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Innovative quick response programs: A review

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  • Choi, Tsan-Ming
  • Sethi, Suresh

Abstract

The quick response (QR) supply chain system has received a great deal of attention in the recent past because of the advances in many new technologies such as RFID systems and mobile computing. Establishment of supply chain practices, such as collaborative planning, forecasting, and replenishment (CPFR), and vendor managed inventory (VMI) has also contributed to the development of QR in industrial practice. In view of the growing importance of QR, we review a selection of papers in the supply chain management literature that focus on the innovative measures associated with QR. By classifying the literature into three major areas, namely, supply information management, demand information management, and values of information and supporting technologies, we derive insights into the current state of knowledge in each area and identify some associated challenges. We also suggest future research directions. In conclusion, this paper provides useful information in helping academicians and practitioners to effectively design, control, and implement QR programs.

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Bibliographic Info

Article provided by Elsevier in its journal International Journal of Production Economics.

Volume (Year): 127 (2010)
Issue (Month): 1 (September)
Pages: 1-12

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Handle: RePEc:eee:proeco:v:127:y:2010:i:1:p:1-12

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Web page: http://www.elsevier.com/locate/ijpe

Related research

Keywords: Quick response Supply chain management Information management Advance demand information Multiple delivery modes Forecast updates;

References

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Citations

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Cited by:
  1. Ma, Lijun & Zhao, Yingxue & Xue, Weili & Cheng, T.C.E. & Yan, Houmin, 2012. "Loss-averse newsvendor model with two ordering opportunities and market information updating," International Journal of Production Economics, Elsevier, Elsevier, vol. 140(2), pages 912-921.
  2. Caridi, Maria & Moretto, Antonella & Perego, Alessandro & Tumino, Angela, 2014. "The benefits of supply chain visibility: A value assessment model," International Journal of Production Economics, Elsevier, Elsevier, vol. 151(C), pages 1-19.
  3. Choi, Tsan-Ming, 2013. "Local sourcing and fashion quick response system: The impacts of carbon footprint tax," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 43-54.
  4. Williams, Brent D. & Waller, Matthew A. & Ahire, Sanjay & Ferrier, Gary D., 2014. "Predicting retailer orders with POS and order data: The inventory balance effect," European Journal of Operational Research, Elsevier, vol. 232(3), pages 593-600.
  5. Serel, DoÄŸan A., 2012. "Multi-item quick response system with budget constraint," International Journal of Production Economics, Elsevier, Elsevier, vol. 137(2), pages 235-249.
  6. Choi, Tsan Ming & Chow, Pui Sze & Liu, Shuk Ching, 2013. "Implementation of fashion ERP systems in China: Case study of a fashion brand, review and future challenges," International Journal of Production Economics, Elsevier, Elsevier, vol. 146(1), pages 70-81.
  7. Choi, Tsan-Ming & Chow, Pui-Sze & Xiao, Tiaojun, 2012. "Electronic price-testing scheme for fashion retailing with information updating," International Journal of Production Economics, Elsevier, Elsevier, vol. 140(1), pages 396-406.
  8. Zhang, Juliang & Shou, Biying & Chen, Jian, 2013. "Postponed product differentiation with demand information update," International Journal of Production Economics, Elsevier, Elsevier, vol. 141(2), pages 529-540.
  9. Chen, Jing, 2011. "The impact of sharing customer returns information in a supply chain with and without a buyback policy," European Journal of Operational Research, Elsevier, vol. 213(3), pages 478-488, September.
  10. van der Vorst, Jack G.A.J. & van Kooten, Olaf & Pieternel, A. Luning, 2011. "Towards a Diagnostic Instrument to Identify Improvement Opportunities for Quality Controlled Logistics in Agrifood Supply Chain Networks," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, International Center for Management, Communication, and Research, vol. 2(1).
  11. Egri, Péter & Váncza, József, 2012. "Channel coordination with the newsvendor model using asymmetric information," International Journal of Production Economics, Elsevier, Elsevier, vol. 135(1), pages 491-499.

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