Browsing by Author "Soysal, M."

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Citation - Scopus: 0
Enhanced Warehousing Operations Through Platform-Driven Horizontal Collaboration Between Service Providers and Customers
(Bentham Science Publishers, 2025) Cerçi, M.; Kazanç, H.C.; Soysal, M.; Belbag, S.
Introduction: This study is a research article. The study investigates the problem of customer assignments to existing warehouses within the scope of supply chain management, aiming to achieve cost savings and operational efficiency in warehouse operations. Specifically, the customer assignment problem is modeled under the assumptions of horizontal collaboration, utilization of a shared digital infrastructure, fair distribution, and cold chain logistics. These assumptions are applied within a framework consisting of clusters of service receivers and service providers. Objective: This research aims to assess the impact of horizontal collaboration, common digital infrastructure, cold chain logistics, and fair income distribution assumptions on assignment problems under the title of warehouse management. Methods: A decision support model is proposed for the assignment problem under the title of warehouse management. This model incorporates the key assumptions and operational parameters to optimize customer assignments under varying scenarios. Results: The findings obtained from the study reveal that in the presence of horizontal collaboration among service providers, the costs of service providers are minimized, the demands of service receivers are met more, the profit obtained from service receivers increases, and the number of warehouses used increases. Under the assumption of fair distribution, it has been observed that cold warehouses contribute more to the total profit, in other words, the income obtained per volume of warehouses, since they generate more income compared to standard warehouses. Conclusion: This study highlights the benefits of fostering horizontal collaboration and fair income distribution among supply chain actors through a shared online platform. The results underscore the potential for improving profit levels, meeting customer demands more effectively and optimizing warehouse utilization. These insights provide valuable guidance for decision-makers aiming to enhance supply chain efficiency and equity. © 2025 The Author(s). Published by Bentham Open.
Citation - Scopus: 3
Modeling heterogeneous fleet vehicle allocation problem with emissions considerations
(Bentham Science Publishers, 2021) Kazanç, H.C.; Soysal, M.; Çimen, M.
Aims: This study proposes a bi-objective linear integer programming model for heterogeneous fleet VAP with emissions considerations. Profit maximization and emissions minimization objectives are employed to handle economic and environmental sustainability purposes. Background: Our literature survey shows that there is no model for the heterogeneous fleet VAP with emissions considerations that simultaneously consider vehicle heterogeneity, penalty costs for unmet demands, and emissions from transportation operations. Objective: The model is employed to also make several scenario analyses on sustainable freight logistics management to understand the trade-offs among economic and environmental objectives. In freight transportation problems, decision-makers need to be able to maintain profitability and to reduce emissions. Methods: In this study, a bi-objective linear integer programming model is proposed for a heterogeneous fleet Vehicle Allocation Problem (VAP) with emissions considerations encountered in the field of sustainable freight transportation. Results: In the numerical analyses, various practical assumptions that can be confronted by decision-makers in real life are discussed. In each analysis, total profit and emissions amounts are revealed along with several other KPIs. The results of the analyses provided in this study could also be useful in terms of understanding the relations among pillars of sustainability in VAPs. Conclusion: It is thought that the proposed model has the potential to aid decision-making processes in sustainable logistics management. In the base case analyses, the total profit obtained under profit maximization is about nine times higher than that obtained under emissions minimization. When the aim is to minimize emissions, the total emissions are found to be nearly one-tenth of that of profit maximization. Supported by also additional scenario analyses, it can be concluded that it might not economically viable to be environmentally-friendly for companies. Therefore, companies have to be encouraged or forced to take environmentally and socially responsible actions through legislation. The analyses demonstrated that various legislative policies on emissions may affect the transportation plans differently in such vehicle allocation systems. © 2021 Kazanç et al.