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Analysis of balancing solutions for simple assembly lines

    1. [1] LASTIMI Laboratory, Mohammedia School of Engineers (EMI), Mohammed V University in Rabat, Rabat 765, Morocco Center of Excellence in Logistics (CELOG), School of Textile and Clothing (ESITH), Casablanca 7731, Morocco
    2. [2] Center of Excellence in Logistics (CELOG), School of Textile and Clothing (ESITH), Casablanca 7731, Morocco
    3. [3] Textile Engineering Laboratory, ISET Ksar Hellal, Monastir University, Ksar Hellal 5070, Tunisia
    4. [4] LASTIMI Laboratory, High School of Technology (EST), Mohammed V University in Rabat, Sale 227, Morocco
  • Localización: Journal of Industrial Engineering and Management, ISSN-e 2013-0953, Vol. 17, Nº. 3, 2024 (Ejemplar dedicado a: In process), págs. 828-852
  • Idioma: inglés
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  • Resumen
    • Purpose: Assembly Line Balancing (ALB) is critical to manufacturing efficiency and productivity. It involves assigning tasks to workstations to optimise performance while satisfying task priority and cycle time constraints. The Simple ALBP (SALBP) is a simplified version of the general problem that has received considerable research interest. Many academic works have been published on this topic, using a variety of methods, including exact, heuristic, and metaheuristic approaches. Therefore, the purpose of this research is to present a comprehensive evaluation of the literature on the methods used to solve the SALBP.Design/methodology/approach: A comprehensive literature review was conducted to identify, select, analyse, and summarise 126 papers on SALBPs. The study started with the selection of relevant keywords. The selected papers were then narrowed down using various criteria.Findings: The analysis showed that SALBP-1 and SALBP-2 are the most common types, with metaheuristic approaches being the most widely used. Despite extensive research, there is a significant need for studies focusing on SALBPs for multi- and mixed-models, particularly in the context of U-shaped and two-sided lines.Originality/value: This literature review contributes to the identification of key areas for improvement in the SALBP and provides insight into potential directions for future research.


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