The planning of selective collection in a real-life vehicle routing problem: A case in Rio de Janeiro

Abstract Considering the importance of the waste collection sector, mainly in developing countries, this paper evaluates the implementation of the selective collection of recyclable waste so that it can be reused to have an appropriate final destination other than the landfill. The analysis of this study was carried out using the vehicle routing software ORTEC Routing and Dispatch in order to optimize the operation of a company that performs the collection of municipal solid waste from 1764 commercial establishments in Rio de Janeiro. We have considered political and economic aspects and all the actors involved in a real case. The results of 19 scenarios show that, despite the increase in total mileage traveled, it was possible to obtain a reduction of 45.40% in the total cost per client when the whole collection region gradually carries out recyclable waste separation. Therefore, despite the difficulties of planning and implementation of the selective collection of recyclable waste, we show that this can be beneficial to private companies and presents social and environmental benefits for the city.

[1]  Ana Paula Barbosa-Póvoa,et al.  Economic and environmental concerns in planning recyclable waste collection systems , 2014 .

[2]  Glaydston Mattos Ribeiro,et al.  Reverse logistics network for municipal solid waste management: The inclusion of waste pickers as a Brazilian legal requirement. , 2015, Waste management.

[3]  Thierry Kulcar,et al.  Optimizing solid waste collection in Brussels , 1996 .

[4]  Alexander Popov,et al.  Routing Optimization for Waste Management , 2005, Interfaces.

[5]  Chee Yew Wong,et al.  Research challenges in municipal solid waste logistics management. , 2016, Waste management.

[6]  David C. Wilson.  Global Waste Management Outlook , 2015 .

[7]  Eva Ponce Cueto,et al.  WasTE COllECTION vEHIClE R OUTINg PROblEm: lITERaTURE REvIEW , 2015 .

[8]  Claudia Andrea Arribas,et al.  Urban solid waste collection system using mathematical modelling and tools of geographic information systems , 2010, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[9]  A. M. Benjamin,et al.  Metaheuristics for the waste collection vehicle routing problem with time windows , 2011 .

[10]  Claudio Barbieri da Cunha,et al.  Aspectos práticos da aplicação de modelos de roteirização de veículos a problemas reais , 2000 .

[11]  Stewart Burn,et al.  Energy and time modelling of kerbside waste collection: Changes incurred when adding source separated food waste. , 2016, Waste management.

[12]  Michał Jakubiak,et al.  The Improvement in Collection of Municipal Waste on the Example of a Chosen Municipality , 2016 .

[13]  Goos Kant,et al.  Coca-Cola Enterprises Optimizes Vehicle Routes for Efficient Product Delivery , 2008, Interfaces.

[14]  Aylin Zeren Alagöz,et al.  Improvement and modification of the routing system for the health-care waste collection and transportation in Istanbul. , 2008, Waste management.

[15]  A. Patt,et al.  Valuing co-benefits to make low-carbon investments in cities bankable: The case of waste and transportation projects , 2017 .

[16]  Sai Ho Chung,et al.  Survey of Green Vehicle Routing Problem: Past and future trends , 2014, Expert Syst. Appl..

[17]  Albert P. M. Wagelmans,et al.  A savings based method for real-life vehicle routing problems , 1999, J. Oper. Res. Soc..

[18]  Eliana Zandonade,et al.  Selection and validation of indicators for programs selective collection evaluation with social inclusion , 2011 .

[19]  Gilbert Laporte,et al.  Fifty Years of Vehicle Routing , 2009, Transp. Sci..

[20]  Ana Paula Barbosa-Póvoa,et al.  Planning a sustainable reverse logistics system: Balancing costs with environmental and social concerns , 2014 .

[21]  Javier Faulin,et al.  The DSS LOGDIS Optimizes Delivery Routes for FRILAC's Frozen Products , 2005, Interfaces.

[22]  Gilbert Laporte,et al.  Thirty years of heterogeneous vehicle routing , 2016, Eur. J. Oper. Res..

[23]  Jie Liu,et al.  A Clustering-Based Multiple Ant Colony System for the Waste Collection Vehicle Routing Problems , 2012, 2012 Fifth International Symposium on Computational Intelligence and Design.

[24]  Denis Borenstein,et al.  Truck scheduling for solid waste collection in the City of Porto Alegre, Brazil ☆ , 2008 .

[25]  Monoj Kumar Mondal,et al.  Determining the sustainability of options for municipal solid waste disposal in Varanasi, India , 2014 .

[26]  Angel A. Juan,et al.  A Biased-Randomized Heuristic for the Waste Collection Problem in Smart Cities , 2015 .

[27]  Swapan Das,et al.  Optimization of municipal solid waste collection and transportation routes. , 2015, Waste management.

[28]  J. Gutberlet,et al.  Cooperative urban mining in Brazil: Collective practices in selective household waste collection and recycling. , 2015, Waste management.

[29]  William Hogland,et al.  Solid waste management challenges for cities in developing countries. , 2015, Waste management.

[30]  P. Rebehy,et al.  Innovative social business of selective waste collection in Brazil: Cleaner production and poverty reduction , 2017 .

[31]  Gisele de Lorena Diniz Chaves,et al.  The challenges for solid waste management in accordance with Agenda 21: A Brazilian case review , 2014, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[32]  Bruce L. Golden,et al.  The vehicle routing problem : latest advances and new challenges , 2008 .

[33]  K. M. Nazmul Islam,et al.  Reliability and economic analysis of moving towards wastes to energy recovery based waste less sustainable society in Bangladesh: The case of commercial capital city Chittagong , 2017 .

[34]  Ana Paula F. D. Barbosa-Póvoa,et al.  Opportunities and challenges in sustainable supply chain: An operations research perspective , 2017, Eur. J. Oper. Res..

[35]  Xuan Zhu,et al.  Solid waste collection/transport optimization and vegetation land cover estimation using Geographic Information System (GIS): A case study of a proposed smart-city , 2017 .

[36]  M. Ragazzi,et al.  Web-GIS oriented systems viability for municipal solid waste selective collection optimization in developed and transient economies. , 2013, Waste management.

[37]  Byung-In Kim,et al.  Waste collection vehicle routing problem with time windows using multi-objective genetic algorithms , 2007 .