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 Articles will not be published until the final proofs are validated by their authors.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 (5 papers in press)

Regular Issues

  • Sustainability 4.0 in the Fashion Industry: a Systematic Literature Review   Order a copy of this article
    by Marcella Fernanda Vieira Ottoni Bezerra Da Silva, Fagner José Coutinho De Melo 
    Abstract: This paper aims to identify the factors that affect Sustainability 4.0 in the fashion industry through a systematic literature review (RSL). To carry out the RSL, the Web of Science and Scopus databases were used, with a time limit between the years 2017 and 2022. The RSL identified 26 papers considered a relevant contribution to the construction of knowledge about the researched topic. From these papers, 46 factors were listed that affect Sustainability 4.0 in the fashion industry, based on the dimensions established by the triple bottom line (TBL) theory, with 19 factors linked to the economic dimension, 12 to the social dimension and 15 to the environmental dimension. The paper concludes that a synergistic relationship was observed between the listed factors and the subject studied. Thus, this article offers a new contribution to the literature, providing data for different audiences, leading them to sustainable and technological development.
    Keywords: sustainable development; fashion industry; digital transformation; Industry 4.0; sustainability.
    DOI: 10.1504/IJAOM.2023.10060875
     
  • Optimising production scheduling decisions in flowshop manufacturing cells for a sportswear manufacturing case   Order a copy of this article
    by Sebastian Cáceres-Gelvez, Martín Darío Arango-Serna, Julian Zapata 
    Abstract: This paper aims to reduce makespan and total weighted tardiness (TWT) by applying a cellular manufacturing system (CMS) approach based on formulations for the flowshop group scheduling problem (FSGSP) to the sewing area of a sportswear manufacturing company in Colombia. The main contribution of this paper is the application of recent FSGSP models to a novel case study in the apparel industry. As part of the methodology, two FSGSP models framed in a CMS environment were proposed based on the literature review. In addition, a genetic algorithm (GA) was developed to evaluate this application in terms of makespan and TWT. The results showed that the proposed approach completely reduced the total tardiness penalty costs and 56.23% for makespan compared to the current state. These results seek to promote the application of models and techniques for addressing the lack of productivity, high waste, and customer dissatisfaction in this Colombian industry.
    Keywords: flowshop group scheduling; cellular manufacturing; genetic algorithm; apparel industry; total weighted tardiness; TWT; makespan.
    DOI: 10.1504/IJAOM.2023.10063266
     
  • Healthcare quality: applying a SERVUSE model   Order a copy of this article
    by Payam Mahmoudian, Hossein Ebrahimipour, Hassan Doosti, Reza Vafaee Najar, Hajar Haghighi, Elaheh Hooshmand, Seyede-Elahe Hosseini 
    Abstract: The aim of this study was to evaluate service quality that is provided in hospitals affiliated to Mashhad University of Medical Sciences based on SERVUSE model in 2018. In this cross-sectional study, 130 cardiac surgery patients of three hospitals were being investigated using SERVUSE questionnaire. The questionnaire had six dimensions include: tangibles, reliability, responsiveness, assurance, empathy and usability. The validity was being approved through the content validity and its reliability by using Cronbach's alpha. Data have been analysed by SPSS software. The gap between patient perceptions and expectations were as follows: tangibility (0.52), usability (0.23), reliability (0.22), assurance (0.21), responsiveness (0.11) and empathy (0.06) and a significant relationship between expectations and perceptions and variables such as behavioural intention, perceived quality and satisfaction. (p-value: 0.001). Managers should pay more attention to improve the physical environment of hospitals, utilise proper equipment in order to reduce quality gaps.
    Keywords: quality of service; SERVUSE; patient preference; hospital; Iran.
    DOI: 10.1504/IJAOM.2023.10064056
     
  • Application of Lexicographic Goal Programming Technique to Tackle Production Planning Problem in the Dairy Manufacturing Sector   Order a copy of this article
    by Zahid Amin Malik, Rakesh Kumar, Govind Pathak, Mohd Azhar Ud Din Malik, Haridas Roy 
    Abstract: Dairy manufacturing sectors are everywhere, and as such, this manufacturing sector has a mammoth influence on the planet. It has been illustrated as a leading provincial activity toward the economic development of numerous countries. These dairy manufacturing sectors usually face a lot of problems in production planning while producing different varieties of products. One of the traditional approaches to encountering production planning problems is to develop mathematical modelling as a decision support tool. Hereby, in this study, the lexicographic goal programming model is developed in the dairy manufacturing sector to tackle the production planning problem. This model aims to find the optimal production with the minimal available requirements. A case study is presented to illustrate this model in the production process. The important results are drawn by standard computer software packages. The obtained results show that all the desired goals in the dairy manufacturing sector are achieved.
    Keywords: mathematical modelling; decision support system; lexicographic goal programming; dairy manufacturing sector; production planning.
    DOI: 10.1504/IJAOM.2024.10064801
     
  • The Role of Switching Cost in Third-Party Logistics   Order a copy of this article
    by Adnan Taha, Paul Lewis Reynolds 
    Abstract: The dynamics of logistics outsourcing relationships between partners are a crucial study area. This research investigates the power dynamics between third-party logistics (3PL) providers and customers in the UK, focusing on the impact of power on customer satisfaction, conflict, opportunism, and the influence of switching costs in business-to-business (B2B) relationships. The study employed a quantitative methodology, gathering data through a questionnaire survey. Analysis of 202 questionnaires revealed several correlations: switching costs were positively associated with non-coercive power and negatively associated with coercive power. Non-coercive power was linked to higher satisfaction, while coercive power was associated with lower satisfaction. In addition, non-coercive power was associated with reduced conflict, while coercive power increased the likelihood of conflict. Similar associations were found concerning opportunism. The exercise of coercive power, reward, and legitimate power by 3PL providers increased the possibility of opportunism, while referent and information power decreased opportunism in the relationship.
    Keywords: third-party logistics; coercive-power; non-coercive power; satisfaction; conflict; opportunism.
    DOI: 10.1504/IJAOM.2025.10065330