| Title | Integrated workstation design and buffer allocation in disassembly systems for remanufacturing |
|---|---|
| ID_Doc | 30028 |
| Authors | Shabanpour, N; Colledani, M |
| Title | Integrated workstation design and buffer allocation in disassembly systems for remanufacturing |
| Year | 2018 |
| Published | |
| Abstract | Remanufacturing is recognized as one of the most profitable and environmentally conscious options of the circular economy. A remanufacturing process chain includes disassembly, cleaning, inspection, reconditioning and reassembly stages to recover the functionality and value of post-use products. However, the efficiency and profitability of remanufacturing are significantly affected by the variability of post-use product conditions. Consequently, the disassembly tasks times are highly uncertain, and this leads to a lack of robustness in disassembly lines designed without considering these challenges. This paper aims at finding the optimal disassembly line design under uncertainty of tasks times to support remanufacturing. A mathematical optimization model with the objective of profit maximization is proposed which jointly optimizes and determines (1) the sequence of components to be disassembled and the assignment of disassembly tasks to workstations and (2) the allocation of buffers in order to provide a disassembly line design which has the maximum profit and satisfies the desired cycle time. The benefits of the proposed model are validated within a real case study dedicated to the remanufacturing of mechatronic components in the automotive industry. (C) 2018 The Authors. Published by Elsevier B.V. |
| https://doi.org/10.1016/j.procir.2017.11.135 |
Similar Articles
| ID | Score | Article |
|---|---|---|
7074
|
Limère, V; Popelier, L; Schmid, NA Balancing disassembly lines under consideration of tool requirements and limited space(2021)Ifac Papersonline, 54, 1 | |
| 16320
|
Sergio, M; Franciosi, C; Iannone, R A model for the economic assessment of disassembly-line integration in traditional manufacturing processes(2021) | |
| 9382
|
Mustajib, MI; Ciptomulyono, U; Kurniati, N A Model for Remanufacturing Process Planning Under Quality Loss and Emissions Constraint with Multi-graded of Incoming Cores(2024) | |
| 10742
|
Ehm, F Scheduling and process planning for the dismantling shop with flexible disassembly mode and recovery level(2024) | |
| 14744
|
Mandolini, M; Favi, C; Germani, M; Marconi, M Time-based disassembly method: how to assess the best disassembly sequence and time of target components in complex products(2018)International Journal Of Advanced Manufacturing Technology, 95, 1-4 | |
| 9971
|
Sitcharangsie, S; Ijomah, W; Wong, TC Decision makings in key remanufacturing activities to optimise remanufacturing outcomes: A review(2019) | |
| 20441
|
Sergio, M; Franciosi, C; Iannone, R An approach to Evaluate the Impact of the Introduction of a Disassembly Line in Traditional Manufacturing Systems(2022)Journal Of Industrial Engineering And Management-Jiem, 15, 2 | |
| 7330
|
Chand, M; Ravi, C A state-of-the-art literature survey on artificial intelligence techniques for disassembly sequence planning(2023) | |
| 7007
|
Favi, C; Marconi, M; Germani, M; Mandolini, M A design for disassembly tool oriented to mechatronic product de-manufacturing and recycling(2019) | |
| 13560
|
Gao, YC; Lou, SH; Zheng, H; Tan, JR A data-driven method of selective disassembly planning at end-of-life under uncertainty(2023)Journal Of Intelligent Manufacturing, 34, 2 |