Warianty tytułu
Języki publikacji
Abstrakty
This research addresses an inventory classification problem in a company that manufactures plastic pallets. Classification of the inventory is difficult because it is subject to two restrictions: the number of changeovers and the size of inventory storage. A mathematical model is first proposed to maximize the fill rate by classifying all product items into four groups. Due to all items can be classified based on the monthly demand, in descending order. The present study then proposed a procedure to find the classification that is most efficient. According to the experimental results, the maximum fill rate in the current situation is 89.85%. The proposed methodology also tested different production batches and levels of demand. The proposed methodology was found to be appropriate for practical application.(original abstract)
Słowa kluczowe
Czasopismo
Rocznik
Tom
Numer
Strony
92--99
Opis fizyczny
Twórcy
autor
- Industrial Engineering and Management, Ming Chi University of Technology, Taiwa
autor
- Industrial Engineering and Management, Ming Chi University of Technology, Taiwa
Bibliografia
- Blackstone, J. H., Cox, J. F. (2008). APICS Dictionary. 12th ed. Alexandria, VA: American Production and Inventory Control Society.
- Douissa, M.R. & Jabeur, K. (2016a). A new model for multi-criteria ABC inventory classification: PROAFTN method. Procedia Computer Science, 96, 550-559.
- Douissa, M.R. & Jabeur, K. (2016b). A new multicriteria ABC inventory classification model based on a simplified Electre III method and the continuous variable neighborhood search. 6th International Conference on Information Systems, Logistics and Supply Chain, Bordeaux, France.
- Kao, I.W., Tsai, C.Y., & Wang, Y.C. (2011). A novel approach for inventory classification in two-stage supply chain system. The 7th International Conference on Computing and Information Technology, Bangkok, Thailand.
- Keshavarz Ghorabaee, M., Zavadskas, E.K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451.
- Ly, R., & Raweewan, M. (2017). Flexible ABC invenory classification, in The 3rd International Conference on Agro-Industry 2016 "Competitive & Sustainable Agro-Industry: Value Creation in Agribusiness", KnE Life Sciences, 228-236.
- Ly, R., & Raweewan, M. (2021). Optimizing inventory classification and service levels under budget and warehouse space control. International Journal of Knowledge and Systems Science, 12(3), 80-92.
- Malindzakova, M., Garaj, P., Trpcevska, J., & Mlindzak, D. (2022). Setting MRP parameters and optimizing the production planning process. Processes, 10, 690.
- Millstein, M.A., Yang, L., & Li, H. (2014). Optimizing ABC inventory grouping decisions. International Journal of Production Economics, 148, 71-80.
- Saracoglu, I. (2022). A scatter search algorithm for multicriteria inventory classification considering multiobjective optimization. Soft Computing, 26, 8785- 8806.
- Sheikh-Zadeh, A., Rossetti, M.D., & Scott, M.A. (2021). Performance-based inventory classification methods for large-Scale multi-echelon replenishment systems. Omega, 101, 102276.
- Torbi, S.A., Hatefi, S.M., & Saleck Pay, B. (2012). ABC inventory classification in the presence of both quantitative and qualitative criteria. Computers and Industrial Engineering, 63, 530-537.
- van Kampen, T.J., Akkerman, R., & Pieter van Donk, D. (2012). SKU classification: a literature review and conceptual framework. International Journal of Operations & Production Management, 32(7), 850-876.
- Yang, L, Li, H., Campbell, J.F., & Sweeney, D.C. (2017). Integrated multi-period dynamic inventory classification and control. International Journal of Production Economics, 189, 86-96.
- Zhang, Q., Zhao, Q., & Li, Y. (2018). Integrating replenishment policy with GSAA-FCM based multicriteria inventory classification. International Journal of Computational Intelligence Systems, 11, 248- 2
Typ dokumentu
Bibliografia
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Identyfikator YADDA
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