An IoT Based Approach for Energy Flexible Control of Production Systems

Schulz, Julia; Popp, Richard S.-H.; Scharmer, Valerie M.; Zaeh, Michael F.

doi:10.1016/j.procir.2017.11.097

Cited by 14 publications

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A digital twin (DT) is a virtual representation of a physical object or process that serves as a real-time digital counterpart of the corresponding object or process (Benjamin et al, 2017) and is widely regarded as a cornerstone for the realization of CPPS. Many tools, methods and guidelines for developing DT have been proposed in recent years (VDI/VDE ZWEI 2015; IIC 2017; Tao et al, 2018;Lee, Baheri, and Kao, 2015;Frazzon, Kuci, and Freitag, 2018;Godri et al, 2019;Schulz et al, 2018). Typical examples include the reference architecture model industrie 4.0 (RAMI4.0) (VDI/VDE ZWEI 2015) and industrial internet reference architecture (IIRA) (IIC 2017).…”

Section: Introductionmentioning

confidence: 99%

Acquisition and validation of expert knowledge for high-mix and low-volume production scheduling problems

Kondoh

Komoto

Takeda

et al. 2023

JAMDSM

View full text Add to dashboard Cite

The application of a cyber physical system (CPS) in a production system to improve the efficiency and effectiveness of its operation is called a cyber physical production system (CPPS). A digital twin (DT) is widely regarded as a cornerstone for the realization of CPPS, and many tools, methods and guidelines for developing DT have been proposed in recent years. However, DT alone is not sufficient for solving practical problems that occur in actual production systems (e.g., frequent rescheduling caused by unpredictable events, such as machine failure or engineering changes). Because DT is a digital representation of a physical object, it cannot individually provide a problem-solving procedure for unpredicted situations. Therefore, the integrated utilization of human experts' knowledge with DT is indispensable for the realization of CPPS. This paper proposes a systematic method for acquiring experts' knowledge that can be integrated with a DT to construct a production system that is robust against unpredicted changes in a production environment. In particular, the study focuses on the knowledge acquisition for the high-mix and low-volume production scheduling problem. This is because quick modification of the existing schedule considering complicated constraints among processes, resources, delivery time and so forth is regarded as a typical problem that only human experts can solve. Through a case study in the die machining industry, this study demonstrates the validity and limitations of the method and concludes that the proposed method is effective for acquiring experts' knowledge.

show abstract

Section: Introductionmentioning

confidence: 99%

Acquisition and validation of expert knowledge for high-mix and low-volume production scheduling problems

Kondoh

Komoto

Takeda

et al. 2023

JAMDSM

View full text Add to dashboard Cite

show abstract

“…Considerable spatial variability in temperature and humidity has been observed with average diversity up to 3.3° C and 9% relative humidity and transpiration. Schulz et al (2018) presented energy-aware demand-side management (DSM) method to control manufacturing arrangements on the component level employing an IoT structure to minimize the appearing enduring power that must be well adjusted with grid-supplied power.…”

Section: Introductionmentioning

confidence: 99%

Climate: Environmental Monitoring Using Wireless Sensor Network System

Yahya

2019

Emerging Technologies in Agriculture, Livestock, and Climate

View full text Add to dashboard Cite

This chapter gives an overview of environmental monitoring systems using wireless sensor network, big data, and Internet of Things (IoTs). This chapter outlines the effect of climate change on wild animals and also discusses innovations in response to climate change. Electric fences are commonly used to control and manage the movement of animals in game reserves, private game and farms to restrict intruders such as unwanted predators and humans from the bound area. Wireless sensor network-based system for intruder detection and monitoring is presented in this system to minimize the human-animal disputes in Africa. It is challenging to observe elephants monitoring since these huge animals travel for very long distances. The biggest challenge in the existing wireless-based anti-poaching system is the limited network or no coverage. As a result, the non-monitored animals are simply subjected to poaching. Taking advantage of WSN, an anti-poaching system is proposed in this chapter.

show abstract

Control and Protection of the Smart Microgrids Using Internet of Things: Technologies, Architecture and Applications

Birleanu

Bizon

2019

Power Systems

View full text Add to dashboard Cite

An IoT Based Approach for Energy Flexible Control of Production Systems

Cited by 14 publications

References 22 publications

Acquisition and validation of expert knowledge for high-mix and low-volume production scheduling problems

Acquisition and validation of expert knowledge for high-mix and low-volume production scheduling problems

Climate: Environmental Monitoring Using Wireless Sensor Network System

Control and Protection of the Smart Microgrids Using Internet of Things: Technologies, Architecture and Applications

Contact Info

Product

Resources

About