Just-in-time planning and scheduling of machining operations on parts: an illustrative case study

  • Authors:
  • Mădălin Catană

  • Affiliations:
  • Department of Machine Manufacturing Technology, University POLITEHNICA of Bucharest, Bucureşti, Romania

  • Venue:
  • ECC'10 Proceedings of the 4th conference on European computing conference
  • Year:
  • 2010

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Abstract

This paper presents a manufacturing case study that advocates the use of just-in-time operations planning and scheduling strategy for make-to-order machining jobs of the parts. The study concerns two simple parts that are to be produced through machining operations according to certain specifications of material requirements plan (MRP). The attributes of manufacturing steps comprising the two machining jobs are considered available from a previously performed preplanning stage. Three different scenarios on the availability status of machine items on the shop floor are taken into account: 1) numerous machines are continuously available for production during the scheduling horizon; 2) few machines are continuously available for production during the scheduling horizon; 3) few machines are intermittently available for production during the scheduling horizon. Machines availability data for the three scenarios of the case study are alternatively obtained from the shop floor controller. An integrated computer-aided process planning (CAPP) and computer-aided scheduling (CAS) software is employed to develop a cost-effective operations plan and operations schedule for manufacturing the parts under each machines availability scenario. It is observed that planning and scheduling solutions optimized for scenarios with higher availability of machines are unfeasible for scenarios with lower availability of machines. However, these solutions are less costly than the solutions obtained for scenarios with lower availability of machines. The conclusion is that just-in-time planning and scheduling is a convenient way to increase the quality of operations plans and operations schedules for make-to-order manufacturing.