Type of Document	Master's Thesis
Author	Rahman, Mohammad Anwar Ashek
Author's Email Address	mrahma2@lsu.edu
URN	etd-0207103-072636
Title	Supply Chain Models for an Assembly System with Preprocessing of Raw Materials
Degree	Master of Science in Industrial Engineering (M.S.I.E.)
Department	Industrial and Manufacturing Systems Engineering
Advisory Committee	Advisor Name Title Bhaba R. Sarker Committee Chair Dennis Webster Committee Member Lawerence Mann Committee Member
Keywords	supply chain system assembly system raw materials batch production
Date of Defense	2002-12-09
Availability	unrestricted
Abstract An assembly line that procures raw materials from outside suppliers and processes the materials into finished products is considered in this research. An ordering policy is proposed for raw materials to meet the requirement of a production facility, which, in turn, must deliver finish products in a fixed quantity at a fixed time interval to the outside buyers. Two different types of raw materials, ‘unfinished’ and ‘ready-to-use’, are procured for the manufacturing system. The ‘unfinished raw materials’ are turned into ‘processed raw materials’ after preprocessing. In the assembly line, the ‘processed raw materials’ and the ‘ready raw materials’ are assembled to convert into the final products. A cost model is developed to aggregate the total costs of raw materials, Work-in-process, and finished goods inventory. Based on the product design and manufacturing requirement a relationship is established between the raw materials and the finished products at different stages of production. A non-linear integer-programming model is developed to determine the optimal ordering policies for procurement of raw materials, and shipment of assembly product, which ultimately minimize the total costs of the model. Numerical examples are presented to demonstrate the solution technique. Sensitivity analysis is performed to show the effects of the parameters on the total cost model. Future research direction is suggested for further improvement of the existing results.
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