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The purpose of this paper is to report a research conducted to apply fuzzy axiomatic design approach for selecting the design alternatives of an overflow valve.

The approach started with the identification of functional requirements (FRs) and design parameters (DPs) and the relationship between them to select the best design alternative. Fuzzy analytical hierarchy process was used to calculate the weightage of FRs. The independence and information axioms were being deployed to validate the selection process.

The most important FRs being identified include “improve manufacturability and adaptability”, “improve ease of operation” and “provide strength and reliability”. The most important DPs are design unification on washer and outlet valve, material selection for improving the strength and reliability and pressure change to check whether the valve is withstanding the pressure using flow analysis. The best design alternative (A1) which deals with material substitution is being implemented in the case organization. The proposed methodology also enables contemporary design engineers to effectively select the best design among a set of alternatives in a fuzzy environment.

This paper presents the application of fuzzy axiomatic design for selecting the best design alternative of an overflow valve. The identified best design is being subjected to implementation in the case organization.

The industry decision makers were involved throughout the conduct of the study. Hence, the inferences derived from the study possess practical feasibility.

The application of the fuzzy axiomatic design approach for selecting the best design alternative of an overflow valve is the original contribution of the authors. Also, the practical feasibility of the approach is also being exemplified.

Many approaches are available and widely used to represent and design business processes. The axiomatic approach developed by Suh has not received much attention because it is taught primarily as a product design tool. In this paper, we share our experience in applying this approach to a product obsolescence procedure in a semiconductor‐manufacturing environment. The approach provides structure for analyzing process outcomes and the means used to achieve them, a framework that is valuable in business process design. The rules that form the foundation of the axiomatic approach allow the user to evaluate the quality of a proposed design in satisfying the problem or perceived need. We found that the axiomatic approach was an excellent tool for generating process designs and evaluating them, although some effort is required initially to understand the approach. In addition, because it is essentially a process mapping technique, turning the proposed design into reality requires organizational understanding and change.

The developer would find a tool very useful that systematically and reliably analyses customer taste in terms of functional requirements (FRs). Such a tool increases the reliability of the procedure the entrepreneur applies to chisel out a concrete project description based on a vision of the tastes of a specific group of customers. It also ensures that future agents do not distort the developer's specified FRs when design parameters are selected for the realization of the project. Axiomatic design is one method to support such a procedure. This tool was developed for the manufacturing industry but is applied here in the housing sector. Some hypothetical examples are presented.

Concurrent engineering can help manufacturing enterprises to achieve shorter time to market, reduced development costs, and high‐quality products. In order to realize the concurrent engineering, a lot of integrations are required according to parallel development technique, such as the integration of the people with different disciplines, the integration of the software of design methods and design data, and so on. This paper discusses the integration of the software of existing design methods for concurrent engineering by using axiomatic design. The results show that a very complicated software system for concurrent engineering becomes simple and consists of 26 modules corresponding to 26 design methods and one main module which contains all the junctional properties at each level. The task of the programmer for the integration becomes clear and is mainly programming for the main module.

The extremely high and ever‐increasing annual disposal rates of solid waste have caused a big problem for environmental protection in the world. Unlike the first environmental revolution in the 1970s, which was aimed at cleaning up hazardous waste from contaminated sites and natural resources, the second revolution is addressing waste reduction at the source. The solution of these problems cannot rely only on legislation and must be supported by effective methods. This goal can be achieved through the design of products that promote disassembly, reusing and recycling. In order to design environmentally friendly products in concurrent engineering, this paper applies axiomatic design to develop the integrated design guidelines with Axiom 1 (independence axiom) for generating acceptable designs and an evaluation score with Axiom 2 (information axiom) for determining better or the best design from the acceptable designs.

The purpose of this paper is to propose a novel weighting algorithm for fuzzy information axiom (IA) and to apply it to the evaluation process of 3D printers.

As a decision-making tool, IA method is presented to evaluate the performance of any design. Then, weighted IA methods are investigated and a new weighting procedure is introduced to the literature. Then, the existing axiomatic design methods and the proposed new method are classified into two groups: weighting based on information content and weighting based on design ranges. The weighting based on information content approach consists of four methods including pessimistic and optimistic approaches. The philosophy of the weighting based on design ranges is to narrow design ranges in order to decrease fuzziness in the model. To prove the robustness and the performance of the proposed weighting method, the results are compared with the existing methods in the literature. Then, the new approach is applied to evaluate 3D printers.

The results of the proposed study show that the proposed weighting algorithm has better performance than the old ones for IA. Therefore, the proposed weighting algorithm should be used for the weighting tool of IA thereafter.

An effective weighting method compatible with the philosophy of IA method has been proposed. Furthermore, the performances of 3D printers are compared by using the proposed method.

Performance measurement and management (PMM) is a key practice to drive modern businesses. The literature available in this field highlights a certain maturity regarding performance measurement systems, while few frameworks have been proposed for PMM, which is today's target. Hence this paper aims to focus on the development of a new framework for providing direction and guidance to an organization in measuring and managing its performance.

The proposed framework is developed based on the strengths of the axiomatic design (AD) and the analytical hierarchy process (AHP) techniques.

The framework proposed, namely “Business System Design Decomposition” (BSDD), offers a holistic approach to PMM, identifies cause‐effect relationships in business processes, measures performance versus stakeholders, and offers interlinking between performance indicators. The result is a deep understanding of the business environment and a real step forward for PMM.

The proposed framework for PMM needs to be validated through an empirical approach or by a clinical approach utilizing a case study.

The paper offers to academics, managers and practitioners a framework to understand, measure and manage business performance. Moreover, the application of the framework represents a learning process for the people involved in the project.

Little research is available regarding holistic performance measurement and management systems and the understanding of quantitative relations between performance indicators. By combining two existing methodologies, the framework proposed adds value to the existing body of knowledge and offers good insights for addressing future research.

The purpose of this paper is to describe an analytical approach – functional analysis – that can be used to evaluate the current design of an organization and identify alternative designs that may increase the ability to realize strategic and operational goals.

The approach described in this paper is based on key concepts in systems theory and axiomatic design theory (Suh, 1990, 2001). A brief case example is used to illustrate the practical application of the approach.

It is shown that functional analysis can be used to map the design of an organization and identify key design challenges (e.g. related to overlapping or conflicting functions).

The case study that is described is considered to be a pilot application of the approach as it is based on a limited number of interviews.

This paper should be relevant for applied researchers, management consultants, project managers and others who are analyzing the current structure of an organization and/or are involved in re-designing an organization.

Application of the functional approach may improve design processes and thereby enhance the effectiveness of social systems, including public and private sector organizations.

This paper describes how key concepts in systems theory and axiomatic design theory can provide the basis for a new framework for analyzing organization designs.

The Asia‐Pacific region has enjoyed robust economic growth in the last two decades and a substantial manufacturing network has been established in the region. The manufacturers in this region are now able to offer very good quality products cost‐effectively in the low‐end product category. But the recent regional financial turmoil, besides the increasingly integrated global economy and the emergence of regional trade pacts, has had an impact on the whole region and also presented many new challenges for businesses. Under this condition, manufacturers have to consider seriously how to win competition as they move into the new millennium. This paper applies axiomatic design to develop the guidelines for high value‐added activities. Manufacturers may discover their own weak points and develop their own core competencies or competitive priorities to drive change according to these guidelines.

The purpose of this paper is to contribute to the lean manufacturing literature by providing a roadmap for pull production control system (PCS) implementation.

Axiomatic Design (AD) methodology is used to develop the proposed pull PCS transformation roadmap.

The proposed design methodology is validated in a real-life manufacturing system. The results show that the proposed methodology significantly reduces the design efforts. The methodology effectively helps to choose the most appropriate pull PCS and determine its operational settings with respect to the manufacturing system characteristics.

This study presents only one case study to test the proposed methodology. In future studies, the validity of the proposed method can be further generalized in different manufacturing sectors by real-life implementations.

In many real-life lean production projects, companies do not know where to start or how to proceed, which leads to repetitive design efforts and inefficient designs. The developed roadmap of this study minimizes incorrect or imperfect design trials and increases the success of pull production transformation projects.

The implementation of pull PCS requires extensive design knowledge and expertise. Therefore, many real-life applications fail due to costly and time-consuming trial-and-error-based design efforts. In the literature, there is no comprehensive guideline or roadmap for pull PCS implementation. To address this issue, this study provides a novel holistic roadmap to transform an existing push PCS to pull. The proposed methodology uses AD principles and combines fragmentary studies of the pull production literature.