International Journal of Advanced Operations Management (7 papers in press)

Regular Issues

• An Order Level Optimal Inventory Policy for Weibull Distributed Deteriorating Items Varying with Generalised Demand, Shortages and Permissible Delay in Payments  
  by Rojalin Behera, Trailokyanath Singh, Sudhansu Sekhar Routray, Sonali Swetapadma Nayak 
  Abstract: The main purpose of this study is to formulate an optimal ordering policy for deteriorating items with shortages within the EOQ (Economic Order Quantity) framework satisfying the following characteristics: 1) inventory system deals with only one type of item; 2) demand is continuous and quadratic function of time in nature; 3) deterioration rate follows a special type of Weibull distribution function; 4) the complete backlogged shortages are allowed to occur in the proposed model; 5) grace periods in payment are permissible during the inventory cycle. The quadratic demand function justifies the demand pattern of seasonal products as well as newly launched items arriving in the market. Depending upon the positions of the grace period and the shortage time point, the model is derived into two main circumstances: Policy I: grace period is less than or equal to the shortages time point and Policy II: grace period is greater than the the shortage time point. Finally, a couple of numerical examples and sensitivity analysis of optimal solutions for illustration are provided.
  Keywords: Deteriorating items; Grace periods; Inventory; Shortages; Time-dependent quadratic demand pattern; Two-parameter Weibull density function.
  DOI: 10.1504/IJAOM.2025.10068842
   
  
• Employers' Satisfaction in the Recruitment Process Outsourcing (RPO) Environment: a Study of the Industrial Sector  
  by Poonam Kaushik 
  Abstract: This article aims at first identify the most vital factor that influence the customer satisfaction in the RPO environment and then find the perception of customer regarding RPO in the industrial sector. The sample has been collected from 400 respondents (200 customers each from service and manufacturing sector) for the study, by using convenience sampling method. For this purpose, analysis was done by using descriptive statistics, confirmatory factor analysis through AMOS software and independent sample t-test. After analysis, it is found that relationship quality is the most significant factor that influences customer satisfaction in Recruitment Process Outsourcing (RPO) in the industrial sector among four factors recruitment operations, service quality, relationship quality and service level agreement. Significant difference was found among customer perception towards Recruitment Process Outsourcing (RPO) regarding service quality and relationship quality across type of industry.
  Keywords: RPO; Customer satisfaction; Manufacturing Sector; Service Sector; India.
  DOI: 10.1504/IJAOM.2025.10069273
   
  
• Enhancing Behavioural Supply Chain Management: a Study of Trust, Culture, and Spirituality Effects  
  by Amarjeet Singh, Sunita Singh-Sengupta 
  Abstract: This research aims to enhance the theoretical framework of behavioural supply chain management by integrating principles from psychology and supply chain management. It examines the influence of trust, culture, and spirituality on supply chain systems through both qualitative and quantitative methods. A literature review established the theoretical foundation, while a survey of 565 Indian professionals provided data analysed using SPSS and SMART PLS. Additionally, expert interviews offered qualitative insights. Findings reveal that trust and culture significantly impact behavioural outcomes and supply chain performance, with spirituality acting as a mediator. Despite its contributions, the study acknowledges limitations, such as a semi-systematic literature review and a narrow focus on selected behavioural factors. Future research should explore additional dimensions for a more holistic understanding. By integrating psychology with supply chain management, this study provides valuable insights for practitioners seeking to enhance effectiveness and sustainability in supply chain operations.
  Keywords: Supply Chain Management; Trust. Culture; Spirituality; Behavioural Outcomes; Supply Chain Performance; Psychology.
  DOI: 10.1504/IJAOM.2025.10070027
   
  
• Identifying the Effects of Green Market Orientation and Environmental Dynamism in Improving Green Product Innovation  
  by Zuoming Liu, Kejin Qu, Chunhui Wang, Huaqing Wang 
  Abstract: Green product innovation has been strategically used to address increasing concerns regarding the adverse effects of business behaviours for sustainability. It is urgent for many managers to find effective ways to increase green product innovations. A conceptual model is proposed to analyse the green product innovation of an organization by studying the direct effect of green market orientation and identifying its antecedents. Moreover, environmental dynamism is analysed regarding its role of moderation. The conceptual model is empirically analysed employing a dataset including 231 large companies collected from China using non-probability sampling. This study makes contributions to the literature by identifying ways of enhancing an organisation's green innovation by structuring its green market orientation under the scenarios of certain environmental dynamism. The outcomes of this study are also informative for business managers to direct their investment for sustainable product innovations.
  Keywords: Green market orientation; green product innovation; environmental dynamism.
  DOI: 10.1504/IJAOM.2025.10070745
   
  
• Development of Web-Based Portal for Research Synthesis on Scheduling of Batch Processors and Simple Meta Analysis  
  by M. Vimala Rani, M. Mathirajan 
  Abstract: This study develops a Web-based Portal on scheduling of batch processors (SBP) to synthesize the entire published research articles in this area and appropriately disseminate the same to research communities. This portal captures the vital parameters of each published SBP article and stores them in a database. Accordingly, the complete details of 315 published research articles on SBP are stored in the database. From this portal, users can get the list of research articles on SBP based on a predefined general query, and user's customised query. Further, user can add his/her published research article and/or send the update request to administrator. The administrator validates it and then adds/modifies the corresponding record in the database. Moreover, users can view the pre-defined simple meta-analysis of diffusion furnaces (BP) in semiconductor manufacturing industry based on Machine environment, Nature of scheduling, Performance measures, Methodology, Data source used, Benchmark procedure considered, journal, publisher, and year.
  Keywords: Web-based portal; Batch processors; Batch Processing Machines; Research Synthesis on Scheduling of Batch processors; Meta analysis.
  DOI: 10.1504/IJAOM.2025.10071831
   
  
• Mathematical Modelling and Nature-Inspired Metaheuristics for Solving the Football Team Selection Problem.  
  by Soukaina Laabadi, Mohamed Nezar Abourraja 
  Abstract: The football team selection (FTS) problem consists of selecting performant players from a squad under given constraints to form an optimal team. Many relevant solutions have been developed, however the literature review revealed that metaheuristic-based solutions are scarce although their well-known effectiveness in solving selection problems. To fill this gap, first, this paper develops a 0/1 linear programming model incorporating financial limitations, age considerations, and injury status as constraints. Second, to solve it, CPLEX optimisation tool and two nature-inspired algorithms are employed, namely the Binary Particle Swarm Optimization (BPSO) and Genetic Algorithms (GAs). Then, experiments are conducted using data from the 2022 FIFA World Cup, specifically focusing on the big four. The results demonstrate that both BPSO and GAs yield promising outcomes that outperform those of CPLEX, closely aligning with real-world data, particularly when considering team performance as a key factor in achieving victory. The proposed approaches offer valuable insights into optimising FTS; ultimately it can be generalised to other multi-player sports.
  Keywords: Football; player selection; team formation; 0/1 linear programming; genetic algorithms; binary particle swarm optimisation.
  DOI: 10.1504/IJAOM.2025.10072025
   
  
• A Two-Warehouse Inventory Model of Deteriorating Products with Preservation Technology Investment and Carbon Emission  
  by Nipa Biswas, Shubham Priyadarshi, Om Prakash 
  Abstract: This paper presents a two-warehouse inventory model for deteriorating items with time-dependent non-linear demand, preservation technology, and carbon emissions. Investing in preservation technology helps reduce deterioration effects, and shortages are assumed to be fully backlogged to make the model more realistic. The objective of this model is to maximize overall profit by determining the best ordering strategy and replenishment time. An algorithm is presented to find the optimal solutions. Some numerical examples are provided to support the established model, and sensitivity analysis is conducted of key parameters to examine the impact on the decision variables, order size, and total profit. The proposed approach is further illustrated through a graphical depiction of the optimal solution. The findings show that reducing carbon emissions from holding, transporting, and deteriorating items boosts the retailer's order quantity and total profit.
  Keywords: Inventory; Time-dependent demand; Backorder; Two-warehouses; Preservation technology; Carbon emission.
  DOI: 10.1504/IJAOM.2025.10072251