Industrial Tools Research Articles

A study on media and information and traffic convergence in the digital age on consumption

The digital age is the age of productivity innovation. It is the era of industrial transformation and market development to satisfy the public's eyeball economy. Under traditional productivity, new products are often produced and introduced to the market and the public accepts and adapts to the new products, and those products that are not accepted by the public will be eliminated by the market. Now, in the emerging digital era, through data and its analysis, the product and market have begun to analyse the user and market pain points, according to user data to design and develop products for the needs of the user to enjoy at the same time for the data and traffic payment. This is "information consumption" and "data consumption". Poor information is the tool to make money in the current era. How to grasp the information and data of the user group and consumer demand becomes the key. Emerging media is the key to unlocking users' needs. The purpose of this study is to find the role of this key in the integration of information and traffic into consumption. The significance of this study is to deduce the relationship between media and the convergence of information and traffic to consumption in the digital age by analysing the case of the company. The result of this study is that the digital era has created advanced productivity, and the development of productivity has led to innovations in the means and tools of the media industry, which have contributed to the development of user needs. The media is the key to creating and capturing the needs of user groups. It is also the cornerstone for creating "information consumption" and "traffic consumption".

Lipid droplet distribution in Atlantic salmon (Salmo salar L.) oocytes is related to the fertilisation and developmental outcome

At present, there is no simple and practical applicable method to determine the quality of Atlantic salmon oocytes upon collection at the fish farm. Investigating oocyte lipid droplet patterns might be a tool for the aquaculture industry to predict oocyte quality in Atlantic salmon. While examining the lipid distribution in oocyte batches from 16 females of Atlantic salmon with a range in fertilisation rate (6–97 %), five categories of lipid droplet patterns were distinguished. In category 1, the lipid droplets were evenly distributed whereas in the remaining categories lipid droplets showed varying degree of coalescence. Categories 2, 3, 4 and 5 were distinguished based on the area of coalesced lipid droplets. The fertilisation rate was observed to be high (≥ 90 %), in females that had more oocytes from category 1, 2 and 3 whereas females with more oocytes from category 4 and 5 showed a low fertilisation rate (<90 %). A similar pattern was revealed between lipid droplet categories and eyed embryo and hatching success. Staining of salmon oocytes further confirmed the observed lipid droplet patterns, and different sizes of lipid droplets were present in almost all oocytes. The study revealed a significant association between lipid droplet category and fertilisation outcome in oocytes of Atlantic salmon that can be a practical tool for predicting oocyte quality.

Case Study on the Inherent Mechanisms Driving Industrial Innovation through Data Empowerment

In the context of the profound integration of big data, artificial intelligence technologies, and industries, both data resources and digital technologies became crucial pillars supporting the development of industrial innovation. They played key roles in enhancing the innovation capabilities of industries. In this regard, the present study employed the specific case of the intelligent brain of the Taizhou Machine Tool Industry. Utilizing grounded theory, the research integrated relevant data through coding analysis and category extraction to construct a comprehensive theoretical model of the intrinsic mechanisms driving industrial innovation through data empowerment. The study revealed that the realization of data-empowered industrial innovation followed a logical path of 'data resource services data capability spillover industrial innovation achievement.' Specifically, data empowerment operated across three dimensions: industrial resources, production, and ecology, effectively propelling the realization of industrial innovation. From a systematic perspective, this research analyzed the intrinsic mechanisms of data-empowered industrial innovation, deepening the theoretical understanding of industrial innovation. In the context of past industrial digitization transformation, these findings provided valuable insights for guiding industrial innovation development.

Artifacts and Anomalies in Raman Spectroscopy: A Review on Origins and Correction Procedures

Raman spectroscopy, renowned for its unique ability to provide a molecular fingerprint, is an invaluable tool in industry and academic research. However, various constraints often hinder the measurement process, leading to artifacts and anomalies that can significantly affect spectral measurements. This review begins by thoroughly discussing the origins and impacts of these artifacts and anomalies stemming from instrumental, sampling, and sample-related factors. Following this, we present a comprehensive list and categorization of the existing correction procedures, including computational, experimental, and deep learning (DL) approaches. The review concludes by identifying the limitations of current procedures and discussing recent advancements and breakthroughs. This discussion highlights the potential of these advancements and provides a clear direction for future research to enhance correction procedures in Raman spectral analysis.

Electroanalytical detection of fruit ethylene by a novel electroactive biosensing membrane

Purpose This study aims to present an innovative approach to detect and monitor ethylene gas during fruit ripening. Design/methodology/approach It uses a specialized composite membrane in conjunction with a solid-state electrochemical method. This unique electroactive membrane, composed of polyvinyl alcohol (PVA), chitosan (CHT), lithium chloride (LiCl) and ammonium molybdate (AMO), exhibits synergistic behavior when applied to a microelectrode chip surface. This composite enhances the sensitivity of electrochemical ethylene detection. Empirical experiments were conducted to elucidate the ripening kinetics in various fruit specimens, including apples, pears and mangoes. These fruits released ethylene, which was analyzed using the molybdenum-permeated electroactive biopolymer composite membrane, a critical determinant of ethylene levels. Findings Characterization of the synthesized composite through techniques such as X-ray diffraction and Fourier-transform infrared spectroscopy revealed reduced crystallinity and decreased hydrogen bond interactions upon activation with Mo ions. Field emission scanning electron microscopy images exhibited a distinctive porous surface morphology with spherical microgranules. Energy dispersive X-ray analysis indicated a significant change in the mass or atomic composition of Mo in the composite membrane after Mo ion activation. Electrochemical measurements, including cyclic voltammetry and potentiostatic electrochemical impedance spectroscopy, validated the efficiency of the Mo-activated PVA-CHT-LiCl-AMO membrane, manifesting an impressive 87.79% increase in sensitivity compared to the nonactivated membrane. Practical implications This research work represents a significant advancement in the field of ethylene detection and fruit ripening monitoring. The Mo-activated PVA-CHT-LiCl-AMO membrane offers a reliable and effective solution for real-time ethylene detection, providing an invaluable tool for the horticultural industry to optimize fruit ripening processes, extend shelf life and ensure the delivery of high-quality produce to consumers. Social implications The findings of this study hold great promise for fostering sustainability and efficiency within the global fruit supply chain, ultimately benefiting both producers and consumers alike. Originality/value The implications of this research extend to the fabrication of a sensor based on a solid-state electroactive PVA-CHT-LiCl-AMO composite membrane, which upon Mo-activation exhibits robust electrochemical fruit ethylene detection when exposed to different fruits.

Enhancing thread cutting performance with CNT-embedded micro textured tools

ABSTRACT This paper investigates the impact of a CNT-embedded textured tool on the thread-turning process. The study aims to optimize the efficiency and effectiveness of the thread-turning by utilizing this innovative tool. The experimental research explores the performance of the tool in terms of generated cutting forces. The findings contribute to understanding the potential benefits of integrating CNT-embedded textured tools in the manufacturing industry, particularly for thread-turning operations. This study demonstrates that the linear textured tool embedded with CNT solid lubricant exhibits a significant 36.8% reduction in cutting forces compared to conventional cutting inserts.

Tourists’ Experiences During the Covid-19 Pandemic in Plateau State, Nigeria: An Empirical Evaluation Using Chaos Theory

The safety of tourists’ health when visiting any tourism business is critical in tourism management and development. By using chaos theory, this study aimed to understand how 408 tourists in Plateau State, Nigeria, behaved toward tourism-related businesses during the COVID-19 pandemic. Completed and retrieved responses were analyzed descriptively using an inductive method, following a pragmatic approach. The findings of this investigation are consistent with chaos theory. Results from our survey indicate that 93% of tourists took precautions. This suggests that in an otherwise random and chaotic period of the tourism crisis, self-organization brought order and new stability. With a mean score of 40%, safety and hygiene were ranked as the two main influencing factors that changed tourists’ actual behaviour during the pandemic. The alteration in behaviour might be attributed to tourists’ awareness of their risk of catching the COVID-19 virus when visiting tourist attractions. Empirical evidence shows that non-interactive restriction techniques had a significant impact on tourist behaviour. Thus, the impact of the pandemic on tourists’ protective behaviour continues to play a part in tourists’ behaviour during and after the pandemic, implying that the chaos theory approach might be used as a crisis management tool in the tourism industry.

A phase field finite element study and evaluation of sulfide stress cracking in DCB specimen testing

The challenges presented by sour environments rich in hydrogen sulfide (H2S) underscore the necessity for a comprehensive understanding of material behavior under such conditions. The cracking susceptibility of metals and alloys used for subsurface equipment in downhole oil and gas exploration operations is particularly concerning. The NACE Double Cantilever Beam (DCB) test has emerged as a widely used quality assurance tool in the petroleum industry, leveraging fracture mechanics principles to assess the environment-assisted cracking (EAC) resistance of metals and alloys. The DCB test evaluates the fracture toughness KISSC of materials in H2S-containing environments via assessment of the crack arrest, which serves as a vital parameter in structural integrity assessments to mitigate the risk of service-related failures from sulfide stress cracking (SSC). However, various studies suggest that different test parameters, such as arm displacement and initial notch, significantly influence KISSC. This work presents a detailed numerical investigation on a comprehensive simulation of the DCB test, examining the effects of different test parameters on KISSC prediction. A coupled deformation-diffusion phase field framework is adopted to simulate SSC in DCB specimens arising from a complex interplay between material deformation, hydrogen diffusion, and fracture. The numerical results show good agreement with experimental results reported in the literature and provide deeper insights into the factors affecting crack growth and arrest in DCB testing.

PECULIARITIES OF MARKETING AND BRANDING IN THE CONFECTIONERY AND CAFE INDUSTRY

The purpose of this article is to determine the essence and theoretical features of marketing and branding in the confectionery and cafe industry, as well as the challenges associated with marketing activities in these establishments. The main research methods used in the article include induction, synthesis, analysis, comparison, and generalization. The specific features of marketing activities in confectioneries and cafes have been identified. The impact of marketing efforts on service delivery in these establishments has been studied. Key problems arising from marketing activities and brand promotion in confectioneries and cafes have been identified. Various tools used in marketing efforts within this industry, which constitute the marketing mix or marketing complex, have been explored. The peculiarities of developing a marketing plan for confectioneries and cafes using the “5R+1C” integrated marketing model, and elements of the marketing mix specific to the food industry, are discussed. The ecosystem of the internet marketing strategy for confectioneries and cafes is outlined. The necessity for increasing social media activity (SMM) and enhancing market recognition, as well as developing a user-friendly website with online table reservations and sweet order functionalities, has been emphasized. Directions for optimizing the digital strategy effectiveness for confectioneries and cafes, focused on improving brand recognition among target audiences, are proposed. Factors influencing the selection of Google’s contextual media network for the promotion of confectioneries and cafes are outlined. The required changes for social media pages and websites to enhance brand promotion are discussed. International experiences regarding the efficacy of business tools in the food industry, incorporating marketing concepts, are also explored. The main idea of advertising campaigns, centered around creating favorable conditions for customer purchases and replicating the brand’s style in every part of the establishment, is reviewed. The specifics of consumer loyalty, shaped by the brand’s appearance, communication, establishment design, and available offerings, are also examined.

PROBLEMS OF MANAGING TECHNOLOGICAL REGIMES IN GAS DISTRIBUTION NETWORKS AND MODERN APPROACHES TO THEIR SOLUTION

This article systematically discusses the problems of managing technological regimes in gas distribution networks and modern approaches to their resolution. The scientific-theoretical and practical aspects of managing gas distribution networks (GDN) are analyzed. Based on the obtained results, a scientifically grounded comparative explanation of the existing contradictions in modern and traditional gas distribution networks is provided, and the role of key factors in the emergence of these contradictions is investigated. It is shown that technological backwardness in traditional GDNs increases energy consumption and operational costs, thereby reducing the economic efficiency of the system and increasing the risk of accidents. The research suggests decision-making methods for solving management problems in traditional GDNs by maintaining the technical-structural level and implementing telemetry systems. It is indicated that the widespread use of telemetry and telemechanics tools in the gas distribution industry enhances the safe delivery of gas to end-users and significantly reduces service costs. Another focus of the research is on the issues related to the processing of spatial information for the management of the technical components of gas distribution systems. The article also analyzes scientific research dedicated to the application of modern IT methods and tools in the management of GDNs, investigating management and forecasting models using neural networks and intelligent methods. Keywords: Gas distribution networks, modern GDN networks, traditional GDN networks, GIS systems, digital technologies, technogenic risks, neural networks, forecasting methods

Study the Potential of Mineral Ceramics Based on Aluminium Oxide in Replacing Metal Alloys

Modern metal alloys used in the tooling industry often consist of expensive and rare metals, impacting affordability and sustainability. This research explores the potential of mineral ceramics, mainly composed of readily available aluminum oxide (Al2O3), as an alternative for high-performance engineering ceramics. This research highlights the advantages and disadvantages of mineral ceramics over various metal alloys. Further exploration could refine properties and expand industrial adoption, contributing to a more responsible and efficient materials landscape.

The essence and assessment of modern industrial policy

The state of modern economy is exposed to significant challenges from geopolitical risks and transformation of the process of industrial development, which requires determining the conditions for implementing modern industrial policy and changing directions and priorities of industrial development. Improvement of the ways of production, development of the system of social institutions takes place when solving the issues related to the development of science underlying the formation of new industries. The subject of the study is the transformation of industrial policy features in modern economy at various levels of interaction between government and business. The article examines the changes in industrial development and corresponding transformation of industrial policy tools in import substitution development. The study aims at determining the relationships between the directions and levels of implementing industrial policy in accordance with system analysis and identifying the key features in the relationship between business structures and the state. The theories of industrial development and the concepts of resource and process approaches to industrial development and implementation of innovative industrial policy provide the methodological basis of the study. The study uses the methods of system analysis and synthesis in identifying the key relationships between business structures and the state in achieving the goals of industrial development. The study defines the transformation of types, tools and system of indicators of industrial policy under the sanction pressure on the economy, identifies the possibilities of using the matrix system in managing industrial development, implemented at three levels (macro-, meso- and microeconomic) in interaction of business structures and public authorities, assesses the possibility of forming and conducting conservative industrial policy in the lack of scientific research funding. The findings can be used in assessing the priorities, directions and transformation of the tools used to implement an innovative model of industrial policy in the Russian economy, in the development of import substitution and formation of new industries, to form an effective interaction of innovation process and the process of industrial development of the national economy.

DF-YOLO: An attempt on enhancing generalization in fabric defect detection based on YOLO network

This article introduces Domain-fusion YOLO (DF-YOLO), a novel object detection network enhancing YOLOv5 series networks’ generalizability, particularly in fabric defect detection. DF-YOLO incorporates a unique feature extractor in its backbone, enhancing frequency domain feature perception alongside spatial information. Utilizing Fourier transform, the network better discerns fabric textures and anomalies, addressing traditional convolutional neural networks’ limited receptive field issue. Feature fusion and dimension reduction are applied for capturing latent features. In its neck, DF-YOLO integrates an improved BiFPN-based feature-fusion structure and CBAM attention mechanism, optimizing feature selection and fusion across scales. This mitigates information loss due to varying input resolutions and architecture depth. DF-YOLO marks a significant advancement in textile anomaly detection, improving generalization while maintaining efficiency. Its innovative approach benefits automated quality control, offering a sophisticated tool for industries requiring precise fabric inspection.

O PAPEL DAS COMPRAS PÚBLICAS EM DEFESA COMO O NOVO VETOR DE DESENVOLVIMENTO NACIONAL

This article discusses the importance of the defense industry as a driver of innovation and economic growth in the country. With the intensification of geopolitical challenges and the need to modernize the Armed Forces, Brazil has invested in acquisitions that encourage research and technological development. The proposed research analyzes how these strategic public purchases can not only strengthen military capacity, but also stimulate national industry, generating skilled jobs and promoting technology transfer. Collaboration between the government and the private sector is essential to maximize the benefits of these acquisitions, allowing technological advances to have a positive impact on various sectors such as health, energy and transport. In addition, these defense acquisitions can serve as an industrial policy tool, guiding investments in priority areas and contributing to the country's strategic autonomy. In this context, the research aims to demonstrate how defense acquisitions and orders are an essential vector for economic and technological development, with the potential to transform industrial capacity and national competitiveness in a global scenario.

Stone Tools in Shifting Sands: Past, Present, and Future Perspectives on the Châtelperronian Stone Tool Industry

The Middle to Upper Palaeolithic transition in France and northern Spain reflects the transition from Neandertals to Homo sapiens and the emergence of novel cultural entities and standardised blade and bladelet technologies between ~ 55 and 40 thousand years ago. The Châtelperronian stone tool industry represents the first unambiguous appearance of Upper Palaeolithic technologies in this region, and is traditionally considered as representing a geographically isolated archaeological entity produced by late Neandertals. However, debate as to the makers and origin of this industry has been ever-present. In recent years, fuel has been thrown onto this discussion through (a) the demonstration that the association between Neandertal remains and Châtelperronian artefacts at the key site of Saint-Césaire could not be reliable, (b) the identification of an immature Homo sapiens pelvic fragment in association with Neandertal remains and Châtelperronian artefacts at the Grotte du Renne (Arcy-sur-Cure), and (c) the formulation of a disruptive hypothesis in which the Châtelperronian directly originates from the Early Upper Palaeolithic of the Levant. In conjunction with the increasing evidence for a protracted presence of Homo sapiens across Europe, these observations have led to the arrival of an inflection point for the competing interpretations concerning the origin and implications of this industry. In this paper, we provide a critical review of the Châtelperronian in light of the emerging data—taking into account technological, chronological, geographic, stratigraphic, and genetic perspectives. First we provide a detailed, three-part historiography of this industry and a modern, synthetic review of Châtelperronian lithic technology. Our review reinforces the fact that the Châtelperronian is a fully Upper Palaeolithic industry with no ‘transitional’ nor Initial Upper Palaeolithic-type technological features. Subsequently, we highlight a series of prospects, problems, and uncertainties which remain to be addressed in discussions concerning the origins, maker(s), and implications of the Châtelperronian and the onset of the Upper Palaeolithic in western Europe. Finally, we propose a few potential paths forward and call for an open and critical approach towards the re-conceptualisation of the Châtelperronian in the years to come.

Investigation of the Use of Computer-aided Translation (CAT) Tools in Freelancing Practice in Saudi Arabia

To cope with large information content in today’s multilingual Saudi Arabia, translation services are essential. Like any other industry, translation practice was heavily affected by technological advances. Professionals in the translation field use technology like Computer-Aided Translation (CAT) tools to complete their translation tasks. Freelance translators are not exempt from this. This study examines the utilization of CAT tools in the freelance industry in Saudi Arabia. Fulford and Granell-Zafra (2005) have proposed a model that incorporates both information and Communication Technology (ICTs)and CAT tools, facilitating a diverse array of activities such as document creation, information search and retrieval, communication, business management, marketing, procurement, and translation. While CAT tools support document creation, business management, and translation, ICT tools are responsible for the remaining activates . This research aims to thoroughly analyze the characteristics of Saudi freelance translators who use CAT tools, evaluate their usage of CAT tools, and acquire valuable insights into their overall attitudes towards CAT tool. The data was gathered using the survey method and distributed among 98 Saudi freelance translators. The data was analyzed using SPSS descriptive analysis and frequency tables showing percentages of each respondent. The results show that Saudi freelance translators employed general-purpose software like MS Word and MS PowerPoint, whereas less interest was given to special-purpose software which represent CAT tools . The vast majority of the participants agreed on the positive effect of CAT tools. Finally,it may be beneficial to conduct further research to gain a more comprehensive understanding of the topic.

Artificial intelligence as a tool in drug discovery and development.

The rapidly advancing field of artificial intelligence (AI) has garnered substantial attention for its potential application in drug discovery and development. This opinion review critically examined the feasibility and prospects of integrating AI as a transformative tool in the pharmaceutical industry. AI, encompassing machine learning algorithms, deep learning, and data analytics, offers unprecedented opportunities to streamline and enhance various stages of drug development. This opinion review delved into the current landscape of AI-driven approaches, discussing their utilization in target identification, lead optimization, and predictive modeling of pharmacokinetics and toxicity. We aimed to scrutinize the integration of large-scale omics data, electronic health records, and chemical informatics, highlighting the power of AI in uncovering novel therapeutic targets and accelerating drug repurposing strategies. Despite the considerable potential of AI, the review also addressed inherent challenges, including data privacy concerns, interpretability of AI models, and the need for robust validation in real-world clinical settings. Additionally, we explored ethical considerations surrounding AI-driven decision-making in drug development. This opinion review provided a nuanced perspective on the transformative role of AI in drug discovery by discussing the existing literature and emerging trends, presenting critical insights and addressing potential hurdles. In conclusion, this study aimed to stimulate discourse within the scientific community and guide future endeavors to harness the full potential of AI in drug development.

Development of A Workplace Learning Model to Improve Skills Competency of Vocational School Students

This research aims to develop a workplace learning model to improve the catering skills of tourism vocational school students by building a conceptual foundation that considers the industrial situation. This development research uses Design-Based Research (DBR) comprising planning, learning interactions, and evaluation stages for students, supervisors, and instructors. This study analyzes data using qualitative and quantitative descriptive methods. This research produces industrial practical learning tools (WPL) in the form of guidebooks for teachers, instructors and students. How to study in industry, the implementation process, ideal criteria, and completion of study contracts are outlined. Increasing student catering skills competency through industrial learning based on a measurable field approach. How students can absorb, adopt tacit and explicit knowledge in industry is a value in itself. Research findings and concepts can be used for further development so that the quality of vocational education graduates can be considered.

Design and Technological Aspects of Integrating Multi-Blade Machining and Surface Hardening on a Single Machine Base

Modern mechanical engineering faces high competition in global markets, which requires manufacturers of process equipment to significantly reduce production costs while ensuring high product quality and maximum productivity. Metalworking occupies a significant part of industrial production and consumes a significant share of the world’s energy and natural resources. Improving the technology of manufacturing parts with an emphasis on more efficient use of metalworking machines is necessary to maintain the competitiveness of the domestic machine tool industry. Hybrid metalworking systems based on the principles of multi-purpose integration eliminate the disadvantages of monotechnologies and increase efficiency by reducing time losses and intermediate operations. The purpose of this work is to develop and implement a hybrid machine tool system and an appropriate combined technology for manufacturing machine parts. Theory and methods. Studies of the possible structural composition and layout of hybrid equipment at integration of mechanical and surface-thermal processes were carried out, taking into account the basic provisions of structural synthesis and componentization of metalworking systems. Theoretical studies were carried out using the basic provisions of system analysis, geometric theory of surface formation, design of metalworking machines, methods of finite elements, and mathematical and computer modeling. The mathematical modeling of thermal fields and structural-phase transformations during HEH HFC was carried out in ANSYS (version 19.1) and SYSWELD (version 2010) software packages using numerical methods of solving differential equations of unsteady heat conduction (Fourier equation), carbon diffusion (2nd Fick’s law) and elastic–plastic behavior of the material. The verification of the modeling results was carried out using in situ experiments employing the following: optical and scanning microscopy; and mechanical and X-ray methods of residual stress determination. Formtracer SV-C4500 profilograph profilometer was used in the study for simultaneous measurement of shape deviations and surface roughness. Surface topography was assessed using a Walter UHL VMM 150 V instrumental microscope. The microhardness of the hardened surface layer of the parts was evaluated on a Wolpert Group 402MVD. Results and discussion. The original methodology of structural and kinematic analysis for pre-design studies of hybrid metalworking equipment is presented. Methodological recommendations for the modernization of multi-purpose metal-cutting machine tool are developed, the implementation of which will make it possible to implement high-energy heating with high-frequency currents (HEH HFC) on a standard machine tool system and provide the formation of knowledge-intensive technological equipment with extended functionality. The innovative moment of this work is the development of hybrid metalworking equipment with numerical control and writing a unique postprocessor to it, which allows to realize all functional possibilities of this machine system and the technology of combined processing as a whole. Special tooling and tools providing all the necessary requirements for the process of surface hardening of HEH HFC were designed and manufactured. The conducted complex of works and approbation of the technology of integrated processing in real conditions in comparison with traditional methods of construction of technological process of parts manufacturing allowed to obtain the following results: increase in the productivity of processing by 1.9 times; exclusion of possibility of scrap occurrence at finishing grinding; reduction in auxiliary and preparatory-tasking time; and reduction in inter-operational parts backlogs.

Construction 4.0 in Refugee Camps: Facilitating Socio-Spatial Adaptation Patterns in Jordan’s Zaatari Camp

Though refugee camps are by definition “temporary”, many camps endure for decades, where individuals live full lives through childhood, marriage, children, grandchildren, and death. These settlements function no differently than cities in their social life, density, zoning, and operation, yet are “planned” through UNHCR (United Nations High Commissioner for Refugees) templates for camps. The Zaatari camp in Jordan for Syrian asylum seekers, for example, holds a population of 80,000. Rather than viewing refugee camps as temporary human warehouses, this article demonstrates that camps are spaces where individuals build social networks and economic activities flourish. As such, the camp planning templates should include adaptive Construction 4.0 technologies for more socially flexible settlements, even if the camps are considered “temporary”. This case study research on the Zaatari camp illustrates how refugees adapt their built environment, identifying adaptation patterns that enhance both livability and sustainability. The work illustrates social and environmental changes that require adaptive housing configurations. The conclusion suggests linking modern tools in the construction industry to empirically derived planning objectives to be efficiently executed in moments of crisis.