An IoT Framework for Assembly Tracking and Scheduling in Manufacturing SME

Minoufekr, Meysam; Driate, Anass; Plapper, Peter

doi:10.5220/0007921805850594

Cited by 3 publications

(4 citation statements)

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“…Many factories are developing and enhancing their capabilities approaching Industry 4.0. They focus on the production tracking system as one of the Industry 4.0 activities; however, a study related to this issue is limited (Minoufekr, Driate, & Plapper, 2019;Zhong et al, 2013;Zhang & Sun, 2013). It improves productivity, monitors workflow, detects bottlenecks, and reduces production time.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It improves productivity, monitors workflow, detects bottlenecks, and reduces production time. Physical objects can be tracked using sensor and RFID technologies (Minoufekr, Driate, & Plapper, 2019). Minoufekr, Driate, and Plapper (2019) showed the IoT and RFID solution for SME manufacturing to track the production chain.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Physical objects can be tracked using sensor and RFID technologies (Minoufekr, Driate, & Plapper, 2019). Minoufekr, Driate, and Plapper (2019) showed the IoT and RFID solution for SME manufacturing to track the production chain. Each workstation was equipped with RFID scanners to record activities and the product flow.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Towards Industry 4.0: digital transformation of traditional safety shoes manufacturer in Thailand with a development of production tracking system

Intalar

Chumnumporn

Jeenanunta

et al. 2021

Engineering Management in Production and Services

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There are many digital transformation challenges going forward towards Industry 4.0 in Thailand, especially for the traditional manufacturing firms that have been operating without digital technologies. The paper presents a case study of a safety shoe manufacturer, CPL Group Public Company Limited, adopting digital technologies to transform its production system of 40 years. It presents a conceptual design for production tracking based on IoT technologies for productivity improvement. This research uses inductive case study research design by interviewing executives and participating in the digital tracking development project using IoT sensors and image processing. The findings show the key success factors of digital transformation in manufacturing, strategies required for development, and the conceptual design of the production tracking system.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Towards Industry 4.0: digital transformation of traditional safety shoes manufacturer in Thailand with a development of production tracking system

Intalar

Chumnumporn

Jeenanunta

et al. 2021

Engineering Management in Production and Services

View full text Add to dashboard Cite

show abstract

“…An example of a traditional manual task is painting fastener heads, where a low cost approach has been demonstrated using a specialised robot tool head and machine vision [11]. Additional research has focused on providing knowledge resources to workers, such as augmented reality assisted systems [12] and the use of RFID to track progress of a part through a sequence of assembly processes [13]. Digitally enabled smart tools, like a low cost gap measurement microscope [14] offer new ways for workers to measure quality outcomes in assembly operations.…”

Section: Introductionmentioning

confidence: 99%

Data Capture and Visualisation on a Shoestring: Demonstrating the Digital Manufacturing on a Shoestring Project

McNally

Chaplin

Martínez-Arellano

et al. 2021

IFIP Advances in Information and Communication Technology

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The adoption of digital manufacturing in small to medium enterprises (SMEs) in the manufacturing sector in the UK is low, yet these technologies offer significant promise to boost productivity. Two major causes of this lack of uptake is the high upfront cost of digital technologies, and the skill gap preventing understanding and implementation. This paper describes a common approach to data capture and visualisation that is cheap and simple. Cheap through the utilisation of low cost and readily available consumer technologies, and simple through the pre-defined flexible approaches that require a minimum of configuration. This approach was implemented on three demonstrators to showcase the flexibility of the approach. These were a tool condition monitoring system, a job and machine status monitor, and a robotic process monitor. The development process resulted in a software architecture where processes were separated and communicated by message queues. We conclude that a service oriented architecture would be the best system for carrying forward the development process. This research was conducted as part of the wider EPSRC Digital Manufacturing on a Shoestring project.

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