Design Requirements for a Tendon Rehabilitation Robot: Results From a Survey of Engineers and Health Professionals

2010 ◽  
Author(s):  
Volkan Patoglu ◽  
Gurdal Ertek ◽  
Ozgur Oz ◽  
Deniz Zoroglu ◽  
Gul Kremer
Keyword(s):  
Health Professionals ◽  
Quality Function Deployment ◽  
Rehabilitation Robot ◽  
Relative Importance ◽  
Functional Requirements ◽  
Strong Correlations ◽  
Customer Requirements ◽  
Rehabilitation Robots ◽  
Survey Results ◽  
Design Requirements

Exoskeleton type finger rehabilitation robots are helpful in assisting the treatment of tendon injuries. A survey has been carried out with engineers and health professionals to further develop an existing finger exoskeleton prototype. The goal of the study is to better understand the relative importance of several design criteria through the analysis of survey results and to improve the finger exoskeleton accordingly. The survey questions with strong correlations are identified and the preferences of the two respondent groups are statistically compared. The results of the statistical analysis are interpreted and insights obtained are used to guide the design process. The answers to the qualitative questions are also discussed together with their design implications. Finally, Quality Function Deployment (QFD) has been employed for visualizing these functional requirements in relation to the customer requirements.

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.

A BWM-based approach for customer-oriented product development with insufficient information and its application to 5 G smartphone design

2021 ◽  
pp. 1-16
Author(s):  
Fang Wang ◽  
Hai-Mei Li ◽  
Yan-Lai Li ◽  
Ai-Ping Wu
Keyword(s):  
Quality Function Deployment ◽  
Relative Importance ◽  
Customer Requirements ◽  
Insufficient Information ◽  
Power Utility ◽  
Customer Heterogeneity ◽  
Degree Function ◽  
Importance Ratings ◽  
Novel Model

Quality function deployment (QFD) is a customer-oriented tool for developing products. Based on the idea of the best-worst method (BWM), a novel model is developed to determine the relative importance ratings (RIRs) of customer requirements (CRs) with interval grey linguistic (IGL) information, which plays a significant role in QFD. CRs are rated with IGL variables, and the degree of greyness degree function that can be used to handle the IGL variables is defined based on the power utility function. Then, considering customer heterogeneity, a model is constructed to derive the RIRs of CRs by following the logic of the BWM. Finally, a case study of 5 G smartphone development is provided to verify the validity and the feasibility of the proposed method.

Organizing and Managing Customer Requirements During the Product Definition Phase of Design

1994 ◽  
Author(s):  
John A. Gershenson ◽  
Dileep V. Khadilkar ◽  
Larry A. Stauffer
Keyword(s):  
Quality Function Deployment ◽  
Taxonomic Structure ◽  
Customer Requirements ◽  
End User ◽  
Regulatory Requirements ◽  
Technical Requirements ◽  
Design Requirements ◽  
Definition Of ◽  
Product Definition ◽  
Definition Phase

Abstract We developed a methodology for organizing design requirements at the beginning of the design process which helps Marketing, Engineering Design, and all other stakeholders communicate from the outset. The methodology uses an expanded definition of a product’s customer which includes not only the end user, but anyone associated with the product at any point from concept through retirement. The methodology has a taxonomic structure to delineate customer requirements in four main areas: end user requirements, corporate requirements, regulatory requirements, and technical requirements. This methodology has the same objective as Quality Function Deployment yet is more robust.

Towards a Model-Based Framework for Linking Design Requirements to the Functional Layout of the Product

2001 ◽  
Author(s):  
Patrik Nilsson ◽  
Björn Fagerström
Keyword(s):  
Quality Function Deployment ◽  
Functional Requirements ◽  
Industrial Case Study ◽  
Proposed Model ◽  
Functional Layout ◽  
Design Requirements ◽  
Stakeholder Needs ◽  
The Voice ◽  
Early Phases

Abstract The aim of this paper is to bridge the gap between the requirements and the functional layout of a product during the early phases of product development. During these early phases, it is important to capture the customer’s desires in order to achieve success in the market. A common methodology for this is Quality Function Deployment (QFD). However, we argue that it is important to consider different stakeholder needs and not only the ‘voice of the customer’ to create a well-balanced product. The proposed model uses a QFD with a broader approach in which different stakeholders are considered. The needs from the stakeholders are divided into functional requirements and non-functional requirements (constraints), and linked to the functional layout. The model will support the decision-making process and help the designer balance the interests of different stakeholders and the related functions, resulting in a more balanced product. The model has been applied in an industrial case study.

The Role of Modularized QFD in an Interdisciplinary Approach for System Concept Selection

2006 ◽  
Author(s):  
Shun Takai
Keyword(s):  
Quality Function Deployment ◽  
Interdisciplinary Approach ◽  
Value Engineering ◽  
Customer Requirements ◽  
Target Cost ◽  
Input Design ◽  
System Module ◽  
System Requirements ◽  
Design Requirements

This paper discusses a role of modularized Quality Function Deployment (QFD) matrices in an interdisciplinary approach for system concepts selection. The approach uses a set of interdisciplinary tools that consists of marketing, accounting, value engineering and design engineering. When using modularized QFD matrices in the interdisciplinary approach, engineers specify target requirements before assessing how each output design requirements (e.g., system requirements) contributes to the achievement of input design requirements (e.g., customer requirements). Then engineers use their value of each output design requirement in QFD relationship matrices. By setting target requirements for each system module, engineers can freeze interactions between modules when modularizing QFD matrices. By using engineers’ value in QFD relationship matrices, engineer can allocate worth of system (for the customers) to system modules based on engineers’ value. The target cost of modules calculated from the allocated worth reflect both customers’ and engineers’ value.

An integrated ANP–QFD approach for prioritization of customer and design requirements for digitalization in an electronic supply chain

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepu TS ◽  
Ravi V
Keyword(s):  
Supply Chain ◽  
Quality Function Deployment ◽  
Analytic Network Process ◽  
Lead Times ◽  
Customer Requirements ◽  
Content Type ◽  
Supply Chain Efficiency ◽  
Network Process ◽  
Term Basis ◽  
Design Requirements

PurposeSupply chain efficiency can be enhanced by integrating the activities in supply chain through digitalization. Advancements in digital technologies has facilitated in designing robust and dynamic supply chain by bringing in efficiency, transparency and reduction in lead times. This research tries to identify and prioritize the customer requirements and design requirements for effective integration of supply chain through digitalization.Design/methodology/approachThe key nine customer requirements and 16 design requirements applicable for an electronics company were shortlisted in consultation with the experts from the company and academia. An integrated analytic network process (ANP) and quality function deployment (QFD) methodology has been applied for prioritizing the customer and design requirements. The relative importance and interdependence of these requirements were identified and a House of Quality (HOQ) is constructed.FindingsThe HOQ constructed has prioritized and identified interrelationships among customer requirements and design requirements for effective supply chain digitalization. These findings could be effectively used by managers for planning the objectives on long-term, medium-term and short-term basis.Originality/valueThis study tries to bridge the gap of identifying and prioritizing the design and customer requirements for effective supply chain integration through digitalization. The results could aid practicing managers and academicians in decision-making on supply chain digitalization process.

scholarly journals Integrating machine learning with QFD for selecting functional requirements in construction automation

2020 ◽  
Vol 1 (1) ◽  
pp. 76-88
Author(s):  
Edgar Tamayo ◽  
Yasir Khan ◽  
Mohamed Al-Hussein ◽  
Ahmed Qureshi
Keyword(s):  
Machine Learning ◽  
Feature Selection ◽  
Conceptual Design ◽  
Quality Function Deployment ◽  
Functional Requirements ◽  
Customer Requirements ◽  
Customer Requirement ◽  
Quality Function ◽  
Requirement Definition ◽  
Feature Selection Techniques

An important aspect of the conceptual design is at the customer requirement definition stage, where an optimal number of functional requirements are specified with the application of quality function deployment. To facilitate a systematic specification of functional requirements, state-of-the-art unsupervised machine learning techniques will be introduced in the feature selection of functional requirements. However, the scarcity of references on unsupervised feature selection in the literature reflects the difficulty associated with this topic. At the customer requirement definition phase, three techniques will be proposed for selecting functional requirements, namely: (a) principal component analysis, (b) forward orthogonal search, and (c) Kohonen self-organizing map neural network. These machine learning feature selection techniques address the limitations of current approaches in systematically determining the minimum functional requirements from the mapping of customer requirements in quality function deployment. When applied to the conceptual design of the transportable automated wood wall framing machine that is under development at the University of Alberta, the proposed feature selection techniques have been observed to be: (i) fast, (ii) amenable to small quality function deployment dataset, and (iii) adequate in realizing design objectives. The results presented in this paper can be easily extended to online determination of customer requirements and functional requirements, project management, contract management, and marketing.

scholarly journals Feedback of patient survey on medication improves the management of polypharmacy: a pilot trial

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Yuta Hirose ◽  
Kiyoshi Shikino ◽  
Yoshiyuki Ohira ◽  
Sumihide Matsuoka ◽  
Chihiro Mikami ◽  
...  
Keyword(s):  
Health Professionals ◽  
Questionnaire Survey ◽  
Pilot Trial ◽  
Patient Survey ◽  
Contributing Factors ◽  
Chi Square ◽  
Oral Medications ◽  
Medical Institutions ◽  
Chi Square Test ◽  
Survey Results

Abstract Background Patient awareness surveys on polypharmacy have been reported previously, but no previous study has examined the effects of sending feedback to health professionals on reducing medication use. Our study aimed to conduct a patient survey to examine factors contributing to polypharmacy, feedback the results to health professionals, and analyze the resulting changes in the number of polypharmacy patients and prescribed medications. Methods After conducting a questionnaire survey of patients in Study 1, we provided its results to the healthcare professionals, and then surveyed the number of polypharmacy patients and oral medications using a before-after comparative study design in Study 2. In Study 1, we examined polypharmacy and its contributing factors by performing logistic regression analysis. In Study 2, we performed a t-test and a chi-square test. Results In the questionnaire survey, significant differences were found in the following 3 items: age (odds ratio (OR) = 3.14; 95% confidence interval (CI) = 2.01–4.91), number of medical institutions (OR = 2.34; 95%CI = 1.50–3.64), and patients’ difficulty with asking their doctors to deprescribe their medications (OR = 2.21; 95%CI = 1.25–3.90). After the feedback, the number of polypharmacy patients decreased from 175 to 159 individuals and the mean number of prescribed medications per patient decreased from 8.2 to 7.7 (p < 0.001, respectively). Conclusions Providing feedback to health professionals on polypharmacy survey results may lead to a decrease in the number of polypharmacy patients. Factors contributing to polypharmacy included age (75 years or older), the number of medical institutions (2 or more institutions), and patients’ difficulty with asking their physicians to deprescribe their medications. Feedback to health professionals reduced the percentage of polypharmacy patients and the number of prescribed medications. Trial registration UMIN. Registered 21 June 2020 - Retrospectively registered, https://www.umin.ac.jp/ctr/index-j.htm

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