Forthcoming articles

International Journal of Business Performance and Supply Chain Modelling

International Journal of Business Performance and Supply Chain Modelling (IJBPSCM)

These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Business Performance and Supply Chain Modelling (2 papers in press)

Regular Issues

  • A group evaluation method for supplier selection based on interval type-2 fuzzy TOPSIS method   Order a copy of this article
    by Ashoke Kumar Bera, Dipak Kumar Jana, Debamalya Banerjee, Titas Nandy 
    Abstract: Supplier assessment is an important strategic decision of organizations for reducing operating costs, improvingrncompetitiveness and to develop business opportunities. However, the decision making related to the supplier selectionrnis usually a complex and unstructured activity. It involves the evaluation of various characteristics simultaneously suchrnas large number of alternatives, the multiple criteria involved in the evaluation process as well as the group of expertsrnwith diverse opinions. The existing literature shows several methods of selecting the right supplier. However, there existrnsome gaps in the available literature; therefore, it is essential to further develop the research. Thus, this study intendsrnto propose a framework using interval type-2 fuzzy (IT2F) TOPSIS method to evaluate and select the best suppliersrnfor an Indian spare parts manufacturing company. Seven important criteria namely price of the product, technologicalrncapability, relationship closeness, conformance to quality, conflict resolution capability, experience of suppliers andrnlead time are considered for evaluating suppliers. A practical analysis is carried out, and the data are collected fromrna set of 5 prospective suppliers. We use IT2F TOPSIS model for evaluation and ranking of the suppliers in an imprecisernenvironment. Results indicate that the major influencing criteria for supplier selection in the case company arernprice of product, technological capability, relationship closeness, conformance to quality and experience of supplier.rnThe advantage of using IT2F sets in the model considers the uncertain nature of the real world data and allows inputsrnto the model that have high uncertainty and gives a closer result to the reality and the effect of uncertainty is minimized.
    Keywords: Multiple criteria decision making; Supplier selection; Group decision making; Interval type-2 fuzzy sets; Interval type-2 Fuzzy TOPSIS.

  • Green Supply Chain Management: Learning from Indian Chemical Sector   Order a copy of this article
    by Tejas R. Shah 
    Abstract: The purpose of this paper is to understand current and desired status of the environmental responsiveness of supply chains in India. The objective of this study is to explore the framework for GSCM implementation in Indian context. A self-administered questionnaire was developed containing three parts, i.e., GSCM drivers, GSCM practices and GSCM performance. The total sample size was 180 consisting of MSMEs in chemical business. The dimensions for GSCM drivers, practices and performance were explored and their interrelationships were analyzed. It was found that GSMC drivers create significant impact on GSCM practices, which in turn creates significant impact on GSCM performance. Most relevant studies about framework for GSCM implementation has not addressed properly in Indian context. This new framework fills the gap of the absence of strategies for GSCM implementation in India.
    Keywords: Green supply chain management; GSCM drivers; GSCM practices; GSCM performance; environmental sustainability; supply chain management; India.