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Engineering change order processing in ERP systems: an integrated reactive model

Benoit Saenz De Ugarte, Adnene Hajji, Robert Pellerin and Abdelhakim Artiba

European Journal of Industrial Engineering, 2010, vol. 4, issue 4, 394-412

Abstract: Manufacturing execution system (MES) provides a common and single system to support most manufacturing processes. However, MES applications do not address all of the manufacturing execution processes required to replenish the supply chain while dynamically responding to unpredicted change and fall short of adding decision-making tools capabilities. To fill this gap, we propose a generic manufacturing execution platform that provides real-time decision support in reaction to disturbing events. More precisely, we demonstrate how this approach can support engineering change order processing in ERP-controlled environments. Our demonstrative example based on a real scenario in the aerospace industry illustrates how a genetic algorithm and a real-time discrete event simulation model can be integrated within an ERP and MES system platform. [Received 26 September 2008; Revised 23 April 2009; Accepted 6 December 2009]

Keywords: manufacturing execution systems; MES; enterprise resource planning; ERP; discrete event simulation; modelling; genetic algorithms; adaptive manufacturing; integration; engineering change orders; reactive models; manufacturing processes; SCM; supply chain management; unpredicted changes; decision making; real-time support; disturbing events; controlled environments; aerospace industry; optimisation. (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (1)

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