2013
DOI: 10.1016/j.ijpe.2013.01.020
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The heterogeneous fleet vehicle routing problem with overloads and time windows

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Cited by 38 publications
(19 citation statements)
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“…4) The benchmark of Paraskevopoulos et al (2008) for the HFTW is a subset of the FSMTW instances, in which the fleet size is set equal to that found in the best known solutions of Liu and Shen (1999a). In total, there are 24 benchmark instances derived from Liu and Shen (1999a) Ochi et al (1998a) DE, PS 12 Ochi et al (1998b) DE, PS 13 Gendreau et al (1999) TS 14 Liu and Shen (1999a) TW CT 15 Liu and Shen (1999b) TW CT 16 Irnich (2000) PD • LB, SP 17 Dullaert et al (2002) TW CT 18 Han and Cho (2002) CT 19 Renaud and Boctor (2002) • SP, CT 20 Wassan and Osman (2002) TS 21 • AP 40 Xu et al (2012) TW, MD • VNS 41 Belfiore and Yoshizaki (2013) TW, PD • SS 42 De la Cruz et al (2013) TW, OV • ACO 43 Franceschelli et al (2013) MV • CT 44 Kopfer and Kopfer (2013) • MIP 45 Kritikos and Ioannou (2013) TW, OV • CT 46 Leung et al (2013) TDL SA 47 Salhi et al (2013) BC Euchi and Chabchoub (2010) • TS 15 Li et al (2010) AMP 16 Tütüncü (2010) BC CH 17 Bettinelli et al (2011) TW, MD • BCP 18 Brandão et al (2011) TS 19 Potvin and Naud (2011) • TS 20 Li et al (2012) OP AMP, TS 21 Naji-Azimi and Salari (2013) • CH 22 Belmecheri et al (2013) TW, BC • PSO 23 Kwon et al (2013) GR • Koç et al (2015) TW PS A.1, A.2 and A.3 in the Appendix. In these tables, the first column provides the references, and for each reference two performance indicators are shown: the average percentage deviation (Dev) from the value of the best-known solution (BKS) for each instance retrieved from the articles surveyed, and the average computation time in seconds (Time).…”
Section: Discussionmentioning
confidence: 99%
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“…4) The benchmark of Paraskevopoulos et al (2008) for the HFTW is a subset of the FSMTW instances, in which the fleet size is set equal to that found in the best known solutions of Liu and Shen (1999a). In total, there are 24 benchmark instances derived from Liu and Shen (1999a) Ochi et al (1998a) DE, PS 12 Ochi et al (1998b) DE, PS 13 Gendreau et al (1999) TS 14 Liu and Shen (1999a) TW CT 15 Liu and Shen (1999b) TW CT 16 Irnich (2000) PD • LB, SP 17 Dullaert et al (2002) TW CT 18 Han and Cho (2002) CT 19 Renaud and Boctor (2002) • SP, CT 20 Wassan and Osman (2002) TS 21 • AP 40 Xu et al (2012) TW, MD • VNS 41 Belfiore and Yoshizaki (2013) TW, PD • SS 42 De la Cruz et al (2013) TW, OV • ACO 43 Franceschelli et al (2013) MV • CT 44 Kopfer and Kopfer (2013) • MIP 45 Kritikos and Ioannou (2013) TW, OV • CT 46 Leung et al (2013) TDL SA 47 Salhi et al (2013) BC Euchi and Chabchoub (2010) • TS 15 Li et al (2010) AMP 16 Tütüncü (2010) BC CH 17 Bettinelli et al (2011) TW, MD • BCP 18 Brandão et al (2011) TS 19 Potvin and Naud (2011) • TS 20 Li et al (2012) OP AMP, TS 21 Naji-Azimi and Salari (2013) • CH 22 Belmecheri et al (2013) TW, BC • PSO 23 Kwon et al (2013) GR • Koç et al (2015) TW PS A.1, A.2 and A.3 in the Appendix. In these tables, the first column provides the references, and for each reference two performance indicators are shown: the average percentage deviation (Dev) from the value of the best-known solution (BKS) for each instance retrieved from the articles surveyed, and the average computation time in seconds (Time).…”
Section: Discussionmentioning
confidence: 99%
“…Other extensions include stochastic demand (Teodorović et al, 1995), pickups and deliveries (Irnich, 2000;Qu and Bard, 2014), multi-trips (Prins, 2002;Seixas and Mendes, 2013), the use of external carriers (Chu, 2005;Potvin and Naud, 2011), backhauls (Belmecheri et al, 2013;Salhi et al, 2013), open routes (Li et al, 2012), overloads (Kritikos and Ioannou, 2013), site-dependencies (Nag et al, 1988;Chao et al, 1999), multi-vehicle task assignment (Franceschelli et al, 2013), green routing Koç et al, 2014), single and double container loads (Lai et al, 2013), two-dimensional loading (Leung et al, 2013;Dominguez et al, 2014), time-dependencies (AfsharNadjafi and Afshar-Nadjafi, 2014), multi-compartments (Wang et al, 2014), multiple stacks (Iori and RieraLedesma, 2015) and collection depot (Yao et al, 2015).…”
Section: Other Variantsmentioning
confidence: 99%
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“…The vehicles can differ in several aspects like size, costs, capacity or range. An overview on the HFVRP can be found in Subramanian et al [45], Penna et al [36], Kritikos and Ioannou [31] Koç et al [30] and Baldacci et al [3]. Earlier research with a heterogeneous fleet is named Fleet Size Mix (FSM) and can be found in Golden et al [26] or Liu and Shen [35].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In general, the penalty cost is raised from the punctuality of delivery [164,182,183,195], the ability of meeting the demands [187,189,196], the capability of vehicles [184,197], waste of product [193], congestion charge [198], and so forth.…”
Section: Vrpmentioning
confidence: 99%