Forthcoming articles

 


International Journal of Supply Chain and Operations Resilience

 

These articles have been peer-reviewed and accepted for publication in IJSCOR, 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 Articles will not be published until the final proofs are validated by their authors.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 Supply Chain and Operations Resilience (4 papers in press)

 

Regular Issues

 

  • Group Decision Making with Multi-Attribute Crisp and Interval Data and its Application to Supplier Selection Problem   Order a copy of this article
    by Mohammad Azadfallah 
    Abstract: This paper extends the Visekriterijumska Optimizacija I Komprosno Resenje (VIKOR) and the Technique for Order Preferences by Similarity to an Ideal Solution (TOPSIS) method for solving Multiple Attribute Group Decision Making (MAGDM) problems under crisp and interval data (particularly, VIKOR with crisp and interval data, and TOPSIS only with interval data). In continuation, three new Entropy-based approaches are introduced to determine the importance of decision makers (DMs) in group decision-making process. In addition, to determine the weights of the attributes, conventional entropy method with both crisp and interval data was used. Then, by using the weights of DMs, all individual decisions are aggregated into a collective decision. Finally, three numerical examples in supplier selection context are given to illustrate the feasibility and practability of the proposed MAGDM methods. In order to show the validation of the models a comparative analysis is done by comparing the results of the individual and average of all individual decisions with the extended models. The results indicate that the accuracy of the decision has been increased by considering the DMs weights.
    Keywords: MAGDM; VIKOR; TOPSIS; Entropy; Crisp and Interval Data; Supplier Selection Problem.

  • Compromise or complement? Exploring the interactions between sustainable and resilient supply chain management   Order a copy of this article
    by Raphael Karutz, Lukas Riedner, Lukas Stumpf, Luisa Robles Vega, Matthias Damert 
    Abstract: Supply chain management (SCM) increasingly needs to address both climate change mitigation and adaptation issues. While mitigation aims at sustainability by reducing the environmental impact of supply chains (SC), adaptation entails improving resilience by increasing the ability to cope with climate-induced disruptions. Although sustainable SCM (SSCM) and resilient SCM (RSCM) are of increasing importance, there has been little effort to conceptually connect SSCM and RSCM. Our study explores the interconnections between both concepts by outlining theoretical elements and conducting a case study of four companies in the automotive SC based on company documents and interviews. Results show that SSCM is prioritized over RSCM. We furthermore highlight trade-offs and overlaps between the elements of SSCM and RSCM, which can be valuable for decision-makers, and introduce two enabling factors: transparency and diversity. We present a novel theoretical SCM framework that integrates both resilience and sustainability perspectives and make propositions for future research.
    Keywords: supply chain management; sustainability; resilience; climate change; mitigation; adaptation; automotive industry; case study; content analysis.

  • Analyzing the circular economy opportunities in the French construction sector related to the sustainable supply chain: A Waste Input-Output Analysis   Order a copy of this article
    by Jean Pierre Doussoulin, Mariana Bittencourt 
    Abstract: The construction sector has long recognized the decisive role of the various phases of the building lifecycle in the global environment. The identification of the construction environmental impacts is a significant progress for the development of a sustainable supply chain related to the raw material consumption and the construction and demolition waste (C&DW) generation. In this sense, circular economics principles have solid potential to address these challenges in all European Union countries and especially in France. Nowadays, input-output (I/O) modeling covers the analysis of waste generation (WIO). As the supply chain of the building construction process is complex and has several related activities, and in a preliminary moment a conceptual model was developed, this approach provided an assessment of the mitigation actions of C&DW generation in France. This evaluation shows some positive waste reduction of several materials in the construction process, especially in concrete, metal, rock/rubble and sand/soil. However, the same study exhibits that even materials that can be recycled in the construction process, e.g. concrete, plastic, and metal, might not have a positive waste reduction during demolition due to the lack of proper waste separation and contamination during the process.
    Keywords: circular economy; input-output model; supply chain; waste management.

Special Issue on: CiLOG Quantitative Tools for Logistics Competitiveness from the Perspective of Supply Chain Management

  • Selecting the Best Local /Internal Logistic Service Provider in a Natural Disaster: A Game Theoretic Perspective in Relation to Flash Floods in Sri Lanka   Order a copy of this article
    by Shanaka Suren Rajakaruna, Chen Yan, A.W. Wijeratne 
    Abstract: In the light of increasing attention to humanitarian operations, logistics have taken an unprecedented turn in the humanitarian sector. Humanitarian Logistics (HL) has now become one of the significant factors in assisting any disaster. This paper presents a conceptual model to determine an evaluation method to find out the best logistic service provider (LSP) amongst the Local/Internal players in distributing aid. A game theory-based application model has been designed to select the best player. Variables which have an effect on performance were considered when developing the initial utility values. Model provides a pre-entry evaluation system, will assist various donors in effective management of delivery and distribution of humanitarian aid to recipients. The model was tested as a case study in a recent torrential rains and flash flood occurred in Sri Lanka. It is recommended to further test and improve this conceptual model to gain more effective results.
    Keywords: Humanitarian Logistics; Performance Measures; Game Theory; Sri Lanka.