Model-based generation of run-time data collection systems exploiting AutomationML

2018 ◽  
Vol 66 (10) ◽  
pp. 819-833 ◽  
Author(s):  
Alexandra Mazak ◽  
Arndt Lüder ◽  
Sabine Wolny ◽  
Manuel Wimmer ◽  
Dietmar Winkler ◽  
...  
Keyword(s):  
Data Collection ◽  
Production System ◽  
Production Systems ◽  
Time Data ◽  
Technology Knowledge ◽  
Model Driven ◽  
Processing Data ◽  
Need Support ◽  
Run Time ◽  
Traditional Approaches

Abstract Production system operators need support for collecting and pre-processing data on production systems consisting of several system components, as foundation for optimization and defect detection. Traditional approaches based on hard-coded programming of such run-time data collection systems take time and effort, and require both domain and technology knowledge. In this article, we introduce the AML-RTDC approach, which combines the strengths of AutomationML (AML) data modeling and model-driven engineering, to reduce the manual effort for realizing the run-time data collection (RTDC) system. We evaluate the feasibility of the AML-RTDC approach with a demonstration case about a lab-sized production system and a use case based on real-world requirements.

scholarly journals A novel analysis model for optimization performance of Bernoulli serial production system considering rework processes

2019 ◽  
Vol 234 (1-2) ◽  
pp. 295-309
Author(s):  
Binghai Zhou ◽  
Song Lin
Keyword(s):  
Quality Management ◽  
Production System ◽  
Manufacturing Systems ◽  
Production Systems ◽  
System Modeling ◽  
System Level ◽  
Recent Analysis ◽  
Analysis Model ◽  
Serial Production ◽  
Traditional Approaches

Production system modeling aims to investigate the principles of production procedures and to reveal the relationship between components and systems. Tremendous efforts have been devoted to production system modeling for the serial production system. However, most of the research focuses on the analysis of the systems at the steady state. Due to the emphasis of the quality management, production systems with rework loops are widely used in today’s manufacturing industrials, which the traditional approaches are not applicable to. Since the recent analysis of transients shows significant value and great potential in manufacturing systems, in this article, a new mechanism for rework is introduced based on the principles of quality management and lean production. A novel “Instant-Checking” method is developed to model Bernoulli serial production system considering rework loops. This method overcomes conventional restrictions and limited assumptions, and it extends the problem to systems with complex structures. Meanwhile, the analysis for transients is conducted to demonstrate relationships between component- and system-level characteristics. Finally, numerical experiments are performed to verify the effectiveness of the model.

scholarly journals Model-Driven Approach for Realization of Data Collection Architectures for Cyber-Physical Systems of Systems to Lower Manual Implementation Efforts

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 745
Author(s):  
Emanuel Trunzer ◽  
Birgit Vogel-Heuser ◽  
Jan-Kristof Chen ◽  
Moritz Kohnle
Keyword(s):  
Data Collection ◽  
Production Systems ◽  
Information Gain ◽  
Model Transformations ◽  
Systems Of Systems ◽  
Automated Production ◽  
Model Driven ◽  
Domain Specific ◽  
Wide Scale ◽  
Model Driven Approach

Data collection from distributed automated production systems is one of the main prerequisites to leverage information gain from data analysis in the context of Industrie 4.0, e.g., for the optimization of product quality. However, the realization of data collection architectures is associated with immense implementation efforts due to the heterogeneity of systems, protocols, and interfaces, as well as the multitude of involved disciplines in such projects. Therefore, this paper contributes with an approach for the model-driven generation of data collection architectures to significantly lower manual implementation efforts. Via model transformations, the corresponding source code is automatically generated from formalized models that can be created using a graphical domain-specific language. The automatically generated architecture features support for various established IIoT protocols. In a lab-scale evaluation and a unique generalized extrapolation study, the significant effort savings compared to manual programming could be quantified. In conclusion, the proposed approach can successfully mitigate the current scientific and industrial challenges to enable wide-scale access to industrial data.

scholarly journals Information model of production system management

2019 ◽  
Vol 80 (4) ◽  
pp. 128-132
Author(s):  
L. B. Likhacheva ◽  
L. I. Nazina ◽  
A. V. Lomanova ◽  
N. A. Chernykh
Keyword(s):  
Information System ◽  
Production System ◽  
Production Systems ◽  
Raw Materials ◽  
External Environment ◽  
Information Management System ◽  
Time Data ◽  
Technological Processes ◽  
Automated Information System ◽  
Processing Subsystem

Improvement of production systems of the organization is carried out through the introduction of quality management systems, changes in the model of production organization, the use of modern approaches to improve product quality and customer satisfaction. Measurement, evaluation and analysis of the production system allows to set the direction of activity to improve production processes and to develop activities aimed at ensuring the effectiveness of the whole system. The production system is an open system, it is connected and exchanged with the external environment information, resources, etc. the production system is Called the operating system, which consists of three subsystems: processing subsystem, directly related to the technological processes of raw materials and semi-finished products conversion into finished products; support subsystem, which performs auxiliary functions necessary for the implementation of the main technological processes; planning and control subsystems that receive and process information from the internal and external environment of the organization. The task of building an automated information system is connected with the need to integrate with the subsystem of data collection and analysis, visual representation of information for decision-making at all levels. Building an information management system of the production system is impossible without a powerful infrastructure, without a single information system support and process control. The proposed information system will help to automate the processes of management of the organization, quickly form the strategic and tactical goals of the organization. Within a given period of time, data will be collected and analyzed from the internal and external environment, timely analysis of deviations of the values of indicators from the planned values. The results of information processing will be timely visualized both for each employee and the production system of the organization as a whole.

scholarly journals Models for Managing Production Systems of Machine-Building Enterprises Based on the Development and Using of Their Digital Twins

2021 ◽  
Vol 248 ◽  
pp. 04015
Author(s):  
Vitalii A. Dolgov ◽  
Petr. A. Nikishechkin ◽  
Vladimir E. Arkhangelskii ◽  
Pavel I. Umnov ◽  
Alexey A. Podkidyshev
Keyword(s):  
Production System ◽  
Production Systems ◽  
Information Model ◽  
Machine Building ◽  
Digital Twin ◽  
Reliability Indicators ◽  
Digital Twins ◽  
Rational Algorithm ◽  
Building Enterprise ◽  
Traditional Approaches

The paper discusses the goals and objectives of creating digital twins of the production system of a machine-building enterprise. The data structure of the information model of the production system of a machine-building enterprise, which is the basis for building a digital twin, is presented. The paper shows the main approaches to managing a production system based on the construction of its digital twin. It is revealed that along with traditional approaches to PS management by forming recommendations in terms of PS engineering and its operation, the choice of the most rational PS management algorithms that take into account the peculiarities of the production process organization and ensure the formation of production schedules that take into account PS reliability indicators has a great potential. It is proposed to use a specialized language of DPML to describe the information model of the PS through the “product-process-resource” paradigm, which ensures the coordination of the processes of forming recommendations in terms of engineering and operation of the PS, as well as the choice of the most rational algorithm for managing the PS.

Improvement in Total and Face-to-Face Provider Time in a Multidisciplinary Craniofacial Team Clinic: An Interventional Study

2021 ◽  
pp. 105566562110217
Author(s):  
Alexis C. Wood ◽  
C. Alejandra Garcia de Mitchell ◽  
Ruchi Kaushik
Keyword(s):  
Data Collection ◽  
Cleft Palate ◽  
Outcome Measures ◽  
Clinic Visit ◽  
Visit Time ◽  
Time Data ◽  
Interventional Study ◽  
Face To Face ◽  
Before And After ◽  
Total Visit

Objective: Identify factors contributing to time a family spends in a Multidisciplinary Craniofacial Team Clinic (MDCT) and implement an intervention to reduce this time. Design: Interventional: a restructuring of clinics to serve those patients requiring fewer provider encounters separately. Setting: An American Cleft Palate-Craniofacial Association-accredited MDCT in an academic children’s hospital. Patients/Participants: One hundred sixty-seven patients with craniofacial diagnoses. Interventions: Time data were tabulated over ∼2 years. Following 9 months of data collection, patients requiring fewer provider encounters were scheduled to a separate clinic serving children with craniosynostosis, and data were collected in the same fashion for another 14 months. Main Outcome Measures: Principal outcome measures included total visit time and proportion of the visit spent without a provider in the room before and after clinic restructuring. Results: The average time spent by family in a clinic session was 161.53 minutes, of which 64.3% was spent without a provider in the room. Prior to clinic restructuring, a greater number of provider encounters was inversely associated with percentage of time spent without a provider ( P < .001). Upon identifying this predictor, scheduling patients who needed fewer provider encounters to a Craniosynostosis Clinic session resulted in reduction in absolute and percentage of time spent without a provider ( P < .001). Conclusions: The number of provider encounters is a significant predictor of the proportion of a clinic visit spent without a provider. Clinic restructuring to remove patient visits that comprise fewer provider encounters resulted in a greater percentage of time spent with a provider in an MDCT.

Model-driven engineering and run-time model-usage in service robotics

2012 ◽  
Vol 47 (3) ◽  
pp. 73-82 ◽  
Author(s):  
Andreas Steck ◽  
Alex Lotz ◽  
Christian Schlegel
Keyword(s):  
Model Driven Engineering ◽  
Service Robotics ◽  
Time Model ◽  
Model Driven ◽  
Run Time

scholarly journals Soil Bacterial Community Diversity and Composition as Affected by Tillage Intensity Treatments in Corn-Soybean Production Systems

2021 ◽  
Vol 12 (1) ◽  
pp. 157-172
Author(s):  
Shankar G. Shanmugam ◽  
Normie W. Buehring ◽  
Jon D. Prevost ◽  
William L. Kingery
Keyword(s):  
Microbial Community ◽  
Bacterial Community ◽  
Community Composition ◽  
Production System ◽  
Soil Microbial Community ◽  
Production Systems ◽  
Bacterial Community Composition ◽  
Soybean Production ◽  
Soil Microbial ◽  
Soil Bacterial

Our understanding on the effects of tillage intensity on the soil microbial community structure and composition in crop production systems are limited. This study evaluated the soil microbial community composition and diversity under different tillage management systems in an effort to identify management practices that effectively support sustainable agriculture. We report results from a three-year study to determine the effects on changes in soil microbial diversity and composition from four tillage intensity treatments and two residue management treatments in a corn-soybean production system using Illumina high-throughput sequencing of 16S rRNA genes. Soil samples were collected from tillage treatments at locations in the Southern Coastal Plain (Verona, Mississippi, USA) and Southern Mississippi River Alluvium (Stoneville, Mississippi, USA) for soil analysis and bacterial community characterization. Our results indicated that different tillage intensity treatments differentially changed the relative abundances of bacterial phyla. The Mantel test of correlations indicated that differences among bacterial community composition were significantly influenced by tillage regime (rM = 0.39, p ≤ 0.0001). Simpson’s reciprocal diversity index indicated greater bacterial diversity with reduction in tillage intensity for each year and study location. For both study sites, differences in tillage intensity had significant influence on the abundance of Proteobacteria. The shift in the soil bacterial community composition under different tillage systems was strongly correlated to changes in labile carbon pool in the system and how it affected the microbial metabolism. This study indicates that soil management through tillage intensity regime had a profound influence on diversity and composition of soil bacterial communities in a corn-soybean production system.

A New Procedure of Production Orders Sequencing in Mixed-Model Production Systems

2014 ◽  
Vol 1036 ◽  
pp. 864-868 ◽  
Author(s):  
Marcin Zemczak ◽  
Damian Krenczyk
Keyword(s):  
Task Scheduling ◽  
Production System ◽  
Mixed Model ◽  
Production Systems ◽  
Production Capacity ◽  
Approximate Solutions ◽  
Task Sequence ◽  
Optimal Method ◽  
Sequencing Problem ◽  
Car Sequencing

The paper presents the task scheduling issue, which main aim is to establish a proper sequence of tasks, that would maximize the utilization of companys production capacity. According to the literature sources, the presented sequencing problem, denoted as CSP (Car Sequencing Problem) belongs to the NP-hard class, as has been proven by simple reduction from Hamiltonians Path problem. Optimal method of solution has not yet been found, only approximate solutions have been offered, especially from the range of evolutionary algorithms. Regardless of specific production system, while considering reception of new tasks into the system, current review of the state of the system is required in order to decide whether and when a new order can be accepted for execution. In this paper, the problem of task scheduling is limited to the specific existing mixed-model production system. The main goal is to determine the effective method of creation of task sequence. Through the use of computational algorithms, and automatic analysis of the resulting sequence, rates of production are able to be checked in a real time, and so improvements can be proposed and implemented.

scholarly journals Using Computer Simulation Method to Improve Throughput of Production Systems by Buffers and Workers Allocation

2015 ◽  
Vol 6 (4) ◽  
pp. 60-69 ◽  
Author(s):  
Sławomir Kłos ◽  
Peter Trebuna
Keyword(s):  
Computer Simulation ◽  
Production System ◽  
Production Systems ◽  
Simulation Method ◽  
System Throughput ◽  
Buffer Allocation ◽  
Simulation Experiments ◽  
Buffer Capacities ◽  
The Relationship ◽  
Support Decision Making

Abstract This paper proposes the application of computer simulation methods to support decision making regarding intermediate buffer allocations in a series-parallel production line. The simulation model of the production system is based on a real example of a manufacturing company working in the automotive industry. Simulation experiments were conducted for different allocations of buffer capacities and different numbers of employees. The production system consists of three technological operations with intermediate buffers between each operation. The technological operations are carried out using machines and every machine can be operated by one worker. Multi-work in the production system is available (one operator operates several machines). On the basis of the simulation experiments, the relationship between system throughput, buffer allocation and the number of employees is analyzed. Increasing the buffer capacity results in an increase in the average product lifespan. Therefore, in the article a new index is proposed that includes the throughput of the manufacturing system and product life span. Simulation experiments were performed for different configurations of technological operations.

Run time data structures

1982 ◽  
Vol 12 (4) ◽  
pp. 394-394
Author(s):  
Roger B. Dannenberg
Keyword(s):  
Data Structures ◽  
Time Data ◽  
Run Time
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