Study on Conversion of Customer Needs in Product Development

2010 ◽  
Vol 102-104 ◽  
pp. 801-806
Author(s):  
Fu Hong Zeng ◽  
Lan Hua Zhou
Keyword(s):  
Decision Making ◽  
Programming Model ◽  
House Of Quality ◽  
Specific Product ◽  
Customer Needs ◽  
Resource Limitations ◽  
Technical Requirements ◽  
Target Values ◽  
Multi Attribute Decision Making ◽  
The Right

In order to translate the Customer Needs (CN) for the specific product into the right Technical Requirements (TR), the structure of conventional House of Quality (HOQ) is modified to have HOQ fit in with the needs of multi-attribute decision-making. Then, an Objective Programming Model (OPM) based on HOQ is constructed, which fully considers the design team's experience, and the interdependence between CN and TR, and the inner-dependences within themselves, along with resource limitations, and multi-objective nature of the problem. The target values of TR are obtained by solving the OPM using MATLAB, which can fully meet the CN. Finally an example is given, and the OPM is proved to be reasonable and effective.

Method for Fuzzy Multi-Attribute Decision-Making with Fuzzy Reciprocal Preference Relation on Alternatives under Partical Weight Information

2011 ◽  
Vol 58-60 ◽  
pp. 869-874
Author(s):  
Hong An Zhou
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Programming Model ◽  
Preference Relation ◽  
Triangular Fuzzy Numbers ◽  
Attribute Weights ◽  
Translation Function ◽  
Goal Programming Model ◽  
Subjective Preference ◽  
Multi Attribute Decision Making

The fuzzy multi-attribute decision-making (FMADM) problems, in which the information about attribute weights is partly known, the attribute values take the form of triangular fuzzy numbers, and the decision maker (DM) has fuzzy reciprocal preference relation on alternatives, are investigated. Firstly, some concepts, such as the multiply between two triangular fuzzy numbers, the projection of triangular fuzzy numbers vectors, etc, are given. Secondly, in order to reflect to the DM’s subjective preference information on alternatives, we make the objective decision information uniform by using a translation function and establish a goal programming model, and then the attribute weights is obtained by solving the model, thus the weighted attribute values of all alternatives are gained. The concept of fuzzy positive ideal solution (FPIS) of alternatives is introduced, and the alternatives are ranked by using the projection of the weighted attribute values of every alternative on FPIS. The method not only can sufficiently utilize the objective information and meet the DM’s subjective preferences on alternatives as much as possible, but also it is characterized by simple operation and easy to implement on a computer. Finally, a practical example is illustrated to show the feasibility and availability of the developed method.

A Novel Fuzzy Integrated Customer Needs Prioritization Software Tool for Effective Design of Online Shopping Websites

2017 ◽  
Vol 8 (4) ◽  
pp. 23-42
Author(s):  
Ashish K. Sharma ◽  
Sunanda Khandait
Keyword(s):  
Decision Making ◽  
Quality Function Deployment ◽  
Online Shopping ◽  
Real Life ◽  
Software Tool ◽  
Visual Basic ◽  
Website Design ◽  
Customer Needs ◽  
Technical Requirements ◽  
Effective Design

Albeit, online shopping has grown much recently, users' rate of satisfaction has declined due to the ineffective design of online shopping websites. Thus, the companies involved are craving for well-designed websites. Effective website design involves decision making and thus this paper considers Quality Function Deployment (QFD) as it is a strong decision-making tool. However, QFD uses crisp scoring approach that generates uncertainty and vagueness resulting in impreciseness and inconsistency in results. The issue can be addressed using fuzzy integration. QFD involves prioritization of Customer Needs (CNs) and Technical Requirements (TRs). However, the paper focuses on only CNs prioritization. Also, the existing software's lack the indispensable fuzzy support feature to handle the uncertainty and vagueness. Thus, the paper presents a novel fuzzy integrated customer needs prioritization software tool. The tool is built using Visual Basic Dot Net (VB.Net) and MS-Access. A real-life example is presented to demonstrate the viability of the software tool.

The novel entropy measurements of Z+-numbers and their application on multi-attribute decision making problem

2021 ◽  
Vol 40 (1) ◽  
pp. 131-148
Author(s):  
Min-Chao Wu ◽  
Jun-Jun Mao ◽  
Ai-Ting Yao ◽  
Tao Wu
Keyword(s):  
Decision Making ◽  
Programming Model ◽  
Weight Vector ◽  
Cross Entropy ◽  
The Novel ◽  
Probability Models ◽  
Decision Making Problem ◽  
Promethee Method ◽  
Multi Attribute Decision Making ◽  
Cut Set

Z+-numbers, which carry more information than Z-numbers, are studied in this paper. Based on existed models, two more scientific and reasonable probability models of Z+-numbers are developed. In order to utilize Z+-numbers to solve practical problems, the α-cut set of Z+-numbers and corresponding utility function are proposed. Meanwhile, according to the structure of Z+-numbers, the entropy, cross-entropy and comprehensive cross-entropy are introduced to measure the uncertainty and fuzziness of Z+-numbers information. Furthermore, a linear programming model based on proposed three kinds of entropy is designed to obtain the weight vector of criteria in decision-making problems. Finally, we provide an example by selecting an optimal design of electricity vehicles charge station(DEVCS) combined the PROMETHEE method with Z+-numbers, and the feasibility of the proposed method are verified.

scholarly journals Pemilihan Marketplace Di Masa Pandemi Covid-19 Menggunakan Metode MOORA

2021 ◽  
Vol 6 (2) ◽  
pp. 149
Author(s):  
Sultan Chaeruddin ◽  
Icih Sukarsih ◽  
Respitawulan Respitawulan
Keyword(s):  
Decision Making ◽  
Optimization Method ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
New Normal ◽  
Multi Objective ◽  
Multi Attribute Decision Making ◽  
The Right ◽  
Almost All ◽  
Moora Method

AbstrakPandemi COVID-19 telah melanda hampir di seluruh dunia. Pandemi ini juga merupakan sebuah masa dimana masyarakat dituntut melaksanakan kebiasaan baru atau dikenal dengan New Normal. Kebiasaan baru ini juga mempengaruhi cara masyarakat dalam berbelanja khususnya berbelanja di marketplace. Dengan memilih marketplace yang tepat maka masyarakat atau konsumen dapat memenuhi kebutuhan seperti produk kesehatan dan rumah tangga yang paling dicari di masa pandemi. Metode Multi Objective Optimization on The Basis of Ratio Analysis atau MOORA adalah salah satu metode dari Multi Attribute Decision Making. Metode MOORA dapat digunakan untuk menentukan rekomendasi marketplace di masa pandemi COVID-19. Hasil yang diharapkan adalah diperoleh alternatif terbaik berdasarkan penilaian masyarakat dan perhitungan menggunakan metode MOORA sehingga dapat terlihat pula perilaku konsumen di masa pandemi dan menjadi masukkan bagi perusahaan marketplace di masa yang akan datang.Kata kunci - Pandemi COVID-19; Marketplace; MOORAThe COVID-19 pandemic has hit almost all over the world. This pandemic is also a period when people are required to carry out new habits, known as the New Normal. This new habit also affects the way people shop, especially shopping in the marketplace. By choosing the right marketplace, the community or consumers can meet needs such as health and household products that are most sought after during a pandemic. The Multi Objective Optimization method on The Basis of Ratio Analysis or MOORA is one of the methods of Multi Attribute Decision Making. The MOORA method can be used to determine marketplace recommendations during the COVID-19 pandemic. The expected result is that the best alternative is obtained based on community assessment and calculations using the MOORA method so that consumer behavior can also be seen during the pandemic and become input for marketplace companies in the future.

scholarly journals Hesitant Fuzzy DeGroot Opinion Dynamics Model and Its Application in Multi-attribute Decision Making

2020 ◽  
Vol 15 (4) ◽  
Author(s):  
Zhan Su ◽  
Zeshui Xu ◽  
Hua Zhao ◽  
Shousheng Liu
Keyword(s):  
Decision Making ◽  
Opinion Dynamics ◽  
Dynamics Model ◽  
Fuzzy Matrix ◽  
The Public ◽  
Self Confidence ◽  
Confidence Degree ◽  
Multi Attribute Decision Making ◽  
Emergency Decision ◽  
The Right

The research on the evolution law of the opinions can help the decision makers (DMs) improve the decision-making efficiency, predict the trend of events and make the right decision. These opinions are always described by one number, which is inaccurate and incomplete. To solve such a problem, in this paper, the hesitant fuzzy DeGroot (HF-DeGroot) opinion dynamics model is proposed. In order to simulate the transformation of hesitant fuzzy opinions, we introduced the multiplications for real matrix and hesitant fuzzy matrix. Then three kinds of transformation matrices with the consideration of the similarity degree, self-confidence degree and authority degree are constructed based on the hesitant fuzzy data and the consensus condition for the model is discussed as well. Furthermore, the HF-DeGroot opinion dynamics decision-making method is proposed from a prediction perspective and is applied to the emergency decision for the public health events. Finally, the effectiveness, feasibility and practicability of this method are shown by the comparison and simulation results.

scholarly journals Investigation and Prioritizing the Effective Factors on Increasing the Human Resources Productivity in Agriculture Bank Using Multi-Attribute Decision Making Model

2016 ◽  
Vol 10 (5) ◽  
pp. 21
Author(s):  
Amir Abachi
Keyword(s):  
Decision Making ◽  
Human Resources ◽  
Statistical Population ◽  
Effective Factors ◽  
Frequency Table ◽  
Multi Attribute Decision Making ◽  
The One ◽  
The Right ◽  
Decision Making Model ◽  
Descriptive Survey

As organizations are going to develop, the need for efficient manpower becomes more apparent. Obviously, productivity of the manpower requires the attention of managers to the complexity of human behavior and appropriate utilization of the principles, techniques and skills of the management. This study aims to prioritize the effective factors on productivity of human resources in the Agriculture Bank. Productivity is beyond the performance, it also contains the effectiveness concept, and in other words, productivity is not just doing the right things. An activity may be done correctly and in the best way, while it has no role in achieving the goal. In this case, the performance is available but there is no productivity. Difference between the performance and is rooted in the effectiveness or in the direction of doing a work. The current paper is a descriptive survey. Statistical population includes all experts in the Research and Strategic Planning center of the Agricultural Bank (33 persons). The data obtained from the questionnaire were analyzed using descriptive statistics in the form of frequency table. Questions were examined based on the one-group- t-test and using SPSS.  Effective factors on increasing the human resources productivity were prioritized using Multi- Attribute Decision Making (MADM). After comparison of the alternatives, the related tables were prepared and prioritizing or ranking were done by determining the weight of each factor indexes and finally determining the weight of the four main factors. TOPSIS was used to evaluate the results of the MADM. Our research aims to prioritize the four factors according to the MADM.

Ranking of Cloud Services Using Opinion Mining and Multi-Attribute Decision Making

2017 ◽  
pp. 379-396 ◽  
Author(s):  
Srimanyu Timmaraju ◽  
Vadlamani Ravi ◽  
G. R. Gangadharan
Keyword(s):  
Decision Making ◽  
Opinion Mining ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Business Organizations ◽  
The World ◽  
Multi Attribute Decision Making ◽  
The Right ◽  
New Applications

Cloud computing has been a major focus of business organizations around the world. Many applications are getting migrated to the cloud and many new applications are being developed to run on the cloud. There are already more than 100 cloud service providers in the market offering various cloud services. As the number of cloud services and providers is increasing in the market, it is very important to select the right provider and service for deploying an application. This paper focuses on recommendation of cloud services by ranking them with the help of opinion mining of users' reviews and multi-attribute decision making models (TOPSIS and FMADM were applied separately) in tandem on both quantitative and qualitative data. Surprisingly, both TOPSIS and FMADM yielded the same rankings for the cloud services.

scholarly journals The Application of Quality Function Deployment in Car Seat Industry

2020 ◽  
Vol 11 (1) ◽  
pp. 35-42
Author(s):  
Humiras Hardi Purba ◽  
Sunadi Sunadi ◽  
Suhendra Suhendra ◽  
Else Paulina
Keyword(s):  
Quality Function Deployment ◽  
Marketing Strategies ◽  
Quality Function ◽  
Customer Needs ◽  
Car Seat ◽  
The Third ◽  
Continuous Quality ◽  
Technical Requirements ◽  
The Right ◽  
Qfd Method

The research aimed to ensure the right design of new products based on customer needs and to improve competitiveness based on renewal marketing strategies and customer needs in the car seat industry. Customer satisfaction ratings were used to compare with competitors. Then, the Quality Function Deployment (QFD) was implemented for the analysis. The research used total sampling or complete enumeration. So, the sample size was the same as the population size. Based on calculations using the QFD method, it shows that the seat option has the highest percentage of technical requirements in the car seat industry around 27,39%. The second factor is material about 25,94%, and the third factor is the damping characteristic about 19,17%. For continuous quality improvement in the future, a lot of customer needs regarding the seat car need to be developed.

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