Optimal production scheduling: Case Study Texstyle Ghana Limited Tema
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Date
2011-10-03
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Abstract
Many manufacturing firms generate and update production schedules, which are plans that state when certain controllable activities (e.g., processing of jobs by resources) should take place. As production systems expand, there is the tendency for the scheduling activities to become complex. When viewed from the problem-solving perspective, production scheduling is a fascinating puzzle to be solved by moving tasks around a Gantt chart, searching for the optimal solution. The organizational perspective, which is the most complete, views production scheduling as a system of decision-making that transforms information about the manufacturing system into a plan (the production schedule). Schedulers must perform a variety of tasks and use both formal and informal information to make scheduling decisions. Previous production scheduling involves complicated iterative procedures. A new approach brings out the basic principles and leads to a simple solution. The objective of this study is to establish an efficient optimum production schedule that will minimize the total production and inventory cost whilst satisfying customer demands for TexStyle Ghana Limited. The Vogel’s Approximation Method (VAM) was used to find an Initial Basic Feasible Solution (IBFS). Improving the solution to optimality was carried out by using the Modified Distribution Method (MODI). The production problem was modelled as a transportation problem. Optimality conditions were satisfied and a solution was found using Excel Solver.
Results from the analysis indicated that customer demands could be satisfied without necessarily running overtime production throughout the year and that an efficient production schedule could ensure cost reduction, optimum utilization of capacity, proper inventory control and management, quality and ultimate optimality.
Description
A Thesis Submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, in Partial Fulfilment of the Requirement for the Degree of Master of Science in Industrial Mathematics, Institute of Distance Learning.