Technology for Production Scheduling of Jobs for Open Innovation and Sustainability with Fixed Processing Property on Parallel Machines

Technology for Production Scheduling of Jobs for Open Innovation and Sustainability with Fixed Processing Property on Parallel Machines
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DOI:
10.3390/su8090904
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发表时间:
2016-09
期刊:
影响因子:
3.9
通讯作者:
Sang-Oh Shim;KyungBae Park
Sang-Oh Shim;KyungBae Park
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Sang-Oh Shim;KyungBae Park

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本文提出了一种生产调度技术,以实现制造业务的可持续性和开放式创新。设计了在具有固定处理属性的并行机器上调度作业的方法。由于质量问题,大多数制造系统都存在固定加工属性,即一组特定的作业可以在预定的机器上加工。通常,尽管并行机器可以处理各种类型的作业,但在实际制造系统中,为了不降低产品质量,优选固定处理。为了最大限度地减少作业的完工时间(定义为所有作业的最终完成时间),生产调度技术得到了发展。设计了几种启发式算法来解决该问题,并进行了一系列计算实验来评估建议算法的性能。结果表明,建议的算法可以在合理的计算时间内获得更好的解决方案。也就是说,如果所提出的技术应用于实际制造企业的生产调度系统,则可以预期产品的数量和质量将得到提高,因为它们受到生产调度的影响。
In this paper, a technology for production scheduling is addressed for the sustainability and open innovation in a manufacturing business. Methodologies for scheduling jobs on parallel machines with the fixed processing property are devised. The fixed processing property, in which a group of specific jobs can be processed on the predetermined machine, can be found in most manufacturing systems due to the quality issues. Usually, even though parallel machines can process various types of jobs, the fixed processing is preferred as to not deteriorate products’ quality in real manufacturing systems. To minimize makespan of jobs, which is defined as the final completion time of all jobs, technology for production scheduling is developed. Several heuristic algorithms are devised for solving the problem and to evaluate performance of the suggested algorithms, a series of computational experiments is performed. Results show that better solutions are obtained by the suggested algorithms in a reasonable amount of computation time. That is, if the proposed technology is applied to the production scheduling system of a real manufacturing business, it can be expected that quantity and quality of the product will be enhanced since they are influenced by the production scheduling.