1,721,304 research outputs found
System Dynamics Models for Business Process Optimization: An Application to Supply Chain Managemen
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Reflective Simulation for On-Line Staff Scheduling: An Innovative Methodology in Distribution Logistics Industry Application
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An Anticipatory Control System Based on On-Line Real-Time Simulation for Supporting Rescheduling of Complex Industrial Plants with High Automation System
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Scenario And Risk Management Simulation For Supporting Strategical Operational Management in Process and Manufacturing Industry
No full textPlenary Lecture 11: Create a Self-modeling Dss in the Cloud: Perspectives, Methodologies and Case Studies
No full textThe raise of BRICs countries has been regarded recently as an opportunity for cost reduction from western companies resulting in a pressure to increase of the delocalization of the production process with the consequence of increasing of the management complexity requiring specific ERP systems able to deal with new and improved process. Every company has business processes in order to manufacture products, to provide services, to purchase goods and even to maintain plants and company's assets; the basic of every change is the knowledge of the process and the understanding the possible evolution. In nowadays systems information systems and cloud infrastructures record events; these events can be used to make processes visible and thus a modeling framework may provide the insights necessary to manage, control, and improve processes. This plenary talk present a survey over the current trend and methodologies applied to provide self modeling capabilities to modern Cloud based ERS. A possible approach and a set of 3 case studies where Computational Intelligence may assist the "self modeling" of complex processes are presented
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