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Release control policies support the management of factories by deciding when a job or part can enter a manufacturing system, cell, or a single machine. Effective release control policies are essential to ensure the smooth operation of a complex factory, but modelling and implementing them in performance evaluation models is a rather complex task. Although discrete-event simulation (DES) models can evaluate the performance of systems without imposing constraining hypotheses, the modelling of control mechanisms strongly depends on the specific commercial-off-the-shelf simulation package (CSP). This essay provides insights and a detailed description of implementing release control policies in DES models, leveraging a modular representation of policies and their relations with production systems and plans. Starting from the definition of a controller, modelled after the IEC 61499 standard, and defining how production resources are managed, a statechart-based representation of the control mechanism is generated and linked to a factory data model structured as a modular OWL ontology based on existing technical standards. This unified framework is exploited as a key enabler for generating a DES model of a manufacturing system and its control mechanisms, guaranteeing an unambiguous implementation of control policies not depending only on non-transparent assumptions. A detailed description of the approach is provided for different release control policies (e.g., CONWIP, Kanban), with example implementations in the PlantSimulation and AnyLogic environments, two well-established commercial DES software packages.

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A Modular Framework for Implementing Release Control Policies in Discrete-Event Simulation Models

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  • 发表日期：

    2026年

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  • Marcello Urgo,
  • Walter Terkaj,
  • Aydin Nassehi,
  • Qunfen QI

摘要

Release control policies support the management of factories by deciding when a job or part can enter a manufacturing system, cell, or a single machine. Effective release control policies are essential to ensure the smooth operation of a complex factory, but modelling and implementing them in performance evaluation models is a rather complex task. Although discrete-event simulation (DES) models can evaluate the performance of systems without imposing constraining hypotheses, the modelling of control mechanisms strongly depends on the specific commercial-off-the-shelf simulation package (CSP). This essay provides insights and a detailed description of implementing release control policies in DES models, leveraging a modular representation of policies and their relations with production systems and plans. Starting from the definition of a controller, modelled after the IEC 61499 standard, and defining how production resources are managed, a statechart-based representation of the control mechanism is generated and linked to a factory data model structured as a modular OWL ontology based on existing technical standards. This unified framework is exploited as a key enabler for generating a DES model of a manufacturing system and its control mechanisms, guaranteeing an unambiguous implementation of control policies not depending only on non-transparent assumptions. A detailed description of the approach is provided for different release control policies (e.g., CONWIP, Kanban), with example implementations in the PlantSimulation and AnyLogic environments, two well-established commercial DES software packages.