Forthcoming articles


International Journal of Business Performance and Supply Chain Modelling


These articles have been peer-reviewed and accepted for publication in IJBPSCM, 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 Articles will not be published until the final proofs are validated by their authors.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


  • Supply Chain Performance Improvement within Collaborative Product Development Environment   Order a copy of this article
    by Syed Mehmood Hassan, Sharfuddin Ahmed Khan, Satya Shah 
    Abstract: The linkage between new product developments (NPD) with supply chain management (SCM) process gives an edge to improve performance in supply chain by launching new product. The main objective of the ongoing aspects of research is identifying important decision making points of NPD along with frameworks of SCM which are already existed in literature and guiding supply chain about the decision making in collaborative supply chain. By reviewing the literature existed in recent times regarding NPD, its performance management, while identifying gaps in currently used frameworks and highlighting key decision making points in collaborative supply chain linked to NPD. Methodology for NPD-SCM integration has been developed from the results from this study, which furthermore in line with complete enterprise instead of employing simply NPD processes.
    Keywords: Product development; Collaboration; Decision making; Supply chain management; improved performance; Performance measurement.

  • A fuzzy goal programming approach to solve a novel supply chain multi-objective mathematical model under uncertainty   Order a copy of this article
    by Ali Ghodratnama, Reza Hassannia, Abolfazl Mirzazadeh 
    Abstract: Increasing global concerns about the environmental impact of manufacturing activities has caused the supply chain managers think about changing production policies in order to incur less damage to the environment. In addition, to increase the level of service in the supply chain, it is always tried to not deliver orders earlier or later than the due date. In this paper, we have proposed a multi-objective model supply chain which aims to reduce costs, earliness/tardiness and CO2 emissions in the supply chain. To come close further to real-world situations, some of the parameters in proposed mathematical model are considered uncertain and in the form of fuzzy numbers as well. For solving this multi-objective fuzzy mathematical model, Jimenez method has been first used to convert model into the crisp one, afterward, fuzzy goal programming approach is performed to solve the multi-objective model. Finally, to demonstrate the performance of the proposed model, a numerical example is considered and the obtained results are investigated and analyzed meticulously.
    Keywords: Green supply chain; CO2 emission; Earliness and tardiness; Fuzzy goal programming.