A fuzzy possibilistic bi-objective hub covering problem considering production facilities, time horizons and transporter vehicles. Ghodratnama, A., Tavakkoli-Moghaddam, R., & Azaron, A. International Journal of Advanced Manufacturing Technology, 66(1-4):187--206, 2013.
A fuzzy possibilistic bi-objective hub covering problem considering production facilities, time horizons and transporter vehicles [link]Paper  abstract   bibtex   
This paper presents a novel fuzzy possibilistic bi-objective model for a hub covering location-allocation problem with specific features. Considering two major objectives is the main novelty of this problem, comparing to the previous studies. The first objective is to minimize the total costs consisting of (1) covering costs, (2) transportation costs, (3) opening costs of facilities in hubs, (4) reopening costs of facilities in hubs, (5) activating costs of facilities in hubs, and (6) transporters purchasing costs. The second objective is to minimize the sum of the times of shipping commodities by transporters from the origin node to the destination node via hubs. Furthermore, to come closer to reality, the main parameters of the proposed mathematical model are regarded as fuzzy ones. To solve the proposed multi-objective model, four recent approaches are used and the results are compared with each other. © 2012 Springer-Verlag London Limited.
@article{ ghodratnama_fuzzy_2013,
  title = {A fuzzy possibilistic bi-objective hub covering problem considering production facilities, time horizons and transporter vehicles},
  volume = {66},
  url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84875470336&partnerID=40&md5=6a3034337dc8608e0acc621531d73299},
  abstract = {This paper presents a novel fuzzy possibilistic bi-objective model for a hub covering location-allocation problem with specific features. Considering two major objectives is the main novelty of this problem, comparing to the previous studies. The first objective is to minimize the total costs consisting of (1) covering costs, (2) transportation costs, (3) opening costs of facilities in hubs, (4) reopening costs of facilities in hubs, (5) activating costs of facilities in hubs, and (6) transporters purchasing costs. The second objective is to minimize the sum of the times of shipping commodities by transporters from the origin node to the destination node via hubs. Furthermore, to come closer to reality, the main parameters of the proposed mathematical model are regarded as fuzzy ones. To solve the proposed multi-objective model, four recent approaches are used and the results are compared with each other. © 2012 Springer-Verlag London Limited.},
  number = {1-4},
  journal = {International Journal of Advanced Manufacturing Technology},
  author = {Ghodratnama, A and Tavakkoli-Moghaddam, R and Azaron, A},
  year = {2013},
  keywords = {All, Covering Problem, Fuzzified objective function and fuzzified constra, Hub covering problem, Integer linear programming},
  pages = {187--206}
}

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