Smart Manufacturing Through Sensor Based Efficiency Monitoring System (SBEMS)

Balaji, V.; Venkumar, P.; Sabitha, Marium; Vijayalakshmi, S.; Sre, R. M. Rathikaa

doi:10.1007/978-3-319-60618-7_4

Cited by 4 publications

(5 citation statements)

References 8 publications

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“…V.Balaji et al, [6] proposed a sensor based efficiency monitoring system (SBEMS) which leads to smart manufacturing and has the benefits of predicting and preventing the potential failures well before it occurred, the storage of quality data for its future retrieval and traceability, effective compensation for the loss time and usage of cloud for connectivity with internet service in the shop floor. In spite of supervising manpower efficiency using several manual systems, SBEMS differs by alerting the decision-makers online without entering the data into the systems.…”

Section: Previous Workmentioning

confidence: 99%

“…The total implementation cost for the resources has been calculated with the formula (2),(3) and (6). This experiment is conducted in a product line which includes 11 processes and 3 processes were identified as a bottleneck operation.…”

Section: A Resource Utilizationmentioning

confidence: 99%

“…In recent years, many systems have been developed using IoT in the manufacturing environment. V.Balaji et al, [6] suggested a Sensor-Based (SBEMS) model where appropriate sensors are used in every process on the shop floor in combination with the cloud improves the productivity and mitigates the errors in the manufacturing plant. Even though it brings out intelligent insights, the implementation cost is higher in large industries.…”

Section: Introductionmentioning

confidence: 99%

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Optimized Smart Manufacturing Solution for Theory of Constraints based Efficiency Monitoring System (OTBEMS)

2019

IJRTE

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The purpose of every business organization is to improve profitability and retain its competitiveness. To achieve these manufacturing industries look for the latest tools and improvement methodologies to increase their effectiveness. Theory of Constraints (TOC) is one of the very popular and widely used improvement tools that view any manageable system as being limited in achieving more of its goals by a very small number of constraints. TOC uses a focusing process to identify the constraint and restructure the rest of the organization around it. Industry 4.0 takes the industries to the age of Cyber-physical systems. This paper provides an optimized smart manufacturing solution that derives the benefits of both TOC and IoT (Internet of Things) World. A new toolkit XBK (Extended bridge kit) is introduced in this system. XBK introduces flexibility in the IoT implementation. This experiment is conducted in a real-time test environment.

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Section: Previous Workmentioning

confidence: 99%

Section: A Resource Utilizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimized Smart Manufacturing Solution for Theory of Constraints based Efficiency Monitoring System (OTBEMS)

2019

IJRTE

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“…Smart manufacturing offers real-time online visibility and delivers the visibility of data beyond the normal dashboard. SBEMS (Sensor based efficiency monitoring system) [10] and TBEMS (ToC based efficiency monitoring system [43] represent a real-time online shop floor monitoring system for making smart decisions. SBEMS and TBEMS brings the online visibility and efficiency of machinery and operators, machine running status, number of items produced, inventory status, rejections along with respective reasons in the cloud environment.…”

Section: A Shopfloor Visibilitymentioning

confidence: 99%

“…The industrial internet and analytics will help to identify and address this kind of health-related issues based on the data collected from various sources. [10] Early monitoring of machines gives a high rate of ROI (Return On Investment) in different scenarios by improving the machine life, decreasing the asset downtime, increase in production and enabling the early prediction of services for the critical machines. [12] Service engineers often do not have right data or insights required to troubleshoot the industrial machines to perform the corrective and preventive maintenance activities.…”

Section: Health Safety and Environment [11]mentioning

confidence: 99%

Internet of Things in Industry: A Survey of Technology, Applications and Future Directions

Balaji¹

2019

IJRASET

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Internet of Things (IoT) is a congregation of interconnected physical objects that are linked with unique identifiers and transfer data in the appropriate network without human intervention. It has the promising opportunity to develop powerful industrial applications. To understand the development in industrial IoT, this paper reviews various business values in industrial application, its architecture, related technical elements, benefits and challenges. Even though it delivers many business values, shop floor visibility, supply chain management, health, safety & environment, predictive maintenance, industrial digit thread, supply chain integration, human machine interface, quality control and big data are discussed in this paper. The major elements related to IoT like Identification, Sensing, communication methodology, computation methods and services are deliberated in this paper. Future research areas are gathered from various literatures and discussed in this paper. The key contribution of this work is to summarize the current contemporary of IoT in industries systematically.

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