Combined strip and discharge delivery of containers in heterogeneous fleets with time windows
Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are al...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yang, Xinan [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2021transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Influence of CeO - Aboutaleb, Wael A. ELSEVIER, 2021, an international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:127 ; year:2021 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.cor.2020.105141 |
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| 520 | |a Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. | ||
| 520 | |a Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. | ||
| 650 | 7 | |a Strip |2 Elsevier | |
| 650 | 7 | |a MILP |2 Elsevier | |
| 650 | 7 | |a Genetic algorithm |2 Elsevier | |
| 650 | 7 | |a Container transportation |2 Elsevier | |
| 650 | 7 | |a Discharge |2 Elsevier | |
| 700 | 1 | |a Daham, Hajem A. |4 oth | |
| 700 | 1 | |a Salhi, Abdellah |4 oth | |
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10.1016/j.cor.2020.105141 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001252.pica (DE-627)ELV052624471 (ELSEVIER)S0305-0548(20)30258-6 DE-627 ger DE-627 rakwb eng 540 530 VZ ASIEN DE-1a fid 6,25 ssgn 35.90 bkl 33.61 bkl 51.00 bkl Yang, Xinan verfasserin aut Combined strip and discharge delivery of containers in heterogeneous fleets with time windows 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. Strip Elsevier MILP Elsevier Genetic algorithm Elsevier Container transportation Elsevier Discharge Elsevier Daham, Hajem A. oth Salhi, Abdellah oth Enthalten in Elsevier Aboutaleb, Wael A. ELSEVIER Influence of CeO 2021 an international journal Amsterdam [u.a.] (DE-627)ELV00698584X volume:127 year:2021 pages:0 https://doi.org/10.1016/j.cor.2020.105141 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-ASIEN SSG-OLC-PHA 35.90 Festkörperchemie VZ 33.61 Festkörperphysik VZ 51.00 Werkstoffkunde: Allgemeines VZ AR 127 2021 0 |
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10.1016/j.cor.2020.105141 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001252.pica (DE-627)ELV052624471 (ELSEVIER)S0305-0548(20)30258-6 DE-627 ger DE-627 rakwb eng 540 530 VZ ASIEN DE-1a fid 6,25 ssgn 35.90 bkl 33.61 bkl 51.00 bkl Yang, Xinan verfasserin aut Combined strip and discharge delivery of containers in heterogeneous fleets with time windows 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. Strip Elsevier MILP Elsevier Genetic algorithm Elsevier Container transportation Elsevier Discharge Elsevier Daham, Hajem A. oth Salhi, Abdellah oth Enthalten in Elsevier Aboutaleb, Wael A. ELSEVIER Influence of CeO 2021 an international journal Amsterdam [u.a.] (DE-627)ELV00698584X volume:127 year:2021 pages:0 https://doi.org/10.1016/j.cor.2020.105141 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-ASIEN SSG-OLC-PHA 35.90 Festkörperchemie VZ 33.61 Festkörperphysik VZ 51.00 Werkstoffkunde: Allgemeines VZ AR 127 2021 0 |
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10.1016/j.cor.2020.105141 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001252.pica (DE-627)ELV052624471 (ELSEVIER)S0305-0548(20)30258-6 DE-627 ger DE-627 rakwb eng 540 530 VZ ASIEN DE-1a fid 6,25 ssgn 35.90 bkl 33.61 bkl 51.00 bkl Yang, Xinan verfasserin aut Combined strip and discharge delivery of containers in heterogeneous fleets with time windows 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. Strip Elsevier MILP Elsevier Genetic algorithm Elsevier Container transportation Elsevier Discharge Elsevier Daham, Hajem A. oth Salhi, Abdellah oth Enthalten in Elsevier Aboutaleb, Wael A. ELSEVIER Influence of CeO 2021 an international journal Amsterdam [u.a.] (DE-627)ELV00698584X volume:127 year:2021 pages:0 https://doi.org/10.1016/j.cor.2020.105141 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-ASIEN SSG-OLC-PHA 35.90 Festkörperchemie VZ 33.61 Festkörperphysik VZ 51.00 Werkstoffkunde: Allgemeines VZ AR 127 2021 0 |
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10.1016/j.cor.2020.105141 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001252.pica (DE-627)ELV052624471 (ELSEVIER)S0305-0548(20)30258-6 DE-627 ger DE-627 rakwb eng 540 530 VZ ASIEN DE-1a fid 6,25 ssgn 35.90 bkl 33.61 bkl 51.00 bkl Yang, Xinan verfasserin aut Combined strip and discharge delivery of containers in heterogeneous fleets with time windows 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. Strip Elsevier MILP Elsevier Genetic algorithm Elsevier Container transportation Elsevier Discharge Elsevier Daham, Hajem A. oth Salhi, Abdellah oth Enthalten in Elsevier Aboutaleb, Wael A. ELSEVIER Influence of CeO 2021 an international journal Amsterdam [u.a.] (DE-627)ELV00698584X volume:127 year:2021 pages:0 https://doi.org/10.1016/j.cor.2020.105141 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-ASIEN SSG-OLC-PHA 35.90 Festkörperchemie VZ 33.61 Festkörperphysik VZ 51.00 Werkstoffkunde: Allgemeines VZ AR 127 2021 0 |
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10.1016/j.cor.2020.105141 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001252.pica (DE-627)ELV052624471 (ELSEVIER)S0305-0548(20)30258-6 DE-627 ger DE-627 rakwb eng 540 530 VZ ASIEN DE-1a fid 6,25 ssgn 35.90 bkl 33.61 bkl 51.00 bkl Yang, Xinan verfasserin aut Combined strip and discharge delivery of containers in heterogeneous fleets with time windows 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. Strip Elsevier MILP Elsevier Genetic algorithm Elsevier Container transportation Elsevier Discharge Elsevier Daham, Hajem A. oth Salhi, Abdellah oth Enthalten in Elsevier Aboutaleb, Wael A. ELSEVIER Influence of CeO 2021 an international journal Amsterdam [u.a.] (DE-627)ELV00698584X volume:127 year:2021 pages:0 https://doi.org/10.1016/j.cor.2020.105141 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-ASIEN SSG-OLC-PHA 35.90 Festkörperchemie VZ 33.61 Festkörperphysik VZ 51.00 Werkstoffkunde: Allgemeines VZ AR 127 2021 0 |
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Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. |
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Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. |
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Inland transportation of containers contributes significantly to the total cost of container intermodal transportation. For this reason, it has received a lot of attention in the last few decades. While there are many reports of attempts to solve the problem out there, the variants considered are all simpler than the form addressed in this paper. Here, we consider the container transportation problem where pick-up and delivery orders, empty and loaded containers, Discharge and Strip of heterogeneous container types with time windows, are handled with heterogeneous truck fleets that carry one or two 20ft or one 40ft chassis. Moreover, to manage the movement and reuse of empty containers, two strategies for empties, i.e. Depot-turn and Street-turn, are simultaneously allowed in the problem setting. A novel MILP model for this rich transportation problem is developed, which applies to various scenarios, even when some functions/delivery modes/types of container, are disabled. Given the complexity of this problem, exact solution of large instances is not realistic. We, therefore, suggest a novel implementation of the Genetic Algorithm (GA) tailored to this particular problem in its rich form. It differs from existing ones for VRP problems due to the nature of the problem we are considering. Numerical experiments on examples with real geographical data show that combining Discharge and Strip containers in transportation saves on cost and increases fleet utilisation. |
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