This book opens a fresh chapter in the debate on local enterprise clusters and their strategies for upgrading in the global economy. The authors employ a novel conceptual framework in their research on industrial clusters in Europe, Latin America and Asia and provide new perspectives and insights for researchers and policymakers alike.

Governance in global value chains

Analytic Hierarchy Process (AHP) is a broadly applied multi-criteria decision-making method to determine the weights of criteria and priorities of alternatives in a structured manner based on pairwise comparison. As subjective judgments during comparison might be imprecise, fuzzy sets have been combined with AHP. This is referred to as fuzzy AHP or FAHP. An increasing amount of papers are published which describe different ways to derive the weights/priorities from a fuzzy comparison matrix, but seldomly set out the relative benefits of each approach so that the choice of the approach seems arbitrary. A review of various fuzzy AHP techniques is required to guide both academic and industrial experts to choose suitable techniques for a specific practical context. This paper reviews the literature published since 2008 where fuzzy AHP is applied to decision-making problems in industry, particularly the various selection problems. The techniques are categorised by the four aspects of developing a fuzzy AHP model: (i) representation of the relative importance for pairwise comparison, (ii) aggregation of fuzzy sets for group decisions and weights/priorities, (iii) defuzzification of a fuzzy set to a crisp value for final comparison, and (iv) consistency measurement of the judgements. These techniques are discussed in terms of their underlying principles, origins, strengths and weakness. Summary tables and specification charts are provided to guide the selection of suitable techniques. Tips for building a fuzzy AHP model are also included and six open questions are posed for future work.

A review of fuzzy AHP methods for decision-making with subjective judgements

Sustainable supplier selection: A novel integrated fuzzy best worst method (F-BWM) and fuzzy CoCoSo with Bonferroni (CoCoSo’B) multi-criteria model

This paper is a summary of the major technical report of the IFAC/IFIP Task Force on Architectures for Integrating Manufacturing Activities and Enterprises. It presents a synopsis of the investigations of pertinent architectures undertaken, and the findings generated relating to the suitability of various architectures for the integration task. It also presents the Task Force's recommendations for achieving a “complete” architecture in terms of the necessary capabilities by “completing” a currently available architecture. The Task Force also outlined how a “best” architecture could be achieved by selecting and combining the best features of the available architectures.

Architectures for Integrating Manufacturing Activities and Enterprises

Sustainable supplier selection for smart supply chain considering internal and external uncertainty: An integrated rough-fuzzy approach

A fuzzy decision tool to evaluate the sustainable performance of suppliers in an agrifood value chain

The transition of existing food value chains towards greater sustainability is a societal imperative and a potential competitive factor. To succeed, some actors in the chains define new practices to establish common sustainability goals. To date, there is little evidence that the visions and values of the various actors in the chains have been leading to common solutions. This work explores the impact of collaboration on the value chain actors’ ability to jointly decide strategies for redesigning their activities. It reports on an empirical approach, which elicits the values and priorities of different stakeholders. The case takes place in the context of a value chain of the production/processing/sale of pork products. This value chain involves two French production-processing and redistribution cooperatives. Stakeholders were questioned about their prioritization of sustainability issues and these weights were applied to evaluate 12 animal feed solutions that vary in terms of the composition and geographical origin of rations, and the means and locations of their production. The results show that despite several years of cooperation, the objectives of the upstream and downstream actors remain different. The objectives of the upstream actors are driven by the economic difficulties of production and those of the downstream actors by the multiplicity of consumer demands and cost control objectives. In a reversal of the current practice marked by the economic difficulties of the actors upstream of the chain, an integrated culture could be led by bottom-up approaches to create a shared vision. Public policy would be then essential in regulating the sharing of value among actors; and in promoting chain models that help the required investments.

Facilitating Aligned Co-decisions for More Sustainable Food Value Chains

Innovation steps in complex products often go hand in hand with the selection of suppliers. The suppliers are involved in the development of innovative elements of products, supplementing the capabilities of companies. Strategic relationships are established with these suppliers, where the companies need them to be flexible and willing to adapt to changing demands. Flexibility is usually evaluated against a variety of indicators. However, a high score on flexibility does not guarantee cooperative suppliers. Companies also require power to get a supplier to be flexible. They need suppliers who are malleable to their changing needs that are an inevitable part of design processes. The empirical study at a leading European engine company reported in this paper shows that the relative power between companies and suppliers influences the responsiveness of suppliers to requests. This paper analyses malleability as a combination of flexibility and relative power. It unpacks power and flexibility into sets of measurable indicators and proposes a tool which assesses both the relative power between buyer and supplier and the supplier’s flexibility, to provide a malleability index, which indicates to what extent a supplier is suitable to work with.

Yan Liu

Papers

A review of fuzzy AHP methods for decision-making with subjective judgements

A fuzzy decision tool to evaluate the sustainable performance of suppliers in an agrifood value chain

Facilitating Aligned Co-decisions for More Sustainable Food Value Chains

Assessing Suppliers for Complex Products from the Perspective of Power

A global framework of activities integrating product & supply chain design