Tuesday, May 19, 2020

Operational Efficiency and Operational Optimization...

Operational Efficiency Operational Optimization Sa – Situation Anlysis Pa – Problem Analysis Da – Decission Analysis Pa – Probabilty Analysis 1) Suppose that a peak harvest-season day involves 18,000 barrels of berries, 70% of them wet harvested, arriving uniformly over a twelve-hour period from 7 a.m. to 7 p.m., and process initiates as soon as the first truck arrives. a) At what time during the day, would the trucks start queuing up to upload? Answer: - Trucks carrying wet berries will have to wait to unload during the day because the incoming arrival rate is 1050 is greater than processing rate 600. The Trucks arriving with dry berries will not have to wait as processing is greater than†¦show more content†¦The predicted increase in the wet berries growth to 70% will increase the overtime issues as the dryer is the bottle neck in the process and wet berries require going through this step. There is also a secondary problem regarding grading of process berries. Half of the berries graded top quality is actually not top quality and do not deserve extra premiums paid on the top quality berries. This is due to the inefficient quality assessment method. The waiting of the Trucks can be reduced by adding an extra storage bin (converting the bins to be used for both wet and dry berries) to the system. The other reason for the increased wait time is that the processing at the plant starts at 11:00 am whereas the trucks start delivering at 7:00am due to which the trucks have to wait for a longer time. So the working shift should be change to 7:00 am instead of 11:00 am. This will effectively decrease the wait time of the berries. This will also eliminate the need of adding the extra storage to the system as the process will start as soon as the deliveries start eliminating the berry stock build up. Scheduling and holding capacities will not work if we cannot dry the berries. By adding two additional driers, NCC will be able to dry 400 barrels per hour of wet berries decreasing the bottleneck. The issue of over incentives paid for theShow MoreRelatedDifference Between Simulation and Optimization1541 Words   |  7 Pagesis whether optimization, simulation, or a hybrid model (combination of optimization and simulation) is a better option to pursue. In this paper, we fundamentally distinguish the two modeling approaches – Supply Chain Optimization vs. Supply Chain Simulation, and the scenarios where the each option should be employed. Overview Optimization focuses on finding the optimal solution from millions of possible alternatives while meeting the given constraints of the supply chain. Optimization utilizes mixedRead MoreThe Summary of What Is Strategy from Michael Porter1471 Words   |  6 Pages What Is Strategy? (To make a summary of the article while answering the question, the answer directly related to the questions are highlighted ) 1. 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