2012
DOI: 10.1016/j.ijpe.2011.11.014
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Location routing for small package shippers with subcontracting options

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Cited by 31 publications
(22 citation statements)
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“…A presentation of these different solution approaches to distribution system models is provided in Table 1. Marinakis and Marinaki (2008b) Hybrid particle swarm optimisation; multiple phase neighbourhood search -greedy randomized adaptive search procedure Yang and Zi-Xia (2009) Sequential and iterative procedure using particle swarm optimisation Liu et al (2012) Multi-objective particle swarm optimisation combined with grey relational analysis and entropy weight Gendreau et al (1994) Tabu search heuristic with a generalised insertion procedure Tuzun and Burke (1999) Two-phase Tabu search algorithm coded in C Chiang and Russell (2004) Set partitioning approach and tabu search algorithm Melechovský et al (2005) p-median approach to find an initial feasible solution and a meta-heuristic integrating variable neighbourhood search and Tabu search to improve the solution Albareda-Sambola et al (2005) Tabu search metaheuristic solution with CPLEX 6.5 solver Lin and Kwok (2006) A combined Tabu search and simulated annealing metaheuristics Caballero et al (2007) Multi-objective combinatorial optimisation based on tabu search Russell et al (2008) Reactive Tabu search method based metaheuristics approach Schwardt and Fischer (2009) A neural network approach based on a self-organising map Lin et al (2002) Metaheuristics approach based on threshold accepting and simulated annealing Wu et al (2002) Simulated annealing Yu et al (2010) Simulated annealing Stenger et al (2012) Simulated annealing Prins et al (2006a) Greedy randomised adaptive search procedure Duhamel et al (2010) Greedy randomised adaptive search procedure Nguyen et al (2012) Greedy randomised adaptive search procedure Ghodsi and Amiri (2010) Variable neighbourhood search algorithm Derbel et al (2011) Variable neighbourhood search algorithm Bell and McMullen (2004) Ant colony optimisation Bin et al (2009) Ant colony optimisation Ting and Chen (2012) Ant colony optimisation Hwang (2002) Genetic algorithm Prins et al (2006b) Genetic algorithm Zhou and Liu (2007) Genetic algorithm Marinak...…”
Section: Overview Of the Related Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…A presentation of these different solution approaches to distribution system models is provided in Table 1. Marinakis and Marinaki (2008b) Hybrid particle swarm optimisation; multiple phase neighbourhood search -greedy randomized adaptive search procedure Yang and Zi-Xia (2009) Sequential and iterative procedure using particle swarm optimisation Liu et al (2012) Multi-objective particle swarm optimisation combined with grey relational analysis and entropy weight Gendreau et al (1994) Tabu search heuristic with a generalised insertion procedure Tuzun and Burke (1999) Two-phase Tabu search algorithm coded in C Chiang and Russell (2004) Set partitioning approach and tabu search algorithm Melechovský et al (2005) p-median approach to find an initial feasible solution and a meta-heuristic integrating variable neighbourhood search and Tabu search to improve the solution Albareda-Sambola et al (2005) Tabu search metaheuristic solution with CPLEX 6.5 solver Lin and Kwok (2006) A combined Tabu search and simulated annealing metaheuristics Caballero et al (2007) Multi-objective combinatorial optimisation based on tabu search Russell et al (2008) Reactive Tabu search method based metaheuristics approach Schwardt and Fischer (2009) A neural network approach based on a self-organising map Lin et al (2002) Metaheuristics approach based on threshold accepting and simulated annealing Wu et al (2002) Simulated annealing Yu et al (2010) Simulated annealing Stenger et al (2012) Simulated annealing Prins et al (2006a) Greedy randomised adaptive search procedure Duhamel et al (2010) Greedy randomised adaptive search procedure Nguyen et al (2012) Greedy randomised adaptive search procedure Ghodsi and Amiri (2010) Variable neighbourhood search algorithm Derbel et al (2011) Variable neighbourhood search algorithm Bell and McMullen (2004) Ant colony optimisation Bin et al (2009) Ant colony optimisation Ting and Chen (2012) Ant colony optimisation Hwang (2002) Genetic algorithm Prins et al (2006b) Genetic algorithm Zhou and Liu (2007) Genetic algorithm Marinak...…”
Section: Overview Of the Related Methodsmentioning
confidence: 99%
“…For example, logistics models have been implemented for small package shippers (Stenger et al 2012), the shipping industry (Gunnarsson et al 2006), blood bank location (Or and Pierskalla 1979), newspaper distribution (Jacobsen and Madsen 1980;Madsen 1983), waste collection (Kulcar 1996;Caballero et al 2007 Daskin 1984, 1985). Lin et al (2002) report an application of a distribution model to the bill delivery services of a telecommunication service provider based in Hong Kong.…”
Section: Applications Of Distribution System Modelsmentioning
confidence: 99%
“…Among these researches, a variety of LRP variants were demonstrated: multitrip LRP (Rath and Gutjahr, ), LRP with time windows (Ponboon et al., ), LRP with subcontracting options (Stenger et al., ), LRP with simultaneous delivery and pickup (Karaoglan et al., ; Rieck et al., ; Yu and Lin, , 2016; Rahmani et al., , ), LRP with demands split (Rath and Gutjahr, ; Wang et al., ), LRP with depots connected with ring (Gianessi et al., ), and more complex variants such as LRP with multiperiod planning (Prodhon and Prins, ; Klibi et al., ) and LRP with inventory management etc. (Liu and Lee, ; Guerrero et al., ; Rath and Gutjahr, ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Several optimisation techniques have been applied in designing distribution systems. Optimisation techniques are used for reducing operational and overall costs in different distribution systems, for example, food and drink distribution (Watson-Gandy and Dohrn 1973), goods distribution (Perl andDaskin 1984, 1985), agricultural goods transport (Ljungberg et al 2007), forest harvesting (Rönnqvist et al 2007), waste collection (Apaydin and Gonullu 2008;Caballero et al 2007;Kulcar 1996), disposal of hazardous material (Alumur and Kara 2007), obnoxious facility location-routing (Cappanera et al 2004), small package shippers (Stenger et al 2012), shipping industry (Gunnarsson et al 2006), blood bank location (Or and Pierskalla 1979) and medical evacuation ( Chan et al 2001).…”
Section: Distribution Systems and The Food Supply Chainmentioning
confidence: 99%
“…A short up to date synopsis of optimisation models in distribution systems is presented in Table 1, but for a more detailed historical survey of the varying distribution system techniques and their origins the interested reader is referred to Madsen (1983), Min et al (1998), Kenyon and Morton (2001), and Nagy and Salhi (2007). Lin et al (2002), Yu et al (2010), Stenger et al (2012). Greedy randomised adaptive search optimisation Prins et al (2006), Duhamel et al (2010), Nguyen et al (2012) Variable neighbourhood search optimisation Melechovský et al (2005), Ghodsi and Amiri (2010), Derbel et al (2011) Genetic algorithms Zhou and Liu (2007), , Jin et al (2010), Karaoglan and Altiparmak (2010) Branch and cut optimisation Belenguer et al (2011), Karaoglan et al (2011) Mixed-integer programming; Integer linear programming Alumur and Kara (2007), Diabat and Simchi-Levi (2009);Laporte et al (1989); Ambrosino and Scutella (2005) …”
Section: Distribution Systems and The Food Supply Chainmentioning
confidence: 99%