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The Evolution of Quick Response Programs

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Part of the book series: International Handbooks on Information Systems ((INFOSYS))

Abstract

In companies’ constant quest to find ways to maintain or improve customer service levels while simultaneously reducing their investment in inventory, apparel companies in the mid-1980s focused on the problem of long lead times between product design and availability in retail stores. They developed the strategy of quick response (QR) to shorten this lead time and to create a supply chain that was more responsive to customers’ demand for fashion items. In this chapter we define QR programs, discuss the origins of these programs in the apparel industry, and compare QR with subsequently developed methods of inventory control widely used across industries.

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Notes

  1. 1.

    In fact, Leed’s operates a bonded warehouse so that it can avoid paying the import duties on the blank products all at once at the time of import. The bonded warehouse allows Leed’s to incur the duty expense at the time at which the individual items are extracted from the facility to fill a customer’s order.

  2. 2.

    Interestingly, experiments by Steckel et al. (2004) show that the performance of systems with particular demand patterns may actually degrade through the sharing of POS sales data because the orders placed by downstream customers are more relevant to inventory decisions in these certain environments.

  3. 3.

    Of course, process improvements that lead to higher levels of product or service quality can be valuable even for non-bottleneck activities. Thus, it is important that managers do not ignore the impact of these non-bottleneck activities completely. As the flow time for the bottleneck activities decreases, other activities will inevitably become new bottlenecks and will deserve the attention of flow time reduction efforts.

  4. 4.

    The individual-rationality constraint, also known as the participation constraint, ensures that each party realizes at least a minimum required benefit from participating in a given activity (Tirole 1988). In this case, the minimum required benefit is the manufacturer’s expected profit from a traditional channel that does not utilize a QR strategy.

References

  • Adidas (2008) Company Website. www.adidas.com. Accessed 7 Nov 2008

  • Anonymous (2008) Mi adidas—customized shoes. Gear Patrol. http://www.gearpatrol.com/blog/2008/06/20/mi-adidas-customized-shoes. Accessed 7 Nov 2008

  • Berger C, Piller F (2003) Customers as Co-Designers. IEE Manuf Eng 82(4):42–45

    Article  Google Scholar 

  • Birtwistle G, Moore CM, Fiorito SS (2006) Apparel quick response systems: The manufacturer perspective. Int J Logist Res Appl 9(2):157–168

    Article  Google Scholar 

  • Birtwistle G, Siddiqui N, Fiorito, SS (2003) Quick response: Perceptions of UK fashion retailers. Int J Retail Distrib Manag 31(2):118–128

    Article  Google Scholar 

  • Blackburn JD (1991) Time Based Competition: The Next Battleground in American Manufacturing. Business One Irwin, Homewood, IL

    Google Scholar 

  • Brown T, ButtrossTE (2008) An empirical analysis of the financial impact of quick response. Int J Retail Distrib Manag 36(8):607–626

    Article  Google Scholar 

  • Choi TM (2007) Pre-season stocking and pricing decisions for fashion retailers with multiple information updating. Int J Prod Econ 106:146–170

    Article  Google Scholar 

  • Choi TM, Li D, Yan H (2006) Quick response policy with Bayesian information updates. Eur J Oper Res 170:788–808

    Article  Google Scholar 

  • Chopra S, Meindl P (2007) Supply Chain Management: Strategy, Planning, & Operation, Third Edition. Pearson Prentice Hall, Upper Saddle River, NJ

    Google Scholar 

  • Comber DB (2008) Streamlining lead time. APICS—The Performance Advantage 18(7):38–41

    Google Scholar 

  • Corbellini E (2006) Patrizia Pepe: Advanced quick fashion. Bocconi School of Management Case 306–475–1

    Google Scholar 

  • Fernie J (1994) Quick response: An international perspective. Int J Phys Distrib Logist Manag 24(6):38–46

    Article  Google Scholar 

  • Fiore AM, Lee S, Kunz G (2004) Individual difference, motivations, and willingness to use a mass customization option for fashion products. Eur J Market 38(7):835–849

    Article  Google Scholar 

  • Fiorito SS, May EG, Straughn K (1995) Quick response in retailing: Components and implementation. Int J Retail Distrib Manag 23(5):12–21

    Article  Google Scholar 

  • Fisher ML (1997) What is the right supply chain for your product? Harv Bus Rev 75(2):105–116

    Google Scholar 

  • Fisher ML, Raman A (1996) Reducing the cost of demand uncertainty through accurate response to early sales. Oper Res 44(1):87–99

    Article  Google Scholar 

  • Fisher ML, Raman A, McClelland AS (2000) Rocket science retailing is almost here – Are you ready? Har Bus Rev 78(4):115–124

    Google Scholar 

  • Forza C, Vinelli A (1996) An analytical scheme for the change of the apparel design process towards quick response. Int J Clothing Science & Technology 8(4):28–43

    Article  Google Scholar 

  • Gallego G, Moon I (1993) The distribution free newsboy problem: Review and extensions. J Oper Res Soc 44:825–834

    Google Scholar 

  • Giunipero LC, Fiorito SS, Pearcy DH, Dandeo L (2001) The impact of vendor incentives on quick response. Int Rev Retail Distrib Consum Res 11(4):359–376

    Google Scholar 

  • Hammond JH (1990) Quick response in the apparel industry. Harvard Business School Press. Case 9–690–038

    Google Scholar 

  • Hammond JH Raman A (2006) Sport Obermeyer, Ltd. Harvard Business School Press. Case 9–695–022

    Google Scholar 

  • Hoffman JM, Mehra S (2000) Efficient consumer response as a supply chain strategy for grocery businesses. Int J Serv Ind Manag 11(4):63–373

    Article  Google Scholar 

  • Hunter NA, Valentino P (1995) Quick response—ten years later. Int J Cloth Sci Tech 7(4):30–40

    Article  Google Scholar 

  • Indu P, Govind S (2008) Supply chain practices of three European apparel companies. ICFAI Center for Management Research. Case 608–020–1

    Google Scholar 

  • Indu P, Gupta V (2006) Zara’s supply chain management practices. ICFAI Center for Management Research. Case 606–021–1

    Google Scholar 

  • Iyer AV, Bergen ME (1997) Quick response in manufacturer-retailer channels. Manag Sci 43(4):559–570

    Article  Google Scholar 

  • Johnson ME, Scudder G (1999) Supporting quick response through scheduling of make-to-stock production/inventory systems. Decis Sci J 30(2):441–467

    Article  Google Scholar 

  • Joint Industry Project on Efficient Consumer Response (1994). An ECR best practices report. Washington, DC: Grocery Manufacturers of America

    Google Scholar 

  • Khan O (2008) New Look – Competing through the design-supply chain interface. Cranfield School of Management. Case 608–016

    Google Scholar 

  • Ko E, Kincade D, Brown JR (2000) Impact of business type upon the adoption of quick response technologies. Int J Oper Prod Manag 20(9):1093–1111

    Article  Google Scholar 

  • Kumar N, Linguri S (2006) Fashion sense. Bus Strat Rev 17(2):80–84

    Article  Google Scholar 

  • Larson PD, Lusch RF (1990) Quick response retail technology: Integration and performance measurement. Int Rev Retail Distrib Consum Res 1(1):17–35

    Article  Google Scholar 

  • Lee CH (2007) Coordination on stocking and progressive pricing policies for a supply chain. Int J Prod Econ 106:307–319

    Article  Google Scholar 

  • Lee HL, Padmanabhan V, Whang S (1997) The bullwhip effect in supply chains. Sloan Manag Rev 38(3):93–102

    Google Scholar 

  • Lim H, Istook CL, Cassill NL (2009) Advanced mass customization in apparel. J Textile and Apparel Tech Manag 6(1):1–16

    Google Scholar 

  • Lummus RR, Vokurka RJ (1999) Defining supply chain management: A historical perspective and practical guidelines. Ind Manag Data Syst 99(1):11–17

    Article  Google Scholar 

  • McKinnon AC, Campbell JB (1998) Quick-response in the frozen food supply chain: The manufacturers’ perspective. Christian Salvesen Logistics Research Paper No 2. Heriot-Watt University School of Management, Edinburgh, Scotland

    Google Scholar 

  • Palmer JW, Markus ML (2000) The performance impacts of quick response and strategic alignment in specialty retailing. Inform Syst Res 11(3):241–259

    Article  Google Scholar 

  • Perry M, Sohal AS (2000) Quick response practices and technologies in developing supply chains. Int J Phys Distrib Logist Manag 30(7/8):627–639

    Article  Google Scholar 

  • Rabinovich E, Dresner ME, Evers PT (2003) Assessing the effects of operational processes and information systems on inventory performance. J Oper Manag 21:63–80

    Article  Google Scholar 

  • Richardson J (1996) Vertical integration and rapid response in fashion apparel. Organ Sci 7(4): 400–412

    Article  Google Scholar 

  • Sabath RE, Autry CW, Daugherty PJ (2001) Automatic replenishment programs: The impact of organizational structure. J Bus Logist 22(1):91–105

    Article  Google Scholar 

  • Smith L (2006) West Marine: A CPFR success story. Supply Chain Manag Rev 10(2):29–36

    Google Scholar 

  • Speer J (2004) On the scene: El Salvador building the CAFTA brand. Apparel Mag 46(2):50–56

    Google Scholar 

  • Squire B, Brown S, Readman J, Bessant J (2006) The impact of mass customization on manufacturing trade-offs. Prod Oper Manag 15(1):10–21

    Article  Google Scholar 

  • Steckel JH, Gupta S, Banerji A (2004) Supply chain decision making: Will shorter cycle times and shared point-of-sale information necessarily help? Manag Sci 50(4):458–464

    Article  Google Scholar 

  • Sullivan P, Kang J (1999) Quick response adoption in the apparel manufacturing industry: Competitive advantage of innovation. J Small Bus Manag 37(1):1–13

    Google Scholar 

  • Tait N (2004) How ‘mi adidias’ provides personalized style, fit. Apparel Mag 45(5):10–13

    Google Scholar 

  • Tirole J (1988) The Theory of Industrial Organization. MIT Press, Cambridge, MA

    Google Scholar 

  • Whiteoak P (1993). The realities of quick response in the grocery sector – a supplier viewpoint. Int J Retail Distrib Manag 21(8):3–11

    Article  Google Scholar 

  • Yao AC, Carlson JG (1999) The impact of real-time data communication on inventory management. Int J Prod Econ 59:213–219

    Article  Google Scholar 

  • Yu Z, Yan H, Cheng TCE (2001) Benefits of information sharing within supply chain partnerships. Ind Manag Data Syst 101(3):114–119

    Article  Google Scholar 

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Correspondence to Matthew J. Drake .

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Drake, M.J., Marley, K.A. (2010). The Evolution of Quick Response Programs. In: Cheng, T., Choi, TM. (eds) Innovative Quick Response Programs in Logistics and Supply Chain Management. International Handbooks on Information Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04313-0_1

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