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A study on evaluation of demand information-sharing methods in supply chain

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  • Ryu, Seung-Jin
  • Tsukishima, Takahiro
  • Onari, Hisashi

Abstract

With the increasing globalization, there are many sources of uncertainty across the entire high-tech electronics equipment supply chain. These include demand uncertainty and supply uncertainty due to the use of unskilled labor, as well as the sudden breakdown of production facilities of upstream players. These cause many problems, including excess inventory and poor service, to name but two. Information sharing is a very important tool in dealing with these sort of problems because it helps to eradicate potential uncertainties related to various corporate behaviors. Although there has been much research on this subject since the 1990s, there have not been sufficient efforts to identify the control characteristics, or the responsiveness of various information-sharing methods. Our objective here is to clarify the control characteristics of information-sharing methods closely related to the supply chain community strategy. In this study, we evaluate the supply chain performance of two different types of information-sharing methods. One is the planned demand transferring method (PDTM), and the other is the forecasted demand distributing method (FDDM). We analyze supply chain performance for both methods in terms of throughput, inventory level, and service level.

Suggested Citation

  • Ryu, Seung-Jin & Tsukishima, Takahiro & Onari, Hisashi, 2009. "A study on evaluation of demand information-sharing methods in supply chain," International Journal of Production Economics, Elsevier, vol. 120(1), pages 162-175, July.
  • Handle: RePEc:eee:proeco:v:120:y:2009:i:1:p:162-175
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    1. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    2. Bourland, Karla E. & Powell, Stephen G. & Pyke, David F., 1996. "Exploiting timely demand information to reduce inventories," European Journal of Operational Research, Elsevier, vol. 92(2), pages 239-253, July.
    3. Vishal Gaur & Avi Giloni & Sridhar Seshadri, 2005. "Information Sharing in a Supply Chain Under ARMA Demand," Management Science, INFORMS, vol. 51(6), pages 961-969, June.
    4. Byrne, P.J. & Heavey, Cathal, 2006. "The impact of information sharing and forecasting in capacitated industrial supply chains: A case study," International Journal of Production Economics, Elsevier, vol. 103(1), pages 420-437, September.
    5. Lode Li, 2002. "Information Sharing in a Supply Chain with Horizontal Competition," Management Science, INFORMS, vol. 48(9), pages 1196-1212, September.
    6. Yao, Dong-Qing & Yue, Xiaohang & Wang, Xiaoyin & Liu, John J., 2005. "The impact of information sharing on a returns policy with the addition of a direct channel," International Journal of Production Economics, Elsevier, vol. 97(2), pages 196-209, August.
    7. Fangruo Chen, 1998. "Echelon Reorder Points, Installation Reorder Points, and the Value of Centralized Demand Information," Management Science, INFORMS, vol. 44(12-Part-2), pages 221-234, December.
    8. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    9. Fangruo Chen & Bin Yu, 2005. "Quantifying the Value of Leadtime Information in a Single-Location Inventory System," Manufacturing & Service Operations Management, INFORMS, vol. 7(2), pages 144-151, December.
    10. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2004. "The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective," European Journal of Operational Research, Elsevier, vol. 153(3), pages 727-750, March.
    11. Yao, Dong-Qing & Kurata, Hisashi & Mukhopadhyay, Samar K., 2008. "Incentives to reliable order fulfillment for an Internet drop-shipping supply chain," International Journal of Production Economics, Elsevier, vol. 113(1), pages 324-334, May.
    12. Zhao, Xiande & Xie, Jinxing & Leung, Janny, 2002. "The impact of forecasting model selection on the value of information sharing in a supply chain," European Journal of Operational Research, Elsevier, vol. 142(2), pages 321-344, October.
    13. Gérard P. Cachon & Martin A. Lariviere, 2001. "Contracting to Assure Supply: How to Share Demand Forecasts in a Supply Chain," Management Science, INFORMS, vol. 47(5), pages 629-646, May.
    14. Fangruo Chen, 1999. "Decentralized Supply Chains Subject to Information Delays," Management Science, INFORMS, vol. 45(8), pages 1076-1090, August.
    15. Chen, Haoya & Chen, Jian & Chen, Youhua (Frank), 2006. "A coordination mechanism for a supply chain with demand information updating," International Journal of Production Economics, Elsevier, vol. 103(1), pages 347-361, September.
    16. Susan Cohen Kulp & Hau L. Lee & Elie Ofek, 2004. "Manufacturer Benefits from Information Integration with Retail Customers," Management Science, INFORMS, vol. 50(4), pages 431-444, April.
    17. Welker, Gera A. & van der Vaart, Taco & Pieter van Donk, Dirk, 2008. "The influence of business conditions on supply chain information-sharing mechanisms: A study among supply chain links of SMEs," International Journal of Production Economics, Elsevier, vol. 113(2), pages 706-720, June.
    18. Noel Watson & Yu-Sheng Zheng, 2005. "Decentralized Serial Supply Chains Subject to Order Delays and Information Distortion: Exploiting Real-Time Sales Data," Manufacturing & Service Operations Management, INFORMS, vol. 7(2), pages 152-168, May.
    19. Apurva Jain & Kamran Moinzadeh, 2005. "A Supply Chain Model with Reverse Information Exchange," Manufacturing & Service Operations Management, INFORMS, vol. 7(4), pages 360-378, November.
    20. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    21. Yossi Aviv, 2001. "The Effect of Collaborative Forecasting on Supply Chain Performance," Management Science, INFORMS, vol. 47(10), pages 1326-1343, October.
    22. Srinagesh Gavirneni & Roman Kapuscinski & Sridhar Tayur, 1999. "Value of Information in Capacitated Supply Chains," Management Science, INFORMS, vol. 45(1), pages 16-24, January.
    23. Holweg, Matthias & Disney, Stephen & Holmström, Jan & Småros, Johanna, 2005. "Supply Chain Collaboration:: Making Sense of the Strategy Continuum," European Management Journal, Elsevier, vol. 23(2), pages 170-181, April.
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    Cited by:

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    3. Lina Tang & Taho Yang & Yiliu Tu & Yizhong Ma, 2021. "Supply chain information sharing under consideration of bullwhip effect and system robustness," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 337-380, June.
    4. Chong, Alain Yee-Loong & Zhou, Li, 2014. "Demand chain management: Relationships between external antecedents, web-based integration and service innovation performance," International Journal of Production Economics, Elsevier, vol. 154(C), pages 48-58.
    5. Shuyun Ren & Hau-Ling Chan & Pratibha Ram, 2017. "A Comparative Study on Fashion Demand Forecasting Models with Multiple Sources of Uncertainty," Annals of Operations Research, Springer, vol. 257(1), pages 335-355, October.
    6. Kim Hua Tan & W. P. Wong & Leanne Chung, 2016. "Information and Knowledge Leakage in Supply Chain," Information Systems Frontiers, Springer, vol. 18(3), pages 621-638, June.
    7. Choi, Tsan-Ming & Sethi, Suresh, 2010. "Innovative quick response programs: A review," International Journal of Production Economics, Elsevier, vol. 127(1), pages 1-12, September.
    8. Baruah, Pundarikaksha & Chinnam, Ratna Babu & Korostelev, Alexander & Dalkiran, Evrim, 2016. "Optimal soft-order revisions under demand and supply uncertainty and upstream information," International Journal of Production Economics, Elsevier, vol. 182(C), pages 14-25.
    9. Ramanathan, Usha, 2013. "Aligning supply chain collaboration using Analytic Hierarchy Process," Omega, Elsevier, vol. 41(2), pages 431-440.
    10. Carole Camisullis & Vincent Giard & Gisele Mendy-Bilek, 2010. "The information to share in upstream supply chains dedicated to mass production of customized products for allowing a decentralized management," Working Papers hal-00876993, HAL.
    11. Araneda-Fuentes, Cristina & Lustosa, Leonardo Junqueira & Minner, Stefan, 2015. "A contract for coordinating capacity decisions in a business-to-business (B2B) supply chain," International Journal of Production Economics, Elsevier, vol. 165(C), pages 158-171.
    12. Rubén Jesús Pérez-López & Jesús Everardo Olguín Tiznado & María Mojarro Magaña & Claudia Camargo Wilson & Juan Andrés López Barreras & Jorge Luis García-Alcaraz, 2019. "Information Sharing with ICT in Production Systems and Operational Performance," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    13. Fernandes, Rui & Gouveia, Borges & Pinho, Carlos, 2010. "Modeling Overstock," MPRA Paper 25126, University Library of Munich, Germany.
    14. Ramanathan, Usha & Muyldermans, Luc, 2010. "Identifying demand factors for promotional planning and forecasting: A case of a soft drink company in the UK," International Journal of Production Economics, Elsevier, vol. 128(2), pages 538-545, December.
    15. Xingzheng Ai & Jing Chen & Jianhua Ma, 2012. "Contracting with demand uncertainty under supply chain competition," Annals of Operations Research, Springer, vol. 201(1), pages 17-38, December.
    16. Ramanathan, Usha & Gunasekaran, Angappa, 2014. "Supply chain collaboration: Impact of success in long-term partnerships," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 252-259.
    17. Caridi, Maria & Crippa, Luca & Perego, Alessandro & Sianesi, Andrea & Tumino, Angela, 2010. "Do virtuality and complexity affect supply chain visibility?," International Journal of Production Economics, Elsevier, vol. 127(2), pages 372-383, October.
    18. Dreyer, Heidi C. & Strandhagen, Jan Ola & Thomassen, Maria K. & Romsdal, Anita & Gran, Erik, 2014. "Supply Chain Design and Control Principles in Local Food Production: A Norwegian Case Study," 2014 International European Forum, February 17-21, 2014, Innsbruck-Igls, Austria 199344, International European Forum on System Dynamics and Innovation in Food Networks.
    19. Carole Camisullis & Vincent Giard & Gisele Mendy-Bilek, 2011. "Information to share in supply chains dedicated to the mass production of customized products for decentralized management," Working Papers hal-00876865, HAL.
    20. 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, vol. 151(C), pages 1-19.
    21. repec:dau:papers:123456789/3719 is not listed on IDEAS
    22. Zhang, Yanming & Huo, Baofeng & Liu, Jing & Dai, Fei & Kang, Mingu, 2023. "Understanding the impact of buyer extra-role behavior on supply-side operational transparency: A serial mediation model," International Journal of Production Economics, Elsevier, vol. 266(C).
    23. Kang, Jae-Hun & Kim, Yeong-Dae, 2010. "Coordination of inventory and transportation managements in a two-level supply chain," International Journal of Production Economics, Elsevier, vol. 123(1), pages 137-145, January.

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