Yazar "Al-Zubaidi, Sawsan S. A." seçeneğine göre listele

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    Cell formation and layout design using genetic algorithm and TOPSIS: A case study of Hydraulic Industries State Company
    (Public Library Science, 2024) Dhayef, Dhulfiqar Hakeem; Al-Zubaidi, Sawsan S. A.; Al-Kindi, Luma A. H.; Tirkolaee, Erfan Babaee
    Cell formation (CF) and machine cell layout are two critical issues in the design of a cellular manufacturing system (CMS). The complexity of the problem has an exponential impact on the time required to compute a solution, making it an NP-hard (complex and non-deterministic polynomial-time hard) problem. Therefore, it has been widely solved using effective meta-heuristics. The paper introduces a novel meta-heuristic strategy that utilizes the Genetic Algorithm (GA) and the Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) to identify the most favorable solution for both flexible CF and machine layout within each cell. GA is employed to identify machine cells and part families based on Grouping Efficiency (GE) as a fitness function. In contrast to previous research, which considered grouping efficiency with a weight factor (q = 0.5), this study utilizes various weight factor values (0.1, 0.3, 0.7, 0.5, and 0.9). The proposed solution suggests using the TOPSIS technique to determine the most suitable value for the weighting factor. This factor is critical in enabling CMS to design the necessary flexibility to control the cell size. The proposed approach aims to arrange machines to enhance GE, System Utilization (SU), and System Flexibility (SF) while minimizing the cost of material handling between machines as well as inter- and intracellular movements (TC). The results of the proposed approach presented here show either better or comparable performance to the benchmark instances collected from existing literature.
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    Similarity coefficient and TOPSIS methods for designing flexible machine cell layout: a case study of electrical and electronic industries
    (Springer, 2024) Dhayef, Dhulfiqar Hakeem; Al-Zubaidi, Sawsan S. A.; Al-Kindi, Luma A. H.; Tirkolaee, Erfan Babaee
    The design of a Cellular Manufacturing System (CMS) involves several important considerations, two of which are Cell Formation (CF) and Machine Cell Layout (MCL). Despite the crucial role of CMS adoption, current optimization models fall short in dealing with layout design flexibility. Before tackling flexible layout design, it is important to address CF design through effective CMS design. A proposed solution is the implementation of an interactive CF approach that offers high flexibility in MCL design. This approach has been demonstrated through the development of a Similarity Coefficient (SC) method with a variable Threshold Value (TV). In this study, a new heuristic approach for CMS utilizes the Euclidean Distance Matrix and designs SC by using a different TV that integrates with the Technique of Order Preference Similarity to the Ideal Solution to provide a flexible layout configuration for CMS. The objective of the suggested approach is to organize machines in a way that minimizes the cost of material handling between machines as well as intercellular and intracellular movements, while also increasing Grouping Efficacy, System Flexibility, and System Utilization. The developed approach effectively treated a real-life problem at a state company for electrical and electronic industries in Baghdad, Iraq. Implementing this approach in the case successfully achieved the expected outcomes. Furthermore, the study suggests expanding the approach to address additional design concerns in CMS, including alternative layouts, production planning, group scheduling, and reliability.