The location-routing problem with multi-compartment and multi-trip: formulation and heuristic approaches
被引:8
作者:
Moon, Ilkyeong
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Seoul Natl Univ, Dept Ind Engn, Seoul, South Korea
Seoul Natl Univ, Inst Ind Syst Innovat, Seoul, South KoreaSeoul Natl Univ, Dept Ind Engn, Seoul, South Korea
Moon, Ilkyeong
[1
,2
]
Salhi, Said
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机构:
Univ Kent, Kent Business Sch, Ctr Logist & Heurist Optimizat, Canterbury, Kent, EnglandSeoul Natl Univ, Dept Ind Engn, Seoul, South Korea
Salhi, Said
[3
]
Feng, Xuehao
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Zhejiang Univ, Ocean Coll, Hangzhou 310058, Peoples R ChinaSeoul Natl Univ, Dept Ind Engn, Seoul, South Korea
Feng, Xuehao
[4
]
机构:
[1] Seoul Natl Univ, Dept Ind Engn, Seoul, South Korea
[2] Seoul Natl Univ, Inst Ind Syst Innovat, Seoul, South Korea
[3] Univ Kent, Kent Business Sch, Ctr Logist & Heurist Optimizat, Canterbury, Kent, England
[4] Zhejiang Univ, Ocean Coll, Hangzhou 310058, Peoples R China
The location-routing problem with multi-compartment and multi-trip is an extension to the standard location-routing problem. In this problem, depots are used to deliver different products using heterogeneous vehicles with several compartments. Each compartment has a limited capacity and is dedicated to a single type of product. The problem is formulated as a mixed integer program. A constructive heuristic and a hybrid genetic algorithm (HGA) are proposed. Numerical experiments show that both heuristics can efficiently determine the optimal solutions on small size instances. For larger ones, the HGA outperforms the constructive heuristic with relatively more computational time. Managerial insights have been obtained from sensitivity analyses which would be helpful to improve the performance of the supply network.
机构:
Shanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R ChinaShanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R China
Zhen, Lu
Ma, Chengle
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机构:
Shanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R ChinaShanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R China
Ma, Chengle
Wang, Kai
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机构:
Shanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R China
MIT, Sloan Sch Management, 77 Massachusetts Ave, Cambridge, MA 02139 USAShanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R China
Wang, Kai
Xiao, Liyang
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机构:
Shanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R ChinaShanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R China
Xiao, Liyang
Zhang, Wei
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机构:
Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R ChinaShanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R China
机构:
Shanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R ChinaShanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R China
Zhen, Lu
Ma, Chengle
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机构:
Shanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R ChinaShanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R China
Ma, Chengle
Wang, Kai
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机构:
Shanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R China
MIT, Sloan Sch Management, 77 Massachusetts Ave, Cambridge, MA 02139 USAShanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R China
Wang, Kai
Xiao, Liyang
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机构:
Shanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R ChinaShanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R China
Xiao, Liyang
Zhang, Wei
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机构:
Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R ChinaShanghai Univ, Sch Management, Shang Da Rd 99, Shanghai 200444, Peoples R China