Comprehensive performance measurement and causal-effect decision making model for reverse logistics enterprise

Computers and Industrial Engineering

Volumn 68, Issue 1, 2014, Pages 87-103

  Shaik, Mohammed Najeeb ^a   Abdul Kader, Walid ^a  

^a UNIVERSITY OF WINDSOR   (Canada)

Author keywords

BSC; DEMATEL; Multi criteria decision making; Performance measurement; Performance prism; Reverse logistics

Indexed keywords

BSC; DEMATEL; MULTI-CRITERIA DECISION MAKING; PERFORMANCE MEASUREMENTS; REVERSE LOGISTICS;

INDUSTRY; PRISMS;

DECISION MAKING;

EID: 84892536844     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2013.12.008     Document Type: Article

References (69)

1. M. Alvarezgil, P. Berrone, F. Husillos, and N. Lado Reverse logistics, stakeholders' influence, organizational slack, and managers' posture Journal of Business Research 60 5 2007 463 473
2. J.J. Bacallan Greening the supply chain Business and Environment 5 2000 11 12
3. H.A. Bassioni, A.D.F. Price, and T.M. Hassan Performance measurement in construction firms Journal of Management in Engineering 20 2 2004 42 50
4. L. Berrah, and V. Cliville Towards an aggregation performance measurement system model in a supply chain context Production Planning & Control 58 2007 709 719
5. M. Bourne, M. Wilcox, A. Neely, and K. Platts Designing, implementing and updating performance measurement systems International Journal of Operations and Production Management 20 7 2000 754 771
6. F. Cairncross How Europe's companies reposition to recycle Harvard Business Review 70 1992 33 37
7. G. Capaldo, L. Iandoli, and G. Zollo The evaluation of innovation capabilities in small software firms: A methodological approach Small Businesses 21 2003 343 358
8. C. Caplice, and Y. Sheffi A review and evaluation of logistics performance measurement systems International Journal of Logistics Management 6 1 1995 61 74
9. Changli, F., & Lili, X. (2008). A study on the operating mode decision-making in reverse logistics of manufacturing enterprise. In Proceedings of 4th international conference on wireless communications. Networking and Mobile Computing, Dalian, China, 12-14 October, 1-6.
10. Cliville, V., Mauris, G., & Berrah, L. (2006). A quantified industrial performance measurement system based on a Choquet fuzzy integral. In IEEE international conference on fuzzy systems (pp. 1057-1064). Vancouver, Canada, 16-21 July.
11. Daga, A. 2004. Collaboration in reverse logistics. White paper, Wipro technologies (pp. 1-13).
12. De Brito, M. P., & Dekker, R. (2003). A framework for reverse logistics. ERIM report series research in management. Erasmus University Rotterdam, Netherlands.
13. A.A. De Waal Quest for balance: The human element in performance management systems 2002 J. Wiley New York
14. EFQM 1999. The fundamental concepts of excellence (Vol. 11). Belgium: EFQM Publications.
15. L. Fitzgerald, R. Johnston, T.J. Brignall, R. Silvestro, and C. Voss Performance measurement in service businesses 1991 Chartered Institute of Management Accountants London, UK
16. P. Garengo, S. Biazzo, and U.S. Bititci Performance measurement systems in SMEs: A review for a research agenda International Journal of Management Reviews 7 1 2005 25 47
17. S.E. Genchev, R.G. Richey, and C.B. Gabler Evaluating reverse logistics programs: A suggested process formalization International Journal of Logistics Management 22 2 2011 242 263
18. R. Giuntini, and T. Andel Master the six R's of reverse logistics - Part 2 Transportation and Distribution 36 3 1995 93 98
19. Grenchus, E., Johnson, S., & McDonell, D. (2001). Improving environmental performance through reverse logistics at IBM. In: Proceedings of the IEEE international symposium (pp. 236-240). Denver, USA, 7-9 May.
20. Huang, R. H., Yang, C. L., Wuang, M. S., & Tsui, C. S. (2010). Constructing a performance evaluation model for reverse logistics - Cases of recycled tire traders. In IEEE international conference on management of innovation and technology (ICMIT) (pp. 606-611). Singapore, 2-5 June.
21. Huang, Rong-Hwa, Lin, Chia-Chen, Cheng, Yu-Ju, Cheng, Hsiang-Yuan, Lee, Chia-Yu, Huang, Yu-Ju, et al. (2011). Performance evaluation model for reverse logistics the case of recycled computers. In Proceedings of the 2011 International conference on business and information in Bangkok, Thailand, July 4-6.
22. Rong-Hwa Huang, Chang-Lin Yang, Chia-Chen Lin, and Yu-Ju Cheng Performance evaluation model for reverse logistics - The case of recycled computers Journal of Statistics and Management Systems 15 2-3 2012 323 343
23. E.P. Jack, T.L. Powers, and L. Skinner Reverse logistics capabilities: Antecedents and cost savings International Journal of Physical and Distribution & Logistics Management 40 3 2010 228 246
24. Jianhua, Y., Lidong, Z., & Zhangang, H. (2009). Study on the performance evaluation system of reverse supply chain based on BSC and triangular fuzzy number AHP. In International conference on information engineering and computer science (pp. 1-4). Wuhan, China, 19-20 December.
25. Jun, W. (2009). A fuzzy evaluation model of the performance evaluation for the reverse logistics management. WRI world congress on computer science and information engineering (Vol. 1, pp. 724-727).
26. G.K. Kanji Performance measurement system Total Quality Management 13 5 2002 715 728
27. R.S. Kaplan, and D.P. Norton The balanced scorecard: Measures that drive performance Harvard Business Review 70 1 1992 71 99
28. R.S. Kaplan, and D.P. Norton The balanced scorecard: Translating strategy into action 1996 Harvard Business School Press Boston, MA
29. D.P. Keegan, R.G. Eiler, and C.R. Jones Are your performance measures obsolete? Management Accounting 70 12 1989 45 50
30. Kennerley, M., & Neely, A. D. (2000). Performance measurement framework - A review. In Performance measurement - Past, present and future. Proceedings of the 2nd international conference on performance measurement. Cambridge, UK, 19-21 July.
31. Kongar, E. (2004). Performance measurement for supply chain management and evaluation criteria determination for reverse supply chain management. In Proceedings of SPIE (Vol. 5583, pp. 106-117). Bellingham, USA, 25 October.
32. A. Krasnikov, and S. Jayachandran The relative impact of marketing, research-and-development, and operations capabilities on firm performance Journal of Marketing 72 2008 1 11
33. S. Lambert, D. Riopel, and W. Abdul-Kader A reverse logistics decisions conceptual framework Computers & Industrial Engineering 61 3 2011 561 581
34. A.H.I. Lee, W.C. Chen, and C.J. Chang A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan Expert Systems with Applications 34 2008 96 107
35. L.C. Leung, K.C. Lam, and D. Cao Implementing the balanced scorecard using the analytic hierarchy process and the analytic network process Journal of the Operational Research Society 57 2006 682 691
36. C.J. Lin, and W.W. Wu A causal analytical method for group decision-making under fuzzy environment Expert Systems with Applications 34 1 2008 205 213
37. C.L. Lin, and G.H. Tzeng A value created system of science (technology) park by using DEMATEL Expert Systems with Applications 36 2009 9683 9697
38. Liu, C., & Qu, C. (2009). Improving performance evaluation model for business organizations based on social responsibility contribution, Enterprise grows in sustaining efficiency and effectiveness. In Proceedings of the international SME development forum. Beijing, China, October.
39. E.J. Marien Reverse logistics as competitive strategy Supply Chain Management Review 34 2 1998 43 52
40. L. Meade, and J. Sarkis A conceptual model for selecting and evaluating third party reverse logistics providers Supply chain Management - An International Journal 7 5 2002 283 295
41. M. Moullin Defining performance measurement Perspectives on Performance 2 1/2 2003 3
42. A. Neely Business performance measurement 2002 Cambridge University Press Cambridge, MA
43. A. Neely, C. Adams, and P. Crowe The performance prism in practice Measuring Business Excellence 5 2 2001 6 12
44. C.D. Norek Throwing it into reverse DC Velocity 1 1 2003 54 58
45. Oztayşi, B., & Ucal, I. (2009). Comparing MADM techniques for use in performance measurement. In Proceedings of the international symposium on the analytic hierarchy process, Pittsburgh, USA, July 29-August 1.
46. C. Parker Performance measurement Work Study 49 2 2000 63 66
47. B. Pollock Reverse logistics: Driving improved returns directly to the bottom line 2010 Aberdeen Group Ashland, MA
48. C. Prahinski, and C. Kocabasoglu Empirical research opportunities in reverse supply chains Omega 34 6 2006 519 532
49. K. Pun, and A. White A performance measurement paradigm for integrating strategy formulation: A review of systems and frameworks International Journal of Management Reviews 7 1 2005 49 71
50. V. Ravi, and R. Shankar Analysis of interactions among the barriers of reverse logistics Technological Forecasting and Social Change 72 8 2005 1011 1029
51. V. Ravi, R. Shankar, and M.K. Tiwari Analyzing alternatives in reverse logistics for end of life computers: ANP and balanced scorecard approach Computers and Industrial Engineering 48 2005 327 356
52. Rogers, D. S., & Tibben-Lembke, R. S. (1998). Going backwards: Reverse logistics trends and practices. Reverse Logistics Executive Council, Center for Logistics Management, Pittsburgh, USA.
53. M.N. Shaik, and W. Abdul-Kader Performance measurement of reverse logistics enterprise: A comprehensive and integrated approach Measuring Business Excellence 16 2 2012 23 34
54. F. Shyh-Rong, H. Chiung-Yao, and S.W. Huang Corporate social responsibility strategies, dynamic capability and organizational performance: Cases of top Taiwan-selected benchmark enterprises African Journal of Business Management 4 1 2010 120 132
55. R. Simons Performance measurement and control systems for implementing strategy 2000 Prentice Hall Upper Saddle River, New Jersey
56. T. Skjott-Larsen, P. Schary, J.H Mikkola, and H. Kotzab Managing the global supply chain 2007 Copenhagen Business School Press Copenhagen
57. Song, C., & Hong, Z. (2008). Time scorecard: an integrative performance measurement framework for time-based companies. In 4th International conference on wireless communications, networking and mobile computing (pp. 1-5). Dalian, China, 12-14, October.
58. M. Striteska, and M. Spickova Review and comparison of performance measurement systems Journal of Organizational Management Studies 2012 2012
59. Thrikutam, P., & Kumar, S. (2004). Turning returns management into a competitive advantage in hi-tech manufacturing. Infosys Viewpoint.
60. R.S. Tibben-Lembke Life after death: Reverse logistics and the product life cycle International Journal of Physical Distribution and Logistics Management 32 3 2002 223 244
61. C. Voss, P. Ahlstrom, and K. Blackmon Benchmarking and operational performance: Some empirical results International Journal of Operations & Production Management 17 10 1997 1 12
62. Wagner, C. (2002). What's wrong with the balanced scorecard? Considerations for the design of an improved enterprise performance management system. In Proceedings of eighth Americas conference on information systems in Dallas (pp. 1002-1010). Texas, USA, August 9-11.
63. Wang, J. (2009). A fuzzy evaluation model of the performance evaluation for the reverse logistics management. In Proceedings of world congress on computer science and information engineering (pp. 724-727). Los Angeles, California, USA, March 31-April 2.
64. B. Wang, and L. Sun A review of reverse logistics Applied Sciences 7 2005 16 29
65. Wu, D. (2009). Measuring performance in small and medium enterprises in the information & communication technology industry. Ph.D. thesis, School of Management, Rmit University, Melbourne, Australia.
66. Xiangru, M. (2008). Study of evaluation and selection on third party reverse logistics providers. In International seminar on business and information management (Vol. 1, pp. 518-521). Wuhan, China, December 19.
67. G. Xiong, and X. Li Empirical studies on the fuzzy comprehensive evaluation to the performance of reverse logistics system Based on the fuzzy AHP model ICLEM Logistics for Sustained Economic Development 2010 3447 3453
68. Yellepeddi, S. S., Rajagopalan, S., & Liles, D. H. (2005). A balanced scorecard approach for an effective reverse supply chain in electronics industry. In Proceedings of the annual conference of international journal of industrial engineering. Clearwater, Florida, USA, December 4-7.
69. Yellepeddi, S. S., Rajagopalan, S., & Liles, D. H. (2006). An analytical network process for the development of reverse supply chain performance index in electronics industry. In Proceedings of the 17th annual conference of production and operations management society. Boston, Massachusetts, USA, April 28-May 1.