The Influence of Evolving Confucian Beliefs in the Selection of Proxy Decision-Makers at the End of Life in Singapore

2017 ◽  
Vol 9 (1-2) ◽  
pp. 117-128 ◽  
Author(s):  
Min Kai Chang ◽  
Mei Xing Lim ◽  
Keson Tay ◽  
Rachel Jiayu Lee ◽  
Dorsett SW Sim ◽  
...  
Keyword(s):  
End Of Life ◽  
Decision Makers ◽  
Selection Of

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

GIS Based Multi-Criteria decision support system and machine learning for Hospital Site Selection case study Oran - Algeria

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Site Selection ◽  
Decision Makers ◽  
Analysis Method ◽  
Automatic Learning ◽  
Hospital Site ◽  
Set Up ◽  
High Level ◽  
Selection Of ◽  
The Ideal

The selection of hospital sites is one of the most important choice a decision maker has to take so as to resist the pandemic. The decision may considerably affect the outbreak transmission in terms of efficiency , budget, etc. The main targeted objective of this study is to find the ideal location where to set up a hospital in the willaya of Oran Alg. For this reason, we have used a geographic information system coupled to the multi-criteria analysis method AHP in order to evaluate diverse criteria of physiological positioning , environmental and economical. Another objective of this study is to evaluate the advanced techniques of the automatic learning . the method of the random forest (RF) for the patterning of the hospital site selection in the willaya of Oran. The result of our study may be useful to decision makers to know the suitability of the sites as it provides a high level of confidence and consequently accelerate the power to control the COVID19 pandemic.

scholarly journals Implementasi Metode Electre Dalam Penentuan Karyawan Berprestasi (Studi Kasus: PT. MEGARIMAS SENTOSA)

2018 ◽  
Vol 3 ◽  
pp. 32
Author(s):  
Mesran Mesran ◽  
Selpi Anita ◽  
Ronda Deli Sianturi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Human Resources ◽  
Support System ◽  
Decision Makers ◽  
Electre Method ◽  
The Right ◽  
Assessment Result ◽  
Selection Of

One of the important things that an employee must have is not separated from the performance of an employee. For the effectiveness of human resources work in the assessment of the right decision is needed. Therefore, the software is made that can take a decision to recommend employee achievement for PT. Megariamas Sentosa. The software is built on the basis of a decision support system that has the ability to select outstanding employees using the ELECTRE method. This Electre method has criteria that can determine alternative decisions in application in the software. So that decision makers can determine the selection of outstanding employees. The process in this Electre method compares employees with one employee to another and gives out put value of priority intensity in the form of the assessment result / criteria that has been specified by the company to the employee. The result of this process is recommended as an outstanding employee in PT. Megaria Mas Sentosa.

scholarly journals Evaluation and Selection of Nigerian Third-Party Logistics Service Providers Using Multi-Criteria Decision Models

2021 ◽  
Vol 12 (1) ◽  
pp. 135-146
Author(s):  
E.A. Ejem ◽  
C.M. Uka ◽  
D.N. Dike ◽  
C.C. Ikeogu ◽  
C.C. Igboanusi ◽  
...  
Keyword(s):  
Service Providers ◽  
Service Level ◽  
Decision Makers ◽  
Third Party ◽  
Decision Models ◽  
Third Party Logistics ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Selection Of

Abstract This paper is focused on solving the evaluation and selection of 3PL’s by applying multi-criteria decision-making methods. Nigerian Breweries, Nigerian Bottling Company (NBC), AG Leventis, Kobo logistics, and Flour Mills of Nigeria (FMN) were understudied. The main criteria on which evaluation is based were established: Cost, Service level, Financial Capability, Reputation and Long-term relationship. A combination of two quantitative models was adopted in the study. Relevant data were collected through an oral interview with managers and key decision-makers at the companies. SWARA was first applied to the collated data to determine the relative weights of the criteria. Afterwards, the TOPSIS was applied to the weights developed using SWARA and on the performance of the selected service providers. After the analysis, the best service provider was identified as supplier 2 while the worst was supplier 5.

scholarly journals From Buildings’ End of Life to Aggregate Recycling under a Circular Economic Perspective: A Comparative Life Cycle Assessment Case Study

2021 ◽  
Vol 13 (17) ◽  
pp. 9625
Author(s):  
Ambroise Lachat ◽  
Konstantinos Mantalovas ◽  
Tiffany Desbois ◽  
Oumaya Yazoghli-Marzouk ◽  
Anne-Sophie Colas ◽  
...  
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
End Of Life ◽  
Environmental Impacts ◽  
Open Loop ◽  
Decision Makers ◽  
Construction And Demolition Waste ◽  
Recycled Aggregates ◽  
Demolition Waste

The demolition of buildings, apart from being energy intensive and disruptive, inevitably produces construction and demolition waste (C&Dw). Unfortunately, even today, the majority of this waste ends up underexploited and not considered as valuable resources to be re-circulated into a closed/open loop process under the umbrella of circular economy (CE). Considering the amount of virgin aggregates needed in civil engineering applications, C&Dw can act as sustainable catalyst towards the preservation of natural resources and the shift towards a CE. This study completes current research by presenting a life cycle inventory compilation and life cycle assessment case study of two buildings in France. The quantification of the end-of-life environmental impacts of the two buildings and subsequently the environmental impacts of recycled aggregates production from C&Dw was realized using the framework of life cycle assessment (LCA). The results indicate that the transport of waste, its treatment, and especially asbestos’ treatment are the most impactful phases. For example, in the case study of the first building, transport and treatment of waste reached 35% of the total impact for global warming. Careful, proactive, and strategic treatment, geolocation, and transport planning is recommended for the involved stakeholders and decision makers in order to ensure minimal sustainability implications during the implementation of CE approaches for C&Dw.

scholarly journals Multi-Objective Pharmaceutical Portfolio Optimization under Uncertainty of Cost and Return

Mathematics ◽  
2021 ◽  
Vol 9 (18) ◽  
pp. 2339
Author(s):  
Mahboubeh Farid ◽  
Hampus Hallman ◽  
Mikael Palmblad ◽  
Johannes Vänngård
Keyword(s):  
Portfolio Optimization ◽  
Decision Makers ◽  
Optimization Under Uncertainty ◽  
Product Development Process ◽  
Multi Objective ◽  
Probability Of Success ◽  
Low Probability ◽  
Key Aspects ◽  
The Cost ◽  
Selection Of

This paper presents the study of multi-objective optimization of a pharmaceutical portfolio when both cost and return values are uncertain. Decision makers in the pharmaceutical industry encounter several challenges in deciding the optimal selection of drug projects for their portfolio since they have to consider several key aspects such as a long product-development process split into multiple phases, high cost and low probability of success. Additionally, the optimization often involves more than a single objective (goal) with a non-deterministic nature. The aim of the study is to develop a stochastic multi-objective approach in the frame of chance-constrained goal programming. The application of the results of this study allows pharmaceutical decision makers to handle two goals simultaneously, where one objective is to achieve a target return and another is to keep the cost within a finite annual budget. Finally, the numerical results for portfolio optimization are presented and discussed.

Material Selection Using a Novel Multiple Attribute Decision Making Method

2012 ◽  
pp. 252-266
Author(s):  
R. V. Rao ◽  
B. K. Patel
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Decision Maker ◽  
Design Process ◽  
Material Selection ◽  
Multiple Attribute Decision Making ◽  
Decision Makers ◽  
Selection Problem ◽  
Multiple Attribute ◽  
Selection Of

Selection of a most appropriate material is a very important task in design process of every product. There is a need for simple, systematic, and logical methods or mathematical tools to guide decision makers in considering a number of selection attributes and their interrelations and in making right decisions. This paper proposes a novel multiple attribute decision making (MADM) method for solving the material selection problem. The method considers the objective weights of importance of the attributes as well as the subjective preferences of the decision maker to decide the integrated weights of importance of the attributes. Furthermore, the method uses fuzzy logic to convert the qualitative attributes into the quantitative attributes. Two examples are presented to illustrate the potential of the proposed method.

scholarly journals Pre-Selection of the Optimal Sitting of Phase-Shifting Transformers Based on an Optimization Problem Solved within a Coordinated Cross-Border Congestion Management Process

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3748 ◽  
Author(s):  
Endika Urresti-Padrón ◽  
Marcin Jakubek ◽  
Wojciech Jaworski ◽  
Michał Kłos
Keyword(s):  
Optimization Problem ◽  
Congestion Management ◽  
Decision Makers ◽  
Phase Shifting ◽  
Management Process ◽  
European Policy ◽  
Cross Border ◽  
Remedial Actions ◽  
The Cost ◽  
Selection Of

The current European policy roadmap aims at forcing the TSOs to coordinate remedial actions used for relieving the congestions in the synchronous power system. In this paper, an optimization problem for coordinated congestion management is described and its results obtained for a real European use cases created in the H2020 EU-SysFlex project are presented. First of all, these results prove the feasibility of a central optimization problem for the coordination of the cross-border congestion management process. Next, the formulated optimization problem is used to tackle the issue of planning the investments in phase-shifting transformers (PSTs), for the purpose of increasing the efficiency/decreasing the cost of congestion management. Finally, this paper introduces two optimization-based indicators for pre-selecting the investment sites, which may be used to support the decision makers aiming at decreasing the costs of coordinated congestion management.

scholarly journals Combining Decision Support Approaches for Optimizing the Selection of Bundles of Ecosystem Services

Forests ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 438 ◽  
Author(s):  
Marco Marto ◽  
Keith Reynolds ◽  
José Borges ◽  
Vladimir Bushenkov ◽  
Susete Marques
Keyword(s):  
Decision Support ◽  
Ecosystem Services ◽  
Pareto Frontier ◽  
Efficient Solutions ◽  
Decision Makers ◽  
Management Decision ◽  
Web Based ◽  
Spatial Logic ◽  
Alternative Solutions ◽  
Selection Of

This study examines the potential of combining decision support approaches to identify optimal bundles of ecosystem services in a framework characterized by multiple decision-makers. A forested landscape, Zona de Intervenção Florestal of Paiva and Entre-Douro and Sousa (ZIF_VS) in Portugal, is used to test and demonstrate this potential. The landscape extends over 14,388 ha, representing 1976 stands. The property is fragmented into 376 holdings. The overall analysis was performed in three steps. First, we selected six alternative solutions (A to F) in a Pareto frontier generated by a multiple-criteria method within a web-based decision support system (SADfLOR) for subsequent analysis. Next, an aspatial strategic multicriteria decision analysis (MCDA) was performed with the Criterium DecisionPlus (CDP) component of the Ecosystem Management Decision Support (EMDS) system to assess the aggregate performance of solutions A to F for the entire forested landscape with respect to their utility for delivery of ecosystem services. For the CDP analysis, SADfLOR data inputs were grouped into two sets of primary criteria: Wood Harvested and Other Ecosystem Services. Finally, a spatial logic-based assessment of solutions A to F for individual stands of the study area was performed with the NetWeaver component of EMDS. The NetWeaver model was structurally and computationally equivalent to the CDP model, but the key NetWeaver metric is a measure of the strength of evidence that solutions for specific stands were optimal for the unit. We conclude with a discussion of how the combination of decision support approaches encapsulated in the two systems could be further automated in order to rank several efficient solutions in a Pareto frontier and generate a consensual solution.

scholarly journals Pediatric-Specific End-of-Life Care Quality Measures: An Unmet Need of a Vulnerable Population

2017 ◽  
Vol 13 (10) ◽  
pp. e874-e880 ◽  
Author(s):  
Emily E. Johnston ◽  
Abby R. Rosenberg ◽  
Arif H. Kamal
Keyword(s):  
End Of Life ◽  
End Of Life Care ◽  
Quality Measures ◽  
Care Quality ◽  
Patient Choice ◽  
Decision Makers ◽  
Hospital Death ◽  
Life Care ◽  
High Quality ◽  
National Quality

We must ensure that the 20,000 US children (age 0 to 19 years) who die as a result of serious illness annually receive high-quality end-of-life care. Ensuring high-quality end-of-life care requires recognition that pediatric end-of-life care is conceptually and operationally different than that for adults. For example, in-hospital adult death is considered an outcome to be avoided, whereas many pediatric families may prefer hospital death. Because pediatric deaths are comparatively rare, not all centers offer pediatric-focused palliative care and hospice services. The unique psychosocial issues facing families who are losing a child include challenges for parent decision makers and young siblings. Furthermore, the focus on advance directive documentation in adult care may be less relevant in pediatrics because parental decision makers are available. Health care quality measures provide a framework for tracking the care provided and aid in agency and provider accountability, reimbursement, and educated patient choice for location of care. The National Quality Forum, Joint Commission, and other groups have developed several end-of-life measures. However, none of the current quality measures focus on the unique needs of dying pediatric patients and their caregivers. To evolve the existing infrastructure to better measure and report quality pediatric end-of-life care, we propose two changes. First, we outline how existing adult quality measures may be modified to better address pediatric end-of-life care. Second, we suggest the formation of a pediatric quality measure end-of-life task force. These are the next steps to evolving end-of-life quality measures to better fit the needs of seriously ill children.

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