The Experts below are selected from a list of 15468 Experts worldwide ranked by ideXlab platform
Thorsten Wuest - One of the best experts on this subject based on the ideXlab platform.
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A Smart Manufacturing adoption framework for SMEs
International Journal of Production Research, 2019Co-Authors: Sameer Mittal, Muztoba Ahmad Khan, David Romero, Jayant K. Purohit, Karan Menon, Thorsten WuestAbstract:Smart Manufacturing (SM) a revolutionary paradigm that aims to improve production systems’ performance in terms of quality, time, cost, and flexibility, as well as human and machine decision-making...
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Towards a Platform for Smart Manufacturing Improvement Planning
2018Co-Authors: Sangsu Choi, Thorsten Wuest, Boonserm KulvatunyouAbstract:The Manufacturing industry is transitioning towards Smart Manufacturing systems (SMS). Small and medium size manufacturers (SMMs) are particularly behind in this transition, plagued by lack of knowledge and resources. Several Smart Manufacturing capability assessment and maturity models exist to guide the transition. However, support for choosing the right assessment is lacking. This paper proposes a web-based, open source platform for Smart Manufacturing assessment to support SMMs in this transition. The platform allows for free self-assessments of the current maturity levels and developments of continuous improvement plans that are customized to the manufacturers’ unique characteristics. The platform also allows for sourcing of third-party technologies and services relevant to the improvements. More importantly, it will learn, rate, and recommend improvements and services based on past data. The platform is designed to be extensible and scalable to ultimately serve Manufacturing enterprises of all industries.
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Towards a Smart Manufacturing Maturity Model for SMEs (SM3E)
2018Co-Authors: Sameer Mittal, David Romero, Thorsten WuestAbstract:This paper proposes a new Smart Manufacturing Maturity Model for small and medium-sized Enterprises (SM3E). The SM3E maturity model supports SMEs during the challenging digital transformation journey and paradigm shift towards Smart Manufacturing and Industry 4.0 on three-axis: (i) organizational dimensions, (ii) toolboxes, and (iii) maturity levels. The SM3E maturity model development was based on a literature and critical review as well as interviews conducted during industrial visits. During these visits, SME specific requirements were collected, assessed and taken into account during the development of the SM3E maturity model. Overall, an analysis of maturity levels, based on the working methods and toolboxes of our SM3E maturity model will help SMEs to progress towards Smart Manufacturing and Industry 4.0.
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APMS (2) - Towards a Smart Manufacturing Maturity Model for SMEs (SM3E).
Advances in Production Management Systems. Smart Manufacturing for Industry 4.0, 2018Co-Authors: Sameer Mittal, David Romero, Thorsten WuestAbstract:This paper proposes a new Smart Manufacturing Maturity Model for small and medium-sized Enterprises (SM3E). The SM3E maturity model supports SMEs during the challenging digital transformation journey and paradigm shift towards Smart Manufacturing and Industry 4.0 on three-axis: (i) organizational dimensions, (ii) toolboxes, and (iii) maturity levels. The SM3E maturity model development was based on a literature and critical review as well as interviews conducted during industrial visits. During these visits, SME specific requirements were collected, assessed and taken into account during the development of the SM3E maturity model. Overall, an analysis of maturity levels, based on the working methods and toolboxes of our SM3E maturity model will help SMEs to progress towards Smart Manufacturing and Industry 4.0.
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APMS (2) - Towards a Platform for Smart Manufacturing Improvement Planning
Advances in Production Management Systems. Smart Manufacturing for Industry 4.0, 2018Co-Authors: Sangsu Choi, Thorsten Wuest, Boonserm KulvatunyouAbstract:The Manufacturing industry is transitioning towards Smart Manufacturing systems (SMS). Small and medium size manufacturers (SMMs) are particularly behind in this transition, plagued by lack of knowledge and resources. Several Smart Manufacturing capability assessment and maturity models exist to guide the transition. However, support for choosing the right assessment is lacking. This paper proposes a web-based, open source platform for Smart Manufacturing assessment to support SMMs in this transition. The platform allows for free self-assessments of the current maturity levels and developments of continuous improvement plans that are customized to the manufacturers’ unique characteristics. The platform also allows for sourcing of third-party technologies and services relevant to the improvements. More importantly, it will learn, rate, and recommend improvements and services based on past data. The platform is designed to be extensible and scalable to ultimately serve Manufacturing enterprises of all industries.
Sameer Mittal - One of the best experts on this subject based on the ideXlab platform.
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A Smart Manufacturing adoption framework for SMEs
International Journal of Production Research, 2019Co-Authors: Sameer Mittal, Muztoba Ahmad Khan, David Romero, Jayant K. Purohit, Karan Menon, Thorsten WuestAbstract:Smart Manufacturing (SM) a revolutionary paradigm that aims to improve production systems’ performance in terms of quality, time, cost, and flexibility, as well as human and machine decision-making...
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Towards a Smart Manufacturing Maturity Model for SMEs (SM3E)
2018Co-Authors: Sameer Mittal, David Romero, Thorsten WuestAbstract:This paper proposes a new Smart Manufacturing Maturity Model for small and medium-sized Enterprises (SM3E). The SM3E maturity model supports SMEs during the challenging digital transformation journey and paradigm shift towards Smart Manufacturing and Industry 4.0 on three-axis: (i) organizational dimensions, (ii) toolboxes, and (iii) maturity levels. The SM3E maturity model development was based on a literature and critical review as well as interviews conducted during industrial visits. During these visits, SME specific requirements were collected, assessed and taken into account during the development of the SM3E maturity model. Overall, an analysis of maturity levels, based on the working methods and toolboxes of our SM3E maturity model will help SMEs to progress towards Smart Manufacturing and Industry 4.0.
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APMS (2) - Towards a Smart Manufacturing Maturity Model for SMEs (SM3E).
Advances in Production Management Systems. Smart Manufacturing for Industry 4.0, 2018Co-Authors: Sameer Mittal, David Romero, Thorsten WuestAbstract:This paper proposes a new Smart Manufacturing Maturity Model for small and medium-sized Enterprises (SM3E). The SM3E maturity model supports SMEs during the challenging digital transformation journey and paradigm shift towards Smart Manufacturing and Industry 4.0 on three-axis: (i) organizational dimensions, (ii) toolboxes, and (iii) maturity levels. The SM3E maturity model development was based on a literature and critical review as well as interviews conducted during industrial visits. During these visits, SME specific requirements were collected, assessed and taken into account during the development of the SM3E maturity model. Overall, an analysis of maturity levels, based on the working methods and toolboxes of our SM3E maturity model will help SMEs to progress towards Smart Manufacturing and Industry 4.0.
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Smart Manufacturing: Characteristics, technologies and enabling factors:
Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, 2017Co-Authors: Sameer Mittal, Muztoba Ahmad Khan, David Romero, Thorsten WuestAbstract:The purpose of this article is to collect and structure the various characteristics, technologies and enabling factors available in the current body of knowledge that are associated with Smart Manufacturing. Eventually, it is expected that this selection of characteristics, technologies and enabling factors will help compare and distinguish other initiatives such as Industry 4.0, cyber-physical production systems, Smart factory, intelligent Manufacturing and advanced Manufacturing, which are frequently used synonymously with Smart Manufacturing. The result of this article is a comprehensive list of such characteristics, technologies and enabling factors that are regularly associated with Smart Manufacturing. This article also considers principles of “semantic similarity” to establish the basis for a future Smart Manufacturing ontology, since it was found that many of the listed items show varying overlaps; therefore, certain characteristics and technologies are merged and/or clustered. This results in a s...
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Smart Manufacturing: Characteristics and Technologies
2016Co-Authors: Sameer Mittal, Muztoba Khan, Thorsten WuestAbstract:The purpose of this paper is to collect and structure the various features of Smart Manufacturing (SM). Researchers have previously identified various characteristics and technologies of Smart Manufacturing System (SMS); this paper collects, discusses and merges some of those characteristics and technologies available in the current body of knowledge. In the future, it is expected that this selection of characteristics and technologies will help to compare and distinguish other initiatives like Industry 4.0, Smart factory, intelligent Manufacturing, distributive Manufacturing, etc. which are frequently used synonymous with SM. The result of this paper is a comprehensive list of characteristics and technologies that are associated with a SMS. As many of the listed items show variating overlaps, certain technologies and characteristics are merged and clustered. This results in a set of five defining characteristics and ten technologies that are considered relevant for a SMS. The authors hope to provide a basis for a broad and interdisciplinary discussion within the SM community about the defining technologies and characteristics of a SMS.
Hossana Twinomurinzi - One of the best experts on this subject based on the ideXlab platform.
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SMME Readiness for Smart Manufacturing (4IR) Adoption: A Systematic Review
2020Co-Authors: Lucas Gumbi, Hossana TwinomurinziAbstract:Smart Manufacturing, Industry 4.0 and Smart Factory are phenomena regarded as a key necessity for Small, Medium and Micro Businesses (SMMEs) worldwide. Even though these 4th Industrial Revolution (4IR) phenomena are generally used interchangeably, this paper sought to identify how SMME readiness for Smart Manufacturing has been investigated through a systematic review. The systematic review was conducted through the lens of Nooteboom, and Tornatzky and Klein’s research on technological innovation in SMMEs based on Rogers’ diffusion of innovations theory. The findings reveal that there is little to no research on Smart Manufacturing in relation to SMMEs in low-income countries particularly the African continent. The results also show that Smart Manufacturing is still an emergent phenomenon with disparate definitional challenges. These definitional challenges make the adoption of Smart Manufacturing innovations a challenge in resource-constrained contexts; but similarly present an opportunity for new definitions and theories in such contexts. The little research often treats SMMEs homogenously and as such misses their important heterogeneous (sector or industry specific) nature. Few research studies investigate SMME awareness (adequate knowledge) or make explicit the benefits (relative advantage) of Smart Manufacturing. Even fewer studies are explicit on the Smart Manufacturing technologies that are relevant for different SMME sectors. Smart Manufacturing is identified as incompatible with SMME characteristics, that is SMMEs lack expertise/skills to comprehend the complexity of Smart Manufacturing, and also lack financial and human resources to implement Smart Manufacturing. Given that awareness, relative advantage, complexity and compatibility are critical barriers for SMME Smart Manufacturing readiness/adoption, there is a critical need for research to focus on these factors in particular for the context of resource constrained low-income country environments.
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I3E (1) - SMME Readiness for Smart Manufacturing (4IR) Adoption: A Systematic Review
Lecture Notes in Computer Science, 2020Co-Authors: Lucas Gumbi, Hossana TwinomurinziAbstract:Smart Manufacturing, Industry 4.0 and Smart Factory are phenomena regarded as a key necessity for Small, Medium and Micro Businesses (SMMEs) worldwide. Even though these 4th Industrial Revolution (4IR) phenomena are generally used interchangeably, this paper sought to identify how SMME readiness for Smart Manufacturing has been investigated through a systematic review. The systematic review was conducted through the lens of Nooteboom, and Tornatzky and Klein’s research on technological innovation in SMMEs based on Rogers’ diffusion of innovations theory. The findings reveal that there is little to no research on Smart Manufacturing in relation to SMMEs in low-income countries particularly the African continent. The results also show that Smart Manufacturing is still an emergent phenomenon with disparate definitional challenges. These definitional challenges make the adoption of Smart Manufacturing innovations a challenge in resource-constrained contexts; but similarly present an opportunity for new definitions and theories in such contexts. The little research often treats SMMEs homogenously and as such misses their important heterogeneous (sector or industry specific) nature. Few research studies investigate SMME awareness (adequate knowledge) or make explicit the benefits (relative advantage) of Smart Manufacturing. Even fewer studies are explicit on the Smart Manufacturing technologies that are relevant for different SMME sectors. Smart Manufacturing is identified as incompatible with SMME characteristics, that is SMMEs lack expertise/skills to comprehend the complexity of Smart Manufacturing, and also lack financial and human resources to implement Smart Manufacturing. Given that awareness, relative advantage, complexity and compatibility are critical barriers for SMME Smart Manufacturing readiness/adoption, there is a critical need for research to focus on these factors in particular for the context of resource constrained low-income country environments.
Jian Zhou - One of the best experts on this subject based on the ideXlab platform.
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Smart Manufacturing standardization: Architectures, reference models and standards framework
Computers in Industry, 2018Co-Authors: Qianlin Tang, Iotong Chan, Hailong Wei, Yudi Pu, Hongzhen Jiang, Jun Li, Jian ZhouAbstract:With the development of information & communication technology (ICT), industrial technology and management technology, Manufacturing operation pattern and technology are improving quickly. In order to realize economic transformation and get their national competitiveness, American government proposed Re-industrialization and Industrial Internet, German government announced Industry 4.0, and Chinese government published Made in China 2025 national strategy. All of these mentioned strategies have a key topic: Smart Manufacturing. ISO, IEC, ITU, IEEE, and other international standard development organizations (SDOs) develop sets of international standards related to Smart Manufacturing. In order to present a systematic standardization solution for Smart Manufacturing, SDOs of the US, Germany, China and other countries developed their own national standards landscapes or roadmaps. In the paper, the new development of ICT and industrial technology are reviewed firstly. Then, these Smart Manufacturing architectures are analysed and compared. Thirdly, the reference model for Smart Manufacturing standards development and implementation is developed. At the end of the paper, a standards framework is provided.
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OTM Workshops - Smart Manufacturing Standardization: Reference Model and Standards Framework
Lecture Notes in Computer Science, 2017Co-Authors: Hongzhen Jiang, Qianlin Tang, Yaotang Chen, Jian ZhouAbstract:With the progress of world trade and globalization, and the development of information & communication technology (ICT) and industrial technology, Manufacturing pattern and technology are now facing a turning point. In order to realize economic transformation, the Chinese government published China Manufacturing 2025 national strategy; German government published Industry 4.0; and American government proposed Re-industrialization and Industrial Internet. All of these mentioned strategies have a key topic: Smart Manufacturing. In order to present a systematic standard solution for Smart Manufacturing, standardization organizations of China, Germany and US published standards landscapes or roadmaps. This paper compares these Smart Manufacturing standardization architectures and methodology, develops a reference model for Smart Manufacturing standards development and implementation. At the end of the paper, a standards framework is presented.
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Smart Manufacturing standardization reference model and standards framework
OTM Confederated International Conferences "On the Move to Meaningful Internet Systems", 2016Co-Authors: Hongzhen Jiang, Qianlin Tang, Yaotang Chen, Jian ZhouAbstract:With the progress of world trade and globalization, and the development of information & communication technology (ICT) and industrial technology, Manufacturing pattern and technology are now facing a turning point. In order to realize economic transformation, the Chinese government published China Manufacturing 2025 national strategy; German government published Industry 4.0; and American government proposed Re-industrialization and Industrial Internet. All of these mentioned strategies have a key topic: Smart Manufacturing. In order to present a systematic standard solution for Smart Manufacturing, standardization organizations of China, Germany and US published standards landscapes or roadmaps. This paper compares these Smart Manufacturing standardization architectures and methodology, develops a reference model for Smart Manufacturing standards development and implementation. At the end of the paper, a standards framework is presented.
David Romero - One of the best experts on this subject based on the ideXlab platform.
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A Smart Manufacturing adoption framework for SMEs
International Journal of Production Research, 2019Co-Authors: Sameer Mittal, Muztoba Ahmad Khan, David Romero, Jayant K. Purohit, Karan Menon, Thorsten WuestAbstract:Smart Manufacturing (SM) a revolutionary paradigm that aims to improve production systems’ performance in terms of quality, time, cost, and flexibility, as well as human and machine decision-making...
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Towards a Smart Manufacturing Maturity Model for SMEs (SM3E)
2018Co-Authors: Sameer Mittal, David Romero, Thorsten WuestAbstract:This paper proposes a new Smart Manufacturing Maturity Model for small and medium-sized Enterprises (SM3E). The SM3E maturity model supports SMEs during the challenging digital transformation journey and paradigm shift towards Smart Manufacturing and Industry 4.0 on three-axis: (i) organizational dimensions, (ii) toolboxes, and (iii) maturity levels. The SM3E maturity model development was based on a literature and critical review as well as interviews conducted during industrial visits. During these visits, SME specific requirements were collected, assessed and taken into account during the development of the SM3E maturity model. Overall, an analysis of maturity levels, based on the working methods and toolboxes of our SM3E maturity model will help SMEs to progress towards Smart Manufacturing and Industry 4.0.
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APMS (2) - Towards a Smart Manufacturing Maturity Model for SMEs (SM3E).
Advances in Production Management Systems. Smart Manufacturing for Industry 4.0, 2018Co-Authors: Sameer Mittal, David Romero, Thorsten WuestAbstract:This paper proposes a new Smart Manufacturing Maturity Model for small and medium-sized Enterprises (SM3E). The SM3E maturity model supports SMEs during the challenging digital transformation journey and paradigm shift towards Smart Manufacturing and Industry 4.0 on three-axis: (i) organizational dimensions, (ii) toolboxes, and (iii) maturity levels. The SM3E maturity model development was based on a literature and critical review as well as interviews conducted during industrial visits. During these visits, SME specific requirements were collected, assessed and taken into account during the development of the SM3E maturity model. Overall, an analysis of maturity levels, based on the working methods and toolboxes of our SM3E maturity model will help SMEs to progress towards Smart Manufacturing and Industry 4.0.
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IEEE Conf. on Intelligent Systems - A New Architecture for Controlling Smart Manufacturing Systems
2018 International Conference on Intelligent Systems (IS), 2018Co-Authors: David Romero, Albert Jones, Thorsten WuestAbstract:Smart systems are emerging across a variety of domains; one popular example of such Smart systems are Smart Manufacturing systems. Sophisticated advances in Manufacturing and cyber-technologies have led engineers to a new strategy for controlling Smart Manufacturing systems by focusing on wherever possible replacing humans with automation. In this paper, we discuss our notion of Smart Manufacturing systems and the role of data analytics in controlling them.
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Smart Manufacturing: Characteristics, technologies and enabling factors:
Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, 2017Co-Authors: Sameer Mittal, Muztoba Ahmad Khan, David Romero, Thorsten WuestAbstract:The purpose of this article is to collect and structure the various characteristics, technologies and enabling factors available in the current body of knowledge that are associated with Smart Manufacturing. Eventually, it is expected that this selection of characteristics, technologies and enabling factors will help compare and distinguish other initiatives such as Industry 4.0, cyber-physical production systems, Smart factory, intelligent Manufacturing and advanced Manufacturing, which are frequently used synonymously with Smart Manufacturing. The result of this article is a comprehensive list of such characteristics, technologies and enabling factors that are regularly associated with Smart Manufacturing. This article also considers principles of “semantic similarity” to establish the basis for a future Smart Manufacturing ontology, since it was found that many of the listed items show varying overlaps; therefore, certain characteristics and technologies are merged and/or clustered. This results in a s...
