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Solving assembly scheduling problems with tree-structure precedence constraints: A Lagrangian relaxation approach
Journal article

Solving assembly scheduling problems with tree-structure precedence constraints: A Lagrangian relaxation approach

Jingyang Xu and Rakesh Nagi
IEEE transactions on automation science and engineering, Vol.10(3), pp.757-771
07/2013

Abstract

Assembly scheduling Bills of materials Job shop scheduling Lagrangian relaxation (LR) Linear programming makespan Manufacturing parallel machine scheduling Parallel machines randomized algorithm subgradient search
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.

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