TY - JOUR
T1 - A GRASP-Tabu Heuristic Approach to Territory Design for Pickup and Delivery Operations for Large-Scale Instances
AU - González-Ramírez, Rosa G.
AU - Smith, Neale R.
AU - Askin, Ronald
AU - Camacho-Vallejo, José Fernando
AU - González-Velarde, Jose Luis
N1 - Publisher Copyright:
© 2017 Rosa G. González-Ramírez et al.
PY - 2017
Y1 - 2017
N2 - We address a logistics districting problem faced by a parcel company whose operations consist of picking up and delivering packages over a service region. The districting process aims to find a partition of the service region into delivery and collection zones that may be served by a single vehicle that departs from a central depot. Criteria to be optimized are to balance workload content among the districts and to create districts of compact shape. A solution approach based on a hybrid procedure that combines elements of GRASP and Tabu Search (TS) is proposed to solve large-scale instances. Numerical experimentation is performed considering different instance sizes and types. Results show that the proposed solution approach is able to solve large-scale instances in reasonable computational times with good quality of the solutions obtained. To determine the quality of the solutions, results are compared with CPLEX solutions and with the current real solution to highlight the benefits of the proposed approach. Conclusions and recommendations for further research are provided.
AB - We address a logistics districting problem faced by a parcel company whose operations consist of picking up and delivering packages over a service region. The districting process aims to find a partition of the service region into delivery and collection zones that may be served by a single vehicle that departs from a central depot. Criteria to be optimized are to balance workload content among the districts and to create districts of compact shape. A solution approach based on a hybrid procedure that combines elements of GRASP and Tabu Search (TS) is proposed to solve large-scale instances. Numerical experimentation is performed considering different instance sizes and types. Results show that the proposed solution approach is able to solve large-scale instances in reasonable computational times with good quality of the solutions obtained. To determine the quality of the solutions, results are compared with CPLEX solutions and with the current real solution to highlight the benefits of the proposed approach. Conclusions and recommendations for further research are provided.
UR - http://www.scopus.com/inward/record.url?scp=85042422644&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042422644&partnerID=8YFLogxK
U2 - 10.1155/2017/4708135
DO - 10.1155/2017/4708135
M3 - Article
AN - SCOPUS:85042422644
SN - 1024-123X
VL - 2017
JO - Mathematical Problems in Engineering
JF - Mathematical Problems in Engineering
M1 - 4708135
ER -