AN INTEGRATED INTERPRETIVE STRUCTURAL MODELING–FUZZY ANALYTIC NETWORK PROCESS–BENEFITS, OPPORTUNITIES, COSTS AND RISKS MODEL FOR SELECTING TECHNOLOGIES

2011 ◽  
Vol 10 (05) ◽  
pp. 843-871 ◽  
Author(s):  
AMY H. I. LEE ◽  
HE-YAU KANG ◽  
CHAO-CHENG CHANG
Keyword(s):  
New Product ◽  
Structural Modeling ◽  
Analytic Network Process ◽  
Appropriate Technology ◽  
Evaluation Framework ◽  
Technology Evaluation ◽  
Interpretive Structural Modeling ◽  
Network Process ◽  
Multiple Experts ◽  
Fuzzy Analytic Network Process

Technology evaluation has been increasingly important because of the pressing needs of new product introduction in a competitive global market. To select the most appropriate technology, a firm needs to have a robust technology evaluation framework to evaluate several technology candidates based on multiple criteria and evaluated by multiple experts. Thus, this paper presents an integrated model for evaluating various technologies for New Product Development (NPD). A network that takes into account the benefits, opportunities, costs, and risks (BOCR) aspects of different technologies is constructed first, and interpretive structural modeling (ISM) is applied next to determine the interrelationships among the factors. Finally, fuzzy analytic network process (FANP) is used to facilitate the evaluation process of decision makers under an uncertain environment with interrelated factors. The proposed model is applied in a flat panel manufacturer in selecting the most suitable panel technology.

scholarly journals A Model for Selecting Technologies in New Product Development

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
He-Yau Kang ◽  
Amy H. I. Lee ◽  
Chao-Cheng Chang ◽  
Mei-Sung Kang
Keyword(s):  
Decision Making ◽  
Product Development ◽  
New Product Development ◽  
Evaluation Process ◽  
New Product ◽  
Analytic Network Process ◽  
Appropriate Technology ◽  
Technology Selection ◽  
Interpretive Structural Modeling ◽  
Network Process

Due to fast changing technologies, shortening product lifecycles, and increased global competition, companies today often need to develop new products continuously and faster. Successful introduction and acceleration of new product development (NPD) is important to obtain competitive advantage for companies. Since technology selection for NPD involves complex decision makings that are critical to the profitability and growth of a company, the selection of the most appropriate technology for a new product requires the use of a robust decision-making framework capable of evaluating several technology candidates based on multiple criteria. This paper presents an integrated model that adopts interpretive structural modeling (ISM) and fuzzy analytic network process (FANP) to evaluate various different available technologies for NPD. The ISM is used to understand the interrelationships among the factors, and the FANP is to facilitate the evaluation process of decision makers under an uncertain environment with interrelated factors. A case study of a flat panel manufacturer is performed to examine the practicality of the proposed model. The results show that the model can be applied for group decision making on the available technology evaluation and selection in new product development.

scholarly journals USING FUZZY ANALYTIC NETWORK PROCESS AND ISM METHODS FOR RISK ASSESSMENT OF PUBLIC-PRIVATE PARTNERSHIP: A CHINA PERSPECTIVE

2019 ◽  
Vol 25 (2) ◽  
pp. 168-183 ◽  
Author(s):  
Yan Li ◽  
Xinyu Wang
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Assessment Tool ◽  
Analytic Network Process ◽  
Interest Rate Risk ◽  
Public Private Partnership ◽  
Interpretive Structural Modeling ◽  
Private Partnership ◽  
Network Process ◽  
Fuzzy Analytic Network Process

The public-private partnership (PPP) has been adopted globally to meet intensifying demands for public facilities and services. However, PPP projects contain a variety of risks which may lead to project failure. Many researchers have explored risk factors associated with PPP projects in developing countries. However, these investigations have limited their aim to understanding risk impact without considering the interactions of these factors. Hence, to fill this gap, this study proposes a risk assessment method, addressing vital interrelationships and interdependencies. Two methodologies, fuzzy analytic network process (F-ANP) and interpretive structural modeling (ISM), were applied to avoid vagueness and data inaccuracies. The primary contributions of this paper were considering the relationships among risk factors and risk priority; and offering a risk analysis approach based on linguistic scales and fuzzy numbers to reflect different neutral, optimistic and pessimistic viewpoints from expert respondents’ judgments. Results from this analysis showed that legal and policy risk was the most influential and interdependent risk, and interest rate risk was the most essential risk in Chinese PPP projects. The ISM structure diagram demonstrated that most of 35 identified risk factors had high driving and dependence power. This study proposed a systematic and practical method to identify and assess PPP risk factors, utilizing an integrated approach consisting of F-ANP and ISM, which has not been used for risk assessment in the construction field. This paper provides a new risk assessment tool and a basis for risk management strategies in the construction engineering and management field.

scholarly journals A Hybrid Fuzzy Analytic Network Process Approach to the New Product Development Selection Problem

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Chiuh-Cheng Chyu ◽  
Ying-Chieh Fang
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Real Life ◽  
New Product ◽  
Analytic Network Process ◽  
Selection Problem ◽  
Fuzzy Dematel ◽  
Proposed Model ◽  
Network Process ◽  
Fuzzy Analytic Network Process

New product development selection is a complex decision-making process. To uphold their competence in competitive business environments, enterprises are required to continuously introduce novel products into markets. This paper presents a fuzzy analytic network process (FANP) for solving the product development selection problem. The fuzzy set theory is adopted to represent ambiguities and vagueness involved in each expert’s judgment. In the proposed model, the fuzzy Kano method and fuzzy DEMATEL are employed to filter criteria and establish interactions among the criteria, whereas the SAM is applied to aggregate experts’ opinions. Unlike the commonly used top-down relation-structuring approach, the proposed FANP first identifies the interdependence among the criteria and then the identified relationships are mapped to the clusters. This approach is more realistic, since the inner and outer relationships between criteria are simultaneously considered to establish the relationships among clusters. The proposed model is illustrated through a real life example, with a comparative analysis using modified TOPSIS and gray relation analysis in the synthesizing phase. The concluded results were approved by the case company. The proposed methodology not only is useful in the case study, but also can be generally applied in other similar decision situations.

Ứng dụng Fuzzy Analytic Network Process và Goal Programming trong lựa chọn nhà cung ứng xanh

2017 ◽  
Vol 50 ◽  
pp. 50
Author(s):  
Trần Thị Nhật Hồng ◽  
Trần Thị Mỹ Dung ◽  
Huỳnh Tấn Phong ◽  
Lê Thị Diễm Phương ◽  
Trương Hoàng Thơ
Keyword(s):  
Goal Programming ◽  
Analytic Network Process ◽  
Network Process ◽  
Fuzzy Analytic Network Process
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