| 1. |
- Agerskans, Natalie, et al.
(författare)
-
Critical Factors for Selecting and Integrating Digital Technologies to Enable Smart Production : A Data Value Chain Perspective
- 2023
-
Ingår i: IFIP Advances in Information and Communication Technology. - : Springer Science and Business Media Deutschland GmbH. - 9783031436611 ; , s. 311-325
-
Konferensbidrag (refereegranskat)abstract
- With the development towards Industry 5.0, manufacturing companies are developing towards Smart Production, i.e., using data as a resource to interconnect the elements in the production system to learn and adapt accordingly for a more resource-efficient and sustainable production. This requires selecting and integrating digital technologies for the entire data lifecycle, also referred to as the data value chain. However, manufacturing companies are facing many challenges related to building data value chains to achieve the desired benefits of Smart Production. Therefore, the purpose of this paper is to identify and analyze the critical factors of selecting and integrating digital technologies for efficiently benefiting data value chains for Smart Production. This paper employed a qualitative-based multiple case study design involving manufacturing companies within different industries and of different sizes. The paper also analyses two Smart Production cases in detail by mapping the data flow using a technology selection and integration framework to propose solutions to the existing challenges. By analyzing the two in-depth studies and additionally two reference cases, 13 themes of critical factors for selecting and integrating digital technologies were identified.
|
|
| 2. |
- Agerskans, Natalie
(författare)
-
Digital Technologies for Enabling Smart Production : Examining the Aspects of Selection and Integration
- 2023
-
Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- With the development towards Industry 5.0, manufacturing companies are developing towards smart production. In smart production, data is used as a resource to interconnect different elements in the production system to learn and adapt to changing production conditions. Common objectives include human-centricity, resource-efficiency, and sustainable production. To enable these desired benefits of smart production, there is a need to use digital technologies to create and manage the entire flow of data. To enable smart production, it is essential to deploy digital technologies in a way so that collected raw data is converted into useful data that can be applied by equipment or humans to generate value or reduce waste in production. This requires consideration to the data flow within the production system, i.e., the entire process of converting raw data into useful data which includes data management aspects such as the collection, analysis, and visualization of data. To enable a good data flow, there is a need to combine several digital technologies. However, many manufacturing companies are facing challenges when selecting suitable digital technologies for their specific production system. Common challenges are related to the overwhelming number of advanced digital technologies available on the market, and the complexity of production system and digital technologies. This makes it a complex task to understand what digital technologies to select and the recourses and actions needed to integrate them in the production system.Against this background, the purpose of this licentiate thesis is to examine the selection and integration of digital technologies to enable smart production within manufacturing companies. More specifically, this licentiate thesis examines the challenges and critical factors of selecting and integrating digital technologies for smart production. This was accomplished by performing a qualitative-based multiple case study involving manufacturing companies within different industries and of different sizes. The findings show that identified challenges and critical factors are related to the different phases of the data value chain: data sources and collection, data communication, data processing and storage, and data visualisation and usage. General challenges and critical factors that were related to all phases of the data value chain were also identified. Moreover, the challenges and critical factors were related to people, process, and technology aspects. This shows that there is a need for holistic perspective on the entire data value chain and different production system elements when digital technologies are selected and integrated. Furthermore, there is a need to define a structured process for the selection and integration of digital technologies, where both management and operational level are involved.
|
|
| 3. |
- Agerskans, Natalie, et al.
(författare)
-
Enabling Smart Production : The Role of Data Value Chain
- 2022
-
Ingår i: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. - Cham : Springer Science and Business Media Deutschland GmbH. - 9783031164101 ; , s. 477-485
-
Konferensbidrag (refereegranskat)abstract
- To stay competitive, manufacturing companies are developing towards Smart Production which requires the use of digital technologies. However, there is a lack of guidance supporting manufacturing companies in selecting and integrating a combination of suitable digital technologies, which is required for Smart Production. To address this gap, the purpose of this paper is twofold: (i) to identify the main challenges of selecting and integrating digital technologies for Smart Production, and (ii) to propose a holistic concept to support manufacturing companies in mitigating identified challenges in order to select and integrate a combination of digital technologies for Smart Production. This is accomplished by using a qualitative-based multiple case study design. This paper identifies current challenges related to selection and integration of digital technologies. To overcome these challenges and achieve Smart production, the concept of data value chain was proposed, i.e., a holistic approach to systematically map and improve data flows within the production system. © 2022, IFIP International Federation for Information Processing.
|
|
| 4. |
- Ahlskog, Mats, 1970-, et al.
(författare)
-
Approaching digital transformation in the manufacturing industry challenges and differing views
- 2023
-
Ingår i: International Journal of Manufacturing Research. - 1750-0591 .- 1750-0605. ; :4, s. 415-433
-
Tidskriftsartikel (refereegranskat)abstract
- In order to support manufacturing companies in their digital transformation, challenges and views of the term 'digital transformation' need to be identified since digital transformation is considered a source of competitive advantages. Therefore, this paper aims to explore the challenges and differing views of digital transformation in the manufacturing industry. A case study was conducted in collaboration with four Swedish manufacturing companies. The results were then mapped into categories of three dimensions (people, process and technology), indicating that digital transformation can have different meanings within a company. We conclude that the term 'digitalisation' is more frequently used in the manufacturing industry than 'digital transformation' and identified challenges relate to lack of best practice for digital transformation, degree of standardisation and therefore affects the workload and limits the possibilities of transferring technical solutions between factories. Our findings are relevant to operations managers and other interested in digital transformation.
|
|
| 5. |
- Ahlskog, Mats, 1970-, et al.
(författare)
-
Differing Views of the Meaning of Digital Transformation in Manufacturing Industry
- 2022
-
Ingår i: Advances in Transdisciplinary Engineering. - : IOS Press BV. - 9781614994398 ; , s. 331-340
-
Konferensbidrag (refereegranskat)abstract
- In the literature there is no consensus regarding the meaning of the term digital transformation. Therefore, the purpose of this paper is to explore the differing views of the meaning of digital transformation. A case study has been conducted in collaboration with four Swedish manufacturing companies. The results shows that digital transformation can have different meaning within a company and the main challenge when performing digital transformation is knowledge. This study is the first investigation in a research project focusing on coordination of digital transformation. Therefore, is the underlaying goal to identify how the participating companies in the research project describe digital transformation in comparison with the literature. The research intention is not to define digital transformation rather to explore differing views of digital transformation and highlighting similarities and difference in comparison with the literature reviewed. The findings are practically relevant for manufacturing companies by highlighting differing views of digital transformation and in the creation of a common language within a company.
|
|
| 6. |
- Ahlskog, Mats, et al.
(författare)
-
Evaluation of Advanced Manufacturing Technology during New Product Development
- 2014
-
Ingår i: The 21st EurOMA Conference EurOMA 2014. - Palermo, Italy.
-
Konferensbidrag (refereegranskat)abstract
- The purpose of this paper is to identify factors that affect evaluation of advanced manufacturing technology (AMT) during new product development (NPD). Particular attention is given to the new product development process and how it has affected the acquisition and evaluation process of AMT. An embedded case study has been conducted at a large Swedish manufacturing company, consisting of semi structured interviews, document analysis, and passive observations. This paper identifies seven factors that affect the evaluation of AMT during NPD and which can be classified into three categories: NPD project, AMT acquisition project and the internal organization.
|
|
| 7. |
- Ahlskog, Mats, et al.
(författare)
-
Factors affecting development of production technologies in a machining environment
- 2014
-
Ingår i: Tools and Methods of Competitive Engineering 2014 TMCE 2014. - : Tools and Methods of Competitive Engineering (TMCE).
-
Konferensbidrag (refereegranskat)abstract
- The purpose of this paper is to identify critical factors forcing manufacturing companies to improve the development of production technology in a machining environment. The focus in the paper is on industrial challenges within product design and production system development when introducing new products in a machining environment. Particular attention is given to the product development process and the production equipment acquisition process. A single case study is presented, consisting of interviews, observations, document studies and an analysis of a large Swedish manufacturing company. The case study company is characterized by advanced production technology, high mechanization and high automation level. In parallel with the case study a literature review was conducted in order to identify state-of-the-art methods/models for efficient design and product introduction within a production system. The paper identifies a gap in the current way of working within the case company as well as challenges regarding the development of production technology. Based on the study, the need for future research has been identified including the need of developing an improved working support for efficient production technology development when industrializing new products.
|
|
| 8. |
- Ahlskog, Mats, et al.
(författare)
-
Joint Development of a Manufacturing Technology : A Longitudinal Case Study within the Manufacturing Industry
- 2015
-
Ingår i: 22nd International Annual EurOMA Conference EurOMA15.
-
Konferensbidrag (refereegranskat)abstract
- In order to compete within the manufacturing industry, there is a need to acquire and develop new manufacturing technologies to differentiate the company from others. Therefore, the purpose of this paper is to analyse factors affecting development of a manufacturing technology in a joint development project with an equipment supplier. A longitudinal case study has been conducted at a Swedish manufacturing company and the collaboration between a manufacturing company and an equipment supplier has been studied. The findings reveal that tacit knowledge and good equipment supplier relationship are highly important factors that facilitate development of a manufacturing technology.
|
|
| 9. |
- Ahlskog, Mats, 1970-, et al.
(författare)
-
Knowledge integration in manufacturing technology development
- 2017
-
Ingår i: Journal of Manufacturing Technology Management. - : EMERALD GROUP PUBLISHING LTD. - 1741-038X .- 1758-7786. ; 28:8, s. 1035-1054
-
Tidskriftsartikel (refereegranskat)abstract
- Purpose - The purpose of this paper is to identify and analyze knowledge integration in manufacturing technology development projects required to build competitive advantages. Design/methodology/approach - A longitudinal case study has been conducted at a Swedish manufacturing company by following a manufacturing technology development project in real time during a two-year period. Findings - The results show that three different knowledge integration processes exist when developing unique manufacturing technology: processes for capturing, for joint learning, and for absorb learning. The findings of the current research suggest that the three knowledge integration processes are highly interrelated with each knowledge integration process affecting the other two. Research limitations/implications - The major limitation of the research is primarily associated with the single case, which limits generalizability outside the context that was studied. Practical implications - The findings are particularly relevant to manufacturing engineers working with the development of new manufacturing technologies. By using relevant knowledge integration processes and capabilities required to integrate the knowledge in manufacturing technology development projects, companies can improve design and organize the development of manufacturing technology. Originality/value - Previous research has merely noted that knowledge integration is required in the development of unique manufacturing technology, but without explaining how and in what way. This paper's contribution is the identification and analysis of three knowledge integration processes that contribute to the building of competitive advantages by developing unique manufacturing technology and new knowledge.
|
|
| 10. |
- Ahlskog, Mats, et al.
(författare)
-
Managing early manufacturing technology development phases and key activities
- 2016
-
Ingår i: 23rd EurOMA conference EUROMA 2016. - : International Annual EurOMA Conference.
-
Konferensbidrag (refereegranskat)abstract
- In order to compete within the manufacturing industry, there is a need to acquire and develop new manufacturing technologies to differentiate the company from others. This paper builds on extant operations management and innovation management literature with the focus on how to managing early manufacturing technology development. A multiple case study has been conducted at a Swedish manufacturing company in the automotive industry and our paper proposes a conceptual process for early manufacturing technology development and the key activities therein. The findings are relevant for managers working with long-term development and the paper concludes by discussing implications and research limitations.
|
|
