Article
EVALUATION AND SELECTION OF KPI IN PROCUREMENT AND DISTRIBUTION LOGISTICS USING SWARA-QFD APPROACH
DOI: 10.7708/ijtte.2021.11(2).07
11 / 2 / 267-279 Pages
Author(s)
Vukašin Pajić - University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11000 Belgrade, Serbia -
Abstract
Efficient procurement is one of the key parameters of a company’s competitiveness. Besides procurement, distribution plays a significant role in competitiveness as well since the quality of this process directly affects customers. For these reasons, it is necessary for logistics companies to monitor and measure the performance of their procurement and distribution. One of the tools they can use on this occasion is the KPIs. In this paper, 15 KPIs of procurement logistics and 12 KPIs of distribution logistics were analyzed in order to determine the 5 most important ones for each process. In the assessment of the significance of the KPI, 10 experts in the field of logistics participated. The results of their assessment were then used in the SWARA method to obtain the weights of each of the KPIs. After determining the weights, the QFD method was applied to determine the priorities of the observed and analyzed KPIs. The results of the application of these methods showed that order to delivery time, cost per shipment, average delivery time, revenue per order and percentage of on-time deliveries stand out as the five most important KPIs in procurement logistics. On the other hand, total distribution cost, on-time shipping ratio, flexibility of distribution, timeliness of goods delivery and profitability by item stand out as the five most important KPIs in distribution logistics.
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Acknowledgements:
This paper was supported by the Ministry of Education, Science and Technological development of the Republic of Serbia, through the project TR 36006.
References:
Acumatica. 2018. Key Performance Indicators for Distribution. Available from Internet: https://www.pcbennett.com/wp-content/uploads/2019/10/Acumatica-Whitepaper-KPIs-for-Distribution.pdf.
Alimardani, M.; Hashemkhani Zolfani, S.; Aghdaie, M.H.; Tamošaitiene, J. 2013. A novel hybrid SWARA and VIKOR methodology for supplier selection in an agile environment, Technological and Economic Development of Economy 19: 533-548.
Andrejić, M.; Kilibarda, M. 2015. Distribution channels selection using PCA-DEA approach, International Journal for Traffic and Transport Engineering (IJTTE) 5(1): 74-81.
Andrejić, M.; Kilibarda, M. 2016. A framework for measuring and improving efficiency in distribution channels, International Journal for Traffic and Transport Engineering (IJTTE) 6(2): 137-148.
Bag, S.; Wood, L.C.; Mangla, S.K.; Luthra, S. 2020. Procurement 4.0 and its implications on business process performance in a circular economy, Resources, Conservation & Recycling 152: 1-14.
Bottani, E.; Centobelli, P.; Murino, T.; Shekarian, E. 2018. A QFD-ANP Method for Supplier Selection with Benefits, Opportunities, Costs and Risks Considerations, International Journal of Information Technology & Decision Making 17(3): 911-939.
Bressolles, G.; Lang, G. 2019. KPIs for performance measurement of e-fulfillment systems in multi-channel retailing, International Journal of Retail & Distribution Management 48(1): 35-52.
Chan, F.T.S.; Qi, H.J. 2003. Feasibility of performance measurement system for supply chain: a process-based approach and measures, Integrated Manufacturing Systems 14(3): 179-190.
Krauth, E.; Moonen, H.; Popova, V.; Schut, M. 2005. Performance Indicators in logistics service provision and warehouse management – a literature review and framework. Available from Internet: https://www.cs.vu.nl/~schut/pubs/Krauth/2005a.pdf.
Mardani, A.; Nilashi, M.; Zakuan, N.; Loganathan, N.; Soheilirad, S.; Zameri Mat Saman, M.; Ibrahim, O. 2017. A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments, Applied Soft Computing 57: 265-292.
Radović, D.; Stević, Ž. 2018. Evaluation and selection of KPI in transport using SWARA method, Transport & Logistics: the International Journal 18(44): 60-68.
Saad, S.; Kunhu, N.; Mohamed, A. 2016. A fuzzy-AHP multi-criteria decision making model for procurement process, International Journal of Logistics Systes and Management 23(1): 1-24.
Shukla, S.; Mishra, P.; Jain, R.; Yadav, H. 2016. An integrated decision making approach for ERP system selection using SWARA and PROMETHEE method, International Journal of Intelligent Enterprise 3: 120-147.
Soni, G.; Kodali, R. 2010. Internal benchmarking for assessment of supply chain performance, Benchmarking: An International Journal 17(1): 44-76.
Stanujkic, D.; Karabasevic, D.; Zavadskas, E.K. 2015. A framework for the Selection of a packaging design based on the SWARA method, Engineering Economics 26: 181-187.
USAID. 2013. Procurement Performance Indicators Guide: Using Procurement Performance Indicators to Strengthen the Procurement Process for Public Health Commodities. Report, Arlington.
Yazdani, M.; Hashemkhani Zolfani, S.; Zavadskas, E.K. 2016. New integration of MCDM methods and QFD in the selection of green suppliers, Journal of Business Economics and Management 17(6): 1097-1113.
Yu, K.; Cadeaux, J.; Song, H. 2012. Alternative forms of fit in distribution flexibility strategies, International Journal of Operations & Production Management 32(10): 1199 – 1227.
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