Systematic Analysis of Packaging Production in the Electric Motors Industry: A Multi-Criteria Approach through the SAPEVO-M Method

Carlos Eduardo Loterio Matos, Miguel Ângelo Lellis Moreira, Maria Teresa Ribeiro Pereira, Carlos Francisco Simões Gomes, Marcos dos Santos and Francisco J. G. Silva ()
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Carlos Eduardo Loterio Matos: CIDEM, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal
Miguel Ângelo Lellis Moreira: CIDEM, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal
Maria Teresa Ribeiro Pereira: CIDEM, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal
Carlos Francisco Simões Gomes: Production Engineering Department, Fluminense Federal University (UFF), Rio de Janeiro 24210-346, Brazil
Marcos dos Santos: Production Engineering Department, Fluminense Federal University (UFF), Rio de Janeiro 24210-346, Brazil
Francisco J. G. Silva: CIDEM, ISEP, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida, 431, 4200-072 Porto, Portugal

Mathematics, 2024, vol. 12, issue 19, 1-22

Abstract: Market competitiveness drives the electric motors industry, which in turn necessitates the selection of optimal production scenarios, particularly in the context of packaging. This is crucial for maintaining competitiveness and meeting the rigorous quality and logistical demands that are characteristic of this industry. This paper presents a systematic analysis of the packaging production chain for electric motors, employing the SAPEVO-M method as a decision aid tool. The study examines various strategic options, including outsourcing and internalizing processes, with a particular focus on their impacts on logistics, quality control, and overall supply-chain efficiency. The research conducts a comprehensive evaluation of these strategies to ascertain the most effective approach for managing the complexities of packaging production. The SAPEVO-M method facilitated a structured decision-making process, allowing for the aggregation and prioritization of diverse criteria such as cost, quality, flexibility, environmental impact, and supply risk. A sensitivity analysis was performed to validate the robustness of the decision-making outcomes under varying alternatives. The findings highlight the benefits of internalizing certain processes, particularly the assembly (with a score of 43.27%), to gain direct control over production variables, leading to enhanced operational efficiency and product competitiveness. This paper contributes to the literature by demonstrating the application of MCDA in enhancing strategic decisions within the electric motors industry, providing insights for analyzing other manufacturing factors in the improvement of supply-chain processes.

Keywords: group decision-making; SAPEVO-M; insourcing; multi-criteria decision analysis (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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