Abstract
Abstract: The dynamics of the interaction between different levels in production system is the study of many research groups to seek a better understanding of the complex nature of such systems to propose an effective and efficiency from rational use of available resources and required inputs. Demand for products increasingly customized by a dynamic and competitive market has reduced considerably the life cycle of such products and flexibility of production processes has become essential for companies. Flexibility is not only one attribute, but a set of attributes that provides the flexibility for production systems. The interactions between the flexible sub-systems are sources of waste and rework, causing high costs in the production process. In this sense, the concept of Lean Manufacturing has promoted a restructuring of some processes of the MES (Manufacturing Execution Systems), responsible for managing the activities of production, integrate data from the ERP (Enterprise Resource Planning) and synchronize production tasks the flow of materials, making them oriented by the demand. One other important aspect in the industrial context is the new future vision promoted by Industry 4.0 paradigm that is envisioned a complete decentralization of control of the production system by autonomous and intelligent devices interconnected by a communication system, that contribute to the global goals of the enterprise. The ANSI/ISA S95 presents a conceptual model that may contribute to the implementation of the industry 4.0 concept. The objective of this study is to present a proposal for modeling of objects in level 3 of the S95 standard using interpreted Petri nets.
Highlights
The evolution of production systems is associated with the development of new automation and information technologies
The control model proposed in this paper contribute to the proposal of industry 4.0 in order to propose an adequate methodology for integrating the management systems with the factory floor based on the American National Standards Institute (ANSI) / ISA S95 standard (Harjunkoski et al, 2009; Khedher et al, 2011)
The reason for the adoption is the behavior of the Manufacturing Execution System (MES) belongs to the class of Dynamic Systems to Discrete Events (Ho, 1989; Cassandras & Lafortune, 2008), that is, the evolution of the states in this class of system occurs asynchronous from the occurrence of events that because an instantaneous transition of states
Summary
The evolution of production systems is associated with the development of new automation and information technologies. The application of these new technologies is determinant in the performance of companies to meet the demands of a dynamic and competitive market for products with reduced and increasingly customized life cycles (Nakamoto, 2008). The business model of an industrial company has at least three levels: planning, execution and control. The control level or Manufacturing Execution System (MES), responsible for managing production activities, integrate ERP system data and synchronize production tasks with the material flow, making them demand-driven. Systems applied in the modeling of control of flexible productive systems (Miyagi, 1996; Santos, 2000; Matsusaki, 2004; Nakamoto et al, 2009; Asato, 2015; Kubo et al, 2016), which results in the modeling in interpreted Petri nets (Peterson, 1981; Reisig, 1985; Murata, 1989)
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