Mixed Integer Programming models for job shop scheduling: A computational analysis
نویسندگان
چکیده
منابع مشابه
Mixed Integer Programming models for job shop scheduling: A computational analysis
In both industry and the research literature, mixed integer programming (MIP) is often the default approach for solving scheduling problems. In this paper we present and evaluate four MIP formulations for the classical job shop scheduling problem (JSP). While MIP formulations for the JSP have existed since the 1960s, it appears that comprehensive computational studies have not been performed si...
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Recent work on solving job-shop scheduling problems with earliness and tardiness costs has led to several hybrid algorithms that are more effective than any one method alone. In particular, these hybrid methods have been found to be more effective than pure mixed integer programming (MIP) approaches. This paper takes a fresh look at MIP formulations in light of several new MIP strategies for pr...
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In this thesis, we review and synthesize a number of algorithmic approaches for optimizing the job-shop scheduling problem (JSSP). The complexity of the JSSP leads to large and difficult combinatorial optimization models. In Chapter 1, we review first an analytical method based on Mixed Integer Programming (MIP). Second, we review an assumption-based heuristic method. In Chapter 2, the JSSP is ...
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ژورنال
عنوان ژورنال: Computers & Operations Research
سال: 2016
ISSN: 0305-0548
DOI: 10.1016/j.cor.2016.04.006