TY - GEN
T1 - Hybrid Covering Location Problem
T2 - 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
AU - Alizadeh, R.
AU - Nishi, T.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - To benefit from the location advantages provided from two main covering location problems, namely set covering location problem and maximal covering location problem, a new mathematical model is presented in this study. In this model, the main facilities are located gradually through the planning periods, providing full coverage for the incremental demand of nodes. In addition, a limited number of modules are assigned to the located facilities to maximize the covered demand nodes in operational periods. Combining the set covering and maximal covering location problems in one model, to take advantage of the merits of both models is studied. Some test problems are solved to investigate the proposed model. The numerical results confirm the applicability of the model and provide insights for the proposed model.
AB - To benefit from the location advantages provided from two main covering location problems, namely set covering location problem and maximal covering location problem, a new mathematical model is presented in this study. In this model, the main facilities are located gradually through the planning periods, providing full coverage for the incremental demand of nodes. In addition, a limited number of modules are assigned to the located facilities to maximize the covered demand nodes in operational periods. Combining the set covering and maximal covering location problems in one model, to take advantage of the merits of both models is studied. Some test problems are solved to investigate the proposed model. The numerical results confirm the applicability of the model and provide insights for the proposed model.
KW - Dynamic
KW - Set covering
KW - hybrid mathematical model
KW - maximal covering
KW - modular
UR - http://www.scopus.com/inward/record.url?scp=85079605145&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85079605145&partnerID=8YFLogxK
U2 - 10.1109/IEEM44572.2019.8978601
DO - 10.1109/IEEM44572.2019.8978601
M3 - Conference contribution
AN - SCOPUS:85079605145
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 865
EP - 869
BT - 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
PB - IEEE Computer Society
Y2 - 15 December 2019 through 18 December 2019
ER -