Person: KÖSE KÜÇÜK, MERVE
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KÖSE KÜÇÜK
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MERVE
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Publication Allocation of temporary disaster-response facilities for relief-supplies distribution: A stochastic optimization approach for afterdisaster uncertainty(Asce-amer Soc Civil Engineers, 2021-02-01) Çavdur, Fatih; Köse-Küçük, Merve; Sebatli, Aslı; ÇAVDUR, FATİH; KÖSE KÜÇÜK, MERVE; Sebatli, Aslı; Bursa Uludağ Üniversitesi/Endüstri Mühendisliği Bölümü; 0000-0001-8054-5606; 0000-0001-6877-2937; 0000-0002-9445-6740; AAC-2099-2020; AAG-9471-2021; AAE-4504-2019; JYP-7925-2024In disaster operations management, the prepositioning of relief supplies might improve the efficiency of the corresponding operations significantly. Developing new strategies based on this idea for relief-supplies distribution operations might also provide great benefits because it allows the utilization of local resources in the critical time period after the occurrence of a disaster. Such local resources can be utilized to serve disaster victims until the arrivals of their central counterparts, usually organized by a governmental humanitarian organization. It is noted that two-stage stochastic programs provide a nice modeling framework for allocating disaster-response facilities for relief-supplies distribution in which facility allocation and service decisions are performed in the first and second stages, respectively. Although such a modeling framework is employed in a recent study for allocating temporary disaster-response facilities, it has some limitations in terms of representing the stochastic nature of the problem. In this paper, to point out these limitations, we extend the approach presented in the corresponding study by increasing the number of scenarios in the stochastic program via a more comprehensive scenario construction approach that considers the destructive effects of a disaster. In particular, we compute arrival time probabilities conditioned on disaster levels by modifying the mode parameter of a discrete-triangular mass function accordingly to represent different afterdisaster situations in the proposed scenario construction approach. A detailed case study to illustrate the extended approach is presented. It is noted from the results that considering the destructive effects of a disaster allows us to make new observations about the problem.Publication A two-phase binary-goal programming-based approach for optimal project-team formation(Taylor & Francis, 2019-04-03) Çavdur, Fatih; Sebatlı, Aslı; Köse-Küçük, Merve; Rodoplu, Çağla; ÇAVDUR, FATİH; Sebatlı, Aslı; KÖSE KÜÇÜK, MERVE; Rodoplu, Çağla; Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü.; 0000-0001-8054-5606; 0000-0002-9445-6740; 0000-0001-6877-2937; JYP-7925-2024; AAG-9471-2021; AAC-2099-2020; AAE-4504-2019; DOA-2442-2022This study presents a two-phase binary-goal programming-based approach for solving a novel system design project-team formation problem which involves several restrictions and requirements as well as the preferences of the potential team members. The problem instance considered in this study basically includes two types of allocations, as the allocations of students and academic advisers, which are performed in the first and second phase of the proposed solution approach, respectively. Although it represents a particular case as represented in this study, it can be easily generalised to be used for solving similar project-team formation problems. We implement our methodology on a real-life problem in an academic institution and compare our solutions to the real-life allocations performed manually. It is noted that, in terms of satisfying the goals of the problem, our approach significantly outperforms the real-life allocations. In addition, computational results show our model's ability to solve similar-sized real-life problems in reasonable time periods on an average personal computer, implying its potential for significant savings in terms of the human resources available.Publication A scenario-based decision support system for allocating temporary-disaster-response facilities(Gazi Üniversitesi, Mühendislik Mimarlık Fakültesi, 2021-01-01) Çavdur, Fatih; Sebatli-Sağlam, Aslı; Köse-Küçük, Merve; ÇAVDUR, FATİH; Sebatli-Sağlam, Aslı; KÖSE KÜÇÜK, MERVE; Bursa Uludağ Üniversitesi/Endüstri Mühendisliği Bölümü; 0000-0002-9445-6740; 0000-0001-6877-2937; AAC-2099-2020; JYP-7925-2024; AAE-4504-2019Disaster operations management is carried out in a chaotic environment under uncertainty and time pressure. Therefore, it is necessary to use information and communication technologies in the decision making processes. In this study, a standalone decision support system is developed for temporary-disaster-response facilities allocation for relief supplies distribution as one of the important problems in disaster operations management. The decision support system consists of three main components as its database, decision engine and user interface. It is noted that the decision support system allows decision makers to allocate temporary-disaster-response facilities under many different disaster situations by utilizing a scenario-based approach. Thus, disaster operations managers are given the opportunity to create different scenarios and analyze the results that will help them make critical decisions before and during the disaster. In the scenario definition process, in addition to taking into account different values of affected population rate and planning period, some model configurations consisting of the combinations of various problem parameters are also defined. Although it is illustrated with a specific example case in this paper, the flexibility of the system allows its users to consider other cases with different scenarios. Due to the user-friendly interface of the decision support system, reports of the results obtained for various disaster scenarios are presented to the user in an understandable way. The proposed system might be a useful tool to help decision makers in allocating temporary-disaster-response facilities for relief supplies distribution.Publication A spreadsheet-based decision support tool for temporary-disaster-response facilities allocation(Elsevier, 2020-04-01) Çavdur, Fatih; Sebatlı Sağlam, Aslı; Köse-Küçük, Merve; ÇAVDUR, FATİH; Sebatlı Sağlam, Aslı; KÖSE KÜÇÜK, MERVE; Bursa Uludağ Üniversitesi/Endüstri Mühendisliği Bölümü; 0000-0001-8054-5606; 0000-0002-9445-6740; 0000-0001-6877-2937; AAC-2099-2020; AAE-4504-2019; JYP-7925-2024; AAG-9471-2021In this study, we present a spreadsheet-based decision support tool for allocating temporary-disaster-response facilities for relief supplies distribution. The tool developed in this study mainly consists of three main components as its database, decision engine and user interface. We develop the tool to run on a spreadsheet environment rather than producing a standalone application by aiming at providing more convenience for the user to perform tasks such as data manipulation and reporting. The paper also presents an example case for illustration. The tool allows the user (i.e., decision makers) to allocate temporary-disaster-response facilities under many different after-disaster situations (scenarios) considering the possible uncertainties to occur after a disaster (i.e., different affected population rates, planning periods etc.). Although we present some example cases in the paper for illustration purposes, the flexibility of the tool allows its users to consider other cases with many other scenarios. The tool can be used to help decision makers for allocating temporary-disaster-response facilities for planning relief supplies distribution operations.