What is the principle of postponement or delayed differentiation Why is it considered the key to mass customization?

Part of the International Series in Operations Research & Management Science book series (ISOR,volume 143)

Abstract

Postponement has been discussed by numerous scholars and researchers from different perspectives since 1950s when Alderson [3] observed that products tend to differentiate when they near the time of purchase in order to reduce marketing costs. He named this concept the principle of postponement. Postponement , also known as late customization or delayed product differentiation, refers to delaying some product differentiation processes in a supply chain as late as possible until the supply chain is cost effective (Garg and Lee [43]). It gives rise to economies of scale and scope through product and process standardization and customization, respectively.

Keywords

  • Supply Chain
  • Product Family
  • Mass Customization
  • Customer Order
  • Economic Order Quantity

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Fig. 1.1

What is the principle of postponement or delayed differentiation Why is it considered the key to mass customization?

Fig. 1.2

What is the principle of postponement or delayed differentiation Why is it considered the key to mass customization?

Notes

  1. 1.

    The case study is presented in Chapter 6.

References

  1. Alderson, W. 1957, Marketing efficiency and the principle of postponement, Marketing Behavior and Executive Action, Richard D. Irwin, Homewood, IL pp. 423–427.

    Google Scholar 

  2. Garg, A. and Lee, H. L. 1998, Managing product variety: an operations perspective, in Tayur, S., Ganesham, R. and Magazine, M. (editors), Quantitative Models for Supply Chain Management, Kluwer Academic Publishers, Boston/Dordrecht/London.

    Google Scholar 

  3. Feitzinger, E. and Lee, H. L. 1997, Mass customization at Hewlett-Packard: the power of postponement, Harvard Business Review, January–February, 116–121.

    Google Scholar 

  4. Li, S., Ragu-Nathan, B., Ragu-Nathan, T. S. and Rao, S. S. 2006, The impact of supply chain management practices on competitive advantage and organizational performance, OMEGA, the International Journal of Management Science, 34, 2, 107–124.

    CrossRef  Google Scholar 

  5. MacDuffie, J. P., Sethuraman, K. and Fisher, M. L. 1996, Product variety and manufacturing performance: evidence from the international automotive assembly plant study, Management Science, 42, 3, 350–369.

    CrossRef  Google Scholar 

  6. Yeh, K. H. and Chu, C. H. 1991, Adaptive strategies for coping with product variety decisions, International Journal of Operations and Production Management, 11, 8, 35–47.

    CrossRef  Google Scholar 

  7. Porter, M. 1980, Competitive Strategy: Techniques for Analyzing Industries and Competitors, The Free Press, New York.

    Google Scholar 

  8. Kahn, B. E. 1998, Dynamic relationship with customers: high-variety strategies, Academy of Marketing Science Journal, 26, 1, 45–53.

    CrossRef  Google Scholar 

  9. Stalk, G. Jr. 1988, Time-the next source of competitive advantage, Harvard Business Review, 66, 4, 45–51.

    Google Scholar 

  10. Ulrich, K., Randall, T., Fisher, M. and Reibstein, D. 1999, Managing product variety, in Ho, T. H. and Tang, C. S. (editors), Product Variety Management: Research Advances, Kluwer Academic Publishers, Boston/Dordrecht/London.

    Google Scholar 

  11. Martin, M., Hausman, W. and Ishii, K. 1999, Design for variety, in Ho, T. H. and Tang, C. S. (editors), Product Variety Management: Research Advances, Kluwer Academic Publishers, Boston/Dordrecht/London.

    Google Scholar 

  12. Lampel, L. and Mintzberg, H. 1996, Customizing customization, Sloan Management Review, 38, 21–30.

    Google Scholar 

  13. Lee, H. L. 1998, Postponement for mass customization: satisfying customer demands for tailor-made products, in Gattorna, J. (editor), Strategic Supply Chain Alignment, Gower, England.

    Google Scholar 

  14. Lee, H. L. and Tang, C. S. 1998, Variability reduction through operations reversal, Management Science, 44, 2, 162–172.

    CrossRef  Google Scholar 

  15. Lee, H. L. 1996, Effective inventory and service management through product and process redesign, Operations Research, 44, 1, 151–159.

    CrossRef  Google Scholar 

  16. Christopher, M. 2000, The agile supply chain: competing in volatile markets, Industrial Marketing Management, 29, 1, 37–44.

    CrossRef  Google Scholar 

  17. Pine II, B. J. 1993, Mass Customization: The New Frontier in Business Competition, Harvard Business School Press, Boston.

    Google Scholar 

  18. Federgruen, A. and Zipkin, P. 1984, Approximations of dynamic multi-location production and inventory problems, Management Science, 30, 69–84.

    CrossRef  Google Scholar 

  19. Simchi-Levi, D., Kaminsky, P. and Simchi-Levi, E. 2000, Designing and Managing the Supply Chain, Concepts, Strategies, and Case Studies, McGraw-Hill, New York.

    Google Scholar 

  20. van Mieghem, J. A. and Dada, M. 1999, Price versus production postponement: capacity and competition, Management Science, 45, 12, 1631–1649.

    Google Scholar 

  21. Schroeder, R. 1993, Operations Management: Decision Making in the Operations Function, 4th Edition, McGraw-Hill, New York.

    Google Scholar 

  22. Browne, J., Harhen, J. and Shivnan, J. 1996, Production Management Systems: An Integrated Perspective, 2nd Edition, Addision-Wesley, Harlow, England.

    Google Scholar 

  23. Arnold, J. 1998, Introduction to Materials Management, 3rd Edition, Prentice-Hall, Upper Saddle River, New Jersey.

    Google Scholar 

  24. Lee, H. L., Padmanabhan, V. and Whang, S. 1997, The bullwhip effect in supply chain, Sloan Management Review, 38, 3, 93–102.

    Google Scholar 

  25. De Hann, J., Yamamoto, M. and Lovink, G. 2001, Production planning in Japan: rediscovering lost experiences or new insight? International Journal of Production Economics, 71, 1–3, 101–109.

    CrossRef  Google Scholar 

  26. Hoekstra, S. J. and Romme, J. H. J. M. 1992, Integral Logistics Structures: developing Customer-Oriented Goods Flow, McGraw-Hill, London.

    Google Scholar 

  27. Brown, A. O., Lee, H. L. and Petrakian, R. 2000, Xilinx improves its semiconductor supply chain using product and process postponement, Interfaces, 30, 4, 65–80.

    CrossRef  Google Scholar 

  28. van Donk, D. P. 2001, Make to stock or make to order: the decoupling point in the food processing industries, International Journal of Production Economics, 69, 297–306.

    CrossRef  Google Scholar 

  29. van Hoek, R. 1997, Postponed manufacturing: a case study in the food supply chain, Supply Chain Management, 2, 2, 63–75.

    CrossRef  Google Scholar 

  30. Bucklin, L. P. 1965, Postponement, speculation and the structure of distribution channels, Journal of Marketing Research, February, 26–31.

    Google Scholar 

  31. van Dijk, S., van der Vorst, J. and Beulens, A. 2003, Chicken run-the poultry supply chain, in Johnston, R., Chambers, S., Harland, C., Harrison, A. and Slack, N. (editors), Cases in Operations Management, 3rd Edition, Prentice Hall, UK.

    Google Scholar 

  32. Bowersox, D. J. and Closs, D. J. 1996, Logistical Management, the Integrated Supply Chain Process, Macmillan Publishing Company, New York.

    Google Scholar 

  33. Lee, H. L., Billington, C. and Carter, B. 1993, Hewlett-Packard gains control of inventory and service through design for localization, Interfaces, 23, 4, 1–11.

    CrossRef  Google Scholar 

  34. Twede, D., Clarke, R. H. and Tait, J. A. 2000, Packaging postponement: a global packaging strategy, Packaging Technology and Science, 13, 3, 105–115.

    CrossRef  Google Scholar 

  35. Ackerman, K. B. 1997, Postponement, Practical Handbook of Warehousing, 4th Edition, Chapman and Hall, New York.

    Google Scholar 

  36. Brown, G., Keegan, J., Vigus, B. and Wood, K. 2001, The Kellogg company optimizes production, inventory, and distribution, Interfaces, 31, 6, 1–15.

    Google Scholar 

  37. South China Morning Post (SCMP), 2002, Institutions Happy with Price of BoC, 23 July 2002.

    Google Scholar 

  38. South China Morning Post (SCMP), 2002, BoC Pledges 500 Shares to Every Applicant, 22 July 2002.

    Google Scholar 

  39. Graman, G. A. and Magazine, M. J. 2002, A numerical analysis of capacitated postponement, Production and Operations Management, 11, 3, 340–357.

    CrossRef  Google Scholar 

  40. Cheng, T. C. E. and Podolsky, S. 1996, Just-in-time Manufacturing: An Introduction, 2nd Edition, Chapman and Hall, London.

    Google Scholar 

  41. Heskett, J. L. 1976, Marketing, Macmillan Publishing Co., Inc., New York.

    Google Scholar 

  42. Ernst, R. and Kamrad, B. 2000, Evaluation of supply chain structures through modularization and postponement, European Journal of Operational Research, 124, 495–510.

    CrossRef  Google Scholar 

  43. Olhager, J. 1994, On the positioning of the customer order decoupling point, Proceedings from the 1994 Pacific Conference on Manufacturing, Jakarta, pp. 1093–1100.

    Google Scholar 

  44. Hoekstra, S. J. and Romme, J. H. J. M. 1985, Direction Towards Integral Logistics, Kluwer, Deventer, The Netherlands.

    Google Scholar 

  45. Chiou, J. S., Wu, L. Y. and Hsu, J. C. 2002, The adoption of form postponement strategy in a global logistics system: the case of Taiwanese information technology industry, Journal of Business Logistics, 23, 107–124.

    CrossRef  Google Scholar 

  46. van Hoek, R. I. 2000, Role of third party logistics services in customization through postponement, International Journal of Service Industry Management, 11, 4, 374–387.

    CrossRef  Google Scholar 

  47. Tully, S. 1993, The module corporation, Fortune, 8 February, 52–56.

    Google Scholar 

  48. Ma, S., Wang, W. and Liu, L. 2002, Commonality and postponement in multistage assembly systems, European Journal of Operational Research, 142, 3, 523–538.

    CrossRef  Google Scholar 

  49. Zinn, W. and Bowersox, D. J. 1988, Planning physical distribution with the principle of postponement, Journal of Business Logistics, 9, 2, 117–136.

    Google Scholar 

  50. Kennedy, D., Elliott, B. and Carbone, F. 1998, Lean synchronous manufacturing: “hard-wiring” production to demand, in Gattorna, J. (editor), Strategic Supply Chain Alignment, Gower, England.

    Google Scholar 

  51. Barkan, P. 1991, Strategic and tactical benefits of simultaneous engineering, Design Management Journal, spring, 39–42.

    Google Scholar 

  52. Calvin III, R. K. and Miller, W. H. 1989, Design for manufacturing, SRC Newsletter, 7, 1–3.

    Google Scholar 

  53. van Hoek, R. I., Vos, B. and Commandeur, H. R. 1999, Restructuring European supply chains by implementing postponement strategies, Long Range Planning, 32, 5, 505–518.

    CrossRef  Google Scholar 

  54. Beamon, B. M. 1998, Supply chain design and analysis: models and methods, International Journal of Production Economics, 55, 3, 281–294.

    CrossRef  Google Scholar 

  55. Hillier, F. S. and Lieberman, G. J. 2001, Introduction to Operations Research, 7th Edition, McGraw-Hill, Singapore.

    Google Scholar 

  56. Lee, H. L. and Tang, C. S. 1997, Modeling the costs and benefits of delayed product differentiation, Management Science, 43, 1, 40–53.

    CrossRef  Google Scholar 

  57. Garg, A. and Tang, C. S. 1997, On postponement strategies for product families with multiple points of differentiation, IIE Transactions, 29, 8, 641–650.

    Google Scholar 

  58. Aviv, Y. and Federgruen, A. 2001, Capacitated multi-item inventory systems with random and seasonally fluctuating demands: implications for postponement strategies, Management Science, 47, 4, 512–531.

    CrossRef  Google Scholar 

  59. Collier, D. A. 1982, Aggregate safety stock levels and component part commonality, Management Science, 28, 11, 1296–1303.

    CrossRef  Google Scholar 

  60. McClain, J. O., Maxwell, W. L., Muckstadt, J. A., Thomas, L. J. and Weiss, E. N. 1984, Comment on “Aggregate safety stock levels and component part commonality”, Management Science, 30, 6, 772–774.

    CrossRef  Google Scholar 

  61. Baker, K. R., Magazine, J. and Nuttle, H. L. W. 1986, The effect of commonality on safety stock in a simple inventory model, Management Science, 32, 8, 982–988.

    CrossRef  Google Scholar 

  62. Ballou, R. H. 1989, Heuristics: rule of thumb for logistics decision making, Journal of Business Logistics, 10, 1, 122–132.

    Google Scholar 

  63. Corry, P. and Kozan, E. 2002, Optimizing a horizontally integrated push/pull hybrid production system in a foundry, in Kozan, E. and Ohuchi, A. (editors), Operations Search/Management Science at Work, Kluwer Academic Publishers, Boston/Dordrecht/London.

    Google Scholar 

  64. Cochran, J. K. and Kim, S. S. Optimal junction point location and inventory levels in serial hybrid push/pull production system, International Journal of Production Research, 36, 4, 1141–1155.

    Google Scholar 

  65. Zinn, W. 1990, Developing heuristics to estimate the impact of postponement on safety stock, The International Journal of Logistics Management, 1, 2, 11–16.

    CrossRef  Google Scholar 

  66. Johnson, M. E. and Anderson, E. 2000, Postponement strategies for channel derivatives, The International Journal of Logistics Management, 11, 1, 19–35.

    CrossRef  Google Scholar 

  67. van Hoek, R. I. 2000, The role of third-party logistics providers in mass customization, International Journal of Logistics Management, 11, 37–46.

    CrossRef  Google Scholar 

  68. Huang, C. W. and Lo, C. P. 2003, Using postponed manufacturing to reconfigure the supply chain in the desktop personal company industry: the case of Taiwan, International Journal of Management, 20, 241–256.

    Google Scholar 

  69. Jahre, M. 1995, Household waste collection as a reverse channel: a theoretical perspective, International Journal of Physical Distribution and Logistics Management, 25, 2, 39–55.

    CrossRef  Google Scholar 

  70. Nicoll, A. D. 1994, Integrating logistics strategies, Annual International Conference Proceedings-American Production and Inventory Control Society, pp. 590–594.

    Google Scholar 

  71. Wan, J. C. L. 2004, Postponement Strategy in Supply Chain Management (M.Phil. Thesis), Department of Logistics, The Hong Kong Polytechnic University, Hong Kong.

    Google Scholar 

  72. Li, J., Cheng, T. C. E. and Wang, S. Y. 2007, Analysis of postponement strategy for perishable items by EOQ-based models, International Journal of Production Economics, 107, 1, 31–38.

    CrossRef  Google Scholar 

  73. Li, J., Wang, S. Y. and Cheng, T. C. E. 2008, Analysis of postponement strategy by EPQ-based models with planned backorder, OMEGA, the International Journal of Management Science, 36, 5, 777–788.

    CrossRef  Google Scholar 

  74. van Hoek, R. I. 1998, Logistics and virtual integration: postponement, outsourcing and the flow of information, International Journal of Physical Distribution and Logistics Management, 28, 7, 508–523.

    CrossRef  Google Scholar 

  75. Zipkin, P. H. 2000, Foundations of Inventory Management, International Edition, McGraw-Hill, Boston.

    Google Scholar 

  76. Hadley, G. and Whitin, T. M. 1963, Analysis of Inventory Systems, Prentice-Hall, Englewood Cliffs, New Jersey.

    Google Scholar 

  77. Silver, E. A. 1976, A simple method of determining order quantities in joint replenishments under deterministic demand, Management Science, 22, 12, 1351–1361.

    CrossRef  Google Scholar 

  78. Shu, F. T. 1971, Economic ordering frequency for two items jointly replenished, Management Science, 17, 6, 406–410.

    CrossRef  Google Scholar 

  79. Nocturne, D. J. 1973, Economic ordering frequency for several items jointly replenished, Management Science, 19, 9, 1093–1096.

    CrossRef  Google Scholar 

  80. Chen, C. K. and Min, K. J. 1994, A multi-product EOQ model with pricing consideration-T. C. E. Cheng’s model revisited, Computers and Industrial Engineering, 26, 4, 787–794.

    CrossRef  Google Scholar 

  81. Cheng, T. C. E. 1990, An EOQ model with pricing consideration. Computers and Industrial Engineering, 18, 4, 529–534.

    CrossRef  Google Scholar 

  82. Nahmias, S. 2001, Production and Operations Analysis, 4th Edition, McGraw-Hill International Edition, New York.

    Google Scholar 

  83. Eilon, S. 1985, Multi-product batch production on a single machine-a problem revisited, OMEGA, the International Journal of Management Science, 13, 5, 453–468.

    CrossRef  Google Scholar 

  84. Goyal, S. K. 1984, Determination of economic production quantities for a two-product single machine system, International Journal of Production Research, 22, 1, 121–126.

    CrossRef  Google Scholar 

  85. Tersine, R. J. 1994, Principles of Inventory and Material Management, 4th Edition, Prentice-Hall, New Jersey.

    Google Scholar 

  86. Byrne, M. D. 1990, Multi-item production lot sizing using a search simulation approach, Engineering Costs and Production Economics, 19, 1–3, 307–311.

    CrossRef  Google Scholar 

  87. O’Grady, P. J. and Byrne, M. D. 1987, Lot sizing in a practical manufacturing system, Engineering Costs and Production Economics, 13, 1, 13–26.

    CrossRef  Google Scholar 

  88. O’Grady, P. and Byrne, M. 1989, Adaptive lot sizing (with case study), Engineering Costs and Production Economics, 15, 397–404.

    CrossRef  Google Scholar 

  89. Bertrand, J. W. M. 1985, Multiproduct optimal batch sizes with in-process inventories and multi work centers, IIE Transactions, 17, 2, 157–163.

    CrossRef  Google Scholar 

  90. Goyal, S. K., Gunasekaran, A., Martikainen, T. and Yli-Olli, P. 1993, Determining economic batch sizes for multiple items in a multilevel manufacturing system, International Journal of Operations and Production Management, 13, 12, 79–93.

    CrossRef  Google Scholar 

  91. Federgruen, A. and Zheng, Y. S. 1992, An efficient algorithm for computing an optimal (r,q) policy in continuous review stochastic inventory systems, Operations Research, 40, 808–813.

    CrossRef  Google Scholar 

  92. Browne, S. and Zipkin, P. 1991, Inventory models with continuous stochastic demands, The Annals of Applied Probability, 1, 419–435.

    CrossRef  Google Scholar 

  93. Matheus, P. and Gelders, L. 2000, The \((R,Q)\) inventory policy subject to a compound Poisson demand pattern, International Journal of Production Economics, 68, 3, 307–317.

    CrossRef  Google Scholar 

  94. Moinzadeh, K. and Nahmias, S. 1988, A continuous review model for an inventory system with two supply modes, Management Science, 34, 761–773.

    CrossRef  Google Scholar 

  95. Moinzadeh, K. and Lee, H. L. 1989, Approximate order quantities and reorder points for inventory systems where orders arrive in two shipments, Operations Research, 37, 277–287.

    CrossRef  Google Scholar 

  96. Axsäter, S. 1997, Simple evaluation of echelon stock \((R,Q)\) policies for two-level inventory systems, IIE Transactions, 29, 661–669.

    Google Scholar 

  97. Badinelli, R. D. 1992, A model for continuous-review pull policies in serial inventory systems, Operations Research, 40, 142–156.

    CrossRef  Google Scholar 

  98. Ng, C. T., Li, L. Y. O. and Chakhlevitch, K. 2001, Coordinated replenishments with alternative supply sources in two-level supply chains, International Journal of Production Economics, 73, 227–240.

    CrossRef  Google Scholar 

  99. Parlar, M. and Perry, D. 1995, Analysis of a \((Q,r,T)\) inventory policy with deterministic and random yields when future supply is uncertain, European Journal of Operational Research, 84, 431–443.

    CrossRef  Google Scholar 

  100. Melchiors, P. 2002, Calculating can-order policies for the joint replenishment problem by the compensation approach, European Journal of Operational Research, 141, 587–595.

    CrossRef  Google Scholar 

  101. Abboud, N. E. 2001, A discrete-time Markov production-inventory model with machine breakdowns, Computers and Industrial Engineering, 39, 95–107.

    CrossRef  Google Scholar 

  102. Taha, H. A. 2003, Operations Research: An introduction, 7th Edition, Prentice-Hall, New Jersey.

    Google Scholar 

  103. Render, B., Stair, R. M. Jr. and Hanna, M. 2003, Quantitative Analysis for Management, Prentice-Hall, New Jersey.

    Google Scholar 

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Authors and Affiliations

  1. Department of Logistics & Maritime Studies, The Hong Kong Polytechnic University, 11 Yuk Choi Road Hung Hom, Kowloon, Hong Kong SAR

    T.C. Edwin Cheng & C.L. Johnny Wan

  2. School of Economics & Management Beijing University of Chemical Technology (BUCT), 15 East Road of North Third Ring Road, 100029, Beijing, China, People’s Republic

    Jian Li

  3. Chinese Academy of Sciences Academy of Mathematics & Systems Science, 55 Zhongguancun East Road, 100190, Beijing, China, People’s Republic

    Shouyang Wang

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  1. T.C. Edwin Cheng

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Correspondence to T.C. Edwin Cheng .

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Cheng, T.E., Li, J., Wan, C.J., Wang, S. (2010). Introduction. In: Postponement Strategies in Supply Chain Management. International Series in Operations Research & Management Science, vol 143. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5837-2_1

What is the principle of postponement or delayed differentiation?

Delayed differentiation or Postponement is a concept in supply chain management where the manufacturing process starts by making a generic or family product that is later differentiated into a specific end-product.

Why postponement considered the key to mass customization?

Postponement requires process modularity, and it moves the customer order decoupling point downstream in the value added material flow. It contributes the mass customization by increasing both the leanness and agility.

What is the principle of postponement?

As already stated, the principle of postponement requires that changes in form and identity occur at the latest possible point in the marketing flow; and changes in inventory location occur at the latest possible point in time.

What is the relationship between mass customization and delayed differentiation?

Benefits of Mass Customization Mass customization enables manufacturers to delay the step of product differentiation until the final phase of manufacturing. Rather than the manufacturer deciding on the features that make the product unique, mass customization allows the consumer to make these decisions.