An EOQ model for MRO customers under stochastic price to quantify bullwhip effect for the manufacturer

International Journal of Production Economics

Volumn 155, Issue , 2014, Pages 132-142

  Sodhi, Manmohan S ^a   Sodhi, Navdeep S ^b   Tang, Christopher S ^c  

^a CITY UNIVERSITY   (United Kingdom)

^b Sodhi Pricing   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Bullwhip effect; EOQ model; MRO sector; Multiple customer segments; Multiple products; Order variance; Stochastic price; Transactional pricing

Indexed keywords

COSTS; CUTTING TOOLS; ECONOMIC ANALYSIS; MANUFACTURE; REPAIR; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; SUPPLY CHAINS;

BULLWHIP EFFECTS; CUSTOMER SEGMENTS; EOQ MODELS; MRO SECTOR; MULTIPLE PRODUCTS; ORDER VARIANCE; STOCHASTIC PRICE; TRANSACTIONAL PRICING;

SALES;

EID: 84906214810     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2013.12.020     Document Type: Article

References (32)

1. M. Avriel Non-linear Programming Analysis and Methods 1976 Prentice Hall, Inc. Englewood Cliffs, New Jersey
2. S.R. Croom The impact of web-based procurement on the management of operating resources supply J. Supply Chain Manag. 36 1 2000 4 13
3. D. Erlenkotter Ford Whitman Harris and the economic order quantity model Oper. Res. 38 6 1990 937 946
4. Erlenkotter, D., 2013. Ford Whitman Harris's Economic Lot Size Model. Working Paper, UCLA Anderson School.
5. A. Federgruen Allocation policies and cost approximations for multi-location inventory systems Nav. Res. Logist. Q. 31 1 1984 97 129
6. W. Feller An Introduction to Probability Theory and Its Applications 3rd edition 1968 John Wiley and Sons New York
7. C.J. Gelderman, J. Semeijn, and I. Lek Analysis of e-marketplace attributes assessing the NATO Logistics Stock Exchange Int. J. Def. Acquis. Manag. 1 1 2008 1 21 ISSN 1940-3445
8. A. Gunasekaran, R.E. McGaughey, E.W.T. Ngai, and B.K. Rai E-Procurement adoption in the Southcoast SMEs Int. J. Prod. Econ. 122 1 2009 161 175
9. F.W. Harris How many parts to make at once Fact. Mag. Manag. 10 2 1913 135 136 and 152
10. J.W. Hamister, and N.C. Suresh The impact of pricing policy on sales variability in a supermarket retail context Int. J. Prod. Econ. 111 2 2008 441 455
11. T.H. Ho, C.S. Tang, and D.R. Bell Rational shopping behavior and the option value of variable pricing Manag. Sci. 44 12 1998 S145 S160
12. S. Kaplan, and M. Sawhney E-Hubs the new B2B marketplaces Harv. Bus. Rev. 78 3 2000 97 103
13. U.S. Karmarkar Equalization of runout times Oper. Res. 29 4 1981 757 762
14. Kaufman, L., Tritt, C., Korf, M., Laube, A., Matthies, H., Metz, P., 2007. Overhauling the Network: Lufthansa Technik's Decision for a Stronger Network Within its European Overhaul Operations. Case Study 307-322-1, WHU Otto Beisheim School of Management, Vallender, Germany.
15. M. Khan, M.Y. Jaber, A.L. Guiffrida, and S. Zolfaghari A review of the extensions of a modified EOQ model for imperfect quality items. Int. J. Prod. Econ. 132 1 2011 1 12
16. H.L. Kotler, V. Rackham, and S. Krishnaswamy Ending the war between sales and marketing Harv. Bus. Rev. 84 7 2006 3 13
17. H.L. Lee, V. Padmanabhan, and S. Whang Information distortion in a supply chain the bullwhip effect Manag. Sci. 50 12 1997 546 558
18. Lee, H.L., Blancas, L.C., 2006. Worldwide Technology and ClearOrbit: Enabling Supply Chain Collaboration. Case GS-53, Stanford Graduate School of Business, CA, USA.
19. M.V. Marn, and R.L. Rosiello Managing price, gaining profit Harv. Bus. Rev. 70 9 1992 84 93
20. M.V. Marn, E.V. Roegner, and C.C. Zawada The power of pricing McKinsey Q. 1 1 2003 27 39
21. Mukund, A., Radhika, A.N. 2003. Operational Restructuring at Harley Davidson, Case no. 603-02201, ICMR Center for Management Research, Hyderabad, India, available online at ecch.com.
22. S. Muylle, and E. Croon Venturing into e-commerce in the MRO market Case Folio 4 3 2004 57 68
23. S. Netessine, and C.S. Tang Consumer-driven Demand and Operations Management Models 2009 Springer Publisher New York
24. E. Ozelkan, and M. Cakanyildirim Reverse bullwhip effect in pricing Eur. J. Oper. Res. 192 1 2009 302 312
25. S. Ross Introduction to Probability Models 2nd edition 1980 Academic Press New York
26. R. Roundy Rounding off to powers of two in continuous relaxation of capacitated lot sizing problems Manag. Sci. 35 12 1989 1433 1442
27. S.S. Sana The stochastic EOQ model with random sales price Appl. Math. Comput. 218 2 2011 239 248
28. S.S. Sana Price sensitive demand with random sales price - a newsboy problem Int. J. Syst. Sci. 43 3 2012 491 498
29. Sawhney, M., 2004. Rockwell Automation: The Channel Challenge. Case study KEL163, Kellogg School of Management, Evanston, USA.
30. M.S. Sodhi, and N.S. Sodhi Six sigma pricing Harv. Bus. Rev. 83 5 2005 135 142
31. M.S. Sodhi, and C.S. Tang The incremental bullwhip effect of operational deviations in an arborescent supply chain with requirements planning Eur. J. Oper. Res. 215 2 2011 374 382
32. A.J. van Weele Purchasing and Supply Chain Management 5th edition 2010 Cengage Learning EMEA Hampshire, UK