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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Towards Operations Excellence: Optimising Staff Scheduling For New Emergency Department, Amr Arisha, Waleed Abo Hamad
Towards Operations Excellence: Optimising Staff Scheduling For New Emergency Department, Amr Arisha, Waleed Abo Hamad
Conference papers
This paper presents a case study of an Emergency Department of a public hospital in Dublin, and uses an integrated approach to determine optimal staffing levels to meet the challenges of its dynamic patient demand levels. A comprehensive stochastic model is developed to incorporate patients care pathways and the resources required along their treatment journeys. Analytical Hierarchical Process is utilised to enable decision makers to set their preferences for the facility’s strategic objectives. Evolutionary algorithms are applied to optimise staff schedules. The resulted optimized schedules maintains continuity of care delivery for patients while ensuring a balanced equilibrium among available staff.
A Multi-Objective Facility Location Model For Closed-Loop Supply Chain Network Under Uncertain Demand And Return, Saman Hassanzadeh Amin, Guoqing Zhang
A Multi-Objective Facility Location Model For Closed-Loop Supply Chain Network Under Uncertain Demand And Return, Saman Hassanzadeh Amin, Guoqing Zhang
Mechanical, Automotive & Materials Engineering Publications
A closed-loop supply chain (CLSC) network consists of both forward and reverse supply chains. In this paper, a CLSC network is investigated which includes multiple plants, collection centres, demand markets, and products. To this aim, a mixed-integer linear programming model is proposed that minimizes the total cost. Besides, two test problems are examined. The model is extended to consider environmental factors by weighed sums and ε-constraint methods. In addition, we investigate the impact of demand and return uncertainties on the network configuration by stochastic programming (scenario-based). Computational results show that the model can handle demand and return uncertainties, simultaneously.
A Three-Stage Model For Closed-Loop Supply Chain Configuration Under Uncertainty, Saman Hassanzadeh Amin, Guoqing Zhang
A Three-Stage Model For Closed-Loop Supply Chain Configuration Under Uncertainty, Saman Hassanzadeh Amin, Guoqing Zhang
Mechanical, Automotive & Materials Engineering Publications
In this paper, a general closed-loop supply chain (CLSC) network is configured which consists of multiple customers, parts, products, suppliers, remanufacturing subcontractors, and refurbishing sites. We propose a three-stage model including evaluation, network configuration, and selection and order allocation. In the first stage, suppliers, remanufacturing subcontractors, and refurbishing sites are evaluated based on a new quality function deployment (QFD) model. The proposed QFD model determines the relationship between customer requirements, part requirements, and process requirements. In addition, the fuzzy sets theory is utilised to overcome the uncertainty in the decision-making process. In the second stage, the closed-loop supply chain network …
Determining Stakeholder Influence Using Input-Output Modeling, Patrick T. Hester, Kevin Macg. Adams
Determining Stakeholder Influence Using Input-Output Modeling, Patrick T. Hester, Kevin Macg. Adams
Engineering Management & Systems Engineering Faculty Publications
Stakeholders are a vital element in all complex systems problems. They are customers, users, clients, suppliers, employees, and team members. They fund the system, design it, build it, operate it, use it, maintain it, and dispose of it. While many approaches exist for classifying and determining their attitudes, these approaches stop short of evaluating stakeholders in a holistic manner. This paper closes this research gap by developing the metric of stakeholder situation influence, a measure which allows for quantitative evaluation of stakeholder influence on a given problem. This measure is derived from Leontief Input-Output analysis. The developed approach extends previous …