| 1. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
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How can decision makers be supported in the improvement of an emergency department? : A simulation, optimization and data mining approach
- 2017
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Ingår i: Operations Research for Health Care. - : Elsevier. - 2211-6923 .- 2211-6931. ; 15, s. 102-122
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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| 2. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
-
Improving the material flow of a manufacturing company via lean, simulation and optimization
- 2017
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Ingår i: IEEE International Conference on Industrial Engineering and Engineering Management. - : IEEE. - 9781538609484 - 9781538609477 - 9781538609491 ; , s. 1245-1250
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Konferensbidrag (refereegranskat)abstract
- Companies are continuously working towards system and process improvement to remain competitive in a global 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.
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| 3. |
- Goienetxea Uriarte, Ainhoa, 1983-, et al.
(författare)
-
Lean, simulation and optimization : A maturity model
- 2017
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Ingår i: IEEE International Conference on Industrial Engineering and Engineering Management. - : IEEE. - 9781538609484 - 9781538609477 - 9781538609491 ; , s. 1310-1315
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Konferensbidrag (refereegranskat)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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