scholarly journals Temporal Analysis of Influence of Resource Failures on Cyber-Physical Systems Based on Discrete Timed Petri Nets

2021 ◽  
Vol 11 (14) ◽  
pp. 6469
Author(s):  
Fu-Shiung Hsieh
Keyword(s):  
Petri Nets ◽  
Real Time ◽  
Cyber Physical Systems ◽  
Shop Floor ◽  
Real Problem ◽  
Timed Petri Nets ◽  
Physical Systems ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

Advancement of IoT and ICT provide infrastructure to manage, monitor and control Cyber-Physical Systems (CPS) through timely provision of real-time information from the shop floor. Although real-time information in CPS such as resource failures can be detected based on IoT and ICT, improper response to resource failures may cripple CPS and degrade performance. Effective operations of CPS relies on an effective scheme to evaluate the impact of resource failures, support decision making needed and take proper actions to respond to resource failures. This motivates us to develop a methodology to assess the impact of resource failures on operations of CPS and provide the decision support as needed. The goal of this study is to propose solution algorithms to analyze robustness of CPS with respect to resource failures in terms of the impact on temporal properties. Given CPS modeled by a class of discrete timed Petri nets (DTPNs), we develop theory to analyze robustness of CPS by transforming the models to residual spatial-temporal network (RSTN) models in which capacity loss due to resources is reflected. We formulate an optimization problem to determine the influence of resource failures on CPS based on RSTNs and analyze the feasibility to meet the order deadline. To study the feasibility to solve a real problem, we analyze the computational complexity of the proposed algorithms. We illustrate the proposed method by application scenarios. We conduct experiments to study efficiency and verify computational feasibility of the proposed method to solve a real problem.

scholarly journals The Performance of Challenges Faced by SME in Managing Real-Time Information in the Inventory Management Process

2019 ◽  
Vol 8 (12) ◽  
pp. 5614-5618
Keyword(s):  
Real Time ◽  
Inventory Management ◽  
Business Performance ◽  
Qualitative Method ◽  
Skilled Worker ◽  
Depth Interview ◽  
Real Time Information ◽  
The Impact ◽  
Time Information ◽  
Food Manufacturer

Managing real-time information is an important task for any organization regardless of the size. This is because real-time information is used as the basis for an organization to make decisions that will affect the business if the information obtained is inaccurate, slow and outdated. For SMEs, this is a great challenge as it faces capital constraints and outdated technological applications. Thus, the purpose of this study to examine the challenges faced by SMEs in managing the real-time information to their inventory management and the impact on the overall business performance. A qualitative method was adopted where the in-depth interview was using to extract the information. Based on the saturation principle, the respondent was selected specifically from the SMEs in food manufacturer based in Malacca Halal Hub area. The finding of this study has supported the previous study on the challenges and issue of real-time information facing by the SMEs. A notable finding in this research is that SMEs is employing a skilled worker to manage the absence of an information system to manage real-time information and still capable to generate a profit from the business. This study extended the previous finding and offer an opportunity for further exploration in this area.

Breathe Easy, There's an App for That: Using Information and Communication Technology to Avoid Air Pollution in Bogotá

2021 ◽  
Author(s):  
Allen Blackman ◽  
Bridget Hoffmann
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Real Time ◽  
Avoidance Behavior ◽  
Ambient Air ◽  
Text Messages ◽  
Information And Communication ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

Ambient air pollution is a leading cause of death in developing countries. In theory, using smartphone apps, text messages, and other personal information and communication technologies to disseminate real-time information about such pollution can boost avoidance behavior like wearing face masks and closing windows. Yet evidence on their effectiveness is limited. We conduct a randomized controlled trial to evaluate the impact of training university students in Bogotá, Colombia to use a newly available municipal government smartphone app that displays real-time information on air quality. The training increased participants acquisition of information about air quality, their knowledge about avoidance behavior, and their actual avoidance behavior. It also enhanced their concern about other environmental issues. These effects were moderated by participants characteristics. For example, the training was generally less effective among job holders.

scholarly journals The impact of real-time information on passengers’ value of bus waiting time

2018 ◽  
Vol 31 ◽  
pp. 18-34 ◽  
Author(s):  
Hui Lu ◽  
Peter Burge ◽  
Chris Heywood ◽  
Rob Sheldon ◽  
Peter Lee ◽  
...  
Keyword(s):  
Real Time ◽  
Waiting Time ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

Real-Time Information Capturing and Integration Framework of the Internet of Manufacturing Things

2011 ◽  
Vol 121-126 ◽  
pp. 4059-4063
Author(s):  
Ying Feng Zhang ◽  
Jun Qiang Wang ◽  
Shu Dong Sun
Keyword(s):  
Real Time ◽  
Process Management ◽  
Shop Floor ◽  
The Internet ◽  
New Paradigm ◽  
Time Data ◽  
The Real ◽  
Key Enabling Technologies ◽  
Real Time Information ◽  
Time Information

Recent developments in wireless sensors, communication and information network technologies have created a new era of the internet of things (IoT). To achieve the real-time data capturing from shop-floor front lines and the seamless dual-way connectivity and interoperability among enterprise layer, workshop floor layer and machine layer, a framework of the internet of manufacturing things (IoMT) is presented, which provides a new paradigm by extending the IoT to manufacturing field. Under this IoMT framework, the key enabling technologies such as configuration of sensor networks, sensing and capturing of manufacturing data, data processing and applications services etc. are designed and analyzed. The proposed IoMT framework and its key technologies will facilitate the real-time information driven optimum control and the operation efficiency during manufacturing execution process management.

Using Auto-ID Technologies to Implement Real-Time Manufacturing Resources Tracking and Tracing

2011 ◽  
Vol 121-126 ◽  
pp. 1574-1578
Author(s):  
Hai Ning Li ◽  
Shu Dong Sun ◽  
Ying Feng Zhang
Keyword(s):  
Real Time ◽  
Shop Floor ◽  
Manufacturing Enterprises ◽  
Optimal Decisions ◽  
Information Tracking ◽  
Manufacturing Resources ◽  
Traditional Manufacturing ◽  
Real Time Information ◽  
Consistent Information ◽  
Time Information

Typical challenges that manufacturing enterprises are facing now are compounded by lack of timely, accurate, and consistent information of manufacturing resources of shop floor. This paper presents a real-time Manufacturing Resources Tracking and Tracing Framework (MRTTF) based on Auto-ID devices such as RFID. Then, a configuration solution of equipping traditional manufacturing resources with Auto-ID devices is described. And the real-time information tracking flow of attached manufacturing resources (Men, Machines and Materials) is also illustrated. The presented framework and solution will provide real-time information of manufacturing resources for production mangers or supervisors to make accurate and optimal decisions.

scholarly journals Food Logistics 4.0: Opportunities and Challenges

Logistics ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 2
Author(s):  
Sandeep Jagtap ◽  
Farah Bader ◽  
Guillermo Garcia-Garcia ◽  
Hana Trollman ◽  
Tobi Fadiji ◽  
...  
Keyword(s):  
Data Security ◽  
Resource Planning ◽  
Cyber Physical Systems ◽  
Transportation Management ◽  
Physical Systems ◽  
Novel Technologies ◽  
Quality Product ◽  
The Right ◽  
Real Time Information ◽  
Time Information

Food Logistics 4.0 is a term derived from Industry 4.0 focusing on all the aspects of food logistics management based on cyber-physical systems. It states that real-time information and the interconnectivity of things, supplemented with novel technologies will revolutionise and improve the way food logistics is carried out. It has tremendous potential in terms of bringing transparency, swift delivery of food at reduced cost, flexibility, and capability to deliver the right quality product at the right place and at the right time. This paper discusses the vital technologies within Food Logistics 4.0 and the opportunities and challenges in this regard. It focuses primarily on food logistics, including resource planning, warehouse management, transportation management, predictive maintenance, and data security. Internet of Things, Blockchain, Robotics and Automation and artificial intelligence are some of the technologies discussed.

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