An empirical study of bio manufacturing for the scheduling of hepatitis in vitro diagnostic device with constrained process time window

Hung Kai Wang, Chen Fu Chien, Che Wei Chou

研究成果: Article同行評審

5 引文 斯高帕斯(Scopus)

摘要

This study developed a multi-subpopulation hybrid genetic algorithm (HGA) for solving the hepatitis in vitro diagnostic device manufacturing scheduling problem (HIVDSP) through the examination of practical constraints in real situations. A specific characteristic of biotechnology manufacturing is the constrained process time window that defines the minimal and maximal times for specific processes; however, few studies have addressed the HIVDSP. This developed algorithm applied a fuzzy logic controller for solving the HIVDSP effectively and efficiently. An empirical study was conducted with realistic data to compare the performance of the proposed algorithm with existing dispatching rules under various demand scenarios. Furthermore, this study investigated the flexibility of the proposed approach for coping with future increases in product demand and manufacturing capacity expansion. The results indicate that the proposed approach can obtain a shorter makespan than other metaheuristics and dispatching approaches. The developed approach was implemented in the case company, yielding results that indicate its practical viability.

原文English
頁(從 - 到)31-44
頁數14
期刊Computers and Industrial Engineering
114
DOIs
出版狀態Published - 2017 十二月

All Science Journal Classification (ASJC) codes

  • 電腦科學(全部)
  • 工程 (全部)

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