Collaborative control theory for e-Work, e-Production, and e-Service

Nof, Shimon Y.

doi:10.1016/j.arcontrol.2007.08.002

Cited by 111 publications

(39 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Collaborative Control Theory (CCT) Nof 2003Nof , 2006Nof , 2007 and the emerging cyber-physical convergence (Vernadat et al 2018;Monostori 2014;Rajkumar et al 2010;Nof et al 2017;Nof 2017;Zhong and Nof 2015) attempt to augment, rationalize, and extend the goals of Industry 4.0 with the cyber-collaborative features of Automation 5.0.…”

Section: Discussionmentioning

confidence: 99%

“…They have fundamentally been transforming the ability of highly distributed and networked enterprises to improve Nof 2003Nof , 2006Nof , 2007. The Be^in collaborative eWork refers to all activities performed based on and executed through digital electronics e-Activities, including virtual eBusiness, e-Commerce, e-Manufacturing, and e-Logistics, along with v-(virtual) Factories, and v-Enterprises, where virtual reality and augmented reality further support and enable cyber-augmented operations and collaboration among distributed agents.…”

Section: Cyber-augmented Collaboration E-services and E-manufacturingmentioning

confidence: 99%

“…6). In such settings, the key to sustain and evolve is to optimize collaboration among distributed organizations that share services/components to achieve individual and mutual benefits Nof 2007;Camarinha-Matos et al 2009). Advances in c-Work have facilitated cyber-physical collaboration among geographically dispersed organizations, from file exchange to direct access to computers, machines, tools, software, and databases (Foster et al 2001).…”

Section: The Assignment and Best Matching Stagementioning

confidence: 99%

See 2 more Smart Citations

Perspectives on Manufacturing Automation Under the Digital and Cyber Convergence

Nof

Silva

2018

Polytechnica

View full text Add to dashboard Cite

The evolution of industrial automation has been divided into four or five main cycles of Bindustrial revolutions,^also called Bdisruptive innovations^and Bautomation revolutions.^The most recent one, started around the 1990s and still ongoing, points to the current perspectives envisioned for the twenty-first century and perhaps even beyond. In practice, however, it is difficult to comprehend the real value and impacts by the so called Digital Manufacturing, Smart Factory, Automation 5.0, or Industry 4.0. Furthermore, with frequent and rapid innovations, it is unclear how the emerging digital, smart, and cyber-augmented factories of the future can benefit from the digital and cyber convergence. Which are the dominant factors that motivate and justify the evolution of manufacturing through this current cycle? In this article, we review the relationships between digital, virtual, and cyber convergence, and recent manufacturing engineering challenges ranging from virtual enterprises to collaborative e-Manufacturing, and service orientation. We then point out new perspectives and opportunities for design and re-arrangement in production, highlighting the trend of fusion between knowledge, product, process, and service. The impact on methods of analysis, informatics, collaborative intelligence, and design of industrial systems is also analyzed under the new trends and achievements so far in digital and cyber convergence. With several case studies, we also illustrate the emerging challenges.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Cyber-augmented Collaboration E-services and E-manufacturingmentioning

confidence: 99%

Section: The Assignment and Best Matching Stagementioning

confidence: 99%

See 1 more Smart Citation

Perspectives on Manufacturing Automation Under the Digital and Cyber Convergence

Nof

Silva

2018

Polytechnica

View full text Add to dashboard Cite

show abstract

“…Figure 2 depicts an integrated business process model, including development of new products, production and logistics processes 1 . The model is based on two complementary views of business processes in logistics [3,34].…”

Section: Business Process Modelmentioning

confidence: 99%

“…The need to compete at a global level has pushed enterprises to improve their operations and business practices and even to collaborate [1], breaking down physical barriers and creating what are nowadays called virtual enterprises [2,3]. In this context, Product Lifecycle Management (PLM) has been considered a key concept in order to achieve efficiency and maintain consistency along the complete product lifecycle, from early stages of the development process of new products to their disposal [4,5].…”

Section: Introductionmentioning

confidence: 99%

A reference framework following a proactive approach for Product Lifecycle Management

Marchetta

Mayer²,

Forradellas

2011

Computers in Industry

View full text Add to dashboard Cite

Product Lifecycle Management (PLM) has been identified as a key concept within manufacturing industries for improving product quality, time-to-market and costs. Previous works on this field are focused on processes, functions and information models, and those aimed at putting more intelligence on products are related to specific parts of the product lifecycle (e.g. supply chain management, shop floor control). Therefore, there is a lack of a holistic approach to PLM, putting more intelligence on products through the complete lifecycle. In this paper, a PLM framework supported by a proactive-product approach based on intelligent agents is proposed. The developed model aims at being a first step toward a reference framework for PLM, and complements past works on both product information and business process models (BPM), by putting proactivity on product's behavior. An example of an instantiation of the reference framework is presented as a case study.

show abstract

User Requirement Analysis for an Online Collaboration Tool for Senior Industrial Engineering Design Course

Nanda

Lehto

Nof

2014

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

Many undergraduate industrial engineering programs offer a capstone senior design course that gives students an opportunity to apply the knowledge gained through their coursework to real-world projects. In this article, we present the results of a user requirements analysis of online collaboration tools containing Web 2.0 features for teaching such courses. A structured focus group analysis was conducted in which subjects evaluated several Web 2.0 features implemented using HUBzero in a prototype online collaboration tool. Our subjects included undergraduate students, faculty members, teaching assistants, and company representatives who had recently participated in an industrial engineering senior design course. On the basis of the responses of the 40 subjects, we identified desirable features for online collaboration tools to be used when teaching capstone senior design courses. A follow-up supplementary survey of 108 students currently enrolled in an industrial engineering senior design course offered at Purdue University revealed results consistent with the findings of the focus group study. Features found to be particularly important components of such a collaboration tool included file sharing, the ability to form user groups, provision of online comments and feedback, easy organization of content, and communication methods for remote collaboration. The usability of the tool was also rated as being very important. C 2014 Wiley Periodicals, Inc.

show abstract

Collaborative control theory for e-Work, e-Production, and e-Service

Cited by 111 publications

References 21 publications

Perspectives on Manufacturing Automation Under the Digital and Cyber Convergence

Perspectives on Manufacturing Automation Under the Digital and Cyber Convergence

A reference framework following a proactive approach for Product Lifecycle Management

User Requirement Analysis for an Online Collaboration Tool for Senior Industrial Engineering Design Course

Contact Info

Product

Resources

About