Title of article
Horizontal collaboration in semiconductor manufacturing industry supply chain: An evaluation of collaboration intensity index
Author/Authors
Bikram K. Bahinipati *، نويسنده , , Arun Kanda، نويسنده , , S.G. Deshmukh، نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 2009
Pages
16
From page
880
To page
895
Abstract
This paper aims to provide a generic quantitative model to comprehensively assess the degree of collaboration
with individual horizontal collaboration initiatives with a view to check feasibility for satisfying
the customer requirements. The analytic hierarchy process–fuzzy logic model (AHP–FLM) approach is
chosen for developing the model, a method that is often used to tackle complex strategic decision making
that calls for subjective judgment based on well-established logical reasoning, rather than on simple feeling
and intuition. In the process, the complex and unstructured problem for ‘compatibility test’ is broken
down into elements, and then a customized hierarchy structure is set up to demonstrate the relationship
between different hierarchy levels and among these elements. Each element may have a different level of
importance for the horizontal collaboration. A fuzzy rule based collaboration intensity index (CII) is
developed to build up the relationships among these evaluation attributes. Synthesizing the generic relative
importance and the forecasted degree of collaboration, the proposed approach can determine the
success of the collaboration initiative. An illustrative example of a semiconductor industry supply chain
(SSC) member that intends to partner with a potential and competing candidate enterprise is developed
to demonstrate the applicability of the proposed fuzzy strategic alliance selection framework and to measure
the effectiveness of a horizontal collaboration initiative.
Keywords
Semiconductor industry supply chain , AHP–FLM , Horizontal collaboration , Compatibility test
Journal title
Computers & Industrial Engineering
Serial Year
2009
Journal title
Computers & Industrial Engineering
Record number
925752
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