Reconciling sales and operations management with distant suppliers in the automotive industry: A simulation approach

International Journal of Production Economics

Volumn 151, Issue , 2014, Pages 20-36

  Laurent Lim, Lâm ^a,b   Alpan, Gülgün ^b   Penz, Bernard ^b  

^a RENAULT   (France)

^b LABORATOIRE G SCOP   (France)

Author keywords

Automotive industry; Customer impatience; Flexibility; Long procurement; Sales and operations planning; Simulation; Uncertain demand

Indexed keywords

AUTOMOBILE MANUFACTURE; AUTOMOTIVE INDUSTRY; COMPUTER SIMULATION; ECONOMIC AND SOCIAL EFFECTS; MANUFACTURE; SALES; SUPPLY CHAINS;

CUSTOMER IMPATIENCE; FLEXIBILITY; LONG PROCUREMENT; SALES AND OPERATIONS PLANNING; SIMULATION; UNCERTAIN DEMAND;

SALES; AUTOMOTIVE INDUSTRY;

EID: 84896325086     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2014.01.011     Document Type: Article

References (66)

1. D. Alford, P. Sackett, and G. Nelder Mass customisation - an automotive perspective Int. J. Prod. Econ. 65 1 2000 99 110
2. I.M. Ambe, and J.A. Badenhorst-Weiss Strategic supply chain framework for the automotive industry Afr. J. Bus. Manag. 4 10 2010 2110 2120
3. Amrani-Zouggar, A.; Deschamps, J.C.; Bourrières, J.P.; 2009. Supply chain planning under various quantity commitment contracts. In: Information Control Problems in Manufacturing, vol. 13. pp. 558-563.
4. Amrani-Zouggar, A.; Deschamps, J.C.; Bourrières, J.P.; 2010. Supply chain reactivity assessment regarding two negotiated commitments: frozen horizon and flexibility rate. In: Advances in Production Management Systems. New Challenges, New Approaches. Springer, Berlin, pp. 179-186.
5. Aoki, K.; Staeblein, T.; Tomino, T.; 2013. Monozukuri capability to address product variety: a comparison between Japanese and German automotive makers. Int. J. Prod. Econ. 〈 http://dx.doi.org/10.1016/j. ijpe.2013.02.026
6. Y. Bassok, and R. Anupindi Analysis of supply contracts with commitments and flexibility Naval Res. Logist. 55 5 2008 459 477
7. E.S. Bernardes, and M.D. Hanna A theoretical review of flexibility agility and responsiveness in the operations management literature Int. J. Oper. Prod. Manag. 29 1 2009 30 53
8. R. Bhatnagar, P. Mehta, and C.C. Teo Coordination of planning and scheduling decisions in global supply chains with dual supply modes Int. J. Prod. Econ. 131 2 2011 473 482
9. P.G. Brabazon, and B.L. MacCarthy Virtual-build-to-order as a mass customization order fulfilment model Concurr. Eng.: Res. Appl. 12 2 2004 155 165
10. P.G. Brabazon, B.L. MacCarthy, and R.W. Hawkins Simulation of Ford's passenger vehicle order fulfilment process J. Simul. 1 2 2007 109 119
11. P.G. Brabazon, B.L. MacCarthy, A. Woodcock, and R.W. Hawkins Mass customization in the automotive industry: comparing interdealer trading and reconfiguration flexibilities in order fulfillment Prod. Oper. Manag. 19 5 2010 489 502
12. P. Childerhouse, S.M. Disney, and D.R. Towill On the impact of order volatility in the European automotive sector Int. J. Prod. Econ. 114 1 2008 2 13
13. M. Christopher, and M. Holweg Supply chain 2.0: managing supply chains in the era of turbulence Int. J. Phys. Distrib. Logist. Manag. 41 1 2011 63 82
14. G. da Silveira, D. Borenstein, and F.S. Fogliatto Mass customization: literature review and research directions Int. J. Prod. Econ. 72 1 2001 1 13
15. T. de Kok, F. Janssen, J.V. Doremalen, E.V. Wachem, M. Clerkx, and W. Peeters Philips electronics synchronizes its supply chain to end the Bullwhip effect Interfaces 35 1 2005 37 48
16. Elias, S.; 2002. New car buyer behaviour. 3DayCar Research Report, Cardiff Business School.
17. D.A. Elkins, N. Huang, and J.M. Alden Agile manufacturing systems in the automotive industry Int. J. Prod. Econ. 91 3 2004 201 214
18. M.C. Fu Optimization for simulation: theory vs. practice J. Comput. 14 3 2002 192 215
19. Fu, M.C.; Andradottir, S.; Carson, J.S.; Glover, F.; Harrell, C.R.; Ho, Y.C.; Kelly, J.P.; Robinson, S.M.; 2000. Integrating optimization and simulation: research and practice. In: Proceedings of the 32nd Conference on Winter Simulation, December 10-13. Orlando, USA, pp. 610-616.
20. A. Ghadge, S. Dani, and R. Kalawsky Supply chain risk management: present and future scope Int. J. Logist. Manag. 23 3 2012 313 339
21. S.C. Graves Uncertainty and production planning K. Kempf, P. Keskinocak, P. Uzsoy, Planning Production and Inventories in the Extended Enterprise A State of the Art Handbook 2011 Springer Berlin 83 101
22. J.A. Grimson, and D.F. Pyke Sales and operations planning an exploratory study and framework Int. J. Logist. Manag. 18 3 2007 322 346
23. C.K. Hahn, E.A. Duplaga, and J.L. Hartley Supply-chain synchronization: lessons from Hyundai motor company Interfaces 30 4 2000 32 45
24. M. Holweg, S. Disney, P. Hines, and M. Naim Towards responsive vehicle supply: a simulation-based investigation into automotive scheduling systems J. Oper. Manag. 23 5 2005 507 530
25. M. Holweg, and F. Pil The Second Century: Reconnecting Customer and Value Chain Through Build-to-Order Moving Beyond Mass and Lean in the Auto Industry 2004 MIT Press Cambridge, MA.
26. M. Howard, P. Powell, and R. Vidgen Automotive industry information systems: from a mass production to build-to-order J. Cases Inf. Technol. 7 2 2005 16 30
27. J. Humphrey Globalization and supply chain networks: the auto industry in Brazil and India Global Netw. 3 2 2003 1470 2266
28. A. Jain, H. Groenevelt, and N. Rudi Continuous review inventory model with dynamic choice of two freight modes with fixed costs Manuf. Serv. Oper. Manag. 12 1 2010 120 139
29. O. Lavastre, A. Gunasekaran, and A. Spalanzani Supply chain risk management in french companies Decis. Support Syst. 52 4 2012 828 838
30. D. Levy International sourcing and supply chain stability J. Int. Bus. Stud. 26 1995 343 360
31. D. Levy Lean production in an international supply chain Sloan Manag. Rev. 38 1997 94 102
32. B. MacCarthy, P.G. Brabazon, and J. Bramham Fundamental modes of operation for mass customization Int. J. Prod. Econ. 85 3 2003 289 308
33. U. Merschmann, and U.W. Thonemann Supply chain flexibility, uncertainty and firm performance: an empirical analysis of german manufacturing firms Int. J. Prod. Econ. 130 1 2011 43 53
34. H. Meyr Supply chain planning in the German automotive industry OR Spectr. 26 4 2004 447 470
35. J. Miemczyk, and M. Holweg Building cars to customer order - what does it mean for inbound logistics operations? J. Bus. Logist. 25 2 2004 171 197
36. S. Minner Multiple-supplier inventory models in supply chain management: a review Int. J. Prod. Econ. 81-82 2003 265 279
37. J. Mula, R. Poler, J.P. Garcia-Sabater, and F.C. Lario Models for production planning under uncertainty: a review Int. J. Prod. Econ. 103 1 2006 271 285
38. J. Olhager Evolution of operations planning and control: from production to supply chains Int. J. Prod. Res. 2013 1 8 〈 http://dx.doi.org/10.1080/00207543.2012.761363 âŒ
39. J. Olhager, M. Rudberg, and J. Wikner Long-term capacity management: linking the perspectives from manufacturing strategy and sales and operations planning Int. J. Prod. Econ. 69 2 2001 215 225
40. F.K. Pil, and M. Holweg Linking product variety to order-fulfillment strategies Interfaces 34 5 2004 394 403
41. E. Prater, M. Biehl, and M. Smith International supply chain agility, tradeoffs between flexibility and uncertainty Int. J. Oper. Prod. Manag. 21 5/6 2001 823 839
42. K. Ramdas Managing product variety: an integrative review and research directions Prod. Oper. Manag. 12 1 2003 79 101
43. A. Reichhart, and M. Holweg Creating the customer-responsive supply chain: a reconciliation of concepts Int. J. Oper. Prod. Manag. 27 11 2007 1144 1172
44. D. Rexhausen, R. Pibernik, and G. Kaiser Customer-facing supply chain practices - the impact of demand and distribution management on supply chain success J. Oper. Manag. 30 4 2012 269 281
45. A.M. Sanchez, and M. Perez Supply chain flexibility and firm performance: a conceptual model and empirical study in the automotive industry Int. J. Oper. Prod. Manag. 25 7 2005 681 700
46. L.F. Scavarda, A. Reichhart, S. Hamacher, and M. Holweg Managing product variety in emerging markets Int. J. Oper. Prod. Manag. 30 2 2010 205 224
47. Scheller-Wolf, A.; Veeraraghavan, S.; van Houtum, G.J.; 2007. Effective dual sourcing with a single index policy. Working Paper, Tepper School of Business, Carnegie Mellon University, Pittsburgh.
48. A. Sheopuri, G. Janakiraman, and S. Seshadri New policies for the stochastic inventory control problem with two supply sources Oper. Res. 58 3 2010 734 745
49. J.-S. Song, and P. Zipkin Inventories with multiple supply sources and networks of queues with overflow bypasses Manag. Sci. 55 3 2009 362 372
50. V. Sridharan, W.L. Berry, and V. Udayabhanu Freezing the master production schedule under rolling planning horizons Manag. Sci. 33 9 1987 1137 1149
51. T. Stäblein, M. Holweg, and J. Miemczyk Theoretical versus actual product variety: how much customization do customers really demand? Int. J. Oper. Prod. Manag. 31 3 2011 350 370
52. H. Stadtler, and C. Kilger Supply Chain Management and Advanced Planning 2008 Springer Berlin
53. M. Stevenson, and M. Spring Supply chain flexibility: an inter-firm empirical study Int. J. Oper. Prod. Manag. 29 9 2009 946 971
54. G. Tagaras, and D. Vlachos A periodic review inventory system with emergency replenishments Manag. Sci. 47 3 2001 415 429
55. C.S. Tang Perspectives in supply chain risk management Int. J. Prod. Econ. 103 2 2006 451 488
56. O. Tang, and S. Nurmaya Musa Identifying risk issues and research advancements in supply chain risk management Int. J. Prod. Econ. 133 1 2011 25 34
57. D.J. Thomas, and J.E. Tyworth Pooling lead-time risk by order splitting: a critical review Transp. Res. Part E: Logist. Transp. Rev. 42 4 2006 245 257
58. A.M.T. Thomé, L.F. Scavarda, N.S. Fernandez, and A.J. Scavarda Sales and operations planning: a research synthesis Int. J. Prod. Econ. 138 1 2012 1 13
59. J.-H. Thun, and D. Hoenig An empirical analysis of supply chain risk management in the german automotive industry Int. J. Prod. Econ. 131 1 2011 242 249
60. T. Tomino, P. Hong, and Y.W. Park An effective integration of manufacturing and marketing system for long production cycle: a case study of Toyota Motor Company Int. J. Logist. Syst. Manag. 9 2 2011 204 217
61. T. Tomino, Y.W. Park, P. Hong, and J.J. Roh Market flexible customizing system MFCS of Japanese vehicle manufacturers: an analysis of Toyota Nissan and Mitsubishi Int. J. Prod. Econ. 118 2 2009 375 386
62. S. Veeraraghavan, and A. Scheller-Wolf Now or later: a simple policy for effective dual sourcing in capacitated systems Oper. Res. 56 4 2008 850 864
63. D. Vlachos, and G. Tagaras An inventory system with two supply modes and capacity constraints Int. J. Prod. Econ. 72 1 2001 41 58
64. T. Volling, and T.S. Spengler Modeling and simulation of order-driven planning policies in build-to-order automobile production Int. J. Prod. Econ. 131 1 2011 183 193
65. J. Wang, Q. Chang, G. Xiao, N. Wang, and S. Li Data driven production modeling and simulation of complex automobile general assembly plant Comput. Ind. 62 7 2011 765 775
66. J. Xie, X. Zhao, and T.S. Lee Freezing the master production schedule under single resource constraint and demand uncertainty Int. J. Prod. Econ. 83 1 2003 65 84