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In order to solve the problem that small and medium-sized dyeing and finishing enterprises need mechanical equipment to realize the fabric packaging, the axiomatic design theory was used to analyze the functional requirements and structural design elements of the folding mechanism in the fabric packaging equipment according to the user's needs. The design scheme of the mechanism that complies with the axiom independence was proposed through coupling design analysis. A six-rod mechanism consisting of a crank slider mechanism and a cam mechanism in series on the right side was chosen as the design object. The displacement matrix method was used to obtain the dimensions of the crank slider mechanism, and the relationship between the slider position and the crank angle was analyzed. The laws of equal velocity motion and sinusoidal acceleration motion were selected to design the contour of the pushing stage and the contour of the return stroke respectively. Moreover, the motion simulation of the folding mechanism was carried out to obtain the angular displacement, angular velocity and angular acceleration curves of the folding plate. Analysis reveals that the motion characteristics of the folding plate meet the design requirements and satisfy the practical needs. [ABSTRACT FROM AUTHOR]

Maritime sector-based accidents are the source of major environmental disasters that place the sea environment at risk. It is critical to identify hazards and risk factors to avoid accidents and minimize losses. The importance of the Polar Regions in protecting the global ecosystem and nature has been identified as crucial. An environmental problem in the polar regions will affect the entire ecosystem. In this study, The Fuzzy-AHP approach was utilized to investigate the causes of the accidents and failures in polar regions. According to the findings, human error is the most crucial risk element, followed by technical, propulsion, radar detection failure, and improper watchkeeping technique risk factors. In the light of the findings, a suggested training course via an axiomatic design approach will reduce the ice navigation risk factors. [ABSTRACT FROM AUTHOR]

The product design process, fraught with uncertainties and ambiguities in its requirements and constraints, commonly traverses multiple stages, each emphasizing distinct design aspects. This engenders heterogeneity in decision-making criteria, rendering the effective integration of information from various stages of product design decision-making (PDDM) a pivotal task in identifying the optimal design solution. Surprisingly, limited research has attended to the challenge of consolidating such heterogeneous information across multiple PDDM stages. To bridge this gap, our study employs real numbers, interval numbers, and linguistic terms to capture the heterogeneous judgments of decision-makers. We fuse the Maximization Deviation Method with the analytic hierarchy process (AHP) for determining indicators’ weights, while decision-makers’ weights are derived through a dual consideration of uncertainty measure using fuzzy entropy and a distance-minimization model applied to the PDDM matrix for achieving consistency. Leveraging the advantage of axiomatic design, product design alternatives are evaluated based on their PDDM information content of PDDM matrices. Given the multistage nature of product design, stages’ weights are computed by assessing the information content and consistency degree of PDDM matrices at each stage. Ultimately, our approach achieves multistage heterogeneous decision-making fusion in product design through information axiom weighting. A case study involving the decision-making process for a specific numerical control machine design illustrates the efficacy of our method in integrating multistage heterogeneous PDDM data, yielding a comprehensive perspective on the viability of product design schemes. Results show that the ranking sequence of the product design schemes solidifies to x3 > x2 > x1 in stages 2 and 3 of PDDM, diverging from the initial order observed in stage 1 (x2 > x3 > x1), while the fused result from the multistage heterogeneous PDDM analysis aligns with the later stages’ rankings, indicating the credibility and persuasiveness are fortified. This methodology thus offers a robust framework for synthesizing and navigating the uncertainties and complexities inherent in multistage heterogeneous PDDM contexts.

In response to the problem of bowl seedling detachment caused by the shaking of the transplanting machine in plant factories, this paper proposes a physical entity monitoring method for the digital twin (DT) plant factory transplanting system. The method is used to analyze the vibration signals of the transplanting machine under different operating conditions and explore the optimal working conditions. Firstly, a demand analysis for the physical entity of the DT plant factory transplanting system is conducted, focusing on practical applications. Then, an optimal deployment plan is designed based on the axiomatic design (AD) theory. Subsequently, a comparative analysis of the operating conditions of the plant factory transplanting equipment is carried out using data-driven approaches. Finally, the optimal working condition parameters are determined by comparing the modal vibration power spectral density of the transplanting equipment under different operating conditions. The results show that the maximum amplitude occurs in the Z-axis, with a magnitude of 2.1 m/s2. By comparing the cloud maps, it is evident that the vibration trends in the Z-axis and X-axis above the transplanting robotic arm are more pronounced compared to the Y-axis. This indicates that under the operating condition of transplanting 3000 plants per hour, a high transplanting efficiency can be maintained, and the vibration signals in the XYZ-axis above the transplanting robotic arm are relatively smooth, making them suitable for transplanting operations. This study combines digital twin technology to analyze the vibration signals of the plant factory transplanting machine under different operating conditions and explore the optimal working conditions. Compared to traditional monitoring platforms, this method facilitates the real-time visualization of different operating conditions of the transplanting machine in a virtual mapping, providing a more intuitive reflection of the equipment operation status. [ABSTRACT FROM AUTHOR]

With the development of society, the negative impact of furniture waste on the environment has become increasingly prominent. Therefore, it has become essential to integrate sustainable design principles into furniture manufacturing. This integration can significantly extend the service life of furniture products and reduce the adverse impact on the environment. To achieve this goal, it is necessary to actively conduct market research and an in-depth understanding of users' needs for sustainable furniture design. Among them, applying the AHP-QFD-AD method to develop a comprehensive design evaluation model is a practical way. This model can translate user requirements into explicit functional requirements and further refine them into specific design parameters. Accurately reflecting user needs in product design greatly improves the accuracy of design evaluation, thereby reducing environmental impact throughout the product life cycle. By implementing this integrated model, we can move furniture products in a sustainable direction. In addition, this method can also enhance the connection between the user and the product, extend the service life of the product, and reduce the waste of furniture. Using sustainable shelving development as an example, we validate the proposed method model. This study reduces the harm of discarded furniture to the environment, providing some support for sustainable furniture design practices. [ABSTRACT FROM AUTHOR]

Francesco Berto proposed a logic for imaginative episodes. The logic establishes certain (in)validities concerning episodic imagination. They are not all equally plausible as principles of episodic imagination. The logic also does not model that the initial input of an imaginative episode is deliberately chosen. Stit-imagination logic models the imagining agent's deliberate choice of the content of their imagining. However, the logic does not model the episodic nature of imagination. The present paper combines the two logics, thereby modelling imaginative episodes with deliberately chosen initial input. We use a combination of stit-imagination logic and a content-sensitive variably strict conditional à la Berto, for which we give a Chellas–Segerberg semantics. The proposed semantics has the following advantages over Berto's: (i) we model the deliberate choice of initial input of imaginative episodes (in a multi-agent setting), (ii) we show frame correspondences for axiomatic analogues of Berto's validities, which (iii) allows the possibility to disregard axioms that might be considered not plausible as principles concerning imaginative episodes. We do not take a definite stance on whether these should be disregarded but give reasons for why one might want to disregard them. Finally, we compare our semantics briefly with recent work, which aims to model voluntary imagination, and argue that our semantics models different aspects. [ABSTRACT FROM AUTHOR]

Matthias Schröder has asked the question whether there is a weakest discontinuous problem in the topological version of the Weihrauch lattice. Such a problem can be considered as the weakest unsolvable problem. We introduce the discontinuity problem , and we show that it is reducible exactly to the effectively discontinuous problems , defined in a suitable way. However, in which sense this answers Schröder's question sensitively depends on the axiomatic framework that is chosen, and it is a positive answer if we work in Zermelo–Fraenkel set theory with dependent choice and the axiom of determinacy $\mathsf {AD}$. On the other hand, using the full axiom of choice, one can construct problems which are discontinuous, but not effectively so. Hence, the exact situation at the bottom of the Weihrauch lattice sensitively depends on the axiomatic setting that we choose. We prove our result using a variant of Wadge games for mathematical problems. While the existence of a winning strategy for Player II characterizes continuity of the problem (as already shown by Nobrega and Pauly), the existence of a winning strategy for Player I characterizes effective discontinuity of the problem. By Weihrauch determinacy we understand the condition that every problem is either continuous or effectively discontinuous. This notion of determinacy is a fairly strong notion, as it is not only implied by the axiom of determinacy $\mathsf {AD}$ , but it also implies Wadge determinacy. We close with a brief discussion of generalized notions of productivity. [ABSTRACT FROM AUTHOR]

Copyright of Food & Machinery is the property of Food & Machinery Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Pollination is a crucial ecological process with far-reaching impacts on natural and agricultural systems. Approximately 85% of flowering plants depend on animal pollinators for successful reproduction. Over 75% of global food crops rely on pollinators, making them indispensable for sustaining human populations. Wind, water, insects, birds, bats, mammals, amphibians, and mollusks accomplish the pollination process. The design features of flowers and pollinators in angiosperms make the pollination process functionally effective and efficient. In this paper, we analyze the design aspects of the honeybee-enabled flower pollination process using the axiomatic design methodology. We tabulate functional requirements (FRs) of flower and honeybee components and map them onto nature-chosen design parameters (DPs). We apply the “independence axiom” of the axiomatic design methodology to identify couplings and to evaluate if the features of a flower and a honeybee form a good design (i.e., uncoupled design) or an underperforming design (i.e., coupled design). We also apply the axiomatic design methodology’s “information axiom” to assess the pollination process’s robustness and reliability. Through this exploration, we observed that the pollination process is not only a good design but also a robust design. This approach to assessing whether nature’s processes are good or bad designs can be valuable for biomimicry studies. This approach can also inform design considerations for bio-inspired innovations such as microrobots.

Building information modeling (BIM) has been attracting increasing attention in the architecture, engineering, and construction (AEC) industry in recent years. The wide spread of BIM marks the transition from 2D and paper-based archiving to 3D and digital archiving of project information. However, the commonly used centralized managing approaches for BIM data have high risks of data loss and data tampering. With cryptographic algorithms and distributed databases, blockchain has the potential to address the limitations of data loss and trust in conventional BIM management methods. Therefore, this paper proposes a blockchain-based framework for digital archiving of BIM data. In this paper, the axiomatic design approach is utilized to design the archiving framework in order to systematically map the design parameters with the functional requirements and minimize the information contents. The proposed framework contains five modules, including the BIM module, building plan approval (BPA) module, building data simplification (BDS) module, distributed data storage (DDS) module, and digital document verification (DDV) module. Hyperledger Fabric is utilized to develop the blockchain system based on the proposed framework. In the end, a simple BIM model with 240 components and around 11,000 lines of content in the Industry Foundation Classes (IFC) file is taken as an illustrative example to validate the proposed blockchain approach. By storing the BIM model on to the developed blockchain, it is found that each transaction of a blockchain can store over 5000 lines of IFC contents with 0.09 s of uploading latency. The results show that the proposed blockchain-based approach can effectively and securely archive BIM data.

Conceptual design has a significant impact on performance of the final product. Existing methods of the concept design such as quality function deployment and axiomatic design cannot decide product structures based on function requirements (FRs) to meet product specifications. An effective method is proposed to decide the product structure based on relations of FRs and physical structures using the WordNet hierarchy and association relation in this paper. Physical attributes (PAs) of FRs are searched based on similarity of FRs and functions of existing product structures. Suitable product structures are decided by comparing PAs of design structures with PAs of FRs. Relations between structures and FRs are defined by the association relation to decide the best product structure from all potential solutions using a pairwise comparison method. The proposed method is verified in a case study of the concept design of upper limb rehabilitation devices. [ABSTRACT FROM AUTHOR]

A pneumatic seed metering device is required for the high speed and intelligent variable operation in recent years. However, the existing complicated transmission and pneumatic system and mechanical structure cannot fully meet the largescale production of pneumatic supply with the high stability, due mainly to the pressure loss caused by a curved pipe. In this study, the invention problem problem-solving theory (TRIZ) and axiomatic theory design (AD) methods were applied to carry out the innovative design of a pneumatic seeding device for rapeseed. Firstly, the seeding maturity prediction and evolution were used to clarify the development stage, evolution path, and potential of seed metering using TRIZ technology. The existing seeding technology was in a recession recovery period, while the evolution of the technology system was in line with the Scurve evolutionary law and evolutionary model. The future seed metering device was preferred for the integration in the simple, microscopic, controllable, and automated evolutionary path. Secondly, the design process model was established using the integration of TRIZ and AD. TRIZ tools were introduced in the process of mapping functional to structural domains. Among them, the "conflict resolution principles" was adopted to solve the contradiction and conflicts of the transmission and pneumatic systems in the existing seed metering device. The invention principles were selected to optimize the structural parameters. Finally, the motor was utilized to directly drive the seeding disk and the built-in air chamber of the fan. The original design matrix was developed using independent design axioms and the minimum entropy. An innovative system was designed to integrate the motor- fan with the pneumatic seed metering device for rape. The trial production and processing were performed on two technical implementation schemes. The motor fan was determined to arrange on the same side after optimization, particularly for the better airtightness and structural stability. The integrated motor drive was used to simplify the transmission, whereas, the integrated fan was to eliminate the gas transmission pipe, in order to reduce the wind pressure loss. As such, the improved transmission and pneumatic system were required only a small space without the additional power. The test results show that the integrated seed metering device was fully meetmet the requirements of single seed metering. A better performance was achieved in the qualified index is more than 90%, even reached reaching up to 99.82%, when the absolute value of suction negative pressure was 1.0-2.0 kPa and the working speed was less than 7 km/h. The required pressure for the qualified index of 90% was lower than before. The innovative design of the pneumatic seed metering device was integrated the power and pneumatic sources, which was were in the line with the technological system evolution path, individual start and stop of the seeding unit without any influence on the rows. More importantly, the mechanical structure and transmission were better matched for the development trend of intelligent variables. This finding can provide an innovative design idea and references for the design of a pneumatic seed device. [ABSTRACT FROM AUTHOR]

Copyright of Praxis Filosófica is the property of Universidad del Valle and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article is the third in our series aimed at presenting the main branches of philosophy as axiomatic theories. The research process on social philosophy led us to present our results in two separate parts: the axiomatic system of the general concept of social philosophy and the axiomatic system of the social philosophy of modernity (capitalism, socialism, and their convergence). Each of these two parts comprises its axioms, definitions, theorems, and proofs of theorems. The axiomatic form of building the theory appeared helpful for identifying the main innate social features of modern man. This study suggests also the formula for the optimal organization of modern society. [ABSTRACT FROM AUTHOR]

The Indian Railways is India's biggest employer and undeniably influences the country's transportation network, economy, and social and cultural systems. The network is split into zones for operational reasons. It is vital to evaluate these railway networks to identify their strengths and shortcomings and to improve their performance. Past works often use Data Envelopment Analysis to evaluate railway services. Our contribution lies in the inclusion of several aspects not previously considered, such as (i) both tangible and intangible criteria, (ii) the hierarchical nature of the problem, and (iii) additional useful criteria and data to analyze the performance of the zones, including physical assets, operating ratio, accidents, comfort, travel experience, flexibility, transparency, etc. We use the novel Hierarchical Fuzzy Axiomatic Design method to evaluate the performance of sixteen zones in the Indian Railways since it suits our problem well. We find that the Southern Railway zone performs best, while the Northeast Frontier zone is ranked last. We also identify the strengths and weaknesses of all railway zones. [ABSTRACT FROM AUTHOR]

Remanufacturing used products is an important technological approach in sustainable development and circular economy. Meanwhile, redesign is the key component of remanufacturing, as it can innovate the function and structure of used products. However, due to the uncertain quality, variety, and small batches of the returned used products for remanufacturing, it is difficult to generate a sound redesign scheme to satisfy the customer demand quickly and dynamically. In addition, it is unpredictable whether the redesign scheme is suitable for the remanufacturing processes, which may lead to additional remanufacturing costs. In order to improve the efficiency of design and obtain the optimal design scheme, it is necessary to use intelligent technology to quickly generate and optimize the redesign scheme. To address this, an intelligent redesign method for used products based on the digital twin is proposed in this paper. Digital twin (DT) technology can connect the physical world with the virtual world and use the virtual model to simulate the redesign process, which is conducive to the dynamic adjustment and optimization of the redesign scheme. Firstly, the redesign process framework is constructed based on the axiomatic design (AD) method, and the redesign features of the used products are analyzed to determine the redesign problems. Then, based on the connotation of a digital twin, an intelligent redesign framework is constructed, which provides detailed guidance for building the digital-twin-driven redesign system. Henceforth, the application of the redesign process based on a digital twin is discussed, a technical approach of the digital-twin-driven redesign is proposed, and data processing methods, such as data cleaning, data integration, and data analysis, are used to realize the redesign scheme decision. Finally, the feasibility of this method is verified by the redesign of a used clutch. [ABSTRACT FROM AUTHOR]

Interval games are an extension of cooperative coalitional games, in which players are assumed to face payoff uncertainty. Characteristic functions thus assign a closed interval instead of a real number. This study revisits two interval game versions of Shapley values (i.e., the interval Shapley value and the interval Shapley-like value) and characterizes them using an axiomatic approach. For the interval Shapley value, we show that the existing axiomatization can be generalized to a wider subclass of interval games called size monotonic games. For the interval Shapley-like value, we show that a standard axiomatization using Young's strong monotonicity holds on the whole class of interval games. [ABSTRACT FROM AUTHOR]

There is a combinatorial explosion of alternative variants of an assembly design owing to the design freedom provided by additive manufacturing (AM). In this regard, a novel virtual reality-based decision-support framework is presented herein for extracting the superior assembly design to be fabricated by AM route. It specifically addresses the intersection between human assembly and AM hence combining design for assembly, and design for additive manufacturing using axiomatic design theory. Several virtual reality experiments were carried out to achieve this with human subjects assembling parts. At first, a two-dimensional table is assembled, and the data are used to confirm the independence of non-functional requirements such as assembly time and assembly displacement error according to independence axiom. Then this approach is demonstrated on an industrial lifeboat hook with three assembly design variations. The data from these experiments are utilized to evaluate the possible combinations of the assembly in terms of probability density based on the information axiom. The technique effectively identifies the assembly design most likely to fulfill the non-functional requirements. To the authors' best knowledge, this is the first study that numerically extracts the human aspect of design at an early design stage in the decision process and considers the selection of the superior assembly design in a detailed design stage. Finally, this process is automated using a graphical user interface, which embraces the practicality of the currently integrated framework and enables manufacturers to choose the best assembly design. [ABSTRACT FROM AUTHOR]

logistics occupies an important place in production activities and directly affects the duration of production and product quality. Considering the limited number of studies in the literature on production logistics, which is so important, it is seen that the studies are related to the determination of storage strategies, selection of storage vehicles, structuring of material transport movements, selection of material transport vehicle types, cellular layout, structuring of intracellular and intercellular movements. The use of fuzzy and weighted fuzzy information axiom, which is a fuzzy-based selection approach, for transport activities in industrial cells will be a new study in the literature. The information axiom, which is included in the design methodology with axioms, was used to determine the simplest internal logistics transportation method. An application study was carried out in the factory of an automotive supplier company. The most suitable option among alternative transport methods with different criteria was determined by applying fuzzy information axiom and weighted fuzzy information axiom methodologies. With these approaches, it has been tried to find the simplest and most efficient cell feeding method that provides the most customer expectations. The differences between the current internal logistics transportation method and the proposed lean internal logistics transportation method are given. In order to help decision makers, make decisions without hesitation, the study has been strengthened with sensitivity analysis. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to support total productive maintenance implementers by providing a roadmap for autonomous maintenance (AM) preparation phase. Design/methodology/approach: The authors use the axiomatic design (AD) methodology with lean philosophy as a paradigm. Findings: This is an exploratory research to find the most important factors in AM preparation phase. A decoupled AD design ensures an effective usage of training within industry (TWI) and the introduction of standardized work (SW). TWI provides value in importance it assigns to leaders, with its "train the trainers" approach and in preparing a training program. Besides being an effective training method, TWI job instruction (TWI JI) provides needed information infrastructure to front load operators SW and equipment trainings. Research limitations/implications: Although AD, TWI and lean artifacts are generally field proven, the research is limited due to the lack of an industrial application. Practical implications: In many real-life projects, companies do not know where to start and how to proceed, which leads to costly iterations. The proposed roadmap minimizes iterations and increases the chance of project success. Originality/value: The authors apply AD for the first time to AM preparation phase despite it is used in the analysis of lean manufacturing. AD permits to structure holistically the most relevant lean manufacturing solutions to obtain a risk free roadmap. TWI has emerged as a training infrastructure; TWI JI-based operator SW training and the adaptation of JI structure to equipment training are original additions. [ABSTRACT FROM AUTHOR]

To achieve a good architecture for information flow in a contract capable of withstanding environmental disruptive events, the present study employs systems engineering approaches and proposes a reliable design for the architecture by modularising the concerned architecture. The study argues that the 'modularisation' can avoid propagation of damage(s) from one component to another. The authors present a methodology for designing a reliable architecture for information flow in a contract by utilizing design structure matrix (DSM) methodology and axiomatic design theory (ADT). Results from the application of the method showed that modularisation was increased and the overall reliability was significantly enhanced [ABSTRACT FROM AUTHOR]

For the first time in the history of philosophy, this article presents an axiomatic system of philosophical ontology intending to demonstratively solve "eternal" questions related to the most fundamental problems of human cognition of the natural (material) world. The corresponding system of axioms and definitions of philosophical ontology is proposed. Proofs of the first 20 theorems of axiomatic ontology are presented as solutions to traditional and modern aporias (incompatible alternatives) of ontology. Finally, the principles and most general laws of modern physics, including the Microworld and cosmology, are used as an empirical base of the theoretical system of philosophical ontology. [ABSTRACT FROM AUTHOR]

The Axiomatic Design (AD) supports decision-making based on the axioms of independence and information. In the engineering design activity, the designer must make early decisions that impact the success of the project. These decisions are of paramount importance in the design of one-off products. In these products, one must make decisions in the early design phases, with scarce data about the product that will undeniably affect the solution. Applying the information axiom requires data from the alternative solutions under consideration that for one-off products are most often non-existent in the conceptual phase of the design. Additionally, the design process is highly conditioned by existing constraints, which significantly influence the outcome. This work suggests selecting design parameters (DP) for one-off products from different sets of proposals that comply with the independence of functional requirements (FR). AD design follows a hierarchical decomposition process from a conceptual to a detailed design. The proposed method allows selecting the DPs among the set of alternatives by quantifying the degree of conflict each solution presents to the constraints. It shows the first step to define the DPs, at each level of decomposition of the AD process. It is the first step to establish a zig in AD or, otherwise, a way to find a solution in the conceptual phase. It applies to one-off products – any product with one chance to be right. The paper applies this method to the DP selection of a manipulation device. [ABSTRACT FROM AUTHOR]

The authors structure the field of over-design, over-specification, and over-requirement (OOO) drawing from extant knowledge related to innovative managerial procedures in manufacturing systems, project portfolio management, and performance management. More specifically, we propose allowing the dominant perspectives of OOO and paving the way towards a coherent recognition foundation of innovative strategies in manufacturing systems. This lends itself to an analysis of innovative phenomena in design and production systems that generate OOO and helps to understand what the effects of the OOO on business performance are. The clothing industry in Italy was chosen as a target context because many innovative pioneering medium sized enterprises (MSEs) were operating in the industry. Because of the exploratory nature of the research, a multiple case study approach is adopted in this study. Drawing from extant managerial literature, the proposed structure shows which business model objects and interactions within R&D-manufacturing-marketing activities should be considered when engaging in managing innovative and temporary project portfolio. [ABSTRACT FROM AUTHOR]

The shift from product ownership to integrated solutions (Product-Service Systems (PSSs)) is expected to lead to a higher customer satisfaction in many cases compared to providing products and services separately. PSS providers are required to add more value to the products they offer, as well as to augment and diversify the services related to these products. To deal with this complex task, this paper proposes a practical methodology to support manufacturers in designing services related to the proper functioning of their products fulfilling customers' needs and expectations. This approach is based on the synergic use of Quality Function Deployment for PSS (QFDforPSS), Axiomatic Design (AD) and the service blueprint tools, providing a correlation between the customers' expectations, the PSS components and the PSS modules. The methodology was verified by means of a service modularisation for PSS at a company operating in the biomedical sector. While the proposed approach needs to be validated through further studies in different contexts, its positive results in reducing both the risk of overdesigning and the possibility of creating design conflicts can contribute practically to the scientific knowledge on the development of integrated solutions. [ABSTRACT FROM AUTHOR]

In the design process, design changes are unavoidable due to the need to meet customers' requirements and support future change through technology development. Although components are supposed to be renewed within existing designs, these changes can propagate into other parts due to their interfaces. Propagation makes it difficult for a designer to identify these changes. This study aimed to introduce the integration matrix (I-DSM), an approach to the design of mechatronic products that involves determining changes in existing products with an axiomatic design. Reverse zigzagging was used to break down the entire product to its lowest level. A design matrix (DM) was constructed and then transformed into a design structure matrix (DSM). The I-DSM consists of three layers: information technology, electrical technology, and mechanical technology. The breadth-first search (BFS) method was employed to ascertain the change propagation path in order to consider it. After this, the changing workload was analyzed, and the decision-making process was used to determine the best possible option. Finally, an automatic guided vehicle was used in a case study to demonstrate the use of this methodology by showing how changes in a product can affect it and how a designer can prioritize activities. [ABSTRACT FROM AUTHOR]

Intelligent drilling technologies, such as downhole signal and power transmission, can be used to measure key downhole data and obtain thermal insulation cores. This technology is of great significance for the accurate assessment of deep oil and gas resources, the reconstruction of oil and gas resource extraction systems, and the realization of efficient, intelligent and safe resource extraction. In order to meet the needs of underground communication and power supply for active thermal insulation coring, a new type of conductive center pole was innovatively designed. Using the theory of innovation problem solving (TRIZ) and axiomatic design (AD) to analyze the functional requirements of the conductive central pole, establish and solve the original design matrix. Based on the axiomatic design theory, the non-coupling matrix is decoupled by using the TRIZ solving tool, and the key indicators of the design scheme that meet the independent axiom are evaluated. In view of the contradictions and conflicts, the TRIZ solution tool was continually used to solve, optimize and obtain a design scheme with a higher comprehensive evaluation. Thus, the self-adaptive non-winding connection and power conduction of the conductive center pole was realized. Finally, the strength of the newly designed center pole was checked, and a physical prototype was made. Pre-research experiments on its conductivity and electrothermal conversion efficiency were carried out under different simulation environments to verify its conductivity. It provides innovative solutions to related problems in the field of deep insulation coring and intelligent drilling and provides effective technical means for related needs. [ABSTRACT FROM AUTHOR]

Nowadays, smart and environmentally friendly products are gaining traction in consumers' purchase intentions. Not only will it reduce the adverse impact on the environment, but it also provides convenience and efficiency due to the improved functionality. On the other hand, companies need to evaluate how to effectively integrate these features into their design process. Therefore, this research aims to provide a systematic design methodology utilizing an axiomatic design approach that will incorporate the exploration of circular design and smart design aspects. To achieve this, a literature review was conducted to identify the specific circular and smart design aspects that will serve as input for the design process. Then, customer preferences on the existing products were collected and mapped into the design aspects. The output of which will be translated into the product's functional requirements, and finally, overall design alternatives. To assess the effectiveness of the proposed methodology, a case study for a water dispenser was presented. Results show that developed design was better than the existing models available in the market. With that, the proposed product innovation process can be used in practical application and can be used as a solution to increase customer satisfaction and offer companies a competitive advantage. [ABSTRACT FROM AUTHOR]

Shoes designed for the elderly can reduce the risk of injury associated with falling. Pinpointing the specific needs of users and directions for product improvement allows companies to maximize the allocation of limited resources. However, user evaluation of important criteria is often ambiguous and uncertain. This paper contributes to solving this issue through the development of a two-stage user-satisfaction framework with a fuzzy-Six Sigma index and fuzzy axiomatic design (FAD). In the proposed method, we consider sampling uncertainty, analyze the vagueness of natural-language evaluations, and explore the match between company capabilities and user satisfaction. This framework highlights both the advantages and disadvantages of current shoe designs for the elderly, and a case study illustrates the applicability of the framework. Additionally, result comparison and sensitivity analysis are conducted to verify the reliability and effectiveness of the proposed method. Finally, the managerial implications, conclusions and limitations of the study are discussed. [ABSTRACT FROM AUTHOR]

Copyright of China Mechanical Engineering is the property of Editorial Board of China Mechanical Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, we introduced the integration of well-known TD tools that have been applied in many fields including product development, project management, many engineering disciplines, design of the organization, sustainable development, social issues, environmental issues, and others across many industries including automotive, aerospace, telecom, semiconductor, defense, transportation, energy, healthcare, agriculture, and more. The main objective of this paper is to introduce a new transdisciplinary (TD) engineering-based integrated approach to designing and developing a 3D silicone printing machine (SPM). Factors in designing and developing 3D SPM were simplified by considering the main factors affecting the performance of 3D SPM. Results are discussed and the modular 3D silicone printing machine design was presented. Using the Axiomatic Design (AD) tool, components of each module were identified to satisfy the functional requirements of the 3D SPM. Six TD-integrated tools were used to design the 3D SPM in this research. They are Quality Function Deployment (QFD), House of Quality (HOQ), TRIZ, AD, Interpretive Structural Modeling (ISM), and Design Structure Matrix (DSM). [ABSTRACT FROM AUTHOR]

Topology optimization has been identified as a powerful tool to improve aircraft structures for many years. Yet, innovative layouts have not been successfully implemented in commercial aircraft for several reasons. One reason identified by our research group is the lack of design constraints during topology optimization, such as buckling stability, which yields complex solutions that are not easily manufacturable. Second, the complexity of the resulting layouts makes integration with other systems highly challenging. With respect to these challenges, we propose a new heuristic layout optimization process: complexitydriven layout exploration for aircraft structures (CD-LEAS). The new process addresses the challenges of complexity and nonlinear constraints, such as buckling, in aircraft structure layout optimization. The novelty of CD-LEAS comes from the integration of a relative complexity metric as a driver to navigate the design space efficiently. Two case studies of commonly used stiffened panels are carried out to showcase the performance of the process. The results show that using complexity to navigate an explicit design space allows our process to quickly output a family of simple, light, stiff and buckling-resistant layouts. [ABSTRACT FROM AUTHOR]

This article is the first complete axiomatic presentation of the theory of cognition (epistemology). It presents the axioms of the theory of cognition, the definitions of the concepts and categories used in the text of the theory, and also provides detailed proofs of the propositions (theorems) arising from them. Based on this axiomatic system, evidencebased solutions to the problems (aporias) of the theory of cognition are proposed. This system of axiomatic epistemology can serve as a step in building a rigorous scientific theory of human cognition. The axioms of the proposed system follow the Aristotelian general understanding of the essence of human cognition. [ABSTRACT FROM AUTHOR]

Due to the ever-stringent regulatory standards and financial pressure imposed by governments worldwide, public universities are striving to produce and deliver high quality knowledge by leveraging various organizational and technological tools. Despite their prominence and proliferation, research information management systems (RIMS) cover only the research management life-cycle of the institution and thereby presume that the scholars are actively engaged in research and are committed to feeding the system with accurate research data, which may not be the case at public universities. In this paper, we propose to leverage Axiomatic Design and Research Information Systems to support the entire research production life-cycle. The architecture of the proposed system is described in terms of a set of software modules, which may be incorporated into an open-source or a commercial Current Research Information System (CRIS). This will extend the CRIS functionality to cover the research production life-cycle in addition to the research management life-cycle making it well suited for developing research capacity at public universities.

Topology optimization has been identified as a powerful tool to improve aircraft structures for many years. Yet, innovative layouts have not been successfully implemented in commercial aircraft for several reasons. One reason identified by our research group is the lack of design constraints during topology optimization, such as buckling stability, which yields complex solutions that are not easily manufacturable. Second, the complexity of the resulting layouts makes integration with other systems highly challenging. With respect to these challenges, we propose a new heuristic layout optimization process: complexity-driven layout exploration for aircraft structures (CD-LEAS). The new process addresses the challenges of complexity and nonlinear constraints, such as buckling, in aircraft structure layout optimization. The novelty of CD-LEAS comes from the integration of a relative complexity metric as a driver to navigate the design space efficiently. Two case studies of commonly used stiffened panels are carried out to showcase the performance of the process. The results show that using complexity to navigate an explicit design space allows our process to quickly output a family of simple, light, stiff and buckling-resistant layouts.