Visual Management System to Manage Manufacturing Resources

Steenkamp, L.P.; Hagedorn-Hansen, Devon; Oosthuizen, Gert Adriaan

doi:10.1016/j.promfg.2017.02.058

Cited by 32 publications

(19 citation statements)

References 14 publications

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“…TVT represents Traceability, Visibility and Trackability. Initial implementations and explorations of smart manufacturing have demonstrated the great potential of data transparencies and traceability within manufacturing environments [26]. Such real-time traceability and visibility can substantially reduce the complexity and uncertainties of manufacturing systems from NP-hard to a level that can be easily addressed locally and globally.…”

Section: Vr/ar-based Facilities For Tvtmentioning

confidence: 99%

Big Data Driven Edge-Cloud Collaboration Architecture for Cloud Manufacturing: A Software Defined Perspective

et al. 2020

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In the practice of cloud manufacturing, there still exist some major challenges, including: 1) cloud based big data analytics and decision-making cannot meet the requirements of many latencysensitive applications on shop floors; 2) existing manufacturing systems lack enough reconfigurability, openness and evolvability to deal with shop-floor disturbances and market changes; and 3) big data from shop-floors and the Internet has not been effectively utilized to guide the optimization and upgrade of manufacturing systems. This paper proposes an open evolutionary architecture of the intelligent cloud manufacturing system with collaborative edge and cloud processing. Hierarchical gateways connecting and managing shop-floor things at the ''edge'' side are introduced to support latency-sensitive applications for real-time responses. Big data processed both at the gateways and in the cloud will be used to guide continuous improvement and evolution of edge-cloud systems for better performance. As software tools are becoming dominant as the ''brain'' of manufacturing control and decision-making, this paper also proposes a new mode-''AI-Mfg-Ops'' (AI enabled Manufacturing Operations) with a supporting software defined framework, which can promote fast operation and upgrading of cloud manufacturing systems with smart monitoring-analysis-planning-execution in a closed loop. This research can contribute to the rapid response and efficient operation of cloud manufacturing systems.

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Section: Vr/ar-based Facilities For Tvtmentioning

confidence: 99%

Big Data Driven Edge-Cloud Collaboration Architecture for Cloud Manufacturing: A Software Defined Perspective

et al. 2020

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“…Pointedly, medical professions have a high-priority role for the success of care processes in healthcare firms due to their significant effects on the provided healthcare services. These medical professions have been described as tremendously stressful compared to other professions (Shen et al, 2005), where workers gain experience in their daily practices on numerous cases of infected or injured people, workload, long working hours, evening shifts, competition with peers and doctors in light of low level of information sharing (Milutinovic et al, 2012;Steenkamp et al, 2017), in addition to emotional conflict with patients and their families, which increase stress (Tabak & Korpak, 2007). On the basis of the developments in the psychological, social and administrative sciences during the last century, which had a significant effect on the administrative thought and the emergence of modern administrative schools aimed at improving the productivity of individuals to improve their performance, visual management has been introduced as a logical response to these developments (Barhamin, 2013).…”

Section: Introductionmentioning

confidence: 99%

Employee performance in Jeddah national hospital in light of visual management

Dalain¹

2020

10.5267/j.msl

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The aim of this study was to explore the degree of employee performance in light of visual management in Jeddah National Hospital and to identify if there were any statistical differences among respondents' estimations of their performance in terms of their work experience and training. The population of the study consisted of 820 employees, from which a sample, comprised 350 randomly chosen employees. Data were collected using a valid and reliable questionnaire and analyzed using IBM SPSS. The results underlined that the total degree of employee performance considering visual management was moderate. Particularly, employee performance on all dimensions; rules and regulations of visual management, as well as change, improvement and innovation, and work continuous follow-up, were moderate. Further, the results highlighted statistically significant differences between respondents due to work experience in favor of employees who have 15 years of experience or more and those who have 10 to less than 15 years of experience in favor of the former group. Additional differences were detected between employees with 10 to less than 15 years and those with less than 5 years of experience in favor of the group with 10 to less than 15 years. On the other hand, there were no statistically significant differences between respondents due to training courses.

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“…Examples SOURCE Artificial intelligence (AI) Robotics [12], [32] Decision Support Systems [11], [33] Smart production systems 3D printing [12], [33] Network technology [31]- [33] IoT driven [16], [31] Table 2: Types of ICT used for SMP in South Africa Sustainable manufacturing supports value creation based on a distributed manufacturing process. Manufacturing industries in South Africa are undergoing a technological transformation.…”

Section: Type Of Ictmentioning

confidence: 99%

“…IoT fuses services and intelligence to foster a production process that ensures flexibility and resource efficiency. IoT has successfully been adopted for predicting natural disasters, climate change and water quality management [31]. IBM Smart planet initiatives, Microsoft eye-on-earth and HP are leading initiatives that utilise IoT for sustainability.…”

Section: Type Of Ictmentioning

confidence: 99%

“…IBM Smart planet initiatives, Microsoft eye-on-earth and HP are leading initiatives that utilise IoT for sustainability. South African manufacturing industries are using network technology combined with IoT to link production with supply and consumers [31]- [33]. The ability to interconnect production processes is making it possible to: (i) remotely access and manage machine plants thereby saving travel cost and time; (ii) reduce production waste; and (iii) support intelligent energy management and the use of renewable energy.…”

Section: Type Of Ictmentioning

confidence: 99%

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Understanding the role of ICT in South African Sustainable Manufacturing Practice

Alhassan¹,

Scholtz²

Kalpa Publications in Computing

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Existing literature perceived Economic, Social and Environmental (ESE) factors as three key drivers of Sustainable Manufacturing Practice (SMP). ICT is not considered as a driving factor, but only as a tool that supports the achievement of SMP. The aim of this study is to investigate the role of ICT in achieving SMP in South Africa. A systematic literature review was conducted. The Google Scholar search engine was used to retrieve 1,352 articles that were analysed in this study. Themes and constructs were analysed based on the scope of the study. The findings revealed that South African manufacturing stakeholders are leveraging the advancement of ICT such as Artificial Intelligence and smart production systems to drive SMP through reduced waste and optimisation of resources. Also, the findings revealed that ICT plays a significant role that warrant its consideration as a fourth factor that drives SMP. This study emphasised the role of ICT as a driver in achieving SMP and presents the ESET model (ESE with the addition of Technology) to support the argument that ICT is a major driving factor for SMP. Understanding the role of ICT can influence how the issues of SMP are addressed and stakeholders can rethink strategies for SMP. Further empirical studies with a broader scope are encouraged because the review process and the scope of this study limits its generalisability

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Visual Management System to Manage Manufacturing Resources

Cited by 32 publications

References 14 publications

Big Data Driven Edge-Cloud Collaboration Architecture for Cloud Manufacturing: A Software Defined Perspective

Big Data Driven Edge-Cloud Collaboration Architecture for Cloud Manufacturing: A Software Defined Perspective

Employee performance in Jeddah national hospital in light of visual management

Understanding the role of ICT in South African Sustainable Manufacturing Practice

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