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A Petri net approach for simple assembly line balancing problems

机译:用于简单流水线平衡问题的Petri网方法

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A simple assembly line balancing problem of type-1 (SALBP-1) aims to minimize the number of workstations for a given cycle time. In the relevant literature, several heuristics based on a branch-and-bound procedure, tabu search, and genetic algorithms (GAs) were proposed to solve SALBP-1. In this paper, an algorithm based on the reachability analysis of Petri nets is developed for SALBP-1. The proposed algorithm searches enabled transitions (or assignable tasks) in the Petri net model of precedence relations between tasks, and then the task minimizing the idle time is assigned to the station under consideration. The algorithm is coded in MATLAB, and its efficiency is tested on Talbot's and Hoffmann's benchmark datasets according to some performance measures and classifications. A computational study validates its effectiveness on Tonge's 70-task problem by comparison with optimal solutions of traditional heuristics and a GA.
机译:一个简单的类型1流水线平衡问题(SALBP-1)的目的是在给定的周期时间内最小化工作站的数量。在相关文献中,提出了几种基于分支定界过程,禁忌搜索和遗传算法(GA)的启发式方法来求解SALBP-1。本文基于Petri网的可达性分析,为SALBP-1开发了一种算法。所提出的算法在任务之间优先级关系的Petri网模型中搜索启用的过渡(或可分配任务),然后将空闲时间最小的任务分配给正在考虑的站点。该算法在MATLAB中进行了编码,并根据一些性能指标和分类在Talbot和Hoffmann的基准数据集中测试了其效率。一项计算研究通过与传统启发式算法和遗传算法的最佳解决方案进行比较,验证了其在Tonge的70个任务问题上的有效性。

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