An Implementation View on Job Shop Scheduling Based on CPM
نویسنده
چکیده
The scheduling of manufacturing processes aims to find sequences of jobs on given machines optimal by a selected criterion, e.g. minimal completion time of all operations. With respect to NP-hardness of these problems and the necessity to solve them by heuristic methods, the problem representation and the effectiveness of their procedures is substantial for computations to be completed in a reasonable amount of time. In this paper, we deal with job shop scheduling problem (JSSP) in a disjunctive graph-based representation. Turning all undirected edges into directed ones, the problem is transformed to a problem solvable by the Critical Path Method (CPM). We propose an original implementation of the CPM that makes it possible to decrease its time complexity and thus also the running time of all JSSP iterations. Key-Words: manufacturing process, job shop scheduling, NP-hard problem, disjunctive graph, CPM
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