Prerequisites for a high-level framework to design sustainable plants in the e-waste supply chain

Currently few attempts to properly structure knowledge that specifically supports a fully sustainable e-waste treatment system design have been proposed in literature. As a result, this paper sets up the prerequisites for a high-level framework to design sustainable plants in the supply chain of e-waste. The framework addresses production and environmental engineers mainly. The methodology grows out of literature studies, research project’s outcomes and interviews with a group of sector experts. Stemming from this, a list of prerequisites was presented for the case study of an automated plant for e-waste sorting in order to design it while considering the triple-bottom-line of sustainability.

[1]  Peer-Olaf Siebers,et al.  Worker Performance Modelling in Manufacturing Systems Simulation , 2010 .

[2]  Duc Truong Pham,et al.  Fit manufacturing: a framework for sustainability , 2011 .

[3]  Davy Monticolo,et al.  A collaborative Design for Usability approach supported by Virtual Reality and a Multi-Agent System embedded in a PLM environment , 2010, Comput. Aided Des..

[4]  Timothy F. Slaper,et al.  The Triple Bottom Line: What Is It and How Does It Work? , 2011 .

[5]  F. Wolfgang Arndt.  The Digital Factory , 2004, ICINCO.

[6]  Peer-Olaf Siebers,et al.  Worker Performance Modeling in Manufacturing Systems Simulation : Proposal for an Agent-Based Approach , 2006 .

[7]  Averill M. Law,et al.  How to build valid and credible simulation models , 2008, 2008 Winter Simulation Conference.

[8]  F. Renaud,et al.  A review of the environmental fate and effects of hazardous substances released from electrical and electronic equipments during recycling: Examples from China and India , 2010 .

[9]  Christoph Herrmann,et al.  Framework for Integrated Analysis of Production Systems , 2007 .

[10]  Barbara B. Flynn,et al.  Empirical research methods in operations management , 1990 .

[11]  A. Borshchev,et al.  From System Dynamics and Discrete Event to Practical Agent Based Modeling : Reasons , Techniques , Tools , 2004 .

[12]  V. S. Rotter,et al.  Assessment of Precious Metal Flows During Preprocessing of Waste Electrical and Electronic Equipment , 2009 .

[13]  F. Magalini,et al.  Where did WEEE go wrong in Europe? Practical and academic lessons for the US , 2006, Proceedings of the 2006 IEEE International Symposium on Electronics and the Environment, 2006..

[14]  Saeed Mansour,et al.  Simulation-based optimisation of a sustainable recovery network for Waste from Electrical and Electronic Equipment (WEEE) , 2013, Int. J. Comput. Integr. Manuf..

[15]  Feng Wang,et al.  The Best-of-2-Worlds philosophy: developing local dismantling and global infrastructure network for sustainable e-waste treatment in emerging economies. , 2012, Waste management.

[16]  Wen-Hsien Tsai,et al.  Treatment and recycling system optimisation with activity-based costing in WEEE reverse logistics management: an environmental supply chain perspective , 2009 .

[17]  T. Spengler,et al.  Impact of WEEE‐directive on reverse logistics in Germany , 2005 .

[18]  S. Zanoni,et al.  Economic evaluation of disassembly processes in remanufacturing systems , 2004 .

[19]  Franck Viguier,et al.  Simulation-based sustainable manufacturing system design , 2010 .

[20]  J. Martin Corbett,et al.  Human centred advanced manufacturing systems: From rhetoric to reality , 1990 .

[21]  M. Bengtsson,et al.  Chemical hazards associated with treatment of waste electrical and electronic equipment. , 2011, Waste management.

[22]  Juergen Hesselbach,et al.  Simulation-based disassembly systems design , 2004, SPIE Optics East.

[23]  Z. Cai,et al.  Environmental contamination from electronic waste recycling at Guiyu, southeast China , 2006 .

[24]  Karin Ackermann.  Automation Production Systems And Computer Integrated Manufacturing , 2016 .