A New Bottleneck-Based Heuristic for Reentrant Job Shops: A Case Study in a Textile Factory
Seyda Topaloglu () and
Gamze Kilincli ()
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Seyda Topaloglu: Dokuz Eylul University, Department of Industrial Engineering
Gamze Kilincli: Dokuz Eylul University, Department of Industrial Engineering
Chapter 26 in Operations Research Proceedings 2008, 2009, pp 159-164 from Springer
Abstract:
Summary The classical job shop assumes that each job visits a machine only once. In practice, this assumption is often violated. Recently, the reentrant job shop has become prominent in which a certain job may visit a specific machine or a set of machines more than once during the process ow. Reentrant job shops can be found in many production systems, particularly in high-tech industries such as semiconductor manufacturing. Another example is the manufacturing of printed circuit boards that require both surface-mounted devices and conventional pinthrough- hole devices. It is also employed in parts that go through the painting and baking divisions alternately for different coats of paint in a painting shop. The problem of minimizing makespan in a reentrant job shop is theoretically challenging. In fact, it is NP-hard in the strong sense even for the two-machine case [1]. For the solution of job shop scheduling problems (JSSPs), exact methods such as integer programming formulations [2] and branch-and-bound algorithms [3] have been developed to produce optimal solutions. However, their worst-case computational burden increases exponentially with the size of the problem instance. As noted in Aytug et al. [4], for industrial problems the computational time of any algorithm must be short enough that the resulting schedule can be used. Hence, a variety of heuristic procedures such as dispatching rules, decomposition methods, and metaheuristic search techniques have been proposed for finding “good” rather than optimal solutions in a reasonably short time.
Keywords: Completion Time; Short Processing Time; Total Weighted Tardiness; First Come First Serve; Longe Processing Time (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-00142-0_26
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DOI: 10.1007/978-3-642-00142-0_26
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