Studying reservoir heterogeneity by Analytic Hierarchy Process and Fuzzy Logic, case study of Es1x formation of the Wang guan tun oilfield, China

2017 ◽  
Vol 156 ◽  
pp. 858-867 ◽  
Author(s):  
Xixin Wang ◽  
Jiagen Hou ◽  
Yuming Liu ◽  
Ling Ji ◽  
Jian Sun
Keyword(s):  
Fuzzy Logic ◽  
Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Reservoir Heterogeneity ◽  
Hierarchy Process

scholarly journals User needs elicitation via analytic hierarchy process (AHP). A case study on a Computed Tomography (CT) scanner

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Leandro Pecchia ◽  
Jennifer L Martin ◽  
Angela Ragozzino ◽  
Carmela Vanzanella ◽  
Arturo Scognamiglio ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Analytic Hierarchy Process ◽  
User Needs ◽  
Ct Scanner ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Integrated Quality Function Deployment as a Tool for Quality Achievement in Healthcare

2012 ◽  
Vol 1 (2) ◽  
pp. 80-92 ◽  
Author(s):  
Chintala Venkateswarlu ◽  
A. K. Birru
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Function Deployment ◽  
Healthcare Services ◽  
Relative Importance ◽  
Analytic Hierarchy ◽  
Direct Evaluation ◽  
Quality Function ◽  
Model Combining ◽  
Hierarchy Process

Quality function deployment (QFD) is a methodology that extracts client demands (CDs) and inducting them in the final service/product. Once CDs are extracted from client the traditional QFD approach uses absolute importance to identify the degree of importance for each CD. Direct evaluation of CDs based on absolute weighting without tradeoffs is easy to perform, but may lead to serious deviations from reality. An alternative to avoid this problem is to adopt the analytic hierarchy process (AHP) approach. In this paper, an integrated model combining AHP and QFD has been delineated as a quality achievement tool in healthcare. A case study is performed on the healthcare services provided by government general hospital, Indore District, Madhya Pradesh, India and data has been analyzed to benchmark the proposed framework by computing the degree of relative importance for CDs through AHP and incorporating them in subsequent deployment matrices.

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