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Interactive job sequencing system for small make-to-order manufacturers under smart manufacturing environment
Peer-to-Peer Networking and Applications ( IF 4.2 ) Pub Date : 2019-09-10 , DOI: 10.1007/s12083-019-00808-1
Jun Woo Kim , Soo Kyun Kim

Production scheduling is an important research topic widely studied during past few decades. However, many manufacturers still fail to successfully deploy scheduling algorithms and systems, even though information and communication technologies can be used to collect and process data associated with production scheduling under modern smart manufacturing environment. The primary problem is that many scheduling algorithms and systems did not consider diverse variety of scheduling requirements of real production systems. Especially, production schedulers in small make-to-order manufacturers have much trouble in utilizing such algorithms and systems. In order to address this issue, this paper aims to propose a functional architecture of production scheduling system for small make-to-order manufactures under smart manufacturing environment and develop a flexible scheduling algorithm for this system. For illustration, the proposed system and algorithm are applied to a two-machine flow shop scheduling problem, and it is expected that this paper will provide a meaningful insight into the user experiences of production scheduling systems.

中文翻译:

智能制造环境下面向小订单制造商的交互式作业排序系统

生产调度是过去几十年来广泛研究的重要研究课题。但是,即使可以在现代智能制造环境下使用信息和通信技术来收集和处理与生产计划相关的数据,许多制造商仍无法成功部署计划算法和系统。主要问题是许多调度算法和系统都没有考虑实际生产系统的各种调度需求。尤其是,按订单生产的小型制造商中的生产调度程序在使用此类算法和系统时遇到很多麻烦。为了解决这个问题,本文旨在为智能制造环境下的小型按订单制造商提出一种生产调度系统的功能架构,并为该系统开发一种灵活的调度算法。为了说明起见,将所提出的系统和算法应用于两机流水车间调度问题,期望本文将对生产调度系统的用户体验提供有意义的见解。
更新日期:2019-09-10
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