Aligning supply chain collaboration using Analytic Hierarchy Process

Omega (United Kingdom)

Volumn 41, Issue 2, 2013, Pages 431-440

  Ramanathan, Usha ^a  

^a UNIVERSITY OF BEDFORDSHIRE   (United Kingdom)

Author keywords

Analytic Hierarchy Process and information exchange; Demand forecast; Multi criteria decision analysis; Supply chain collaboration

Indexed keywords

COST REDUCTION; ECONOMIC AND SOCIAL EFFECTS; FORECASTING; HIERARCHICAL SYSTEMS; INFORMATION DISSEMINATION; SUPPLY CHAINS;

ANALYTIC HIERARCHY PROCESS AND INFORMATION EXCHANGE; CASE-STUDIES; COSTS REDUCTION; DEMAND FORECAST; FORECAST ACCURACY; INFORMATION EXCHANGES; MULTI-CRITERIA DECISION ANALYSIS; PROCESS-MODELS; SUPPLY CHAIN COLLABORATION; TRADE OFF;

ANALYTIC HIERARCHY PROCESS;

EID: 84867027326     PISSN: 03050483     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.omega.2012.03.001     Document Type: Article

References (49)

1. Arshinder Kanda, Deshmukh, S.G.A. Supply chain coordination: perspectives, empirical studies and research directions. International Journal of Production Economics 2008, 115:316-335.
2. Aviv Y. On the benefits of collaborative forecasting partnerships between retailers and manufacturers. Management Science 2007, 53(5):777-794.
3. Barker Theresa J., Zabinsky Zelda B. A multicriteria decision making model for reverse logistics using analytical hierarchy process. Omega-The International Journal of Management Science 2011, 39(5):558-573.
4. Barratt M., Oliveira A. Exploring the experiences of collaborative planning initiatives. International Journal of Physical Distribution & Logistics Management 2001, 31(4):266-289.
5. Barut M., Faisst W., Kanet J.J. Measuring supply chain coupling: an information system perspective. European Journal of Purchasing and Supply Management 2002, 8:161-171.
6. Cachon G.P., Fisher M. Supply chain inventory management and the value of shared information. Management Science 2000, 46(8):1032-1048.
7. Cai J., Liu D., Xiao Z., Liu J. Improving supply chain performance management: a systematic approach to analyzing iterative KPI accomplishment. Decision Support Systems 2009, 46(2):412-421.
8. Cao M., Zhang Q. Supply chain collaboration: impact on collaborative advantage and firm performance. Journal of Operations Management 2011, 29(3):163-180.
9. Chan H.K., Chan F.T.S. A review of coordination studies in the context of supply chain dynamics. International Journal of Production Research 2010, 48(10):2793-2819.
10. Chang T., Fu H., Lee W., Lin Y., Hsueh H. A study of an augmented CPFR model for the 3c retail industry. Supply Chain Management: An International Journal 2007, 12(3):200-209.
11. Cheng E.W.L., Li H. Information priority setting for better resource allocation using analytic hierarchy process (AHP). Information Management & Computer Security 2001, 9(2):61-70.
12. Chung S.H., Lau H.C.W., Chan F.T.S. A central coordination system for managing a large supply base through supply chain collaboration. International Journal of Services, Technology and Management 2010, 14(1):92-102.
13. Danese P. Designing CPFR collaborations: insights from seven case studies. International Journal of Operations and Production Management 2007, 27(2):181-204.
14. ECR Europe European CPFR insights 2002, ECR European facilitated by Accenture, Brussels.
15. Felix T., Chan S., Kumar N., Tiwari M.K., Lau H.C.W., Choy K.L. Global supplier selection: a fuzzy-AHP approach. International Journal of Production Research 2008, 46(14):3825-3857.
16. Fisher M.L. Making supply meet demand in an uncertain world. Harvard Business Review 1994, (May-June).
17. Fliedner G. CPFR: an emerging supply chain tool. Industrial Management+Data Systems 2003, 103(1/2):14-21.
18. Forslund H., Jonsson P. The impact of forecast information quality on supply chain performance. International Journal of Operations & Production Management 2007, 27:90.
19. Gavirneni S., Kapuscinski R., Tayur S. Value of information in capacitated supply chains. Management Science 1999, 45(1):16-24.
20. Gunasekaran A., Patel C., Tirtiroglu E. Performance measures and metrics in a supply chain environment. International Journal of Operations and Production Management 2001, 21(1/2):71-87.
21. Hughes W.R. A statistical framework for strategic decision making with AHP: probability assessment and Bayesian revision. Omega 2009, 37(2):463-470.
22. Ireland R.K., Crum C. Supply chain collaboration: how to implement CPFR and other best collaborative practices 2005, J. Ross Publishing, Inc., Florida.
23. Ketzenberg M.E., Rosenzweig E.D., Marucheck A.E., Metters R.D. A framework for the value of information in inventory replenishment. European Journal of Operational Research 2006, 182:1230-1250.
24. Kim D. Process chain: a new paradigm of collaborative commerce and synchronized supply chain. Business Horizons 2006, 49:359-367.
25. Kulp S.C., Lee H.L., Ofek E. Manufacturer benefits from information integration with retail customers. Management Science 2004, 50(4):431-444.
26. Kurtulus M, Toktay B. Investing in forecast collaboration. Working paper, INSEAD. Fontainebleau, France; 2004.
27. Lee H.L., So.K.C., Tang.C.S. The value of information sharing in a two-level supply chain. Management Science 2000, 46(5):626-643.
28. Lee H.L. Aligning supply chain strategies with product uncertainties. California Management Review 2002, 44(3):105-119.
29. Li G., Yan H., Wang S., Xia Y. Comparative analysis on value of information sharing in supply chains. Supply Chain Management: An International Journal 2005, 10(1):34-46.
30. Melón M.G., Beltran P.A., Cruz M.C.G. An AHP-based evaluation procedure for Innovative Educational Projects: a face-to-face vs. computer-mediated case study Original Research Article. Omega-The International Journal of Management Science 2008, 36(5):754-765.
31. Moinzadeh K. A multi-echelon inventory system with information exchange. Management Science 2002, 48(3):414-426.
32. Noran O. A decision support framework for collaborative networks. International Journal of Production Research 2009, 47(17):4813-4832.
33. Ovalle O.R., Marquez A.C. The effectiveness of using e-collaboration tools in the supply chain: an assessment study with system dynamics. Journal of Purchasing and Supply Management 2003, 9:151-163.
34. Raghunathan S. Information sharing in a supply chain: a note on its value when demand is non stationary. Management Science 2001, 47(4):605-610.
35. Ramanathan U., Gunasekaran A., Subramanian N. Supply chain collaboration performance metrics: a conceptual framework. Benchmarking: An International Journal 2011, 18(6):856-872.
36. Ramanathan R., Ramanathan U. A qualitative perspective to deriving weights from pairwise comparison matrices. Omega-The International Journal of Management Science 2010, 38(3-4):228-232.
37. Ramanathan U., Muyldermans L. Identifying the underlying structure of demand during promotions: a structural equation modelling approach. Expert Systems with Applications 2011, 38:5544-5552.
38. Ryu S.-J., Tsukishima T., Onari H. A study on evaluation of demand information sharing methods in supply chain. International Journal of Production Economics 2009, 120:162-175.
39. Saaty T.L. The analytic hierarchy process 1980, McGraw-Hill, New York.
40. Sari K. On the benefits of CPFR and VMI: a comparative simulation study. International Journal of Production Economics 2008, 113:575-586.
41. Schoenherr T., Tummala V.M.R., Harrison T.P. Assessing supply chain risks with the analytic hierarchy process: providing decision support for the offshoring decision by a US manufacturing company. Journal of Purchasing & Supply Management 2008, 14:100-111.
42. Småros J. Forecasting collaboration in the European grocery sector: observations from a case study. Journal of Operations Management 2007, 25:702-716.
43. Tam M.C.Y., Tummala V.M.R. An application of the AHP in vendor selection of a telecommunications system. Omega-The International Journal of Management Science 2001, 29(2):171-182.
44. Vadde S., Zeid A., Kamarthi S.V. Pricing decisions in a multi-criteria setting for product recovery facilities. Omega-The International Journal of Management Science 2011, 39(2):186-193.
45. Voss C., Tsikriktsis N., Frohlich M. Case research: case research in operations management. International Journal of Operations and Production Management 2002, 22(2):195-219.
46. Wang Ge., Huang S.H., Dismukesa J.P. Product-driven supply chain selection using integrated multi-criteria decision-ma king methodology. International Journal of Production Economics 2004, 91:1-15.
47. Yin R.K. Case study research design and methods applied social research methods series 1994, vol. 5. Sage Publications, London. 2nd edition.
48. Yu Z., Yan H., Cheng T.C.E. Benefits of information sharing with supply chain partners. Industrial Management+Data Systems 2001, 101(3/4):114-119.
49. Zahedi F. The analytic hierarchy process-a survey of the method and its applications. Interfaces 1986, 16(4):96-108.