Six-Gear Roadmap towards the Smart Factory
Abstract
:Featured Application
Abstract
1. Introduction
2. Conceptual Modeling Methodology
3. Review of Similar Concepts and Models
3.1. Academic Contributions
3.2. Industial Contributions
4. Technology Jigsaw Map
5. The Six-Gear Roadmap
5.1. Gear 1: Strategy
5.2. Gear 2: Connectivity
5.2.1. IT/Network Infrastructure
5.2.2. Industrial Internet of Things (IIoT) Connectivity
5.2.3. Cybersecurity Strategy
5.3. Gear 3: Integration
5.4. Gear 4: Analytics
5.5. Gear 5: AI (Artificial Intelligence)
5.6. Gear 6: Scale
5.6.1. Scaling the Roadmap Gears
5.6.2. Other Advanced Technologies for Smart Manufacturing
6. Other Challenges of Digital Transformation for Manufacturing SMEs
6.1. Finance
6.2. Managing Change
6.3. Skills
7. Discussion
8. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Appendix A
Reference | Type | General Features | Industry 4.0 Technology Trends |
---|---|---|---|
[11] | Technology review | Industry 4.0 technologies and trends relevant to the developments of smart manufacturing. | IoT, BD, CPS, ML, AD, R |
[10] | Technology review | Characteristics: Context awareness, modularity, heterogeneity, interoperability, compositionality. | IC, IoT, CC, AD, ES, CS, SP, DA, PM, CPS, VT |
Enabling factors: law and regulations, innovation education and training, data sharing systems. | |||
[38] | Technology review, issues, challenges, and conceptual framework of interoperability | 5 principles: Accessibility, Multilingualism, Security, Open-source, Multilateral | CC, BD, IoT, MC, CPS, ICT |
3 applications: Smart Factory/Manufacturing, Smart City, Smart Products. | |||
4 architecture levels: Operational, Systematical, Technical, Semantic. | |||
[39] | Technology review of internet connected devices in manufacturing | Impact and value of Industry 4.0 and internet connected technologies that enable | IoT |
new products, services and business models. | |||
[40] | Technology review of Industry 4.0 developments and practices for sustainable manufacturing | Conceptual perspective of Industry 4.0 integration. | CPS |
Micro and Macro integration perspective: Horizontal, Vertical, and End-to-end integration within the smart factory and across the entire product life cycle and value chain. | |||
Micro and Macro opportunities for sustainable manufacturing. | |||
[35] | Conceptual model for implementing Industry 4.0 technologies in smart manufacturing | 3 stage implementations: Vertical Integration, Advanced Automation, Flexibilization. | IoT, CC, BD, DA |
2 technology layers: | |||
Front- end Technology: Smart Manufacturing, Smart Products, Smart Supply Chain, Smart Working. | |||
Base- end Technology: IoT, Cloud, BD Analytics. | |||
[7] | Conceptual model for implementing CPS’s for manufacturing applications | 5 level architecture (5C): Smart Connection, Conversion and Cyber, Cognition and Configure. | CPS, DA |
[6] | Technology review and conceptual roadmap for digitalisation of the manufacturing industry | 6 management principles: Strategy, Marketing, Human Resources, IT Resources, Manufacturing Technology and Supply Chain. | IoT, CC, BD, B, CS, AR, R, AD, CPS, VT |
12 design principles. | |||
14 technology trends. | |||
[42] | Literature review, framework architecture for smart manufacturing technologies | 4-layer architecture: sensory, integration, intelligent and response | IoT, BD, IC, CPS, MES, |
[5] | Industrial technology report (BCG) | 9 technology pillars for transforming industrial production. | IoT, R, BD, CS, VT, HVI, CC, AD |
[43] | Industrial technology review report (Automation Alley) | Emerging technology trends, implications, action plans, case studies. | IoT, R, BD, CS, AI, AD, VT, CC |
[8] | Industrial report on smart factory transition (Deloitte) | 5 Features of smart factory. | CS, IoT, AI, AD, AR, R, DA |
5 Benefits of a smart factory. | |||
6 Impact on manufacturing processes. | |||
5 Areas of consideration. | |||
4 Practical steps towards the smart factory. | |||
[9] | Industrial Research, Digital Transformation Framework (LNS Research) | History and future potential of manufacturing systems technologies. | BD, HVI, CC, DA, AI, ML, |
5 layers: Strategic objectives, Operational excellence, Operational architecture, Business case development, Solution selection. | |||
4 recommended actions for digital transformation and smart manufacturing. | |||
[44] | Industrial Research, Operational Architecture Framework on applying data analytics. (LNS Research) | Operational architecture framework that focuses on applying data and analytics within the Digital Transformation Framework | BD, AI, CC, IoT |
4 layers: Industrial operations, Compute and storage, Big data model, Industrial Analytics and Apps | |||
[29] | Industrial white paper (Festo) | 10 practical tips guide for implementing an Industry 4.0 project. | - |
[45] | Industrial white paper (ABI research) | 5-steps guide to master a digital transition journey. | IoT, R, AR, PLM |
4 challenges in digital transformation and | |||
4 Industry 4.0 technologies that make human the central beneficiaries. | |||
[46] | Industrial white paper (Bosch-Rexroth) | 3 steps approach for implementing connectivity aspects of Industry 4.0. | IoT |
[28] | Knowledge base hub white paper (Sensor City) | 5-part guide that addresses challenges and presents advice on IoT Adoption. | IoT |
Case studies on how manufacturers can work towards successful IoT adoption. | |||
[47] | Industrial white paper (Six Degrees) | 5 steps approach to lay stable IT foundations for the transition to Industry 4.0 ready cloud environment. | IoT, BD, AI, DT, AR, R |
[15] | Industrial white paper Maturity index for digital transformation (Acatech) | 6 Maturity stages: Computerization, Connectivity, Visibility, Transparency, Predictive capacity, Adaptability. | BD, ML, HVI, CPS |
4 Structural areas: Resources, information systems, Culture, Organizational Structure. | |||
5 Functional areas: Production, Logistics, Services, Marketing, Sales. | |||
[37] | ATI framework for digital transformation | 4 steps: Address digital capability, Leverage digital ecosystem, Stretch collaboration, Create space and safety. | IoT, AR, VR, |
Platform Name | Company | General Features |
---|---|---|
ThingWorx | PTC | IIoT-C, DA, AI, MOM, AR, DT |
MindSpher | Siemens | IIoT-C, DA, AI, MOM, CB, DT |
Tulip Manufacturing Apps | Tulip | IIoT-C, DA, MOM, CB |
Watson IoT | IBM | IIoT-C, DA, AI |
Nexceed (PPM) | BOSCH | IIoT-C, DA |
Kinetic | Cisco | IIoT-C, DA |
WISE-PasS | Advantech | IIoT-C, DA, AI, CB |
Cumulocity IoT | Software AG | IIoT-C, DA, CB |
AWS IoT | Amazon Web Services | IIoT-C, DA, AI, CB |
Predix | GE Digital | IIoT-C, DA, AI, CB, DT |
Azure IoT | Microsoft | IIoT-C, DA, AI, CB |
SMas | Datahone | IIoT-C, DA, MOM, MES, CB |
FactoryWiz | FactoryWiz | IIoT-C, DA, MOM, MES |
machinemetrics | MachineMetrics | IIoT-C, DA, MOM, MES, AI, CB |
ForcamForce | FORCAM | IIoT-C, DA, MOM |
keyprod | Keyprod | IIoT-C, DA, MOM, MES |
Smooth Monitor AX | Yamazaki Mazak | IIoT-C, DA |
Panorama E2 | CODRA | IIoT-C, DA |
Lumada | Hitachi | IIoT-C, DA, AI, CB |
KepServer | PTC | IIoT-C, Software Bridge |
OPCrouter | Inray industrie software | IIoT-C, Software Bridge |
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Sufian, A.T.; Abdullah, B.M.; Ateeq, M.; Wah, R.; Clements, D. Six-Gear Roadmap towards the Smart Factory. Appl. Sci. 2021, 11, 3568. https://doi.org/10.3390/app11083568
Sufian AT, Abdullah BM, Ateeq M, Wah R, Clements D. Six-Gear Roadmap towards the Smart Factory. Applied Sciences. 2021; 11(8):3568. https://doi.org/10.3390/app11083568
Chicago/Turabian StyleSufian, Amr T., Badr M. Abdullah, Muhammad Ateeq, Roderick Wah, and David Clements. 2021. "Six-Gear Roadmap towards the Smart Factory" Applied Sciences 11, no. 8: 3568. https://doi.org/10.3390/app11083568
APA StyleSufian, A. T., Abdullah, B. M., Ateeq, M., Wah, R., & Clements, D. (2021). Six-Gear Roadmap towards the Smart Factory. Applied Sciences, 11(8), 3568. https://doi.org/10.3390/app11083568