Service-oriented disassembly sequence planning for electrical and electronic equipment waste

We study the multi-objective disassembly sequence planning problem.We propose an optimization algorithm to solve the problem effectively.We design a service-oriented disassembly sequence planning framework.We take e-business technologies to support sustainable business practices. Disassembly sequence planning plays an important role in the end-of-life treatment of electrical and electronic equipment waste (e-waste). Effective planning methods can improve recovery rates and reduce environmental impacts of e-waste. In previous work, neither mathematical models nor optimization algorithms offered a satisfactory solution for this multi-objective disassembly problem. We present a multi-objective model for the problem and a modified teaching-learning-based optimization (MTLBO) algorithm to find the Pareto-optimal frontier. We use numerical simulations to demonstrate and verify the effectiveness and robustness of the algorithm. To do effective disassembly planning, all the participants in the lifecycle of e-waste should work together. Disassembly and recovery of e-waste involve complex processes across the lifecycle. Information support services, disassembly modeling and optimization services must be integrated using computer networks. We also propose a service-oriented framework to support business integration for the participants in the e-waste lifecycle. Effective and optimized disassembly planning can be achieved by invoking the related distributed services. The proposed framework is a novel e-business application for the end-of-life treatment of e-waste.

[1]  Lihui Wang,et al.  A Semantic Information Services Framework for Sustainable WEEE Management Toward Cloud-Based Remanufacturing , 2015, Sustainable Manufacturing and Remanufacturing Management.

[2]  Tharam Dillon,et al.  Decision-making framework for user-based inter-cloud service migration , 2015, Electron. Commer. Res. Appl..

[3]  Vivek Patel,et al.  Comparative performance of an elitist teaching-learning-based optimization algorithm for solving unconstrained optimization problems , 2013 .

[4]  R. Venkata Rao,et al.  Parameter optimization of modern machining processes using teaching-learning-based optimization algorithm , 2013, Eng. Appl. Artif. Intell..

[5]  Kuo-Ming Chao,et al.  E-services in e-business engineering , 2016, Electron. Commer. Res. Appl..

[6]  Wei-Chang Yeh,et al.  Optimization of the Disassembly Sequencing Problem on the Basis of Self-Adaptive Simplified Swarm Optimization , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[7]  R. Venkata Rao,et al.  Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems , 2011, Comput. Aided Des..

[8]  Craig L. Johnson.  A framework for pricing government e-services , 2007, Electron. Commer. Res. Appl..

[9]  Qingfu Zhang,et al.  MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition , 2007, IEEE Transactions on Evolutionary Computation.

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

[11]  R. Venkata Rao,et al.  Parameter optimization of machining processes using teaching–learning-based optimization algorithm , 2013 .

[12]  Surendra M. Gupta,et al.  Disassembly sequencing using genetic algorithm , 2006 .

[13]  Kuo-Ming Chao,et al.  Selective disassembly planning for waste electrical and electronic equipment with case studies on liquid crystaldisplays , 2013 .

[14]  Youcef Baghdadi,et al.  A guidance process to modernize legacy applications for SOA , 2013, Service Oriented Computing and Applications.

[15]  Robert J. Kauffman,et al.  Service-oriented technology and management: Perspectives on research and practice for the coming decade , 2008, Electron. Commer. Res. Appl..

[16]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[17]  Ying Huang,et al.  A Web services-based framework for business integration solutions , 2003, Electron. Commer. Res. Appl..

[18]  Sebastián Lozano,et al.  An efficient GRASP algorithm for disassembly sequence planning , 2007, OR Spectr..

[19]  Luciano Baresi,et al.  A distributed architecture for efficient Web service discovery , 2016, Service Oriented Computing and Applications.

[20]  Millie Pant,et al.  An efficient Differential Evolution based algorithm for solving multi-objective optimization problems , 2011, Eur. J. Oper. Res..