Axiomatic Design Research Articles

Blockchain-Based Architecture for a Sustainable Supply Chain in Cloud Architecture

Blockchain technology, as a well-known technology in financial spaces, has many advantages in non-financial industries and supply chains. Two of the main benefits of blockchain technology are smart contracts and distributed decision-making processes. These features can be especially useful in implementing Industry 4.0. Moreover, this technology can increase productivity in supply chains by enhancing transparency, reducing operational costs, and improving monitoring and supervision throughout the lifecycle of products. In this paper, we introduce a blockchain-based architecture for a supply chain in cloud architecture. This approach leads to the more efficient implementation of Industry 4.0 and increases sustainability in the supply chain. In this study, we aim to investigate whether the proposed blockchain-based platform affects sustainability in the supply chain. From a sustainability perspective, we solve the large-scale problem of a cloud-based production–distribution system in centralized and distributed states. The results of the solution indicate a significant improvement in the decentralized state compared to the centralized state and this improvement enhances sustainability in the supply chain. We verify the proposed model by considering an axiomatic design algorithm. In the distributed model, the system cost is reduced by up to 45%, and the solving time is decreased by approximately 51% in pessimistic conditions and by about 87% in optimistic conditions. These improvements directly enhance economic and environmental sustainability, resulting in reduced energy consumption.

Virtual reality-based assembly-level design for additive manufacturing decision framework involving human aspects of design

Abstract 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.

A systematic comparison and evaluation of building ontologies for deploying data-driven analytics in smart buildings

Ontologies play a critical role in data exchange, information integration, and knowledge sharing across diverse smart building applications. Yet, semantic differences between the prevailing building ontologies hamper their purpose of bringing data interoperability and restrict the ability to reuse building ontologies in real-world applications. In this paper, we propose and adopt a framework to conduct a systematic comparison and evaluation of four popular building ontologies (Brick Schema, RealEstateCore, Project Haystack, and Digital Buildings) from both axiomatic design and assertions in a use case, namely the Terminological Box (TBox) evaluation and the Assertion Box (ABox) evaluation. In the TBox evaluation, we use the SQuaRE-based Ontology Quality Evaluation (OQuaRE) framework and concede that Project Haystack and Brick Schema are more compact with respect to the ontology axiomatic design. In the ABox evaluation, we apply an empirical study with sample building data that suggests Brick Schema and RealEstateCore have greater completeness and expressiveness in capturing the main concepts and relations within the building domain. The results indicate that there is no universal building ontology for integrating Linked Building Data (LBD). We also discuss ontology compatibility and investigate building ontology design patterns (ODPs) to support ontology matching, alignment, and harmonisation.

Structural Design of Small-size At-bit Azimuthal Gamma Geosteering Tool Based on Axiomatic Design

To revitalize old wells and reduce costs, sidetracking has become an effective technical means to excavate the remaining oil reservoirs of old wells. The small-size at-bit azimuthal gamma geosteering tool designed in this paper is used for sidetracking. First, according to axiomatic design, we determine each functional module. Second, according to the function module, we design the structure of the geosteering tool. Finally, we conduct finite element strength analysis on the geosteering tool. The results are as follows: the geosteering tool realizes the structural design under limited space; its maximum stress is lower than the yield strength of the non-magnetic drill collar under the actual working conditions. The structure meets the strength requirements. The research method based on the axiomatic design proposed in this paper makes a beneficial exploration of the structural design of geosteering tools in the petroleum industry.

Development an instructional design model selection approach for maritime education and training using fuzzy axiomatic design

Development an instructional design model selection approach for maritime education and training using fuzzy axiomatic design

Using an Axiomatic Design Approach to Develop a Product Innovation Process with Circular and Smart Design Aspects

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.

An Integration Matrix for Investigating the Impact of Design Changes in Mechatronic Products

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.

Innovative Design of a Conductive Center Pole for an Active Thermal Insulation and Coring System in Deep Rock

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.

Missing the city for buildings? A critical review of pan-scalar map generalization and design in contemporary zoomable maps

ABSTRACT Most of the maps used today are what we call pan-scalar maps, i.e. interactive zoomable applications comprised of numerous maps of a particular area at different zoom levels (i.e. scales). We argue that such maps require a pan-scalar map design, which may differ significantly from established map design axioms and standards. This review is twofold. First, it reviews current practices in pan-scalar map design. Second, it summarizes and synthesizes literature about pan-scalar map design, as well as human-computer interaction (HCI) best practices for pan-scalar maps. The review of practices is based on a ScaleMaster analysis of the design of three popular pan-scalar maps: Google Maps, OpenStreetMap, and France's IGN Classic. Discussion centers on both stellar and subpar contemporary pan-scalar map design practices to help guide future practical pan-scalar designs and research on pan-scalar maps broadly.

Innovative Approach to Design and Development of a 3D Silicone Printing Machine Using Transdisciplinary Integrated Design Tools

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).

Development of Product Supply Chain Strategy Using BMC and Axiomatic Design

Product is an essential industrial manufacturing that creates high economic value worldwide. Global entrepreneurs’ lack of marketing management led to a severe problem in the manufacturing preparation and control of the supply chain. Therefore, this research aims to develop the product supply chain using axiomatic design and a model canvas to generate a product manufacturing model. A particular case study proved the results. The result showed a suitable model for the product supply chain that can increase entrepreneurs’ profitability through the matrix design. As a result, a suitable model was created for Thailand’s industry. For this purpose, axiomatic design was applied to create a model that could increase supply chain efficiency. In addition, the implications provide capacity and readiness for manufacturers. The output of the appropriate model allows for developing and improving the supply chain strategy according to the Industry 4.0 strategy. However, this model should be tested in manufacturing enterprises to increase reliability. According to the applied methods and described management tools, entrepreneurs can operate their enterprises sustainably and gain market profitability in the future.

An approach to the selection of design parameters based on conflict with constraints

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.

A set-based-inspired design process supported by axiomatic design and interactive evolutionary algorithms

A set-based-inspired design process supported by axiomatic design and interactive evolutionary algorithms

A set-based-inspired design process supported by axiomatic design and interactive evolutionary algorithms

A set-based-inspired design process supported by axiomatic design and interactive evolutionary algorithms

An integrated approach for selecting design parameters in smart product-service system conceptual design

Nowadays, with the rapid development of cyber physical systems, IoT, and artificial intelligence, more and more attention has been paid to adapting the combination of smart, connected products and their generated services. Among these, smart product-service system (SPSS) with the unique features of smartness, connection, value co-creation, and data-driven has been widely concerned. Therefore, based on axiomatic design theory, the mapping from function domain to physical domain is a critical process in SPSS's conceptual design and the selecting of design parameters in physical domain has great impact on meeting multi-stakeholders’ benefits. Nevertheless, despite a few works on requirement conversion, it is not clear about the mapping mechanism under the target of value co-creation. Aiming to fill this gap, an integrated SPSS conceptual design method is proposed to solve the cross-domain mapping problem. It decomposes and reorganizes SPSS's function requirements with requirement development laws in TRIZ and divides the physical domain into product-related domain and service-related domain. Design parameters would be selected and evaluated by domain experts based on fuzzy comprehensive evaluation from different dimensions, which could represent the benefit of multi-stakeholders. Next, a binary integer programming (BIP) model with restrictions from different stakeholders would be constructed, which could be regarded as a multi-objective optimization problem. To solve the BIP model, the genetic algorithm is used and the optimal design parameters combination could be generated as the output of this process. Finally, a case study is carried out to demonstrate the feasibility and advantages of the integrated approach for cross-domain mapping in SPSS conceptual design.

Robotics in industrialized construction: an activity-based ranking system for assembly manufacturing tasks

PurposeDespite the proven evidence of ever-growing productivity gains in the manufacturing industry as a result of years of research and investment in advanced technologies, such as robotics, the adoption of robots in construction is still lagging. The existing literature lacks technical frameworks and guidelines that account for the one-of-a-kind nature of construction projects and the myriad of materials and dimensional components in construction activities. This study seeks to address existing technical uncertainty and productivity issues associated with the application of robotics in the assembly-type manufacturing of industrialized construction.Design/methodology/approachTo facilitate the selection of suitable robotic arms for industrialized construction activities, primarily assembly-type manufacturing tasks of offsite production processes, an activity-based ranking system based on axiomatic design principles is proposed. The proposed ranking system utilizes five functional requirements derived from robot characteristics—speed, payload, reach, degrees of freedom and position repeatability—to evaluate robot performance in an industrialized construction task using simulations of a framing station.FindingsBased on design parameters obtained from activity-based simulations, seventy six robotic arms suitable for the framing task were scored and ranked. According to the sensitivity analysis of proposed functional requirements, speed is the key functional requirement that has a notable effect on productivity of a framing station and is thus the determinant in robot performance assessment for framing tasks.Originality/valueThe proposed ranking system is expected to augment automation in construction and serve as a preliminary guideline to help construction professionals in making informed decisions regarding the adoption of robotic arms.

CRUSHING MACHINE DESIGN FOR WOOD WASTE UTILIZATION USING AXIOMATIC DESIGN METHOD.

The increased number of furniture orders led to a significant amount of material waste. Bahana Raya produces 5-7 m3 of multiplex and blockboard waste. Multiplex waste in the form of lumber and wood chips has been solely utilized as fuel for stoves being used for cooking for worker lunches, with the remainder simply being burned as waste. This study was carried out to provide solutions for dealing with existing waste in terms of multiplex and blockboard waste crushing machine. A tool or machine which can address all of these shortcomings were then developed. The axiomatic Design method can be utilized that can address these shortcomings workers’ needs and expectations based on field conditions. Completing the stages of determining Customer Attributes (CA) and making a hierarchy of Functional Requirements (FRs) and Design Parameters (DPs) can result in a product design that meets all of the workers' needs and expectations. The result of this study suggested the development of a multiplex and blockboard waste crushing machine, which offers a number of benefits over existing wood crusher machines, including the ability to produce finer sawdust in accordance with MDF raw material criteria (0,43 g/m3).

An Axiomatic Design Methodology for Manufacturing Process Selection Based on Multi-User Requirements Mapping

Computer-Aided Design and Applications is an international journal on the applications of CAD and CAM. It publishes papers in the general domain of CAD plus in emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, CAD data mining, CAD and the internet, CAD education, genetic algorithms and CAD engines. The journal is aimed at all developers and users of CAD technology to ptovide CAD solutions for various stages of design and manufacturing. The journal publishes all about Computer-Aided Design and Computer-Aided technologies.

An MDCM approach for risk assessment at the polar regions: analysing the antarctic route ice navigation risk parameters

ABSTRACT 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.

Perceived usability evaluation of learning management systems via axiomatic design with a real life application

PurposeUsage of learning management systems (LMSs) has become widespread with the disruption of face-to-face educations after the COVID-19 pandemic. There are several software products, usually named as LMS to enable and support distance education. However, selection of a suitable LMS is a complex multiple criteria decision making (MCDM) problem that requires consideration of many criteria and inputs from different parties like students, academicians, education managers, etc. Usability evaluation of LMS is one of the critical steps in deciding which LMS system to be adapted. There are several studies related to usability evaluation of LMS in the literature, but utilization of MCDM methods and real life case studies are very rare. Based on this motivation, perceived usability evaluation of SAKAI-LMS that is in use at an academic department is performed by employing axiomatic design procedure (ADP). This paper aims to discuss the aforementioned issues.Design/methodology/approachADP is considered as a suitable MCDM method for perceived usability evaluation as it allows an easy approach to data fusion and setting performance targets for decision makers. A questionnaire is developed to collect data from three types of system users about predetermined usability criteria and their importance. After detailed statistical analyses and weighting criteria via analytical hierarch process (AHP), ADP is carried out to evaluate usability of the LMS.FindingsIt is found that the proposed ADP based approach is easy to apply in practical circumstances and able to quantify perceived usability of the LMSs.Research limitations/implicationsThe proposed approach provides an easy and practical evaluation of perceived usability of the LMSs for decision makers who are responsible for the implementation of LMSs. The developed novel and practical MCDM-based perceived usability approach for LMS in this study has been verified through a real life case study at an academic department. Perceived usability results, therefore, reflects only the views of this focus group and are not generalizable.Originality/valueFirst time in the literature, a comprehensive ADP based MCDM approach is proposed based on the analyses of the related literature and information gathered from the system users.