Forthcoming Articles

International Journal of Advanced Operations Management

International Journal of Advanced Operations Management (IJAOM)

Forthcoming 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 Articles will not be published until the final proofs are validated by their authors.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 Advanced Operations Management (4 papers in press)

Regular Issues

  • Literature Review and Simple Meta-Analyses on Deterministic Scheduling of Burn-in Ovens in Semiconductor Manufacturing   Order a copy of this article
    by Dhaval Pujara, M. Mathirajan 
    Abstract: This study systematically reviews the existing research studies on deterministic scheduling of burn-in ovens (D-SBO). Based on the screening process, 140 studies on D-SBO, published during the years 1992 to May 2024, are identified. Identified studies are grouped by proposing multiple classification schemes w.r.t. various parameters of D-SBO research problem, which provides micro-level details about each study. Further, simple meta-analyses are performed by considering the results of classification schemes and parameters associated with studies on D-SBO. The outcomes of classification schemes explain the scope of research in D-SBO, in terms of unexplored/not-attempted research problem configurations, scheduling objectives, and solution methodologies for D-SBO. Meta-analyses presented in this paper provide useful information to know about evolution and trends in DSBO research w.r.t. research problem configurations, problem solving approaches, scheduling objectives, maximum problem size consideration, benchmark procedures, data sources, and sources of publishing relevant studies. This study would facilitate further research in D-SBO.
    Keywords: Burn-in Ovens; Deterministic Scheduling; Semiconductor Manufacturing; Classification Schemes; Literature Review; Meta-Analysis.
    DOI: 10.1504/IJAOM.2026.10074995
     
  • Qualitative Research Approach to gain an In-Depth Understanding of the Use of Heuristics in Project Risk Management of Agile Projects   Order a copy of this article
    by Anand Lokhande 
    Abstract: The nature of complexity and pace of software development projects managed using agile methodologies acquire a high-risk potential due to their inherent nature. The risks that a project faces can change over time; hence risk management should be able to adapt to these changes. Risk management practices in agile projects differ from project to project and the project circumstances like the product requirements, experience of the project manager and the skills of the team members. The paper highlights, through exploratory and qualitative research and data analysis, the importance of heuristics in risk management activities. Through systematic literature review and qualitative research, the paper provides all project management practitioners with an understanding on how heuristics approach plays an important role in risk management practices. The primary purpose of this paper is to study how the risk management process in agile software development projects is impacted by heuristics based on certain parameters.
    Keywords: Agile project management; risk management; heuristics optimisation approach; risk mitigation; project management; project risk management; heuristics-based risk management.
    DOI: 10.1504/IJAOM.2026.10075334
     
  • Interval DEA-Based Dynamic Productivity Assessment of Air Routes: A Chengdu Case Study   Order a copy of this article
    by Xintian He, Tianxiong Zhang 
    Abstract: This study introduces a novel Malmquist index measurement method based on interval DEA to improve the accuracy of dynamic efficiency evaluations in the aviation industry. Traditional DEA-based Malmquist models often fail to address data uncertainty, leading to limited insights under fluctuating conditions. By incorporating interval data, the proposed method better captures variability and uncertainty in input-output values, resulting in more robust and realistic efficiency assessments. An empirical analysis of airline routes in Chengdu, China (20162020), validates the methods effectiveness, showing its ability to reveal changes in decision-making unit (DMU) efficiency and key influencing factors over time. The findings demonstrate that this approach can support airlines and policymakers in optimising route planning and operational management, particularly in the face of market uncertainties and competitive pressures.-
    Keywords: Data Uncertainty; Interval DEA; Interval Malmquist Index; Improved Direction.
    DOI: 10.1504/IJAOM.2026.10076115
     
  • A Generalized Sustainable EOQ Model for Deteriorating Complementary Products: Carbon Tax Approach and Green Investment Focus   Order a copy of this article
    by Amarat Rathod, Kunal Shukla, Dharmesh Katariya 
    Abstract: This study aims to compare inventory decisions with and without implementation of green investment under carbon emission for two or more complementary products. These complementary products are assumed to be deteriorating. The generalised framework for n number of complementary products is presented for two scenarios: 1) with green investment; 2) without green investment. This framework is illustrated through numerical examples for three complementary products and the optimality of the objective function is validated though the Hessian matrix method and also presented graphically. The finding of the study demonstrates to compare the influence of green investment strategies, on the economic, environmental, and social pillars of sustainability in the retail industry. Scenario 1 yields a higher profit on green investment and lower carbon emissions compared to scenario 2. Additionally, we compare the numerical results of scenarios 1 and 2 and validate the model outcomes through sensitivity analysis and graphical representation.
    Keywords: Complementary Products; Deterioration; EOQ; Green Investment; Carbon Emission.
    DOI: 10.1504/IJAOM.2026.10076206