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Flores-García, ErikORCID iD iconorcid.org/0000-0003-0798-0753
Publications (10 of 15) Show all publications
Flores-García, E., Bruch, J., Wiktorsson, M. & Jackson, M. (2020). What guides information consensus?: Approaching the reduction of equivocality in process innovations. International Journal of Manufacturing Research, 15(1), 73-89
Open this publication in new window or tab >>What guides information consensus?: Approaching the reduction of equivocality in process innovations
2020 (English)In: International Journal of Manufacturing Research, ISSN 1750-0591, Vol. 15, no 1, p. 73-89Article in journal (Refereed) Published
Abstract [en]

This study investigates the achievement of information consensus and the reduction of equivocality in process innovations. Drawing on the operations management literature, a new framework to guide information consensus in the reduction of equivocality in process innovations is proposed. The analysis is based on a real-time case study in the heavy vehicle industry. The results show that information consensus is not achieved by a single event, but active work towards this goal is necessary, and a clear set of pre-requisites is needed for achieving information consensus. The concepts of strategic objective, decision areas, and external and internal fit are identified as pre-requisites for achieving information consensus about the purpose, characteristics, and functionalities of process innovations.

Place, publisher, year, edition, pages
Inderscience Enterprises Ltd., 2020
Keywords
Case study, Decision area, Equivocality, External fit, Internal fit, Process innovation, Production, Strategic objective, Uncertainty, Industrial research, Strategic objectives, Industrial engineering
National Category
Other Engineering and Technologies
Identifiers
urn:nbn:se:mdh:diva-47389 (URN)10.1504/IJMR.2020.105488 (DOI)2-s2.0-85081399153 (Scopus ID)
Available from: 2020-03-19 Created: 2020-03-19 Last updated: 2020-03-19Bibliographically approved
Johansson, B., Bärring, M., Flores-García, E., Bruch, J. & Wahlström, M. (2019). Challenges of data acquisition for simulation models of production systems in need of standards. In: Proceedings - Winter Simulation Conference: . Paper presented at 2018 Winter Simulation Conference, WSC 2018; The Swedish Exhibition and Congress Centre, Gothenburg; Sweden; 9 December 2018 through 12 December 2018 (pp. 691-702). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Challenges of data acquisition for simulation models of production systems in need of standards
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2019 (English)In: Proceedings - Winter Simulation Conference, Institute of Electrical and Electronics Engineers Inc. , 2019, p. 691-702Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we analyze the challenges in data acquisition for simulation models of production systems based on two cases from the robotics and aerospace industries. Unlike prior research, we focus not only on the challenges of data acquisition but also on how these challenges affect decisions in production systems. We examine this linkage using the concepts of strategic objectives, decision areas, and internal fit from operations management literature. Empirical findings show that for data acquisition to lead to improved production system performance it is necessary to develop standards. Standards should consider ownership of data by different functions within a manufacturing company, alignment of data to performance measurements, and the connection between data, information, and production decisions. Using these concepts, this paper proposes a set of guidelines that facilitate the standardization of data acquisition for simulation models in production systems. We conclude by discussing the managerial implications of our findings. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2019
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:mdh:diva-42945 (URN)10.1109/WSC.2018.8632463 (DOI)000461414100056 ()2-s2.0-85062603218 (Scopus ID)9781538665725 (ISBN)
Conference
2018 Winter Simulation Conference, WSC 2018; The Swedish Exhibition and Congress Centre, Gothenburg; Sweden; 9 December 2018 through 12 December 2018
Available from: 2019-03-22 Created: 2019-03-22 Last updated: 2019-06-04Bibliographically approved
Flores-García, E., Bruch, J., Wiktorsson, M. & Jackson, M. (2019). CHALLENGES OF DISCRETE EVENT SIMULATION IN THE EARLY STAGES OF PRODUCTION SYSTEM DESIGN. International journal of industrial engineering, 26(5), 819-834
Open this publication in new window or tab >>CHALLENGES OF DISCRETE EVENT SIMULATION IN THE EARLY STAGES OF PRODUCTION SYSTEM DESIGN
2019 (English)In: International journal of industrial engineering, ISSN 1072-4761, E-ISSN 1943-670X, Vol. 26, no 5, p. 819-834Article in journal (Refereed) Published
Abstract [en]

This study analyzes the challenges of applying discrete event simulation in the early stages of production system design. Highlighting the implications of new production processes and technologies leading to improved competitiveness, this study provides novel contributions to the understanding of discrete event simulation based on three case studies of the transformation of legacy production systems in the heavy vehicle industry. The findings of this study show that equivocal or ambiguous understanding about new production processes or technologies, and uncertainty about necessary data input and the interrelation of subsystems in production, are critical in addressing discrete event simulation-related challenges. These findings highlight the need for an established process to manage assumptions and simplifications during the design, development, and deployment of discrete event simulation models as a countermeasure against uncertainties, improving manufacturing system design and practice.

Place, publisher, year, edition, pages
UNIV CINCINNATI INDUSTRIAL ENGINEERING, 2019
Keywords
production system design, discrete event simulation, case study, innovation, uncertainty, equivocality
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:mdh:diva-46345 (URN)000498192800010 ()
Available from: 2019-12-13 Created: 2019-12-13 Last updated: 2019-12-13Bibliographically approved
Sanno, A., Oberg, A. E., Flores-García, E. & Jackson, M. (2019). Increasing the Impact of Industry-Academia Collaboration through Co-Production. Technology Innovation Management Review, 9(4), 37-47
Open this publication in new window or tab >>Increasing the Impact of Industry-Academia Collaboration through Co-Production
2019 (English)In: Technology Innovation Management Review, ISSN 1927-0321, E-ISSN 1927-0321, Vol. 9, no 4, p. 37-47Article in journal (Refereed) Published
Abstract [en]

Increased competition and globalization motivate us to join forces to enhance the impact of the research conducted. Collaboration between organizations with different views can, however, be difficult to manage and needs awareness and skills to meet different expectations. This article will consider both a mutual industrial and academic perspective into the development of action research and, in six research project cases, empirically explore how the impact can be enhanced by considering certain key factors in the research process. How the phases of problem formulation, methodology, and results are managed is critical for the success of a collaboration and, thereby, its impact. Counter-productive forces that could dilute the progress over time need to be considered given that combining practical relevance and scientific rigour comes with challenges.

Place, publisher, year, edition, pages
CARLETON UNIV GRAPHIC SERVICES, 2019
Keywords
action research, industry-academia collaboration, co-production, impact, collaboration, rigour, relevance, key factors
National Category
Economics and Business
Identifiers
urn:nbn:se:mdh:diva-43515 (URN)10.22215/timreview/1232 (DOI)000467408500005 ()
Available from: 2019-05-27 Created: 2019-05-27 Last updated: 2019-05-27Bibliographically approved
Flores-García, E. (2019). Supporting Decision-Making in the Design of Production Systems: A Discrete Event Simulation perspective. (Doctoral dissertation). Eskilstuna: Mälardalen University
Open this publication in new window or tab >>Supporting Decision-Making in the Design of Production Systems: A Discrete Event Simulation perspective
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Manufacturing companies are introducing process innovations, namely new production processes or technologies, to achieve increased competitiveness. Production systems design can ensure the fulfillment of process innovations. However, literature shows that the staff responsible for the design of production systems face unfamiliar circumstances, lack of consensus or understanding (equivocality), and absence of information (uncertainty). Hence, manufacturing companies find it difficult to support decision-making in the design of production systems leading to increased competitiveness. One way to support decision-making during production systems design is through discrete-event simulation (DES). However, there is limited understanding of the application of DES in decision-making support, in this context.

Therefore, the purpose of this thesis is to support decision-making through DES in the design of production systems involving process innovations. To this end, the thesis reviews the current understanding of production system design, including decision-making and DES. This thesis adopts a qualitative case study method to extract empirical data from three production systems design projects of a manufacturing company in the heavy vehicle industry.

The thesis offers several contributions. Firstly, the findings identify the conditions of use, challenges, requirements, and activities essential for the utilization of DES during production system design related to process innovations. These important findings are critical for supporting decision-making when manufacturing companies renew their production processes. Secondly, this thesis reveals that determining the conditions of use of DES for supporting decision-making rests on the structuredness of a decision (e.g. its degree of equivocality or analyzability), and the quantitative or qualitative nature or DES models. Thirdly, the results describe four novel findings about the challenges undermining the use of DES including equivocality, uncertainty, and the lack of a structured approach and the absence of resources for DES use. Fourthly, the results reveal three requirements necessary for the use of DES including analyzing information consensus, specifying the activities of conceptual models, and coordinating DES models with the information needs. Fifthly, this thesis provides three valuable findings describing additional activities in the design of production systems related to defining the objectives of DES models, and facilitating a structured approach and the management of resources for the use of DES.

This thesis present a framework that contributes to the use of DES for decision-making support at manufacturing companies. Based on this framework, managers of those companies can supervise formal activities involving the use of DES in production systems design.

Place, publisher, year, edition, pages
Eskilstuna: Mälardalen University, 2019
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 299
Keywords
production system design; Discrete Event Simulation; process innovation; decision-making
National Category
Engineering and Technology Production Engineering, Human Work Science and Ergonomics
Research subject
Innovation and Design
Identifiers
urn:nbn:se:mdh:diva-45542 (URN)978-91-7485-443-5 (ISBN)
Public defence
2019-11-29, Filen, Mälardalens högskola, Eskilstuna, 13:00 (English)
Opponent
Supervisors
Funder
Knowledge Foundation
Available from: 2019-10-15 Created: 2019-10-15 Last updated: 2019-10-30Bibliographically approved
Flores-García, E., Wiktorsson, M., Bruch, J. & Jackson, M. (2018). Revisiting challenges in using Discrete Event Simulation in early stages of Production System Design. In: International conference of advances in production management systems APMS: . Paper presented at International conference of advances in production management systems APMS, 27 Aug 2018, Seoul, South Korea (pp. 534-540). Springer, 535
Open this publication in new window or tab >>Revisiting challenges in using Discrete Event Simulation in early stages of Production System Design
2018 (English)In: International conference of advances in production management systems APMS, Springer, 2018, Vol. 535, p. 534-540Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents challenges of using discrete event simulation when supporting decision in early stages of production system design, when significant changes are introduced. It was based on three real-time case studies performed at one manufacturing company during 2014-2016. Challenges in the cases were mapped to previous literature, pointing out discrepancies and highlighting three additional challenges, specifically related to issues in the early stages of the pro-duction system design process. The significant change introduced to the assembly system, and the early phases of evaluation put significant challenges to the use of discrete event simulation and the study points out further efforts needed to support manufacturing companies under change, with an established industrial structure and legacy systems to consider.

Place, publisher, year, edition, pages
Springer, 2018
Keywords
production system design, discrete event simulation, case study.
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-40903 (URN)10.1007/978-3-319-99704-9_65 (DOI)2-s2.0-85053277124 (Scopus ID)978-3-319-99703-2 (ISBN)978-3-319-99704-9 (ISBN)
Conference
International conference of advances in production management systems APMS, 27 Aug 2018, Seoul, South Korea
Available from: 2018-09-12 Created: 2018-09-12 Last updated: 2018-09-27Bibliographically approved
Flores-García, E., Ruiz Zúñiga, E., Bruch, J., Urenda Moris, M. & Syberfeldtb, A. (2018). Simulation-based Optimization for Facility Layout Design in Conditions of High Uncertainty. Paper presented at 51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018; Stockholm Waterfront Congress CentreStockholm; Sweden; 16 May 2018 through 18 May 2018; Code 137494. Procedia CIRP, 72
Open this publication in new window or tab >>Simulation-based Optimization for Facility Layout Design in Conditions of High Uncertainty
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2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. -339Article in journal (Refereed) Published
Abstract [en]

Despite the increased use of Simulation based Optimization, the design of facility layout is challenged by high levels of uncertainty associated with new production processes. Addressing this issue, this paper aims to understand the conceptual modeling activities of Simulation-based Optimization for facility layout design in conditions of high uncertainty. Based on three in-depth case studies, the results of this paper show how characterization criteria of production systems can be used in conceptual modelling to reduce uncertainty. These results may be essential to support managers and stakeholders during the introduction of new production processes in the design of facility layouts.

Keywords
uncertainty reduction, simulation based optimization, facility layout, decision support, production system design
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-39272 (URN)10.1016/j.procir.2018.03.227 (DOI)2-s2.0-85049552085 (Scopus ID)
Conference
51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018; Stockholm Waterfront Congress CentreStockholm; Sweden; 16 May 2018 through 18 May 2018; Code 137494
Projects
INNOFACTURE - innovative manufacturing development
Available from: 2018-05-23 Created: 2018-05-23 Last updated: 2019-10-15Bibliographically approved
Etxagibel Larrañaga, A. & Flores García, E. (2017). Approaching the Reduction of Uncertainty in Production System Design through Discrete-Event Simulation. In: : . Paper presented at Simulation in Produktion und Logistik 2017, Kassel, 20-22 September, 2017 (pp. 229-238).
Open this publication in new window or tab >>Approaching the Reduction of Uncertainty in Production System Design through Discrete-Event Simulation
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The presence of uncertainties associated to the introduction of novelty and significant change challenge manufacturing competitiveness. Addressing this issue, the purpose of this qualitative case study is to examine the uncertainties reduced by Discrete Event Simulation (DES) use during the design of a production system when significant changes are introduced at a manufacturing company. The results of this paper, based on empirical findings from a Swedish manufacturing company, reveal the presence of eight different uncertainties affecting the design of a production system including state, technical, environmental, systemic, temporal, structural, epistemic, and definitional. Empirical results also show how DES contributed to reducing technical, structural, epistemic, and definitional uncertainties. This paper contributes to existing knowledge by proposing a model that aids decision makers anticipate the type of uncertainty faced and the suitability of DES use as an uncertainty reducing activity during significant change introduction in the design of a production system.

National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-39271 (URN)978-3-7376-0192-4 (ISBN)978-3-7376-0193-1 (ISBN)
Conference
Simulation in Produktion und Logistik 2017, Kassel, 20-22 September, 2017
Available from: 2018-05-23 Created: 2018-05-23 Last updated: 2019-10-15Bibliographically approved
Flores-García, E., Bruch, J., Wiktorsson, M. & Jackson, M. (2016). Towards a Reduction of Uncertainty in Production System Design Decisions. In: Swedish Production Symposium 2016 SPS 2016: . Paper presented at Swedish Production Symposium 2016 SPS 2016, 25 Oct 2016, Lund, Sweden.
Open this publication in new window or tab >>Towards a Reduction of Uncertainty in Production System Design Decisions
2016 (English)In: Swedish Production Symposium 2016 SPS 2016, 2016Conference paper, Published paper (Refereed)
Abstract [en]

A tenet of production system design is to increase a manufacturing company’s competitiveness by introducing novel processes, technologies, and products. However, uncertainties exist regarding the actual benefits that can be attained when novelty and change are introduced into a production system. Addressing this issue, this paper explores how manufacturing companies can reduce uncertainties that challenge production system design decisions when significant changes are introduced into the production system. A real-time case study at a Swedish manufacturing company that decided to change its existing product specific assembly system to a multi-product assembly one was performed. Empirical results identify uncertainties challenging production system design configuration, and the activities targeting reduction of uncertainty. To extend current theory, empirical case study data is synthesized with current findings in production system design decisions, and uncertainty reduction in product design decisions. The paper concludes that information acquisition, uncertainty prioritization, project member background, and complexity of change influence uncertainty reduction in production system design decisions. Managerial implications highlight the importance of information acquisition and a structured approach when reducing uncertainties necessary to achieve an efficient and effective production system design. Thus, academic approaches to uncertainty reduction could benefit manufacturing practice.

Keywords
production system design, design decisions, uncertainty
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:mdh:diva-34090 (URN)
Conference
Swedish Production Symposium 2016 SPS 2016, 25 Oct 2016, Lund, Sweden
Available from: 2016-12-15 Created: 2016-12-13 Last updated: 2019-10-09Bibliographically approved
Flores-García, E., Wiktorsson, M., Jackson, M. & Bruch, J. (2015). Simulation in the Production System Design Process of Assembly Systems. In: Winter Simulation Conference 2015 WSC15: . Paper presented at Winter Simulation Conference 2015 WSC15, 6 Dec 2015, Huntington Beach, CA, United States.
Open this publication in new window or tab >>Simulation in the Production System Design Process of Assembly Systems
2015 (English)In: Winter Simulation Conference 2015 WSC15, 2015Conference paper, Published paper (Refereed)
Abstract [en]

Effective production systems are necessary for companies to achieve competitiveness in manufacturing, and the production system design process is fundamental to meet this goal. Discrete event simulation is a tool that can support the production system design process. However, few empirical studies have shown the use of this tool prior to the verification of an already chosen alternative, or an implemented production system solution. There is a need to explore how discrete event simulation can be used in the production system design process. A case study at a global manufacturing company, that used this tool in the design of its assembly system, is presented. The results of this study show where and for what purpose were the DES models used for in the production system design process. This study concludes that DES can support this activity and suggestions for future research are made.

National Category
Other Engineering and Technologies
Identifiers
urn:nbn:se:mdh:diva-29640 (URN)
Conference
Winter Simulation Conference 2015 WSC15, 6 Dec 2015, Huntington Beach, CA, United States
Projects
XPRESINNOFACTURE - innovative manufacturing development
Available from: 2015-12-10 Created: 2015-11-26 Last updated: 2019-10-15Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-0798-0753

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