| Autor: |
Sana El Machouti, Mustapha Hlyal, Jamila El Alami |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Scientific African, Vol 26, Iss , Pp e02378- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2468-2276 |
| DOI: |
10.1016/j.sciaf.2024.e02378 |
| Popis: |
To satisfy the changing requirements of the market, a manufacturer must be able to produce a large number of products in small quantities. This involves the simultaneous production of several models on a single production line, which is called a mixed-model assembly line (MiMAL). This study focuses on MiMALBP type E with worker allocation (MiMALBP-E-wa). The purpose of this study is to determine the best combination of workers (workstations) and cycle time to maximize line efficiency. To address this issue, a Hybrid Reactive Greedy Randomized Adaptive Search Procedure (HR-GRASP) has been developed.To demonstrate the efficacy of HR-GRASP, an illustrative example is presented, in which eight workers are allocated between two models. Moreover, a comparison is made with another metaheuristic algorithm, the Genetic Algorithm (GA), to evaluate the proposed approach. The results demonstrate that the HR-GRASP method not only achieved maximum line efficiency but also converged more rapidly than the GA method. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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