Lot-sizing Algorithms in Flexible Manufacturing Systems with Simulation Experiments
Abstract
A flexible manufacturing system (FMS) is a manufacturing system for producing goods that is readily adaptable to changes in the product being manufactured, both in type and quantity. Machines and computerized systems are configured to manufacture different parts and handle varying levels of production. This research focuses on lot-sizing decisions which are critical to the successful implementation and operations of FMS. The objectives of the research are to explore how some of the traditional lot-sizing algorithms currently available in the job shop production systems may be modified to accommodate the unique characteristics and operating environments of FMS, and to conduct a series of simulation experiments to evaluate the performance of the proposed lot-sizing algorithms in hypothetical FMS under a selected set of operating conditions.
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