Application of quality engineering techniques in the main domains of industrial engineering

2018 ◽  
Vol 1 (90) ◽  
pp. 22-40
Author(s):  
M.H. Karimi Gavareshki ◽  
M. Abbasi ◽  
M. Karbasian ◽  
R. Rostamkhani
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Function Deployment ◽  
Industrial Engineering ◽  
The Other ◽  
Theoretical Research ◽  
Statistical Techniques ◽  
Quality Engineering ◽  
Analytic Hierarchy ◽  
Statistical Process ◽  
Hierarchy Process

Purpose: of this paper is to cover the main domains of industrial engineering based on the statistical and non-statistical techniques related to quality engineering. In this research, in addition to the review of the main domains of industrial engineering and the required specifications of technique, have been tried to present an integrated model of application of these techniques in order to create or increase the total score of productivity and sustainability in related scale with Analytic Hierarchy Process (AHP) approach. Design/methodology/approach: of this paper has been divided in two categories. The method of theoretical research consists of data collection tools, reference books, and several articles of the Iranian Center for Defences Standard. The method of practical research is the assessment of selected statistical and non-statistical techniques related to quality engineering, which have been deployed in the main domains of industrial engineering related to the manufacturing factories that are belonged to the selected industries of the Defence Industries Organization (DIO). Findings: of this paper consist of four main results. The maximum impact of standard statistical techniques in order to cover the main domains of industrial engineering and the required specifications of technique is related to the Statistical Process Control (SPC). Furthermore, the maximum impact of non-statistical techniques in order to cover them, is related to the Quality Function Deployment (QFD). The other results, which can be assessed with details, have shown that the maximum importance of the main domains of industrial engineering is related to the planning and manufacturing control and the maximum importance of the required specifications of technique is related to the mathematical analysis too. The total score of productivity and sustainability in related scale has been achieved to the upper than moderate level. In this research, the identification and determination of important factors, which have influenced on the productivity and sustainability have been done for the first time. The percentage of impact of the quality engineering techniques for both productivity and sustainability in the industrial engineering field is approximate to 70%. Research limitations/implications: of this paper suggest that the application of quality engineering tools including statistical and non-statistical techniques can be generalized to the other engineering or management fields with the same Analytic Hierarchy Process (AHP) or Analytic Network Process (ANP) approach in phase environments. Originality/value: of this paper have been extracted from the managers and experts involved with qualitative issues in the different levels of the Defence Industries Organization (DIO) and the Maham Group. This values are assessed from two aspects. Firstly, the validity of this research was carried out using expert’s opinions (Industrial advisers, Lead auditors of the Iranian center for Defences Standard and university professors). Secondly, all values of the research reliability are acceptable.

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.

Comparison of methods of ranking scientists based on the Hirsch and PageRank indices: contradictory situations

2021 ◽  
pp. 39-44
Author(s):  
Hryhorii Hnatiienko ◽  
Oleksiy Oletsky
Keyword(s):  
Analytic Hierarchy Process ◽  
Pairwise Comparison ◽  
The Other ◽  
Publication Activity ◽  
Comparison Of Methods ◽  
Automated Systems ◽  
Analytic Hierarchy ◽  
H Index ◽  
Scientometric Indicators ◽  
Hierarchy Process

Experiments aimed at comparing different methods of estimating and ranking scientists and researchers on the base of their publication activity are reported. Scientometric indicators based on h-index and PageRank are being compared. For such a comparison, a graph of citations represented by a matrix was applied. An example when different methods lead to opposite results was described. For example, authors having the best PageRank-based estimations may have the least h-indices. Such a situation is possible when a high-cited author managed to obtain a key result cited by all the other authors but this author has few papers. A comparison with methods of expert estimations was carried out, which appears to be very useful for building automated systems combining various methods of algorithmic estimating and ranking. The Analytic Hierarchy Process was applied. For building pairwise comparison matrices, transitive scales with a parameter representing how much times the next level of advantage is bigger than the previous one were harnessed.

scholarly journals Work facility design for VCO operator using integrated quality function deployment and Analytic Hierarchy Process

2018 ◽  
Vol 154 ◽  
pp. 01065
Author(s):  
Sri Indrawati ◽  
Abdullah ‘Azzam ◽  
Wini Wiliyanti
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Function Deployment ◽  
Entire Body ◽  
Facility Design ◽  
Analytic Hierarchy ◽  
Quality Function ◽  
Assessment Scores ◽  
Rapid Entire Body Assessment ◽  
Hierarchy Process ◽  
Qfd Method

The Musculoskeletal disorder (MSDs) is skeletal muscle disorders that lead to damage in nerves, muscles, joints and cartilages. The damage is caused by muscle tension and degeneration. From the preliminary research in virgin coconut oil (VCO) processing industry, Central Java, Indonesia, there are potential risk of MSDs for workers. The majority of operators complaining on the right thigh (score 37) and left thigh (score 35). In addition, 50% of operators is work with moderate risk (rapid entire body assessment scores 4-7) and 50% others at a high risk level (rapid entire body assessment scores 8-10). Therefore, improvement is needed to prevent MSDs through work facility design using an integrated quality function deployment (QFD) method. In QFD, there is a concept screening phase to select some product design concept. To determine the priority, the QFD method can be integrated with analytic hierarchy process (AHP) method. The research shows that attributes of work facility needed by user are ergonomic, portable, durable and aesthetic. Concept design B have the highest priority score 0,32 and selected as the final work facility design. The technical specification are made from mahogany wood with an attractive design, red colour combination and developed based on user's anthropometry data.

Quality Function Deployment and Analytic Hierarchy Process: A literature review of their joint application

2020 ◽  
Vol 28 (3) ◽  
pp. 239-251
Author(s):  
Leonardo Medeiros Vaz de Oliveira ◽  
Hugo Ferreira dos Santos ◽  
Mariana Rodrigues de Almeida ◽  
José Alfredo Ferreira Costa
Keyword(s):  
Analytic Hierarchy Process ◽  
Quality Function Deployment ◽  
Systematic Investigation ◽  
Analytic Hierarchy ◽  
Quality Function ◽  
Joint Application ◽  
Manufacturing Supply Chain ◽  
Combined Use ◽  
Scopus Database ◽  
Hierarchy Process

The aim of this paper is to review the literature on the combined use of Quality Function Deployment (QFD) and Analytic Hierarchy Process (AHP) methodologies and to apply a comprehensive analysis over the resulting publications. The paper seeks to classify the articles with regard to their variations and extensions, and application areas. The articles are mostly applied in manufacturing, supply chain, higher education, strategy, service and sustainability. This review is characterized by a quantitative and qualitative approach of a non-probabilistic intentional sample composed of 100 academic papers – 98 articles and 2 reviews. For this purpose, the Scopus database was selected as a means to undertake a systematic investigation with a longitudinal cut from 1994 to 2015. The aim of this paper also contributes toward complementing Ho and Mehrjerdi revisions on deepening the QFD-AHP joint application. The limitation is related to the sample of works focus of this review, restricted to the Scopus database, thereby not characterizing the literature universe. A proposal for further investigations is to expand the search scope to other databases and to carry out a deeper analysis on each application area presented.

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