Abstract
Disassembly is an indispensable part in remanufacturing process. Disassembly line balancing and disassembly mode have direct effects on the disassembly efficiency and resource utilization. Recent researches about disassembly line balancing problem (DLBP) either considered the highest productivity, lowest disassembly cost or some other performance measures. No one has considered these metrics comprehensively. In practical production, ignoring the ratio of resource input and value output within remanufacturing oriented disassembly can result in inefficient or pointless remanufacturing operations. To address the problem, a novel multi-efficiency DLBP optimization method is proposed. Different from the conventional DLBP, destructive disassembly mode is considered not only on un-detachable parts, but also on detachable parts with low value, high energy consumption, and long task time. The time efficiency, energy efficiency, and value efficiency are newly defined as the ultimate optimization objectives. For the characteristics of the multi-objective optimization model, a dual-population discrete artificial bee colony algorithm is proposed. The proposed model and algorithm are validated by different scales examples and applied to an automotive engine disassembly line. The results show that the proposed model is more efficient, and the algorithm is well suited to the multi-objective optimization model.
Highlights
The utilization and subsequent re-utilization of recyclable materials and reusable components is often cited as the most viable solution to reducing user waste and realizing the concept of sustainable development [1]
The methodology was applied to an engine disassembly line
Compared to Conventional disassembly line balancing problem (CDLBP), the results show that the cycle time (CT) is reduced about 47.40%, the TE is improved about 9.65%, the EE is improved about 52.01%, and the VE is improved about 25.92%
Summary
The utilization and subsequent re-utilization of recyclable materials and reusable components is often cited as the most viable solution to reducing user waste and realizing the concept of sustainable development [1]. Liu et al presented a multi-objective sequence-dependent disassembly line balancing problem (SDDLBP) optimization model, taking the number of opened workstations, total disassembly time, idle times of opened workstations, and the hazardous components and high-demand parts altogether [20]. This method can improve the profit of the recycling product to some degree, due to the constraints between the product and the detachability, we must destroy some valueless or low-value parts to obtained the required high-value parts Under these circumstances, Song et al [30] and Chen [31] proposed a method for product disassembly sequence planning under a partial destruction mode.
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