Browsing by Author "Kalkan, Elif Sena"

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    Mathematical Optimization and Fuzzy AHP for Efficient Warehouse Storage and Product Management
    (Springer Science and Business Media Deutschland GmbH, 2025) Bartu Çatal; Bartu Taskin; Atakan Bitik; Elif Sena Kalkan; Doğuhan Şen; Mert Paldrak; Bitik, Atakan; Taskin, Bartu; Catal, Bartu; Kalkan, Elif Sena; Sen, Doguhan; Paldrak, Mert; C. Kahraman , B. Oztaysi , S. Cebi , S. Cevik Onar , C. Tolga , I. Ucal Sari , I. Otay
    This study focuses on mathematical modeling and optimization solutions for storage problems specifically regarding warehouse shelving and product management. A mathematical model was developed to analyze the arrangement of shelves and products with the aim of maximizing efficiency and optimal space usage. In this model warehouse shelf placement and capacity constraints were determined while considering cost minimization and effective space utilization. The model was then solved using optimization tools. Additionally an ABC analysis was conducted to prioritize products within the warehouse employing the Analytic Hierarchy Process (AHP) method to rank the items based on their importance. The AHP method allowed for a systematic evaluation of criteria such as demand value and turnover rate enabling more efficient decision-making. The results of this study highlight the potential improvements in warehouse management offering a structured approach to both shelf arrangement and product prioritization. The proposed model and analysis method contribute to increasing operational efficiency reducing costs and optimizing logistical processes in warehouse management. © 2025 Elsevier B.V. All rights reserved.
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    Optimizing Warehouse Efficiency: A Structured Storage Framework Using ABC Analysis and Mathematical Modeling
    (Springer Science and Business Media Deutschland GmbH, 2025) Bartu Çatal; Bartu Taskin; Atakan Bitik; Elif Sena Kalkan; Doğuhan Şen; Mert Paldrak; Bitik, Atakan; Taskin, Bartu; Catal, Bartu; Kalkan, Elif Sena; Sen, Doguhan; Paldrak, Mert; C. Kahraman , B. Oztaysi , S. Cebi , S. Cevik Onar , C. Tolga , I. Ucal Sari , I. Otay
    This study investigates operational inefficiencies in the shipment warehouse of Visam Plastics A.Ş. including unstructured storage frequent loading errors and reliance on manual processes. These issues lead to delays incorrect shipments and inventory discrepancies negatively impacting customer satisfaction and operational efficiency. To address these challenges this study employs analytical tools such as ABC analysis and Fishbone Diagrams to identify root causes and develop systematic solutions. The primary objective is to implement a structured addressing system to optimize warehouse operations minimize errors and improve workflow efficiency. While this research focuses on warehouse inefficiencies and the formulation of an addressing framework future work will incorporate mathematical and simulation models to optimize transportation costs and warehouse utilization. The results of this study aim to establish a scalable and sustainable approach to warehouse management that enhances efficiency and accuracy at Visam Plastics. © 2025 Elsevier B.V. All rights reserved.