Jobshop scheduling for skill-dependent Make-to-order system

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In today's competitive environment many companies are shifting their production strategy from Make-to-Stock to Make-to-order (MTO) system. The reasons are to cater product as per the need of customer and to reduce inventory holding cost. In MTO system, production starts only when order arrives to the shop floor and gets confirmed. Production planning of such system includes scheduling of orders to the production periods and allocation of workers at different work centers. Complexity in such environment arises when the time to produce products is skilled dependent and from the shop floor condition. Under such situation, efficient scheduling of orders and allocation of workers at different work center play a major role to improve system performance. This research developed a mathematical model for workers allocation problem in a job shop production environment with an objective of minimizing makespan.

Original languageEnglish
Title of host publicationIEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479960651
DOIs
Publication statusPublished - Apr 23 2015
Event5th International Conference on Industrial Engineering and Operations Management, IEOM 2015 - Dubai, United Arab Emirates
Duration: Mar 3 2015Mar 5 2015

Other

Other5th International Conference on Industrial Engineering and Operations Management, IEOM 2015
CountryUnited Arab Emirates
CityDubai
Period3/3/153/5/15

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Keywords

  • Hierarchical workforce
  • Job Shop Scheduling
  • Make-to-Order
  • Makespan

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research

Cite this

Al-Hinai, N., & Piya, S. (2015). Jobshop scheduling for skill-dependent Make-to-order system. In IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding [7093814] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEOM.2015.7093814