... energy sources that reduces the dependency on fossil fuels and supports the transition to a low-carbon energy system. Design/methodology/approach The main goal of this study is to design and optimize a sustainable and cost-effective green hydrogen supply chain network using solar energy and treated...

... 80% of global trade volume and 70% of its value. Given its critical role in the global supply chain, there is a pressing need for in-depth analyses and optimization through the application of Operations Research (OR) and Management Science (MS) methodologies in maritime logistics. In the MIRP...

... of defective products and inspection errors, with profit margins increasing as the number of reliable retailers increases. Originality/value The study reveals interaction effects between quality, inspection, credit and defaults that change optimal policies in nonobvious ways. Also, it enables answering...

... consistently outperforms SA in terms of optimality gaps and solution robustness. The findings highlight the practical viability of using metaheuristics in large-scale technician scheduling problems. Practical implications The proposed approach offers telecom service providers a flexible and scalable...

... and project managers evaluate various modularity and supplier scenarios, enabling the selection of the most cost-effective and time-efficient solutions for MC projects. Design/methodology/approach A generalized mixed-integer linear programming model was developed to optimize supplier selection...

... insufficient charging stations (CSs), long charging duration and tight freight delivery window for middle-mile electric trucks. Therefore, this paper aims to jointly optimize the scheduling of charging and platooning of electric trucks over the freight transportation network. Design/methodology/approach...

... to include considerations of justice and equity. Kasy and Abebe (2021) argued that alongside fairness, we should also consider the following: Finance Data analysis Optimization Business strategy Data analytics Business policy In their study, motivated by guidance on employment from...

... dynamically for distribution RIs and RKs at pre- and post-disaster phase, integrally? Humanitarian relief chain Network design Relief kit Resiliency Disruption Perishability Planning Optimization Supply chain management Mathematical programming Operations research Bozorgi-Amiri et...

...Houtian Ge; Jing Yi; Stephan J. Goetz; Rebecca Cleary; Miguel I. Gómez Purpose Using recent US regional data associated with food system operations, this study aims at building optimization and econometric models to incorporate varying influential factors on food hub location decisions...

...@gmail.com 17 04 2024 09 06 2024 22 06 2024 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Decision making Optimization Financial analysis Game theory Game theory has been a widely credited economic concept since its...

... in the number of articles tackling supply chain optimization (SCO) issues with a significant concentration of the contributions in a relatively small cluster of authors, journals, institutions and countries. Among the many important findings, our analysis indicates that mixed-integer linear programming...

.... Under such conditions, updating decisions has a crucial impact on the continued success of the supply chains. Optimization models have traditionally relied on estimated average input parameters, making it challenging to incorporate real-time data into their framework. Findings The proposed dynamic...

...Niharika Varshney; Srikant Gupta; Aquil Ahmed Purpose This study aims to address the inherent uncertainties within closed-loop supply chain (CLSC) networks through the application of a multi-objective approach, specifically focusing on the optimization of integrated production and transportation...

... distance. The linear programming-metric technique and grasshopper optimization algorithm are applied to survey the model's applicability and efficiency. Findings This study compares noncollaborative and collaborative cases in terms of the number of applied distribution centers and RSC's goals...

... and reverse flows of a closed-loop network in supply chains (Xie et al., 2017). Mohammed et al. (2017) optimized total cost and environmental impact for designing a multi-product and multi-period model in which the trade-off between total cost and environmental effects is examined. Paydar...

.../methodology/approach A robust optimization approach is used to deal with the effects of uncertainty, and a mixed-integer nonlinear programming multi-objective model is proposed. The first objective function seeks to minimize inventory costs, such as ordering costs, holding costs and carrying costs. It also...

...Somayeh Najafi-Ghobadi; Jafar Bagherinejad; Ata Allah Taleizadeh Purpose The effect of customers’ forward-looking behavior on firms’ profit has been highlighted by many researchers and practitioners. This study aims to develop a mathematical model for new generation products to analyze the optimal...

... 25 09 2019 02 02 2020 06 05 2020 20 08 2020 10 01 2021 18 01 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Optimization Inventory management Mathematical programming Inventory routing problem IRP...

.... This matter propelled us to make a novel distinction between the probability of return estimated from appropriate buybacks offered to consumers, and the actual return rate of used products using fuzzy mathematical methods. Besides that, a compatible robust fuzzy optimization method has been implemented...

... Publishing Limited Licensed re-use rights only Decision-making Logistics Optimization Heuristics Routing Attended home delivery problem Iterated local search Dynamic routing Public distribution system India The public distribution system (PDS) in India evolved as a system...