Optimizing Lot Size of Flexible Job Shop Problems by Considering Expiration Aspect
Yenny Suzana1, Herman Mawengkang2, Marwan Ramli3, Opim Salim Sitompul4
1Yenny Suzana, Graduate, School of Mathematics, University of Sumatra Utara, Medan, Indonesia.
2Herman Mawengkang, Department of Mathematics, University of Sumatra Utara, Indonesia
3Marwan Ramli, Department of Mathematics, University of Syiah Kuala, Banda Aceh, Indonesia.
4Opim Salim Sitompul, Faculty of Computer Science and Information Technology, University of Sumatra Utara, Indonesia.
Manuscript received on 09 May 2019 | Revised Manuscript received on 19 May 2019 | Manuscript Published on 23 May 2019 | PP: 1456-1462 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F12580476S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Production planning for manufacturing companies is an aspect to meet production needs for production process. The production need of fish canning companies is uncertainty aspect and this includes in the flexible job shop system, the issues of uncertainty. The process of fulfilling the needs with consideration of expiration in the fish canning company is to optimize lot size with an assumption that customer demand can be met on time without reducing consumer trust. Mathematical formulations used to meet the needs of the FJSS problem use lot-sizing techniques in making decisions. Stochastic programs can be used to obtain the desired formulation. Solution for ordering quantities and the number of quantities ordered plus expiration considerations are formulated with mixed integer linear programing.
Keywords: Production Planning, Fish Canning Industry, Stochastic Programing, Mixed Integer Program, Sizing Lot, Expired.
Scope of the Article: Problem Solving and Planning