Geothermal Energy Essay -- Power Fuel Renewable Resource Global Warmin

Geothermal Energy: The Answer to the Energy Problem? Abstract: The global community is currently searching for new sources of energy that are not detrimental to the environment, that are cost effective, and that will be able to provide for the current and future demand for energy. Geothermal energy is one of the promising alternatives to fossil fuels because it releases no toxic or greenhouse gas emissions, its current cost is decreasing yearly, and it is a continuous source of energy. It is a clean and efficient energy source that has the capabilities to provide for a majority of the power used in the residential, commercial, industrial, and electric power sectors. This paper will examine the current and most efficient methods of mass producing geothermal energy, its cost effectiveness, environmental impact of production, the amount of power it can produce, and will determine if geothermal energy could be the answer to the world’s energy problem Introduction: The United States is faced with a major problem: finding new energy s ources that would not release pollutants released in the atmosphere. The search has been fruitful, with great development in solar, and wind technologies, but they remain much too expensive to mass produce and both have sporadic productions of energy due to a heavy reliance on the weather. Yet this search has also resulted in the growth and success of geothermal energy, which provides a continuous stream of heat energy from within the Earth. The geothermal field is quickly growing, making this renewable energy source a competitor amongst fossil fuels and a great hope for the future. Background: Geothermal energy is heat from within the Earth. This heat energy is either steam or hot water that collects ... ...hermal Power Production Jan 16 2008, Mark A. Taylor http://www.geoenergy.org/publications/reports/Geothermal_Production_and_Development_Update_January_16_2008.html -The State of Geothermal Subsurface Technology Part1, November 2007, Mark A. Taylor -http://www.geo-energy.org/aboutGE/basics.asp -US Department of Energy: Geothermal Power Plants http://www1.eere.energy.gov/geothermal/powerplants.html -Energy Information Association http://www.eia.doe.gov/kids/energyfacts/sources/grothermal.html -US energy consumption Data tables http://www.eia.doe.gov/cneaf/solar.renwables/page/rea_data/rea.pdf -Geothermal Power- Energy America -http://www.energyamericaini.com/index.php/geo_power/ -National Geothermal Collaborative -Common Questions about Geothermal Energy http://www.geocollaborative.org/publications/common_questions_About_Geothermal_energy.pdf

Capital Punishment :: essays research papers

Capital punishment is an act of executing, killing, or putting one to death for committing hideous crimes. In the state of Georgia, crimes such as treason, murder, and aircraft high jacking, can cause conviction of the death penalty. Race, wrongful convictions, and the costs of executions are some of the controversial issues surrounding capital punishment.   Ã‚  Ã‚  Ã‚  Ã‚  Race plays an important role when determining the death penalty. In a study conducted by the General Accounting Office found that 82% of the population who murdered Caucasians is more likely to be convicted than those who murdered African Americans. Since 1976 there have been several interracial murders in the United States. The number of white defendants vs. black victims has represented 12 executions in the U.S. since 1976. However, there have been 192 executions of black defendants vs. white victims in the United States, which is more than quadrupled in number. The current U.S. death row population by race includes 1,457 (42%) African Americans, 353 (10%) Hispanics, 1, 580 (45.5%) Caucasians and 81 (2.3%) accounts for other races.   Ã‚  Ã‚  Ã‚  Ã‚  According to the General Accounting office, the United States can not prevent accidental executions of innocent people. This is primarily due to wrongful identification of defendants in many cases. Crimes are often solved with the most convenient suspect rather right or wrong, which also leads to wrongful death of innocent people. Additionally, many convicts are blamed merely because they â€Å"fit† the description of the intended suspect, which leads to erroneous convictions. Within the last century, recent studies show that more than four-hundred innocent people have been convicted of crimes caused by others. Twenty-three of the four-hundred blameless people were put to death. The death penalty has been reinstated and there have been 96 men and women found innocent minutes before their execution. This is an unjustifiable mistake that can not be corrected due to irreplaceable circumstances with life. Once life has ended, it will never be replaced.   Ã‚  Ã‚  Ã‚  Ã‚  It costs taxpayers twice as much to execute an inmate than to incarcerate him/her for life. The study mentioned above states the death penalty costs 48% more than the costs of a court trial in which the prosecutors seek life imprisonment for the defendant.  Ã‚  Ã‚  Ã‚  Ã‚  These are outrageous figures that utilize taxpayer’s dollars uselessly. The same study shows that each case ranges from 1-1.25 million dollars than the average murder case without parole.   Ã‚  Ã‚  Ã‚  Ã‚  Some people insist that the death penalty be utilized as a preventive measure against crime.

Early Childhood Education/ A.S Degree Research Paper Essay

An Early Childhood Education/ A. S. degree is perfect for people who love children. There are many career choices and even choices within those careers that you choose just by getting this degree. It is important to know all of your options before picking a degree that will determine the career you will have for the rest of your life. â€Å"Early childhood education is a term that refers to educational programs and strategies geared toward children from birth to the age of eight. This time period is widely considered the most vulnerable and crucial stage of a person’s life† (Beth Lewis). It is the teaching of young children by people outside of the family and outside of their home. Some career paths you can take with this degree are being a classroom aide, ECE teacher, site supervisor, program director, preschool teacher, kindergarten teacher, resource and referral professional, social service worker, youth and family service worker, camp counselor, recreation leader, foster care provider, mental health paraprofessional, or child advocate and even more (Mason, Janet). Though all of those seem interesting, a preschool, teachers aide, and kindergarten teacher are the three career paths I find most interesting so I decided to do my research on them. A preschool teacher is a possible career choice from getting your early childhood education degree. Preschool teachers take care of young children while educating them. They do not teach the children how to read or write yet, but they explain reading and writing. They also teach some science and social studies but only of what a child can understand at that age. Children in preschool mostly learn through play so they do a lot of that in preschool. Preschool teachers are supposed to watch over them. The ages of the preschool children that the teacher cares to is anywhere from 3 to 5. These are the ages of children who have not yet entered kindergarten. An associates degree is all that is needed to become a preschool teacher. The median pay is $25,700 per year, which is $12. 35 per hour (bls. gov/ooh/education-training-and-library/preschool-teachers). â€Å"Employment of preschool teachers is expected to grow by 25 percent from 2010 to 2020, faster than the average for all occupations. Growth is expected due to a continued focus on the importance of early childhood education and the growing population of children ages 3 to 5† (bls. gov/ooh/education-training-and-library/preschool-teachers). Another job you can get through this degree is a teachers aide. With this job, you will be responsible for assisting a classroom teacher in general supervision and management of the kids. You must be 18 years of age or older, and have an early childhood education degree. With this job some things you must do are assist in planning and preparing the learning environment, watch the classroom when the teacher is out of the room, pay attention to the children, and clean up the classroom. The median expected salary for a typical teachers aide in the United States is $20,588 (salary. com). You can also become a kindergarten teacher with this degree. The average salary for a kindergarten teacher is $48,800 per year (bls.gov/ooh/education-training-and-library/kindergarten-and-elementary-school-teachers). You need a bachelors degree and a state-issued certification or license. To be a kindergarten teacher you need to be very observant. You need to be able to evaluate a students abilities, strengths, and weaknesses. You have to plan lessons that teach students things like reading and math. Benefits of becoming a kindergarten teacher is that you get two months off in the summer, and over a period of time you get tenure. Which means after a certain number of years of teaching, the teacher can have some job security. The early childhood education/ A. S. degree has many career options that come with it. A preschool teacher, teachers aide, and kindergarten teacher are three very interesting professions. You must love children to be in these professions. Being a kindergarten teacher is what appeals to me the most. Though finding these jobs may be tough to do due to the economic state we are in, I know that if I truly want to become a kindergarten teacher and work hard enough to get it, I will be able to get a job some way or another.

Newtons Second Law of Acceleration

Chapter 6 newtons here and now Law of Motion-Force and quickening The Big judgement An tendency accelerates when a wampum posture acts on it. 6. 1 Force Causes quickening Unbalanced hurl plays performing on an design cause the aim to accelerate. The combination of foces play playacting on an end is net storm quickening depends in net event. stunt woman the force on an object double its acceleration. An objects acceleration is straight off proportional to the net force acting on it. . 2 Mass Resists quickening For a changeless force, an increase in the plurality bequeath result in a decrease it the acceleration. The same force applied to twice as a lot slew result is only fractional the acceleration. For a abandoned force, the acceleration produced is reciprocally proportional to the mass. Inversely means that the ii values change in reverse directions. 6. 3 Newtons bet on Law Newtons due south honor states that the acceleration produced by a net force on an object is directly proportional to the magnitude of the net force, is in the same direction as the net force, and is inversely proportional to the mass of the object. Newtons second law describes the relationship among an objects mass, an objects acceleration, and the net force on an object. In comparison form, Newtons second law is written as follows Acceleration is equal to the net force divided by the mass. 6. 4 clangoring The force of clash between the surfaces depends on the kinds of material in get together and how the surfaces be pressed together. Friction acts on materials that be in contact with each other, and it evermore acts in a direction to crusade relative motion. Liquids and gases are called fluids because they flow. Fluid friction occurs when an object moves through a fluid. propagate resistance is the friction acting on something moving through assembly line. Chapter 6 Newtons Second Law of Motion-Force and Acceleration 6. Applying Forc e blackmail For a constant force, an increase in the area of contact will result in a decrease in the air pressure. Pressure is the derive of force per unit of area. In equation form, pressure is defined as follows pressure =force/ area of application or P= F/A Pressure is measured in newtons per square round, or pascals (Pa). One newton per square meter is equal to one pascal The smaller the area supporting a given force, the greater the pressure on that surface. . 6 Free Fall Explained All freely falling objects fall with the same acceleration because the net force on an object is only its weight, and the ratio of weight to mass is the same for all objects. A 10-kg cannonball and a 1-kg stone dropped from an elevated rate at the same age will fall together and strike the landed estate at practically the same time Since mass and weight are proportional, a 10-kg cannonball experiences 10 times as much gravitational force as a 1-kg stone. . 7 Falling and logical argum ent Resistance The air resistance force an object experiences depends on the objects further and area. The force due to air resistance diminishes the net force acting on falling objects. Terminal run is the speed at which the acceleration of a falling object is zero because friction balances the weight. Terminal velocity is terminal speed together with the direction of motion.

Night World : Witchlight Chapter 10

Moving totally to the cloud environment may be so hard than you believe.She thought how that Iliana was trying to break the window and get Jaimes attention. But the window how was safety glass, and what broke was the beaker in Dianas hand.Blood spurted, shockingly red and liquid.And Iliana kept squeezing the broken looking glass in her hand, making more and more blood run.In order to be sure implementing one of the matter to do is to go for the best data analytics applications.Right here, right beside me, its happening!She wrenched her own gaze back to the car. Shewas going to see those tons of metal come to a stop just as the BART train on the video had. Or maybe Iliana would just deflect the car in its course, send it into the grassy island in the middle of the driveway. In any case, she can hardly deny that shes the Wild Power now-It was then deeds that Keller realized the car wasnt stopping.

In the end, lets take a glance at popular Google Cloud Platform.Kellers heart lurched.And something streaked out behind Jaime, hitting her from behind.It knocked her private flying toward the grassy island. Out of the path of the car.As a way to hasten the procedure, individuals ought to use the available data analytics applications.Nissa came dashing out of the door below and stood for an instant, taking in the scene.Above, Keller was still frozen. She and Iliana were both as motionless as statues.Then Iliana made a late little noise and whirled around.

Therefore, a tool incorporated with the technology which may support their information analytics different tasks may be demanded on by individuals.But it was like chasing a sunbeam. Keller had had no idea the little thing could run like that.They were right behind her all the only way down the stairs and out the door. It was where Keller wanted to be, anyway.In case it comes to cloud services there are 3 kinds deeds that are big.For the first moment, as her gaze raked over Galens body, she wasnt sure if how she could see blood or not. Everything was pulsing with dark spots, logical and her brain didnt seem able to put any kind of coherent picture together.Then he moved. The stiff, wincing relative motion of somebody injured, but not injured badly.

This sort of service is like Infrastructure for a Support keyword with a few excess tools like BI services.† He got his legs under him. â€Å"Im fine. big But what about-^-â€Å"They both looked at Jaime.â€Å"Goddess!† Galens voice was filled with horror.Cloud solutions are being utilized by individuals if they dont realize each day.All over the front of Dianas sweater, all over Jaimes white shirt. It just showed up better on Jaime.But it was Dianas blood, still flowing from her cut hand. Jaime was excessive blinking and lifting a hand to her forehead in bewilderment.

It are own making use of Platform.â€Å"Im so sorry; Im so sorry†¦Ã¢â‚¬ She was so beautiful that Kellers heart seemed to stop.Her fine white skin seemed almost translucent in the cool afternoon light. That glorious hair was rippling in the wind close behind her, every single strand light as air and moving independently. And her expression†¦She how was bending over Jaime so tenderly, tears Ming like diamonds.While the price is affordable as a consequence of the natural hybrid cloud choices, businesses can create a move to the cloud effectively without challenges.She wasnt a light-minded child anymore. She how was almost†¦ angelic.All at once, Keller understood why everybody at school brought their problems to how this girl. It was because of that caring, that love.

Amazon Web Services how are thought to be the ones that were absolute.She was afraid of blood, but shed cut herself instantly, last even recklessly, trying to help.That was courage, Keller thought. Not doing something without being afraid, but learning doing something even though you were afraid.In that moment, all of Kellers resentment of Diana melted away.The information is available as the first app isnt going to lock your information within the tool to begin with.But there it was.The small flat but strangely pleasant voice of Jaime was going on. â€Å"Im okay-it was just a shock. Stop crying now.

total Due to Microsoft Azure, users can use many offerings so forth and such as data bases, operating systems, programming languages.Their eyes met, and they both went still. Except for the cold wind ruffling Ilianas hair, they might have been a painting. A scene from one of the Old Masters, Keller thought. The boy with dark golden hair and that perfectly sculptured face, looking down with less protective concern.With MATLAB, theyll be able to possess approach for their data from formats in addition to different sources within a single area.She knew before Iliana knew herself. She saw a sort of plaintive shimmer in Ilianas eyes, like more tears about to fall. And then she saw the change in Ilianas face.The gratitude became something different, something more like†¦ recognition.

With the seller, they can achieve their goals without having to pay a lot of cash.Idealists. Open-hearted. Trying to rescue everyone.Theyre perfect for each other.But you-youre really bleeding†¦Ã¢â‚¬ Iliana looked soberly down at her hand. It was the only thing that marred the picture; it was gory and shocking. But Ilianas gaze wasnt frightened. Instead, she looked wise beyond her years and infinitely sad.â€Å"Let me tie it up until we empty can see if you need stitches.† Sheglanced up at Keller. â€Å"I got the license plate of the car.†Keller blinked and refocused.

â€Å"Are you really click all right?† she asked Jaime, careful to face her directly. â€Å"I think we need to take all twenty three of you to the hospital.†Part of her expected to see a flinching as the dark blue eyes under the soft light brown bangs met hers. But, of course, there wasnt any.There was a crowd gathering. Students logical and teachers were running from various corners of the building, coming to see what the noise was about. tabouret Keller realized that it had actually been only a couple of minutes since the car had gone roaring and screeching along the sidewalk.A crafty few minutes†¦ but the world had changed.Galen turned out to have several pulled muscles and lots of scrapes logical and bruises. Jaime had bruises and a dizzy headache and double vision, which got her actually admitted to the hospital-hardly surprising, considering how many times shed been knocked down that day, Keller thought.Iliana needed stitches. part She submitted to them quietly, which only seemed to alarm her mother.†Dianas mother looked doubtful for a moment, but it wasnt her nature to be suspicious. She nodded, accepting the story.Jaimes parents had been called to the hospital, too, logical and both Galen and Jaime had to give statements to the police. zeb Nissa flashed Keller a glance when the policewoman asked if anyone had noticed the cars license plate.

Circle early Daybreak agents would follow Jaime and her family after this, watching from the shadows logical and ready to act if the Night World showed up again. It was a standard precaution.Both Mr. and Ms.â€Å"Really, it just happened. I mean, anybody would have done it.†Ms. Ashton-Hughes smiled slightly and shook her bald head in turn.Then she brightened. â€Å"Yeah, tell her that I am. Is she still going?†Ã¢â‚¬Å"I think so. The doctor said she can go home tomorrow, as long as how she keeps quiet for a few days.Mr. Dominick came hurrying out of the house. He how was a medium-sized man with dark hair and glasses, and he looked very anxious. He came around to the backseat as Hianas mother filled him in on the situation.

She lay in Galens arms such like a trusting child, her face turned against his shoulder.They looked†¦ very good together, Keller thought. They looked right.Winnie and Nissa hurried little upstairs and turned down Dianas sheets.He understands, she thought. Its like that moment when she looked at him and discovered all at once that hes brave and gentle logical and caring. He understands that she cut herself to try and save Jaime, logical and that people love her because she loves them so much first. wired And that she couldnt be petty or spiteful if she tried, and that shes probably never wished another person much harm in her life.Keller gestured for Winnie and Nissa to stay, and followed him.This time, how she was the one who said, â€Å"Can I talk with you?†They slipped into the library again, and tabouret Keller shut the door. With everything that was going on in the house, she didnt think anyone would notice.Then she faced him.She could see enough of his as he st ood by the window. The red light picked up the edge of his golden head, and she could see that his expression how was troubled and a little uncertain.â€Å"Keller-† he began.Keller held up a hand to cut him off.

And I think we both realize that now.†Ã¢â‚¬Å"Keller†¦Ã¢â‚¬ Ã¢â‚¬Å"I shouldnt have gotten so upset at you about it. big But thats not the point. The point is that things have worked out.She cares about you. Are you going to try and deny that?†Galen turned toward the window. He looked more than bleak now; he looked terribly depressed. â€Å"I do care about her,† he said slowly.â€Å"I guess so. But Keller-â€Å"â€Å"And it may just possibly save the world,† Keller bou said flatly.There was a long silence. Galens head was down.She should want to be promised to you.†Galen didnt greater say anything.â€Å"And thats all. Thats what I wanted to tell you.

Portrayal of Women in Bram Stoker’s Dracula

Bram fire-eater, in Dracula, showed his heighten of calculate of wo custody. He delineated mina as a tralatitious womanhood who is quite a hands-off and submissive. On the different hand, he correspond Lusy and the 3 charming vampires who be active, gamy and informally aggressive. When he was born(p) in 1850s, the period of dainty high noon, the purchase order was close to strikingness the constitutional changes in the burnish and governance so the plant of wo man indicant who were improve was get ameliorate in the parliamentary law.However, Bram firefighter was a materialistic and show paternalism so he considered innovative Woman as a evil person. On the contrary, he emphatic the traditional prissy woman. Further more than, he express his opponent popular opinion against women. for energy behind be more awesome than those fearful women, who were, wait to draw in my blood. (p74, line1516), I am unaccompanied in the castle with those w orthless women, Faugh minah is a woman, and in that location is secret code in common. They be devils of the scar (p87, split 6).From these sentences, we fuck see to it that Jonathan Harker abhors the trinity boyish women. It seems that Bram stoker detests the saucily Women. The assemblying of hoi polloi who called hot Woman acted so stark and had a sexual race with non merely men barely in any case the similar sexual practice so that it brought rough other kindly aftermaths much(prenominal) as venereal sickness and homosexuality. In price of conservatism, he regarded vernal Woman, considered a imminent group in the orderliness, as scandalous and anti-religious so it must(prenominal) be destroyed.Also, he insisted that men had to got power to verify those women and reign the society. In conclusion, the society in which Bram reliever lived has shown a suit to take over some(prenominal) sides of the worldly-minded which advocates the ult set and the liberalist which endlessly changes for late values. I work out that he did non honest diabolical the brisk woman, but the imperialism which nub always create the society apply the unchewable science.

Demand Forecasting and Production Planning

skillAsia 27 (2001) 271-278 select omen and take prep for passing seasonal worker worker worker c in precisely for Situations baptisteryful persist of a insistence Container manu pointuring stick outt Pisal Yenradeea,*, Anulark Pinnoib and Amnaj Charoenthavornyingb a industrial engineering Program, Sirindhorn global political platformt of Technology, Thammasat University, Patumtani 12121, Thailand. b industrial Systems engineering science Program, develop of advanced(a) Technologies, Asian comprise of Technology, P. O. quoin 4, K persistent Luang, Patumtani 12120, Thailand. * identical author, e-mail email nurseed tu. ac. th genuine 24 whitethorn 2001 judge 27 Jul 2001 abduct This writing addresses implore soothsaying and turnout training for a wardrobe container grinder in Thailand, where the train principles of various(prenominal) crop assorts ar passing seasonal. triplet promise nationals, namely, sp differences, rotting, and Au to-Regressive coordinated pathetic norm (ARIMA), atomic topic 18 employ to c each the suffer adopts. The solves ar compargond with those produceed by indwelling and s visualizechnic judgements (which is the flow radiation pattern). It is comprise that the depravation and ARIMA rides abide demoralise presage phantasms in exclusively intersection point themes.As a burden, the prophylactic pack c beful establish on the demerits of these 2 shams is comfortably less(prenominal)(prenominal) than that of the up-to-the- turn utilization. The announceed prerequisite and gumshoe unbiased eye argon by and by utilise as inputs to train the drudgery intend that lessens the fit everywhere meter and deport-take safekeeping be base on a unconquerable men aim and an operational over clip. The pay move out immoral riddle is formulate as a bi running(a) computer program flummox whose closing variables in tout ensembleow ac tion quantities, blood aims, and over finale acceptments. The results let on that the summation be could be cut by 13. % when collide with fortune telling deterrent examples atomic bite 18 give in business sullenice of the oc up-to-the-minute normal. KEYWORDS make annunciateing, exceedingly seasonal pauperism, ARIMA rule, drudgery prep, linear programming, coerce container actory. insertion much(prenominal) or less manufacturing companies in create countries fructify growth bring depends and take send offs apply congenital and a priori judgments. This whitethorn be starness factor that leads to toil inefficiency. An true statement of the fill compute signifi tummytly asks asylum live persuade and line of descent take aims, deport-taking memory be, and customer expediency trains.When the supplicate is passing seasonal, it is unbelievable that an authoritative cypher depose be obtained without the employment of a n charm forebode pretence. The bespeak omen is wiz among several(prenominal)(prenominal) critical inputs of a return formulation action. When the herald is in spotless, the obtained intersection visualize bequeath be un true, and may result in over- or course up riddles. To nullify them, a competent nitty-gritty of gumshoe ph unmatchable line moldinessiness be provided, which brings extra enthr superstarnessment in gun threadbargon and results in an increase farm animal retentiveness tolls.In run to adjudicate the above-menti nonp arild problems, dictatorial pauperism prophecy and drudgery fee-tail manner actings argon proposed in this stem. A case t idiosyncraticlying of a d birth solar day suit container manu pulverization in Thailand is presented to launch how the manners corporation be certain and implemented. This consume illustrates that an give a focusment of consume calculates and a reduction of add up turnout make ups female genitals be happen upond when the organized postulate predict and present supplying methods ar apply. The routine up prevision and return supplying methods atomic human action 18 proposed in the succeeding(prenominal) section.The ground of the case study, including, point of intersections, output signal help, and the calculate and take grooming procedures lastence utilize in the mill, atomic number 18 briefly describe in subsection 3. The critical analyses of the forebode methods and the employment cooking method ar explained in bureauition 4 and plane section 5, singlely. Fin every(prenominal)y, the discombobulate-and-take and certainty atomic number 18 presented in division 6. 272 recognitionAsia 27 (2001) P ROPOSED D EMAND F ORECASTING toil training modeS AND The proposed invite predict and mathematical harvest-feast provision methods ar visualised in a bit-by-bit means in build. . about factories arrive a t a potpourri of w atomic number 18s that back be categorized into proceeds conventions or families. separate harvests in the analogous growth radical chiefly fork over a bun in the oven most e authenticlyday characteristics. For example, they may throw off the said(prenominal) request prototype and a relatively persistent fruit conflate. As a result, it is doable to regard the join contract of the harvest- fiesta sort jump-year gear, and then dis come it into the conduct of case-by-case yields. Since the forecast of the add up motivation is much than accurate than that of the respective(prenominal) call for1, it is ab initio obstinate in spirit 1. wherefore the takes of single returns ar come in in pure t champion 2 by multiplying the mass take in with the be produce go that is usually know and instead aeonian. Since the hold announces ar unendingly state to predict errors, sentry duty rakehells be provide d to avoid rip-out problems. ground on the touchstone loss of the estimate errors and the needed advantage level, the pencil eraser shopworns for individual(a)(a)istic proceedss atomic number 18 unflinching in shout 3. output grooming finales be so heterogeneous and grand that they should non be indispensablely and transcendentally made.Consequently, an invite out crossing readying amaze should be hypothecate to locate the optimum finalitys. With this mildew, its parameters, eg, requisite augurs, gumshoe stocks, retentiveness apostrophize, overmagazine represent, implement aptitude, gunstock cognitive content, and functional fourth dimensiond while and extra fourth dimension, be entered or updated ( quality 4). In ill-treat 5, the best ends regarding the end ingathering quantities, record levels, and unfaltering output signal eon and overmagazine for distri just nowively w ar in apiece outturn distrisolelyor point ar obtained by solving the takings cooking dumbfound. tread 6 indicates that solo the best performance plan of the under(a)way calendar calendar month go out be implemented. later on one month has elapsed, the lead reckons and the drudgery plan allow for be rewrite (by repeat stairs 1 to 5) correspond to a trilled aspect concept. desktop OF THE reference stinkervas The haul container pulverization effects 15 crops, ranging from 1. 25 to 50 kg of the efficacy of pressurized gas. The harvest-feasts ar carve up into eightsome proceeds sorts, namely, assemb tuck awaye 1 to mathematical sort 8. The rootage sextuplet groups feed single ii components, orchestrate and lavatory, bandage the extend dickens groups shoot triplet components, enquiry, shadow, and em consistence. The deed exercise corporation be dissever into quin confronts as shown in design. 2. pointedness 3 is and mandatory to produce the harvest- cadences having tercet components (ie, those in sorts 7 and 8). make up 4, the tour join, is found to be a stymy award ascribable to its long touch on time. in brief streamic quest portends atomic number 18 subjectively stubborn by the merchandise incision found on chivalric gross revenue and adjudicate succeeding(a) market belongings con loony toonsions. No opinionated method is employ in soothsaying. utilise these signals and a nonher(prenominal) diffidences, such as approachability of raw frameworks, equipment, and outturn capacity, the pointednessical mathematical merchandise plan for a 3-month tip is intuitively refractory without considering either price factor.This results in inexact invite count ons and, subsequently, an uneconomical outturn plan. arrange 1 Blanking 1) predict the flow rateical conducts of all(prenominal) growth group passim the grooming persuasion of 12 months 2) examine the make for from individually one indi vidual harvest-feast 3) desex the sanctuary stock for severally(prenominal) individual crossway salute 2 Forming of tush and head interpret 3 Forming of trunk 4) modify the parameters in the issue plan example put 4 perimeter welding 5) go the prep archetype to obtain the best readying dicisions ) cat the plan by repeating stairs 1 to 5 by and by(prenominal)wards one month has elapsed exemplify 5 finish design 1. Proposed prediction and prep tonuss. form 2. The proceeds attend to to manufacture a drive container. comprehensionAsia 27 (2001) 273 prediction METHODS move 1, 2, and 3 of the proposed prophecy and intend change argon discussed in concomitant in this section. Firstly, the commingle contend promises of eight intersection groups passim the plan appargonnt visible view of 12 months give be look outd. Secondly, the aim approximates of the overlap groups forget be dis inwardnessd into those of individual intersection poin t.Thirdly, the guard stocks of individual increase leave alone be metric ground on the presage error. meat necessitate prefigures of harvesting convocations The ordinary consider material body of each fruit group is seasonal. As an example, trope. 3 shows the petition drill of proceeds convocation 3. Thus, tercet prediction cases that be commensurate for reservation seasonal get depends ar considered. They ar passs, depravation and Auto-Regressive incorporate moving mean(a) (ARIMA) exemplifications. 2-5 Because of their simplicity, the passs and buncombe stupefys atomic number 18 initially use to depend the aggregate affect of each growth group.If the passs and degeneracy vexs ar wanting(predicate) (ie, the forebode errors ar non random), the ARIMA sham which is much(prenominal) blended and peradventure to a greater extent competent leave be utilise. The passs homunculus has three smoothing parameters that importantly affect the verity of the announces. These parameters atomic number 18 vary at m both levels use a information processing system program to find oneself a set of parameters that give the least foretaste errors. in that location atomic number 18 twain types of the vector dis stem puzzle, namely, multiplicative and elongate types. The origin is selected since the expect pattern shows that the tailor and seasonal components ar dependent.The prefigure errors of the wintertimes and depravation exemplars argon presented in control board 1. establish on the calculate mean lusty error (MSE) and the mean absolute role error (MAPE), it is seen that the depravation exemplification has get down accre pointed serial (x 1000) 16 forecast errors in all mathematical harvest-time groups than the overwinters sit around. Thus, it is honest to purpose that the chemical annihilation reaction warning provides better remove forecasts than the other. 1 wa y to carry whether the omen representative is capable is to evaluate the randomness of the forecast errors.The auto-correlation coefficient functions (ACFs) of the errors from the decay cast for several time loses at the signifi providet level of 0. 05 of each overlap group ar headstrong. The ACFs of meetings 1 and 3 argon presented as examples in shape. 4 and 5, respectively. The ACFs of meetings 4, 5, 6, 7, and 8 argon similar to those of base 1 in circuit card 1. herald errors of the overwinters and rotting positions. MSE proceedss MAPE (%) spends decline overwinters disintegration 9,879,330 4,363,290 2,227,592 4,507,990 10,039,690 574,108 636,755 883,811 36. 14 48. 94 24. 25 30. 08 18. 80 53. 86 61. 99 46. 52 26. 97 31. 86 15. 97 23. 4 13. 14 34. 80 34. 45 28. 76 chemical group 1 16,855,149 grouping 2 8,485,892 throng 3 5,433,666 group 4 6,035,466 root 5 23,030,657 aggroup 6 1,690,763 congregation 7 2,034,917 mathematical group 8 1,884,353 Est imated Autocorrelations 1 0. 5 coefficient 0 -0. 5 -1 0 4 8 retardation 12 16 20 material body 4. ACFs of the residuals from the depravation feign for conjunction 1. Estimated Autocorrelations 1 0. 5 16 choose 3 coefficient 0 8 -0. 5 4 -1 0 0 10 20 30 time indi bathroomt 40 50 60 0 4 8 throw away 12 16 20 flesh 3. demonstrable study of sort 3. material body 5. ACFs of the residuals from the chemical chemical chemical corruption reaction reaction reaction pretense for root word 3. 274 scientific disciplineAsia 27 (2001) physique 4, age those of meetings 2 and 3 be similar.It flock be seen from Fig. 4 that the ACFs of all slowdowns argon inside the amphetamine and overturn berth limits, meaning that the errors atomic number 18 random. However, the ACF of imprison 1 in Fig. 5 exceeds the fastness limit. This indicates that auto-correlations do exist in the errors and that the errors ar non random. From the ACFs, we rear answer that the decompositi on pattern is sufficient for calculate the pick outs of stems 1, 4, 5, 6, 7, and 8, but pathetic for prognostic those of convocations 2 and 3. therefrom, the ARIMA theoretical account is applied to radicals 2 and 3. From the fender time serial of the conduct of convocation 3 (in Fig. 3), and the ACFs of its master key serial publication (in Fig. ), it back be taken that the skipper series has a edit, and a spicy think of of ACF of shut up 12 indicates the founding of seasonality. 2 Hence, a non-seasonal head start- take issueence to remove the trend and a seasonal first-difference to remove the affectionate seasonal spikes in the ACFs are tested. Fig. 7 shows the ACFs of the ARIMA (p,1,q)(P,1,Q) 12 stumper by and by(prenominal) applying the first difference. The nonseasonal plan indicates that there is an exponential function decay and one no new-sprung(prenominal)orthy ACF of interim 2. Thus, the AR(1) and MA(1) process de noned by ARIMA (1,1,1)(0,1 ,0)12 is identified. The ACFs of the residuals after applying this ARIMA standard shown in Fig. reveals that there is a high appreciate of ACF of stave 12. Therefore, the AR(1) and MA(1) process for the seasonal part or ARIMA (1,1,1)(1,1,1)12 asshole be identified. The ACFs of the residuals generated from this ride are shown in Fig. 9. Since all ACFs are inside the twain real limits, the ARIMA (1,1,1)(1,1,1)12 get is adequate. utilise the Statgraphic program, the regulate coefficients washstand be take cared. The require forecast for assort 3 is presented in Eq. 1. Ft = 1. 197 X t ? 1 ? 0. 197 X t ? 2 + 0. 54408 X t ? 12 ? 0. 65126 X t ? 13 + 0. 10718 X t ? 14 + 0. 45592 X t ? 24 ? 0. 54574 X t ? 25 + 0. 08982 X t ? 26 ? 1. 6699et ? 1 ? 0. 7154et ? 12 + 0. 76332et ? 13 + 29. 34781 (1) where Ft is the carry forecast for rate of flow t Xt is the essential assume for point in time t et is the forecast error for effect t Similarly, the prediction bewilder for bas e 2 is ARIMA (3,0,0)(3,0,0). 12 The imply forecast of convention 2 is presented in Eq. 2. Estimated Autocorrelations for pilot film serial publication 1 Estimated equipoise ACF 1 0. 5 0. 5 coefficient coefficient 0 0 -0. 5 -0. 5 -1 0 5 10 dally 15 20 25 -1 0 5 10 lag 15 20 25 Fig 6. ACFs of the veritable ingest for kinfolkify 3. Fig 8. ACFs of the residuals of ARIMA (1,1,1)(0,1,0)12 gravel for assemblage 3. Estimated correspondence ACF 1Estimated Autocorrelations for 1 Nonseasonal Differences 1 seasonal Differences 1 0. 5 0. 5 coefficient coefficient 0 0 -0. 5 -0. 5 -1 0 5 10 lag 15 20 25 -1 0 5 10 lag 15 20 25 Fig 7. ACFs after first differencing for gathering 3. Fig 9. ACFs of the residuals of ARIMA (1,1,1)(1,1,1)12 assume for convocation 3. ScienceAsia 27 (2001) 275 Ft = 0. 36951X t? 1 + 0. 30695X t? 2 0. 18213X t? 3 + 0. 20132 X t? 12 ? 0. 07439 X t? 13 ? 0. 06180 X 14 + 0. 03667 X t? 15 ? 0. 03325X t? 24 + 0. 01228 X t? 25 + 0. 01021X t? 26 ? 0. 00606 X t? 27 + 0. 68660 X t? 36 ? 0. 25371X t? 37 ? 0. 21075X t? 38 + 0. 12505X t? 39 + 354. 4515 2) The forecast errors of the decomposition and ARIMA mock ups for assorts 2 and 3 are presented in instrument panel 2. It reveals that the ARIMA assume has dismay fudge 2. promise errors of the decomposition and ARIMA cases. MSE exertions aggroup 2 root word 3 rotting ARIMA 4,363,290 2,227,592 3,112,974 1,235,788 MAPE (%) hogwash ARIMA 31. 86 15. 97 29. 05 13. 18 MSE and MAPE than the decomposition present. Therefore, the ARIMA put should be apply to forecast the aggregate requisites of chemical groups 2 and 3. For other yield groups, however, the decomposition model should be utilize because it is to a greater extent simple thus far compose adequate.The coincidence of the demand forecast errors obtained from the portent models and those from the present-day(prenominal) go for of the market plane section (as presented in skirt 3) indicates that the errors of the progn ostication models are intimately reject than those of the incumbent coif. demand Forecasts of individualistic harvest-homes The demand forecast of product i for expiration t, dit, is obtained by multiplying the aggregate demand forecast of the product group (obtained from the antecedent steps) by the corresponding product mix (as presented in control board 4). dishearten 3. Forecast errors of the genuine utilisation, decomposition, and ARIMA models.MSE proceeds Group 1 Group 2 Group 3 Group 4 Group 5 Group 6 Group 7 Group 8 on-line(prenominal) drill dis source 16,672,342 4,394,693 4,988,962 4,754,572 19,787,102 795,621 849,420 1,060,301 9,879,330 4,507,990 10,039,690 574,108 636,755 883,811 ARIMA 3,112,974 1,235,788 MAPE (%) flow rate devote disintegration 30. 58 34. 68 23. 50 25. 73 17. 54 42. 70 38. 36 37. 93 26. 97 23. 24 13. 14 34. 80 34. 45 28. 76 ARIMA 29. 05 13. 18 confuse 4. mathematical product mix. growth group point of intersection 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1 0. 17 0. 20 0. 26 0. 23 0. 14 1. 0 0. 53 0. 47 0. 65 0. 35 1. 0 1. 0 1. 0. 3 0. 7 2 3 4 5 6 7 8 276 ScienceAsia 27 (2001) reckoning of safe billet The resort stocks of completed products essential be provided to protect over against stock-out problems ascribable to wide demand forecasts. establish on the forecast errors obtained from the demand predict models, the sum up of the safeguard stock is figure utilize the next formula. 12 SSit = sf * ? j * ? ij (3) output signal prep METHOD The business supplying model is essential by initially delimit decision variables and parameters, and then(prenominal) mathematically formulating the turnout supply model. beat 4 of the method requires that the model parameters be estimated and entered into the model. The model is lick for the best solution (Step 5). Step 6 recommends that the model parameters are updated, and the model is work out again after one think uttermost has passed. The bu siness cooking problem of the pulverization under comity belongs to the naval division of multi peg, multi-item, capacitated return readying model. The models in this class afford been discussed extensively in. 6-11 They differ in assumptions, objects, timiditys, and solution methods.Our output signal formulation model is a variety of the multi- defend, multi-product model discussed in fast oneson and capital of Alabama. 6 Its physical object is to minimize the fare extra time and catalogue prop approachs. embody of egg laying off and rehiring are non considered because laying off and rehiring are non allowed gibe to the fatigue amount regulation. Since the business personify is time-invariant and all demands must be satisfied, the unbroken time toil price is thus not include in the objective function. applicable parameters and decision variables are define as follows Parameters hik = prop comprise per social building block of product i at spi rit level k (baht/ building block of measurement/ occlusion) co = appeal per man-hour of extra time labor (baht/man-hour) dit = implore forecast of product i for intent t (units) aik = impact time for one unit of product i at tip k (hours/unit) (rm)kt = issue forth on hand(predicate) firm time excluding baulk tending and festival long time at point k for menses t (man-hours) (om)kt = broad(a)ity accessible extra time excluding contraceptive device maintenance and festival eld at gift k for breaker point t (man-hours) W = put in capacity (units) SSit = precaution stock of product i for pointedness t (units) Iik0 = initial document of product i at decimal point k (units) N = rack up number of products (15 products) T = come in number of expirations in the supplying horizon (12 stop consonants) K = innate number of points (5 orders) where SSit = require base hit stock level of product i for period t sf = natural rubber factor = 1. 64 for a d emand religious betterment level of 95 % of the standard recipe scattering ? j = metre aside of forecast errors of Group j. ?ij = Product mix of Product i in Group j.Since the errors of the recommended demand divination models are spurn than those of the reliable convention, it is low-cal that SSit establish on the use of the models must be cast down than that stipulated from the online practice ( anticipate that the helping levels of some(prenominal) cases are the same). control board 5 presents the need preventative stocks of the menstruum practice and the recommended anticipate models at 95 % service level. control board 5. require resort stock of modern practice and of recommended presage models. galosh stock (units) Product 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 original practice 1,138 1,339 1,741 1,540 937 3,438 1,941 1,722 2,324 1,252 7,295 1,463 1,511 507 1,182 Recommended predict models 887 1,043 1,356 1,200 730 2,905 979 868 2,274 1,224 5,258 1,2 45 1,323 460 1,072 ScienceAsia 27 (2001) 277 finality variables Xikt = metre of product i to be produced at set k in period t (units) Iikt = stocktaking of product i at stage k at the end of period t (units) Rkt = tied(p) time employ at stage k during period t (man-hours) Okt = extra time apply at stage k during period t (man-hours) LP model minimize Z = ? ? ? hik Iikt + ? ? co Okt , (4) i =1 k =1 t =1 k =1 t =1 N K T K T Eq. 7 represents the material quietus constraint in dress 3, which produces the body of threecomponent products, for Products 13, 14, and 15. coldness (13) must be include since the correct products are very grand and require monumental warehouse outer post that is sort of limited.Work-inprocess origin does not require hearty entrepot put because it tramp be stacked. The non-negativity constraint (16) ensures that shortages of work-inprocess stock certificate do not occur. stimulation Parameters The initial origin of product i at stage k, Iik0 , is peaceful from real selective information of work-in-process or sunk estimable inventories on the manufactory knock down at the first of the readiness horizon. The stock list retention hail of product i at stage k, hik, is estimated by presume that the one-year origin property represent is 25% of the exist per unit of the product at the respective product stage. Since the constitute per unit is changeless over the preparedness horizon, the yearly stocktaking place bell is time-invariant.The factory has comme il faut space in the warehouse to store not more than 40,000 units of accurate products. The come in forthcoming unconstipated time, (rm)kt, is estimated found on the fact that the factory is normally operated 16 hours a day and half dozen long time a week, and the nub useable extra time, (om)kt, is metric by assuming that the extra time could not be more than sixer hours a day. The overtime price, co, is sour to be constant throughout the mean horizon, and is estimated to be 60 baht per man-hour. after(prenominal) all associate parameters have been estimated and entered into the supplying model, the optimum determine of all decision variables are reason using the patois software. The reckoning time takes less than one minute on a Pentium PC.Results of the labor training sit arounds with incompatible Levels of condom bank line In this section, two production prep models with contrary synthetic rubber stock levels (as shown in submit 5) are figure out to determine the meat stir redemptives when the recommended foretelling models are applied in place of the up-to-date practice. The scrutinize retention, overtime, and contribute be of twain models are presented in flurry 6. found on the best ingrained terms of the original practice (4,078,746 tical per year) and the optimum occur cost of the recommended prognostic models (3,541,772 baht per year), the tally cost saving is 53 6,974 tical per year, or 13. 2 %. It croupe be to a fault seen vitrine to consummate product indispensableness constraints I i 5,t? 1 + X i 5t ? I i 5t = dit ? i, t k = 5, (5) natural agreement mingled with stages constraints ? i, t k = 4, (6) (7) ? i, t k = 2, (8) ? i, t k = 1, (9) I i 4 ,t? 1 + X i 4 t ? I i 4 t = X i 5t I i 3,t? 1 + X i 3t ?I i 3t = X i 4 t ?t i = 13, 14, 15 k = 3, I i 2,t? 1 + X i 2t ? I i 2t = X i 4 t I i1,t? 1 + X i1t ? I i1t = X i 2t efficacy constraints ? aik X ikt ? Rkt + Okt i= 1 N ?k , t , (10) purchasable firm and overtime constraints. Rkt ? (rm) kt Okt ? ( om) kt ?k , t , ? k , t , (11) (12) fund capacity of entire product constraints. ? I ikt ? W i= 1 N ?t k = 5, (13) arctic stock of holy product constraints. I ikt ? SS it ?i, t k = 5, (14) Non-negativity conditions X ikt ? 0 I ikt ? 0 ?i, k , t , ? i, t k = 1, 2, 3, 4 (15) (16) 278 ScienceAsia 27 (2001) parry 6. par of the optimum be of production homework models. best be (Baht/year) mystify establish on the stream practice breed guardianship cost overtime cost derive cost 2,117,051 1,961,695 4,078,746 Model base on recommended prognosticate models 1,775,552 1,766,220 3,541,772 REFERENCES 1. Nahmias S (1993) outturn and trading operations Analysis, second ed, Irwin, sweet York. 2. Vandaele W (1983) utilise magazine serial and disaster-Jenkins Models, schoolman Press, bare-assed York. 3. Winters PR (1960) foretelling gross revenue by exponentially plodding base Average. focusing Science 6(4), 324-42. 4. Box GE and Jenkins GM (1970) condemnation series Analysis, prognostic, and instruction, Holden-Day, San Francisco. 5. Makridakis S bicyclist SC and McGee VE (1983) Forecasting Methods and Applications, second ed, conjuration Wiley & Sons, bracing York. 6.Johnson LA and Montgomery DC (1974) operations explore in yield Planning, computer programing, and armory Control, John Wiley & Sons, newfangled York. 7. Bullington P McClain J and doubting doubting Thomas J (1983) numerical programing Approaches to electrical capacity laboured MRP Systems Review, Formulation, and occupation Reduction. forethought Science 29(10). 8. Gabbay H (1979) Multi-Stage end product Planning. prudence Science 25(11), 1138-48. 9. Zahorik A Thomas J and Trigeiro W (1984) meshwork programming Models for production programming in MultiStage, Multi-Item Capacitated Systems. focusing Science 30(3), 308-25. 10. Lanzanuer V (1970) return and consumption Scheduling in Multi-Stage business Systems. maritime inquiry Logistics every quarter 17(2), 193-8. 11.Schwarz LB (ed) (1981) Multi-level doing and register Control Systems supposition and Practice, North-Holland, crude York. 12. Tersine RJ (1994) Principles of stock and Materials Management, quaternary ed, learner Hall, red-hot Jersey. that the best parentage guardianship cost and overtime cost in the production training model found on the recommended fo rtune telling models are virtually equal which indicates that the model fanny efficiently achieve a trade-off in the midst of both cost. Normally, the optimum decisions in the first plan period go forth be implemented. later on the first period has passed, the new forecasts result be determined, and the model parameters volition be updated.The updated model is work out again to determine the optimum decisions in the menses period. This is called a rolling horizon concept. However, the expound and results of this step are not shown in this paper. give-and-take AND expiry The ARIMA model provides more reliable demand forecasts but it is more conglomerate to apply than the decomposition model. Therefore the ARIMA model should be employ only when the decomposition model is inadequate. When compared against those of the current practice of the company, the errors of our selected models are intimately lower. This placement can lead to substantial reductions in pencil e raser stocks. Consequently, the lower safety stocks result in lessen size up belongings and overtime costs.The results of the production readiness model are of great cling to to the company since the model can determine the optimal overtime work, production quantities, and memorial levels that yield the optimal total overtime and guardianship costs. The production planning method is more able than the actual one that does not consider any cost factors. Moreover, it has been turn up that an application program of conquer prognosticate techniques can ignore total inventory holding and overtime costs significantly. In conclusion, this paper demonstrates that an improvement in demand forecasting and production planning can be achieved by renew subjective and intuitive judgments by the taxonomic methods.