Interorganizational collaborative forecasting and replenishment systems and supply chain implications

被引:70
|
作者
Raghunathan, S [1 ]
机构
[1] Univ Texas, Sch Management, Management Sci & Informat Syst Dept, Richardson, TX 75083 USA
关键词
D O I
10.1111/j.1540-5915.1999.tb00918.x
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Collaborative Forecasting and Replenishment (CFAR) is a new interorganizational system that enables retailers and manufacturers to forecast demand and schedule production jointly. The capabilities of CFAR exceed those of the traditional EDI because CFAR allows exchange of complex decision support models and manufacturer/retailer strategies. The proponents of CFAR claim that the fastest way for retailers and manufacturers to slash inventory costs and product shortages is by coordinating their decisions. The impact of CFAR on the supply chain using a model consisting of a manufacturer selling its product through two independent identical retailers is analyzed. The model assumes that the manufacturer doesn't face capacity constraints, the demand is stationary, and retailer prices are constant over time; the shortages are backordered at the manufacturer and retailers to isolate the effects of information sharing in CFAR. The most significant findings relate to the increase in the cost incurred by the nonparticipant in CFAR, the increase in the manufacturer's cost of serving the nonparticipant if the participant can obtain delivery guarantees in return for demand information sharing, and the incentives of the players to move towards universal retailer participation in CFAR. The findings are explained using the risk structure faced by the players in the supply chain. The managerial implications of the impact of CFAR on the supply chain structure are also discussed.
引用
收藏
页码:1053 / 1071
页数:19
相关论文
共 50 条
  • [41] Developing retailer selection factors for collaborative planning, forecasting and replenishment
    Panaihfar, Farhad
    Heavey, Cathal
    Byrne, P. J.
    INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2015, 115 (07) : 1292 - 1324
  • [42] Leading the development and implementation of collaborative interorganizational systems
    Volkoff, O
    Chan, YE
    Newson, EFP
    INFORMATION & MANAGEMENT, 1999, 35 (02) : 63 - 75
  • [43] A framework for Collaborative Planning, Forecasting and Replenishment (CPFR) State of the Art
    Panahifar, Farhad
    Heavey, Cathal
    Byrne, P. J.
    Fazlollahtabar, Hamed
    JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2015, 28 (06) : 838 - 871
  • [44] EDI and the moderator effect of interorganizational cooperation in the supply chain
    Sánchez, AM
    Pérez, MP
    JOURNAL OF ORGANIZATIONAL COMPUTING AND ELECTRONIC COMMERCE, 2005, 15 (02) : 83 - 104
  • [45] Classic Linear Regression Model for Forecasting in Supply Chain Systems
    Cao Yonghui
    MOT2009: PROCEEDINGS OF ZHENGZHOU CONFERENCE ON MANAGEMENT OF TECHNOLOGY, VOLS I AND II, 2009, : 611 - 613
  • [46] Food Cold Chain Equilibrium Based on Collaborative Replenishment
    Lan, H. J.
    Zhao, L.
    Su, L.
    Liu, Z. G.
    JOURNAL OF APPLIED RESEARCH AND TECHNOLOGY, 2014, 12 : 201 - 211
  • [47] Replenishment Decision and Coordination in the Agricultural Supply Chain Under Supply Disruption
    Xia, Bei
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION, INFORMATION AND CONTROL, 2015, 125 : 1333 - 1338
  • [48] The Value of Collaborative Forecasting in Supply Chains
    Kurtulus, Muemin
    Uelkue, Sezer
    Toktay, Beril L.
    M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, 2012, 14 (01) : 82 - 98
  • [49] Difficulties in implementing the agile supply chain: Lessons learned from interorganizational information systems adoption
    Nagy, A
    BUSINESS AGILITY AND INFORMATION TECHNOLOGY DIFFUSION, 2005, 180 : 157 - 171
  • [50] Replenishment decision and coordination contract in cluster supply chain
    Yan, Bo
    Chen, Xiaoxu
    Liu, Yanping
    Xia, Chang
    INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2019, 119 (06) : 1374 - 1399