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Storage Location Assignment with Fuzzy PROMETHEE Method in Warehouse Systems with Uncertain Demand

Mehmet Akif Yerlikaya1, *

Corresponding Author:

Mehmet Akif Yerlikaya

Affiliation(s):

1. Bitlis Eren University, Faculty of Engineering and Architecture Industrial Engineering Department, Bitlis, TURKEY
*Corresponding Author Email: [email protected]

Abstract:

Storage location assignment is an important decision problem in warehouse operations management. Because the main purpose of the storage location assignment system is to create various parameters to facilitate the diagnosis and positioning of the products in the warehouse. In addition, time spent on storage activities is an important factor in the demand cycle. However, uncertainty in product demands causes various problems in assigning products to storage locations. Therefore, it is necessary to research viable and sustainable tools in cases of uncertainty. One of these tools is fuzzy decision making methods, which are frequently used in the literature and give effective results. In this study, it is proposed to rank the products with the Fuzzy PROMETHEE (F-PROMETHEE) method under qualitative criteria for warehouse systems where the demand is uncertain and assign them to the most suitable storage locations according to this rank. The effectiveness of the proposed approach has been tested with a small sample problem. Criteria addressed for this problem are demand, profitability and sensitivity. Solution results have shown that the proposed approach is effective.

Keywords:

Warehouse, Order Picking, Storage location assignment, Fuzzy PROMETHEE, PROMETHEE

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Cite This Paper:

Mehmet Akif Yerlikaya (2020). Storage Location Assignment with Fuzzy PROMETHEE Method in Warehouse Systems with Uncertain Demand. Journal of the Institute of Electronics and Computer, 2, 142-150. https://doi.org/10.33969/JIEC.2020.21009.

References:

[1] Fontana, M.E., Cavalcante, C.A.V. (2013). “Electre tri methodused to storage location assignment into categories”. Pesquisa Operacional, 33(2), 283–303.
[2] Fontana, M., Calvante, C. (2014). “Using the Efficient Frontier to Obtain the Best Solution for the Storage Location Assignment Problem”. Mathematical Problems in Engineering, DOI: 10.1155/2014/745196.
[3] Silva, D.D., Vasconcelos, N.N., Cavalcante, C.A. (2015). “Multicriteria Decision Model to Support the Assignment of Storage Location of Products in a Warehouse”. Mathematical Problems in Engineering, DOI:10.1155/2015/481950.
[4] Fontana, M., Nepomuceno, V. (2017). “Multi-criteria approach for products classification and their storage location assignment”. International Journal of Advanced Manufacturing Technology, 88(9-12), 3205-3216.
[5] Micale, R., La Fata, C.M., La Scalia, G. (2019). “A Combined interval-valued ELECTRE TRI and TOPSIS approach for solving the Storage Location Assignment Problem”. Computers & Industrial Engineering, 135, 199-210.
[6] Muppani, V.R., Adil, G.K. (2008:1). “A branch and bound algorithm for class based storage location assignment”. European Journal of Operational Research, 189(2), 492-507.
[7] Turner, S., 2009. “Joint Multi-item Storage Location Assignment Capacitated Lot Sizing Problem”. Electronic Theses and Dissertations, University of Windsor, Canada.
[8] Le Téno, J., F., ve Mareschal, B. (1998). “An interval version of PROMETHEE for the comparison of building products’ design with ill-defined data on environmental quality”, Eur Journal of Operational Research, 109, 522–529.
[9] Efe, B., Yerlikaya, M.A., Efe, Ö.F. (2016). “İş Güvenliğinde Bulanık Promethee Yöntemiyle Hata Türleri ve Etkilerinin Analizi: Bir İnşaat Firmasında Uygulama”. Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 6(2), 126-137.
[10] Goumas, M., Lygerou, V. (2000). “An extension of the PROMETHEE method for decision making in fuzzy environment: Ranking of alternative energy exploitation projects”, European Journal of Operational Research, 123(3), 606-613.