Forthcoming articles


International Journal of Integrated Supply Management


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 Articles will not be published until the final proofs are validated by their authors.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


Regular Issues


  • Closed Loop Supply Chain for Glass Recycling: Current Practices and Challenges   Order a copy of this article
    by Amelia Carr, Joohyung Kim 
    Abstract: This study investigates the current glass recycling practices through the lens of environmental economics and supply chain management. The results of this exploratory study suggest that the closed loop supply chain for recycled glass is highly complex and that many factors besides physical costs play a role in an organizations decision to recycle glass. Further, despite the prevailing challenges of glass recycling, this study suggests that there are opportunities to divert used glass containers from landfills and improve the closed loop supply chain for recycled glass. These and other issues are discussed in this study as they relate to process efficiency and effectiveness in the closed loop supply chain for glass recycling.
    Keywords: Closed Loop Supply Chains; Recycling; Environmental Issues.

  • Celebrating the 10th volume of IJISM: A bibliographic review and outlook   Order a copy of this article
    by Christoph Glock, Anne Lange, Eric Grosse, Ajay Das 
    Abstract: The purpose of this paper is to evaluate research trends observed in the International Journal of Integrated Supply Management (IJISM) during its first ten volumes, which extend over a total of 175 research papers published between 2004 and 2016. The work at hand first develops a conceptual framework for classifying papers that appeared in IJISM. Papers are then assigned to the framework to identify popular research topics and research methodologies used, and to highlight publication patterns that could be observed in the first ten volumes of the journal. The paper concludes with an outlook on possible perspectives for the journal.
    Keywords: IJISM; journal review; journal evolution; content categories; classification framework; research trends; publication patterns.

  • Supplier Selection and Order Allocation using a Stochastic Multi-Objective Programming Model and Genetic Algorithm   Order a copy of this article
    by Hadi Moheb-Alizadeh, Morteza Mahmoudi, Rouhallah Bagheri 
    Abstract: In this paper, we develop a supplier selection and order allocation multi-objective model in stochastic environment in which purchasing cost, percentage of delivered items with delay and percentage of rejected items provided by each supplier are supposed to be stochastic parameters following any arbitrary probability density function. To do so, we use dependent chance programming (DCP) that maximizes probability of the event that total purchasing cost, total delivered items with delay and total rejected items are less than or equal to pre-determined values given by decision maker. After transforming the abovementioned stochastic multi-objective programming problem into a stochastic single objective problem using minimum deviation method, we apply a Genetic Algorithm to solve the later single objective problem. The employed Genetic Algorithm performs a simulation process in order to calculate the stochastic objective function as its fitness function. A stochastic analysis reveals that incorporation of stochasticity into the supplier selection and order allocation problem will be advantageous for a purchasing firm with respect to purchasing cost, percentage of delivered items with delay and percentage of rejected items. Furthermore, we explore the impact of stochastic parameters on the given solution via a sensitivity analysis exploiting coefficient of variation. The results show that as stochastic parameters have greater coefficients of variation, the value of objective function in the stochastic single objective programming problem is worsened.
    Keywords: Supplier selection; Order allocation; Dependent chance programming; Minimum deviation method; Genetic Algorithm.

  • How do supply chain risk management flexibility-driven strategies perform in mitigating supply disruption risks?   Order a copy of this article
    by Nunzia Carbonara, Roberta Pellegrino 
    Abstract: Despite the recognized great importance and theoretical diffusion of supply chain management strategies to mitigate risk, their application is still limited or, when present, it reveals somewhat effective or not effective at all. This research investigates the effectiveness of different supply chain risk mitigation strategies by evaluating how they perform in mitigating disruption risks and how such performance varies when strategies are applied under different conditions of supply disruption risks. We use a novel approach based on Real Options theory to model the operational flexibility of deciding whether exploiting or not the mitigation strategies if and when disruptions occur, and whenever such strategies prove valuable based on information available at that time. A computer simulation study is used to observe the impact of the adoption of four SCRM flexibility-driven strategies on overall net profit under varying conditions of supply disruption risks.
    Keywords: Supply disruption risks; Supply chain risk mitigation strategies; Real options; Flexibility.