Browsing by Author "Dogan, Gurkan"

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An Integrated Decision-Making Framework to Evaluate the Route Alternatives in Overweight/Oversize Transportation
(Pergamon-Elsevier Science Ltd, 2026) Gorcun, Omer Faruk; Kundu, Pradip; Kucukonder, Hande; Dogan, Gurkan; Tirkolaee, Erfan Babaee; 01. Kadir Has University; Business Administration
Overweight and oversized transport (O&OT) has become one of the most critical elements of project logistics, driven by advancements in transportation and lifting technologies that now allow high-volume loads to be moved across long distances. This type of transportation operation, also called abnormal transportation, is greatly affected by technical factors such as the weight and geometry of the load, road surface, axle load limitations, slope, and ground strength, as well as external variables such as weather conditions, traffic density, and legal regulations. In planning and operational processes, Decision-Makers (DMs) and practitioners who plan and execute operations without adequately considering these factors and variables can lead to delays in operations, serious risks, and loss of productivity. This research proposes a flexible decision support model that integrates Step-wise Weight Assessment Ratio Analysis (SWARA) and Logarithmic Percentage Change-driven Objective Weighting (LOPCOW), and a ranking technique; i.e., Mixed Aggregation by Comprehensive Normalization Technique (MACONT) techniques to address the decision problems related to route selection, one of the most critical problems in transporting heavy and bulky loads, and to produce reasonable solutions. The proposed model significantly reduces information losses by processing subjective and objective information and integrating subjective (SWARA) and objective (LOPCOW) methods. Unlike traditional ranking approaches, the MACONT method combines three different normalization techniques to determine the ranking performance of alternatives. In this way, it provides more reliable and accurate results by reducing the deviations of the results provided by the single normalization technique. In addition, it shows each alternative's good and bad performance compared to the others and is more convincing about the results obtained. According to the results obtained by applying the proposed model, fuel consumption (0.096) is determined as the most effective and critical factor in selecting the route on which heavy and bulky loads will be transported. In this context, choosing routes that allow lower fuel consumption can contribute to reducing carbon emissions and external costs arising from transportation. The extensive robustness and validation check to test the proposed model prove that the proposed model is a reliable, robust, and practical decision-making tool for making reasonable and rational decisions in O&OT.
Citation - WoS: 16
Citation - Scopus: 20
Mobile Crane Selection in Project Logistics Operations Using Best and Worst Method (bwm) and Fuzzy Measurement of Alternatives and Ranking According To Compromise Solution (marcos)
(Elsevier, 2023) Gorcun, Omer Faruk; Dogan, Gurkan; Business Administration; 01. Kadir Has University
Statistics on occupational accidents published by international organizations show that mobile cranes are the riskiest heavy equipment among all crane types. The most significant reason for these crane accidents is the decision-makers' wrong selection of mobile cranes. Making misevaluations and selecting improper mobile cranes can cause many problems besides mobile crane accidents. In addition, selecting a mobile crane is a highly complicated decision-making problem, as there are many conflicting criteria and uncertainties. Besides, no commonly accepted criteria set is used to solve this decision-making problem in the literature. The current paper proposes the fuzzy BWM (Best and Worst Method) and fuzzy MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) combination as a robust and practical decision-making tool that can overcome many complicated ambiguities. The suggested model has been applied to solve a mobile crane se-lection problem encountered by a large-scale project logistics and heavy transport company in Turkey. The acquired outcomes demonstrated that technical criteria are more influential than economic and quality criteria. The criterion Maximum hoist height in the technical criteria group is the most influential factor in selecting the best mobile crane option. In addition, the A1 Brand-L. 4.2 is the most appropriate alternative to meet the company's requirements. Finally, a comprehensive sensitivity analysis performed to test the validity and applicability of the model approves the robustness of the model.