TY - JOUR
T1 - Fleet size optimization in the discarded tire collection process
AU - Costa Salas, Yasel Josè
AU - Sarache, William
AU - Überwimmer, Margarethe
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017/9
Y1 - 2017/9
N2 - Due to rapid growth in urban populations, waste collection in cities has become a topic of great concern, due to it impacts on environmental pollution. Regarding used tires, the effect on human health and the environment is a matter of great concern for urban authorities. Therefore, in this paper, we analyze the recovery process for discarded tires. In particular, we study a Reverse Supply Chain Network Design (RSCND), which is designed according to three fundamental echelons (i.e. waste collection, processing and customer zones). To this end, the simultaneous application of simulation techniques and optimization algorithms is proposed. Both approaches are framed within a general methodology, which has been taken from the Operations Research literature. We present a case study from a Colombian city. The combined algorithmic approaches, which include discrete simulation and multiobjective optimization, provide sufficient evidence regarding ways to optimally manage fleet size in the RSCND. Experimental results indicate that the discarded tire recovery process can be designed to be more profitable, as well as less environmentally harmful.
AB - Due to rapid growth in urban populations, waste collection in cities has become a topic of great concern, due to it impacts on environmental pollution. Regarding used tires, the effect on human health and the environment is a matter of great concern for urban authorities. Therefore, in this paper, we analyze the recovery process for discarded tires. In particular, we study a Reverse Supply Chain Network Design (RSCND), which is designed according to three fundamental echelons (i.e. waste collection, processing and customer zones). To this end, the simultaneous application of simulation techniques and optimization algorithms is proposed. Both approaches are framed within a general methodology, which has been taken from the Operations Research literature. We present a case study from a Colombian city. The combined algorithmic approaches, which include discrete simulation and multiobjective optimization, provide sufficient evidence regarding ways to optimally manage fleet size in the RSCND. Experimental results indicate that the discarded tire recovery process can be designed to be more profitable, as well as less environmentally harmful.
KW - City logistics
KW - Discarded tires
KW - Discrete simulation
KW - Fleet size optimization
KW - Reverse logistics
UR - http://www.scopus.com/inward/record.url?scp=85027456150&partnerID=8YFLogxK
U2 - 10.1016/j.rtbm.2017.08.001
DO - 10.1016/j.rtbm.2017.08.001
M3 - Article
VL - 24
SP - 81
EP - 89
JO - Research in Transportation Business and Management
JF - Research in Transportation Business and Management
ER -