Warehouse Manager Selection by CRITIC-MULTIMOORA Hybrid Method based on Single-Valued Neutrosophic Sets

Year 2023, , 48 - 64, 31.01.2023

Karahan Kara , Galip Cihan Yalçın , Sercan Edinsel

https://doi.org/10.52602/mtl.1220345

Abstract

Warehouses are junction points in the supply chain. To avoid disruptions in the supply chain flow, the materials stored in the warehouse must be safely protected and made available for the next transportation activity. Warehouse personnel are critical in ensuring full-time material flow. For the administrative dimension, warehouse managers are the leaders responsible for the successful execution of all warehouse input-output processes. Therefore, a successful warehouse manager is needed for successful warehouse operations. The aim of this research is to determine the warehouse manager selection criteria and to select the best warehouse manager among the candidate with using multi-criteria decision making (MCDM) methods as a hybrid. In the literature, it is seen that the manager selection problem is overseen with various MCDM methods. In this study, eight warehouse manager selection criteria were determined and their weights were calculated by the criteria importance through inter-criteria correlation based on single-valued neutrosophic set method (SVNS-CRITIC) method. Four alternatives were ranked with the multi-objective optimization by ratio analysis based on single-valued neutrosophic sets (SVNS-MULTIMOORA) method. The manager selection was made for the general warehouse owned by a company operating in Turkey. A team consisting of two experts and a proficient manager was established to evaluate the candidates. As a result of the application, the most important warehouse manager selection criterion is determined as the skills of managers to manage warehouse input-output and storage activities. In addition, the best manager candidate was determined for the general warehouse. According to the results of the research, suggestions were developed for warehouse manager candidates and researchers. With this research, it has been brought to the literature that warehouse manager selection criteria and SVNS-CRITIC-MULTIMOORA hybrid method can be used in manager selection problems.

Keywords

Warehouse Manager Selection, Single-Valued Neutrosophic Sets, CRITIC, MULTIMOORA

References

• Acar, E., & Enücük, G. K. (2022). Using The Analytic Hierarchy Process For Store Manager Selection: A Real Case Study. Ekonometri ve Istatistik Dergisi, (36), 1-14. https://doi.org/10.26650/ekoist.2022.36.1069868
• Adalı, E., & Tuş Işık, A. (2017). The multi-objective decision making methods based on MULTIMOORA and MOOSRA for the laptop selection problem. Journal of Industrial Engineering International, 13(2), 229-237. https://doi.org/10.1007/s40092-016-0175-5
• Ali, J. (2021). A novel score function based CRITIC-MARCOS method with spherical fuzzy information. Computational and Applied Mathematics, 40(8), 1-27. https://doi.org/10.1007/s40314-021-01670-9
• Alkan, Ö., & Albayrak, Ö. K. (2020). Ranking of renewable energy sources for regions in Turkey by fuzzy entropy based fuzzy COPRAS and fuzzy MULTIMOORA. Renewable Energy, 162, 712-726. https://doi.org/10.1016/j.renene.2020.08.062
• Altuntas, G., & Yildirim, B. F. (2022). Logistics specialist selection with intuitionistic fuzzy TOPSIS method. International Journal of Logistics Systems and Management, 42(1), 1-34. https://doi.org/10.1504/IJLSM.2022.123513
• Aydın, S. (2018). Augmented reality goggles selection by using neutrosophic MULTIMOORA method. Journal of Enterprise Information Management, 31(4), 565-576. https://doi.org/10.1108/JEIM-01-2018-0023
• Aydin, N., & Seker, S. (2020). WASPAS based MULTIMOORA method under IVIF environment for the selection of hub location. Journal of Enterprise Information Management, 33(5), 1233-1256. https://doi.org/10.1108/JEIM-09-2019-0277
• Baharin, N. H., Rashidi, N. F., & Mahad, N. F. (2021). Manager selection using Fuzzy TOPSIS method. In Journal of Physics: Conference Series (Vol. 1988, No. 1). IOP Publishing. https://doi.org/10.1088/1742-6596/1988/1/012057 Baidya, J., Garg, H., Saha, A., Mishra, A. R., Rani, P., & Dutta, D. (2021). Selection of third party reverses logistic providers: An approach of BCF-CRITIC-MULTIMOORA using Archimedean power aggregation operators. Complex & Intelligent Systems, 7(5), 2503-2530. https://doi.org/10.1007/s40747-021-00413-x
• Baležentis, A., Baležentis, T., & Brauers, W. K. (2012). Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Systems with applications, 39(9), 7961-7967. https://doi.org/10.1016/j.eswa.2012.01.100
• Chaghooshi, A., Arab, A., & Dehshiri, S. (2016). A fuzzy hybrid approach for project manager selection. Decision Science Letters, 5(3), 447-460. https://doi.org/10.5267/j.dsl.2016.1.001
• Chen, P. S., Huang, C. Y., Yu, C. C., & Hung, C. C. (2017). The examination of key performance indicators of warehouse operation systems based on detailed case studies. Journal of Information and Optimization Sciences, 38(2), 367-389. https://doi.org/10.1080/02522667.2016.1224465
• Chen, S. X., Wang, J. Q., & Wang, T. L. (2019). Cloud-based ERP system selection based on extended probabilistic linguistic MULTIMOORA method and Choquet integral operator. Computational and Applied Mathematics, 38(2), 1-32. https://doi.org/10.1007/s40314-019-0839-z
• Çelikbilek, Y. (2018). Using an integrated grey AHP-MOORA approach for personnel selection: An application on manager selection in the health industry. Alphanumeric Journal, 6(1), 69-82. http://dx.doi.org/10.17093/alphanumeric.378904
• Datta, S., Sahu, N., & Mahapatra, S. (2013). Robot selection based on grey-MULTIMOORA approach. Grey Systems: Theory and Application, 3(2), 201-232. https://doi.org/10.1108/GS-05-2013-0008
• Deliktas, D., & Ustun, O. (2017). Student selection and assignment methodology based on fuzzy MULTIMOORA and multichoice goal programming. International Transactions in Operational Research, 24(5), 1173-1195. https://doi.org/10.1111/itor.12185
• Dodangeh, J., Sorooshian, S., & Afshari, A. R. (2014). Linguistic Extension for Group Multicriteria Project Manager Selection. Journal of Applied Mathematics, 2014, 1-8. https://doi.org/10.1155/2014/570398
• Faber, N., De Koster, M. B. M., & Smidts, A. (2013). Organizing warehouse management. International Journal of Operations & Production Management, 33(9), 1230-1256. https://doi.org/10.1108/IJOPM-12-2011-0471
• Ghorabaee, M.K., Amiri, M., Kazimieras Zavadskas, E., & Antuchevičienė, J. (2017). Assessment of third-party logistics providers using a CRITIC–WASPAS approach with interval type-2 fuzzy sets. Transport, 32(1), 66-78. https://doi.org/10.3846/16484142.2017.1282381
• Haq, R. S. U., Saeed, M., Mateen, N., Siddiqui, F., Naqvi, M., Yi, J. B., & Ahmed, S. (2022). Sustainable material selection with crisp and ambiguous data using single-valued neutrosophic-MEREC-MARCOS framework. Applied Soft Computing, 128, 109546. https://doi.org/10.1016/j.asoc.2022.109546
• Işık, Ö. (2019). Türkiye'de hayat dışı sigorta sektörünün finansal performansının CRITIC tabanlı TOPSIS ve MULTIMOORA yöntemiyle değerlendirilmesi. Business & Management Studies: An International Journal, 7(1), 542-562. http://dx.doi.org/10.15295/bmij.v7i1.1090
• Kelemenis, A., Ergazakis, K., & Askounis, D. (2011). Support managers’ selection using an extension of fuzzy TOPSIS. Expert Systems with Applications, 38(3), 2774-2782. https://doi.org/10.1016/j.eswa.2010.08.068
• Keller, S. B., and B. C. Keller. (2014). The Definitive Guide to Warehousing: Managing the Storage and Handling of Materials and Products in the Supply Chain. Upper Saddle River, NJ: Pearson Education.
• Kusumawardani, R. P., & Agintiara, M. (2015). Application of fuzzy AHP-TOPSIS method for decision making in human resource manager selection process. Procedia computer science, 72, 638-646. https://doi.org/10.1016/j.procs.2015.12.173
• Kutlu Gündoğdu, F. (2020). A spherical fuzzy extension of MULTIMOORA method. Journal of Intelligent & Fuzzy Systems, 38(1), 963-978. https://doi.org/10.3233/JIFS-179462
• Lai, H., & Liao, H. (2021). A multi-criteria decision making method based on DNMA and CRITIC with linguistic D numbers for blockchain platform evaluation. Engineering Applications of Artificial Intelligence, 101, 104200. https://doi.org/10.1016/j.engappai.2021.104200
• LeMay, S., Mcmahon, D., Periatt, J. & Carr, J. (2018). Understanding the Role of Warehouse Managers Understanding the Role of Warehouse Managers. Graziadio Business Review, 24(2). https://gbr.pepperdine.edu/2010/08/managing-the-critical-role-of-the-warehouse-supervisor/ Li, S., & Wang, B. (2020). Research on Evaluating Algorithms for the Service Quality of Wireless Sensor Networks Based on Interval-Valued Intuitionistic Fuzzy EDAS and CRITIC Methods. Mathematical Problems in Engineering, 2020, 1-12. https://doi.org/10.1155/2020/5391940
• Lin, M., Huang, C., & Xu, Z. (2020). MULTIMOORA based MCDM model for site selection of car sharing station under picture fuzzy environment. Sustainable cities and society, 53, 101873. https://doi.org/10.1016/j.scs.2019.101873
• Liu, H. C., Zhao, H., You, X. Y., & Zhou, W. Y. (2018). Robot evaluation and selection using the hesitant fuzzy linguistic MULTIMOORA method. Journal of Testing and Evaluation, 47(2), 1405-1426. https://doi.org/10.1520/JTE20170094
• Liu, P., Saha, A., Mishra, A. R., Rani, P., Dutta, D., & Baidya, J. (2022). A BCF–CRITIC–WASPAS method for green supplier selection with cross-entropy and Archimedean aggregation operators. Journal of Ambient Intelligence and Humanized Computing, 1-25. https://doi.org/10.1007/s12652-022-03745-9
• Mi, X., Liao, H., Liao, Y., Lin, Q., Lev, B., & Al-Barakati, A. (2020). Green suppler selection by an integrated method with stochastic acceptability analysis and MULTIMOORA. Technological and Economic Development of Economy, 26(3), 549-572. https://doi.org/10.3846/tede.2020.11964
• Mishra, A. R., Rani, P., & Bharti, S. (2021). Assessment of agriculture crop selection using Pythagorean fuzzy CRITIC–VIKOR decision-making framework. In Pythagorean fuzzy sets (pp. 167-191). Springer, Singapore. https://doi.org/10.1007/978-981-16-1989-2_7
• Mishra, A. R., Rani, P., & Pandey, K. (2022). Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function. Journal of ambient intelligence and humanized computing, 13(1), 295-311. https://doi.org/10.1007/s12652-021-02902-w
• Mohamadghasemi, A., Hadi‐Vencheh, A., & Hosseinzadeh Lotfi, F. (2020). The multiobjective stochastic CRITIC–TOPSIS approach for solving the shipboard crane selection problem. International Journal of Intelligent Systems, 35(10), 1570-1598. https://doi.org/10.1002/int.22265
• Mohammadi, F., Sadi, M. K., Nateghi, F., Abdullah, A., & Skitmore, M. (2014). A hybrid quality function deployment and cybernetic analytic network process model for project manager selection. Journal of Civil Engineering and Management, 20(6), 795-809. https://doi.org/10.3846/13923730.2014.945952
• Peng, H. G., Wang, X. K., & Wang, J. Q. (2022). New MULTIMOORA and pairwise evaluation-based MCDM methods for hotel selection based on the projection measure of Z-numbers. International Journal of Fuzzy Systems, 24(1), 371-390. https://doi.org/10.1007/s40815-021-01141-7
• Peng, X., & Garg, H. (2022). Intuitionistic fuzzy soft decision making method based on CoCoSo and CRITIC for CCN cache placement strategy selection. Artificial Intelligence Review, 55(2), 1567-1604. https://doi.org/10.1007/s10462-021-09995-x
• Peng, X., Zhang, X., & Luo, Z. (2020). Pythagorean fuzzy MCDM method based on CoCoSo and CRITIC with score function for 5G industry evaluation. Artificial Intelligence Review, 53(5), 3813-3847. https://doi.org/10.1007/s10462-019-09780-x
• Rani, P., & Mishra, A. R. (2021). Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection. Expert Systems with Applications, 182, 115267. https://doi.org/10.1016/j.eswa.2021.115267
• Rani, P., Mishra, A. R., Krishankumar, R., Ravichandran, K. S., & Kar, S. (2021). Multi-criteria food waste treatment method selection using single-valued neutrosophic-CRITIC-MULTIMOORA framework. Applied Soft Computing, 111, 107657. https://doi.org/10.1016/j.asoc.2021.107657
• Sadeghi, H., Mousakhani, M., Yazdani, M., & Delavari, M. (2014). Evaluating project managers by an interval decision-making method based on a new project manager competency model. Arabian Journal for Science and Engineering, 39(2), 1417-1430. https://doi.org/10.1007/s13369-013-0631-0
• Sharma, K. K., & Kumar, A. (2018). Facilitating quality project manager selection for Indian business environment using analytical hierarchy process. International Journal of Quality & Reliability Management, 35(6), 1177-1194 https://doi.org/10.1108/IJQRM-10-2016-0175
• Shashidharan, M. (2021). Importance of an Efficient Warehouse Management System. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(5), 1185-1188.s https://doi.org/10.17762/turcomat.v12i5.1784
• Simic, V., Gokasar, I., Deveci, M., & Karakurt, A. (2022). An integrated CRITIC and MABAC based type-2 neutrosophic model for public transportation pricing system selection. Socio-Economic Planning Sciences, 80, 101157. https://doi.org/10.1016/j.seps.2021.101157
• Tabak, Ç., Yıldız, K., & Yerlikaya, M. (2019). Logistic location selection with Critic-Ahp and Vikor integrated approach. Data Science and Applications, 2(1).
• Tian, C., Peng, J. J., Long, Q. Q., Wang, J. Q., & Goh, M. (2022). Extended Picture Fuzzy MULTIMOORA Method Based on Prospect Theory for Medical Institution Selection. Cognitive Computation, 1-18. https://doi.org/10.1007/s12559-022-10006-6
• Trivedi, P., Vansjalia, R., Erra, S., Narayanan, S., & Nagaraju, D. (2022). A Fuzzy CRITIC and Fuzzy WASPAS-Based Integrated Approach for Wire Arc Additive Manufacturing (WAAM) Technique Selection. Arabian Journal for Science and Engineering, 1-20. https://doi.org/10.1007/s13369-022-07127-3
• Tuş, A., & Aytaç Adalı, E. (2019). The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem. Opsearch, 56(2), 528-538. https://doi.org/10.1007/s12597-019-00371-6
• Wang, H., Smarandache, F., Zhang, Y., & Sunderraman, R. (2010). Single valued neutrosophic sets. Infinite study.
• Wang, S., Wei, G., Lu, J., Wu, J., Wei, C., & Chen, X. (2022). GRP and CRITIC method for probabilistic uncertain linguistic MAGDM and its application to site selection of hospital constructions. Soft Computing, 26(1), 237-251. https://doi.org/10.1007/s00500-021-06429-2
• Wu, X., Liao, H., Xu, Z., Hafezalkotob, A., & Herrera, F. (2018). Probabilistic linguistic MULTIMOORA: A multicriteria decision making method based on the probabilistic linguistic expectation function and the improved Borda rule. IEEE transactions on Fuzzy Systems, 26(6), 3688-3702. https://doi.org/10.1109/TFUZZ.2018.2843330
• Ye, J. (2014). Clustering methods using distance-based similarity measures of single-valued neutrosophic sets. Journal of Intelligent Systems, 23(4), 379-389. https://doi.org/10.1515/jisys-2013-0091
• Zavadskas, E. K., Bausys, R., Juodagalviene, B., & Garnyte-Sapranaviciene, I. (2017). Model for residential house element and material selection by neutrosophic MULTIMOORA method. Engineering Applications of Artificial Intelligence, 64, 315-324. https://doi.org/10.1016/j.engappai.2017.06.020
• Zavadskas, E. K., Turskis, Z., Tamosaitiene, J., & Marina, V. (2008). Selection of construction project managers by applying COPRAS-G method. Computer Modelling and New Technologies, 12(3), 22-28.
• Zolfani, S. H., Rezaeiniya, N., Aghdaie, M. H., & Zavadskas, E. K. (2012). Quality control manager selection based on AHP-COPRAS-G methods: a case in Iran. Economic research-Ekonomska istraživanja, 25(1), 72-86. https://doi.org/10.1080/1331677X.2012.11517495