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Author (up) Pereira, J.; Ritt, M. doi  openurl
  Title Exact and heuristic methods for a workload allocation problem with chain precedence constraints Type
  Year 2023 Publication European Journal Of Operational Research Abbreviated Journal Eur. J. Oper. Res.  
  Volume 309 Issue 1 Pages 387-398  
  Keywords Manufacturing; Assembly line balancing; Worker allocation; Dynamic programming; Branch and bound  
  Abstract Industrial manufacturing is often organized in assembly lines where a product is assembled on a se-quence of stations, each of which executes some of the assembly tasks. A line is balanced if the maximum total execution time of any station is minimal. Commonly, the task execution order is constrained by precedences, and task execution times are independent of the station performing the task. Here, we con -sider a recent variation, called the “(Calzedonia) Workload Allocation Problem” (WAP), where the prece-dences form a chain, and the execution time of a task depends on the worker executing it. This problem was recently proposed by Battarra et al. (2020) and it is a special case of the Assembly Line Worker As-signment and Balancing Problem Miralles et al. (2007) where precedence relations are arbitrary. In this paper we consider the computational complexity of the problem and prove its NP-hardness. To solve the problem, we provide different lower bounds and exact and heuristic procedures. The performance of the proposed methods is tested on previously proposed instances and on new, larger instances with the same characteristics. The results show that the proposed methods can solve instances with up to about 40 0 0 tasks and 29 workers, doubling the size of the instances that previously could be solved to optimality.  
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  Series Volume Series Issue Edition  
  ISSN 0377-2217 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000970067900001 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1794  
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