Modeling and simulation approach for an industrial manufacturing execution system

Rabbani, Muhammad Junaid; Ahmad, Faisal Mahmood; Baladi, Jibran; Khan, Yasir Amir

doi:10.1109/icsengt.2013.6650137

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…Instead of code generation, the components can be enabled or disabled to fulfill the requirements of the business process. A modeling approach that uses a state chart for describing and simulating the sequence of operation in MES was presented in [51]. However, the focus was on the modeling and simulation phase, and it lacked further steps for generating an operational system.…”

Section: Mde For Production Management Systemsmentioning

confidence: 99%

Manufacturing Execution Systems for the Food and Beverage Industry: A Model-Driven Approach

2020

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Manufacturing Execution Systems (MES) are process-oriented information-technology (IT) solutions for collecting and managing information from manufacturing processes. Due to the individual programming effort and the complex integration with other manufacturing systems, though the food and beverage manufacturers can benefit from the MES, its implementation is not widespread in this industry. To simplify the implementation and engineering process, the concept of model-driven engineering (MDE) is considered as a solution. However, a feasible model-driven approach for MES engineering has not been established, not to mention for the food and beverage industry. This paper presents an approach for the automatic MES generation according to the MDE concept providing MES functions that are relevant to the food and beverage manufacturing processes primarily. It consists of necessary phases to cover the whole engineering process of the MES. Based on the application of the presented approach to the brewing process in a brewhouse, the feasibility and practicality of this approach were proven.

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Section: Mde For Production Management Systemsmentioning

confidence: 99%

Manufacturing Execution Systems for the Food and Beverage Industry: A Model-Driven Approach

2020

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“…(4). Analyzing the information resource set and feature set without interface nodes in H 1 , we get coupling strength of each node d(x i ) and heavy weight node x i * (Node's coupling strength is greater than the average of coupling strength) [6], as shown in Fig. (5).…”

Section: Characteristics Of the Model Nodementioning

confidence: 99%

“…As a formalized description tool, Petri net [1][2][3][4][5][6][7][8] provides formal modeling methods base on graphics and mathematics, and it plays a key role in the process of modeling and performance analysis of complex network system, so the Petri model is estimated in this paper to solve the MES problems.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Performance Analysis of Manufacturing Execution System Based on Petri Net

Mo¹,

Peisi²

2015

TOCSJ

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Abstract:The current Manufacturing Execution System (MES) has many weaknesses, such as poor generality, weak reconfigurability and difficult performance analysis. In order to solve these problems, a functional decomposition diagram was designed based on the functional requirements of MES, and a general petri net model was also established. The complexity and junction features of the model were analyzed based on Petri nets, and the network core layer and system reliability were gotten after the model was transformed to the undirected network diagram. Finally, the best system scheme for different selections was given based on the analysis of reliability.

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Virtual Reality Applied to Industrial Processes

Andaluz

Castillo-Carrión

Miranda

et al. 2017

Lecture Notes in Computer Science

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Modeling and simulation approach for an industrial manufacturing execution system

Cited by 6 publications

References 16 publications

Manufacturing Execution Systems for the Food and Beverage Industry: A Model-Driven Approach

Manufacturing Execution Systems for the Food and Beverage Industry: A Model-Driven Approach

Modeling and Performance Analysis of Manufacturing Execution System Based on Petri Net

Virtual Reality Applied to Industrial Processes

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