Integrated models for strategic and tactical decision making in manufacturing management
Abstract
In this dissertation, two problems are studied that are crucial for manufacturing companies. The first study concerns increasing the productivity for a printed circuit board (PCB) manufacturer through minimizing the manufacturing time. It integrates the problems of both allocating components to feeders and sequencing the placement on PCBs. A lower bound using Lagrangian relaxation is generated and heuristics are provided for both integrated and independent approaches. Through computational experiments, it is shown that an integrated approach provides more efficient results than an independent treatment. The second study examines the influence of exchange-rate risk on production planning decisions for a multinational company. The problem is formulated as a stochastic program with recourse; provided are the optimal production policies with the conditions which lead to them. One counter-intuitive result indicates that there are conditions under which it is optimal to produce less than the total demand. Also presented is the impact of the correlation coefficient between exchange rates in these policies. Finally, findings are illustrated with data provided by IBM.
Degree
Ph.D.
Advisors
Moskowitz, Purdue University.
Subject Area
Management
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