scholarly journals A fuzzy-TOPSIS model for maintenance outsourcing considering the quality of submitted tender documents

2021 ◽  
Vol 23 (3) ◽  
pp. 443-453
Author(s):  
Maysa Alshraideh ◽  
Shereen Ababneh ◽  
Elif Elcin Gunay ◽  
Omar Al-Araidah
Keyword(s):  
Decision Making ◽  
Selection Criteria ◽  
Fuzzy Topsis ◽  
Final Decision ◽  
Proposed Model ◽  
Maintenance Outsourcing ◽  
Multiple Experts ◽  
Decision Making Model

The paper provides a multiple-experts Fuzzy-TOPSIS decision-making model for the selection among maintenance contractors based on the quality of tendering documents. The study introduces a set of selection criteria utilizing benefit and cost criteria from literature. The proposed model aggregates subjective linguistic assessments of multiple experts that express their opinions on the degree of importance of criteria and allows multiple decisionmakers to evaluate the compliance of contractors’ documents. For a case study, the model is applied to select among contractors tendering to maintain the heavy-duty cranes of an international steel company from literature. Several decision-making scenarios are investigated, and major changes in the final decision are observed. The changes in obtained results illustrate the need to better address uncertainties in rating and tendering an overqualified contractor at a higher cost.

Decision-Making in the Prescription of Orthotics and Prosthetics for Partial-Foot Amputees

2019 ◽  
Author(s):  
Pratima Saravanan ◽  
Charity Hipple ◽  
Jingxin Wang ◽  
Christopher McComb ◽  
Jessica Menold
Keyword(s):  
Decision Making ◽  
Low Income ◽  
Low Income Countries ◽  
Extensive Literature ◽  
Proposed Model ◽  
Decision Making Model ◽  
Future Work ◽  
Automated Methods

Abstract Prosthetists face a daunting number of decisions that directly affect an amputee’s ability to walk and indirectly affect the overall quality of life of that amputee. In addition, the lack of resources in low-income countries provides a barrier to receive care after an amputation, and approximately 80% of amputees in low-income countries lack appropriate prosthetic care. In this research, we are motivated to understand what factors affect the decision-making strategies of prosthetists and podiatrists when prescribing prosthetics and orthotics to partial foot amputees. This work establishes a decision-making framework as a step towards automated methods that may reduce the complexities and decision-making burden of prosthetic prescription, ultimately increasing the efficiency of prosthetic prescription in low-resourced areas. A decision-making model is proposed based on an extensive literature review of over 100 papers. The proposed model is compared to qualitative data regarding decision-making strategies during prosthetic or orthotic prescription collected from nine prosthetists, surgeons, and other healthcare professionals directly involved in amputee care. Changes to the proposed model are described and future work exploring the role of automated methods to support decision-making in the context of prosthetics is discussed.

scholarly journals USING A MULTI-CRITERIA DECISION-MAKING MODEL TO EVALUATE AND SELECT AN E-COMMERCE PLATFORM

2022 ◽  
Vol 4 (1) ◽  
pp. 26-35
Author(s):  
Vu Duc Thanh ◽  
Luu Huu Van ◽  
Nguyen Thi Anh Tuyet ◽  
Hoang Minh Tuan
Keyword(s):  
Decision Making ◽  
Business Models ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Online Platforms ◽  
Proposed Model ◽  
Decision Making Problem ◽  
Online Business ◽  
Decision Making Model

The COVID-19 pandemic has led to disruptions in consumers' lifestyles and purchases, as well as businesses' online business models. Online platforms are increasingly used for shopping purposes. To evaluate and choose an e-commerce platform requires using many criteria and decision makers. Therefore, the process of evaluating and selecting an e-commerce platform is viewed as a multi-criteria decision-making problem. The objective of this study is to develop a multi-criteria decision-making model to help consumers evaluating the e-commerce platforms. In the proposed model, the ratings of alternatives and the weights of the criteria are evaluated using the linguistic variable. Simulation examples are used to show the effectiveness of the model in practice.  Keywords: Fuzzy TOPSIS, E-Commerce Platform, Mcdm, Fuzzy Sets.

scholarly journals Multi-Criteria Fuzzy-Stochastic Diffusion Model of Groundwater Control System Selection

Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 705 ◽  
Author(s):  
Dušan Polomčić ◽  
Zoran Gligorić ◽  
Dragoljub Bajić ◽  
Miloš Gligorić ◽  
Milanka Negovanović
Keyword(s):  
Decision Making ◽  
Control System ◽  
Final Decision ◽  
Stochastic Diffusion ◽  
Open Cast Mine ◽  
System Selection ◽  
Decision Making Model ◽  
Open Cast ◽  
Selection Of

When considering data and parameters in hydrogeology, there are often questions of uncertainty, vagueness, and imprecision in terms of the quantity of spatial distribution. To overcome such problems, certain data may be subjectively expressed in the form of expert judgment, whereby a heuristic approach and the use of fuzzy logic are required. In this way, decision-making criteria relating to an optimal groundwater control system do not always have a numerical value. Groundwater control scenarios (alternatives) are identified through hydrodynamic modeling of the aquifer, providing an indication of their effectiveness. The paper develops a fuzzy-stochastic multi-criteria decision-making model to deal with a topical problem: selection of the most suitable groundwater control system for an open-cast mine. Both real numerical and linguistic variables are used to express the values of all criteria that affect the final decision. In particular, it should be pointed out that the values of the criteria are varied over a predefined time horizon. For mathematical calculations, fuzzy dynamic TOPSIS and the stochastic diffusion process—geometric Brownian motion—were used. The proposed method is tested in a case study: the selection of an optimal groundwater control system for an open-cast mine.

Assessing ventilation strategies in a school with observed indoor air problems

Facilities ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ulrika Uotila ◽  
Arto Saari ◽  
Juha-Matti Kalevi Junnonen ◽  
Lari Eskola
Keyword(s):  
Decision Making ◽  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Final Decision ◽  
Target Number ◽  
Content Type ◽  
Existing Building ◽  
Ventilation Strategies

Purpose Poor indoor air quality in schools is a worldwide challenge that poses health risks to pupils and teachers. A possible response to this problem is to modify ventilation. Therefore, the purpose of this paper is to pilot a process of generating alternatives for ventilation redesign, in an early project phase, for a school to be refurbished. Here, severe problems in indoor air quality have been found in the school. Design/methodology/approach Ventilation redesign is investigated in a case study of a school, in which four alternative ventilation strategies are generated and evaluated. The analysis is mainly based on the data gathered from project meetings, site visits and the documents provided by ventilation and condition assessment consultants. Findings Four potential strategies to redesign ventilation in the case school are provided for decision-making in refurbishment in the early project phase. Moreover, the research presents several features to be considered when planning the ventilation strategy of an existing school, including the risk of alterations in air pressure through structures; the target number of pupils in classrooms; implementing and operating costs; and the size of the space that ventilation equipment requires. Research limitations/implications As this study focusses on the early project phase, it provides viewpoints to assist decision-making, but the final decision requires still more accurate calculations and simulations. Originality/value This study demonstrates the decision-making process of ventilation redesign of a school with indoor air problems and provides a set of features to be considered. Hence, it may be beneficial for building owners and municipal authorities who are engaged in planning a refurbishment of an existing building.

Learning from failures: Design improvements using a multiple criteria decision-making process

2003 ◽  
Vol 217 (4) ◽  
pp. 207-216 ◽  
Author(s):  
G G Davidson ◽  
A W Labib
Keyword(s):  
Decision Making ◽  
Failure Modes ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Mathematical Representation ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Invaluable Tool ◽  
History Of

This paper proposes a new concept of decision analysis based on a multiple criteria decision making (MCDM) process. This is achieved through the provision of a systematic and generic methodology for the implementation of design improvements based on experience of past failures. This is illustrated in the form of a case study identifying the changes made to Concorde after the 2000 accident. The proposed model uses the analytic hierarchy process (AHP) mathematical model as a backbone and integrates elements of a modified failure modes and effects analysis (FMEA). The AHP has proven to be an invaluable tool for decision support since it allows a fully documented and transparent decision to be made with full accountability. In addition, it facilitates the task of justifying improvement decisions. The paper is divided as follows: the first section presents an outline of the background to the Concorde accident and its history of related (non-catastrophic) malfunctions. The AHP methodology and its mathematical representation are then presented with the integrated FMEA applied to the Concorde accident. The case study arrives at the same conclusion as engineers working on Concorde after the accident: that the aircraft may fly again if the lining of the fuel tanks are modified.

scholarly journals Refusal to Travel in the National Ambulance Service. A Patient Care Report examination.

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Eamonn Byrne ◽  
Sasha Selby ◽  
Paul Gallen ◽  
Alan Watts
Keyword(s):  
Decision Making ◽  
Patient Care ◽  
Shared Decision Making ◽  
Vital Signs ◽  
Ambulance Service ◽  
Guidance Document ◽  
Shared Decision ◽  
Clinical Guidance ◽  
Decision Making Model

<p><strong>Introduction</strong></p><p>Every patient has the right to refuse treatment and, or transport (RTT) to hospital (1). The National Ambulance Service (NAS) has operated under a clinical guidance document that requires an assessment of patient capacity and a baseline amount of data to be gathered on every patient to facilitate the patient making an informed decision (2,3). An increase in the rate of non-conveyance of patients and refusal to travel calls as well as an increasing number of complaints prompted a quality improvement initiative based on improving and facilitating a shared decision-making model.</p><p><strong>Aim</strong></p><p>For patients who RTT, to establish a baseline quality of information collected and recorded on a Patient Care Report.</p><p><strong>Methods</strong></p><p>All NAS incidents closed with a refusal of treatment or transport, from 1<sup>st</sup> Jan 2017 to 9<sup>th</sup> November 2017 were identified from National Emergency Operation Centre (NEOC). A random selection of 75 Patient care reports (52 Paper and 23 Electronic) were identified and reviewed. Compliance with the refusal to travel guidance document was measured.</p><p><strong>Results</strong></p><p>31% of paper PCR’s reviewed were missing a complete set of vital signs. An average of 48.4 % (Median 48.4% Range 36.5% to 61.5%) were missing a complete second set of vital signs. 17.3% of combined forms were missing the patient’s chief complaint and 38.7% had no practitioner clinical impression entered. 24% had no capacity assessment completed.</p><p><strong>Conclusion</strong></p><p>Clinical information recorded by NAS staff did not meet the clinical guidance document requirements. It is impossible to assess what information was given to a patient to facilitate a shared decision-making model. The quality of NAS documentation can be improved for patients who refuse to travel.</p>

Modeling bid/no bid decisions using fuzzy fault tree

2018 ◽  
Vol 18 (1) ◽  
pp. 90-108 ◽  
Author(s):  
Mohamed Marzouk ◽  
Emad Mohamed
Keyword(s):  
Fault Tree ◽  
The Body ◽  
Final Decision ◽  
Extensive Literature ◽  
Willingness To Participate ◽  
Tree Model ◽  
Content Type ◽  
Proposed Model ◽  
Multiple Experts ◽  
Two Stages

Purpose Decisions by construction contractors to bid (or not to bid) require the thorough assessment and evaluation of factors relevant to the decision, as well as the quantification of their combined impact, to produce successful bid/no-bid decisions. The purpose of this study is to present a fuzzy fault tree model to assist construction contractors to more efficiently bid for future projects. Design/methodology/Approach The proposed model consist of two stages: first, identification of the factors that affect bidding decision using a questionnaire survey after an extensive literature review, and second, usage of the identified factors to build a fuzzy fault tree model to simulate the bidding decision. Findings A list of 15 factors that affect bid/no-bid decisions was identified. Analysis of factors revealed that the highest-ranking factors were related to financial aspects of the project. A case study is presented to demonstrate the capabilities of the model, and a fuzzy important analysis is performed on the basic events to demonstrate the differences between three contractors’ bid/no-bid decisions. The results reveal that there is variation between the decisions of each contractor based on their willingness to participate. Besides, the influence of evaluation factors on the final decision for each contractor is different. Originality/value The study contributes to the body of knowledge on tendering and bidding practices. The proposed model incorporated the fuzzy set theory, which suits human subjectivity. The proposed methodology overcomes the limitations of previous models as it can, using the linear pool opinion principle, combine and weigh the evaluations of multiple experts. In addition, the model is convenient for situations where historical data are not available.

Decision-Making Model for Convention Site Selection

2012 ◽  
Vol 538-541 ◽  
pp. 895-900 ◽  
Author(s):  
Han Chen Huang
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Political Conflict ◽  
Decision Makers ◽  
City Image ◽  
Analytic Hierarchy ◽  
Number Of Factors ◽  
Decision Making Model ◽  
Hierarchy Process

A number of factors must be considered when selecting a convention site. Typically, most selections are based on the decision makers’ knowledge and experience, which may lead to biased decisions based on the decision makers’ subjective judgment. This study establishes decision-making evaluation factors and attributes for convention site selection based on a literature review. After surveying experts’ opinions using questionnaires, we employed the fuzzy analytic hierarchy process (FAHP) to analyze the weighting of the factors and attributes. The results show that of the five evaluation factors, site environment is the most important, followed by meeting and accommodation facilities, local support, extraconference opportunities, and costs. Additionally, the five most important attributes among the 20 evaluation attributes are the suitability of convention facilities, suitability and quality of local infrastructure, climate, city image, and political conflict or terrorist threats.

Constructing a Hierarchy and Simulation Model to Assess Digital Recorder Sensor System

2012 ◽  
Vol 263-266 ◽  
pp. 857-860
Author(s):  
Kuang Jung Tseng
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Safety Evaluation ◽  
Decision Makers ◽  
Sensor System ◽  
Model Following ◽  
Proposed Model ◽  
Digital Recorder ◽  
Decision Making Model

This work presents group decision making model, following a university safety evaluation to demonstrate the effectiveness of the proposed model. Importantly, the proposed model can assist university decision makers to buy the feasibility of digital recorder sensor system, making it highly applicable for academic and commercial purposes.

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