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Nowadays, the social dimension of product sustainability is increasingly in demand, however, industrial designers struggle to pursue it much more than the environmental or economic one due to their unfamiliarity in correlating design choices with social impacts. In addition, this gap is not filled even by the supporting methods that have been conceived to only support specific areas of application. To fill this gap, this study proposed a method to support social failure mode and effect analysis (SFMEA), though the automatic failure determination, based on the use of a chatbot (i.e., an artificial intelligence (AI)-based chat). The method consists of 84 specific questions to ask the chatbot, resulting from the combination of known failures and social failures, elements from design theories, and syntactic structures. The starting hypothesis to be verified is that a GPT Chat (i.e., a common AI-based chat), properly queried, can provide all the main elements for the automatic compilation of a SFMEA (i.e., to determine the social failures). To do this, the proposed questions were tested in three case studies to extract all the failures and elements that express predefined SFMEA scenarios: a coffee cup provoking gender discrimination, a COVID mask denying a human right, and a thermometer undermining the cultural heritage of a community. The obtained results confirmed the starting hypothesis by showing the strengths and weaknesses of the obtained answers in relation to the following factors: the number and type of inputs (i.e., the failures) provided in the questions;the lexicon used in the question, favoring the use of technical terms derived from design theories and social sustainability taxonomies;the type of the problem. Through this test, the proposed method proved its ability to support the social sustainable design of different products and in different ways. However, a dutiful recommendation instead concerns the tool (i.e., the chatbot) due to its filters that limit some answers in which the designer tries to voluntarily hypothesize failures to explore their social consequences.
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This paper provides a critical overview of Design for Sustainability (DfS) and Design for Well-Being practices as, today, sustainability, human behavior, and well-being are inextricably linked. We present a case study in response to a pharmaceutical company brief about cosmetic self-production packaging. Since the research takes place during the first lockdown due to Covid-19, it depicts quite a complex and extensive desk phase and a limited field phase. The research is approached on two levels. First, is the intention to change the way we interact with the packaging. As a container of elements, packaging can be a resource on all levels, not only because we can recycle it but also because we can replant it. In this way, we would return part of what had been taken away to the environment while also improving the product's life cycle. Thus, packaging becomes "behavioral”, producing and stimulating conscious behavior and motivating end-users while also educating them about environmental norms. Second, the Critical Design method traces the connections between DfS and Design for Well-being by leveraging the two practices within product design, clarifying the role of the designer in this transdisciplinary integration. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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The use of plastic bottles has become a significant environmental concern, and recycling them has become a priority. Small and medium-sized recycling companies must collect and categorize large volumes of plastic bottles and sell them to larger recycling firms, a process that is time-consuming, costly, and labor-intensive. This manual sorting process can pose health risks, particularly during the COVID-19 pandemic, and can affect worker productivity. To address these issues, this study proposes the development of an automated conveyor belt system that can rapidly and accurately separate plastic bottles by type. The system utilizes an opaque and transparent plastic bottle separation platform, which saves time, cost, and manpower. This system design provides recycling SMEs with a competitive advantage by serving as a practical application model and a prototype with an easy-to-use concept. Key tools employed in this research include product design development (PDD), Kansei engineering, manufacturing process design, controlling system, and fault tree analysis (FTA). The light sensors are critical components in the separation process, detecting the opacity or transparency of the bottles' surfaces. The proposed prototype's reliability will be assessed by FTA, which considers all potential failures. This study contributes to the body of knowledge surrounding the integration of conveyor systems and provides valuable information for businesses seeking to optimize their sorting processes. The guidelines developed in this study can serve as a starting point for further research on the integration of conveyors in waste sorting plants. © 2013 IEEE.
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Traces of touch provide valuable insight into how we interact with the physical world. Measuring touch behavior, however, is expensive and imprecise. Utilizing a fluorescent UV tracer powder, we developed a low-cost analog method to capture persistent, high-contrast touch records on arbitrary objects. We describe our process for selecting a tracer, methods for capturing, enhancing, and aggregating traces, and approaches to examining qualitative aspects of the user experience. Three user studies demonstrate key features of this method. First, we show that it provides clear and durable traces on objects representative of scientific visualization, physicalization, and product design. Second, we demonstrate how this method could be used to study touch perception, by measuring how task and narrative framing elicit different touch behaviors on the same object. Third, we demonstrate how this method can be used to evaluate data physicalizations by observing how participants touch two different physicalizations of COVID-19 time-series data. © 2023 ACM.
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The COVID-19 pandemic has had a significant impact on human behaviors and how it influenced peoples' interests in cultural products is an unsolved problem. While prior studies mostly adopt subjective surveys to find an answer, these methods are always suffering from high cost, limited size, and subjective bias. Inspired by the rich user-oriented data over the Internet, this work explores the possibility to leverage users' search logs to reflect humans' underlying cultural product interests. To further examine how the COVID-19 mobility policy might influence cultural interest changes, we propose a new regression discontinuity design that has the additional potential to predict the recovery phase of peoples' cultural product interests. By analyzing the 1592 search interest time series in 6 countries, we found different patterns of change in interest in movies, music, and art during the COVID-19 pandemic, but a clear overall incremental increase. Across the six countries we studied, we found that changes in interest in cultural products were found to be strongly correlated with mobility and that as mobility declined, interest in movies, music, and art increased by an average of 35, 27 and 20, respectively, with these changes lasting at least eight weeks. © 2023 ACM.
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Online shopping has revolutionized our daily lives in the modern era. We can purchase needed goods on mobile shopping applications (apps) anytime and anywhere without leaving home. Especially during the COVID-19 pandemic, we have become increasingly dependent on various mobile shopping activities. However, the visual design of the shopping app interface often affects the user's interactive experience and the efficiency of browsing product information. In addition, gender differences are also worth being considered in the shopping interface design process. To achieve the goal, the research conducted a user study (N=40) of a 2× 2 x 2 mixed factorial design (i.e., information layout x display mode x gender difference). Each participant performed four tasks during the experiment. The authors measured the task completion time, collected the subjective responses from the SUS and the 7-point Likert scale questionnaire, and interviewed participants. The results revealed that: (1) females perform faster in lighter mode when searching for information location, while males perform faster in darker mode. (2) The information layout affects the user's visual search performance and subjective evaluation;females prefer the list style, but men prefer the matrix style. (3) Participants (both males and females) perceived matrix style as more popular than list style in dark mode;however, the result was reversed in light mode. The findings generated from the research can serve as a good reference for the development of user experience in the user interface design of mobile shopping apps. © 2013 IEEE.
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This research seeks to respond to a current problem, which has to do with the impact of remote work, from home, on the mental health of "knowledge workers” in particular. One of the greatest struggles people report having is being able to disconnect from work, a state known in the field of psychology as Psychological Detachment. In this context, the main objective of this work was to create a product capable of helping people in the process of disconnecting from work at home. To this end, we established an interdisciplinary research where the contribution of psychology stood out. After conducting a literature review, which culminated in the definition of a theoretical framework, we carried out user research, starting with surveys to find out about users who are being affected and concluding this stage with an Ideation workshop where users were encouraged to design solutions to help them disconnect from work. This collaborative and iterative process resulted in a number of ideas emerging alongside the theoretical framework, culminating in the proposal of three product concepts specifically aimed at helping people disconnect. These were subsequently evaluated by users and, according to their perceptions, gathered using User Experience Questionnaire. One of the concepts was chosen for refinement. Due to constraints imposed by the COVID-19 pandemic it was not possible to produce a prototype of this concept for evaluation with users, which limits this study. Obtained results and their implications are discussed. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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The aim of this paper is to study the mechanical behavior of corrugated board boxes, focusing attention on the strength that the boxes are able to offer in compression under stacking conditions. A preliminary design of the corrugated cardboard structures starting from the definition of each individual layer, namely the outer liners and the innermost flute, was carried out. For this purpose, three distinct types of corrugated board structures that include flutes with different characteristics, namely the high wave (C), the medium wave (B), and even the micro-wave (E), were comparatively evaluated. More specifically, the comparison is able to show the potential of the micro-wave which would eventually allow a significant saving of cellulose in the fabrication process of the boxes, thus reducing the manufacturing costs and causing a lower environmental footprint. First, experimental tests were carried out to determine the mechanical properties of the different layers of the corrugated board structures. Tensile tests were performed on samples extracted from the paper reels used as base material for the manufacturing of the liners and flutes. Instead, the edge crush test (ECT) and box compression test (BCT) were directly performed on the corrugated cardboard structures. Secondly, a parametric finite element (FE) model to allow, on a comparative basis, the study of the mechanical response of the three different types of corrugated cardboard structures was developed. Lastly, a comparison between the available experimental results and the outputs of the FE model was carried out, with the same model being also adapted to evaluate additional structures where the E micro-wave was usefully combined with the B or C wave in a double-wave configuration.
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PurposeThe aim of this research is to empirically assess the nine dimensions of the Total Quality Management (TQM) model, which have been categorized into four blocks: the top management block, the supplier block, the process management block and the customer block. The nine dimensions represent key strategic activities of company performance. A comparative analysis of companies with ISO 9001 certification and those without certification in a developing country during the COVID-19 pandemic is carried out.Design/methodology/approachA survey was administered to the management of 259 Peruvian goods companies (in the mining, repair and manufacturing sectors) during the COVID-19 pandemic. The survey consisted of 35 Likert-scale items, which were grouped into the following nine TQM dimensions: Top management (leadership), quality planning, quality audit and assessment, product design, suppliers' quality management, process control and improvement, education and training, quality circles and focus on customer satisfaction. Then, Cronbach's alpha, the Kolmogorov–Smirnov test, the Mann–Whitney U test and means were computed for each of the dimensions. This analysis made it possible to estimate significant differences between ISO 9001 certified and non-certified goods companies in terms of the dimensions.FindingsThe results showed that, for ISO 9001 certified companies, the averages for all of the dimensions were significantly different from those of non-certified companies, except for the education and training dimension. ISO 9001 certified companies scored higher than non-certified companies in the TQM dimensions. For both certified and non-certified companies, the leadership dimension had the highest average and the quality circles dimension had the lowest average.Originality/valueThis study addresses two main gaps highlighted in the research on quality management: the application of Quality Management Systems (QMS) in developing countries like Peru, and the impact of ISO 9001 on the performance of goods companies during the COVID-19 pandemic.
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Building an effective resilient supply chain system (RSCS) is critical and necessary to reduce the risk of supply chain disruptions in unexpected scenarios such as COVID-19 pandemic and trade wars. To overcome the impact of insufficient raw material supply on the supply chain in mass disruption scenarios, this study proposes a novel RSCS considering product design changes (PDC). An RSCS domain model is first developed from the perspective of PDC based on a general conceptual framework, i.e., function-context-behavior-principle-state-structure (FCBPSS), which can portray complex systems under unpredictable situations. Specifically, the interaction among the structure, state and behavior of the infrastructure system and substance system is captured, and then a quantitative analysis of the change impact process is presented to evaluate the resilience of both the product and supply chain. Next, a case study is conducted to demonstrate the PDC strategy and to validate the feasibility and effectiveness of the RSCS domain model. The results show that the restructured RSCS based on the proposed strategy and model can remedy the huge losses caused by the unavailability of raw materials.
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Disposable surgical face masks are designed to block the airborne transmission of infectious viruses between patients and healthcare personnel;however, there are limitations to a surgical mask's ability to prevent transmissions because the mask does not provide an airtight seal around the face. This study focuses on the design and development of a custom mask frame, using individuals' three-dimensional (3D) facial scans, to improve the seal of the existing surgical masks. Three participants' facial scans with a wide range of facial dimensions were collected using a 3D hand-held scanner. During design, the contact area between the custom frame and the wearer's skin was determined based on the individual's 3D facial shape. To evaluate the effectiveness of the airtight seal, a qualitative fit (smell/taste) test kit and thermal imaging camera were utilized. When the participants wore the surgical masks without the customized mask frames, the participants smelled the saccharine scent from the test kit. However, while wearing the surgical masks fitted with the custom mask frame that held the mask in place, none of the participants could smell the scent. In addition, thermal images showed ambient temperature changes in the surgical mask suggesting air leakage around the boundary of the mask while the subject was inhaling and exhaling. With the mask frame, thermal images confirmed the effectiveness of the custom frame to block the inflow/outflow of air potentially carrying the virus. The results indicate that the custom-built mask frames are effective in providing a proper and much improved seal compared to a surgical mask without the frame. The developed custom mask frame will be particularly beneficial for frontline medical staff members who treat patients with infectious viruses transmitted through aerosols as part of their PPE.
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How integrating DFSS into agile software development can help address the human aspects of these processes A German university of applied sciences with about 5,500 students needed new software due to COVID-19-related laws and decrees that required universities to perform contact tracking in case of potential COVID-19 exposure. Agile is a software development philosophy based on using self-organized teams.2 The goal of agile is to develop a basic working version of the software quickly, and continuously improve the software and add more features in accordance with customer or stakeholder wishes.3 Unlike many other software development methods, agile does not have predefined stages or documents4 and is ideally suited to coping with evolving and changing stakeholder requirements.5 One advantage of agile is discovering software design flaws quicker than classic stage-based software development models.6 Finding design flaws quickly is advantageous because fixing the software design late in the project is costly and time consuming. The problem statement was a verbal "digitize contact tracking," and there were frequent attempts to expand the project to include additional objectives such as ensuring people maintained social distancing, registering students for study spaces and improving carbon dioxide monitoring. Leveraging DFSS While agile is well suited to software development, it is less suited to dealing with many of the organizational problems that were encountered. [...]future projects would benefit from integrating a DFSS framework into such projects.
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The present study aims at understanding and analyzing the COVID-19-induced behavioral change spurting artificial intelligence (AI) adoption in Indian banking industry. The study has further identified and analyzed the usage pattern of Indian customers for mobile banking/online banking services in the pre-pandemic phase and progression of Indian customers for mobile banking/online banking services during the pandemic. Secondary data has been used for deep understanding of the AI adoption in Indian banking industry, with reports from McKinsey, PWC, RBI, NPCI, BIS, etc., to form the base. The period of study was taken from 2016 to 20, and this was taken keeping in mind the timing of another unprecedented event of demonetization. Behavioral change of Indian banking industry customer was assessed on three broad parameters change in value and volume of mobile banking transactions on year on year basis. COVID-19-induced behavioral change translating in massive jump of 178% in volume of mobile transactions between March 2019 and 2021. The increase in number of smart phone users and access to connectivity and desired technology has helped the cause. With 2020–21 punctuated by several nationwide as well as localized lockdowns adoption of AI for customer engagement has been crucial for Indian banking industry, which has further translated in to designing and customizing products and risk profiling of customers further resulting in increased operational efficiency and intuitive decision making. The behavioral change induced by COVID-19 in the Indian baking industry achieves competitive advantage by truly responding to huge customer data base which has been utilized by other financial industries as now it can have systems which understand and are responsive to behavior of varied customers. From responses feeded chatbots to intuitively responsive AI bots, the customer engagement is going to be a whole new experience which will help in customer acquisition and retention. Further, with falling data storage costs, increasing processing speeds and capabilities and improved connectivity and access for all has helped the rapid automation and AI adoption. Enterprise level adoption of AI has led to revenue generation and optimization of functional resources this reducing the cost at functional level. The AI adoption has been continuous from the banks over the years though banks have started to harness its potential in the recent years with customers adoption of smart hand-held devices. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
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This study aims to examine the suitability of the conceptual model regarding the effect of business strategy, user competence, organizational structure on the Effectiveness of Management Accounting Software (MAS), and how the influence between the variables studied during the Covid 19 Pandemic took place. Quantitative methods are used to test the suitability of the proposed model and to determine the predicted effect between the variables studied. The data were tested using Covarian Base Structural Equation Model (CB-SEM) with Lisrell 8.5 software. This study uses primary data collected through questionnaires to a population of 118 State-Owned Enterprises (SOEs) Management Accounting departments in Indonesia, with a selected sample size of 100 SOEs, which were selected using a simple random technique. The results of this study succeeded in confirming the conceptual model developed by the researcher and empirically proving the influence of business strategy on MAS Effectiveness, user competence on MAS Effectiveness and organizational structure on MAS Effectiveness in Indonesian SOEs companies. The effectiveness of MAS depends on the relevance of the needs of its users. The right business strategy, effectively provides relevant information for the company to design MAIS according to user needs, so that the company's operational activities run effectively and efficiently, the company is able to implement a Cost Reduction Strategy through production cost savings, production process accuracy, implementing product differentiation and low pricing strategy with a focus on customer needs during the Covid-19 pandemic. The results of this study contribute to producing strategic management accounting information to anticipate business continuity during and after the Covid 19 Pandemic and to help overcome the crisis due to the Covid 19 pandemic in the early stages of the Covid 19 Pandemic by optimizing business strategy, organizational structure, and company HR competencies. © 2022 IEEE.
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Intelligent wearable masks are gaining increasing interest due to COVID-19 and the problems and limitations of existing masks. This paper prioritizes the design elements of personal protective equipment-intelligent wearable masks from the perspective of the product design domain. Using principal component analysis (PCA), the principal components of the design elements were selected first in this paper. Using the combined weights (PCA-AHP) method, the intelligent wearable masks' prioritized design elements at each level were determined. The highest priority among the primary elements is comfort (0.3422), with the adjustable ear strap (0.1870) receiving the highest priority among the primary elements of comfort. The highest priority in functionality (0.2733) is anti-respiratory droplets/air purification (0.1097), the highest priority in usability (0.1686) is the easy removal and replacement of filters (0.0761), the highest priority in the aesthetic design (0.1192) is styling (0.0509), and the highest priority in material (0.0967) is flexible fabric material (0.0355). Finally, the six prioritized design elements were evaluated using fuzzy comprehensive evaluation (FCE), and overall, 76% of the experts considered them "appropriate” or "very appropriate” and 18% considered them "fair.” Therefore, this study's six most prioritized design elements proposed for intelligent wearable masks can satisfy users' needs. © 2023 by the authors.
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In addition to equipment maintenance decisions, spare parts ordering decisions from different suppliers play a key role in reducing related costs (e.g., maintenance, inventory and ordering costs). Since suppliers may use different production technologies and materials, spare parts (or products) from different suppliers can be different in quality. Nevertheless, in recent studies, the quality of spare parts is rarely considered to incorporate both equipment maintenance and spare parts ordering. In this paper, we investigate the joint optimization of condition-based maintenance and spare parts provisioning policy under two suppliers with different product quality. We formulate a sequential-decision problem with a Markov decision process and consequently obtain an optimal maintenance and ordering policy by an exact value iteration algorithm. To improve computation efficiency, based on the principle of sequential optimization, we develop heuristic methods. Extensive numerical experiments are conducted to assess the overall performance of the developed heuristic methods. Compared to the optimal method, results showed that the average cost gap is about 2% and computation time is reduced by 94% on average under the proposed heuristic method. Note to Practitioners—This paper is motivated by the observation that automobile industries tried to integrate emergency suppliers from which spare parts have different quality into maintenance schedules to avoid stockout and reduce equipment failure during the Covid-19 pandemic. Specifically, the article focuses on balancing the trade-offs between condition-based maintenance and inventory management from two suppliers with different lead times and spare parts quality for multi-unit systems. On the one hand, effective maintenance scheduling relies on spare parts for replacement to ensure the stability of production. On the other hand, inventory management needs to select the supplier with appropriate lead time and product quality to reduce the ordering cost and avoid stockout based on the degradation states of equipment. The joint optimization of these two aspects serves to reduce the total maintenance and ordering cost. Nevertheless, most existing research aims to optimize them separately. In this paper, we formulate the joint decision problem considering the two aspects based on a Markov decision process. We obtain an optimal maintenance and ordering policy by an exact value iteration algorithm and present heuristics to improve the computation efficiency when the system contains multiple machines. Practitioners can implement the proposed methodology to make condition-based maintenance and inventory management when spare parts with different qualities are ordered from two suppliers. To balance cost and computational efficiency, it is suggested to implement the optimal policy by an exact value iteration algorithm when the number of machines is small in the system and use the heuristic methods when the number of machines is large (i.e., usually larger than 3). IEEE
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The global novel coronavirus pneumonia has brought great impact on people's daily life, and has also strengthened the importance of health care and public health in various countries. This design is a whole body disinfection device designed for public space and semi public space. It uses ergonomics, modular design and other concepts to develop an epidemic prevention and control product that is easy to assemble, move and keep, intuitive to use and fast to run. Such epidemic prevention and control products are relatively rare in the market. This design aims to help China and even the world improve the public health and safety of public space and semi public space with large population flow and density in the post epidemic era, and to quickly assemble, emergency and carry out epidemic prevention and control in case of large-scale respiratory tract infectious diseases in the future, To avoid the spread of the virus in the dense population, to achieve early detection, early prevention. © 2022 IEEE.
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Modern manufacturing enterprises must be agile to cope with sudden demand changes arising from increased global competition, geopolitical factors, and unforeseen circumstances such as the Covid-19 pandemic. Small- and Medium-Sized Enterprises (SMEs) in the manufacturing sector lack agility due to lower penetration of Information Technology (IT) and Operational Technology (OT), the inability to employ highly skilled human capital, and the absence of a formal innovation ecosystem for new products or solutions. In recent years, Cloud-based Design and Manufacturing (CBDM) has emerged as an enabler for product realization by integrating various service-based models. However, the existing framework does not thoroughly support the innovation ecosystem from concept to product realization by formally addressing economic challenges and human skillset requirements. The present work considers the augmentation of the Design-as-a-Service (DaaS) model into the existing CBDM framework for enabling systematic product innovations. The DaaS model proposes to connect skilled human resources with enterprises interested in transforming an idea into a product or solution through the CBDM framework. The model presents an approach for integrating human resources with various CBDM elements and end-users through a service-based model. The challenges associated with successfully implementing the proposed model are also discussed. It is established that the DaaS has the potential for rapid and economical product discovery and can be readily accessible to SMEs or independent individuals. [ FROM AUTHOR] Copyright of Journal of Mechanical Design is the property of American Society of Mechanical Engineers 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 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 . (Copyright applies to all s.)
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The 2023 edition of Heimtextil—the world's largest international trade fair for home and contract textiles—was held at the Messe Frankfurt Exhibition Center in Frankfurt, Germany, during January 10-13, 2023. There was a noticeable buzz at the fair, even though economic and political uncertainties continued to affect the textile industry. In particular, businesses were faced with ongoing challenges as a result of the impact of the COVID-19 pandemic and the war in Ukraine. A key attraction for visitors attending the fair was the Trend Space—an immersive exhibition area which was dedicated to the presentation of design trends in architecture, art, fashion, furniture, interior design and textiles. The overall design theme for the Trend Space was Textiles Matter, which was chosen to encourage visitors to focus on the full life cycle of textiles, starting from the cultivation or manufacture of fibres and continuing through to a product's afterlife. The theme is based on the Ellen MacArthur Foundation's principles of a circular economy which outlines two significant material cycles involved in circularity. One of the two cycles is the biological cycle, whereby organic materials are kept in a continuous loop—ie returned to earth—using processes such as composting and biodegradation. The other cycle is the technical cycle, whereby inorganic materials are kept in a continuous loop using processes such as reuse, repair, remanufacture and recycling. The theme was presented as a collection of four trends. Two of the trends were inspired by the biological cycle and were named From Earth and Nature Engineered. The other two trends were inspired by the technical cycle and were named Make and Remake, and Continuous. © Textiles Intelligence Limited 2023.
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• PrefaceIt is our privilege to present the proceedings of the two-day online Conference entitled "International Conference on Advanced Earth Sciences and Foundation Engineering (ICASF-2022)”.The Conference was held virtually considering COVID–19 pandemics, ensuing gathering, and travel restrictions in the nation and worldwide. Yet, despite the issues, the virtual ICASF-2022 took place on 23rd and 24thJune 2022 and attracted a more significant number and diverse mix of attendees than it would have done as per expectations. The Organizers, i.e., ChandigarhUniversity, Mohali, India, which runs the event, seek to promote international collaborations in Research and Innovation. The Conference was delivered through ZOOM Cloud Meeting technology. More than 200 extra individuals signed upto ICASF-2022 over the guests, presenters, and invited attendees because of easier online access. Collectively more than 450 people attended from 15 countries. The Conference had delegates, participants, and attendees from Tanzania, South Africa, Kazakhstan, Russia, Afghanistan, Bangladesh, Bhutan, Nepal, and European countries some of whom might not otherwise have come because of the distance and time constraints in traveling. The Conference consists of six sessions, including inaugural and valedictory. Prof. (Dr.) Mikhael Bechelany from CNRS, France, Trinidad graced the plenary session along with Prof. (Dr.) Luminita Andronic, Professor at the Product Design and Environment Faculty, Transilvania University of Brasov, Romania, Prof. (Dr.) Valeria De Matteis, Professor at the Department of Mathematics and Physics "Ennio De Giorgi” of the University of Salento, Lecce (Italy), and Prof. (Dr.) Siraj Muhammed Pandhiani, Professor in the Department of General Studies, Jubail University College, Saudi Arabia. Furthermore, Four Keynote addresses were given by researchers and scientists from NIT, Kurukshetra, GHRCEM, Pune, National Agri-Food Biotechnology Institute, Mohali, Punjab, Chaudhary Charan Singh Haryana Agriculture University, Haryana. Overall, 130 paper presentations were delivered by authors in four conference technical sessions. Authors were facilitated with 15 minutes to present their papers, followed by 5 minutes of discussion and query session. The paper presentation and discussion emphasized incorporating Advanced Earth Science and Foundation Engineering, and compatibility withconstruction. The national and international research scenario on Advanced Earth Science and Foundation Engineering seeks to reduce negative impacts on the ecosystem, modern era development, and Future possibilities for sustainability. Thereby role play in Sustainable Development Goals. The primary objectives of today's development are reducing the consumption of non-renewable resources, minimizing waste, and creating a healthy environment. Consequently, interdisciplinary and integrated innovations have resulted in numerous smart solutions. This event provided a forum for researchers from different scientific and engineering fields to deliberate and collaborate at national and international levels for translating research into intelligent possibilities to make human life better.Chandigarh University, Gharuan, the leading university in research and Innovation in India, sponsored this Conference. This Conference provided an opportunity for in-depth technical discussions and the exchange of innovative ideas on a wide range of possibilities to explore the potential of their applications in industry and society. Moreover, young researchers were exposed to emerging trends and research areas that have significant technical and scientific importance for sustainable development.List of Conference photographs, Sponsoror funding acknowledgements, committees/participants are available in this Pdf.