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FUZZY APPROACH TO SUPPLY CHAIN MANAGEMENT FOR E-COMMERCE STORE
Authors:
Djordje Dihovični1
, Siniša Škrbić2
1The Academy of Technical Applied Sciences, Bulevar Zorana Djindjica 152a, Belgrade, Republic of Serbia
2Faculty of Economics and Engineering Management in Novi Sad, University Business Academy in Novi Sad, Cvećarska 2, 21000 Novi Sad, Serbia
Received: 08.05.2020.
Accepted: 18.06.2020.
Available: 30.06.2020.
Abstract:
The model of e-commerce web store is developed and analyzed from supply chain management view of point. Main focus of this scientific paper is highlighted on fuzzy approach to crucial data about products, stored in the database of e-commerce web shop. For unit price of the product, and the probability of buying product of certain dimensions, it is calculated the fuzzy mean of the expected prize and the variance. The SWARA method is implemented and relative weight criteria is calculated in order to optimize supply chain management.
Keywords:
Fuzzy logic, web application, chain management, artificial intelligence
References:
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[2] H. Gunter, G. Grote, O. Thees, Information technology in supply networks. Does it lead to better collaborative planning?. Journal of Enterprise Information Management, 19 (5), 2006: 540-550. https://doi.org/10.1108/17410390610703666
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[4] E. Reusen, K. Stouthuysen, F. Roothoft, A. Van den Abbeele, H. Slabinnck, Imitation of Management Practices in Supply Networks: Relational and Environment Effects. Journal of Supply Chain Management, 56 (1), 2020: 54-72.
https://doi.org/10.1111/jscm.12216
[5] R. Dichiara, Relationships between Small and Big Enterprises in Suppliers Networks: The Case of Mass Production Industry. ICSB 48th World Conference, Belfase, Vol.1, 2003: 211- 216.
[6] A. Muysinaliyev, S. Aktamov, Supply chain management concepts: literature review, IOSR Jornal of Business and Management, 15 (6), 2014: 60-66.
[7] Dj. Dihovicni, A. Ašonja, N. Radivojević, D. Cvijanović, S, Skrbić, Stability issues and program support for time delay systems in state over finite time interval. Physica A: Statistical Mechanics and its Applications, 538, 2020: 122815.
https://doi.org/10.1016/j.physa.2019.122815
[8] A. Sharma, A. Goswami, D. Gupta, Fts-Sql: A query Language for Fuzzy Multidatabases. Proceedings of the World Congress on Engineering – (WCE 2009), Vol.1, 1-3 July, 2009, London U.K, pp.69-74.
[9] E. Desnica, A. Ašonja, D. Mikić, B. Stojanović, Reliability of model of bearing assembly on an agricultural of Cardan shaft. Journal of the Balkan Tribological Association, 21 (1), 2015: 38-48.
[10] A. Ašonja, E. Desnica, Reliability of Agriculture Universal Joint Shafts Based on Temperature Measuring in Universal Joint Bearing Assemblies. Spanish Journal of Agricultural Research, 13 (1), 2015: 1-8. http://dx.doi.org/10.5424/sjar/2015131-6371
[11] M. Miletić, I. Miletić, Lean methodology and its derivates usage for production systems in modern industry. Applied Engineering Letters, 2 (4), 2017: 144-148.
[12] J.M. Merigo, K.J. Engemann, Fuzzy Decision Making with Probabilities and Induced Aggregation Operators. Computational Intelligence in Business and Economics, 3, 2010: 323-332. https://doi.org/10.1142/9789814324441_0040
[13] A. Keropyan, A.M. Gil-Lafuente, (2010), Decision Making In Strategic Business Management. Computational Intelligence in Business and Economics, 3, 2010: 297-304. https://doi.org/10.1142/9789814324441_0037
[14] J. Bergams, S. Gutnikov, V. Krasnoproshin, S, Popok, H. Vissia, Computer-Base Support to Decision-Making in Orthopaedics. International Conference on Intelligent Technologies in Human related Sciences, Vol.2, 5-7 July, 1996, Leon, Spain, pp.205-213.
[15] D. Perez Armayor, J.A. Díaz Batista, Decision Support Model for Information Systems Integration in Supply Chains: a Fuzzy Approach. Computational Intelligence in Business and Economics, 3, 2010: 281-288.
https://doi.org/10.1142/9789814324441_0035
[16] Dj. Dihovicni, Contructing knowledge database in stability of pneumatic pipelines. Tehnička dijagnostika, 14 (1), 2015: 7-14.
[17] J.R. Stock, S.L. Boyer, T. Harmon-Kitzer, Research Opportunities in Supply Chain Management. Journal of the Academy of Marketing Science, 38, 2010: 32-41. https://doi.org/10.1007/s11747-009-0136-2
[18] S. Min, Z.G. Zacharia, C.D. Smith, Defining Supply Chain Management: In the Past, Present and Future. Journal of Business Logistics, 40 (1), 2019: 44-55. https://doi.org/10.1111/jbl.12201
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 10
Number 1
March 2025
Last Edition
Volume 10
Number 1
March 2025
How to Cite
D. Dihovični, S. Škrbić, Fuzzy Approach to Supply Chain Management for E-Commerce Store. Applied Engineering Letters, 5(2), 2020: 62–67. https://doi.org/10.18485/aeletters.2020.5.2.4
More Citation Formats
Dihovični, D., & Škrbić, S. (2020). Fuzzy Approach to Supply Chain Management for E-Commerce Store. Applied Engineering Letters, 5(2), 62–67. https://doi.org/10.18485/aeletters.2020.5.2.4
Dihovični, Djordje, and Siniša Škrbić. “Fuzzy Approach to Supply Chain Management for E-Commerce Store.” Applied Engineering Letters, vol. 5, no. 2, 2020, pp. 62–67, https://doi.org/10.18485/aeletters.2020.5.2.4.
Dihovični, Djordje, and Siniša Škrbić. 2020. “Fuzzy Approach to Supply Chain Management for E-Commerce Store.” Applied Engineering Letters 5 (2): 62–67. https://doi.org/10.18485/aeletters.2020.5.2.4.
Dihovični, D. and Škrbić, S. (2020). Fuzzy Approach to Supply Chain Management for E-Commerce Store. Applied Engineering Letters, 5(2), pp.62–67. doi:10.18485/aeletters.2020.5.2.4.
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FUZZY APPROACH TO SUPPLY CHAIN MANAGEMENT FOR E-COMMERCE STORE
Authors:
Djordje Dihovični1
, Siniša Škrbić2
1The Academy of Technical Applied Sciences, Bulevar Zorana Djindjica 152a, Belgrade, Republic of Serbia
2Faculty of Economics and Engineering Management in Novi Sad, University Business Academy in Novi Sad, Cvećarska 2, 21000 Novi Sad, Serbia
Received: 08.05.2020.
Accepted: 18.06.2020.
Available: 30.06.2020.
Abstract:
The model of e-commerce web store is developed and analyzed from supply chain management view of point. Main focus of this scientific paper is highlighted on fuzzy approach to crucial data about products, stored in the database of e-commerce web shop. For unit price of the product, and the probability of buying product of certain dimensions, it is calculated the fuzzy mean of the expected prize and the variance. The SWARA method is implemented and relative weight criteria is calculated in order to optimize supply chain management.
Keywords:
Fuzzy logic, web application, chain management, artificial intelligence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
Volume 10
Number 1
March 2025
Last Edition
Volume 10
Number 1
March 2025