Abstract
The problem of decreasing production costs through an appropriate management of available resources is fundamental in the field of industrial production. The performance of a flexible manufacturing system (FMS), not properly supported by an efficient resource management strategy, may be drastically limited, & the advantages derived from its flexibility in terms of production costs may suffer a sharp reduction. Furthermore, an FMS is composed of a large number of components, thus making the identification of a correct strategy for the management more difficult. In this paper a heuristic based genetic algorithm is proposed for generating optimized production plans in flexible manufacturing systems. The ability of the system to generate alternative plans following part-flow changes & unforeseen situations is particularly stressed (dynamic scheduling). The Key-point objective is the reduction of machine idle time obtained by an optimized evolutionary strategy needed to reach the optimal schedule in complex manufacturing systems.
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Kumar, M.V., Murthy, A.N.N. & Chandrasekhara, K. Dynamic scheduling of flexible manufacturing system using heuristic approach. OPSEARCH 48, 1–19 (2011). https://doi.org/10.1007/s12597-011-0041-6
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DOI: https://doi.org/10.1007/s12597-011-0041-6