Drop-and-pull container drayage with flexible assignment of work break for vehicle drivers

•A drop-and-pull container drayage with flexible work break is addressed.•A mixed-integer programming model is constructed to formulate this problem.•Three families of valid inequalities are proposed to strengthen the model.•A model-based backtracking adaptive threshold accepting algorithm is develo...

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Vydáno v:Computers & operations research Ročník 162; s. 106475
Hlavní autoři: Wang, Decheng, Zhang, Ruiyou, Qiu, Bin, Chen, Wenpeng, Xie, Xiaolan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.02.2024
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ISSN:0305-0548
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Abstract •A drop-and-pull container drayage with flexible work break is addressed.•A mixed-integer programming model is constructed to formulate this problem.•Three families of valid inequalities are proposed to strengthen the model.•A model-based backtracking adaptive threshold accepting algorithm is developed.•Managerial insights are presented on the work break. Consideration of driver-related constraints, such as mandatory work break, in vehicle scheduling and routing is of extraordinary importance for safety driving and guaranteeing the interests of vehicle drivers. Drop-and-pull transportation is an efficient mode in container drayage services and creates interdependencies between the routes of vehicle drivers. The situation becomes even more complicated when the drivers must comply with requirements of the mandatory work break. This paper addresses a drop-and-pull container drayage problem with flexible assignment of work break. The time and location of work break for drivers can be flexibly chosen based on scheduling, routing and optimization requirements. The transportation vehicle is comprised of two parts as a tractor and a trailer. The tractor can drag at most one trailer at a time, and is separable from the trailer when executing drayage activities. The problem is formulated as a mixed-integer programming model, which is then strengthened by proposing several families of valid inequalities. To efficiently solve realistic-sized instances, a backtracking adaptive threshold accepting algorithm with a mixed-integer programming model specially coping with the assignment of work break is proposed. Mechanisms of tabu search are incorporated to enhance the searching ability of the algorithm. Experiments indicate that the proposed algorithm can efficiently handle the vehicle scheduling and routing as well as the work break assignment and outperforms the mathematical programming approach. Sensitivity analyses about different policies and varied length of the work break are also conducted with some managerial insights presented.
AbstractList •A drop-and-pull container drayage with flexible work break is addressed.•A mixed-integer programming model is constructed to formulate this problem.•Three families of valid inequalities are proposed to strengthen the model.•A model-based backtracking adaptive threshold accepting algorithm is developed.•Managerial insights are presented on the work break. Consideration of driver-related constraints, such as mandatory work break, in vehicle scheduling and routing is of extraordinary importance for safety driving and guaranteeing the interests of vehicle drivers. Drop-and-pull transportation is an efficient mode in container drayage services and creates interdependencies between the routes of vehicle drivers. The situation becomes even more complicated when the drivers must comply with requirements of the mandatory work break. This paper addresses a drop-and-pull container drayage problem with flexible assignment of work break. The time and location of work break for drivers can be flexibly chosen based on scheduling, routing and optimization requirements. The transportation vehicle is comprised of two parts as a tractor and a trailer. The tractor can drag at most one trailer at a time, and is separable from the trailer when executing drayage activities. The problem is formulated as a mixed-integer programming model, which is then strengthened by proposing several families of valid inequalities. To efficiently solve realistic-sized instances, a backtracking adaptive threshold accepting algorithm with a mixed-integer programming model specially coping with the assignment of work break is proposed. Mechanisms of tabu search are incorporated to enhance the searching ability of the algorithm. Experiments indicate that the proposed algorithm can efficiently handle the vehicle scheduling and routing as well as the work break assignment and outperforms the mathematical programming approach. Sensitivity analyses about different policies and varied length of the work break are also conducted with some managerial insights presented.
ArticleNumber 106475
Author Wang, Decheng
Zhang, Ruiyou
Chen, Wenpeng
Qiu, Bin
Xie, Xiaolan
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  surname: Qiu
  fullname: Qiu, Bin
  organization: College of Information Science and Engineering, Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, No. 319, Yanshan Street, Yanshan District, Guilin 541006, Guangxi Zhuang Autonomous Region, China
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  surname: Chen
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  givenname: Xiaolan
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  surname: Xie
  fullname: Xie, Xiaolan
  email: xie_xiao_lan@foxmail.com
  organization: College of Information Science and Engineering, Guangxi Key Laboratory of Embedded Technology and Intelligent System, Guilin University of Technology, No. 319, Yanshan Street, Yanshan District, Guilin 541006, Guangxi Zhuang Autonomous Region, China
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Keywords Container drayage
Drop-and-pull transportation
Backtracking adaptive threshold accepting algorithm
Mixed-integer programming model
Work break
Language English
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Snippet •A drop-and-pull container drayage with flexible work break is addressed.•A mixed-integer programming model is constructed to formulate this problem.•Three...
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SubjectTerms Backtracking adaptive threshold accepting algorithm
Container drayage
Drop-and-pull transportation
Mixed-integer programming model
Work break
Title Drop-and-pull container drayage with flexible assignment of work break for vehicle drivers
URI https://dx.doi.org/10.1016/j.cor.2023.106475
Volume 162
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