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            <idno type="halRefHtml">&lt;i&gt;Engineering Applications of Artificial Intelligence&lt;/i&gt;, 2012, 25 (4), pp.824 à 836. &lt;a target="_blank" href="https://dx.doi.org/10.1016/j.engappai.2012.01.005"&gt;&amp;#x27E8;10.1016/j.engappai.2012.01.005&amp;#x27E9;&lt;/a&gt;</idno>
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              <p>To respond rapidly to the highly volatile market, the reconfigurable manufacturing systems (RMS) have brought forward challenging issues. First of all there is a need to build a formal model of a manufacturing configuration. Second it has to be rather easy to derive the models associated to the manufacturing configuration changes (reconfiguration) from such an initial model. An off-line method of rapid design of an optimal logic control law (configuration) based on Petri net (PN) is presented in this paper. From a controlled system modeling point of view, the main characteristics of the level 1 of the CIM architecture are depicted. Subsequently, the formal tool used in the automated planning field is extended to provide a controlled system model. The concept of operation is structured in order to introduce the behavioral properties of the operations. A four-step method is then proposed to design a logic control law that satisfies several goals: reduction of the lead time, satisfaction of the work orders objectives, minimization of the time cycle. Finally, the proposed design method is illustrated on a manufacturing cell.</p>
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