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Goienetxea Uriarte, AinhoaORCID iD iconorcid.org/0000-0003-4604-6429
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Publications (10 of 11) Show all publications
Goienetxea Uriarte, A., Ng, A. H. C. & Urenda Moris, M. (2018). Supporting the lean journey with simulation and optimization in the context of Industry 4.0. Paper presented at 8th Swedish Production Symposium, SPS 2018, Stockholm, Sweden, May 16-18, 2018. Procedia Manufacturing, 25, 586-593
Open this publication in new window or tab >>Supporting the lean journey with simulation and optimization in the context of Industry 4.0
2018 (English)In: Procedia Manufacturing, E-ISSN 2351-9789, Vol. 25, p. 586-593Article in journal (Refereed) Published
Abstract [en]

The new industrial revolution brings important changes to organizations that will need to adapt their machines, systems and employees’ competences to sustain their business in a highly competitive market. Management philosophies such as lean will also need to adapt to the improvement possibilities that Industry 4.0 brings. This paper presents a review on the role of lean and simulation in the context of Industry 4.0. Additionally, the paper presents a conceptual framework where simulation and optimization will make the lean approach more efficient, speeding up system improvements and reconfiguration, by means of an enhanced decision-making process and supported organizational learning.

Keywords
Lean, Simulation, Optimization, Industry 4.0, Simulation-based optimization, Decision-making
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15978 (URN)10.1016/j.promfg.2018.06.097 (DOI)
Conference
8th Swedish Production Symposium, SPS 2018, Stockholm, Sweden, May 16-18, 2018
Available from: 2018-07-16 Created: 2018-07-16 Last updated: 2018-10-31Bibliographically approved
Goienetxea Uriarte, A., Ruiz Zúñiga, E., Urenda Moris, M. & Ng, A. H. C. (2017). How can decision makers be supported in the improvement of an emergency department?: A simulation, optimization and data mining approach. Operations Research for Health Care, 15, 102-122
Open this publication in new window or tab >>How can decision makers be supported in the improvement of an emergency department?: A simulation, optimization and data mining approach
2017 (English)In: Operations Research for Health Care, ISSN 2211-6923, E-ISSN 2211-6931, Vol. 15, p. 102-122Article in journal (Refereed) Published
Abstract [en]

The improvement of emergency department processes involves the need to take into considerationmultiple variables and objectives in a highly dynamic and unpredictable environment, which makes thedecision-making task extremely challenging. The use of different methodologies and tools to support thedecision-making process is therefore a key issue. This article presents a novel approach in healthcarein which Discrete Event Simulation, Simulation-Based Multi-Objective Optimization and Data Miningtechniques are used in combination. This methodology has been applied for a system improvementanalysis in a Swedish emergency department. As a result of the project, the decision makers were providedwith a range of nearly optimal solutions and design rules which reduce considerably the length of stayand waiting times for emergency department patients. These solutions include the optimal number ofresources and the required level of improvement in key processes. The article presents and discussesthe benefits achieved by applying this methodology, which has proven to be remarkably valuable fordecision-making support, with regard to complex healthcare system design and improvement.

Place, publisher, year, edition, pages
Elsevier, 2017
Keywords
Discrete Event Simulation, Simulation-Based Multi-Objective Optimization, Data mining, Decision support, Decision-making, Operational research in health care
National Category
Health Care Service and Management, Health Policy and Services and Health Economy Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-14404 (URN)10.1016/j.orhc.2017.10.003 (DOI)000415311000010 ()2-s2.0-85032745554 (Scopus ID)
Available from: 2017-11-15 Created: 2017-11-15 Last updated: 2018-05-07Bibliographically approved
Goienetxea Uriarte, A., Ng, A. H. C., Ruiz Zúñiga, E. & Urenda Moris, M. (2017). Improving the Material Flow of a Manufacturing Company via Lean, Simulation and Optimization. In: Proceedings of the International Conference on Industrial Engineering and Engineering Management, IEEM2017: . Paper presented at 2017 International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, December 10-13, 2017 (pp. 1245-1250). IEEE
Open this publication in new window or tab >>Improving the Material Flow of a Manufacturing Company via Lean, Simulation and Optimization
2017 (English)In: Proceedings of the International Conference on Industrial Engineering and Engineering Management, IEEM2017, IEEE, 2017, p. 1245-1250Conference paper, Published paper (Refereed)
Abstract [en]

Companies are continuously working towards system and process improvement to remain competitive in aglobal market. There are different methods that support companies in the achievement of that goal. This paper presents an innovative process that combines lean, simulation and optimization to improve the material flow of a manufacturing company. A description of each step of the process details the lean tools and principles taken into account, as well as the results achieved by the application of simulation and optimization.The project resulted in an improved layout and material flow that employs an automated guided vehicle. In addition, lean wastes related to transport, inventory levels as well as waiting times were reduced. The utilization of the process that combines lean, simulation and optimization was considered valuable for the success of the project.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE International Conference on Industrial Engineering and Engineering Management, E-ISSN 2157-362X
Keywords
Application study, lean, manufacturing, optimization, simulation, simulation-based optimization
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-14688 (URN)10.1109/IEEM.2017.8290092 (DOI)000428267800254 ()2-s2.0-85045254668 (Scopus ID)978-1-5386-0948-4 (ISBN)978-1-5386-0947-7 (ISBN)978-1-5386-0949-1 (ISBN)
Conference
2017 International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, December 10-13, 2017
Available from: 2018-01-25 Created: 2018-01-25 Last updated: 2018-07-23Bibliographically approved
Goienetxea Uriarte, A., Ng, A. H. C., Urenda Moris, M. & Jägstam, M. (2017). Lean, Simulation and Optimization: A maturity model. In: Proceedings of the International Conference on Industrial Engineering and Engineering Management, IEEM2017: . Paper presented at 2017 International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, December 10-13, 2017 (pp. 1310-1315). IEEE
Open this publication in new window or tab >>Lean, Simulation and Optimization: A maturity model
2017 (English)In: Proceedings of the International Conference on Industrial Engineering and Engineering Management, IEEM2017, IEEE, 2017, p. 1310-1315Conference paper, Published paper (Refereed)
Abstract [en]

This article presents a maturity model that can be applied to support organizations in identifying their current state and guiding their further development with regard to lean, simulation and optimization. The paper identifies and describes different maturity levels and offers guidelines that explain how organizations can grow from lower to higher levels of maturity. In addition, it attempts to provide the starting point for organizations that have applied lean or are willing to implement it and which may also be considering taking decisions in a more efficient way via simulation and optimization.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE International Conference on Industrial Engineering and Engineering Management, E-ISSN 2157-362X
Keywords
Decision-making, lean, maturity model, optimization, organizational performance, simulation
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-14687 (URN)10.1109/IEEM.2017.8290105 (DOI)000428267800267 ()2-s2.0-85045271642 (Scopus ID)978-1-5386-0948-4 (ISBN)978-1-5386-0947-7 (ISBN)978-1-5386-0949-1 (ISBN)
Conference
2017 International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore, December 10-13, 2017
Available from: 2018-01-25 Created: 2018-01-25 Last updated: 2018-04-25Bibliographically approved
Goienetxea Uriarte, A., Urenda Moris, M., Ng, A. H. C. & Oscarsson, J. (2016). Lean, Simulation and Optimization: A Win-Win combination. In: L. Yilmaz, W. K. V. Chan, I. Moon, T. M. K. Roeder, C. Macal, and M. D. Rossetti (Ed.), Proceedings of the 2015 Winter Simulation Conference: . Paper presented at 2015 Winter Simulation Conference, December 6-9, Huntington Beach, California, USA (pp. 2227-2238). Piscataway, New Jersey: IEEE Computer Society
Open this publication in new window or tab >>Lean, Simulation and Optimization: A Win-Win combination
2016 (English)In: Proceedings of the 2015 Winter Simulation Conference / [ed] L. Yilmaz, W. K. V. Chan, I. Moon, T. M. K. Roeder, C. Macal, and M. D. Rossetti, Piscataway, New Jersey: IEEE Computer Society, 2016, p. 2227-2238Conference paper, Published paper (Refereed)
Abstract [en]

Lean and simulation analysis are driven by the same objective, how to better design and improve processes making the companies more competitive. The adoption of lean has been widely spread in companies from public to private sectors and simulation is nowadays becoming more and more popular. Several authors have pointed out the benefits of combining simulation and lean, however, they are still rarely used together in practice. Optimization as an additional technique to this combination is even a more powerful approach especially when designing and improving complex processes with multiple conflicting objectives. This paper presents the mutual benefits that are gained when combining lean, simulation and optimization and how they overcome each other´s limitations. A framework including the three concepts, some of the barriers for its implementation and a real-world industrial example are also described.

Place, publisher, year, edition, pages
Piscataway, New Jersey: IEEE Computer Society, 2016
Series
Proceedings - Winter Simulation Conference, ISSN 0891-7736, E-ISSN 1558-4305 ; 2016
Keywords
Lean, Simulation, Optimization, Decision making
National Category
Production Engineering, Human Work Science and Ergonomics Computer Systems
Research subject
Technology; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-11766 (URN)10.1109/WSC.2015.7408335 (DOI)000399133902010 ()2-s2.0-84962838930 (Scopus ID)978-1-4673-9743-8 (ISBN)978-1-4673-9741-4 (ISBN)978-1-4673-9742-1 (ISBN)
Conference
2015 Winter Simulation Conference, December 6-9, Huntington Beach, California, USA
Projects
Simulation-based Multi-objective Optimization for Lean production and logistic Networks
Funder
Knowledge Foundation
Available from: 2015-12-17 Created: 2015-12-17 Last updated: 2018-03-29Bibliographically approved
Goienetxea Uriarte, A., Ruiz Zúñiga, E., Urenda Moris, M. & Ng, A. H. C. (2015). System design and improvement of an emergency department using Simulation-Based Multi-Objective Optimization. Paper presented at Mini EURO Conference on Improving Healthcare: new challenges, new approaches, Coimbra, Portugal, 30 March - 1 April 2015. Journal of Physics, Conference Series, 616(1), Article ID 012015.
Open this publication in new window or tab >>System design and improvement of an emergency department using Simulation-Based Multi-Objective Optimization
2015 (English)In: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 616, no 1, article id 012015Article in journal (Refereed) Published
Abstract [en]

Discrete Event Simulation (DES) is nowadays widely used to support decision makers in system analysis and improvement. However, the use of simulation for improving stochastic logistic processes is not common among healthcare providers. The process of improving healthcare systems involves the necessity to deal with trade-off optimal solutions that take into consideration a multiple number of variables and objectives. Complementing DES with Multi-Objective Optimization (SMO) creates a superior base for finding these solutions and in consequence, facilitates the decision-making process. This paper presents how SMO has been applied for system improvement analysis in a Swedish Emergency Department (ED). A significant number of input variables, constraints and objectives were considered when defining the optimization problem. As a result of the project, the decision makers were provided with a range of optimal solutions which reduces considerably the length of stay and waiting times for the ED patients. SMO has proved to be an appropriate technique to support healthcare system design and improvement processes. A key factor for the success of this project has been the involvement and engagement of the stakeholders during the whole process.

Place, publisher, year, edition, pages
Institute of Physics Publishing (IOPP), 2015
Keywords
Simulation, Healthcare, Multi-objective Optimization, Discrete Event Simulation, Decision Making, Emergency Department
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Technology; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-10965 (URN)10.1088/1742-6596/616/1/012015 (DOI)000357994300015 ()2-s2.0-84938118115 (Scopus ID)
Conference
Mini EURO Conference on Improving Healthcare: new challenges, new approaches, Coimbra, Portugal, 30 March - 1 April 2015
Projects
System design and improvement of the emergency department at Skaraborg Hospital in Skövde
Available from: 2015-05-27 Created: 2015-05-27 Last updated: 2018-03-29Bibliographically approved
Goienetxea Uriarte, A., Ruiz Zúñiga, E., Urenda Moris, M., Ng, A. H. C., Karlberg, C. & Wallqvist, P. (2014). Improved system design of an emergency department through simulation-based multiobjective-optimization. In: : . Paper presented at 6th edition of the modeFRONTIER International Users' Meeting Conference. Trieste, Italy, May 12-13, 2014.
Open this publication in new window or tab >>Improved system design of an emergency department through simulation-based multiobjective-optimization
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2014 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Healthcare facilities, and especially emergency departments (ED), are usually characterized by its complexity due to the variability and stochastic nature of the processes involved in the system. The combination of different flows of patients, staff and resources also increments the complexity of this kind of facilities. In order to increase its efficiency, many researchers have proposed discrete-event simulation (DES) as a powerful improvement tool. However, DES can be a limited approach in the case a simulation model has too many combinations of input parameters, complex correlations between the input and output parameters and different objective functions. Hence, to find the best configuration of a complex system, an approach combining DES and meta-heuristic optimization becomes an even more powerful improvement technique. Simulation-based multiobjective-optimization (SMO) is a promising approach to generate multiple trade-off solutions particularly when multiple conflicting objectives exist within a complex system. The generated solutions provide decision makers with feasible and optimal alternatives to improve, modify or design healthcare systems. The aim of this paper is to present the work done at the ED of the regional Hospital of Skövde in Sweden, where SMO implemented in modeFromtier has been successfully applied. The result and methodology present a successful approach for decision makers in healthcare systems to reduce the waiting time of patients saving considerable time, money and resources.

Keywords
Simulation-based Optimization, Emergency Department, System Improvement
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Other Medical Engineering
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-14203 (URN)
Conference
6th edition of the modeFRONTIER International Users' Meeting Conference. Trieste, Italy, May 12-13, 2014
Funder
Region Västra Götaland
Available from: 2017-10-05 Created: 2017-10-05 Last updated: 2018-01-31Bibliographically approved
Urenda Moris, M., Ng, A. H. C., Bernedixen, J. & Goienetxea, A. (2012). Diseño Y Análisis De Sistemas Productivos Utilizando La Optimización Mediante Simulación Basado En Internet. Ingenieria Industrial, 11(1), 37-49
Open this publication in new window or tab >>Diseño Y Análisis De Sistemas Productivos Utilizando La Optimización Mediante Simulación Basado En Internet
2012 (English)In: Ingenieria Industrial, ISSN 0717-9103, E-ISSN 0718-8307, Vol. 11, no 1, p. 37-49Article in journal (Other academic) Published
National Category
Engineering and Technology
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-7300 (URN)
Available from: 2013-02-25 Created: 2013-02-25 Last updated: 2018-05-14Bibliographically approved
Goienetxea Uriarte, A., Urenda Moris, M., Jägstam, M., Allert, A.-L., Tööj, L. & Karlsson, M. (2011). An Innovative Collaboration Between Industry, University and Nonprofit Agency, for a Competitive Industry: A Swedish case. In: I. Candel Torres, L. Gómez Chova, A. López Martínez (Ed.), ICERI 2001: 4th International Conference of Education, Research and Innovation: Conference proceedings. Paper presented at 4th International Conference of Education, Research and Innovations, Madrid, Spain, 14-16 November, 2011 (pp. 4154-4162). International Association of Technology, Education and Development, IATED
Open this publication in new window or tab >>An Innovative Collaboration Between Industry, University and Nonprofit Agency, for a Competitive Industry: A Swedish case
Show others...
2011 (English)In: ICERI 2001: 4th International Conference of Education, Research and Innovation: Conference proceedings / [ed] I. Candel Torres, L. Gómez Chova, A. López Martínez, International Association of Technology, Education and Development, IATED , 2011, p. 4154-4162Conference paper, Published paper (Refereed)
Abstract [en]

In a knowledge based economy, manufacturing industry has to continuously improve their operations, processes and develop their employees in order to remain competitive in the market.

In this context, the collaboration between industry and universities becomes of vital importance. Universities and industry have traditionally maintained fairly informal or lose ways of cooperation when it comes to education. This article presents a fruitful cooperation which has been established between the University of Skövde, the Industrial Development Center in the region, IDC West Sweden AB, and the manufacturing industry.

The paper describes the development, lessons learned and the outcome of more than 3 years’ experience of close collaboration between the different stakeholders. It presents a methodology, used by the consortium to help manufacturing industries to improve their competiveness using a well defined process including: a company analysis, applied education and long-term coaching. A special focus is put on a long-term commitment by all partners. This alliance has performed more than 140 company analysis, conducted applied education for more than 2500 employees from more than 120 companies and performed coaching of more than 80 companies on site. The trend is that these figures will increase over time.

The established collaboration has been strengthened over this period of time by a number of shared research projects. One of these projects involves an evaluation of the impact that this presented consortium has had on the region´s industry. Lean Learning Academies is another project that has been funded by the European Union within the Lifelong Learning Program, with the aim to increase the competitiveness of European companies and enhance the employability of students.

Place, publisher, year, edition, pages
International Association of Technology, Education and Development, IATED, 2011
Series
ICERI proceedings, ISSN 2340-1095
Keywords
University-industry collaboration, cooperation benefits, lifelong learning, education in production development and process improvement, Lean Learning Academy
National Category
Engineering and Technology
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-5842 (URN)000317080004022 ()978-84-615-3324-4 (ISBN)
Conference
4th International Conference of Education, Research and Innovations, Madrid, Spain, 14-16 November, 2011
Available from: 2012-05-04 Created: 2012-05-04 Last updated: 2017-11-27Bibliographically approved
Urenda Moris, M., Ng, A. H. C., Bernedixen, J. & Goienetxea Uriarte, A. (2011). Diseño Y Análisis De Sistemas Productivos Utilizando La Optimización Mediante Simulación Basado En Internet. In: : . Paper presented at IX Congreso Chileno de Investigación Operativa, OPTIMA 2011, Universidad de La Frontera, Temuco, Chile, October 26-29 (pp. 14 sidor).
Open this publication in new window or tab >>Diseño Y Análisis De Sistemas Productivos Utilizando La Optimización Mediante Simulación Basado En Internet
2011 (English)Conference paper, Published paper (Refereed)
Keywords
Simulation-based Optimization, Multi-objective optimization, Production Systems Design
Identifiers
urn:nbn:se:his:diva-7333 (URN)
Conference
IX Congreso Chileno de Investigación Operativa, OPTIMA 2011, Universidad de La Frontera, Temuco, Chile, October 26-29
Available from: 2013-02-26 Created: 2013-02-26 Last updated: 2018-05-14Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-4604-6429

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