scholarly journals mHealth apps design using quality function deployment

2019 ◽  
Vol 32 (4) ◽  
pp. 698-708
Author(s):  
Süleyman Barutçu
Keyword(s):  
Quality Function Deployment ◽  
Mobile Apps ◽  
Care Quality ◽  
Design Quality ◽  
Analytic Hierarchy ◽  
Quality Function ◽  
Content Type ◽  
Mobile Health Applications ◽  
Design Characteristics ◽  
Mhealth Apps

Purpose The purpose of this paper is threefold: first, to draw health managers’, clinicians’, entrepreneurs’ and mobile apps designers’ attention toward new mobile health applications (mHealth apps); second, to define mHealth apps design characteristics intended for doctors; and third, to highlight how mHealth apps can be designed using quality function deployment/house of quality (QFD/HOQ) techniques from doctors’ perspectives. Design/methodology/approach Data were collected through a survey and in-depth interviews with doctors to understand their needs and attitudes toward mHealth apps. Analytic hierarchy process, QFD and HOQ methods were used to analyze data. Findings Doctors agreed that mHealth apps provide them with the tools to improve their service and to become more efficient. Once the 12 doctors’ wants were collected, they were prioritized according to their significance and used for mHealth apps development. Eight technical characteristics that cater to doctors’ expectations were sorted. The authors suggest that mHealth app designers need to provide design requirements recommended by health personnel for a higher satisfaction level. Originality/value Healthcare managers are focusing on increasing their efficiency, patient satisfaction and care quality, and decreasing costs. For these purposes, mHealth revolution and mHealth apps have high potential for improving doctor effectiveness and healthcare quality. This study is among the first to: define Turkish doctors’ wants from mHealth apps; elaborate the app’s technical characteristics; and increase design quality, which is implied in improving app design. This research makes a significant contribution to define doctors’ wants from mHealth apps, to elaborate their technical characteristics and to increase mHealth apps design quality using QFD.

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.

Mapping the customer centric weather index insurance service design using quality function deployment

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pankaj Singh ◽  
Gaurav Agrawal
Keyword(s):  
Quality Function Deployment ◽  
Service Design ◽  
Index Insurance ◽  
Importance Rating ◽  
Customer Requirements ◽  
Weather Index ◽  
Quality Function ◽  
Content Type ◽  
Weather Index Insurance ◽  
Design Requirements

PurposeThe present paper aims to propose a framework on weather index insurance (WII) service design by using quality function deployment (QFD).Design/methodology/approachThis study utilizes QFD technique to propose a customer oriented framework on WII service design. In initial phase, customer and design requirements were gathered to derive the relationship between customers' and managers' voice for construct the house of quality (HOQ). Later on, prioritized customer and design requirements as QFD outcome were utilized to develop the action plan matrix in order to suggest the future action plans.FindingsThis study proposed a customer centric framework on WII service design to address the customer requirements. Findings show that adequate claim payments, hassle free prompt claim payment and transparency in losses computation are prioritized customer requirements with highest importance rating, whereas, accurate claim estimation, claim management system and advancement of technology are prioritized service design necessities with highest importance rating.Research limitations/implicationsThe proposed WII service design can enhance the quality of WII service by attain the higher standards of WII service in order to completely satisfy the customers.Practical implicationsThe proposed WII service design can provide a solution to the problems faced by WII industry by improve the customer's service experience and satisfaction.Originality/valueBased on best of author's knowledge, this paper first proposed a framework on WII service design by integrating customer and design requirements by using QFD.

scholarly journals Application of multi-based quality function deployment (QFD) model to improve halal meat industry

2019 ◽  
Vol 10 (1) ◽  
pp. 97-124 ◽  
Author(s):  
Iwan Vanany ◽  
Ghoffar Albab Maarif ◽  
Jan Mei Soon
Keyword(s):  
Food Production ◽  
Quality Function Deployment ◽  
Food Industry ◽  
Raw Material ◽  
Second Phase ◽  
Processing Plant ◽  
Final Phase ◽  
Quality Function ◽  
Content Type ◽  
Halal Food

PurposeHalal food market has grown significantly over the years. As consumers are becoming more aware of the significance of halal food products and certification, food industries will benefit from a model that controls and assures halal food production. Quality function deployment (QFD) is a tool to support product design and improve food quality systems. Thus, the purpose of this study is to propose a multi-phased QFD model to identify key processes and prioritise programmes to improve halal food production.Design/methodology/approachThe matrix in the first phase was designed using the halal assurance system (HAS) requirements and the set of production process. The relationships between HAS requirements and a set of halal critical factors [i.e. raw material (chicken), workers, procedures and documentation, equipment and premises] were established in the second phase. In the final phase, potential problems and improvement programmes arising under each critical halal phase were identified. The QFD model was developed and applied in a chicken processing plant in Indonesia.FindingsIn Matrix 1, slaughtering, meat processing and meat delivery were identified as the key process, whilst equipment, procedures and documentation and workers were determined as the most critical halal factors in Matrix 2. The final phase of the QFD approach assisted the chicken processing plant in reducing potential issues by identifying key improvement programmes. The prioritisation of improvement programmes also supports the company in decision-making and allocating their resources accordingly.Practical implicationsThe multi-phased QFD model can be designed and adapted to specific food industry. It can be used to assure halal food production and inform food industry which area to prioritise and to allocate resources accordingly. The improvement of halal food production will assist food companies to target and access international markets.Originality/valueThis study proposed a new multi-phased QFD model that can be used as a halal food assurance and prioritisation tool by the food industry. This model will benefit food industry intending to implement halal assurance scheme in their process, halal auditors and policymakers.

scholarly journals A Markovian-QFD approach in addressing the changing priorities of the customer needs

2016 ◽  
Vol 33 (8) ◽  
pp. 1062-1075 ◽  
Author(s):  
Mehdi Rajabi Asadabadi
Keyword(s):  
Markov Chain ◽  
Markov Chains ◽  
Quality Function Deployment ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Customer Needs ◽  
Customer Preferences ◽  
Network Process ◽  
Qfd Method

PurposeThe purpose of this paper is to introduce a solution to the problem of changing priorities of customer needs (CNs) in quality function deployment (QFD). Customer preferences and priorities are not very stable and they may change before products are ready for the market. Therefore, finding CNs accurately is a key to reach a higher level of customer satisfaction through improving products. Design/methodology/approachIn the proposed model, a Markov chain is employed to model the changing priorities of CNs. The Markov chain finds a pattern of future CNs, the main inputs of QFD. The QFD method is applied to translate CNs into product requirements (PRs). The analytic network process (ANP) is attached to QFD to ensure that all the relations among the elements, inner and outer, are taken into consideration during the translation process. Thus, CNs are received and adjusted by a Markov chain. FindingsThe application of Markov chains for an ANP-QFD model develops an adequate method of finding a pattern of changing priorities of CNs. This pattern enables the ANP-QFD method to work independent of the initial CNs, and originates a Markovain ANP-QFD. Originality/valueThis study originates a stochastic ANP-QFD model. There have been several papers employing various tools and techniques such as the ANP or analytic hierarchy process for QFD to find accurate relations between PRs and CNs. While there are a few papers applying Markov chains to predict the future of the relations of QFD, there is no study which traces the changes in priorities of the CNs during the improvement process. This is addressed by applying a Markovian ANP-QFD. The model is validated through a case study.

Optimal selection of third-party logistics service providers using quality function deployment and Taguchi loss function

2015 ◽  
Vol 22 (7) ◽  
pp. 1281-1300 ◽  
Author(s):  
Satyendra Kumar Sharma ◽  
Vinod Kumar
Keyword(s):  
Loss Function ◽  
Quality Function Deployment ◽  
Third Party ◽  
Third Party Logistics ◽  
Taguchi Loss Function ◽  
Quality Function ◽  
Content Type ◽  
Logistics Service ◽  
Proposed Model ◽  
Selection Of

Purpose – Selection of logistics service provider (LSP) (also known as Third-party logistics (3PL) is a critical decision, because logistics affects top and bottom line as well. Companies consider logistics as a cost driver and at the time of LSP selection decision, many important decision criteria’s are left out. 3PL selection is multi-criteria decision-making process. The purpose of this paper is to develop an integrated approach, combining quality function deployment (QFD), and Taguchi loss function (TLF) to select optimal 3PL. Design/methodology/approach – Multiple criteria are derived from the company requirements using house of quality. The 3PL service attributes are developed using QFD and the relative importance of the attributes are assessed. TLFs are used to measure performance of each 3PL on each decision variable. Composite weighted loss scores are used to rank 3PLs. Findings – QFD is a better tool which connects attributes used in a decision problem to decision maker’s requirements. In total, 15 criteria were used and TLF provides performance on these criteria. Practical implications – The proposed model provides a methodology to make informed decision related to 3PL selection. The proposed model may be converted into decision support system. Originality/value – Proposed approach in this paper is a novel approach that connects the 3PL selection problem to practice in terms of identifying criteria’s and provides a single numerical value in terms of Taghui loss.

scholarly journals Applying quality function deployment to social housing?

2017 ◽  
Vol 29 (3) ◽  
pp. 422-437 ◽  
Author(s):  
Katerina Kassela ◽  
Marina Papalexi ◽  
David Bamford
Keyword(s):  
Social Housing ◽  
Quality Function Deployment ◽  
Service Sector ◽  
Positive Impact ◽  
Housing Association ◽  
Professional Services ◽  
Future Research ◽  
Quality Function ◽  
Content Type ◽  
The Uk

Purpose The purpose of this paper is to focus on the application of quality function deployment (QFD) in a Housing Association (HA) located in the UK. Facing the problem of improving a company’s performance, practitioners and academics have fashioned and applied a variety of models, theories and techniques. Design/methodology/approach The research questions were developed from a review of the quality and process improvement literature and tested using evidence from field-based, action research within a UK HA company. The case study provides insight to the benefits and challenges arising from the application of QFD. Findings The results provided insight to the benefits and challenges arising from the application of a specific tool, QFD. The primary findings were: QFD can be successfully adapted, applied and utilised within the challenging environment of social housing and other sectors, such as professional services; the model can be modified to use most processes/sub-processes; it must include both external and internal requirements and, to be useful, use more detailed process parameters appropriately. Practical implications The conclusions drawn add to ongoing commentaries on aspects of quality improvement, especially the application of QFD within the service sector. The authors develop questions for future research regarding improvement projects. Originality/value The conclusion proposes that the implementation of QFD should have a positive impact upon a company; if approached in the right manner. It provides a useful mechanism for developing evidence-based strategy of operational change, control and improvement. The research proposes questions for future research into aspects of operational quality and efficiency.

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.

Sign in / Sign up

Export Citation Format

Share Document