An integrated HFMEA simulation-based multi-objective optimisation model to improve the performances of hospitals: A case study

2021 ◽  
pp. 1-22
Author(s):  
Zeinab Rahimi Rise ◽  
Mohammad Mahdi Ershadi
Keyword(s):  
Multi Objective ◽  
Simulation Based ◽  
Optimisation Model

scholarly journals Multi-Objective Decision Analytics for Short-Notice Bushfire Evacuation: An Australian Case Study

2015 ◽  
Vol 19 ◽  
Author(s):  
Shahrooz Shahparvari ◽  
Prem Chhetri ◽  
Ahmad Abareshi ◽  
Babak Abbasi
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Time Window ◽  
Resource Utilisation ◽  
Decision Analytics ◽  
Multi Objective ◽  
Short Notice ◽  
Australian Case ◽  
Optimisation Model

This paper develops a multi-objective optimisation model to compute resource allocation,shelter assignment and routing options to evacuate late evacuees from affected areas to shelters.Three bushfire scenarios are analysed to incorporate constraints of restricted time-window and potential road disruptions.Capacity and number of rescue vehicles and shelters are other constraints that are identical in all scenarios.The proposed mathematical model is solved by ?-constraint approach.Objective functions are simultaneously optimised to maximise the total number of evacuees and assigned rescue vehicles and shelters.We argue that this model provides a scenario-based decision-making platform to aid minimise resource utilisation and maximise coverage of late evacuees.

Design and Analysis of a Sustainable Multi-Objective Distribution Network Using Simulation-Based Optimisation

2014 ◽  
Author(s):  
Morgan Rees ◽  
Qing Wang
Keyword(s):  
Carbon Emissions ◽  
Business Strategy ◽  
Distribution Network ◽  
Real Life ◽  
Ethical Business ◽  
Multi Objective ◽  
Current Activity ◽  
Distribution Centre ◽  
Simulation Based

This paper examines the distribution network for a manufacturing business looking at aspects of sustainability including economic, environmental and social considerations. The problem is initially approached mathematically, then applied experimentally using a specialist software, Orion-pi. A real life business, Rettig ICC, is used as a case study to show how the theory could be applied to a practical example and would provide financial savings, reduced carbon emissions and lay the groundwork for a more ethical business strategy. The results show it will be a financially and environmentally positive move to decrease the current activity at Birtley and operate an additional smaller distribution centre at Coventry.

scholarly journals A multi-objective optimisation model for sewer rehabilitation considering critical risk of failure

2012 ◽  
Vol 66 (11) ◽  
pp. 2410-2417 ◽  
Author(s):  
Ben Ward ◽  
Dragan A. Savić
Keyword(s):  
Cost Effective ◽  
Study Data ◽  
Optimal Solutions ◽  
Data Set ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Successful Work ◽  
Sewer Rehabilitation ◽  
Optimisation Model

A unique methodology for the optimal specification of sewer rehabilitation investment is presented in this paper. By accounting for the critical risk of asset failure, this methodology builds on previously successful work which explored the application of multi-objective optimisation tools to assist engineers with the specification of optimal rehabilitation strategies. The conventional sewerage rehabilitation specification process relies on the expertise of professional engineers to manually evaluate CCTV inspection information when determining the nature and extent of the rehabilitation solution. This process is not only tedious and subjective but it has no quantifiable means of identifying optimal solutions or possible combinations of optimal solutions in the delivery of catchment wide rehabilitation programmes. Therefore, the purely manual process of sewer rehabilitation design leaves a number of unanswered questions, such as: (1) Does the solution offer the greatest structural benefit to the network? (2) Is the solution the most cost-effective solution available? (3) Does the solution most greatly reduce the risk of critical asset failure? The application of a multi-objective genetic algorithm optimisation model, coupled with an enhanced critical risk methodology, has successfully answered these questions when applied to a case study data set provided by South West Water (UK).

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