Measuring horizontal collaboration intensity in supply chain: a graph-theoretic approach

被引:21
作者
Anand, G. [1 ]
Bahinipati, Bikram K. [1 ]
机构
[1] Kozhikode IIMK, Indian Inst Management, Quantitat Methods & Operat Management Area, Kozhikode 673570, Kerala, India
关键词
semiconductor supply chain; horizontal collaboration; collaboration intensity; graph theory; SELECTION DECISIONS; HIERARCHY PROCESS; MODEL; RISK; TQM;
D O I
10.1080/09537287.2011.642164
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Supply chain (SC) collaboration is the prerequisite for successful procurement and operational business practices for short life cycle products, especially due to competitive marketplace, globalisation and rapid change of technologies. This study focuses on the semiconductor industry as the case industry to demonstrate the evaluation of horizontal collaboration among the SC partners. It uses a graph-theoretic framework to comprehensively assess the intensity of collaboration with respect to individual horizontal collaboration initiatives. This framework considers the interdependencies and inheritances among the critical collaboration attributes to analyse the complex and unstructured problem of determining compatibility among competing suppliers. A compatibility measure, termed as horizontal collaboration intensity (HCI), is developed to assess the relationships among these evaluation attributes and evaluate the success of the collaboration initiative. An illustrative example using a focus group case study from a semiconductor industry demonstrates the applicability of the proposed framework for the measurement of horizontal collaboration initiative.
引用
收藏
页码:801 / 816
页数:16
相关论文
共 46 条
[11]   Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle [J].
Chang, SL ;
Wang, RC ;
Wang, SY .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2006, 100 (02) :348-359
[13]   Horizontal cooperation in logistics: Opportunities and impediments [J].
Cruijssen, Frans ;
Cools, Martine ;
Dullaert, Wout .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2007, 43 (02) :129-142
[14]   Supplier selection or collaboration? Determining factors of performance improvement when outsourcing manufacturing [J].
Dabhilkar, Mandar ;
Bengtsson, Lars ;
von Haartman, Robin ;
Ahlstrom, Par .
JOURNAL OF PURCHASING AND SUPPLY MANAGEMENT, 2009, 15 (03) :143-153
[15]   Mapping supply chains on risk and customer sensitivity dimensions [J].
Faisal, Mohd Nishat ;
Banwet, D. K. ;
Shankar, Ravi .
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2006, 106 (5-6) :878-895
[16]   Quantification of risk mitigation environment of supply chains using graph theory and matrix methods [J].
Faisal, Mohd Nishat ;
Banwet, D. K. ;
Shankar, Ravi .
EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING, 2007, 1 (01) :22-39
[17]   A digraph approach to TQM evaluation of an industry [J].
Grover, S ;
Agrawal, VP ;
Khan, IA .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2004, 42 (19) :4031-4053
[18]  
Grover S., 2005, International Journal of Management Practice, V1, P131, DOI 10.1504/IJMP.2005.007132
[19]   Role of human factors in TQM: a graph theoretic approach [J].
Grover, Sandeep ;
Agrawal, V. P. ;
Khan, I. A. .
BENCHMARKING-AN INTERNATIONAL JOURNAL, 2006, 13 (04) :447-468
[20]   A goal programming model for partner selection decisions in international joint ventures [J].
Hajidimitriou, YA ;
Georgiou, AC .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2002, 138 (03) :649-662