| 11. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(author)
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Lean, Simulation and Optimization : A Win-Win combination
- 2016
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In: Proceedings of the 2015 Winter Simulation Conference. - Piscataway, New Jersey : IEEE Computer Society. - 9781467397438 - 9781467397414 - 9781467397421 ; , s. 2227-2238
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Conference paper (peer-reviewed)abstract
- 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.
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| 12. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(author)
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Lean, simulation and optimization : A maturity model
- 2017
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In: IEEE International Conference on Industrial Engineering and Engineering Management. - : IEEE. - 9781538609484 - 9781538609477 - 9781538609491 ; , s. 1310-1315
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Conference paper (peer-reviewed)abstract
- 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.
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| 13. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(author)
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Supporting the lean journey with simulation and optimization in the context of Industry 4.0
- 2018
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In: Procedia Manufacturing. - : Elsevier. - 2351-9789. ; 25, s. 586-593
-
Journal article (peer-reviewed)abstract
- 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.
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| 14. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(author)
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System design and improvement of an emergency department using Simulation-Based Multi-Objective Optimization
- 2015
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In: Journal of Physics, Conference Series. - : Institute of Physics Publishing (IOPP). - 1742-6588 .- 1742-6596. ; 616:1
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Journal article (peer-reviewed)abstract
- 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.
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| 15. |
- Linnéusson, Gary, et al.
(author)
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Analyzing closer care strategies for elderly patients : Experience and reflections from modeling with system dynamics
- 2021
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In: Operational Research Society 10th Simulation Workshop, SW 2021. - : Operational Research Society. - 9780903440660 ; , s. 117-126
-
Conference paper (peer-reviewed)abstract
- The expected demographic changes, and especially the rise in life expectancy, will considerably increase elderly patients' demand for healthcare. There are different strategies that can offer better care for these patients, reduce their unnecessary visits to the emergency departments, and in consequence, reduce the number of hospitalizations and days at the hospital. This study employed system dynamics to analyze the economic and quality-related effects of different closer care strategies such as investments in care coordinators and mobile health clinics, as well as to offer proactive care in the primary care facilities for elderly patients. The results indicate that a combination of the different strategies will support better care for patients, will reduce hospital costs and will reduce the existing pressure on the emergency department. The paper also reflects on the process followed to conduct the study and the lessons learned.
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| 16. |
- Linnéusson, Gary, et al.
(author)
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Learning from simulating with system dynamics in healthcare : evaluating closer care strategies for elderly patients
- 2023
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In: Journal of Simulation. - : Taylor & Francis. - 1747-7778 .- 1747-7786. ; 17:5, s. 557-579
-
Journal article (peer-reviewed)abstract
- This paper presents results from a simulation case study analyzing care strategies for elderly patients in a regional healthcare system (HCS) in Sweden. Three strategies to reduce emergency visits, hospitalisations, and stays were evaluated: care coordinators at emergency departments, mobile health clinics visiting fragile patients in their homes, and proactive primary care. Using system dynamics modelling and empirical data, the impact on the regional HCS was explored considering the reduced care demand and demographic changes. Subsequently, the impact on the population's health status was assessed. Combining strategies yielded the best outcome, but improving patients' health status may increase long-term care demand. The study emphasizes the importance of implementing these strategies to offer better care for elderly patients and reduce healthcare costs. Findings highlight the potential long-term effects of improving health status and the need for a comprehensive approach to address the evolving care demands of an ageing population.
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| 17. |
- Serrano Lasa, Ibon, et al.
(author)
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Pacemaker, bottleneck and order decoupling point in lean production systems
- 2009
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In: International journal of industrial engineering. - : International Journal of Industrial Engineering. - 1072-4761 .- 1943-670X. ; 16:4, s. 293-304
-
Journal article (peer-reviewed)abstract
- The purpose of this article as follows: The first is to clarify the theories underlying the definition of three concepts- Pacemaker, Bottleneck and Order Decoupling Point- in the field of production systems design, planning and control; the second is to demonstrate the existing interrelations between the three concepts; and third, to set out guidelines that will make identifying and defining these concepts easier, when attempting to design or redesign a system using a lean production approach. It is hoped that this paper will fill a gap in the literature by relating these three concepts from different points of view, as well as offer practical guidelines to academics or professionals involved in the design, or redesign, of a production system Keeping this in mind, the findings portrayed in this publication have been organized into the following sections. First the article describes the literature review process that led to acceptable theoretical descriptions for each of the three concepts. Then, from a conceptual point of view and depending on production strategy - Made-To-Order (MTO) or Made-To-Stock (MTS) -a set of considerations, in different practical situations are made establishing the relationships between each of the concepts. At the same time this document provides some procedural guidelines to help identify the three concepts. Then a practical case of production system redesign is proposed, in which aspects and methods described in this article are used. Finally, conclusions are drawn at the end. © INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING.
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| 18. |
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| 19. |
- Urenda Moris, Matías, et al.
(author)
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Diseño Y Análisis De Sistemas Productivos Utilizando La Optimización Mediante Simulación Basado En Internet
- 2012
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In: Ingenieria Industrial. - : Universidad del Bio-Bio. - 0717-9103 .- 0718-8307. ; 11:1, s. 37-49
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Journal article (other academic/artistic)abstract
- Los ingenieros de producción buscan contínuamente configuraciones óptimas de sus sistemas productivos, con el fin de alcanzar el máximo rendimiento en los mismos. Este es un trabajo que consume mucho tiempo en la industria, y rara vez se le conceden los recursos necesarios para que las decisiones a tomar sean las acertadas. Para poder tomar estas decisiones de una manera más eficiente, es necesario disponer de herramientas nuevas e innovadoras.Este artículo presenta la segunda generación de FACTS Analyzer, una herramienta cuya función se basa en la integración de una variedad de metodologías y técnicas, incluyendo: el modelado rápido por medio de un nuevo concepto de agregación y funciones simplificadas, la generación de modelos de simulación de manera automática y optimización mediante simulación apoyada por una innovadora arquitectura basada en Internet. Dichas metodologías y técnicas permiten que la simulación sea mucho más fácil de utilizar, y aceleran el tiempo de diseño y desarrollo de modelos, la fase de experimentación y los procesos de optimización, con el fin de apoyar el proceso de toma de decisiones. FACTS Analyzer es el resultado de varios años de investigación y desarrollo, en estrecha colaboración con la industria automotriz en Suecia.
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