scholarly journals Agility Factors’ Analyses Framework in Project-Oriented Organizations through a Sustainability Approach in Large Projects Case Study: Isfahan Municipality

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Ahmadreza Tahanian ◽  
Hasan Haleh ◽  
Farhad Etebari ◽  
Behnam Vahdani
Keyword(s):  
Quality Function Deployment ◽  
Success Factors ◽  
Environmental Changes ◽  
Communication Management ◽  
Quality Function ◽  
Critical Success ◽  
Management Concept ◽  
Market Needs ◽  
Executive Managers

In recent years, the project management concept is coupled with sustainable development. In terms of profitability and adapting to environmental changes, generating value for the customer and responding to market needs is a challenging issue. To gain profit and success, a project should adhere to agility factors. With respect to the importance of project execution success, corresponding to the sustainability dimensions and by developing agility parameters, this study provides a framework for clustering and analyzing “large projects” based on agility factors in project-oriented organizations through a sustainability approach and by applying Quality Function Deployment. To this end, critical factors of project success and then agility factors of the project-oriented organizations have been identified. Thereafter, the importance of these two major components has been measured by executive managers in Isfahan Municipality and academic experts. Afterward, the agility factors’ weights have been calculated based on extracted sustainability factors’ weights, which have been gained according to the project’s critical success factors and by applying quality function deployment. By determining the agility factors’ clusters in the project-oriented organizations and calculating their importance weights, the first cluster that contains project communication management, organizational culture, and contracts management gains the maximum weight of importance.

scholarly journals QUALITY FUNCTION DEPLOYMENT (QFD) APPLIED TO THE VARIABLES THAT INFLUENCE QUALITY COSTS IN MECHANIZED FOREST HARVEST OPERATIONS

FLORESTA ◽  
2020 ◽  
Vol 50 (4) ◽  
pp. 1717
Author(s):  
Gustavo Silva Oliveira ◽  
Philipe Ricardo Casemiro Soares ◽  
Jean Alberto Sampietro
Keyword(s):  
Quality Function Deployment ◽  
Success Factors ◽  
Production Quality ◽  
Wood Production ◽  
Forest Harvest ◽  
Quality Function ◽  
Critical Success ◽  
Quality Costs ◽  
A Company ◽  
Qfd Method

Globalization and client demands result in the need for investments for the survival of the companies. Forest harvest represents the highest costs and losses of wood production. Quality function deployment (QFD) is recommended to achieve quality by detecting customer needs. Thus, this study aimed to determine the variables that influence quality costs in the mechanized harvest to reach the quality control of forest activity. The research was developed in a company located in the State of Santa Catarina, Brazil. The variables that influence quality costs in four categories (evaluation, prevention, internal and external flaws) were identified. The QFD method was used to translate the needs of internal and external customers (critical success factors) of mechanized harvesting activities into measurable technical characteristics (variables that influence quality costs), determining the weight for each relationship and, consequently, the balance of the categories, besides the correlations of the variables evaluated as strong, medium, weak, and non-existent. Among the 29 variables identified, 18 consisted of evaluation and prevention, representing the relative weights of 37.17% and 26.49%, respectively, and 11 represented internal and external flaws, with values of 26.57% and 9.73%, respectively. The correlation matrix found 334 correlation of the 406 cells: 195 (58%) strong, 86 (26%) medium, and 53 (16%) weak. In conclusion, the company must improve process quality by investing in evaluation and prevention aimed at reducing non-conformities and expansion of revenues.

scholarly journals Quality function deployment: more than a design tool

2019 ◽  
Vol 11 (2) ◽  
pp. 142-166 ◽  
Author(s):  
Nadiye Ozlem Erdil ◽  
Omid M. Arani
Keyword(s):  
Quality Improvement ◽  
Quality Function Deployment ◽  
Design Tool ◽  
Quality Improvements ◽  
Literature Study ◽  
Quality Function ◽  
Content Type ◽  
Study Approach ◽  
Design Activities

Purpose This paper aims to investigate to what extent quality function deployment (QFD) can be used in quality improvement rather than design activities. Design/methodology/approach A framework was developed for implementation of QFD as a quality improvement tool. A case study approach is used to test this framework, and quality issues were analyzed using the framework in a ceramic tile manufacturing company. Findings The results showed considerable improvements in the critical quality characteristics identified and sales rates, demonstrating the potential of QFD to be used in assessing and prioritizing areas of improvement, and converting them into measurable process or product requirements. Research limitations/implications One case study was completed. More studies would be beneficial to support current findings. Practical implications This framework provides structured approach and guidelines for practitioners in adapting QFD for quality improvements in existing products or processes. Originality/value This study proposes a new framework to use QFD in quality improvement activities, expanding its application areas. Moreover, the results of the literature study performed provide a valuable collection of practical QFD implementation examples.

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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