Forthcoming articles


International Journal of Advanced Operations Management


These articles have been peer-reviewed and accepted for publication in IJAOM, 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 Articles will not be published until the final proofs are validated by their authors.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 Advanced Operations Management (6 papers in press)


Regular Issues


  • A Model for Measuring Success of an Organizational Management System   Order a copy of this article
    by Mohammad Ali Hatefi 
    Abstract: Today, businesses and industries have focused on projects of implementing management systems like strategic management, information systems, and project management. The literature on such systems shows that, in spite of their importance, a general success indicator has not significantly explored. Hence, the main goal of the current research study is to design an indicator to quantify the success of project through deeply assessment of key success factors. The proposed model takes into account four aspects of management systems: organization, human, software, and hardware. The opinions of a group of experts are elicited for identifying key success factors and weighting them. The proposed indicator is a valuable tool in the conceptual phase of any management system project. Taking a proactively notice to this indicator reduces the resource wastes and direct managers to start projects in a productive manner.
    Keywords: Organizational management system; Project success; Key success factor; Critical success factor; Eigen-vector; Pair-wise comparison.

  • Application of MOORA Method for Benchmarking Decision in Indian Industries   Order a copy of this article
    by Bhupender Singh 
    Abstract: The selection of decisions becomes multifaceted as decision makers in service environment have to evaluate a wide range of alternatives based on contradictory criteria. These decisions are more complicated as the numbers of attributes are dependent on critical success factors for particular industry. Thus in realistic problem for service industries, it is difficult to identify the benchmark model in competitive scenario to sustain superlative in their areas. Therefore, the constraint of novel and simple method that may recognize paramount decision for selection complementary to Multi Attitude Decision Making (MADM) methods. A multi-objective optimization on the basis of ratio analysis approach (MOORA) method is applied in this study where three different examples for MOORA application which consist of 1) Selection of best alternatives, 2) Ranking of Internal assessment for benchmarking in an industry and 3)Ranking of different types of benchmarking process as per their usage are considered. With applications of multi-objective optimization on the basis of MOORA, becomes easier as comparison to other MADM methods for solving diverse decision making problems in concurrent service environment which is sympathetic for executives in alternatives selection and their attributes to pursue benchmark.
    Keywords: MOORA; Benchmarking; Service Industries; Ranking; MADM.

  • Introducing a Bi-level model to optimize the distribution network design and assembly line balancing   Order a copy of this article
    by Reza Samizadeh, Sahar Vatankhah, Saedeh Aghagoli 
    Abstract: In this research, a Bi-level model was introduced to optimize the design of supply chain network and assembly line balancing. The three-level considered supply chain includes factories, assembly lines and customers. The factories produce the raw material needed for assembly lines to produce final products. The assembly lines produce final products and deliver them to customers to cover their demand. Also, these assembly lines balance their line simultaneously. The operation time for assembly line, the cost of operation and customer's demand were considered as uncertain variables. Finally, this model was run on some data to evaluate its capability.
    Keywords: Assembly line balancing; supply chain network; Bi-level programming; demand uncertainty.

    by Arsalan Najmi, Abraz Ahmed 
    Abstract: An increased market competition and customers changing preferences leading to the emergence of a need to involve relevant functions of supply chain as well as strategic customers and suppliers in the early stages of New Product Development. Therefore, this study examines the impact of supply chain involvement on new product development performance. Data was collected from 280 professionals from different departments of manufacturing companies in Pakistan who are engaged in the process of new product development and partial least square-structural equation model was applied. The results revealed that internal involvement is the base of external involvement including customers and suppliers, revealing insight into the "black box" of supply chain involvement. The research further emphasize on the fact that the companies should first improve internal involvement before they can accomplish external (i-e customer and supplier) involvement. Moreover, it is also recommended that organizations need to grow great connections, offer data, and tackle issues mutually among internal functions and with outside supply chain partners while developing new products. The study further discussed the results whereas directions for future researchers are also given.
    Keywords: Internal Involvement; Customer Involvement; Supplier Involvement; New Product Cost; New Product Speed; Market Performance.

  • Analysis of Barriers hindering the implementation of Reverse Supply Chain(RSC) of Electronic Waste (E-waste) in India   Order a copy of this article
    by Karishma Chodhary, Kaliyan Mathiyazhagan, Prem Vrat 
    Abstract: India is the fifth biggest producer of E-waste across the globe but still 95% of the E-waste in India is handled by the unorganized sector in an unscientific way severely impacting the environment and health. E-waste consists of toxic as well as valuable materials. Therefore, closing the loop of E-waste supply chain will have many social, economic and environmental benefits. This study aims to identify and analyze the barriers hindering the effective and efficient implementation of Reverse supply chain (RSC) of Electronic waste (E-waste) in India. Identification of the barriers is based on a comprehensive literature review and interaction with the experts. Interpretive Structural Modeling (ISM) methodology has been utilized to find out the mutual influences among the barriers and to stratify the barriers into four clusters namely: Autonomous, Dependent, Linkage and Independent. The analysis reveals: Legal issues, Lack of awareness as the major barriers which have the maximum driving power and act as Independent barriers. The study provides very useful insights to facilitate policy decisions to promote E-waste recycling in India like implementing monitoring and control systems across the E-waste supply chain, need for a dedicated E-waste agency to coordinate the E-waste activities, coordination among major stakeholders involved like consumers, collectors, producers, recyclers, manufacturers, tax exemption for recycling processes etc.
    Keywords: E-waste; Barriers; Drivers; Interpretive structure modeling; Transitivity; Reverse Supply Chain.

  • A novel method to handle route failure in Fuzzy Vehicle Routing Problem with Hard Time Windows and uncertain demand   Order a copy of this article
    by Sandhya Bansal, Rajiv Goel, Vijay Katiyar 
    Abstract: In this paper, a fuzzy vehicle routing problem with hard time windows (FVRPTW) having uncertain demand is addressed. Since customers demand is assumed to be known only upon arrival at customer location, a planned route may fail to meet realized demand of customer. This situation is known as route failure. Instead of adopting simple recourse methods to handle route failure, this paper proposes a novel method titled non restocking to solve route failure. The problem is formulated as a two stage recourse model with an objective of minimizing the total cost and at the same time maximizing the obtained sale in a competitive environment. Uncertainty in demand is represented by fuzzy numbers. Route construction for the modeled problem is done by Ant Colony System. The computational results show that the proposed two stage model with the proposed new recourse scheme produces high quality solutions. Benefits of the proposed method are demonstrated by applying it to milk routing problem.
    Keywords: Vehicle Routing Problem with time windows (VRPTW); Fuzzy theory; Uncertain demand; ACO; route failure; recourse policy.