Product Design Methodology Research Articles

Lesson from Crude Oil Treasure Failure in 2020

After the 2020 pandemic, the Chicago Mercantile Exchange (CME) changed its trading rules, allowing the negative oil price mechanism in the futures market. That same month, Bank of China's (BOC) "Crude Oil Bao" investment product brought huge losses to investors, exposing the product's risk management flaws. The purpose of this report is to conduct a comprehensive study of the factors that led to the losses suffered by Chinese investors in international crude oil product trading. It delves into the operational dynamics of these financial industry institutions, as well as the perspectives of Chinese banks and retail investors affected by the incident. Finally, recommendations are made to strengthen risk management measures in response to events such as the Crude Oil Treasure, with the aim of helping commercial banks to improve their product design methodologies. The article provides valuable insights into understanding financial product failures and offers guidance on mitigating risk.

Enhancing user experience in the digital service environment: A comprehensive study on the design and evaluation of internet-based healthcare products.

In the era of burgeoning digital technology, healthcare is a challenging transformative change towards virtual and digital platforms. Internet-based healthcare services are emerging as a popular trend within the medical area. User experience (UX) is paramount for the healthcare service, as it significantly influences experience satisfaction and fosters user viscosity. Gaining a profound understanding of users' demands and crafting services that align with their expectations is essential. Consequently, exploring an effective design approach for the digital healthcare service that prioritizes UX along with utilizing a comprehensive evaluation methodology to handle UX data, is of profound importance. This study introduces a design methodology for Internet-based healthcare products grounded in the UX and mental (UX-M) model. Aiming to refine the Internet-based healthcare product design by integrating insights from the experience data, it employs the Delphi-ANP and the fuzzy comprehensive evaluation to determine evaluation indexes and conduct experiential assessments. The UX evaluation results of existing schemes are compared with the proposed design scheme of the intelligent guidance and internet hospital. The findings indicate that the UX evaluation of Internet-based medical services with the proposed method outperforms the existing schemes. On the one hand, UX research of Internet-based healthcare products can significantly enhance service satisfaction for patients utilizing online medical treatments. On the other hand, the analysis of experience-based evaluation empowers designers to refine and improve UX design of Internet-based medical services. Such research endeavors are critical for enhancing the overall quality of service offerings and elevating user satisfaction in the digital healthcare landscape.

Structural Evaluation of a Three-Wheeler VehicleUsing Simulation Tools: A Case Study in Mexico

The mototaxi, a three-wheeled vehicle equipped with a roof, is a widely utilized mode of transportation in Mexico. Typically, it is employed for short-distance journeys in exchange for payment, similar to the operation of a conventional taxi. This study conducts astructural analysis of a mototaxi-type vehicle utilized in Mexico to assess its performance and safety. It underscores the significance of this mode of transportation, widely relied upon by numerous individuals. A product design and development methodology was employed, utilizing torsional deformation simulations to validate the new geometry. The objective was to minimize torsions as much as possible, thereby enhancing the motorcycle taxi’s safety and ensuring the vehicle’s correct positioning. Through computeraided design, the prevailing torsions within the casing were assessed, establishing the operating conditions to which the system is commonlysubjected. The findings from the chosen vehicular structure reveal a flexural rigidity of 6,508.15 N/mm, torsional rigidity of 27.35 KNm/°, and a range of natural frequencies between 8-21 Hz. These values indicate favorable resistance against bending forces and operational frequency. However, the torsional results exhibit deficiencies, suggesting an unsafe structure for all motorcycle taxi occupants. Consequently, technology developers and national legislators should prioritize enhancing the structural integrity of such vehicles.

A top-down lashing bridge collaborative design method

ABSTRACT The short detailed design cycle of lashing bridges on container ships needs to ensure that various designs have different requirements at multiple locations on the ship, making the design methodology for complex products challenging. Currently, research on the design methodology of lashing bridges lacks in-depth investigation into detailed design aspects. This work addressed research gaps through a top-down collaborative design approach and analysed the principles of propagating design changes in computer-aided design (CAD), as well as proposed a design methodology consisting of four core steps, namely, skeleton decomposition, feature aggregation, detailed design and product structure (PS) expansion. The effectiveness of this methodology was validated through practical design examples and specific variant design instances of a certain type of container ship. The validation demonstrated that the proposed design methodology, in contrast to traditional three-dimensional design methods, supported design process reuse and significantly improved design efficiency in complex product designs.

An IoT-Enabled Smart Energy Management System to Improve Energy Efficiency in University Laboratory

Efficient energy management remains a challenge in university laboratories. The aim of this study is to develop and deploy an Internet of Things (IoT) system that can automatically adjust electronic devices to improve the efficiency of power consumption in the university laboratory. An advanced system is urgently needed to support sustainable and effective energy management. A smart IoT-based energy management system can improve energy efficiency, reduce operating costs, and reduce negative environmental impacts. The system enables both human and automated control of lighting and air conditioning using scheduling and occupancy detection. This development-based research uses a product design methodology that includes both software and hardware. The software product in this research is an IoT platform website for managing IoT devices. The essential processes include defining project goals and requirements, designing a system architecture, creating a user experience design, developing and integrating components, and conducting tests. The system is successful in automatically monitoring and controlling electronic devices based on certain parameters such as scheduling and presence detection. The system meets most of the specified functional and non-functional requirements as demonstrated in experiments, although it is somewhat limited by hardware limitations. Ultimately, the system increases the energy efficiency of the laboratory and thus successfully fulfills the research goal. This innovative project could be a blueprint for other smart energy control efforts.

Cobot selection using hybrid AHP-TOPSIS based multi-criteria decision making technique for fuel filter assembly process

The choice of a suitable collaborative robot (cobot) for a real-time industrial process is one of the obstacles to effective robot implementation in terms of energy and cost. The cobot selection process for an application have become more complex due to increasing sophisticated features and capabilities in cobots offered by the manufacturers. The paper presents a hybrid Multi-Criteria Decision-Making (MCDM) technique based on Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approaches for selecting cobots for fuel filter assembly operation. The product design methodology, manufacturing method, and associated cost are directly influencing the decision on cobot selection. The most appropriate robot to accomplish the desired task at the lowest possible cost and capability can be selected by AHP with prospective criterion weight for subsequent processing. The TOPSIS approach orders alternatives based on the prominence of criteria. A diesel fuel filter assembly process case was considered for validating the proposed technique of cobot selection process. An expert knowledge base was generated for 12 advocated cobots and the best cobot was selected using the proposed hybrid MCDM technique.

PARAMETRIC MODELING OF BIO-INSPIRED LUMINAIRES FOR ADDITIVE MANUFACTURING TECHNOLOGIES

The development of 3D modeling tools has allowed the construction of geometries that were unattainable computationally until a few decades ago. Specifically, parametric design and modeling is gaining significant importance in the conceptualization of new designs and products. This communication shows some of the resulting prototypes, designed and manufactured by INNANOMAT research group (TEP 946) of Cadiz University. A product design methodology for Additive Manufacturing (AM) and functional luminaire models proposed in the scope of two projects: ADICORK and 3DBLEND. In these projects, bio-inspired texture designs were explored in natural elements and environments of the province of Cádiz, in order to highlight this region and the value of its ecosystem. In both projects, sustainable polymeric blends were developed that served as base material for the manufacture of part of the prototypes shown in this communication. For these designs, parametric design programs such as Grasshopper, a Rhinoceros plugin, were used to obtain complex models that achieve a unique and differentiating aesthetic. The result of the modeled texturing is combined with surfaces in Rhinoceros. Once the textured model is defined, it is detailed and finished in modeling programs where dimensional control is greater, and the design is adjusted to the specific AM technology chosen. In this case two were used, Fused Filament Fabrication (FFF) and Fused Granular Fabrication (FGF). Keywords: Parametric design; Fused Granular Fabrication; Additive Manufacturing; product design; Biomimicry

Computer‐aided design of insect‐repellent formulation with inherent safety assessment

AbstractInsect repellents are one of the most effective ways to prevent the spread of diseases such as dengue, malaria, and yellow fever. However, most insect repellents contain ingredients that pose a significant risk to consumers. Therefore, this research aims to design a safer and less harmful insect‐repellent formulation based on the formulated product design methodology. Computer‐aided molecular design (CAMD) methodology was employed to design an insect‐repellent solvent that exhibits minimum safety and health risks. The safety and health hazards of all the selected ingredients were then assessed using an inherent safety and health index known as the Product Ingredient Safety and Health Index (PISHI). As a result, the proposed insect‐repellent formulation with minimum safety and health risks may consist of picaridin, 1,5‐pentanediol, and linalool. This research contributed to an inherently safer formulation design, where the identification and elimination of hazardous ingredients has been done at the early design stage. The safer and less harmful ingredients used in the insect‐repellent formulation may reduce the significant risk to consumers.

An Integrated QFD and TRIZ Methodology for Innovative Product Design

The paper presents a methodology that integrates Quality-Function Deployment (QFD) and the Theory of Inventive Problem Solving (TRIZ) used for generating innovative solutions to design problems. It proposes a modified analytical House of Quality (HoQ) to reveal and prioritize contradictions between design parameters and between customer requirements. The proposed methodology extends the traditional HoQ and eliminates the need for the TRIZ’s Function Analysis (FA) procedure. Function Analysis involves identifying the functions of a product or process elements and trying to find contradictions between the system elements. The usability of the proposed method is illustrated through the redesign of an assembly workshop to overcome major problems addressed by the various stakeholders of the process. The new design of the assembly workshop helps reduce the number of work stages from 3 to 1, reduce the number of workers from 4 to 2, decrease rework, decrease the percentage of damaged products, enhance workplace ergonomics and improve the overall system efficiency.

Endotracheal Cuff System Performance Enhancement through Product Design and Development Methodologies

Rapid prototyping (RP) is a popular method for product development and design in medical industries. Endotracheal tube (ETT) incubation is a common problem when using medical equipment. Among the difficulties that surgeons face during surgical procedures are the misinsertion of an endotracheal tube into the oesophagus and extubation due to the patient's limited mobility. The aim of this work is to design an innovative endotracheal tube holding model. The survey was carried out in order to identify the most common ETT problems. As a result, quality functional deployment and product design and development methodologies were utilised to select the design for all of the ideas, which were designed based on the demands indicated by the consumers. The concept score matrix was used to evaluate the designs. As a result, concept A is selected as the final design. The overall score for each concept was calculated to discover which concept has the highest rating. Based on the results of the concept scoring and concept screening, concept A is the most likely to be produced. The concept meets the most demanding needs of the users. The selected design was then created on the Fused Deposition Modelling (FDM) machine.

Development of a localized production model for the automotive industry, built into the concept of industry 4.0 in the kingdom of Saudi Arabia

Saudi Arabia vision-2030 is mainly focused on industrialization to reduce reliance on oil revenue. Localized Manufacturing (LM) concept, which has gained its importance worldwide in this fast-changing technological world to meet customers’ unique needs of 21st century. Now-a-days, manufacturing industry is shifting from standard product development to customized product development keeping in view the growing unique customer-’s needs. The research objective of this research was to maximize LM Application in the Kingdom of Saudi Arabia to meet unique customers’ needs. Automobile industry was selected to apply Industry 4.0 technologies i.e., 3D Printing/Additive manufacturing. The specifications, fulfilling the customer’s unique needs have been incorporated to manufacture the desired part by 3D printing/additive manufacturing. Data was collected from Saudi automobiles customers regarding their unique needs on a particular automobile part. Using the Product Design and Development methodology by Ulrich et al data was collected, analysed and as a result of data analysis, a model for maximization of localized manufacturing was developed for implementation of LM technique. Results shows that using Industry 4.0 concept, customers’ unique needs can be satisfied and fulfilled in less time and it will be more economical as compared to standard/conventional manufacturing/production methods. Based on the results of this research a model for maximization of localized manufacturing is developed utilizing Industry 4.0 technique

Positive Experience Design Strategies for IoT Products to Improve User Sustainable Well-Being

Although the advent of the Internet of Things (IoT) technology has benefited the progress of social life, the relentless pursuit of technological advancement cannot definitely lead to a sustainable increase in customer pleasure and happiness. During the design phase, happiness is often overlooked. Therefore, the objectives of this study are as follows: (1) to provide a comprehensive overview of the importance of sustainable happiness for the IoT product design and to propose 15 positive experience design strategies that can improve user happiness; and (2) to apply the 15 design strategies to the IoT product design practice and validate whether they can effectively guide the designers’ work. The research procedure consisted of four steps. First, qualitative data for developing the design strategies was collected through bibliometrics and expert interviews. Second, the propositions of the design strategies were reviewed, analyzed, and constructed using the qualitative research software program NVivo 20. Third, two researchers categorized the 15 strategy concepts into the four directions of positive experience design approaches for the IoT products. Fourth, we conducted a two-week design workshop to validate the feasibility of the design strategies. The results indicate that the 15 design strategies can effectively guide designers to create ideas that prioritize user well-being and allow for creative exploration in various directions. This paper enriches the IoT product design methodology, which can enhance the users’ sustainable pleasure, future goal achievement fulfillment, and social relationship well-being in the IoT era.

Big Data and AI-Driven Product Design: A Survey

As living standards improve, modern products need to meet increasingly diversified and personalized user requirements. Traditional product design methods fall short due to their strong subjectivity, limited survey scope, lack of real-time data, and poor visual display. However, recent progress in big data and artificial intelligence (AI) are bringing a transformative big data and AI-driven product design methodology with a significant impact on many industries. Big data in the product lifecycle contains valuable information, such as customer preferences, market demands, product evaluation, and visual display: online product reviews reflect customer evaluations and requirements, while product images contain shape, color, and texture information that can inspire designers to quickly generate initial design schemes or even new product images. This survey provides a comprehensive review of big data and AI-driven product design, focusing on how big data of various modalities can be processed, analyzed, and exploited to aid product design using AI algorithms. It identifies the limitations of traditional product design methods and shows how textual, image, audio, and video data in product design cycles can be utilized to achieve much more intelligent product design. We finally discuss the major deficiencies of existing data-driven product design studies and outline promising future research directions and opportunities, aiming to draw increasing attention to modern AI-driven product design.

A Sustainable Iterative Product Design Method Based on Considering User Needs from Online Reviews

Small and medium-sized manufacturing industries can use online reviews to add valuable user requirements, enabling them to iteratively and precisely upgrade their products based on user needs. However, a sustainable, iterative approach to product design requires the integration of a large amount of information about user requirements for accurate selection. Currently, product iterations are primarily focused on developing new solutions or upgrading a few components with little screening to see if the product iterations meet user needs. This leads to a large number of wasted resources and a shortened product lifecycle. To address these challenges, this paper proposes a sustainable iterative research method that mines user needs and provides comprehensive decision making for product design based on online reviews, using probabilistic semantic term sets (PLTS). The proposed method considers the hesitation and uncertainty among evaluating experts regarding indicators, and uses the decision-making trial and evaluation laboratory (DEMATEL) method to analyze the correlations between demand indicators. The DEMATEL correlation function is improved by reconstructing the PLTS acquisition score function and deviance into a DEMATEL correlation function, in the form of exact values using an improved binary semantic approach. This iterative design approach provides accurate feedback on how users feel about the use of product components and ensures that most product components are sustainably recycled. A drone case study is presented to demonstrate the feasibility of this approach. In-depth interviews with experts confirm that this approach is more sustainable and provides a new research methodology for sustainable iterative product design.

A Methodological Study on the Design Defending Baffles Based on Mangrove Bionics

In terms of the failure of giving considerations to both aesthetic ornamental and low-carbon function for the current disaster prevention and mitigation engineering. This study proposes the debris-disaster prevention baffles applicable to natural scenic areas which designed based on mangroves properties, to solve this problem by adopting bionic design method. The research methodology is as follows: (1) To propose a Six Elements and Ten Steps Design Method for extracting the critical bionic elements of mangrove plants that contributes to the prevention of winds and waves. (2) To construct a decision objective model based on the Analytic Hierarchy Process method (AHP). Prioritize the critical bionic design elements and build a geometric structure model. (3) To compare the disaster mitigation performance through numerical simulations, and thus select an optimal one for further studies. (4) To design the final disaster prevention product based on the above theoretical guidance, low-carbon concept, efficient protection orientation, and environment-friendly principles. This study indicates that the use of bionic design satisfies aesthetic ornamental, and low-carbon demands. The appliance of AHP avoids subjective one-sidedness in design process when considering the priority of bionic elements. The numerical simulation experiments adopted in this study aim to compare the blocking effect of different baffle models and achieve the optimization the performance in disaster prevention of traditional baffle groups. In this study, the bionic product design methodology is adopted for baffle design to solve existing aesthetic and environmental problems. The particle accumulation mass after the new baffles can be effectively reduced by 2–3 times compared to the traditional baffles. Furthermore, the new baffle is more aesthetically pleasing than the traditional ones.

Realisation of Design Methodologies and Tools in Modern Manufacturing Systems

Engineering design is the basis for technological advancement and the development of new products. Many changes have emerged over the last few decades due to scientific advancements, evolution in novel engineering materials, advances in computational technology, the opening up of the global village, economic constraints, short life spans of products, and the need for a responsive life cycle design paradigm in engineering products. To meet customer or operational requirements, a certain design methodology is used to design and develop products. This has resulted in notable growth in product design methodologies across disciplines, particularly architecture, engineering, and industrial designs. The engineering design methodology has addressed design procedures, epistemological issues, and working procedures in the design disciplines for several decades. In this article, the research seeks to delve into novel design methodologies currently in use and interrogate their limitations and advantages to create synergies among the best practices in engineering design approaches, with particular emphasis on responsiveness to continuously changing customer requirements. To achieve this, special emphasis will be placed on a design methodology for life cycle, end-of-life, concurrent engineering, eco-design, and reconfigurable design. Based on a strategic focus, the drive is for innovative engineering design that requires design approaches that respond to continuous product changes. The results from this study demonstrate the relationships between engineering design methodologies and solution models that respond to industry and customer requirements.

Embedded Sensor Systems in Medical Devices: Requisites and Challenges Ahead.

The evolution of technology enables the design of smarter medical devices. Embedded Sensor Systems play an important role, both in monitoring and diagnostic devices for healthcare. The design and development of Embedded Sensor Systems for medical devices are subjected to standards and regulations that will depend on the intended use of the device as well as the used technology. This article summarizes the challenges to be faced when designing Embedded Sensor Systems for the medical sector. With this aim, it presents the innovation context of the sector, the stages of new medical device development, the technological components that make up an Embedded Sensor System and the regulatory framework that applies to it. Finally, this article highlights the need to define new medical product design and development methodologies that help companies to successfully introduce new technologies in medical devices.

From Biorefinery to Food Product Design: Peach (Prunus persica) By-Products Deserve Attention.

There is an increasing demand for functional foods to attend the consumers preference for products with health benefits. Peach (Prunus persica), from Rosaceae family, is a worldwide well-known fruit, and its processing generates large amounts of by-products, consisting of peel, stone (seed shell + seed), and pomace, which represent about 10% of the annual global production, an equivalent of 2.4 million tons. Some studies have already evaluated the bioactive compounds from peach by-products, although, the few available reviews do not consider peach by-products as valuable materials for product design methodology. Thereby, a novelty of this review is related to the use of these mostly unexplored by-products as alternative sources of valuable components, encouraging the circular bioeconomy approach by designing new food products. Besides, this review presents recent peach production data, compiles briefly the extraction methods for the recovery of lipids, proteins, phenolics, and fiber from peach by-products, and also shows in vivo study reports on anti-inflammatory, anti-obesity, and anti-cerebral ischemia activities associated with peach components and by-product. Therefore, different proposals to recover bioactive fractions from peach by-products are provided, for further studies on food-product design.

Advancing Taiwan's traditional craft products: A modular product design model of manufacturing technologies

The compatibility between craftsmanship and industrial product design is an important axis of modern design development. This research seeks to integrate the craft process and industrial product design methodology to achieve mass production while maintaining characteristics of traditional craftsmanship. This study constructs an operational model to formulate appropriate strategies, present two craft cases, and utilize the triangulation method to explore synergistic effects between craft process and industrial product design. The conclusions reveal that craft materials, modules, innovation, and living technology are four key design features of the modern craft model. Moreover, this study proposes a new craft development model which applies the module concept to determine feasible market strategies that can be implemented to bridge the gap between craft and product design processes. Importantly, this study also draws upon theories and models proposed by previous researchers to explain how modern craftsmanship can be leveraged to establish market niches for mass-produced products. The concept of modern crafts facilitates cross-domain collaboration and integration, contributes to the field of traditional crafts and product design, and creates niche markets for traditional craft products. This novel approach can therefore be leveraged to advance the development of sustainable design, innovative material use, product recycling, innovative design concepts, and human-friendly design.

The ASSISTANT project: AI for high level decisions in manufacturing

This paper outlines the main idea and approach of the H2020 ASSISTANT (LeArning and robuSt deciSIon SupporT systems for agile mANufacTuring environments) project. ASSISTANT is aimed at the investigation of AI-based tools for adaptive manufacturing environments, and focuses on the development of a set of digital twins for integration with, management of, and decision support for production planning and control. The ASSISTANT tools are based on the approach of extending generative design, an established methodology for product design, to a broader set of manufacturing decision making processes; and to make use of machine learning, optimisation, and simulation techniques to produce executable models capable of ethical reasoning and data-driven decision making for manufacturing systems. Combining human control and accountable AI, the ASSISTANT toolsets span a wide range of manufacturing processes and time scales, including process planning, production planning, scheduling, and real-time control. They are designed to be adaptable and applicable in a both general and specific manufacturing environments.