Modeling Multi-Model Multi-Robotic Disassembly Line Balancing Problem

The multi-model multi-robotic disassembly line balancing problem (MM-MRDLBP) aims to optimize disassembly operations in sustainable manufacturing. This study tackles this problem by minimizing the number of robots required to implement the disassembly operations in the disassembly area, where several robots in the disassembly line disassemble the end-of-life (EOL) products. A mathematical model is utilized as an optimization tool to minimize the number of required robots during different periods. The EOL products are assigned to be disassembled in the line in a multi-model, where different EOL products could be assigned to be disassembled on the line simultaneously. Optimizing the number of robots reduces the system’s total cost. It also leads to the creation of a flexible smart system. The findings help the decision-makers to determine the best combination of EOL products that the minimal number of robots could disassemble during different periods.

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Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.09.234
Primary Topic
Manufacturing Process and Optimization
Type
article
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0.00
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article

Modeling Multi-Model Multi-Robotic Disassembly Line Balancing Problem

Alanood A. Alsarayreh, Najat Almasarwah, Jenan Abu Qadourah, Rula Alrawashdeh
IFAC-PapersOnLine
Manufacturing Process and Optimization
article

Modeling Multi-Model Multi-Robotic Disassembly Line Balancing Problem

Alanood A. Alsarayreh, Najat Almasarwah, Jenan Abu Qadourah, Rula Alrawashdeh
article en

Abstract

The multi-model multi-robotic disassembly line balancing problem (MM-MRDLBP) aims to optimize disassembly operations in sustainable manufacturing. This study tackles this problem by minimizing the number of robots required to implement the disassembly operations in the disassembly area, where several robots in the disassembly line disassemble the end-of-life (EOL) products. A mathematical model is utilized as an optimization tool to minimize the number of required robots during different periods. The EOL products are assigned to be disassembled in the line in a multi-model, where different EOL products could be assigned to be disassembled on the line simultaneously. Optimizing the number of robots reduces the system’s total cost. It also leads to the creation of a flexible smart system. The findings help the decision-makers to determine the best combination of EOL products that the minimal number of robots could disassemble during different periods.

IFAC-PapersOnLineVol. 59(10)
Mutah University (JO)
Openalex Percentile: Top 63%
Manufacturing Process and Optimization
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Modeling Multi-Model Multi-Robotic Disassembly Line Balancing Problem — Alanood A. Alsarayreh, Najat Almasarwah, et al. · IFAC-PapersOnLine (2025) | TGRS Research Map | TGRS