Developing a two dimensional framework to review the Supply Chain Performance Measurement literature

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-43 Number-2
Year of Publication : 2017
Authors : M. Manikandan, S. Chidambaranathan
DOI :  10.14445/22315381/IJETT-V43P215

Citation 

M. Manikandan, S. Chidambaranathan "Developing a two dimensional framework to review the Supply Chain Performance Measurement literature", International Journal of Engineering Trends and Technology (IJETT), V43(1),86-96 January 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Nowadays the supply chain management creates the value for companies, customers and stake holders interacting throughout a supply chain, the researchers recognize the need for measuring and monitoring the performance. Performance measurements play an important role in setting objectives, evaluating performance, and determining future courses of actions. Performance measurements pertaining to supply chain management have not received adequate attention from researchers and practitioners. In this paper a two dimensional framework has been developed for classifying the supply chain performance measurement (SCPM) literature which covers articles from the major journals related with SCPM literature and detailed investigation on methodologies, approaches, models were analyzed and gaps have been identified for future research.

 References

[1] Charan, P, Shankar, R. and Baisya, R.K (2008), “Analysis of interactions among the variables of supply chain performance measurement system implementation”, Business Process Management Journal, vol. 144(4), 512-529.
[2] A. Gunasekaran and C.Patel (2001), “Performance measures and metrics in a supply chain environment”, International Journal of Operations & Production Management, vol. 21 (1/2), 71 – 87.
[3] Beamon (1999), “Designing the green supply chain”, Logistics Information Management, vol. 12(4), 332–342.
[4] La and Londe, B. J (1997), “Supply chain management: Myth or reality?”, Supply Chain Management Review, vol. 1, 6–7.
[5] Ross, David Frederick (1998), “Competing Through Supply Chain Management”, New York, NY: Chapman & Hall.
[6] Dasgupta (2003), “Using the six-sigma metric to measure and improve the performance of a supply chain”, Total Quality Management & Business Excellence, vol. 14(3), 355-366.
[7] Lin and li (2010), “An integrated framework for supply chain performance measurement using six sigma metrics”, Software Quality journal, vol. 18, 387-406.
[8] A. Gunasekaran (2004), “A framework for Supply Chain Performance Measurement”, International journal of Production Economics, vol. 87, 333–347.
[9] A. Otto and H. Kotzab (2003), “Does supply chain management really pay? Six perspectives to measure the performance of managing a supply chain”, European Journal of Operational Research, vol. 14(4), 306–320.
[10] Lapide L (2000), “True measures of supply chain performance”, supply chain management review, vol. 4(3), 25-27.
[11] Ramaa A., Rangaswamy T and Subramanya K (2009), “A review of literature on performance measurement of supply chain network”, Second International Conference on Emerging Trends in Engineering and Technology, ICETET-09, pp802-807.
[12] Kaplan and Norton (1992), “The balanced score card: measures that drive performance”, Harvard Business Review, vol. 70(1), 71–79.
[13] Tangen (2004), “Performance measurement from philosophy to practise”, International journal of productivity and performance management, vol. 53(8), 726–737.
[14] Bullinger, H-J kuhner and van hoof (2002), “Analyzing supply chain performance using a balanced measurement method”, international journal of a production research, vol. 40(1)5, 3533-3543.
[15] Chan, F.T.S. and Qi H.J (2003a), “An innovative performance measurement method for supply chain management”, Supply Chain Management: an International Journal, vol. 8(3/4), 209-223.
[16] Chan, F.T.S. and Qi, H.J (2003b), “Feasibility of performance mea¬surement system for supply chain: a process-based approach and measures”, Integrated Manufacturing System, vol. 14, 179–190.
[17] Hendricks, C. A., and Kelbaugh, R. L (1998), “Implementing Six Sigma at GE”, Journal for Quality & Participation, vol. 21(4), 48-53.
[18] Hoerl, R. W., Montgomery, D. C., Lawson, C., Molnau, and W. E., Elias, R (2001), “Six Sigma Black Belts: What do they need to know?”, Journal of Quality Technology, vol. 33(4), 391-435.
[19] Unahabhokha, C., Platts, K., & Tan, K. H (2007), “Predictive performance measurement system. A fuzzy expert system approach”, Benchmarking: an International Journal, vol. 14(1), 77-91.
[20] Drzymalski, J., Odrey, N.G. and Wilson, G.R (2010), “Aggregat¬ing performance measures of a multi-echelon supply chain using the analytical network and analytical hierarchy pro¬cess”, International Journal of Services, Economics and Management, vol.2(3/4), 286–306.
[21] Berrah, L. and Cliville´, V (2007), “Towards an aggregation per¬formance measurement system model in a supply chain con¬text”, Computers in Industry, vol. 58(7).
[22] Persson, F. and Olhager, J (2002), “Performance simulation of supply chain designs”, International Journal of Production Eco¬nomics, vol. 77(3), 231–245.
[23] Chen, Y.W. and Larbani, M (2005), “Simulating the performance of supply chain with various alliances”, International Journal of Advanced Manufacturing Tech-nology, vol. 25, 803-810.
[24] Theeranuphattana, A. and John C.S. Tang (2008), “A conceptual model of performance measurement for supply chains:Alternative consideration”, Journal of Manufacturing Technology Management, vol. 19(1), 125-148.
[25] Krishnapriya V and Rupashree Baral (2014), “Supply chain integration- A competency based perspective”, International Journal of Managing Value and Supply Chains, vol. 5(3), 45-60.
[26] Wong, W.P (2009), “Performance evaluation of supply chain in stochastic environment: using a simulation based DEA framework”, International journal of Business Performance and Supply Chain Modeling, vol.1(2/3), 203–228.
[27] Lai, K.H., Ngai, E.W.T. and Cheng, T.C.E (2002), “Measures for evaluating supply chain performance in transport logistics”, Transport Research Part E, vol. 38, 439-456.
[28] Cai,J., Liu, X., Xiao, Z., & Liu, J (2009), “Improving supply chain performance management: A systematic approach to analyz¬ing iterative KPI accomplishment”, Decision Support System, vol. 46, 512–521.
[29] Wong, W.P. and Wong, K.Y (2008), “A review on benchmarking of supply chain performance measures”, Benchmarking: An International Journal, vol. 15(1), 25–51.
[30] Bhagwat, R., Chan, F.T.S. and Sharma, M.K (2008), “Performance measurement model for supply chain management in SMEs”, International journal of Globalisation and Small Business, vol. 2(4), 428– 445.
[31] Bhagwat, R. and Sharma, M.K (2009), “An application of the in¬tegrated AHP-PGP model for performance measurement of supply chain management”, Production Planning & Control, vol. 20(8), 678–690.
[32] Thakkar (2009), “Supply chain performance measurement framework for small and medium scale enterprises”, Benchmarking: An International Journal, vol. 16(5), 702-723.
[33] Parkan, C. and Wang, J (2007), “Gauging the performance of a supply chain”, International Journal of Productivity and Quality Management, vol. 2(2), 141–176.
[34] John storey and caroline emberson (2006), “Supply chain management: theory, practice and future challenges”, International Journal of Operations & Production Management, vol. 26(7), 754 – 774.
[35] Askariazad, M. and Wanous, M (2009), “A proposed value model for prioritizing supply chain performance measures”, Internatioal journal of Business Performance and Supply Chain Modelling, vol. 1(2/3), 115–128.
[36] Bhagwat, R. and Sharma, M.K (2007b), “Performance measure¬ment of supply chain management using the analytical hierarchy process”, Production Planning and Control, vol. 18, 666–680.
[37] Danish Irfan, Xiaofei Xu, Shengchun Deng and Zengyou He (2008), “A SCOR reference model of the supply chain management system in an enterprice”, The International Arab Journal of Information Technology, vol. 5(3), 288-295.
[38] Yang, J (2009), “Integrative performance evaluation for supply chain system based on logarithm triangular fuzzy number- AHP method”, Kybernetes, vol. 38(10), 1760-1770.
[39] Barbara Bigliardi, Eleonora Bottani & Francesco Galati2 (2010), “Open innovation and supply chain management in food machinery supply chain: a case study”, International Journal of Engineering Science and Technology, vol. 2(6), 244-255.
[40] Felix T.S. Chan and Ashutosh Nayak (2014), “An innovative supply chain performance measurement system incorporating Research and Development (R&D) and marketing policy”, Computers and Industrial Engineering, vol. 69, 64-70.
[41] Dong Won Cho and Young Hae Lee (2012), “A framework for measuring the performance of service supply chain management”, Computers & Industrial Engineering, vol. 62, 801–818.
[42] Ilias P. Vlachos (2014), “A hierarchical model of the impact of RFID practices on retail supply chain performance”, Expert Systems with Applications, vol. 41, 5–15.
[43] Wang, ferrie Jie and ahmed abareshi (2014), “The Measurement Model of Supply Chain Uncertainty and Risk in the Australian Courier Industry”, Operations and Supply Chain Management, vol. 7(3), 89-96.
[44] Cuthberston R and piotrewicz W (2008), “Supply chain best practices: identification and categorization of measures and benefits”, International journal of productivity perform manage, vol. 57(5), 389-404.
[45] Gilberto and MillerDevo´s Ganga (2011), “A fuzzy logic approach to supply chain performance management”, International Journal of Production Economics, vol. 134, 177–187.
[46] Dominique Estampe and Samir Lamouri (2013), “A framework for analyzing supply chain performance evaluation models”, International Journal of Production Economics, vol.142, 247–258.
[47] Elisa Kusrini, Subagyo and Nur Aini Masruroh (2014), “Good Criteria for Supply Chain Performance Measurement”, International Journal Engineering Bussiness Management, vol. 6(9).
[48] Hamid Kazemkhanlou and Hamid Reza Ahadi (2014), “Study of Performance Measurement Practices in Supply Chain Management”, Proceedings of the 2014 International Conference on Industrial Engineering and Operations Management Bali, Indonesia, pp 7–9.
[49] C. Marinagi, P. Trivellas and P. Reklitis (2015), “Information Quality and Supply Chain Performance: The Mediating Role of Information Sharing”, Procedia - Social and Behavioral Sciences, vol.175, pp473 – 479.
[50] Varma, Subhash Wadhwa and S G Deshmukh (2008), “Evaluating petroleum supply chain performance: Application of analytical hierarchy process to balanced scorecard”, Asia Pacific Journal of Marketing and Logistics, vol. 20(3), 343-356.

Keywords
Supply chain performance measurement, models, approaches.