Collaborative capacity sharing among manufacturers on the same supply network horizontal layer for sustainable and balanced returns

被引:36
作者
Seok, Hyesung [1 ]
Nof, Shimon Y. [2 ,3 ]
机构
[1] Hongik Univ, Dept Ind Engn, Seoul, South Korea
[2] Purdue Univ, PRISM Ctr, W Lafayette, IN 47907 USA
[3] Purdue Univ, Sch Ind Engn, W Lafayette, IN 47907 USA
关键词
collaboration control theory; collaboration protocol; distributed decision-making; horizontal collaboration; profit distribution; CHAIN MANAGEMENT; NEGOTIATION; IMPACT;
D O I
10.1080/00207543.2013.842016
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To deal with volatile demand and rapidly changing manufacturing technologies for sustainable returns, as a solution, collaborative capacity sharing (CCS) among manufacturers at the same horizontal layer in supply networks is discussed in this research, especially focusing on a long-term aspect. Such horizontal collaboration can minimise manufacturers' lost sales, as well as maximise their production capacity utilisation in a long-term period against lumpy demand. Hence, to help manufacturers determine whether and with whom they have to collaborate a CCS protocol based on a theoretical analysis is developed. It is a distributed decision protocol suggesting an effective coalition for each manufacturer. Furthermore, for well-balanced distribution of resulting profits to each manufacturer, two procedures are proposed: (1) determination of appropriate substitution production cost and (2) bids among manufacturers/coalitions. To evaluate the effect of those processes, two types of CCS protocols are designed - CCS-(1) and CCS-(2); only CCS-(2) performs those procedures. A numerical experiment is conducted to compare the performance of four models: No collaboration, complete collaboration, and two types of selective collaboration by CCS-(1) and CCS-(2). The performance of CCS-(2) is at least equal to or better than other models with higher and balanced returns.
引用
收藏
页码:1622 / 1643
页数:22
相关论文
共 32 条
[1]  
Angulo A., 2004, Journal of Business Logistics, V25, P101, DOI 10.1002/j.2158-1592.2004.tb00171.x
[2]  
[Anonymous], THESIS PURDUE U
[3]  
[Anonymous], 2011, P 21 ICPR STUTTG AUG
[4]   Understanding the meaning of collaboration in the supply chain [J].
Barratt, M .
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2004, 9 (01) :30-42
[5]   Supply chain inventory management and the value of shared information [J].
Cachon, GP ;
Fisher, M .
MANAGEMENT SCIENCE, 2000, 46 (08) :1032-1048
[6]   A framework of sustainable supply chain management: moving toward new theory [J].
Carter, Craig R. ;
Rogers, Dale S. .
INTERNATIONAL JOURNAL OF PHYSICAL DISTRIBUTION & LOGISTICS MANAGEMENT, 2008, 38 (5-6) :360-387
[7]   Price negotiation for capacity sharing in a two-factory environment using genetic algorithm [J].
Chen, J. -C. ;
Wang, K. -J. ;
Wang, S. -M. ;
Yang, S. -J. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2008, 46 (07) :1847-1868
[8]  
Darmanata Jos, 2010, 5th International Conference on Responsive Manufacturing - Green Manufacturing (ICRM 2010), P329, DOI 10.1049/cp.2010.0453
[9]   Sustainable Development in Engineering: A Review of Principles and Definition of a Conceptual Framework [J].
Gagnon, Bruno ;
Leduc, Roland ;
Savard, Luc .
ENVIRONMENTAL ENGINEERING SCIENCE, 2009, 26 (10) :1459-1472
[10]  
Jiao JX, 2009, IN C IND ENG ENG MAN, P1714, DOI 10.1109/ICIEEM.2009.5344337