Forthcoming and Online First 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 Articles will not be published until the final proofs are validated by their authors.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 (3 papers in press)

Regular Issues

  • Identification and Classification of Construction Delay Causes in the Wastewater Treatment Projects   Order a copy of this article
    by Hodasadat Seyedrezaei, Ehsan Saghatforoush, Hamidreza Athari 
    Abstract: Delay in completion and operation of water and wastewater projects such as wastewater treatment plant, deteriorates national capital and increases the project costs. It causes pollution in groundwater, and consequently creates an environmental crisis and endangers public health. Despite the significance of understanding the project performance indicators, in the last decade, few empirical studies have been conducted to identify and analyze the delay causes in the construction phase of facility infrastructure projects such as wastewater treatment plants. This study is a qualitative research with a phenomenological approach. It aims to identify and classify construction delay causes in facility infrastructure projects with emphasis on wastewater treatment plants. At first, using the Systematic Literature Review (SLR) method, construction delay causes in facility infrastructure projects are collected and after conducting descriptive analysis, 8 main delay causes were identified. Kappa index was used to measure the reliability of the proposed model. Then, using the survey method through conducting semi-structured interviews with experts in this field and Thematic Data Analysis (TDA) of the content of interviews and assessing content validity and components of interviews with indices Content Validity Ratio (CVR) and Content Validity Index (CVI), 6 main themes of management, manpower & logistic, methodology, engineering & execution, errors and rework, and external factors are classified as the most significant construction delay causes in the wastewater treatment projects. These themes can be used by stakeholders and planners in the field of risk management to prevent delays, reduce operational risks. It also results in more optimal use of financial resources in response to risks in the construction phase with the aim of more effective management, correct decision-making and preventing waste of national capital.
    Keywords: Delay Causes; Construction Phase; Facility Infrastructure; Wastewater Treatment Projects; Systematic Literature Review (SLR); Thematic Data Analysis (TDA).

  • Solving Interval Integer Transshipment Problems with Rough Nature   Order a copy of this article
    by Akilbasha A, AnithaKumari T, Venkateswarlu B 
    Abstract: In this study, we concentrate on fully rough interval integer transshipment (RIIT) problems, where unit transportation costs, supply capacities, and required destination demands are all rough interval integers. Backward stepping is a sophisticated technique that has been created to address the fully RIIT problem. In comparison to other methods, the suggested method offers the best optimal solution. It also offers the best values for the decision variables and the objective function value for the fully RIIT problem, which are rough interval integers. The method for solving fully RIIT problem optimization is demonstrated with a numerical example. The suggested method's optimal solution to the transshipment problem can assist decision-makers in making the right choice regarding transshipments.
    Keywords: Rough interval integers; Transshipment problem; Optimal solution; Backward stepping method.
    DOI: 10.1504/IJAOM.2023.10054191
     
  • SUPPLY CHAIN IMPACT FROM ORDER LEAD TIME VOLATILITY: A COMPUTER-BASED SIMULATION APPROACH   Order a copy of this article
    by Martin Lockstrom 
    Abstract: The bullwhip effect (BWE) is a well-known phenomenon in supply chain management. Whereas past research has focused on factors like supply rationing, batch-size, lead-time etc., mainly from an analytical perspective. This paper broadens the research by specifically examining the impact from order lead time volatility, not only on demand (order size) but also on inventory levels and supply chain cost. The results confirm past research and brings new insights in the impact on component and compound bullwhip effect behavior across supply chain echelons by showing that order lead time volatility acts as a driver of BWE. Reducing BWE is a key lever for improving supply chain performance, and by extension, supply chain performance.
    Keywords: bullwhip effect; order lead time; uncertainty; simulation; supply chain dynamics.

 

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