Disassembly scheduling problem: literature review and future research directions

Slama, Ilhem; Ben-Ammar, Oussama; Masmoudi, Faouzi; Dolgui, Alexandre

doi:10.1016/j.ifacol.2019.11.225

Cited by 21 publications

(12 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Indeed, we know that the planning with the scenario of one worker is optimal, as the fuzzy completion time is equal to the sum of the fuzzy durations for the steps. The authors of [82] point out that disassembling scheduling with uncertain parameters has barely been addressed in the literature. Thus, even a heuristic scheduling procedure can extend the method and add new value.…”

Section: Disassembling Duration Assessment By Fuzzy Logicmentioning

confidence: 99%

Field Study and Multimethod Analysis of an EV Battery System Disassembly

et al. 2022

View full text Add to dashboard Cite

In the coming decades, the number of end-of-life (EoL) traction battery systems will increase sharply. The disassembly of the system to the battery module is necessary to recycle the battery modules or to be able to use them for further second-life applications. These different recovery paths are important pathways to archive a circular battery supply chain. So far, little knowledge about the disassembling of EoL batteries exists. Based on a disassembly experiment of a plug-in hybrid battery system, we present results regarding the battery set-up, including their fasteners, the necessary disassembly steps, and the sequence. Upon the experimental data, we assess the disassembly duration of the battery system under uncertainty with a fuzzy logic approach. The results indicate that a disassembling time of about 22 min is expected for the battery system in the field study if one worker conducts the process. An estimation for disassembling costs per battery system is performed for a plant in Germany. Depending on the plant capacity, the disassembling to battery module level is associated with costs between EUR 80 and 100 per battery system.

show abstract

Section: Disassembling Duration Assessment By Fuzzy Logicmentioning

confidence: 99%

Field Study and Multimethod Analysis of an EV Battery System Disassembly

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The first authors to describe the basic problem of disassembly scheduling had been Gupta and Taleb (1994). In a literature review, Slama et al (2019) arrange the latest approaches in the field of disassembly scheduling. In general, they distinguish the approaches by specific attributes or features which are considered in the problem and have an impact on its complexity.…”

Section: Related Workmentioning

confidence: 99%

Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning

et al. 2022

View full text Add to dashboard Cite

Remanufacturing includes disassembly and reassembly of used products to save natural resources and reduce emissions. While assembly is widely understood in the field of operations management, disassembly is a rather new problem in production planning and control. The latter faces the challenge of high uncertainty of type, quantity and quality conditions of returned products, leading to high volatility in remanufacturing production systems. Traditionally, disassembly is a manual labor-intensive production step that, thanks to advances in robotics and artificial intelligence, starts to be automated with autonomous workstations. Due to the diverging material flow, the application of production systems with loosely linked stations is particularly suitable and, owing to the risk of condition induced operational failures, the rise of hybrid disassembly systems that combine manual and autonomous workstations can be expected. In contrast to traditional workstations, autonomous workstations can expand their capabilities but suffer from unknown failure rates. For such adverse conditions a condition-based control for hybrid disassembly systems, based on reinforcement learning, alongside a comprehensive modeling approach is presented in this work. The method is applied to a real-world production system. By comparison with a heuristic control approach, the potential of the RL approach can be proven simulatively using two different test cases.

show abstract

“…Since the seminal work of Gupta & Taleb (1994) , the DLS problems have attracted a lot of attention, and recent reviews are presented in Kim, Lee, & Xirouchakis (2007) and Slama, Ben-Ammar, Masmoudi, & Dolgui (2019a) . Gupta & Lambert (2016) highlighted the importance of disassembly lot sizing problems.…”

Section: Literature Reviewmentioning

confidence: 99%