A framework to evaluate and improve supply chain: FAHP based case study on a supermarket

Document Type: Research Paper

Authors

Department of Industrial and Production Engineering, Faculty of Engineering and Technology, Jessore University of Science and Technology, Jessore, Bangladesh.

Abstract

Nowadays, the supply chain has become a buzzword in the business field. The only supply chain can help to lead a business in an organized way. However, in a supermarket, the supply chain is very important, but they need to ensure better communication with the supplier, customer, and internal management too. Each factor of the supply chain has a good effect on itself. The purpose of this research is to explore the important supermarket supply chain factors found in the literature and from supply chain experts and to develop a framework which can help to arrange the criteria in a sequence from most important to the worst by considering each sector of the supply chain. This paper has studied one of the supermarkets in Bangladesh, namely Save ‘n’ Safe. Authors have taken FAHP, one of the tools of MCDM, to figure it out the most effective factors. The result reveals that managing inventory, internal information sharing, and accurate demand forecasting are the most affected factors for the Save ‘n’ Safe (a supermarket). Finally, some recommendations have been given to improve the existing situation. This study can be used not only in the other supermarkets but also any other retail or grocery shops.

[1]     Ellickson, P. B. (2016). 15 the evolution of the supermarket industry: from a&P to Walmart1. Handbook on the economics of retailing and distribution, 368.

[2]     Farid, Md. S., Alam, M. J., Rahman, d. M., Barua, S., & Sarker, B. (2018). Direct and associated factors influencing the growth in supermarket activity in Bangladesh. Asian research journal of arts & social sciences, 5(1), 1-12

[3]     Mentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). Defining supply chain management. Journal of business logistics22(2), 1-25.

[4]     Guo, Y. X., & Yang, Y. B. (2008). Research on comprehensive assessment model of service quality in rural supermarkets based on FAHP. Journal of shijiazhuang railway institute (social science)4.

[5]     Lambert, D. M., & Cooper, M. C. (2000). Issues in supply chain management. Industrial marketing management29(1), 65-83.

[6]     Mehmeti, G., Musabelliu, B., & Xhoxhi, O. (2016). The Review of factors that influence the supply chain performance. academic journal of interdisciplinary studies5(2), 181.

[7]     Nandi, R., Gowdru, N. V., & Bokelmann, W. (2017). Factors influencing smallholder farmers in supplying organic fruits and vegetables to supermarket supply chains in Karnataka, India: A Transaction Cost Approach. International journal of rural management13(1), 85-107.

[8]     Abunar, S. M., Ali, M., Fazelrabbi, M., & Ismail, H. (2016). A study of state of food retail supply chain in Saudi Arabia: A conceptual framework. Engineering management research5(2), 1.

[9]     Abunar, S. M., & Zerban, A. M. (2016). Enhancing accounting information systems to facilitate supply chain management between supermarkets/suppliers: The case of Saudi Arabia. Journal of accounting & marketing5(2), 1-7.

[10]  Gunasekaran, A., Subramanian, N., & Rahman, S. (2017). Improving supply chain performance through management capabilities. Production planning & control, 28(6-8),473–477.

[11]  Gupta, V., & Abidi, N. (2017). Exploring factors affecting supply chain of it products: A retailer’s perspective. Procedia computer science122, 969-976.

[12]  Thomas L., Saaty. (1980). The analytic hierarchy process: planning, priority setting, resource allocation. McGraw-Hill International Book Company.

[13]  Van Laarhoven, P. J., & Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy sets and systems11(1-3), 229-241.

[14]  Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy sets and systems17(3), 233-247.

[15]  Meng, T. A FAHP-based comprehensive evaluation on rural supermarket service quality: a case study of Jiangsu province. Computer modelling & new technologies,18(4), 1014-1019.

[16]  Gopalan, R., Sreekumar., & Satpathy, B. (2015). Evaluation of retail service quality–a fuzzy AHP approach. Benchmarking: An international journal22(6), 1058-1080.

[17]  Naude, M. J., & Badenhorst-Weiss, J. A. (2011). The effect of problems on supply chain wide efficiency. Journal of transport and supply chain management5(1), 278-298.

[18]  Cancro, J., & Mc Ginnis, M. (2004). Evaluating the financial condition of suppliers. In 89th annual international supply management conference.

[19]  Gunasekaran, A., Patel, C., & McGaughey, R. E. (2004). A framework for supply chain performance measurement. International journal of production economics87(3), 333-347.

[20]  Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of marketing74(2), 133-148.

[21]  Bhandari, R. (2014). Impact of technology on logistics and supply chain management. IOSR journal of business and management.

[22]  Mentzer, J. T., Myers, M. B., & Stank, T. P. (2006). Handbook of global supply chain management. Sage Publications.

[23]  Koçoğlu, İ., İmamoğlu, S. Z., İnce, H., & Keskin, H. (2011). The effect of supply chain integration on information sharing: Enhancing the supply chain performance. Procedia-social and behavioral sciences24, 1630-1649.

[24]  Kanji, G. K., & Wong, A. (1999). Business excellence model for supply chain management. Total quality management10(8), 1147-1168.

[25]  Awasthi, A., & Grzybowska, K. (2014). Barriers of the supply chain integration process. Logistics operations, supply chain management and sustainability (pp. 15-30). Springer, Cham.

[26]  Rouibah, K., Hamdy, H. I., & Al-Enezi, M. Z. (2009). Effect of management support, training, and user involvement on system usage and satisfaction in Kuwait. Industrial management & data systems109(3), 338-356.

[27]  Meehan, J., & Muir, L. (2008). SCM in Merseyside SMEs: benefits and barriers. The TQM journal20(3), 223-232.

[28]  Manzouri, M., Rahman, M. N. A., Arshad, H., & Ismail, A. R. (2010). Barriers of supply chain management implementation in manufacturing companies: a comparison between Iranian and Malaysian companies. Journal of the Chinese institute of industrial engineers27(6), 456-472.

[29]  Mahmood, W. H. W., Muhamad, M. R., & Tahar, N. M. (2009). Supply chain management: After business process re-engineering. World academy of science, engineering and technology, international journal of social, behavioral, educational, economic, business and industrial engineering3(5), 411-416.

[30]  Al-Shboul, M. D. A. R., Barber, K. D., Garza-Reyes, J. A., Kumar, V., & Abdi, M. R. (2017). The effect of supply chain management practices on supply chain and manufacturing firms’ performance. Journal of manufacturing technology management28(5), 577-609.

[31]  Ou, C. S., Liu, F. C., Hung, Y. C., & Yen, D. C. (2010). A structural model of supply chain management on firm performance. International journal of operations & production management30(5), 526-545.

[32]  Li, S., Rao, S. S., Ragu-Nathan, T. S., & Ragu-Nathan, B. (2005). Development and validation of a measurement instrument for studying supply chain management practices. Journal of operations management23(6), 618-641.

[33]  Kamble, P. N., & Parveen, N. (2018). An application of integrated fuzzy ahp and fuzzy topsis method for staff selection. Journal of computer and mathematical sciences9(9), 1161-1169.