Enrique Ruiz Zúñiga

ORCID: 0000-0003-4180-6003
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About
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Research Areas
  • Advanced Manufacturing and Logistics Optimization
  • Assembly Line Balancing Optimization
  • Flexible and Reconfigurable Manufacturing Systems
  • Healthcare Operations and Scheduling Optimization
  • Simulation Techniques and Applications
  • Digital Transformation in Industry
  • Occupational Health and Safety Research
  • Scheduling and Optimization Algorithms
  • Manufacturing Process and Optimization
  • BIM and Construction Integration
  • Robot Manipulation and Learning
  • Quality and Safety in Healthcare
  • Risk and Safety Analysis
  • Virtual Reality Applications and Impacts
  • Quality and Supply Management
  • Teleoperation and Haptic Systems
  • Complex Systems and Decision Making
  • Systems Engineering Methodologies and Applications
  • Healthcare Policy and Management
  • Visual Attention and Saliency Detection
  • Robotics and Automated Systems
  • Product Development and Customization

University of Skövde
2015-2024

Kyoto University
2022-2023

The improvement of emergency department processes involves the need to take into consideration multiple variables and objectives in a highly dynamic unpredictable environment, which makes decision-making task extremely challenging. use different methodologies tools support process is therefore key issue. This article presents novel approach healthcare Discrete Event Simulation, Simulation-Based Multi-Objective Optimization Data Mining techniques are used combination. methodology has been...

10.1016/j.orhc.2017.10.003 article EN cc-by-nc-nd Operations Research for Health Care 2017-10-23

Optimizing production systems is urgent and indispensable if companies are to cope with global competition a move from mass customization. The urgency of this need more obvious in old plants history modifications, expansions, adaptations their facilities. It common find complex, intricate inefficient material product flows as result poor facility layout. Several approaches can be used support the design optimal layouts. However, there lack suitable generic methodology for designing such...

10.1109/access.2020.3021753 article EN cc-by IEEE Access 2020-01-01

In the Industry 4.0 era, advanced analytical tools are essential for progressing with digital transformation, especially within complex socio-technical systems. However, growing complexity of these systems in manufacturing impedes system improvement, and traditional methods focusing solely on technological aspect often fall short. To overcome this problem, paper introduces an integrated methodology combining Discrete-Event Simulation, Functional Resonance Analysis Method, Work Domain...

10.1016/j.dajour.2023.100323 article EN cc-by-nc-nd Decision Analytics Journal 2023-09-09

Companies are continuously working towards system and process improvement to remain competitive in a global market. There different methods that support companies the achievement of goal. This paper presents an innovative combines lean, simulation optimization improve material flow manufacturing company. A description each step details lean tools principles taken into account, as well results achieved by application optimization. The project resulted improved layout employs automated guided...

10.1109/ieem.2017.8290092 article EN 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2017-12-01

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 not common among healthcare providers. The process systems involves necessity deal with trade-off optimal solutions that take into consideration a multiple number variables objectives. Complementing DES Multi-Objective Optimization (SMO) creates superior base finding these consequence, facilitates...

10.1088/1742-6596/616/1/012015 article EN Journal of Physics Conference Series 2015-05-22

Nowadays, due to the need of innovation and adaptation for mass production customized goods, many industries are struggling compete with manufacturing sector emerging in different countries around world. The understanding implementation improvement techniques is necessary order take part so-called fourth industrial revolution, Industry 4.0. This paper investigates how two well-known approaches, namely lean simulation-based optimization, can be combined concepts 4.0 improve efficiency avoid...

10.1109/wsc.2017.8248094 article EN 2018 Winter Simulation Conference (WSC) 2017-12-01

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

10.1016/j.procir.2018.03.227 article EN Procedia CIRP 2018-01-01

Nowadays, due to the need of innovation and adaptation for mass production customized goods, many industries are struggling compete with manufacturing sector emerging in different countries around world. The understanding implementation improvement techniques is necessary order take part so-called fourth industrial revolution, Industry 4.0. This paper investigates how two well-known approaches, namely lean simulation-based optimization, can be combined concepts 4.0 improve efficiency avoid...

10.5555/3242181.3242515 article EN Winter Simulation Conference 2017-12-03

Facility layout design is becoming more challenging as manufacturing moves from traditionally emphasised mass production to customisation. The increasing demand for customised products and services driving the need increase flexibility adaptability of both processes their material handling systems. A holistic approach designing facility layouts with optimised flows considering logistics systems constraints seems be missing in literature. Several tools, including traditional methods, analytic...

10.1177/09544054211017310 article EN Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture 2021-05-10

With robotics applications playing an increasingly significant role in our daily lives, it is crucial to develop effective methods for teaching and understanding their behavior. However, limited access physical robots educational institutions companies poses a obstacle many individuals. To overcome this barrier, novel framework that combines realistic robot simulation intuitive control mechanisms within virtual reality environment presented. By accurately emulating the characteristics...

10.3390/machines11080798 article EN cc-by Machines 2023-08-03

Manufacturing companies worldwide have recently experienced challenging times due to a lack of staff, materials, and components. This has mainly been caused by abrupted logistics chains collateral effects the last pandemic situation. Ideally, resilience engineering systems, systems that recovery capacity from difficulties, are prepared overcome changes in demand disruption production. However, flexibility, adaptability, available digital data limit implementation systems. To this problem...

10.1016/j.ifacol.2022.10.242 article EN IFAC-PapersOnLine 2022-01-01

Manufacturing sectors in Sweden have a long history that leads to common non-optimized flows on the shop floor. Especially when having really high product mix and low-volume of customized products, great deal effort with respect flow optimization is needed stay present compete globalized market. The goal this project support design development implementation new production systems logistics considering floor plant layout Swedish middle-size water pumps factory. In paper, help different types...

10.22360/summersim.2016.scsc.066 article EN 2016-01-01
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