scholarly journals Usable-Security Assessment of Healthcare Software System through Fuzzy ANP-TOPSIS Method

2021 ◽  
Vol 10 (4) ◽  
pp. 0-0
Keyword(s):  
Analytic Network Process ◽  
Software Systems ◽  
Software System ◽  
Security Assessment ◽  
Usable Security ◽  
Fuzzy Anp ◽  
Ideal Solutions ◽  
Network Process ◽  
Topsis Technique ◽  
Research Analysis

To address this research possibility, the present empirical study undertakes the assessment of usable-security of healthcare software system. The attributes considered for the assessment are: four factors at first level; thirteen sub-factors at the second level with six Hospital Management Software Systems (HMSS) as alternatives. Fuzzy Analytic Network Process (F-ANP) has been applied for evaluating the weights of the attributes and their relationship with one other. Finally, fuzzy Technique for Order of Preference by Similarity to Ideal Solutions (F-TOPSIS) technique has been applied and alternatives ranking has been estimated. Results of the study conclude that HMSS-1 provides better usable–security. Furthermore, as analysed, F-TOPSIS produced more convincing results in assessing the usable-security of the HMSS. This research analysis also corroborates that when compared with the Classical ANP TOPSIS, the Fuzzy-ANP TOPSIS is the ideal methodology for producing accurate results.

ANALISIS MANAJEMEN PERUBAHAN TERHADAP KINERJA ORGANISASI PADA PT SOLUSI BANGUN INDONESIA TBK

2021 ◽  
Vol 5 (1) ◽  
pp. 47-56
Author(s):  
Lingga Yuliana ◽  
Ida Trigani ◽  
Wulan Aditya Putri
Keyword(s):  
Change Management ◽  
Organizational Performance ◽  
Process Analysis ◽  
Sampling Technique ◽  
Analytic Network Process ◽  
Major Influence ◽  
Leadership Performance ◽  
Management Leadership ◽  
Network Process ◽  
Research Analysis

Abstract Cement is one of the building material commodities that has an important role in the smooth running of development, particularly in the construction sector. The purpose of this study was to find out how the influence of Change Management on Company Organizational Performance and to determine the Aspects of Organizational Performance and Organizational Performance which have a major influence based on the Analytic Network Process analysis. Respondents who were involved in the study were a research analysis and business owner with a material store business unit. The sampling technique used in this research was purposive sampling method. This research was a descriptive study and requires a model and analysis tools that are able to accommodatethe research. The analytical tool used in this research was the Analytic Network Process (ANP) method. With ANP, the study analyzed the value per cluster, the value of all nodes and the synthesis value of the change management cluster. The results showed that change management has an impact on organizational performance. In change management, leadership performance is one of the six dimensions that provide the most important impact and get the highest value. Whereas in organizational performance, task performance gets the highest score. Keywords: Change Management, Organizational Performance, Analytic Network Process

Integration of SWOT analysis with hybrid modified TOPSIS for the lean strategy evaluation

2016 ◽  
Vol 232 (7) ◽  
pp. 1295-1309 ◽  
Author(s):  
Suresh Prasad ◽  
Dinesh Khanduja ◽  
Surrender K Sharma
Keyword(s):  
Decision Making ◽  
Swot Analysis ◽  
Multiple Criteria Decision Making ◽  
Evaluation Process ◽  
Analytic Network Process ◽  
Foundry Industry ◽  
Strategy Evaluation ◽  
Network Process ◽  
Modified Topsis ◽  
Topsis Technique

This article deals with the lean strategy evaluation process using SWOT (strengths, weaknesses, opportunities and threats) analysis aimed at identifying lean strategies and providing an initial decision framework. It involves specifying the objective of the industry and identification of internal and external factors and its sub-factors and lean strategies, which are either favourable or unfavourable in the accomplishment of the stated objective. However, the SWOT analysis method does not provide an analytical method to evaluate the priorities of identified decisive strategic factors. To overcome this limitation, this article presents a case study in an Indian foundry industry using two multiple criteria decision-making methods, that is, analytic network process and modified TOPSIS (technique for order of preference by similarity to ideal solution), to provide a computable basis in determining the rank of lean strategies. In this approach, the analytic network process is used to calculate the priorities of identified SWOT factors and sub-factors and the modified TOPSIS is applied to rank the lean strategies. A sensitivity analysis is also provided to illustrate how ‘sensitive’ the proposed model is to changes in the priorities of SWOT factors. The results show that the quantitative SWOT analysis–based approach is a feasible and exceedingly capable method that provides vital sensitivity in evaluating the priorities of lean strategies for an Indian foundry industry and can also be employed as an effective method for many other complex decision-making processes.

scholarly journals Determining the Degree of Characteristics for Internet of Healthcare Devices Using Fuzzy ANP

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Lin Wen
Keyword(s):  
Health Sector ◽  
Analytic Network Process ◽  
Care Quality ◽  
Fuzzy Anp ◽  
Heterogeneous Devices ◽  
Network Process ◽  
Iot Devices ◽  
And Control

With the revolution in Internet and digital technology, every organization is adopting digital things to carry out their day-to-day activities. Internet of Things (IoT) is a concept that is used to connect various devices over the Internet to increase the production and quality of service, deliver a huge amount of data in seconds, and automate the processes. IoT implementation in the health sector has changed the typical setup into smart and intelligent setup. With the “smart” and “Intelligent” abilities of IoT devices such as sensors and with the collaboration of humans and computers, physical processes can be monitored and, based on the received data, optimal decisions can ultimately be taken. IoT applications in healthcare will increase flexibility, patient’s care, quality of health, and control of diseases. As the IoT combines various heterogeneous devices and the inappropriate determination of the degree of characteristics for Internet of healthcare (IoH) devices may affect the efficiency of services, this research is carried out with the use of decision support system and application of fuzzy analytic network process (fuzzy ANP) was used for optimal determination of the degree of characteristics for IoH devices based on unique properties which would greatly increase the efficiency of industry. The experimental results are efficient and show the usefulness of the approach.

scholarly journals DECISION SUPPORT SYSTEM FOR SMARTPHONE RECOMMENDATION: THE COMPARISON OF FUZZY AHP AND FUZZY ANP IN MULTI-ATTRIBUTE DECISION MAKING

SINERGI ◽  
2020 ◽  
Vol 25 (1) ◽  
pp. 101
Author(s):  
Okfalisa Okfalisa ◽  
Hidayati Rusnedy ◽  
Dwi Utari Iswavigra ◽  
B. Pranggono ◽  
Elin Haerani Haerani ◽  
...  
Keyword(s):  
Decision Making ◽  
Execution Time ◽  
Fuzzy Ahp ◽  
Random Access ◽  
Analytic Network Process ◽  
Application Development ◽  
Fuzzy Anp ◽  
Expert Opinions ◽  
Network Process ◽  
Multi Attribute Decision Making

Previous researches outlined the advantages of the Analytical Hierarchy Process (AHP) and Analytic Network Process (ANP) methods in solving Multi-Attribute Decision Making (MADM) problems. The advancement of the above methods was continually developed as an effort to cover up various weaknesses. Mainly related to the consistency and linguistic variables in translating the expert opinions. Thus, it initialized the emergence of Fuzzy AHP (F-AHP) and Fuzzy ANP (F-ANP). Due to the restricted operation of these algorithms in smartphone selection, this research attempted to investigate the effectiveness of both methods in providing the analysis of criteria weight, the final recommendation weight, the product recommendation weight, and the execution time in DSS-SmartPhoneRec application development. A survey of one hundred respondents of University students identified the dominant criteria in selecting the smartphone, namely price, Random Access Memory (RAM), processor, internal memory, and camera. Hence, five alternative products were then chosen as the appropriate smartphones’ recommendations based on the respondent’s preferences.  As an automatic tool, a DSS-SmartPhoneRec application was built to analyze and compare between F-AHP and F-ANP methods in resolving the smartphone selection cases. It revealed that the level of consistency of criteria weight, the final weight of recommendation, and the weight that the product-based F-ANP was 40% greater than F-AHP. In terms of execution time, F-AHP had a shorter time than F-ANP. Meanwhile, the comparison of products recommendation from DSS-SmartPhoneRec and a manual test showed that F-ANP was 16% more in line with the respondents’ predilection. In a nutshell, the DSS-SmartPhoneRec administered the devote smartphone recommendations based on the user’s expectation. The comparison analysis furnished a learning outcome for the users in determining the appropriate MADM method tailored to the type of cases.

scholarly journals Integration of Lean Approach with Energy Efficiency: Application in Kitchenware Manufacturing Company

2020 ◽  
Vol 5 (6) ◽  
pp. 1128-1139
Author(s):  
Muhittin Sagnak ◽  
Erhan Ada ◽  
Yigit Kazancoglu ◽  
Atul Mishra
Keyword(s):  
Energy Efficiency ◽  
21St Century ◽  
Analytic Network Process ◽  
Lean Management ◽  
Fuzzy Anp ◽  
Manufacturing Operations ◽  
Manufacturing Company ◽  
Network Process ◽  
Fuzzy Analytic Network Process

Energy efficiency in the industries is one of the leading problems of the 21st century. The main aim for the companies to deal with the energy efficiency paradigm is to save the resources in the manufacturing operations. Manufacturing opera-tions involve activities that creates wastes in any case; therefore, these wastes should be eliminated, or minimized as much as possible. In this paper, it is aimed to integrate the energy efficiency term with lean management principles. The barriers and the drivers of the energy efficiency was discussed, and the 8 wastes within lean perspective were translated into ener-gy counterparts. 8 wastes of lean approach were defined as energy efficiency perspective, and used as criteria. The study will reveal the important criteria using Fuzzy Analytic Network Process (Fuzzy ANP) method to make implications about how to eliminate these wastes.

Measuring the influence values of lean criteria on leanness

2020 ◽  
Vol 31 (7) ◽  
pp. 1391-1416
Author(s):  
Esra Kurt Tekez ◽  
Gökhan Taşdeviren
Keyword(s):  
Real Life ◽  
Analytic Network Process ◽  
Service Organizations ◽  
Quality Cost ◽  
Content Type ◽  
Fuzzy Anp ◽  
Manufacturing Enterprises ◽  
Network Process ◽  
Performance Dimensions ◽  
The Impact

PurposeThe purpose of this paper is to evaluate the impact of lean criteria on leanness as well as prioritize them, taking the relationships between dimensions into consideration for manufacturing enterprises.Design/methodology/approachThis study considers leanness over quality, cost, delivery and innovation (QCDI) performance dimensions. Twenty eight criteria related with these dimensions were determined that are focused on manufacturing organizations and then fuzzy analytic network process (ANP) approach was used to determine the influence value of each criterion on leanness.FindingsThe existing literature shows a lack of studies on systematically measuring the impact of lean criteria on leanness. To fill the gap, this paper presents a fuzzy ANP approach. Firstly interactions between the performance dimensions were configured. Then, according to the relationship, weights were obtained while taking the network structure that allows dynamic multidirectional relationships for interdependencies among performance dimensions into consideration. This provides a more accurate approach for determining the impact value on leanness performance in real-life decision-making environments.Research limitations/implicationsThe limitation of this study is that only manufacturing enterprises have been considered. Different criteria may need to be developed for service organizations.Practical implicationsThis study gives a real insight to lean practitioners in the manufacturing system. Due to the fact it is difficult to achieve all the criteria at the same time for a company, this study is significant for manufacturers, indicating which criteria should primarily be focused on in order to achieve leanness.Originality/valueApplying fuzzy ANP on interrelated QCDI performance dimensions to evaluate the impact of lean criteria on leanness is the novelty of this study in the related literature. The fuzzy ANP approach is thought to be a more suitable approach to obtain more realistic and accurate results with the power to cope with ambiguity. This study provides a systematic measurement of the influence of lean criteria, also considering interdependencies between performance dimensions. Another contribution of this study is adding innovation to the performance dimensions that are commonly known as quality, cost and delivery to assess leanness in a comprehensive manner.

scholarly journals Software Security Estimation Using the Hybrid Fuzzy ANP-TOPSIS Approach: Design Tactics Perspective

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 598 ◽  
Author(s):  
Alka Agrawal ◽  
Adil Hussain Seh ◽  
Abdullah Baz ◽  
Hosam Alhakami ◽  
Wajdi Alhakami ◽  
...  
Keyword(s):  
Decision Making ◽  
Software Security ◽  
Analytic Network Process ◽  
Software Systems ◽  
It Industry ◽  
Software Vulnerabilities ◽  
Security Issues ◽  
Software Products ◽  
Network Process ◽  
Topsis Approach

Increasing the number of threats against software vulnerabilities and rapidly growing data breaches have become a key concern for both the IT industry and stakeholders. Developing secure software systems when there is a high demand for software products from individuals as well as the organizations is in itself a big challenge for the designers and developers. Meanwhile, adopting traditional and informal learnings to address security issues of software products has made it easier for cyber-criminals to expose software vulnerabilities. Hence, it is imperative for the security practitioners to employ a symmetric mechanism so as to achieve the desired level of software security. In this context, a decision-making approach is the most symmetrical technique to assess the security of software in security tactics perspective. Since the security tactics directly address the quality attribute concerns, this symmetric approach will be highly effective in making the software systems more secure. In this study, the authors have selected three main attributes and fifteen sub-attributes at level 1 and level 2, respectively, with ten different software of an institute as alternatives. Furthermore, this study uses a fuzzy-based symmetrical decision-making approach to assess the security of software with respect to tactics. Fuzzy Analytic Network Process (F-ANP) is applied to evaluate the weights of criteria and fuzzy-Symmetrical technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to determine impact of alternatives. The proposed symmetrical assessment in this study will be beneficial for both the designers and developers to categorize and prioritize the security attributes and understand the importance of security tactics during software development life cycle.

scholarly journals A Fuzzy Analytic Network Process for Security Risk Assessment of Web based Hospital Management System

2019 ◽  
Vol 9 (1) ◽  
pp. 691-695
Keyword(s):  
Management System ◽  
Hospital Management ◽  
Analytic Network Process ◽  
Progressive Increase ◽  
Security Assessment ◽  
Security Risk ◽  
Security Issues ◽  
Software Applications ◽  
Network Process ◽  
Hospital Management System

Software applications have revolutionized human lives. As healthcare industry becomes digitalized, more and more hospitals are now dependent on effective and user-friendly software applications for efficacious management. However, this progressive increase in the use of software applications has led to several security issues. Security risk has probably become the biggest and most sensitive concern in this era for hospital management systems. Assessment of security risk may help in acquiring the level of security that the end user wants. Security assessment needs identification and prioritization of its attributes for publishing guidelines to maintain that level, as security risk is a multidimensional problem. This study has used the Fuzzy ANP methodology to solve this multi criteria based problem. This work also emphasizes on increasing security by assessing the security risk in hospital management system. A real time case study of hospital management system has also been used for validating the results. The acquired results will help in mapping the guidelines and developing new mechanism as per the high prioritized attributes of security risk.

scholarly journals A Fuzzy ANP-QFD Methodology for Determining Stakeholders in Product-Service Systems Development from Ecosystem Perspective

2020 ◽  
Vol 12 (8) ◽  
pp. 3329
Author(s):  
Dao Yin ◽  
Xinguo Ming ◽  
Zhiwen Liu ◽  
Xianyu Zhang
Keyword(s):  
Quality Function Deployment ◽  
Analytic Network Process ◽  
Illustrative Case ◽  
Ecosystem Structure ◽  
Fuzzy Anp ◽  
Product Service ◽  
Network Process ◽  
Individual Actor ◽  
Illustrative Case Study ◽  
The Relationship

Recently the competition between firms is transforming from “firm vs. firm” to “ecosystem vs. ecosystem”. To fulfil the personalized customer requirements for a high-quality product-service in the age of servitization and sustainability, it is difficult for an individual actor to realize it. The product-service system (PSS) is naturally an integration of product and service. The final product-service of PSS that depends on a tangible product and intangible service, calls for value co-creation of multi-stakeholders. However, most existing related works have investigated PSS from the perspective of a supply chain or network, PSS in the view of an ecosystem of multi-stakeholders lacks sufficient exploration, especially the topic on the relationship between product-service and stakeholders. To fill the gap, this paper proposed a framework for the PSS ecosystem with quality function deployment (QFD) and fuzzy analytic network process (fuzzy ANP) to determine the stakeholders by clarifying the relationship between the final integrated product-service and stakeholders. Firstly, the PSS ecosystem structure was presented, including the stakeholders. Secondly, a model with the three-stage fuzzy ANP-QFD approach to determine stakeholders was employed. Thirdly, the specific process of the three-stage approach was presented. An illustrative case study of the automobile aftermarket was presented to verify the proposed model and approach. Discussions and future directions concluded this paper.

Application of Fuzzy Analytic Network Process and Fuzzy TOPSIS to the Undesirable Location Selection Problem

2010 ◽  
pp. 208-231 ◽  
Author(s):  
Semih Önüt ◽  
Selin Soner Kara ◽  
Derya Tekin
Keyword(s):  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Analytic Network Process ◽  
Location Selection ◽  
Facility Locations ◽  
Selection Problems ◽  
Network Process ◽  
Topsis Technique ◽  
Fuzzy Analytic Network Process

In this chapter, a combined fuzzy multiple criteria decision making (MCDM) methodology for supporting the undesirable location selection process is presented. The undesirable location selection process is formulated by using the fuzzy analytic network process (FANP), one of MCDM methods, which is used to evaluate the most suitable alternatives of undesirable facility locations. Then, the fuzzy TOPSIS (technique for order performance by similarity to ideal solution) is used to rank competing locations in terms of overall performances. Since different alternatives and various quantitative, qualitative, tangible, and intangible criteria should be considered in the selection process, fuzzy MCDM methods have been found to be a useful approach to solve this kind of location selection problems including vagueness and imprecision in the human judgments.

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