An Internet of Things based framework to enhance just-in-time manufacturing

Xu, Yuchun; Mu, Chunlai

doi:10.1177/0954405417731467

Cited by 30 publications

(14 citation statements)

References 35 publications

(37 reference statements)

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“…Xu and Chen [36] proposed a framework to support dynamic production planning and scheduling in a JIT production system. This framework is able to react to dynamic changes regarding orders, production and available resources, allowing the users to adjust schedules during production in order to maximize productivity.…”

Section: Internet Of Things and Industrial Internet Of Things In Leanmentioning

confidence: 99%

How Industry 4.0 can enhance Lean practices

Pereira¹,

Dinis‐Carvalho²,

Alves³

et al. 2019

FME Transactions

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The global industrial landscape has deeply changed over the last few years and the Industry 4.0 concept has emerged, being enabled by successive disruptive innovations and technological development that have transformed manufacturing processes. This concept is being pointed out as the fourth industrial revolution that embraces a set of new technologies that are shaping the future manufacturing vision. However, Lean Production is a widely used manufacturing approach that brings several benefits to organizations. Despite the integration between Industry 4.0 and Lean Production is being researched in the recent years, the impacts that result from the implementation of new technologies in established lean practices is not clear. The purpose of this study that consists in a systematic literature review is assessing how these emerging disruptive technologies can enhance lean practices and analyse their impacts and benefits for organizations that are moving towards this new industrial paradigm.

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Section: Internet Of Things and Industrial Internet Of Things In Leanmentioning

confidence: 99%

How Industry 4.0 can enhance Lean practices

Pereira¹,

Dinis‐Carvalho²,

Alves³

et al. 2019

FME Transactions

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show abstract

“…Satisfying dynamic customer requirements needs autonomous smart manufacturing systems to using information communication technology, information operation technology, and the Internet of things. 17,18 The SMSs should have the ability to build the explicit models and perform robust optimization 19 based on the provided data to accommodate to dynamic requirements and solve uncertainty questions. 20 It is becoming popular to implement artificial intelligence (AI) technology in SMSs with more accurate decision-making capabilities and higher effectiveness.…”

Section: Backgroundsmentioning

confidence: 99%

An integrated framework of enterprise information systems in smart manufacturing system via business process reengineering

Ming

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part B:

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Enterprise information systems play a significant role in the Industry 4.0 era and are the crucial component to realize smart manufacturing systems. However, traditional enterprise information systems have some limits: (1) lack of complete information, (2) only satisfy limited business needs, and (3) lack of seamless integration, business intelligence, value-driven processes, and dynamic optimization. Clearly, the existing enterprise information systems are unable to satisfy the requirements for smart manufacturing systems: (1) autonomous operation, (2) sustainable values, and (3) self-optimization. In addition, smart manufacturing systems have become more efficient and effective, demanding for seamless information flow in enterprise information systems, knowledge, and data-driven accurately decision. Therefore, a new enterprise information systems framework is needed to bridge gaps between the requirements for traditional manufacturing system and smart manufacturing system. In this article, the integrative framework is proposed based on the business process reengineering, lean thinking, and intelligent management methods, with inclusion of six enterprise information systems aspects to provide upgrading guidelines from traditional manufacturing to smart manufacturing. The procedure of this method contains three steps: (1) it identifies requirements and acquires best practices using AS-IS model, (2) it redesigns six aspects of enterprise information systems using TO-BE model, and (3) it proposes a new enterprise information systems framework. Finally, the proposed framework is validated by real cases.

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“…Todays' wisdom is "Change is manageable," which has already progressed in our lives. This wisdom is in the word of the revolution itself that Industry 4.0, the novelist enabled a new vision in numerous industries and areas (Liao et al, 2017) As it has mostly impacted the manufacturing sector already, there is a forthcoming impact not only economically but also socially in general (Xu and Chen, 2017;Xu et al, 2018). Industry 4.0 vision, if affordable and accessible, would change the prosperity of society.…”

Section: Introductionmentioning

confidence: 99%

Drivers, Challenges, and Integration of Health 4.0 Societal Engagement: Evidence from Turkey

Eğilmez¹,

Koca²

2021

ibr

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In Turkey, a novel concept like Health 4.0 is a potential candidate seeking a solution. This paper aims to identify the scope of Health 4.0 via the perceptions gathered from appropriate vignettes with the focus of IoT stand and with the help of a qualitative approach in the first phase of the hybrid methodology. In the first phase of the study, the authors revealed the drivers and challenges of Health 4.0 by asking for the scope and awareness of Health 4.0. In the second phase of the study, the given replies to the vignettes (possible real-life scenarios) were classified into four main criteria that serve several challenges towards the adoption of Health 4.0, which were evaluated by the MACBETH (Measuring Attractiveness by a Category-Based Evaluation Technique) approach to identify main and sub-challenges towards the concept. In doing so, by analyzing in a multicriteria method, results would help to recheck and undermine the current debates around the Health 4.0 concept, helping to form many applicability levels in the future. The results revealed that security was the most important criteria followed by education, confidentiality, and the politics/manageability criteria as being the least important challenge.

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An Internet of Things based framework to enhance just-in-time manufacturing

Cited by 30 publications

References 35 publications

How Industry 4.0 can enhance Lean practices

How Industry 4.0 can enhance Lean practices

An integrated framework of enterprise information systems in smart manufacturing system via business process reengineering

Drivers, Challenges, and Integration of Health 4.0 Societal Engagement: Evidence from Turkey

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