在seru生产系统中基于工作量的订单接收

IF 0.5 Q4 ENGINEERING, INDUSTRIAL

International Journal of Manufacturing Research Pub Date : 2020-05-04 DOI:10.1504/IJMR.2020.10021557

Yulong Wang, Zhe Zhang, Yong Yin

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引用次数: 2

摘要

本文主要研究考虑订单接受的seru装载问题。在实践中，制造公司可能在计划期之前收到一定数量的订单，并且每个订单都有不同的处理时间、设置时间、收入、逾期罚款和到期日。由于生产能力的限制，制造公司需要做出订单接受和装载决定，以实现利润最大化。根据seru生产系统的并行结构和模型的特点，设计了矩阵交叉遗传算法。最后，通过两个算例验证了模型和算法的实用性和有效性。【2018年6月19日提交；2018年11月7日接受】

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Workload based order acceptance in seru production system

This paper focuses on the seru loading problem considering order acceptance. In practice, manufacturing company may receive a certain number of orders before the planning period, and each of them has the different processing time, setup time, revenue, tardiness penalty and due date. Due to the limitation of production capacity, the manufacturing company need to make order acceptance and loading decision to maximise profits. According to the parallel structure of seru production system and the characteristics of proposed model, the genetic algorithm with matrix crossover (MCGA) is designed. Finally, two numerical examples are applied to show the practicability and effectiveness of proposed model and algorithm. [Submitted 19 June 2018; Accepted 7 November 2018]

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来源期刊

International Journal of Manufacturing Research Engineering-Industrial and Manufacturing Engineering

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： Manufacturing contributes significantly to modern civilization and creates momentum that drives today"s economy. Much research work has been devoted to improving manufactured product quality and manufacturing process efficiency for many decades. Thanks to recent advances in computer and network technologies, sensors, control systems and manufacturing machines, manufacturing research has progressed to a new level. In addition, new research areas in manufacturing are emerging to address problems encountered in the evolving manufacturing environment, such as the increasing business practice of globalisation and outsourcing. This dedicated research journal has been established to report state-of-the-art and new developments in modern manufacturing research.