Kazanç, Hande Cansın
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Kazanc, Hande Cansin
Kazanç, H.C.
Kazanç, H.C.
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Arş. Gör.
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ckazanc@cankaya.edu.tr
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Article Citation - WoS: 1Citation - Scopus: 1Dynamic Open Time-Dependent Traveling Salesman Problem With Speed Optimization(Wiley, 2024) Cimen, Mustafa; Soysal, Mehmet; Belbag, Sedat; Kazanc, Hande CansinIncreased awareness of people of the problems caused by CO2 emissions brings companies to consider environmental issues in their distribution systems. The rapid advance in technology allows logistics companies to tackle with dynamic nature of distribution networks (e.g., a change in the vehicle speed due to unexpected events). The planned routes at the beginning of the time horizon could be subject to modification at any point in time to account for the recent traffic information. This study addresses a dynamic open time-dependent traveling salesman problem. The problem also involves speed optimization that aims to find optimal vehicle speed in a dynamic setting by respecting real-time traffic conditions. We develop a mixed integer linear programming (MILP) formulation for the addressed problem to determine routing and vehicle speed decisions. Furthermore, a MILP-based myopic-clustering decomposition heuristic algorithm has been introduced to solve large-sized instances within reasonable solution times. The use of the heuristic algorithm provides decision-makers with a responsiveness capacity by enabling fast incorporation of dynamically observed data during operations. The numerical analyses demonstrate the potential benefits of employing the proposed tools.Article 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.Article Citation - WoS: 10Citation - Scopus: 10A Probabilistic Bi-Objective Model for a Humanitarian Location-Routing Problem Under Uncertain Demand and Road Closure(Wiley, 2025) Temiz, Sedanur; Kazanc, Hande Cansin; Soysal, Mehmet; Cimen, MustafaEffective planning and execution of humanitarian aid logistics activities ensure that disaster-related losses are minimized. This study addresses a tactical-level pre-disaster humanitarian logistics problem where a decision-maker decides on cross-dock locations by taking potential vehicle routes into account. A decision support model is proposed for the location selection and distribution operations in humanitarian logistics with explicit fuel consumption estimation. In the addressed problem, the demand amount of each node depends on probabilistic disaster scenarios. Probabilities of whether each arc/road is open or closed and heterogeneous vehicle fleet in terms of vehicle sizes are also respected. The model is formulated as probabilistic bi-objective mixed integer linear programming, whose objectives are minimization of the total cost (i.e., fuel cost, vehicle fixed cost, and fixed opening cost) and total travel time. To the best of our knowledge, the proposed decision support model is unique in terms of the features considered simultaneously. The applicability of the model is demonstrated by the case study and subsequent numerical analyses of a possible earthquake in the Kartal district of Istanbul. The proposed model is shown to have the potential to support decision-makers in preparation for a disaster. A solution approach based on a clustering algorithm has been also proposed to solve larger instances of the problem. The effectiveness of this heuristic has been demonstrated through its application to larger-scale problems.Article Heterojen Müşteri Segmentleri ve Talep Belirsizliği Varsayımlarıyla Ağ Tasarımı Problemi İçin Bir Model Önerisi(2023) Kazanç, Hande Cansın; Yavrucu, Erencan; Soysal, MehmetBu çalışmada, talep belirsizliği varsayımı altında aralarında yatay iş birliği bulunan üst düzey müşteriler, orta düzey müşteriler ve temel düzey müşteriler şeklinde heterojen müşteri segmentlerine sahip, dağıtım kanalı seçimi, dağıtım planlaması, envanter, aktarma ve atama kararlarını içeren ağ tasarımı problemine yönelik bir doğrusal tam sayılı programlama modeli geliştirilmiştir. Geliştirilen matematiksel modelin sunulmasının ardından, ele alınan ağ tasarımı problemi genel amaçlı bir çözücü kullanılarak bir örnek olay ve bu örnek olaydan türetilen farklı senaryolar için çözülmüştür. Ardından, örnek olay çözümü ve senaryo çözümlerine yönelik nümerik analizler yapılmış, modelin işlevselliği gösterilmiş ve belirlenen temel performans kriterleri üzerinden değerlendirmeler yapılmıştır. Nümerik analizler sonucunda, benzer karar süreçlerini içeren durumlarla karşılaşan karar vericiler için müşteri segmentasyonu ve yatay iş birliğinin önemi ortaya koyulmuştur. Üst düzey müşteriler arasında ve üst düzey müşterilerden orta düzey müşterilere ürün aktarımı seçeneğinin bulunmamasının toplam maliyeti yükselttiği görülmüştür. Bu sebeple, tedarik zinciri elemanları arasında kurulan yatay iş birliklerinin toplam ağ maliyetinde iyileşme sağladığı söylenebilmektedir.Article Citation - Scopus: 4Modeling 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.
