Risk assessment on drug production safety based on Grey-Analytic Network Process

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiaojiao Ge ◽  
Benhong Peng ◽  
Guo Wei ◽  
Anxia Wan
Keyword(s):  
Risk Factors ◽  
Risk Evaluation ◽  
Risk Index ◽  
Analytic Network Process ◽  
Risk Level ◽  
Safety Risk ◽  
Content Type ◽  
Drug Production ◽  
Production Safety ◽  
Network Process

PurposeTo strengthen the correlation analysis on risk factors of drug production safety and reduce the influence due to fuzzy judgments, a safety risk assessment method based on Grey-Analytic Network Process (G-ANP) is proposed.Design/methodology/approachFirst, an index system evaluating drug production safety risk is constructed according to the “Good Manufacture Practice of Medical Products,” next the influence weight of each risk index is derived by using the Analytic Network Process, then the grey number of each risk index is determined by further utilizing the grey statistical theory, and finally the risk level of drug production is obtained.FindingsAn empirical study is conducted and the results support the feasibility and practicability to use G-ANP method for drug production safety risk evaluation. The results of the case show that it is feasible and practical to use G-ANP method for drug production safety risk evaluation.Originality/valueThe innovation lies in the use of G-ANP method to fully consider the interdependence and interaction between the risk factors of drug production safety, which improves the objectivity in judging the risk level of drug production and provides a scientific basis for pharmaceutical manufacturers to formulate further decisions and management in the case of insufficient quantification of risk factors. Based on the findings, more targeted suggestions are made to reduce the production risk of pharmaceutical enterprises.

scholarly journals Quality and Safety Risk Assessment of Prefabricated Construction

2021 ◽  
pp. 181-188
Author(s):  
Tian Li, Huijie Shang
Keyword(s):  
Risk Factors ◽  
Evaluation System ◽  
Risk Index ◽  
Reliability And Validity ◽  
Construction Safety ◽  
Risk Indicators ◽  
Risk Level ◽  
Housing Project ◽  
Safety Risk ◽  
Advantages And Disadvantages

This paper identifies the construction safety risk of prefabricated housing project. This paper uses the questionnaire data combined with TOPSIS method to obtain the attribute weight corresponding to each risk index and the square sum of the distance between positive ideal value and negative ideal value, which is used as the standard for ranking the advantages and disadvantages of risk indicators. Combined with entropy theory, this paper sorts and screens the risk factors, and constructs the risk index evaluation system. This paper analyzes the rationality of reliability and validity of the questionnaire to ensure the reliability of the questionnaire. In this paper, Bayesian network method is used to analyze the construction safety risk factors of prefabricated housing project. This paper uses the combination of risk matrix method and analytic hierarchy process (AHP) to evaluate the overall risk, get the risk level, and weigh whether to deal with the risk in combination with the risk acceptance principle. On this basis, this paper puts forward specific measures to deal with the construction safety risk of prefabricated housing project.

Schedule and cost overrun analysis for R&D projects using ANP and system dynamics

2017 ◽  
Vol 34 (9) ◽  
pp. 1551-1567 ◽  
Author(s):  
Sandeep Kumar ◽  
J.J. Thakkar
Keyword(s):  
System Dynamics ◽  
Risk Mitigation ◽  
Analytic Network Process ◽  
Raw Material ◽  
Design Stage ◽  
Economic Factors ◽  
Cost Overrun ◽  
Individual Factor ◽  
Content Type ◽  
Network Process

Purpose Schedule and cost overrun analysis for a typical research & development (R&D) project is necessary to identify and mitigate the non-feasible alternatives at the design stage. Typically, this should include an analysis of technological and economic factors of R&D project. This paper aims to discuss these issues. Design/methodology/approach This research proposes an integrated analytic network process (ANP) and reusable system dynamics (SD) model for a quick and strategically consistent decision making. The technological and economic factors of R&D project were first identified and compiled through a systematic literature review. An ANP model was first developed for calculating Risk Priority Index (RPI) for set of technological and economic factors. The computed RPI are considered as an input to SD models. Two SD models (technological and economic) are developed to undertake a detailed investigation on effect of individual factor on schedule and cost overrun. The approach is exemplified for a case of government R&D project in India. Findings ANP identifies “Testing & qualification facility” and “Raw material availability” as the highest RPI factors. A detailed sensitivity analysis of SD models suggests that technological factors such as “Design Changes,” “Hidden Activities,” and “Lack of Expertise” and economic factors such as “Project delays,” “Unexpected incidents” and “Conflicts” have the highest influence on schedule and cost overrun. Practical implications The outcomes of this research can help managers to estimate the severity of various technological and economic factors on cost and schedule overrun and develop an adequate risk mitigation contingency plan. Originality/value In case of R&D projects where systems are being developed for the first time, changes are inevitable, and hence schedule and cost management plays a very important role in its success. This paper proposes an integrated reusable approach of ANP and SD for analyzing the influence of technological and economic factors on schedule and cost overrun of R&D project.

Modeling brand resonance score (BRS) – an application in financial services

2018 ◽  
Vol 13 (1) ◽  
pp. 119-136 ◽  
Author(s):  
Ande Raja Ambedkar ◽  
Punniyamoorthy Murugesan ◽  
N. Thamaraiselvan
Keyword(s):  
Mutual Fund ◽  
Financial Services ◽  
Structural Equation ◽  
Analytic Network Process ◽  
Equation Modeling ◽  
Service Firms ◽  
Content Type ◽  
Fund Managers ◽  
Network Process ◽  
Brand Resonance

Purpose The experts in industry and academicians value brand resonance is the prerequisite factor in the firms of financial services. In this regard, the purpose of this paper is to model the brand resonance score (BRS) for modified customer-based brand equity (CBBE) model in mutual fund financial services using structural equation modeling (SEM) and analytic network process (ANP). Design/methodology/approach Criteria and sub-criteria relative weights are calculated from the SEM and sub-sub-criteria relative weights are measured through pair-wise comparison matrix for BRS modeling using ANP approach. Findings The brand resonance using ANP has been quantified, and BRSs of each brand through brand judgments and brand feelings criteria are calculated using two renowned Indian mutual fund services brands State Bank of India and Hong Kong and Shanghai Banking Corporation. Research limitations/implications Interdependency between sub-criteria are not explored. This research study is specific to Indian bank mutual fund services context. Practical implications Research findings provide useful guidelines for fund managers/analysts of mutual fund service firms to improve the brand resonance to investors. Originality/value The paper explained modeling BRS using ANP technique which helps organizations quantify the brand resonance effectively.

An analytic network process model for hospital facilities management performance evaluation

Facilities ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph H.K. Lai ◽  
Huiying (Cynthia) Hou ◽  
David J. Edwards ◽  
P.L. Yuen
Keyword(s):  
Performance Evaluation ◽  
Performance Indicators ◽  
Process Model ◽  
Evaluation Model ◽  
Analytic Network Process ◽  
Facilities Management ◽  
Focus Group Study ◽  
Content Type ◽  
Network Process

Purpose This study aims to establish a rigorous model that can pragmatically evaluate the facilities management (FM) performance of hospitals. Design/methodology/approach Among the applicable performance indicators that were identified from extant literature, a focus group study shortlisted ten key performance indicators (KPIs) in four categories (safety, physical, financial and environmental) and verified their practicality. Using the analytic network process (ANP) method to process the focus group’s responses yielded importance weightings for the KPIs and developed the intended evaluation model. This model was then validated by a case study. Findings From the empirical data collected, two types of FM performance data and two scenarios of KPI scores were identified. To process these data and scores, a robust calculation method was devised and then proved useful in obtaining an overall score for holistic hospital FM performance. The case study confirmed the appropriateness and validity of the model developed. Research limitations/implications Through illustrating how the ANP method could be applied to develop an FM performance evaluation model, the study contributes knowledge to the multi-criteria decision-making domain. Despite the geographical limitation of the model established (i.e. centered around a group of hospitals investigated in Hong Kong), the study can serve as a reference for developing performance evaluation models for other buildings or infrastructures globally. Practical implications The model constitutes a practical tool for evaluating the FM performance of hospitals. Using this model on a regular basis will enable performance benchmarking and hence, continuous improvement of FM services. Originality/value The ANP model established is the first of its kind tailored for evaluation of hospital FM performance.

Risk Evaluation in the Insurance Company Using REFII Model

2015 ◽  
pp. 748-768
Author(s):  
Goran Klepac
Keyword(s):  
Risk Factors ◽  
Data Mining ◽  
Time Series ◽  
Risk Evaluation ◽  
Time Series Data ◽  
Business Case ◽  
Risk Level ◽  
Insurance Company ◽  
Market Situation ◽  
Using Data

A business case describes a problem present in all insurance companies: portfolio risk evaluation. Such analysis deals with determining the risk level as well as main risk factors. In the specific case, an insurance company is faced with market share growth and profit decline. Discovered knowledge about the level of risk and main risk factors was not used to increase premium for the riskiest portfolio segments due to a specific market situation, which could lead to loss of clients in the long run. Instead, additional analysis was conducted using data mining methods resulting in a solution, which stopped further profit decline and lowered the risk level for the riskiest portfolio segments. The central role for the unexpected revealed knowledge in the chapter acts as the REFII model. The REFII model is an authorial mathematical model for time series data mining. The main purpose of that model is to automate time series analysis, through a unique transformation model of time series.

scholarly journals MEVA - a new method of occupational health and safety risk assessment

2019 ◽  
Vol 290 ◽  
pp. 12008
Author(s):  
Doru-Costin Darabont ◽  
Eduard Smîdu ◽  
Alina Trifu ◽  
Vicențiu Ciocîrlea ◽  
Iulian Ivan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Occupational Health ◽  
Deductive Reasoning ◽  
Health And Safety ◽  
Occupational Health And Safety ◽  
New Method ◽  
Risk Level ◽  
Simple Method ◽  
Safety Risk

The paper describes a new method of occupational health and safety risk assessment. This method, called MEVA, unlike the old ones, focuses more on reduce or eliminate subjective issues in determining the probability of manifestation of risk factors and is based on a deductive reasoning, with the help of which is studied the chain between two or more events. The novelty of the method consists in combining risk assessment techniques with evaluation of compliance with legal and other requirements, aiming to provide a more objective results of the risk assessment. In the MEVA method, the risk matrix is defined by 5 classes of severity and 5 probability classes, resulting in 5 levels of risk. After quantifying the risk factors, prevention measures are proposed for all the identified risk factors and each partial risk level is recalculated as a result of the proposed measures. The five levels of risk were grouped into three categories: acceptable, tolerable and unacceptable. The MEVA method is a simple method and it can be used for assessing various workplaces, with different characteristics of complexity, activity domain or occupational health and safety recordings.

Prioritizing the vaccine supply chain issues of developing countries using an integrated ISM-fuzzy ANP framework

2019 ◽  
Vol 15 (1) ◽  
pp. 112-165 ◽  
Author(s):  
Dheeraj Chandra ◽  
Dinesh Kumar
Keyword(s):  
Developing Countries ◽  
Supply Chain ◽  
Relevant Literature ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Vaccination Programs ◽  
Network Process ◽  
Key Issues

Purpose Delivering vaccines to the children who need them requires a supply chain that is efficient and effective. In most of the developing countries, however, the unknown and unresolved supply chain issues are causing inefficiencies in distributing vaccines. There is, therefore, a great need in such countries to recognize the issues that cause delays in vaccine delivery. With this purpose, the present study aims to identify and analyze the key issues in the supply chain of basic vaccines required to immunize children in developing countries. Design/methodology/approach Based on a field survey of three states of India, in-depth review of relevant literature and experts’ opinions, 25 key issues were recognized as factors of the vaccine supply chain (VSC) and categorized into five main domains. Using integrated interpretive structural modeling and fuzzy analytic network process approaches, the issues have been prioritized to determine their relative importance in the VSC. In addition, a sensitivity analysis has been performed to investigate the priority stability of the issues. Findings The results of the analysis show that among the five domains of VSC issues, the economic domain with a weight of 0.4262 is the most important domain, followed by the management (0.2672), operational (0.2222), environmental (0.0532) and social (0.0312). Research limitations/implications This study focuses on the prioritization of VSC issues; therefore, the results of the present study can provide direction to the decision-makers of immunization programs of developing countries in driving their efforts and resources on eliminating the most important obstacles to design successful vaccination programs. Originality/value To the authors’ knowledge, this paper is first to provide a direction to the decision-makers in identifying and managing important issues through the use of an analytical approach.

Employing fuzzy ANP for ranking the personality of international brands in the sports shoe industry

2018 ◽  
Vol 13 (1) ◽  
pp. 137-155 ◽  
Author(s):  
Javad Khazaei Pool ◽  
S. Mohammad Arabzad ◽  
Sobhan Asian ◽  
Milad Fahimi ◽  
Reza Verij Kazemi
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Competitive Advantages ◽  
Content Type ◽  
Shoe Industry ◽  
Sport Shoe ◽  
Network Process ◽  
Quantitative Basis

Purpose This paper aims to provide a quantitative basis to analytically determine the ranking of the brand personality of Adidas, Asics, Nike, Puma and Saucony brands among Iranian customers via a conventional multi-criteria decision-making (MCDM) method. Design/methodology/approach Data for determining the importance of evaluation criteria and ranking of brands are gathered by means of distributing questionnaires among a group of Iranian customers of sport shoes, as well as some industrial experts. The fuzzy analytic network process (FANP) was used to rank the brands with regard to dependencies between criteria and alternatives. Findings The results indicate that FANP is a capable method which provides invaluable insights for strategic marketing decisions in the sport product industry. Results show Adidas has the best performance in the sports shoe market compared to the other four brands. In this study, it was found that expertise sophistication was the most important criterion among Aaker’s five main criteria. Originality/value The value of this paper is applying FANP decision-making method for ranking sport shoe brands. This method has not been commonly used in the area of marketing, hence it is added to the pool of techniques used in ranking brands. In addition, evaluation and ranking of brands can be very useful for both academic research and practice. Researchers can benchmark the competences of each brand through evaluating them, and industrialists can extract the competitive advantages of the selected brands.

The distribution strategy selection for an e-tailer using a hybrid DANP VIKOR MCDM model

2019 ◽  
Vol 26 (2) ◽  
pp. 395-433 ◽  
Author(s):  
Rohit Titiyal ◽  
Sujoy Bhattacharya ◽  
Jitesh J. Thakkar
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Major Influence ◽  
Strategy Selection ◽  
Vikor Method ◽  
Content Type ◽  
Distribution Strategy ◽  
Network Process ◽  
Decision Making Framework ◽  
External Characteristics

Purpose The purpose of this paper is to apply a multi-criteria decision-making (MCDM) framework to evaluate distribution strategies for an e-tailer. An application of MCDM method, the hybrid DANP–VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) model, is used for e-tailers’ distribution strategy evaluation. The choice of distribution strategies under various dimensions is evaluated. Design/methodology/approach The authors used a hybrid MCDM model to solve the decision-making framework, which combines Decision-Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based analytic network process and VIKOR method. Data were collected from the experts (e-tail manager, logistics manager, operations manager and distribution center (DC) manager) using two questionnaires, first for the influential relationship among the criteria and dimensions and second for a performance rating of each alternative (distribution strategies) against each criterion. Findings DANP with VIKOR method prioritizes the distribution strategies in the following order: DC shipment, drop shipment, click and collect, store shipment and click and reserve. Performance gap was calculated based on the VIKOR method to provide distribution strategies to an e-tailer under different situations. The authors infer that in developing country, product characteristics and transportation have a major influence on deciding the distribution strategy. Practical implications Decision-making framework will provide e-tail mangers a knowledge-based understanding to select the distribution strategy under the different situations related to the performance, product, e-tailer and external characteristics for smooth order fulfillment process. The insights developed by this research provide a framework for rational decision making in distribution strategy selection in e-business. Originality/value This is the first kind of a study which offers a decision framework for e-tail managers on how to choose distribution strategies under different situations which are related to the performance, product, e-tailer and external characteristics.

scholarly journals A Markovian-QFD approach in addressing the changing priorities of the customer needs

2016 ◽  
Vol 33 (8) ◽  
pp. 1062-1075 ◽  
Author(s):  
Mehdi Rajabi Asadabadi
Keyword(s):  
Markov Chain ◽  
Markov Chains ◽  
Quality Function Deployment ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Customer Needs ◽  
Customer Preferences ◽  
Network Process ◽  
Qfd Method

PurposeThe purpose of this paper is to introduce a solution to the problem of changing priorities of customer needs (CNs) in quality function deployment (QFD). Customer preferences and priorities are not very stable and they may change before products are ready for the market. Therefore, finding CNs accurately is a key to reach a higher level of customer satisfaction through improving products. Design/methodology/approachIn the proposed model, a Markov chain is employed to model the changing priorities of CNs. The Markov chain finds a pattern of future CNs, the main inputs of QFD. The QFD method is applied to translate CNs into product requirements (PRs). The analytic network process (ANP) is attached to QFD to ensure that all the relations among the elements, inner and outer, are taken into consideration during the translation process. Thus, CNs are received and adjusted by a Markov chain. FindingsThe application of Markov chains for an ANP-QFD model develops an adequate method of finding a pattern of changing priorities of CNs. This pattern enables the ANP-QFD method to work independent of the initial CNs, and originates a Markovain ANP-QFD. Originality/valueThis study originates a stochastic ANP-QFD model. There have been several papers employing various tools and techniques such as the ANP or analytic hierarchy process for QFD to find accurate relations between PRs and CNs. While there are a few papers applying Markov chains to predict the future of the relations of QFD, there is no study which traces the changes in priorities of the CNs during the improvement process. This is addressed by applying a Markovian ANP-QFD. The model is validated through a case study.

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