A mobile application for knowledge-enriched short-term scheduling of complex products View Full Text


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Article Info

DATE

2016-12

AUTHORS

D. Mourtzis, M. Doukas, E. Vlachou

ABSTRACT

The ever-increasing product complexity, especially for the case of engineer-to-order products, highly affects the performance of manufacturing systems. Therefore, a high degree of flexibility is needed during daily decision-making activities, such as production scheduling. For addressing this challenge, this research work proposes a knowledge-enriched short-term job-shop scheduling mechanism, which is implemented into a mobile application. More precisely, it focuses on the short-term scheduling of the resources of the machine shop, through an intelligent algorithm that generates and evaluates alternative assignments of resources to tasks. Based on the requirements of a new order, a similarity mechanism retrieves successfully executed past orders together with a dataset that includes the processing times, the job and task sequence, and the suitable resources. In addition to that, the similarity mechanism is used to calculate the due-date assignments of the orders based on the knowledge stored in past cases. Afterwards, it adapts these parameters to the requirements of the new order so as to evaluate the alternative schedules and identify a good alternative in a timely manner. The deriving schedule can be presented on mobile devices, and it can be manipulated by the planner on-the-fly respecting tasks precedence constraints and machine availability. A case study from the mould-making industry is used for validating the proposed method and application. More... »

PAGES

3

References to SciGraph publications

  • 2009-08. A survey of dynamic scheduling in manufacturing systems in JOURNAL OF SCHEDULING
  • 2005-12. Discovering Dispatching Rules Using Data Mining in JOURNAL OF SCHEDULING
  • 1992-03. An introduction to case-based reasoning in ARTIFICIAL INTELLIGENCE REVIEW
  • 2009-06. An efficient search method for multi-objective flexible job shop scheduling problems in JOURNAL OF INTELLIGENT MANUFACTURING
  • 2011. A Genetic Algorithm for the Flexible Job-Shop Scheduling Problem in ADVANCED RESEARCH ON COMPUTER SCIENCE AND INFORMATION ENGINEERING
  • 2001-06. Dynamic scheduling of manufacturing job shops using genetic algorithms in JOURNAL OF INTELLIGENT MANUFACTURING
  • 2012-06. Condition based maintenance planning of highly productive machine tools in PRODUCTION ENGINEERING
  • 2005-06. Using Data Mining for Due Date Assignment in a Dynamic Job Shop Environment in THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • 2012-08. Scheduling with due date assignment under special conditions on job processing in JOURNAL OF SCHEDULING
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    http://scigraph.springernature.com/pub.10.1007/s12159-015-0130-7

    DOI

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