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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.

For the purpose of reconsidering arts marketing methodologies, this paper seeks to contemplate the axiomatic foundations of alternative arts marketing scholarship, to ask what conversation between arts and marketing they herald and to explore the consequent conceptual issues.

The paper reviews and evaluates the arts marketing literature.

The paper develops and presents four categories of arts marketing: the consumption of art; marketing as art; art as marketing; and marketing interpreting art.

The paper contributes to arts marketing paradigmatic and methodological debates by exploring the axiomatic foundations of this nascent field.

Unlike previous literature, this study offers a novel integrated fuzzy approach to the field of outsourcing decisions. The purpose of this paper is to use design ranges of evaluation criteria that satisfy the functional requirements (FRs) of decision makers to solve the outsourcing provider selection problem.

In this study, considering the expected significance of outsourcing evaluation criteria, and the FRs of decision makers expressed in linguistic terms, a robust multi-criteria decision-making (MCDM) tool based on the integrated use of fuzzy Step-wise Weight Assessment Ratio Analysis and weighted fuzzy axiomatic design methods is proposed for use in decision process.

The proposed method is applied to a Turkish chemical company. A sensitivity analysis is performed and the outcomes of the proposed integrated framework are compared with those of other MCDM methods such as fuzzy-based Technique for Order Preference by Similarity to Ideal Solution, fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje and fuzzy Multi-Objective Optimization on the basis of Ratio Analysis. This validates the usefulness and practicality of the proposed methodology.

The main contribution of this study is that it defines specific requirements that will assist company managers in eliminating alternatives that do not satisfy the needs and expectations of their company.

This paper compares the present study with other studies in the field of manufacturing. Additionally, it provides a well-documented case study, which makes the paper of value to researchers interested in the practical applications of MCDM methods.

In order to represent, analyze, optimize, and manufacture a component made of multi‐heterogeneous materials for high‐tech applications, a computer model of the heterogeneous component needs to be built first. Heterogeneous materials include composite, functionally graded materials, and heterogeneous materials with a periodic microstructure. Current modeling techniques focus only on capturing the geometric information and cannot satisfy the requirements from modeling the components made of multi‐heterogeneous materials. This paper develops a modeling method, which can be implemented by employing the functions of current CAD graphic software and can obtain the model including both the material information (about its microstructures and constituent composition) and the geometry information without the problems arising from too many data.

Some sociologists are more interested in using quantification as a source of legitima‐tion than in confronting mathematics as a central element of culture. Yet mathematics may be viewed as an institution with a normative core developing alongside experience of the physical world, susceptible of both “internalist” and “externalist” program‐mes of investigation.

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.

This paper aims to investigate the evolution of operations management (OM) research along two major dimensions from 1977 to 2003 and discusses possible paths for research progression in the future.

To identify OM research papers, a careful definition of OM research was constructed based initially on earlier work and then more precisely extended through empirical analysis. The research on OM builds on a previous study that took snapshots of OM research in 1977 and 1987. It then extends and updates it through a content analysis of 593 articles published in 1995 and 2003 in five journals recognized for publishing OM research.

The overall results illustrate that OM has evolved from heavily rationalistic, axiomatic analyses based on artificial reconstructions of reality toward more interpretive analyses based on natural observations of reality.

As the OM field continues to evolve, it is important to monitor and reassess published research to discern its changing dimensions. While this effort is not an exhaustive review of all OM research and does not consider all relevant journals and years, it does offer the “big picture” perspective needed for analyzing changing research approaches in the field.

The research provides an analysis of the evolution of knowledge creation within the field and possible paths for its future development. The practical implications are that as research becomes more interpretive and observation‐based, the findings will have more relevance for managers and the problems they face.

While several authors have analyzed the OM field relative to select research methods and journals, this paper provides a broader and more encompassing view of OM research along two important research dimensions: the researcher's framework and the source of the data.

The purpose of this paper is to state new formulation of the programme‐styled framework of pansystems research and related expansions.

Pansystems‐generalized extremum principle (0**: (dy/dx=0)**) is presented with recognitions to various logoi of philosophy, mathematics, technology, systems, cybernetics, informatics, relativity, biology, society, resource, communications and related topics: logic, history, humanities, aesthetics, journalism, IT, AI, TGBZ* <truth*goodness*beauty*Zen*>, etc. including recent rediscoveries of 50 or so pansystems logoi.

A keynote of the paper is to develop the deep logoi of the analytic mathematics, analytic mechanics, variational principles, Hilbert's sixth/23rd problems, pan‐axiomatization to encyclopedic principles and various applications. The 0**‐universal connections embody the transfield internet‐styled academic tendency of pansystems exploration.

The paper includes topics: history megawave, pansystems sublation‐modes, pan‐metaphysics, pansystems dialogs with logoi of 100 thinkers or so, and pansystems‐sublation for a series of logoi concerning the substructure of encyclopedic dialogs such as systems, derivative, extremum, quantification, variational principle, equation, symmetry, OR, optimization, approximation, yinyang, combination, normality‐abnormality, framework, modeling, simulation, relativity, recognition, practice, methodology, mathematics, operations and transformations, quotientization, product, clustering, Banach completeness theorem, Weierstrass approximation theorem, Jackson approximation theorem, Taylor theorem, approximation transformation theorems due to Walsh‐Sewell mathematical school, Hilbert problems, Cauchy theorem, theorems of equation stability, function theory, logic, paradox, axiomatization, cybernetics, dialectics, multistep decision, computer, synergy, vitality and the basic logoi for history, ethics, economics, society OR, aesthetics, journalism, institution, resource and traffics, AI, IT, etc.

Cybernetics and artificial intelligence are viewed primarily as being a major part of information science which is considered as we would any other scientific discipline. It is suggested that such a science must be capable of formalization. Language is considered as a major feature of science, where mathematics is a specialized part of language. The analysis of language in the form of semantics and pragmatics is regarded as essential to the understanding of any linguistic usage, particularly when some degree of precision is entailed. Discusses information science and its foundations in philosophy, logic and especially in semantics and pragmatics.

Autonomous maintenance (AM), one of the pillars of total productive maintenance (TPM), aims to achieve performance toward zero defects and zero breakdowns. AM system equipped with comprehensive lean tools provides continuous improvement during the AM activities. Despite its long duration, establishing a lean AM system with a robust guideline would provide significant benefits such as high quality and short lead time. Therefore, AM design approach should be provided in a holistic and detailed manner. This study aims to develop a framework for AM design, including preliminary, reactive, preventive and proactive steps using the axiomatic design (AD).

Requirements and technical parameters of the AM system are explored with AD. An extensive literature review and a real-life application are presented.

The proposed design was validated by adapting the proposed roadmap to a textile manufacturing system in Turkey. The application results justify the established AM system design with an average downtime improvement of 69.2% and the average elapsed time between two failures improvement of 65.1% for apparel department.

This study has the novelty of establishing an overall AM system design with all of its stages stepwise. It presents a comprehensive guideline in terms of integration of lean philosophy into AM design by generating maintenance-related use cases for lean tools. The developed approach facilitates creating and analyzing complex systems to improve maintenance implementations while reducing nonvalue-added operations.