Assessing and improving the green performance using a compound approach

This study presents a compound approach with a five-phase process to assess and improve the green performance. Based on the Six Sigma approach, the five-phase process consists of definition, measurement, analysis, improvement and control (DMAIC) phases. During the first three phases, an evaluation the assessment model is developed based on the analytical hierarchy process. Particle swarm optimization is also performed to search for the sequence of actions in order to improve the green performance based on the output of the assessment model. Managers can monitor the progress of the improvement plan during the control phase. A case study involving two global footwear manufacturers demonstrate the effectiveness of the proposed approach.

[1]  Ad J. de Ron,et al.  Sustainable production: The ultimate result of a continuous improvement , 1998 .

[2]  Ching-Jong Liao,et al.  A discrete particle swarm optimization for lot-streaming flowshop scheduling problem , 2008, Eur. J. Oper. Res..

[3]  S. Minner.  Strategic safety stocks in reverse logistics supply chains , 2001 .

[4]  M. D. Brito,et al.  Towards a sustainable fashion retail supply chain in Europe: Organisation and performance , 2008 .

[5]  Ari Paloviita,et al.  Recognizing definitive stakeholders in corporate environmental management , 2010 .

[6]  Imre Dobos.  Production strategies under environmental constraints in an Arrow-Karlin model , 1999 .

[7]  Wendy Jedlička.  Packaging Sustainability: Tools, Systems and Strategies for Innovative Package Design , 2008 .

[8]  H. Wee,et al.  Green-component life-cycle value on design and reverse manufacturing in semi-closed supply chain , 2008 .

[9]  Arun Sharma,et al.  Sustainability and business-to-business marketing: A framework and implications , 2010 .

[10]  Sime Curkovic,et al.  Total Quality Environmental Management and Total Cost Assessment: An exploratory study , 2007 .

[11]  Thomas J. Crowe,et al.  An integrated dynamic performance measurement system for improving manufacturing competitiveness , 1997 .

[12]  Patricia W. Birnie,et al.  International Law and the Environment , 1993 .

[13]  R. Klassen,et al.  Environmental management and manufacturing performance: The role of collaboration in the supply chain , 2008 .

[14]  G. Tyler Miller,et al.  Environmental Science: Working with the Earth , 1986 .

[15]  Amrik S. Sohal,et al.  Quick Response supply chain alliances in the Australian textiles, clothing and footwear industry , 1999 .

[16]  Thomas L. Saaty,et al.  Theory and Applications of the Analytic Network Process: Decision Making With Benefits, Opportunities, Costs, and Risks , 2005 .

[17]  Hideki Kobayashi,et al.  Strategic evolution of eco-products: a product life cycle planning methodology , 2005 .

[18]  Eleonora Bottani,et al.  Lead time reduction through ICT application in the footwear industry: A case study , 2007 .

[19]  Ahmed Abdel-Maksoud,et al.  Manufacturing in the UK: contemporary characteristics and performance indicators , 2004 .

[20]  A. Kriwet,et al.  Systematic integration of design-for-recycling into product design , 1995 .

[21]  Mustafa Yurdakul,et al.  Measuring a manufacturing system’s performance using Saaty’s system with feedback approach , 2002 .

[22]  Christian Mascle,et al.  Integrating environmental consciousness in product/process development based on life-cycle thinking , 2008 .

[23]  Mônica Batista Leite,et al.  Mechanical behavior of recycled lightweight concrete using EVA waste and CDW under moderate temperature , 2009 .

[24]  Anjali Awasthi,et al.  A fuzzy multicriteria approach for evaluating environmental performance of suppliers , 2010 .

[25]  Belarmino Adenso-Díaz,et al.  Environmental and reverse logistics policies in European bottling and packaging firms , 2004 .

[26]  Thomas L. Saaty,et al.  The Analytic Hierarchy Process: Decision Making in Complex Environments , 1984 .

[27]  Peter M. Haas,et al.  Institutions for the Earth. Sources of Effective International Environmental Protection. , 1996 .

[28]  H. Baumgarten,et al.  Reconfigurable logistics systems in production and disassembly networks , 2004 .

[29]  D. Y. Sha,et al.  A hybrid particle swarm optimization for job shop scheduling problem , 2006, Comput. Ind. Eng..

[30]  P. Asokan,et al.  A solution to the facility layout problem having passages and inner structure walls using particle swarm optimization , 2006 .

[31]  Forest L. Reinhardt,et al.  Environmental Product Differentiation: Implications for Corporate Strategy , 1998 .

[32]  Michael I. Jeffery.  Book Review: International Law and the Environment, by Patricia Birnie, Alan Boyle, And Catherine Redgwell , 2009 .

[33]  Joel Tickner,et al.  ISO 14,000: Will it Deter Cleaner Production? , 1998 .

[34]  Chang-Lin Yang,et al.  Improving supplier performance using a comprehensive scheme , 2010 .

[35]  Paulo Roberto Lopes Lima,et al.  Recycled lightweight concrete made from footwear industry waste and CDW. , 2010, Waste management.

[36]  Hamed Rafiei,et al.  Designing a decision support system to evaluate and select suppliers using fuzzy analytic network process , 2009, Comput. Ind. Eng..

[37]  M. H. Nagel,et al.  Managing the environmental performance of production facilities in the electronics industry: more than application of the concept of cleaner production , 2003 .

[38]  Bilge Bilgen,et al.  Project selection through fuzzy analytic hierarchy process and a case study on Six Sigma implementation in an automotive industry , 2012 .

[39]  Américo Lopes Azevedo,et al.  Interoperability in Collaborative Networks: Independent and industry-specific initiatives - The case of the footwear industry , 2008, Comput. Ind..

[40]  Joseph Sarkis.  Manufacturing’s role in corporate environmental sustainability ‐ Concerns for the new millennium , 2001 .

[41]  K. Fichter,et al.  Asian Productivity Organization , 1998 .

[42]  James J. Cordeiro,et al.  Firm-level correlates of emergent green supply chain management practices in the Chinese context , 2008 .

[43]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.