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Iriondo Pascual, A., Högberg, D., Syberfeldt, A., Brolin, E. & Hanson, L. (2020). Application of Multi-objective Optimization on Ergonomics in Production: A Case Study. In: Massimo Di Nicolantonio, Emilio Rossi, Thomas Alexander (Ed.), Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping: Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, July 24-28, 2019, Washington D.C., USA. Paper presented at International Conference on Applied Human Factors and Ergonomics (AHFE), Washington D.C, USA, July 24-28, 2019 (pp. 584-594). Springer
Åpne denne publikasjonen i ny fane eller vindu >>Application of Multi-objective Optimization on Ergonomics in Production: A Case Study
Vise andre…
2020 (engelsk)Inngår i: Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping: Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, July 24-28, 2019, Washington D.C., USA / [ed] Massimo Di Nicolantonio, Emilio Rossi, Thomas Alexander, Springer, 2020, s. 584-594Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Taking a holistic perspective is central in production development, aiming to optimize ergonomics and overall production system performance. Hence, there is a need for tools and methods that can support production companies to identify the production system alternatives that are optimal regarding both ergonomics and production efficiency. The paper presents a devised case study where multi-objective optimization is applied, as a step to towards the development of such an optimization tool. The overall objective in the case study is to find the best order in which an operator performs manual tasks during a workday, considering ergonomics and production system efficiency simultaneously. More specifically, reducing the risk of injury from lifting tasks and improving the throughput are selected as the two optimization objectives. An optimization tool is developed, which communicates with a digital human modelling tool to simulate work tasks and assess ergonomics. 

sted, utgiver, år, opplag, sider
Springer, 2020
Serie
Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365 ; 975
Emneord
Digital human modelling, Ergonomics, Optimization, Productivity, Simulation, 3D modeling, Additives, Efficiency, Manufacture, Holistic perspectives, Optimization tools, Production companies, Production development, Production efficiency, Tools and methods, Multiobjective optimization
HSV kategori
Forskningsprogram
Användarcentrerad produktdesign; Produktion och automatiseringsteknik
Identifikatorer
urn:nbn:se:his:diva-17417 (URN)10.1007/978-3-030-20216-3_54 (DOI)2-s2.0-85067415239 (Scopus ID)978-3-030-20215-6 (ISBN)978-3-030-20216-3 (ISBN)
Konferanse
International Conference on Applied Human Factors and Ergonomics (AHFE), Washington D.C, USA, July 24-28, 2019
Tilgjengelig fra: 2019-07-09 Laget: 2019-07-09 Sist oppdatert: 2019-08-06bibliografisk kontrollert
Fathi, M., Nourmohammadi, A., Ng, A. H. C., Syberfeldt, A. & Eskandari, H. (2019). An improved genetic algorithm with variable neighborhood search to solve the assembly line balancing problem. Engineering computations
Åpne denne publikasjonen i ny fane eller vindu >>An improved genetic algorithm with variable neighborhood search to solve the assembly line balancing problem
Vise andre…
2019 (engelsk)Inngår i: Engineering computations, ISSN 0264-4401, E-ISSN 1758-7077Artikkel i tidsskrift (Fagfellevurdert) Epub ahead of print
Abstract [en]
  • Purpose – This study aims to propose an efficient optimization algorithm to solve the assembly line balancing problem (ALBP). The ALBP arises in high-volume, lean production systems when decision makers aim to design an efficient assembly line while satisfying a set of constraints.
  • Design/methodology/approach – An improved genetic algorithm (IGA) is proposed in this study to deal with ALBP in order to optimize the number of stations and the workload smoothness.
  • Findings – To evaluate the performance of the IGA, it is used to solve a set of well-known benchmark problems and a real-life problem faced by an automobile manufacturer. The solutions obtained are compared against two existing algorithms in the literature and the basic genetic algorithm. The comparisons show the high efficiency and effectiveness of the IGA in dealing with ALBPs.
  • Originality/value – The proposed IGA benefits from a novel generation transfer mechanism that improves the diversification capability of the algorithm by allowing population transfer between different generations. In addition, an effective variable neighborhood search is employed in the IGA to enhance its local search capability.
sted, utgiver, år, opplag, sider
Emerald Group Publishing Limited, 2019
Emneord
assembly line balancing, genetic algorithm, variable neighborhood search, generation transfer
HSV kategori
Forskningsprogram
Produktion och automatiseringsteknik
Identifikatorer
urn:nbn:se:his:diva-17157 (URN)10.1108/EC-02-2019-0053 (DOI)2-s2.0-85071617279 (Scopus ID)
Prosjekter
This study is supported by the European Union’s Horizon 2020 research and innovation program under grant agreement no. 723711 through the MANUWORK project.
Forskningsfinansiär
EU, Horizon 2020, 723711
Tilgjengelig fra: 2019-06-18 Laget: 2019-06-18 Sist oppdatert: 2019-09-24bibliografisk kontrollert
Fathi, M., Ghobakhloo, M. & Syberfeldt, A. (2019). An Interpretive Structural Modeling of Teamwork Training in Higher Education. Education Sciences, 9(1), 1-20
Åpne denne publikasjonen i ny fane eller vindu >>An Interpretive Structural Modeling of Teamwork Training in Higher Education
2019 (engelsk)Inngår i: Education Sciences, E-ISSN 2227-7102, Vol. 9, nr 1, s. 1-20Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In the past decade, the importance of teamwork training in higher education and employers’ enthusiasm for recruiting team players have been widely discussed in the literature. Yet, the process through which effective teamwork training is developed in a higher education setting has not yet been properly discussed. The present study aims to map the precedence relationships among the key determinants of teamwork training effectiveness and explain the process through which an effective teamwork training program can be developed. The study first conducted an extensive review of the literature to highlight the key determinants of effective teamwork training. Next, the study benefitted from an interpretive structural modeling technique and captured the opinions of a group of teamwork training experts to further map the interrelationships among the potential determinants that were identified. By listing the key determinants of effective teamwork training, mapping their interrelationships, and identifying their driving and dependence power, the present study is expected to help practitioners and academicians through providing a detailed understanding of the process through which an effective teamwork training program can be developed in a higher education context.

sted, utgiver, år, opplag, sider
Switzerland: MDPI, 2019
Emneord
teamwork, higher education, determinants, interpretive structural modeling
HSV kategori
Forskningsprogram
Produktion och automatiseringsteknik
Identifikatorer
urn:nbn:se:his:diva-16568 (URN)10.3390/educsci9010016 (DOI)000464170900001 ()2-s2.0-85061216921 (Scopus ID)
Tilgjengelig fra: 2019-01-16 Laget: 2019-01-16 Sist oppdatert: 2019-05-09bibliografisk kontrollert
Fathi, M., Nourmohammadi, A., Ng, A. H. C. & Syberfeldt, A. (2019). An optimization model for balancing assembly lines with stochastic task times and zoning constraints. IEEE Access, 7, 32537-32550, Article ID 8663269.
Åpne denne publikasjonen i ny fane eller vindu >>An optimization model for balancing assembly lines with stochastic task times and zoning constraints
2019 (engelsk)Inngår i: IEEE Access, E-ISSN 2169-3536, Vol. 7, s. 32537-32550, artikkel-id 8663269Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This study aims to bridge the gap between theory and practice by addressing a real-world assembly line balancing problem (ALBP) where task times are stochastic and there are zoning constraints in addition to the commonly known ALBP constraints. A mixed integer programming (MIP) model is proposed for each of the straight and U-shaped assembly line configurations. The primary objective in both cases is to minimize the number of stations; minimizing the maximum of stations’ mean time and the stations’ time variance are considered secondary objectives. Four different scenarios are discussed for each model, with differences in the objective function. The models are validated by solving a real case taken from an automobile manufacturing company and some standard test problems available in the literature. The results indicate that both models are able to provide optimum solutions for problems of different sizes. The technique for order preference by similarity to ideal solution (TOPSIS) is used to create reliable comparisons of the different scenarios and valid analysis of the results. Finally, some insights regarding the selection of straight and U-shaped layouts are provided.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers, 2019
Emneord
assembly line balancing, mathematical programming, stochastic, zoning constraints
HSV kategori
Forskningsprogram
Produktion och automatiseringsteknik
Identifikatorer
urn:nbn:se:his:diva-16689 (URN)10.1109/ACCESS.2019.2903738 (DOI)000463040400001 ()2-s2.0-85063577558 (Scopus ID)
Prosjekter
This study is supported by the European Union’s Horizon 2020 research and innovation program under grant agreement no. 723711 through the MANUWORK project.
Forskningsfinansiär
EU, Horizon 2020, 723711
Tilgjengelig fra: 2019-03-09 Laget: 2019-03-09 Sist oppdatert: 2019-11-21bibliografisk kontrollert
Danielsson, O., Holm, M. & Syberfeldt, A. (2019). Augmented Reality Smart Glasses for Industrial Assembly Operators: A Meta-Analysis and Categorization. In: Yan Jin, Mark Price (Ed.), Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, 10–12 September 2019, Queen’s University, Belfast, UK. Paper presented at 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, 10–12 September 2019, Queen’s University, Belfast, UK (pp. 173-179). Amsterdam: IOS Press, 9
Åpne denne publikasjonen i ny fane eller vindu >>Augmented Reality Smart Glasses for Industrial Assembly Operators: A Meta-Analysis and Categorization
2019 (engelsk)Inngår i: Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, 10–12 September 2019, Queen’s University, Belfast, UK / [ed] Yan Jin, Mark Price, Amsterdam: IOS Press, 2019, Vol. 9, s. 173-179Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Augmented reality smart glasses (ARSG) are an emerging technology that has the potential to revolutionize how operators interact with information in cyber-physical systems. However, augmented reality is currently not widespread in industrial assembly. The aim of this paper is to investigate and map ARSG in manufacturing from the perspectives of the operator, of manufacturing engineering, and of its technological maturity. This mapping provides an overview of topics relevant to enabling the implementation of ARSG in a manufacturing system, thus facilitating future exploration of the three perspectives. This investigation was done using a meta-analysis of literature reviews of applications of augmented reality in industrial manufacturing. The meta-analysis categorized previously identified topics within augmented reality in industrial manufacturing and mapped those to the scope of the three perspectives.

sted, utgiver, år, opplag, sider
Amsterdam: IOS Press, 2019
Serie
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 9
Emneord
Augmented Reality, Literature Review, Assembly, Assembly Operators
HSV kategori
Forskningsprogram
Produktion och automatiseringsteknik
Identifikatorer
urn:nbn:se:his:diva-17850 (URN)10.3233/ATDE190031 (DOI)978-1-64368-008-8 (ISBN)978-1-64368-009-5 (ISBN)
Konferanse
17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, 10–12 September 2019, Queen’s University, Belfast, UK
Tilgjengelig fra: 2019-11-04 Laget: 2019-11-04 Sist oppdatert: 2019-11-08bibliografisk kontrollert
Ruiz Zúñiga, E., Flores García, E., Urenda Moris, M. & Syberfeldt, A. (2019). Challenges of Simulation-based Optimization in Facility Layout Design of Production Systems. In: Yan Jin, Mark Price (Ed.), Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK. Paper presented at 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK (pp. 507-512). Amsterdam: IOS Press, 9
Åpne denne publikasjonen i ny fane eller vindu >>Challenges of Simulation-based Optimization in Facility Layout Design of Production Systems
2019 (engelsk)Inngår i: Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK / [ed] Yan Jin, Mark Price, Amsterdam: IOS Press, 2019, Vol. 9, s. 507-512Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Facility layout design (FLD) is becoming more challenging than ever. In particular, modern day manufacturing industry requires advancing from a traditional approach of mass production to one of mass customization including increased flexibility and adaptability. There are several software tools that can support facility layout design among which simulation and optimization are the most powerful – especially when the two techniques are combined into simulation-based optimization (SBO). The aim of this study is to identify the challenges of SBO in FLD of production systems. In doing so, this paper uncovers the challenges of SBO and FLD, which are so far addressed in separate streams of literature. The results of this study present two novel contributions based on two case studies in the Swedish manufacturing industry. First, that challenges of SBO in FLD, previously identified in literature, do not hold equal importance in industrial environments. Our results suggest that challenges in complexity, data noise, and standardization take precedence over challenges of SBO in FLD previously reported in literature. Second, that the origin of challenges of SBO in FLD are not technological in nature, but stem from the increased complexity of factories required in modern day manufacturing companies.

sted, utgiver, år, opplag, sider
Amsterdam: IOS Press, 2019
Serie
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 9
Emneord
Simulation-based Optimization, Facility Layout Design, Challenges
HSV kategori
Forskningsprogram
INF201 Virtual Production Development; Produktion och automatiseringsteknik
Identifikatorer
urn:nbn:se:his:diva-17707 (URN)10.3233/ATDE190089 (DOI)978-1-64368-008-8 (ISBN)978-1-64368-009-5 (ISBN)
Konferanse
17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK
Tilgjengelig fra: 2019-09-20 Laget: 2019-09-20 Sist oppdatert: 2019-09-26bibliografisk kontrollert
Strand, M. & Syberfeldt, A. (2019). Incorporating external data into a BI solution at a public waste management organization. International Journal of Business Intelligence Research, 10(2), 36-56
Åpne denne publikasjonen i ny fane eller vindu >>Incorporating external data into a BI solution at a public waste management organization
2019 (engelsk)Inngår i: International Journal of Business Intelligence Research, ISSN 1947-3591, E-ISSN 1947-3605, Vol. 10, nr 2, s. 36-56Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Organizations are showing an increasing interest in incorporating external data into their business intelligence solutions. Such data allows for advanced analytics and enables more comprehensive and inclusive decision-making. However, external data incorporation is relatively unexplored in the literature, and scientifically published details on up-and-running BI solutions are very sparse. In addition, published literature concerning the incorporation of external data into BI solutions is often rather synoptic or rather old (originating from data warehouse related literature). Therefore, the authors present the results of an action case study at a public waste management organization, illustrating detailed aspects of external data incorporation related to the back-end of the solution such as data selection, source characteristics, acquisition technologies and frequencies, and integration approaches. Given that the external origin of the data poses specific problems that must be overcome in order to allow for successful incorporation initiatives, special attention was paid to such problems. Copyright © 2019, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.

sted, utgiver, år, opplag, sider
IGI Global, 2019
Emneord
Business Intelligence, Case Study, External Data, Waste Management
HSV kategori
Forskningsprogram
Produktion och automatiseringsteknik
Identifikatorer
urn:nbn:se:his:diva-17479 (URN)10.4018/IJBIR.2019070104 (DOI)2-s2.0-85068688761 (Scopus ID)
Merknad

EISBN13: 9781522566939

Tilgjengelig fra: 2019-07-25 Laget: 2019-07-25 Sist oppdatert: 2019-11-18bibliografisk kontrollert
Quesada Díaz, R. & Syberfeldt, A. (2019). Product Disassembly and Inspection Supported by Augmented Reality and Product Lifecycle Management Integration. In: Yan Jin, Mark Price (Ed.), Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK. Paper presented at 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, 10–12 September 2019, Queen’s University, Belfast, UK (pp. 553-558). Amsterdam: IOS Press, 9
Åpne denne publikasjonen i ny fane eller vindu >>Product Disassembly and Inspection Supported by Augmented Reality and Product Lifecycle Management Integration
2019 (engelsk)Inngår i: Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK / [ed] Yan Jin, Mark Price, Amsterdam: IOS Press, 2019, Vol. 9, s. 553-558Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Product disassembly and inspection are essential operations in a sustainable product life cycle, particularly in end-of-life strategies such as remanufacturing. This study describes the most frequent issues and outcomes that can be encountered during the implementation of a framework for the integration of technologies such as augmented reality, product identifiers and product lifecycle management in the context of disassembly and inspection. It is believed that the development of such framework could provide a secure, efficient management of stored data and a comprehensive support to the work process and the operators carrying out the disassembly and inspection.

sted, utgiver, år, opplag, sider
Amsterdam: IOS Press, 2019
Serie
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 9
Emneord
Augmented reality, Product Lifecycle Management, Sustainability, Remanufacturing, PEID
HSV kategori
Forskningsprogram
Produktion och automatiseringsteknik
Identifikatorer
urn:nbn:se:his:diva-18039 (URN)10.3233/ATDE190096 (DOI)978-1-64368-008-8 (ISBN)978-1-64368-009-5 (ISBN)
Konferanse
17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, 10–12 September 2019, Queen’s University, Belfast, UK
Tilgjengelig fra: 2019-12-28 Laget: 2019-12-28 Sist oppdatert: 2019-12-30bibliografisk kontrollert
Liu, Y., Syberfeldt, A. & Strand, M. (2019). Review of simulation-based life cycle assessment in manufacturing industry. Production & Manufacturing Research, 7(1), 490-502
Åpne denne publikasjonen i ny fane eller vindu >>Review of simulation-based life cycle assessment in manufacturing industry
2019 (engelsk)Inngår i: Production & Manufacturing Research, ISSN 2169-3277, Vol. 7, nr 1, s. 490-502Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The manufacturing industry has a duty to minimize its environmental impact, and an increasing body of legislation mandates environmental impact evaluations from a life cycle perspective to prevent burden shift. The manufacturing industry is increasing its use of computer-based simulations to optimize production processes. In recent years, several published studies have combined simulations with life cycle assessments (LCAs) to evaluate and minimize the environmental impact of production activities. Still, current knowledge of simulations conducted for LCAs is rather disjointed. This paper accordingly reviews the literature covering simulation-based LCAs of production processes. The results of the review and cross-comparison of papers are structured in terms of seven elements in line with the ISO standard definition of LCA and report the strengths and limitations of the reviewed studies. © 2019, © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

sted, utgiver, år, opplag, sider
Taylor & Francis, 2019
Emneord
environmental impact, life cycle assessment, manufacturing, Simulation
HSV kategori
Forskningsprogram
Produktion och automatiseringsteknik
Identifikatorer
urn:nbn:se:his:diva-17825 (URN)10.1080/21693277.2019.1669505 (DOI)000487233300001 ()2-s2.0-85073234963 (Scopus ID)
Tilgjengelig fra: 2019-10-28 Laget: 2019-10-28 Sist oppdatert: 2019-11-08bibliografisk kontrollert
Land, N., Syberfeldt, A., Torgny, A. & Vallhagen, J. (2019). Virtual Human-Robot Collaboration: The Industry's Perspective on Potential Applications and Benefits. In: Yan Jin, Mark Price (Ed.), Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK. Paper presented at 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK (pp. 161-166). Amsterdam: IOS Press, 9
Åpne denne publikasjonen i ny fane eller vindu >>Virtual Human-Robot Collaboration: The Industry's Perspective on Potential Applications and Benefits
2019 (engelsk)Inngår i: Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK / [ed] Yan Jin, Mark Price, Amsterdam: IOS Press, 2019, Vol. 9, s. 161-166Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Two keystones of Industry 4.0 are the increased use of autonomous robots and advanced simulation software. Human-Robot Collaboration (HRC) combines the strengths of humans and robots, opening up application areas that previously could not be automated. However, the realization of HRC on industrial shop floors is held back by several challenges: safety, trust, the need for intuitive interfaces, and design methods. This study investigates the automotive industry’s perspective on relevant application areas and potential benefits of HRC. The data were collected through a survey of 185 participants from a variety of working roles in the automotive industry. The results of the study indicate that participants from the automotive industry consider that the areas best suited to the implementation of collaborative robots are material handling, assembly, and quality control, with potential benefits in ergonomics, efficiency, and quality. The results can be used for the development of a future virtual HRC simulation model.

sted, utgiver, år, opplag, sider
Amsterdam: IOS Press, 2019
Serie
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 9
Emneord
Human-Robot Collaboration, Virtual Simulation
HSV kategori
Forskningsprogram
VF-KDO; Produktion och automatiseringsteknik
Identifikatorer
urn:nbn:se:his:diva-17704 (URN)10.3233/ATDE190029 (DOI)978-1-64368-008-8 (ISBN)978-1-64368-009-5 (ISBN)
Konferanse
17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK
Tilgjengelig fra: 2019-09-19 Laget: 2019-09-19 Sist oppdatert: 2019-09-24bibliografisk kontrollert
Organisasjoner
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0003-3973-3394