Changing the game in strategic sourcing at Procter & Gamble: Expressive competition enabled by optimization

被引:35
作者
Sandholm, T
Levine, D
Concordia, M
Martyn, P
Hughes, R
Jacobs, J
Begg, D
机构
[1] CombineNet Inc, Pittsburgh, PA 15222 USA
[2] Procter & Gamble Co, Cincinnati, OH 45202 USA
关键词
games; group decisions : bidding; auctions; industries : consumer goods;
D O I
10.1287/inte.1050.0185
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Procter & Gamble put into practice CombineNet's approach to building sourcing networks, called expressive competition. At its heart is a vision that looks past lowest-price reverse auctions and combinatorial package bidding toward a highly expressive commerce relationship with suppliers. It enables suppliers to make electronic offers that express rich forms of capabilities and efficiencies. As the buyer, P&G also uses an expressive language to state constraints and preferences. The detailed expressions of supply and demand are brought together via an advanced optimization engine to decide the optimal allocation of business to the suppliers. By March 2005, over a period of two and a half years, P&G had sourced over $3 billion through expressive commerce and seen $294.8 million (9.6 percent) in recommended savings. In the process, P&G's suppliers benefited from the win-win approach: expressive competition matched demand to the most efficient means of production (rather than squeezing suppliers' profit margins) and removed the exposure risks in making offers. Beyond direct monetary savings, the benefits included the redesign of supply networks with quantitative understanding of the trade-offs and the ability to implement in weeks instead of months.
引用
收藏
页码:55 / 68
页数:14
相关论文
共 34 条
[1]  
Boutilier C, 2004, PROCEEDING OF THE NINETEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE SIXTEENTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE, P204
[2]  
Boutilier C, 2002, EIGHTEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-02)/FOURTEENTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE (IAAI-02), PROCEEDINGS, P359
[3]   Blending OR/MS, judgment, and GIS: Restructuring P&G's supply chain [J].
Camm, JD ;
Chorman, TE ;
Dill, FA ;
Evans, JR ;
Sweeney, DJ ;
Wegryn, GW .
INTERFACES, 1997, 27 (01) :128-142
[4]  
Caplice C, 2003, J BUS LOGIST, V24, P109
[5]  
Conitzer V, 2004, PROCEEDING OF THE NINETEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE SIXTEENTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE, P212
[6]   Combinatorial auctions: A survey [J].
de Vries, S ;
Vohra, RV .
INFORMS JOURNAL ON COMPUTING, 2003, 15 (03) :284-309
[7]  
Fujishima Y, 1999, IJCAI-99: PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS 1 & 2, P548
[8]  
GILPIN A, 2006, P INT C AUT AG MULT
[9]   Combinatorial and quantity-discount procurement auctions benefit Mars, incorporated and its suppliers [J].
Hohner, G ;
Rich, J ;
Ng, E ;
Reid, G ;
Davenport, AJ ;
Kalagnanam, JR ;
Lee, HS ;
An, C .
INTERFACES, 2003, 33 (01) :23-35
[10]  
HOOS H, 2001, P 17 INT JOINT C ART, P1211