Order acceptance and scheduling with earliness and tardiness penalties

被引:0
|
作者
Simon Thevenin
Nicolas Zufferey
Marino Widmer
机构
[1] University of Geneva,Geneva School of Economics and Management, GSEM
[2] University of Fribourg,DIUF, Decision Support & Operations Research
来源
Journal of Heuristics | 2016年 / 22卷
关键词
Scheduling; Earliness; Tardiness; Order acceptance; Metaheuristics;
D O I
暂无
中图分类号
学科分类号
摘要
This paper addresses a production scheduling problem in a single-machine environment, where a job can be either early, on time, late, or rejected. In order acceptance and scheduling contexts, it is assumed that the production capacity of a company is overloaded. The problem is therefore to decide which orders to accept and how to sequence their production. In contrast with the existing literature, the considered problem jointly takes into account the following features: earliness and tardiness penalties (which can be linear or quadratic), sequence-dependent setup times and costs, rejection penalties, and the possibility of having idle times. The practical relevance of this new NP-hard problem is discussed and various solution methods are proposed, ranging from a basic greedy algorithm to refined metaheuristics (e.g., tabu search, the adaptive memory algorithm, population-based approaches loosely inspired on ant algorithms). The methods are compared for instances with various structures containing up to 200 jobs. For small linear instances, the metaheuristics are favorably compared with an exact formulation using CPLEX 12.2. Managerial insights and recommendations are finally given.
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页码:849 / 890
页数:41
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