Solving Assembly Scheduling Problems With Tree-Structure Precedence Constraints: A Lagrangian Relaxation Approach

被引:18
|
作者
Xu, Jingyang [1 ]
Nagi, Rakesh [1 ]
机构
[1] SUNY Buffalo, Dept Ind & Syst Engn, Buffalo, NY 14214 USA
关键词
Assembly scheduling; Lagrangian relaxation (LR); makespan; parallel machine scheduling; randomized algorithm; subgradient search; SURROGATE GRADIENT ALGORITHM; RELEASE DATES; SHOP; MINIMIZE; JOBS;
D O I
10.1109/TASE.2013.2259816
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we consider an assembly scheduling problem (ASP) with tree-structured precedence constraints. In our problem, there are a number of work centers. Each work center contains a number of machines of the same functionality. The job to be processed via this system is a job with tree-structure precedence constraints. Each operation in the job has a designated work center. We propose a mixed integer linear programming formulation and solve the problem with a Lagrangian relaxation (LR) approach. We solve the subproblems of the LR problem via a heuristic method and generate feasible solutions via a randomized list scheduling algorithm. Near-optimal results are obtained and the computational time is within a few seconds for problems with size up to 20 machines and 300 operations.
引用
收藏
页码:757 / 771
页数:15
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