A multi-layered disassembly sequence planning method to support decision making in de-manufacturing

Sadhana ◽  
2021 ◽  
Vol 46 (2) ◽  
Author(s):  
Gulivindala Anil Kumar ◽  
M V A Raju Bahubalendruni ◽  
V S S Prasad ◽  
K Sankaranarayanasamy
Keyword(s):  
Decision Making ◽  
Planning Method ◽  
Disassembly Sequence Planning ◽  
Sequence Planning ◽  
Disassembly Sequence ◽  
Support Decision Making

3D-based multi-objective cooperative disassembly sequence planning method for remanufacturing

2020 ◽  
Vol 106 (9-10) ◽  
pp. 4611-4622 ◽  
Author(s):  
Xuhui Xia ◽  
Huixian Zhu ◽  
Zelin Zhang ◽  
Xiang Liu ◽  
Lei Wang ◽  
...  
Keyword(s):  
Planning Method ◽  
Disassembly Sequence Planning ◽  
Sequence Planning ◽  
Multi Objective ◽  
Disassembly Sequence

scholarly journals Disassembly sequence planning: Recent developments and future trends

2018 ◽  
Vol 233 (5) ◽  
pp. 1450-1471 ◽  
Author(s):  
Zude Zhou ◽  
Jiayi Liu ◽  
Duc Truong Pham ◽  
Wenjun Xu ◽  
F Javier Ramirez ◽  
...  
Keyword(s):  
Natural Resources ◽  
Planning Method ◽  
Future Trends ◽  
Disassembly Sequence Planning ◽  
Sequence Planning ◽  
Societal Benefits ◽  
Disassembly Sequence ◽  
Recent Developments ◽  
Planning Methods ◽  
Product Disassembly

Remanufacturing has gained increasing attention due to its economic, environmental and societal benefits as well as its contribution to the sustainability of natural resources. Disassembly is the first and usually the most difficult process in remanufacturing a product. Disassembly sequence planning, which aims to find the optimal disassembly sequence, is required to improve efficiency and reduce cost. There have been many investigations in this field and several disassembly sequence planning methods have been developed. This article reviews the main existing disassembly sequence planning methods from the perspectives of disassembly mode, disassembly modelling and planning method. The characteristics of different methods are analysed and summarised from those perspectives. Future trends in disassembly sequence planning are also discussed to reveal gaps in existing research.

scholarly journals A Disassembly Sequence Planning Method With Team-Based Genetic Algorithm for Equipment Maintenance in Hydropower Station

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 47538-47555 ◽  
Author(s):  
Bailin Li ◽  
Chaoshun Li ◽  
Xiaolong Cui ◽  
Xinjie Lai ◽  
Jie Ren ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Planning Method ◽  
Hydropower Station ◽  
Equipment Maintenance ◽  
Disassembly Sequence Planning ◽  
Sequence Planning ◽  
Disassembly Sequence

Selective Parallel Disassembly Sequence Planning Method for Remanufacturing

2018 ◽  
Vol 30 (3) ◽  
pp. 531 ◽  
Author(s):  
Yongting Tian ◽  
Xiufen Zhang ◽  
Jinfang Xu ◽  
Zhiguo Li
Keyword(s):  
Planning Method ◽  
Disassembly Sequence Planning ◽  
Sequence Planning ◽  
Disassembly Sequence

ASSEMBLY/DISASSEMBLY SEQUENCE PLANNING

1992 ◽  
Vol 12 (3) ◽  
pp. 31-38 ◽  
Author(s):  
K. Yokota ◽  
D.R. Brough
Keyword(s):  
Disassembly Sequence Planning ◽  
Sequence Planning ◽  
Disassembly Sequence

Partial/Parallel Disassembly Sequence Planning for Complex Products

2017 ◽  
Vol 140 (1) ◽  
Author(s):  
Fei Tao ◽  
Luning Bi ◽  
Ying Zuo ◽  
A. Y. C. Nee
Keyword(s):  
Degrees Of Freedom ◽  
Diversity Management ◽  
Disassembly Sequence Planning ◽  
Complex Products ◽  
Sequence Planning ◽  
Modular Product ◽  
Disassembly Sequence ◽  
Comparison Results ◽  
Complex Constraints ◽  
Disassembly Time

Disassembly is a very important step in recycling and maintenance, particularly for energy saving. However, disassembly sequence planning (DSP) is a challenging combinatorial optimization problem due to complex constraints of many products. This paper considers partial and parallel disassembly sequence planning for solving the degrees-of-freedom in modular product design, considering disassembly time, cost, and energy consumption. An automatic self-decomposed disassembly precedence matrix (DPM) is designed to generate partial/parallel disassembly sequence for reducing complexity and improving efficiency. A Tabu search-based hyper heuristic algorithm with exponentially decreasing diversity management strategy is proposed. Compared with the low-level heuristics, the proposed algorithm is more efficient in terms of exploration ability and improving energy benefits (EBs). The comparison results of three different disassembly strategies prove that the partial/parallel disassembly has a great advantage in reducing disassembly time, and improving EBs and disassembly profit (DP).

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