Abstract
This chapter presents a decision-support system (DSS), for the strategic planning and operational planning in reverse logistics applied to a multi-stage collection network. The DSS is based on the application of original mixed-integer linear programming models for strategic issues and heuristic algorithms for operational issues. The proposed models and solving methods have been applied to a case study of electric and electronic equipment waste WEEE collection for the city of Bologna, Italy. The results obtained by a what-if analysis have been properly presented and justified. This study demonstrates the importance and effectiveness of a hierarchical approach in order to identify the best location of facilities, the allocation of customers (e.g. origination sites) demand to suppliers (e.g. collection sites), and the vehicle routing in accordance with different transportation modes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aldenderfer MS, Blashfield RK (1984) Cluster analysis, sage university paper series on quantitative applications in the social sciences No. 07-044, Sage, Beverly Hills
Bindi F, Manzini R, Regattieri A, Pareschi A (2009) Similarity-based storage allocation rules in an order picking system: an application to the food service industry. Intern J Logist Res Appl 12(4):233–247
Das K, Chowdhury AH (2011 IN PRESS) Designing a reverse logistics network for optimal collection, recovery and quality-based product-mix planning. Int J prod Econ
Dowlatshahi S (2005) A strategic framework for the design and implementation of remanufacturing operations in reverse logistics. Int J Prod Res 43(16):3455–3480
Fleischmann M, Bloemhof-Ruwaard JM, Dekker R, van der Laan E, van Nunen JAEE, van Wassenhove LN (1997) Quantitative models for reverse logistics: a review. Eur J Oper Res 103:1–17
Fleischmann M, Beullens P, Bloemhof-Ruwaard J, Van Wassenhove L (2001) The impact of product recovery on logistics network design. Prod Oper Manag 10(2):156–173
Gamberini R, Gebennini E, Manzini R, Ziveri A (2010) On the integration of planning and environmental impact assessment for a WEEE transportation network–A case study. Resour Conserv Recycl 54(11):937–951
Gebennini E, Gamberini R, Manzini R (2009) An integrated production–distribution model for the dynamic location and allocation problem with safety stock optimization. Int J Prod Econ 122:286–304
Guide VDR, Teunter RH, Van Wassenhove LN (2003) Matching demand and supply to maximize profits from remanufacturing. manufacturing and service. Oper Manag 5(4):303–316
Gungor A, Gupta SM (1999) Issues in environmentally conscious manufacturing and product recovery : a survey. Comput Ind Eng 36:811–853
Jayaraman V, Patterson R, Rolland E (2003) The design of reverse distribution networks: models and solution procedures. Eur J Oper Res 150(1):128–149
Kim H, Yang J, Lee K-D (2009) Vehicle routing in reverse logistics for recycling end-of-life consumer electronic goods in South Korea transportation research Part D. Trans Environ 14(5):291–299
Kim H, Yang J, Lee KD (2011a) Reverse logistics using a multi-depot vrp approach for recycling end-of-life consumer electronic products in South Korea. Intern J Sustain Transp 5(5):289–318
Kim J-G, Kim J-S, Lee D-H (2011b) A case study on period vehicle routing in a refuse collection system. Intern J Sustain Eng 4(3):215–223
Manzini R, Bindi F (2009) Strategic design and operational management optimization of a multi stage physical distribution system. Transp Res Part E 45:915–936
Manzini R, Bindi F, Pareschi A (2010) The threshold value of group similarity in the formation of cellular manufacturing system. Int J Prod Res 48(10):3029–3060
Mar-Ortiz J, González-Velarde JL, Adenso-DÃaz B (2011) Designing routes for WEEE collection: the vehicle routing problem with split loads and date windows. J Heuristics, pp 1–25
Melo MT, Nickel S, Saldanha-da-Gama F (2009) Facility location and supply chain management—A review. Eur J Oper Res 196:401–412
Min H, Ko H, Ko C (2006) A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns. Omega-Int J Manag Sci 34(1):56–69
Pokharel S, Mutha A (2009) Perspectives in reverse logistics: A review. Resour Conserv Recycl 53:175–182
Rogers DS, Tibben-Lembke RS (1999) Going backwards: reverse logistics trends and practices. Reverse Logistics Executive Council, Pittsburgh
Salema M, Barbosa-Povoa A, Novais A (2010) Simultaneous design and planning of supply chains with reverse flows: a generic modelling framework. Eur J Oper Res 203(2):336–349
Savaskan RC, Bhattaehrya S, VanWassenhove LN (2004) Closed-loop supply chain models with product remanufacturing. Manag Sci 50(2):239–253
Subramoniam R, Huisingh D, Chinnam RB (2009) Remanufacturing for the automotive aftermarket-strategic factor: literature review and future research issue. J Clean Prod 17:1163–1174
Toth P, Vigo D (2002) The vehicle routing problem discrete math (Siam monographs on discrete mathematics and applications). Philadelphia
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Manzini, R., Bortolini, M. (2012). Strategic Planning and Operational Planning in Reverse Logistics. A Case Study for Italian WEEE. In: Golinska, P., Romano, C. (eds) Environmental Issues in Supply Chain Management. EcoProduction. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23562-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-23562-7_7
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23561-0
Online ISBN: 978-3-642-23562-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)