Operations Research, Systems Engineering and Industrial Engineering Commons^™

Simulation Model To Investigate Flexible Workload Management For Healthcare And Servicescape Environment, Michael Thorwarth, Paul Harper, Amr Arisha

Conference papers

High demand and poor staffing conditions cause avoidable pressure and stress among healthcare personnel which results in burnout symptoms and unplanned absenteeism which are hidden cost drivers. The work environment within an emergency department is commonly arranged in a flexible workload which is highly dynamic and complex for the outside observer. Using detailed simulation modeling within structured modeling methods, a comprehensive model to characterize the nurses' time utilization in such flexible dynamic workload environment was investigated. The results have been used to derive a generalized analytic expression that describes certain settings that lead to an instable queuing system with serious …

Enabling Rfid Technology In Irish Hospitals, Khaled Ismail, Amr Arisha

Conference papers

Hospitals represent a significant part of healthcare systems and account for no less than 60% of the entire healthcare service in most of developed countries. Therefore, improving service in hospitals is an important element to the process of healthcare reform. Better use of resources, more consistent quality, and a higher service level are the keys to rationalise the huge expenditure in healthcare systems due to higher growth in demand. Even though massive spending has been directed towards hospital improvement in Ireland, services provided in Irish hospitals are ranked relatively low comparing to the other European countries. Growth of population, aging, …

Risk Assessment Model For Emergency Departments In Dublin Hospitals, Michael Thorwarth, Amr Arisha

Conference papers

The internal dynamics of emergency departments (ED) in Irish hospitals represent complex non-linear stochastic systems with an environment of uncertainty, variability and limited resources. Planning and managing such systems pose overwhelming demands. To improve operations, patient service, resource planning, and real-time reaction to unexpected events, sophisticated tools to efficiently achieve these goals must be applied.

Advanced solution techniques (e.g. simulation and optimisation) have been successfully applied in manufacturing operations to improve the delivery, cost-effectiveness and service quality. Yet, random arrival of patients, limited resources and multitasking are challenges in EDs that add more complexity to this critical area. This study …

Optimisation Methods In Supply Chain Applications: A Review, Amr Arisha, Waleed Abo Hamad

Conference papers

The competitiveness and dynamic nature of today’s marketplace is due to rapid advances in information technology, short product life cycles and the continuing trend in global outsourcing. Managing the resulting supply chain networks effectively is a complex and challenging task which is imputable to high level of uncertainty in supply-demand, conflict objectives, vagueness of information, numerous decision variables and constraints. With such level of complexity in the environment, supply chain optimisation has a potential to make a significant contribution to resolve the challenges. In this paper, a literature review – based on more than one hundred peer-reviewed articles – of …

Learning Without Default: A Study Of One-Class Classification And The Low-Default Portfolio Problem, Kenneth Kennedy, Brian Mac Namee, Sarah Jane Delany

Conference papers

This paper asks at what level of class imbalance one-class classifiers outperform two-class classifiers in credit scoring problems in which class imbalance, referred to as the low-default portfolio problem, is a serious issue. The question is answered by comparing the performance of a variety of one-class and two-class classifiers on a selection of credit scoring datasets as the class imbalance is manipulated. We also include random oversampling as this is one of the most common approaches to addressing class imbalance. This study analyses the suitability and performance of recognised two-class classifiers and one-class classifiers. Based on our study we conclude …