Selective Disassembly Planning for the End-of-life Product☆

Abstract Selective disassembly planning searches solutions to separate useful parts of a product to be reused or recycled at the end of the product life. An efficient method is essential for disassembly planning in the product recycling process to reduce the operation time and cost. This paper proposes an efficient method for selective disassembly sequence planning considering destructive operations. Different from the most existing methods that mainly consider the non-destructive disassembly, destructive disassembly operations are considered to improve the product recycling and operation efficiency. An efficient product representation approach and search algorithms are proposed to generate the optimal disassembly sequence plan. Multi-level constraint matrices based on products’ bill of materials are constructed to identify products’ structure to reduce the searching size of disassembly plans. An industrial mechanical arm is used in the case study to verify the proposed method.

[1]  Kuang Bing.  Disassembly Sequence Planning Based on the Simulated Annealing and Genetic Algorithm , 2007 .

[2]  Surendra M. Gupta,et al.  A Robotic-Driven Disassembly Sequence Generator for End-Of-Life Electronic Products , 2012, Journal of Intelligent & Robotic Systems.

[3]  Peter Mitrouchev,et al.  Selective disassembly sequence generation based on lowest level disassembly graph method , 2015 .

[4]  Peihua Gu,et al.  Integrated multi-layer representation and ant colony search for product selective disassembly planning , 2016, Comput. Ind..

[5]  E. Sundin,et al.  Making functional sales environmentally and economically beneficial through product remanufacturing , 2005 .

[6]  Bert Bras,et al.  Design for Disassembly and the Value of Robotic Semi-Destructive Disassembly , 2002 .

[7]  Xiaojun Zhou,et al.  Preventive maintenance modeling for multi-component systems with considering stochastic failures and disassembly sequence , 2015, Reliab. Eng. Syst. Saf..

[8]  Ajd Fred Lambert,et al.  Disassembly sequencing: A survey , 2003 .

[9]  C. Chung,et al.  Evolutionary sequence planning for selective disassembly in de-manufacturing , 2006, Int. J. Comput. Integr. Manuf..

[10]  A. Watanasungsuit,et al.  Discrete particle swarm optimization for disassembly sequence planning , 2014, 2014 IEEE International Conference on Management of Innovation and Technology.

[11]  Liang Gao,et al.  Disassembly sequence planning using a Simplified Teaching-Learning-Based Optimization algorithm , 2014, Adv. Eng. Informatics.

[12]  Surendra M. Gupta,et al.  Evaluating the impact of sensor-embedded products on the performance of an air conditioner disassembly line , 2011 .

[13]  Shana Smith,et al.  Rule-based recursive selective disassembly sequence planning for green design , 2011, Adv. Eng. Informatics.

[14]  Yasushi Umeda,et al.  Proposal of a design method for semi-destructive disassembly with split lines , 2015 .

[15]  Roberto Viganò,et al.  Automatic assembly sequence exploration without precedence definition , 2013 .

[16]  Christoph Herrmann,et al.  Implementation of the WEEE-directive — economic effects and improvement potentials for reuse and recycling in Germany , 2010 .

[17]  Raj S. Sodhi,et al.  Destructive disassembly of bolts and screws by impact fracture , 2002 .

[18]  Xiaowen Song,et al.  Disassembly sequence planning for electro-mechanical products under a partial destructive mode , 2014 .

[19]  Wang Yun-fei.  Disassembly sequence planning based on extended interference matrix and genetic algorithm , 2013 .

[20]  Jorge Pomares,et al.  Virtual disassembly of products based on geometric models , 2004, Comput. Ind..

[21]  Pan Xing-xing.  Electromechanical product disassembly sequence planning based on partial destruction mode , 2012 .

[22]  Qiang Hou,et al.  Research on assembly modeling and sequence planning based on features , 2006 .

[23]  Yuan-Jye Tseng,et al.  Integrated assembly and disassembly sequence planning using a GA approach , 2010 .