The Value of Collaborative Forecasting in Supply Chains

被引:36
|
作者
Kurtulus, Muemin [1 ]
Uelkue, Sezer [2 ]
Toktay, Beril L. [3 ]
机构
[1] Vanderbilt Univ, Owen Grad Sch Management, Nashville, TN 37203 USA
[2] Georgetown Univ, McDonough Sch Business, Washington, DC 20057 USA
[3] Georgia Inst Technol, Coll Management, Atlanta, GA 30308 USA
关键词
supply chain management; collaborative forecasting; information sharing; INFORMATION; COURNOT; DUOPOLY;
D O I
10.1287/msom.1110.0351
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Motivated by the mixed evidence concerning the adoption level and value of collaborative forecasting (CF) implementations in retail supply chains, in this paper, we explore the conditions under which CF offers the highest potential. We consider a two-stage supply chain with a single supplier selling its product to consumers through a single retailer. We assume that both the supplier and the retailer can improve the quality of their demand forecasts by making costly forecasting investments to gather and analyze information. First, we consider a noncollaborative model where the supplier and the retailer can invest in forecasting but do not share forecast information. Next, we examine a collaborative forecasting model where the supplier and the retailer combine their information to form a single shared demand forecast. We investigate the value of CF by comparing each party's profits in these scenarios under three contractual forms that are widely used in practice (two variations of the simple wholesale price contract as well as the buyback contract). We show that for a given set of parameters, CF may be Pareto improving for none to all three of the contractual structures, and that the Pareto regions under all three contractual structures can be expressed with a unifying expression that admits an intuitive interpretation. We observe that these regions are limited and explain how they are shaped by the contractual structure, power balance, and relative forecasting capability of the parties. To determine the specific value of collaborative forecasting as a function of different factors, we carry out a numerical analysis and observe the following. First, under noncoordinating contracts, improved information as a result of CF has the added benefit of countering the adverse effects of double marginalization in addition to reducing the cost of supply demand mismatch. Second, one may expect the value of CF to increase with bargaining power, however this does not hold in general: The value of CF for the newsvendor first increases and then decreases in his bargaining power. Finally, whereas one may expect CF to be more valuable under coordinating contracts, rather than a simple wholesale price contract that is prone to double marginalization, the magnitude of the gain from CF is in many cases higher in the absence of quantity coordination.
引用
收藏
页码:82 / 98
页数:17
相关论文
共 50 条
  • [31] On replenishment rules, forecasting, and the bullwhip effect in supply chains
    Logistics Systems Dynamics Group, Cardiff Business School, Cardiff University, Aberconway Building, Colum Drive, Cardiff CF10 3EU, United Kingdom
    不详
    Foundations and Trends in Technology, Information and Operations Management, 2007, 2 (01): : 1 - 80
  • [32] Demand forecasting in pharmaceutical supply chains: A case study
    Merkuryeva, Galina
    Valberga, Aija
    Smirnov, Alexander
    ICTE IN TRANSPORTATION AND LOGISTICS 2018 (ICTE 2018), 2019, 149 : 3 - 10
  • [33] A Robust and Easy Approach for Demand Forecasting in Supply Chains
    Hamiche, Koussaila
    Abouaissa, Hassane
    Goncalves, Gilles
    Hsu, Tiente
    IFAC PAPERSONLINE, 2018, 51 (11): : 1732 - 1737
  • [34] A model and a performance measurement system for collaborative supply chains
    Angerhofer, Bernhard J.
    Angelides, Marios C.
    DECISION SUPPORT SYSTEMS, 2006, 42 (01) : 283 - 301
  • [35] Digitalization Elements for Collaborative Planning and Control in Supply Chains
    Hetterscheid, Endric
    Beissert, Ulrike
    DYNAMICS IN LOGISTICS, 2018, : 3 - 9
  • [36] IT Tools for collaborative working in relationally integrated supply chains
    Ugwu, OO
    Kumaraswamy, MM
    Rahman, MM
    Ng, ST
    SYSTEM-BASED VISION FOR STRATEGIC AND CREATIVE DESIGN, VOLS 1-3, 2003, : 217 - 222
  • [37] Competitive and Collaborative Quality and Warranty Management in Supply Chains
    Dai, Yue
    Zhou, Sean X.
    Xu, Yifan
    PRODUCTION AND OPERATIONS MANAGEMENT, 2012, 21 (01) : 129 - 144
  • [38] A holistic view of knowledge integration in collaborative supply chains
    Jayaram, Jayanth
    Pathak, Surya
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (07) : 1958 - 1972
  • [39] A Multiagent Approach for Managing Collaborative Workflows in Supply Chains
    Hsieh, Fu-Shiung
    Lin, Jim-Bon
    PROCEEDINGS OF THE 2014 IEEE 18TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2014, : 71 - 76
  • [40] MRP-based negotiation in collaborative supply chains
    Grabot, B.
    Ming, Y.
    Houe, R.
    INTERNATIONAL JOURNAL OF PRODUCTION MANAGEMENT AND ENGINEERING, 2013, 1 (01) : 27 - 37