Performance measurement in supply chains: new network analysis and entropic indexes

被引:55
作者
Allesina, S. [2 ]
Azzi, A. [1 ]
Battini, D. [1 ]
Regattieri, A. [3 ]
机构
[1] Univ Padua, Dept Management & Engn, I-36100 Vicenza, Italy
[2] Univ Michigan, Dept Ecol & Evolutionary Biol, Ann Arbor, MI 48109 USA
[3] Univ Bologna, Dept Ind & Mech Plants, I-40136 Bologna, Italy
关键词
supply chain management (SCM); supply network analysis; complexity; entropic model; performance indexes; MEASURING COMPLEXITY;
D O I
10.1080/00207540802647327
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Industrial organisations must supply a variety of products and services, meet the needs of fragmented customer expectations, and cope with the consequences of the globalisation of world markets, all of which are producing significant levels of complexity. This study develops a new quantitative measurement of complexity for a supply network based on network analysis, which is often used to study natural ecosystems, focusing in particular on the concept of entropy of information. The research reports advances in both theory on the supply network analysis problem and on its application to industrial contexts. Eight indexes based on entropy are presented. These measures provide a meaningful analysis of the level of complexity in the whole supply network mapping the exchanges of goods between the different actors in the network. The impact of possible modifications of the structure can simply be evaluated using these tools, providing a simple evaluation of the different scenarios. The proposed method takes a holistic point of view to tackle the problem of supply network optimisation. A real world application of the developed new methodology is presented.
引用
收藏
页码:2297 / 2321
页数:25
相关论文
共 38 条
[1]   Input-output models for the analysis of a local/global supply chain [J].
Albino, V ;
Izzo, C ;
Kühtz, S .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2002, 78 (02) :119-131
[2]  
ALLESINA S, 2004, THESIS U PARMA ITALY
[3]  
[Anonymous], 1964, MATH THEORY COMMUNIC
[4]   A measure of agility as the complexity of the enterprise system [J].
Arteta, BM ;
Giachetti, RE .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2004, 20 (06) :495-503
[5]  
Bang-Jensen J, 2000, Digraphs: Theory, Algorithms and Applications
[6]  
BATTINI D, 2006, P 4 INT C SUPPL CHAI, P85
[7]   Performance analysis of conjoined supply chains [J].
Beamon, BM ;
Chen, VCP .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2001, 39 (14) :3195-3218
[8]  
Blackhurst J, 2004, INT J PROD RES, V42, P1639, DOI 10.1080/00207543310001646064
[9]  
Blecker Thorsten., 2004, P 9 INT S MANUFACTUR, P1
[10]   Analysing supply chain performance using a balanced measurement method [J].
Bullinger, HJ ;
Kühner, M ;
Van Hoof, A .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2002, 40 (15) :3533-3543