Internet of things enabled manufacturing: a review

Zhong, Ray Y.; Ge, Wenbo

doi:10.1504/ijasm.2018.092545

Cited by 40 publications

(12 citation statements)

References 74 publications

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“…Although these two trends came in the fourth and fifth places, their mean values were more than 4 and that still falls under the response option of “Extremely Influential”. The Internet of Things is one of the key technological trends of Industry 4.0 (Ghobakhloo, 2018; Zhong and Ge, 2018) and businesses continue to invest in implementing technologies related to this trend in various parts of the business. Supply chains expect to gain benefits from such implementation and a number of studies identified specific areas within the value chain that would be impacted and highlighted the nature of the potential gains (Ben-Daya et al , 2017; Haddud et al , 2017; Tu, 2018).…”

Section: Analysis and Resultsmentioning

confidence: 99%

Digitalizing supply chains potential benefits and impact on lean operations

Haddud

Khare²

2020

IJLSS

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Purpose New technological trends continue to emerge, and businesses adopt them in different capacity in a pursuit of improving current ways of doing things and to gain competitive advantages over rivals. One of the key business functions that is impacted by the implementation of different disruptive technologies is the supply chain management. As a result, there is a continuous need to identify where digitalizing supply chains may provide businesses with benefits to capitalize such gains. This study aims to examine potential impacts of digitalizing supply chains on five selected lean operations practices through the identification of key areas and benefits under each of these practices. Design/methodology/approach Data were collected from 74 participants mainly from the academic community and who were university scholars through the use of an online survey. The used online survey consists of six main parts in total, but three were included in this paper and these were designed to gather data about participants’ general information, level of influence of seven technological trends on supply chain performance and management and potential impact of digitalizing supply chains on five lean operations practices. Findings The authors were able to confirm the significant impact of digitalizing supply chains on the five examined lean operations practices. Most of the examined potential impacts were found to improve certain areas that directly improve the practices of the explored five lean operations practices as well as the overall supply chain and business performance. They were also able to determine the level of influence of the seven examined enabling technologies on supply chain performance and management. Originality/value To the best of the authors’ knowledge, this study is the first of its kind. Although some literature explored different aspects related to the concept of Industry 4.0 and digitalizing supply chains, no study has specifically explored potential impacts of digitalizing supply chains on lean operations. The results from this study can be beneficial to academic scholars interested in the researched themes, business professionals specializing in supply chain management and lean operations, organizations within different industrial sectors particularly manufacturing where lean thinking is adopted and any other party interested in understanding more about the impact of digitalizing supply chain on lean operations and on an overall business performance.

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Section: Analysis and Resultsmentioning

confidence: 99%

Digitalizing supply chains potential benefits and impact on lean operations

Haddud

Khare²

2020

IJLSS

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“…These devices can be thought, in the context of manufacturing, as "an umbrella term" for manufacturing solutions to directly or indirectly determine the moving objects (including operators, Automated Guided Vehicles (AGVs), forklifts, etc.) (Zhong and Ge 2018). RFID allows for unique, fast, and easy identification and tracking of objects without the need for a line of sight.…”

Section: Useful Technology For Mtm: An Overviewmentioning

confidence: 99%

Automating the process of method-time-measurement

Fantoni

Alzubaidi

Coli

et al. 2020

IJPPM

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PurposeThis work reports on a developing method time measurement system for measuring manufacturing and assembly processes automatically. This automatic system enables the production engineers and management to detect, process, and display concise and accurate information about the operations in real time.Design/methodology/approachThis system is based on Internet of things technology and RFID-antenna. This methodology consists of seven main steps and one final optimization step. Mainly, the operator is equipped by RFID reader, and the work station tools and devices are provided by RFID tags. Responding the RFID tags to the reader will refer to the certain operations, the difference time between start and end of the operations will be collected immediately and calculated by the microprocessor of the system.FindingsThis automatic system is promising, considering the accurate time measurements and recommendations that obtained from the case study which includes measuring manual assembly operations to be followed in order to overcome the limitations which are not only technical but also managerial, legal and organizational.Research limitations/implicationsThe acquired data about timing and duration of individual operations are anonymized to guarantee the compliance with respect to the privacy laws (GDPR and Italian work's laws).Originality/valueThis work presents a unique system to measure the time instead of traditional methods in the factories environment and satisfies the requirements to study the recommendations in order to overcome the challenges.

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“…In the past, enterprises often invested high capital in many physical devices and servers. The pressure not only comes from the high capital investment but also the time and manpower to install and maintain the operating systems and software services [75,76]. The characteristics of cloud manufacturing is to connect production resources to the cloud and virtualize them, thus the cost of manpower and equipment can be shifted on to cloud suppliers to save the operating costs.…”

Section: Cloud Apsmentioning

confidence: 99%

Advanced Planning and Scheduling (APS) Systems: A Systematic Literature Review

Vieira¹,

Deschamps²,

Valle³

2021

Advances in Transdisciplinary Engineering

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Planning and scheduling are important functions for industrial systems to operate effectively. Their principal aim is to detail how production resources will be used so that its demand is timely met. In literature, there are several works that propose mathematical models for production planning and scheduling for different production scenarios, accounting for different resources configurations and other limitations. However, it was only recently that advanced planning and scheduling systems (APS), making use of these models, started being more widely used and discussed. This work presents the results of a systematic literature review, developed by applying the ProKnow-C method, on APS systems. An overview of the main publications is provided, classifying them in new methods, models or approaches; heuristic approaches; Lagrangian relaxation techniques; and genetic algorithms. The future of APS systems is also discussed, particularly regarding difficulties such as human dependence, use of spreadsheets, and their role in Industry 4.0 with the use of technologies such as the RFID and Cloud computing.

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Internet of things enabled manufacturing: a review

Cited by 40 publications

References 74 publications

Digitalizing supply chains potential benefits and impact on lean operations

Digitalizing supply chains potential benefits and impact on lean operations

Automating the process of method-time-measurement

Advanced Planning and Scheduling (APS) Systems: A Systematic Literature Review

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