Mapping customer needs to engineering characteristics: an aerospace perspective for conceptual design

Designing complex engineering systems, such as an aircraft or an aero-engine, is immensely challenging. Formal Systems Engineering (SE) practices are widely used in the aerospace industry throughout the overall design process to minimise the overall design effort, corrective re-work, and ultimately overall development and manufacturing costs. Incorporating the needs and requirements from customers and other stakeholders into the conceptual and early design process is vital for the success and viability of any development programme. This paper presents a formal methodology, the Value-Driven Design (VDD) methodology that has been developed for collaborative and iterative use in the Extended Enterprise (EE) within the aerospace industry, and that has been applied using the Concept Design Analysis (CODA) method to map captured Customer Needs (CNs) into Engineering Characteristics (ECs) and to model an overall ‘design merit’ metric to be used in design assessments, sensitivity analyses, and engineering design optimisation studies. Two different case studies with increasing complexity are presented to elucidate the application areas of the CODA method in the context of the VDD methodology for the EE within the aerospace secto

A methodology for project portfolio selection under criteria prioritisation, uncertainty and projects interdependency – combination of fuzzy QFD and DEA

© 2018 Elsevier Ltd Resources of an organisation (people, time, money, equipment, etc) are never endless. As such, a constant and continuous challenge for decision makers is to decide which projects should be given priority in terms of receiving critical resources in a way that the organisation's productivity and profitability is best guaranteed. Previous literature has already developed a plenitude of project portfolio selection methodologies ranging from simple scoring to complex mathematical models. However, most of them too often fail to propose one integrated and seamless method that can simultaneously take into account three important elements: (1) prioritisation of selection criteria over each other, (2) uncertainty in decision-making, and (3) projects interdependencies. This paper aims to fill this gap by proposing an integrated method that can simultaneously address all these three aspects. The proposed method combines Quality Function Development (QFD), fuzzy logic, and Data Envelopment Analysis (DEA) to accounts for prioritisation, uncertainty and interdependency. We then apply this method in a numerical example from a real world case to illustrate the applicability and efficacy of the proposed methodology

Evaluation of e-learning web sites using fuzzy axiomatic design based approach

High quality web site has been generally recognized as a critical enabler to conduct online business. Numerous studies exist in the literature to measure the business performance in relation to web site quality. In this paper, an axiomatic design based approach for fuzzy group decision making is adopted to evaluate the quality of e-learning web sites. Another multi-criteria decision making technique, namely fuzzy TOPSIS, is applied in order to validate the outcome. The methodology proposed in this paper has the advantage of incorporating requirements and enabling reductions in the problem size, as compared to fuzzy TOPSIS. A case study focusing on Turkish e-learning websites is presented, and based on the empirical findings, managerial implications and recommendations for future research are offered

A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning

Customer requirements (CRs) play a significant role in the product development process, especially in the early design stage. Quality function deployment (QFD), as a useful tool in customer-oriented product development, provides a systematic approach towards satisfying CRs. Customers are heterogeneous and their requirements are often vague, therefore, how to determine the relative importance ratings (RIRs) of CRs and eventually evaluate the final importance ratings is a critical step in the QFD product planning process. Aiming to improve the existing approaches by interpreting various CR preferences more objectively and accurately, this paper proposes a weighted interval rough number method. CRs are rated with interval numbers, rather than a crisp number, which is more flexible to adapt in real life; also, the fusion of customer heterogeneity is addressed by assigning different weights to customers based on several factors. The consistency of RIRs is maintained by the proposed procedures with design rules. A comparative study among fuzzy weighted average method, rough number method and the proposed method is conducted at last. The result shows that the proposed method is more suitable in determining the RIRs of CRs with vague information

A process view on managing quality during the creation of technical innovations : lessons from field research.

Quality Management (QM) principles have left their marks on business practice for more than a decade. Amongst the many business functions that have faced the widespread introduction of QM standards and methodologies, the R&D function has been amongst the last to undergo their pervasive influence. The uncertain and ambiguous nature of the technical innovation not to introduce 'traditional' QM approaches in R&D settings. These arguments are often based on a rather rigid and mechanistic view on QM. As recent insights show, this need not to be the case. QM can offer an avenue to fundamentally scrutinise and re-think-functional interaction strategies in innovative contexts. Therefore, the process of introducing QM principles is an R&D environment deserves close attention. This paper offers a field-based insight into these fundamental organisational and managerial issues.Innovations; Knowledge;

A new proposal to improve the customer competitive benchmarking in QFD

Quality Function Deployment (QFD) is a structured tool that supports the design of new products/services, translating customer requirements into technical and process characteristics. The so-called Customer Competitive Benchmarking is a module of the QFD’s House of Quality, in which a sample of (potential) customers express their perceptions on a set of competing products/services, within the same market segment of the one to be designed; this information is then elaborated by a cross-functional team of experts and used to define improvement and strategic goals. Despite the importance of this kind of benchmarking for the whole QFD process, the scientific literature reveals limited research. This paper critically analyzes the canonical procedure of customer-competitive benchmarking, highlighting its major weaknesses and problematic aspects. Additionally, it proposes an alternative procedure to overcome (at least partly) those weaknesses, without undermining the simplicity in data collection and processing of the canonical procedure. This alternative procedure utilizes the Thurstone’s Law of Comparative Judgment, which allows to transform subjective judgments by multiple respondents into a collective cardinal scaling. The description is supported by several pedagogical and real-life examples