Download PDFOpen PDF in browserAnalysis of Product Life Cycle Performance Strategies: MOORA MethodEasyChair Preprint 1445612 pages•Date: August 14, 2024AbstractProduct Life Cycle Management (PLM) is the process of managing the entire life cycle of a product, from its conception through design and manufacturing to service and disposal. In order to validate the product life cycle classification ranking method, the Multi-Objective Optimization by Ratio Analysis (MOORA) method was applied. This demonstrated the significance of each item within each phase of PLM, which can vary depending on specific factors to be considered by the organization. Thus, the combination of the traditional PLM concept and the application of the MOORA method enables organizations to understand the dynamics of their products more comprehensively, making strategic decisions more effective, based on various criteria and specific goals. The results revealed that the PLM phase leading the final ranking was the introduction phase. This finding validates the applicability of the method, allowing for the identification of growth and financial return criteria as highlights. Study limitations may arise from market dynamics, the definition of weights for decision criteria, which are independent and may vary from one organization to another, and the ability of PLM to accurately predict a product's performance over time. The study's contribution and originality lie in the integration of PLM management and the MOORA method, which together allow for the rapid, standardized, and precise classification of criteria. Although the greatest challenges are market complexity and fierce competition, organizations can overcome obstacles and stand out uniquely in their product management strategies by applying them to other problem contexts. This can be achieved by conducting new comparisons and evaluations, using different parameters and significant criteria, as well as experimenting with other Multiple-Criteria Decision-Making (MCDM) methods. Keyphrases: MOORA, Multi-criteria methods, PLM Ranking
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