Partner selection in agile supply chains: a fuzzy intelligent approach

Wu, Chong; Barnes, David

doi:10.1080/09537287.2013.766037

Cited by 42 publications

(27 citation statements)

References 82 publications

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“…Although the concept of the ASC has become increasingly important for achieving a competitive edge in rapidly changing business environments (Wu and Barnes, 2014;Power et al, 2001), definitions of ASC and responsive supply chain (RCS) differ in literature. Fisher (1997) defines responsive processes as those that can "respond quickly to unpredictable demand in order to minimise stock-outs, forced markdowns and obsolete inventory".…”

Section: Feis and Agile Supplymentioning

confidence: 99%

Supply chain integration strategies in fast evolving industries

Sabet

Yazdani

Leeuw

2017

IJLM

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Purpose -The purpose of this paper is to define the "fast evolving industry" (FEI) and its supply chain management (SCM) challenges. The authors review and structure the literature regarding integration strategies and implementation methods to develop a strategic decision-making framework for SCM in the FEI. Design/methodology/approach -The authors conduct a review of SCM literature, including supply chain strategy, supply chain integration (SCI), agile and responsive supply chain and SCM for innovative and fastchanging industries. The authors develop a conceptual model and a decision-making framework and use four mini cases to provide support for the model and framework. Findings -The FEI, characterised by a high level of innovation and differentiation, short products/services lifecycle and high variety, is yet to be fully defined. Inherent uncertainty in FEI supply systems makes SCM in these industries a complex but strategic task for their managers. The framework and the model offered in this study, which employ a core competency concept and provide risk management strategies, offer a strategic tool for managers and scholars in the field to optimise their integration strategies and to operationalise integration decisions. Originality/value -Little research has been published on transferable and cross-industrial SCM in FEIs. This paper defines the FEI and its resource-related concerns and then offers a conceptual model and a strategic decision-making framework for SCI in FEIs.

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Section: Feis and Agile Supplymentioning

confidence: 99%

Supply chain integration strategies in fast evolving industries

Sabet

Yazdani

Leeuw

2017

IJLM

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“…Thus, as the partner selection for reverse logistics centres problem has many uncertainties, focusing only on quantitative information, means that decision-making is bound to have a greater risk of bias. The use of FST enables imprecise and vague judgements and/or information on the potential partners to be more easily defined, collected, and processed (Wu and Barnes 2014). This is beneficial as these distinctive characteristics and advantages enable the proposed model to consider the imprecise and vague judgements inherent in environment and social attributes simultaneously rather than deterministic economic attributes alone.…”

Section: The Fuzzy Artificial Immune Optimization Model For Partner Smentioning

confidence: 99%

“…The purpose of the sensitivity analysis is to examine the effect of specified parameters on the final results (Wu and Barnes 2014). This research increases and decreases the key parameters of the fuzzy artificial immune optimization model, respectively.…”

Section: Sensitivity Analysismentioning

confidence: 99%

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Partner selection for reverse logistics centres in green supply chains: a fuzzy artificial immune optimisation approach

Barnes

2016

Production Planning & Control

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Abstract:The design of reverse logistics networks has now emerged as a major issue for manufacturers, not only in developed countries where legislation and societal pressures are strong, but also in developing countries where the adoption of reverse logistics practices may offer a competitive advantage. This paper presents a new model for partner selection for reverse logistic centres in green supply chains. The model offers three advantages. Firstly, it enables economic, environment, and social factors to be considered simultaneously. Secondly, by integrating fuzzy set theory and artificial immune optimization technology, it enables both quantitative and qualitative criteria to be considered simultaneously throughout the whole decision-making process. Thirdly, it extends the flat criteria structure for partner selection evaluation for reverse logistics centres to the more suitable hierarchy structure. The applicability of the model is demonstrated by means of an empirical application based on data from a Chinese electronic equipment and instruments manufacturing company.

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“…The two additional factors (5 and 6 above) ensure that economic as well as environmental objectives are incorporated into the criteria chosen for GSC construction as firm's will wish to optimize economic as well as environmental performance (Sha and Che 2006, Luo et al 2009, Sosic 2011, Cui et al 2012, Wu and Barnes 2014.…”

Section: ) Operations and Financial Capability 6) Partnership And Tementioning

confidence: 99%

Partner selection in green supply chains using PSO – a practical approach

Barnes

2016

Production Planning & Control

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Partner selection is crucial to green supply chain management as the focal firm is responsible for the environmental performance of the whole supply chain. The construction of appropriate selection criteria is an essential, but often neglected prerequisite in the partner selection process. This paper proposes a three-stage model that combines Dempster-Shafer belief acceptability theory and particle swarm optimization technique for the first time in this application. This enables optimization of both effectiveness, in its consideration of the inter-dependence of a broad range of quantitative and qualitative selection criteria, and efficiency in its use of scarce resources during the criteria construction process to be achieved simultaneously. This also enables both operational and strategic attributes can be selected at different levels of hierarchy criteria in different decision-making environments. The practical efficacy of the model is demonstrated by an application in Company ABC, a large Chinese electronic equipment and instrument manufacturer.

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Partner selection in agile supply chains: a fuzzy intelligent approach

Cited by 42 publications

References 82 publications

Supply chain integration strategies in fast evolving industries

Supply chain integration strategies in fast evolving industries

Partner selection for reverse logistics centres in green supply chains: a fuzzy artificial immune optimisation approach

Partner selection in green supply chains using PSO – a practical approach

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