A goal programming model for paper recycling system

• Published in: Omega (Oxford) Vol. 36; no. 3; pp. 405 - 417
• Main Authors: Pati, Rupesh Kumar, Vrat, Prem, Kumar, Pradeep
• Format: Journal Article
• Language: English
• Published: Exeter Elsevier Ltd 01.06.2008; Elsevier; Pergamon Press Inc
• Series: Omega
• Subjects: Applied sciences; Decision theory. Utility theory; Environmental studies; Environmental studies Mixed integer goal programming Multicriteria Reverse logistics Paper recycling; Exact sciences and technology; Firm modelling; Integer programming; Logistics; Mathematical programming; Mixed integer goal programming; Multicriteria; Operational research and scientific management; Operational research. Management science; Paper recycling; Recycling; Reverse logistics; Scrap; Studies; Waste management industry; India; Environmental studies; Mixed integer goal programming; Paper recycling; Reverse logistics; Multicriteria; Multicriteria analysis; Segregation; Multiobjective programming; Environmental management; Modeling; Management planning; Location problem; Recovery; Multiple decision; Goal programming; Facility location; Multi item management; Assisted management; Recycling; Distribution network; Decision support system; Decision making; Priority; Distribution cost; Economic optimization; Mixed integer programming; Waste management; Research program; Planning; Logistics; Environmental protection
• ISSN: 0305-0483; 1873-5274
• DOI: 10.1016/j.omega.2006.04.014

The conflict between economic optimization and environmental protection has received wide attention in recent research programs for waste management system planning. This has also resulted in a set of new waste management goals in reverse logistics system planning. The purpose of this analysis is to formulate a mixed integer goal programming (MIGP) model to assist in proper management of the paper recycling logistics system. The model studies the inter-relationship between multiple objectives (with changing priorities) of a recycled paper distribution network. The objectives considered are reduction in reverse logistics cost; product quality improvement through increased segregation at the source; and environmental benefits through increased wastepaper recovery. The proposed model also assists in determining the facility location, route and flow of different varieties of recyclable wastepaper in the multi-item, multi-echelon and multi-facility decision making framework. The use of the model has been illustrated through a problem of paper recycling in India.