Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/11727/4809

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Subject: search.filters.subject.multi-objective optimization

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    A Hybrid Simulated Annealing For A Multi-Objective Stochastic Assembly Line Balancing Problem
    (2008) Cakir, Burcin; Dengiz, Berna; Altiparmak, Fulya; Xia, GP; Deng, XQ; 0000-0003-1730-4214; AAF-7020-2021
    Asssembly line balancing is the problem of assigning tasks to the workstations, while optimizing one or more objectives without violating restrictions imposed on the line. In practice, task times may be random due to the worker fatigue, low skill levels, job dissatisfaction, poorly maintained equipment, defects in raw material, etc. When stochastic task times are taken consideration in assembly lines, balancing procedure is more complex due to the probability of incompleteness of stations times in a given cycle time. In this study, a multi-objective simulated annealing algorithm (m_SAA) is proposed for single-model, stochastic assembly line balancing problem with the aim of minimizing of smoothness index and total design cost. To obtain Pareto-optimal solutions, m_SAA implements tabu list and a multinomial probability mass function approach. The effectiveness of the proposed m_SAA is comparatively investigated using another SA using weight-sum approach on the test problems. Computational results show that m_SAA with multinomial probability mass function approach is more effective than SA with weight-sum approach in terms of quality of Pareto-optimal solutions.
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    A Multi-Objective Mathematical Model for Level of Repair Analysis with Lead Times and Multi-Transportation Modes
    (2022) Bicakci, Ismail; Ic, Yusuf Tansel; Karasakal, Esra; Dengiz, Berna; https://orcid.org/0000-0001-9274-7467; AGE-3003-2022
    In the event of failure of the product, level of repair analysis (LORA) is used to determine (1) whether the defective component should be discarded or repaired and (2) where this repair is made. In the literature, these repair operations are made with the aim of minimizing the total life cycle cost of the product. In this paper, we develop a multi-objective decision model that minimizes both the repair time (affected by lead times) and the repair costs. Our proposed model also considers the movement of the defective components to be performed by multiple transportation modes such as highway, railway, and airway. We use the epsilon constraint method to generate the Pareto frontier and analyze the trade-off between total repair costs and total repair time. We demonstrate the approach on an example problem.
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    A Multi-Objective Credit Evaluation Model Using MOORA Method and Goal Programming
    (2020) Ic, Yusuf Tansel
    The selection process of a suitable credit applicant firm becomes a more complex decision making process as the decision makers in the banking industries have to assess a wide range of firms based on a set of conflicting financial ratios. This study investigates the new model of the multi-objective optimization on the basis of ratio analysis and the goal programming method together to solve credit lending decision making problems for firms as frequently encountered in real-time commercial banking environments. A multi-objective credit evaluation model is developed to use in all the stages of the credit evaluation process.