scholarly journals Application of a Fuzzy Decision Model to the Design of a Pillbox for Medical Treatment of Chronic Diseases

2019 ◽  
Vol 9 (22) ◽  
pp. 4909 ◽  
Author(s):  
Hsin-Hung Lin
Keyword(s):  
Chronic Diseases ◽  
Evaluation Model ◽  
Medical Systems ◽  
Analytic Hierarchy ◽  
Package Design ◽  
Fuzzy Decision Model ◽  
The Right ◽  
Hierarchy Process

It is critical for medical systems to reduce waste from medical resources. One of the reasons why patients with chronic diseases create waste is that they often forget to take their medicine. Patients pay attention to the time and amount of medicine to take to different degrees. This negligence often affects when they take medicine or preventive drugs. The amount of medicine is also different for different patients. The evaluation model in this study utilizes the fuzzy analytic hierarchy process (FAHP) to obtain the degree (weight) of each evaluation item that is determined by each patient. After that, a more objective overall shape can be determined depending on the individual’s preference. In this study, the proposed package design serves as the case study. The results indicate that the evaluation model is feasible, and the research results of the case study are also valuable for follow-up designers. The design of a pillbox for patients with chronic diseases should consider the safety of taking the medicine; that is, the right person should take the right medicine at the right time at the right dose. Therefore, evaluating the feasibility of the pillbox for patients with chronic diseases is very important. The proposed evaluation model applies to products that have different compositions. Follow-up researchers or designers can apply this approach to different case designs.

scholarly journals SENSIBILIDADE DO MODELO DE FRAGILIDADES AMBIENTAIS À PONDERAÇÃO MULTICRITERIAL: ASPECTOS FÍSICOS DA BACIA HIDROGRÁFICA DO ALTO URUGUAI

FLORESTA ◽  
2014 ◽  
Vol 44 (3) ◽  
pp. 535
Author(s):  
Damáris Gonçalves Padilha ◽  
Mario Luiz Trevisan ◽  
Jussara Cabral Cruz
Keyword(s):  
Analytic Hierarchy Process ◽  
Environmental Assessment ◽  
Multidisciplinary Team ◽  
Evaluation Model ◽  
Evaluation Process ◽  
Analytic Hierarchy ◽  
Local Characteristics ◽  
Definition Of ◽  
Hierarchy Process

Modelos de fragilidades ambientais compreendem, de maneira geral, a avaliação de n aspectos (ou fatores) relativos às características locais, usualmente tratadas por técnicos de diferentes áreas constituintes de uma equipe multidisciplinar. Porém a definição dos n aspectos por parte da equipe nem sempre acontece de forma unânime, não raro ocorrendo, no início do processo de avaliação, dúvidas sobre o quanto realmente cada aspecto ou fator (indicador) apresenta-se significativo dentro do modelo de avaliação. Como estudo de caso, foi realizada a sensibilidade das ponderações dos fatores que compõem o método multicriterial AHP (Analytic Hierarchy Process), aplicado na região da bacia hidrográfica do Alto Uruguai. A metodologia consistiu na ponderação sistemática de cada fator constituinte do modelo para posterior consideração quanto a sua influência em relação ao conjunto dos fatores, proporcionando uma avaliação quanto a sua eficácia na identificação de pesos dos fatores em cenários que mostram maior discriminância no conjunto, além de apresentar alternativas na composição dos pesos. Assim, a partir dos resultados da análise, configura-se a importância da realização do estudo da sensibilidade em modelos de fragilidade ambiental aplicados à bacia hidrográfica.Palavras-chave: Análise de sensibilidade; avaliação ambiental; multicritério. AbstractSensitiveness of model to environmental fragilities to multicriterial weighting: physical aspects of watershed of the Alto Uruguay. Environmental fragilities models comprise, generally, the evaluation of n criteria (or factors) on local characteristics, usually handled by technicians from different areas in a multidisciplinary team. However, definition of n aspects by team does not always happen unanimously, often occurring early in the evaluation process doubts whether every aspect or indicator is in fact significant within the evaluation model. As a case study, it was performed the sensitivity of weighting factors that comprising the multicriterial method AHP (Analytic Hierarchy Process) applied to the basin of the Alto Uruguay region. After evaluating the multicriterial method, we applied the sensitiveness analysis to improve the weighting process. Therefore, from the results of this analysis, it sets up the importance of the study of sensitiveness of environmental fragility models for the watershed better understanding.Keywords: Sensitiveness analysis; environmental assessment; multicriterial weighting.

scholarly journals UTILITY-BASED MULTICRITERIA MODEL FOR EVALUATING BOT PROJECTS SEP PROJEKTŲ VERTINIMO MODELIS PAGRĮSTAS DAUGIAKRITERINE NAUDINGUMO TEORIJA / SEP PROJEKTŲ VERTINIMO MODELIS PAGRĮSTAS DAUGIAKRITERINE NAUDINGUMO TEORIJA

2011 ◽  
Vol 17 (2) ◽  
pp. 207-218 ◽  
Author(s):  
Min-Ren Yan ◽  
Cheng-Sheng Pong ◽  
Wei Lo
Keyword(s):  
Evaluation Model ◽  
Objective Evaluation ◽  
Capital Investments ◽  
Analytic Hierarchy ◽  
Limited Government ◽  
Proposed Model ◽  
Multicriteria Model ◽  
Economic Developments ◽  
Hierarchy Process

Owing to the urgent demands for new developments and maintenances of the existing infrastructures under limited government budget and time, increasing BOT (build-operate-transfer) projects have been a significant factor affecting the economic developments in many countries. However, as BOT projects usually induce huge capital investments, government sectors must prudently evaluate the project feasibility from both financial and nonfinancial aspects before the implementation. Therefore, how to establish an objective evaluation model which can comprehensively assess the feasibility of each BOT project and determine the priority of its implementation has become an important issue. This study incorporates analytic hierarchy process (AHP) and utility theory to develop a utility-based multicriteria model for supporting the selection of BOT projects. A case study is provided to demonstrate that the implementation of the proposed model can effectively help decision-making teams participate in economical evaluations so that the feasibility of as-planed BOT projects can be determined and project priority can be set efficiently and consistently. Santrauka Dėl esamos infrastruktūros plėtros ir atnaujinimo būtinybės, esant ribotam valstybės biudžetui ir laikui, SEP (Statyba-Eksploatacija-Perdavimas) projektų vykdymas ženkliai prisidėjo prie daugelio šalių ekonominių pokyčių. Dažnai SEP projektai reikalauja didelių kapitalo investicijų, todėl valstybės sektorius turi įvertinti projekto įgyvendinimo galimybes tiek finansiniu tiek nefinansiu aspektu. Koks turi būti objektyvaus vertinimo modelis, kuris leistų visapusiškai įvertinti kiekvieno SEP projeto pagrįstumą ir nustatyti jo įgyvendinimo prioritetus? Šiame straipsnyje, naudojant analitinę hierarchinio proceso (AHP) struktūrą ir naudingumo teoriją, SEP projektų atrinkimui sukurtas daugiakriterine naudingumo teorija pagrįstas modelis. Skaitmeninis pavyzdys įrodo, kad siūlomas modelis gali sėkmingai pagelbėti atrenkant ekonomiškai efektyvius SEP projektus.

scholarly journals Selecting Cloud Deployment Model Using a Delphi Analytic Hierarchy Process (DAHP)

2015 ◽  
Vol 3 (1) ◽  
pp. 59-70
Author(s):  
James Ngeru ◽  
Tridip Kumar Bardhan
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Service Providers ◽  
Low Cost ◽  
Cloud Services ◽  
Analytic Hierarchy ◽  
Business Needs ◽  
The Right ◽  
Hierarchy Process

Cloud computing is a significant paradigm shift in information technology (IT) service offerings that has been receiving enormous attention in academic and IT industry. Recent years has seen exponential growth in cloud use adoption, where many organizations are moving their IT resources into cloud due to flexibility and low-cost. However, on account of rapid innovation and growth in cloud technologies and service providers, selecting the right cloud services, provider and strategy is becoming increasing a common challenge to organization during cloud adoption. In an attempt to address this challenge, we propose application of Delphi Analytic Hierarchy Process (DAHP) method in selecting cloud deployment model. There are several cloud deployment models and organizations must identify the right model that best suits their business needs. The proposed approach facilitates a collaborative decision making process, consisting a number of decision makers whom, with consensus facilitated by the DAHP process, identifies feasible approaches, decision making factors and ultimate selection of a cloud deployment model alternative that is based on organizational business needs and capabilities. The DAHP process is illustrated by a means of a case study. The DAHP result analysis, as was illustrated in the case study, helps in explaining and justifying the choice selected as the best cloud deployment model.

scholarly journals A MULTI-CRITERIA DECISION ANALYSIS APPROACH TO PALLET SELECTION: DEVELOPMENT OF A MATERIAL-OF-CONSTRUCTION EVALUATION MODEL

2021 ◽  
Vol 32 (2) ◽  
Author(s):  
Chama Chama ◽  
Kevin Harding ◽  
Jean Mulopo ◽  
Paul Chego
Keyword(s):  
Composite Materials ◽  
Decision Model ◽  
State Of The Art ◽  
Evaluation Model ◽  
Transportation Industry ◽  
Analytic Hierarchy ◽  
Independent Case ◽  
Hierarchy Process ◽  
And Storage

Although pallets have traditionally been constructed from wood, there has been a shift towards making them from plastic and other composite materials. Subsequently, the storage and transportation industry has been inundated with questions about ‘the best’ pallet material type in relation to a supply chain. In addition, in a rapidly changing global manufacturing and storage environment, industry players have difficulty justifying the high capital cost of adopting new state-of-the-art pallets. This paper seeks to build a model to identify the best pallet material-of-construction (MOC) as perceived by the end consumer. The approach used for this was based on different stages of building an assistive multi-criteria decision model. This included modelling the decision framework using the analytic hierarchy process and undertaking an independent case study as the baseline for the modelling.

scholarly journals A three-system approach that integrates DEA, BSC, and AHP for museum evaluation

2020 ◽  
Vol 43 (2) ◽  
pp. 413-441
Author(s):  
Antonella Basso ◽  
Stefania Funari
Keyword(s):  
Balanced Scorecard ◽  
Performance Indicator ◽  
Evaluation Model ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Second Stage ◽  
Performance Evaluation Model ◽  
Museum Evaluation ◽  
Hierarchy Process

AbstractThis paper proposes to measure the museums performance with a model that combines the Data Envelopment Analysis (DEA) and Balanced Scorecard (BSC) methodologies with a third method, the analytic hierarchy process (AHP), which is often used to support decision making. Starting from the two-stage DEA–BSC model of Basso et al. (Omega Int J Manag Sci 81:67–84, 2018), which integrates DEA and BSC, we explore the advantages to consider also the AHP methodology, with the aim to include the judgement of some museums’ experts on the relative importance of the BSC perspectives in the performance evaluation model. A first approach uses directly the AHP priorities derived from the judgements expressed by the museums’ experts interviewed to determine the weights to aggregate the four BSC performance scores into an overall performance indicator. A second approach uses the judgments of the museums’ experts indirectly to introduce proper restrictions on the output weights of the second-stage DEA model. With this approach, we overcome the problem arising from the dispersion of the preferences within the group of experts, that may heavily affects the first approach. Both approaches proposed in this contribution are applied to the case study of the municipal museums of Venice.

Water abundance analysis of aquifer in coal roof based on grey relational analysis and analytic hierarchy process

2016 ◽  
Vol 11 (2) ◽  
pp. 487-494
Author(s):  
Li Bo
Keyword(s):  
Analytic Hierarchy Process ◽  
Grey Relational Analysis ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Water Abundance ◽  
Relational Analysis ◽  
Major Factors ◽  
Grey Relational ◽  
Hierarchy Process

As water abundance of aquifer of coal roof significantly influences roof water hazard, evaluating and grading the degree of water abundance are important in practical application. By analyzing the influencing factors of water abundance of aquifer, an evaluation index system and a grading standard for the water abundance were established integrating quantitative and qualitative indexes. Meanwhile, according to the grey relation characteristics of the major factors influencing water abundance, a multi-factor evaluation model for water abundance was constructed based on grey relational analysis and analytic hierarchy process. The model can objectively reveal the influences of the multiple factors on the evaluation of water abundance. Furthermore, the method was verified by comprehensively evaluating the water abundance of the aquifer of coal roof in a working face of Pingshuo Coal Mine in Shanxi, China using the model. The method provides basis for the research on the evaluation of water abundance of aquifer in coal roof.

Developing human resource for the digitization of logistics operations: readiness index framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anchal Gupta ◽  
Rajesh Kr Singh ◽  
Shivam Gupta
Keyword(s):  
Fuzzy Ahp ◽  
Organizational Factors ◽  
Organization Culture ◽  
Management Support ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Top Management Support ◽  
Logistics Company ◽  
The Right ◽  
Hierarchy Process

PurposeThe purpose of this study is to identify factors that are important for logistics organizations from the perspective of manpower readiness for digitization of logistics operations. The study also prioritizes the identified factors and also evaluates the readiness index of manpower for the digitalization of logistics processes.Design/methodology/approachThe factors for manpower readiness are identified through literature review and analysis of a case study. Three major categories of factors are identified. These are organizational, behavioural and technological factors. Under these three major categories of factors, 18 sub-factors are identified. Thereafter, with experts' inputs, the factors are prioritized using Fuzzy analytic hierarchy process (AHP). Further, a case illustration of an Indian logistics company has been taken to understand the current processes, technical capabilities, manpower skills and organization culture. After the case analysis and expert inputs, the manpower readiness index has been evaluated by using graph theory matrix approach (GTMA).FindingsThe prioritization of manpower readiness factors has been done using Fuzzy AHP. Organizational factors are found to be the most important factors which require quick attention. Sub-factors that are most important for building competencies in the logistics sector are providing the right training on functional skill development (0.129), top management support and commitment for digitalization (0.117), and organizational culture for process digitalization (0.114), etc. Finally, framework for evaluation of manpower readiness index for logistics operations in the digital age has been illustrated for a case company.Practical implicationsIndian logistics companies can benchmark their readiness index with respect to the best in the industry. Based on the readiness index, logistics companies can analyse their position, gaps from best and worst and can also identify potential areas for improvement.Originality/valueThe novelty of the study lies in the development of a framework for manpower readiness for digitalization in the logistics sector. In literature, this field is very less researched and provides the scope for developing strategies for improving manpower competencies for Industry 4.0. Logistics companies can improve their performance by making their manpower ready based on results obtained for readiness index.

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