Abstract
Digital transformation technologies and tools promises higher productivity and effectiveness levels as well as for transforming their business models into digital. However these technologies bring uncertainties for return on investment and require high expertise needs, they rise uncertainty for organizations which plans to adopt. SMEs are required to identify and select the most feasible roadmap for digital transformation for productivity and effectiveness improvements. Nevertheless, the recent literature covers only some reports and research cases on industry 4.0 offering an overall assessment together with generic expressions. There are limited studies from developing country perspectives which focus on the differences between centre and periphery countries in terms of benefits and usage areas of Industry 4.0 technologies. In this regard, to fulfil the gap in research, our study proposes a quantitative hybrid decision making model for technology selection that can be utilized in manufacturing and particularly in automotive industry for Industry 4.0 technologies and tools. A multi-dimensional framework was developed for combining Industry 4.0 technological tools and their potential benefits that can act as a decision support model for manufacturing companies. Analytical Hierarchy Process, Quality Function Deployment and Mixed Integer Programming methods were used to prioritize, relate and optimize the technological tools for their benefits to manufacturing operations. In this study, Turkish automotive supplier industry is selected as a case study of Turkish manufacturing industry. Through interviews and survey among experts from automotive and IT industries, data was collected and adapted to the multi-criteria decision making model. Proposed model is expected to function as a decision making tool for SMEs of manufacturing environment for technology selection and choosing the appropriate strategy in their technology transfer activities for digital transformation.
| Original language | English |
|---|---|
| Title of host publication | Managing Technology for Inclusive and Sustainable Growth - 28th International Conference for the International Association of Management of Technology, IAMOT 2019 |
| Editors | Karuna Jain, Shirish Sangle, Ruchita Gupta, Jinil Persis, Mukundan R. |
| Publisher | Excel India Publishers |
| Pages | 143-157 |
| Number of pages | 15 |
| ISBN (Electronic) | 9789388237543 |
| Publication status | Published - 2019 |
| Event | 28th International Conference for the International Association of Management of Technology: Managing Technology for Inclusive and Sustainable Growth, IAMOT 2019 - Mumbai, India Duration: 7 Apr 2019 → 11 Apr 2019 |
Publication series
| Name | Managing Technology for Inclusive and Sustainable Growth - 28th International Conference for the International Association of Management of Technology, IAMOT 2019 |
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Conference
| Conference | 28th International Conference for the International Association of Management of Technology: Managing Technology for Inclusive and Sustainable Growth, IAMOT 2019 |
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| Country/Territory | India |
| City | Mumbai |
| Period | 7/04/19 → 11/04/19 |
Bibliographical note
Publisher Copyright:© IAMOT 2019.
Keywords
- Analytical Hierarchy Process
- Digital Transformation
- Hybrid Decision Making Models
- Industry 4.0
- Mixed Integer Programming
- Quality Function Deployment
