A5011301554- Simulation Techniques and Applications
- Business Process Modeling and Analysis
- Complex Systems and Decision Making
- Healthcare Operations and Scheduling Optimization
- Systems Engineering Methodologies and Applications
- Modeling and Simulation Systems
- Manufacturing Process and Optimization
- Spreadsheets and End-User Computing
- Modeling, Simulation, and Optimization
- Assembly Line Balancing Optimization
- Supply Chain and Inventory Management
- Software Reliability and Analysis Research
- Model-Driven Software Engineering Techniques
- Service-Oriented Architecture and Web Services
- Health Systems, Economic Evaluations, Quality of Life
- Advanced Database Systems and Queries
- Scientific Computing and Data Management
- Advanced Queuing Theory Analysis
- Big Data and Business Intelligence
- Scheduling and Optimization Algorithms
- Software Engineering Techniques and Practices
- Quality and Safety in Healthcare
- Quality and Supply Management
- Healthcare Policy and Management
- Sustainable Supply Chain Management
Mount Zion College of Engineering and Technology
2024
Newcastle University
2022-2024
Loughborough University
2013-2022
Brunel University of London
1995-2021
Leicester City Council
2021
City, University of London
2021
ITMO University
2021
University of Oxford
2017
IBM Research - Almaden
2013
University of Warwick
2003-2012
The growing attention and prominence afforded to analytics presents a genuine challenge for the operational research community. Many in community have recognised this growth sought align themselves with analytics. For instance, US society INFORMS now offers related conferences, certification magazine. However, as shown research, volume of analytics-orientated studies journals associated is comparatively low. This paper seeks address paradox by seeking better understand what is, how it. To do...
This study develops a standardised checklist approach to improve the reporting of discrete-event simulation, system dynamics and agent-based simulation models within field Operational Research Management Science. Incomplete or ambiguous means that many studies are not reproducible, leaving other modellers with an incomplete picture what has been done unable judge reliability results. Crucially, unclear makes it difficult reproduce reuse findings. In this paper, we review evidence on quality...
The publication of the first results SERVQUAL instrument provoked a debate on how best to measure service quality. With more than decade since those many researchers have attempted demonstrate efficacy, or not, instrument, develop their own measurement methods. This paper reviews this in relation six key aspects: purpose instrument; definition quality; models for quality measurement; dimensionality issues relating expectations; and format instrument. main areas agreement disagreement are...
Article Free Access Share on Simulation model verification and validation: increasing the users' confidence Author: Stewart Robinson Operations Information Management Group, Aston Business School, University, Birmingham, B4 7ET, United Kingdom KingdomView Profile Authors Info & Claims WSC '97: Proceedings of 29th conference Winter simulationDecember 1997Pages 53–59https://doi.org/10.1145/268437.268448Published:01 December 1997Publication History 99citation2,101DownloadsMetricsTotal...
Over the last decade there has been a growing interest in `conceptual modeling' for simulation. This is signified by greater intensity of research and volume papers on topic. What becoming apparent, however, that when it comes to conceptual modeling are quite different views opinions. These differences may be beneficial creating debate takes field forward, but they can also lead confusion. The purpose this panel leading researchers identify discuss their modeling. In particular we will...
Globalisation and competitive pressure urge many organisations to radically change business processes. Although this approach can provide significant benefits such as reducing costs or improving efficiency, there are substantial risks associated with it. Using simulation for modelling analysis of processes reduce that risk increase the chance success process re-engineering projects. This paper investigates potential be used supports case a wider use techniques by community. Following...
It is generally recognized that conceptual modeling one of the most vital parts a simulation study. At same time, it also seems to be least understood. A review extant literature on reveals range issues need addressed: definition model(ling), model requirements, how develop model, representation and communication, validation, teaching modeling. clear this an area ripe for further research, clarification ideas development new approaches. Some areas in which research could carried out are identified.
It is generally recognized that conceptual modeling one of the most vital parts a simulation study. At same time, it also seems to be least understood. A review extant literature on reveals range issues need addressed: definition model(ling), model requirements, how develop model, representation and communication, validation, teaching modeling. clear this an area ripe for further research, clarification ideas development new approaches. Some areas in which research could carried out are identified