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Journal articles on the topic 'Development Lifecycle Optimization'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Olgaç, Ahmet Vehbi, Erkan Zileli, Gökhan Karadaş, Ceren Ulus, and M. Fatih Akay. "Development of internal developer platform for software development lifecycle optimization." Edelweiss Applied Science and Technology 9, no. 6 (2025): 2815–26. https://doi.org/10.55214/25768484.v9i6.8494.

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New technologies are constantly developing, processes are progressing rapidly, and many items that need to be followed and managed are emerging. In this context, the need for new approaches to increase efficiency, collaboration, and innovation for software development and technology teams is constantly increasing. The Internal Developer Platform (IDP) is a solution to meet these needs. This study aims to develop an IDP that supports development activities and application needs at Trendyol. A platform has been developed that provides a unified and integrated environment, empowering developers,

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Lawand, Lydia, Khalil Al Handawi, Massimo Panarotto, Petter Andersson, Ola Isaksson, and Michael Kokkolaras. "A Lifecycle Cost-Driven System Dynamics Approach for Considering Additive Re-Manufacturing or Repair in Aero-Engine Component Design." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (2019): 1343–52. http://dx.doi.org/10.1017/dsi.2019.140.

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AbstractAero-engine component design decisions should consider re-manufacturing and/or repair strategies and their impact on lifecycle cost. Existing design approaches do not account for alternative production technologies such as the use of additive manufacturing in life extension processes. This paper presents a modeling and optimization methodology for examining the impact of design decisions in the early development stage on component lifecycle cost during the in-service phase while considering the potential use of additive manufacturing in life extension strategies. Specifically, a system

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Romero, Victor J., Alberto Sanchez-Lite, and Gerard Liraut. "Development of a Multi-Criteria Design Optimization Methodology for Automotive Plastics Parts." Polymers 14, no. 1 (2021): 156. http://dx.doi.org/10.3390/polym14010156.

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The plastic industry is undergoing drastic changes, due to the customer sustainability perception of plastics, and the eruption of new processes (such 3D printing) and materials (such as renewably sourced resins). To enable a fast transition to high-quality, sustainable plastic applications, a specific methodology could be a key competitive advantage. This novel methodology is focused on improving the objectivity and efficiency of plastic production and the design review process. It is applicable to discrete optimization events in any product lifecycle milestone, from concept design to serial

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Jain, Geerisha. "Application of Machine Learning in Drug Discovery and Development Lifecycle." International Journal of Medical, Pharmacy and Drug Research 6, no. 6 (2022): 16–35. http://dx.doi.org/10.22161/ijmpd.6.6.4.

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Machine learning and Artificial Intelligence have significantly advanced in recent years owing to their potential to considerably increase the quality of life while reducing human workload. The paper demonstrates how AI and ML are used in the drug development process to shorten and enhance the overall timeline. It contains pertinent information on a variety of Machine Learning approaches and algorithms that are used across the whole drug development process to speed up research, save expenses, and reduce risks related to clinical trials. A range of QSAR analysis, hit finding, and de novo drug

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Shahzad, Basit, Fazal-e-Amin, Ahsanullah Abro, Muhammad Imran, and Muhammad Shoaib. "Resource Optimization-Based Software Risk Reduction Model for Large-Scale Application Development." Sustainability 13, no. 5 (2021): 2602. http://dx.doi.org/10.3390/su13052602.

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Software risks are a common phenomenon in the software development lifecycle, and risks emerge into larger problems if they are not dealt with on time. Software risk management is a strategy that focuses on the identification, management, and mitigation of the risk factors in the software development lifecycle. The management itself depends on the nature, size, and skill of the project under consideration. This paper proposes a model that deals with identifying and dealing with the risk factors by introducing different observatory and participatory project factors. It is assumed that most of t

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Shen, Xinxin. "Research on Optimizing the Carbon Footprint of Products Based on Identifier Resolution." Advances in Economics, Management and Political Sciences 103, no. 1 (2024): 121–26. http://dx.doi.org/10.54254/2754-1169/103/20242360.

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Abstract: This article takes a certain refrigerator of Haier Company as the research object and conducts an in-depth discussion on its carbon footprint throughout the full lifecycle. To achieve accurate tracking and calculation of the carbon footprint of the refrigerator's full lifecycle, this article adopts Handle and Ecode identification and resolution technologies. It establishes corresponding identification coding rules for key points throughout the lifecycle of refrigerator production, transportation, usage, and recycling, and designs a set of identification coding schemes for each stage

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Shazia, Hassan*1 SanaZia Hassan2. "Quantum Technology Application in product Development for Sustainability." International Journal of Scientific Research and Technology 2, no. 5 (2025): 408–16. https://doi.org/10.5281/zenodo.15426531.

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Advancements in quantum computing have the potential to revolutionize sustainable product design through the rapid and efficient processing of complex environmental, economic, and manufacturing data. This review examines a breadth of literature discussing the integration of quantum-inspired algorithms in lifecycle assessment (LCA) and circular economy optimization, revealing both opportunities and challenges in product development for sustainability. The study employs systematic literature review methods and critical case study analyses, providing insights into methodological frameworks, succe

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Marconnet, Bertrand, Frédéric Demoly, Davy Monticolo, and Samuel Gomes. "An assembly oriented design and optimization approach for mechatronic system engineering." International Journal for Simulation and Multidisciplinary Design Optimization 8 (2017): A7. http://dx.doi.org/10.1051/smdo/2016016.

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Today, companies involved in product development in the “Industry 4.0” era, need to manage all the necessary information required in the product entire lifecycle, in order to optimize as much as possible the product-process integration. In this paper, a Product Lifecycle Management (PLM) approach is proposed, in order to facilitate product-process information exchange, by considering design constraints and rules coming from DFMA (Design For Manufacturing and Assembly) guidelines. Indeed, anticipating these manufacturing and assembly constraints in product design process, reduces both costs and

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Hammerschmid, Martin, Daniel Cenk Rosenfeld, Alexander Bartik, Florian Benedikt, Josef Fuchs, and Stefan Müller. "Methodology for the Development of Virtual Representations within the Process Development Framework of Energy Plants: From Digital Model to Digital Predictive Twin—A Review." Energies 16, no. 6 (2023): 2641. http://dx.doi.org/10.3390/en16062641.

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Digital reflections of physical energy plants can help support and optimize energy technologies within their lifecycle. So far, no framework for the evolution of virtual representations throughout the process development lifecycle exists. Based on various concepts of virtual representations in different industries, this review paper focuses on developing a novel virtual representation framework for the process development environment within the energy sector. The proposed methodology enables the continuous evolution of virtual representations along the process development lifecycle. A novel de

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O.Feriyanto, Riska Saumira Amanda, Citra Rahayu, Lusiana Lusiana, Okeu Kusmayanti, and Shalma Ayu Miranda P. "Optimasi Proses Bisnis Akuntansi Melalui Tahapan System Development Lifecycle Yang Efisien." Ekonomi Keuangan Syariah dan Akuntansi Pajak 1, no. 3 (2024): 262–71. http://dx.doi.org/10.61132/eksap.v1i3.289.

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This research focuses on optimizing accounting business processes through efficient stages of the System Development Lifecycle (SDLC). SDLC is a framework used to plan, develop, test, and maintain accounting information systems. In this study, each stage of the SDLC is analyzed to identify steps that can enhance the efficiency and effectiveness of accounting systems. The research method used is SDLC with a Waterfall approach, involving the stages of planning, analysis, design, implementation, testing, and maintenance. The results show that applying a structured SDLC can help companies manage a

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Bormotov, A. S., E. K. Sharipova, K. A. Chudinov, and I. A. Vikhrev. "OPTIMIZATION OF THE TOOL MANAGEMENT SYSTEM IN THE IMPLEMENTATION THE PROJECT LIFECYCLE MANAGEMENT CONCEPT AT THE ENTERPRISES OF THE “ALMAZ – ANTEY”." Spravochnik. Inzhenernyi zhurnal, no. 322 (January 2024): 39–46. http://dx.doi.org/10.14489/hb.2024.01.pp.039-046.

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Production project lifecycle management is a complex and capacious process of development, planning and production. The concept of the project life cycle, lifecycle management strategy and its structuring are considered. The relevance of the implementation of the concept to optimize the tool management system at the enterprises of the “Almaz – Antey” ASD Corporation” has been formulated. Software products of lifecycle management control system are considered. An Ishikawa causal diagram assessing the problem of the current tool management system is presented. A map of the flow of creating the v

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Orimi, Atefeh Gooran, Sascha Saralajew, Jiatai Feng, et al. "Human-AI Teaming in a Digital Twin Model for Virtual Product Development." Zeitschrift für wirtschaftlichen Fabrikbetrieb 120, s1 (2025): 76–84. https://doi.org/10.1515/zwf-2024-0141.

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Abstract Digital Twin Models (DTMs) are key to Industry 4.0, improving manufacturing and product development through AI. They enable real-time monitoring, predictive maintenance, and optimization across the product lifecycle. However, none human-comprehensible AI algorithms, especially deep neural networks, present challenges. In this regard, this study explores human-AI collaboration to create an AI-driven DTM for virtual product development. We propose a DTM that combines AI and expert knowledge to enable informed decision-making for product design optimization. For this, the architecture an

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Surve, Vrushali A., Viral Chavan, and Priyank Makwana. "Leveraging Data Science for Sustainable Material Management: Predictive Analytics and Optimization for Waste Reduction and Lifecycle Extension." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43577.

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This paper investigates the integration of data science methodologies into sustainable material management, aiming to reduce waste and extend the lifespan of materials. By leveraging advanced analytical techniques—including machine learning and predictive analytics—the study examines material degradation patterns and resource flow dynamics within industrial ecosystems. Analysis of diverse datasets from manufacturing processes, environmental sensors, and lifecycle databases enabled the development of a predictive maintenance model and an optimization framework for recycling and reprocessing. Re

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O'rinboev, Abdushukur Abdurakhimovich. "ANALYZING THE EFFICIENCY AND PERFORMANCE OPTIMIZATION TECHNIQUES OF REACT.JS IN MODERN WEB DEVELOPMENT." ZDIT 2, no. 24 (2023): 54–57. https://doi.org/10.5281/zenodo.8339916.

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This topic explores the efficiency and performance optimization techniques associated with React.js, a popular JavaScript library for building user interfaces. React.js has gained widespread adoption in modern web development, and this analysis delves into strategies and best practices for enhancing its efficiency. It investigates various aspects of React.js development, including virtual DOM manipulation, component lifecycle management, and state management. By examining these techniques, developers can gain insights into how to create faster, more responsive web applications and deliver a sm

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Dosumu, Remilekun Enitan, Oyeronke Oluwatosin George, and Christiana Onyinyechi Makata. "Data-Driven Customer Value Management: Developing a Conceptual Model for Enhancing Product Lifecycle Performance and Market Penetration." International Journal of Management and Organizational Research 2, no. 1 (2023): 261–66. https://doi.org/10.54660/ijmor.2023.2.1.261-266.

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This paper explores the development of a conceptual model for Data-Driven Customer Value Management (CVM) aimed at enhancing product lifecycle performance and market penetration. The proposed model integrates customer insights, data analytics, and product lifecycle management to create a comprehensive framework for maximizing customer value throughout the product journey. It emphasizes the importance of data collection, personalization, segmentation, and cross-functional collaboration in driving customer engagement, loyalty, and retention. By leveraging advanced technologies such as CRM system

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Angelov, Kamen. "Main Architectures Used in ETL as a Tool, Necessary for the Integration of Data in Large Volumes - a Task in the Field of Digital Preservation of Cultural Heritage." Digital Presentation and Preservation of Cultural and Scientific Heritage 6 (September 30, 2016): 129–36. http://dx.doi.org/10.55630/dipp.2016.6.12.

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The digital recording of Cultural Heritage (CH) and its metadata relates to the concept for data warehousing systems and their lifecycle. It uses models and development tools of ETL packages. The tasks used to extract metadata from raw digitized CH data often include hard computing problems, including NP-complete problems. This paper describes the current state of digital preservation of Cultural Heritage with an accent on data integration and performance optimization of processes. We show our vision for further solutions for automated optimization of resource utilization in ETL jobs cutting d

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Tian, Wenjun. "The Application of Modern Digital Design and Manufacturing Technologies in Sports Equipment Design." International Journal of Mechanical and Electrical Engineering 4, no. 3 (2025): 54–60. https://doi.org/10.62051/ijmee.v4n3.06.

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The integration of digital design and manufacturing technologies has revolutionized sports equipment production, improving efficiency, precision, and customization. This study explores the role of CAD, CAE, and 3D printing in enhancing design accuracy and reducing development cycles, while highlighting intelligent manufacturing’s impact on cost reduction and resource optimization. Personalized equipment production, driven by 3D printing and consumer data, is examined alongside simulation technologies for performance testing and iterative optimization. Furthermore, real-time data feedback and l

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Sharma, Rahul. "Data Structure Profiler Using MERN Technology." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34507.

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Profiler introduces a cutting-edge approach to efficiently manage and track Data Structures and Algorithms (DSA) in software development projects. In the realm of modern software engineering, where complexity is ubiquitous and scalability is critical, effective management of DSAs is essential for ensuring the robustness, maintainability, and performance of software systems. DSA Profiler seamlessly integrates into the development lifecycle, offering developers a centralized platform to meticulously document, organize, and monitor the implementation of various data structures and algorithms with

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Bt Mohamed Ali, Nasly, Nima Amani, and Roslida Abd Samad. "Developing a Framework of Economic Model for Building Component Lifecycle Repair." Advanced Materials Research 255-260 (May 2011): 3893–97. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.3893.

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Building component maintenance management is one of the most important issues in management of building lifecycle costs. Key to successful maintenance management is the ability to survey present condition and predict future condition for each component and facility present in a building. One of the methods is condition-based. This paper reflects on the condition index progress in repair system and maintenance of building facility by research in similar subjects and looks specifically at the use of condition index (CI) as a development tool. The result of research can be published as a guide to

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Helman, Joanna, Maria Rosienkiewicz, Mariusz Cholewa, Mateusz Molasy, and Sylwester Oleszek. "Towards GreenPLM—Key Sustainable Indicators Selection and Assessment Method Development." Energies 16, no. 3 (2023): 1137. http://dx.doi.org/10.3390/en16031137.

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Regulations, depletion of natural resources and changing customer demands are putting pressure on manufacturing companies to consider environmental issues in the development of new products. Companies are using PLM systems to manage the product lifecycle, but the current generation of these systems is not adequately adapted to product sustainability issues. The research results presented in this article are intended to support two target groups: academia and industry. The main scientific objective is to provide a systematic method for selecting and evaluating sustainability indicators related

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Wu, Liangzi, and Jiawei Leng. "Research on Optimisation Strategies of Green and Low Carbon Urban Renewal Buildings Based on Digital Platforms." E3S Web of Conferences 618 (2025): 01009. https://doi.org/10.1051/e3sconf/202561801009.

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This research explores the role of digital platforms in enhancing green and low-carbon urban renewal and building optimization. The study, through various methods, develops a comprehensive building optimization strategy system based on digital platforms, integrating technologies like big data and AI, offering new opportunities for construction lifecycle management[1][2]. Case studies show significant energy savings and carbon reduction, highlighting the platforms' key role in design optimization[3]. The study concludes that advancing digital platforms will further green construction industry d

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Salayeva, Quvonchoy. "LEVERAGING ARTIFICIAL INTELLIGENCE FOR ECONOMIC DEVELOPMENT: INNOVATIONS IN CIRCULAR ECONOMY AND WASTE REDUCTION STRATEGIES." Ilgʻor iqtisodiyot va pedagogik texnologiyalar 2, no. 3 (2025): 205–12. https://doi.org/10.60078/3060-4842-2025-vol2-iss3-pp205-212.

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The integration of Artificial Intelligence (AI) into the circular economy offers transformative solutions to the global challenge of waste management. This article explores the role of AI-driven innovations in promoting waste reduction, resource optimization, and sustainability. Through case studies such as AMP Robotics in the U.S. and ZenRobotics in Finland, the study analyzes how AI enhances waste sorting, recycling efficiency, and product lifecycle management. The findings underscore that AI not only contributes to environmental sustainability but also promotes economic opportunities by opt

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Koshechkin, Konstantin A., Georgiy S. Lebedev, Eduard N. Fartushnyi, and Yuriy L. Orlov. "Holistic Approach for Artificial Intelligence Implementation in Pharmaceutical Products Lifecycle: A Meta-Analysis." Applied Sciences 12, no. 16 (2022): 8373. http://dx.doi.org/10.3390/app12168373.

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Recent developments in Digital Medicine approaches concern pharmaceutical product optimization. Artificial Intelligence (AI) has multiple applications for pharmaceutical products’ lifecycle, increasing development speed, quality of the products, and efficiency of the therapy. Here, we systematically review the overall approach for AI implementation in pharmaceutical products’ lifecycle. The published studies in PubMed and IEEE Xplore were searched from inception to March 2022. The papers were screened for relevant outcomes, publication types, and data sufficiency, and a total of 73 (1.2%) out

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Li, Jiachen, Hua Chen, Long Wang, et al. "The Application of Intelligent Construction Technology to Modern Wood Structures in China: A Critical Review." Buildings 15, no. 4 (2025): 535. https://doi.org/10.3390/buildings15040535.

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This paper explores the current application status and development trends of intelligent construction technologies in modern timber structures in China. By using VOSviewer software for bibliometric analysis, the research focused on three key areas: BIM technology, machine vision, and lifecycle information management. The study found that BIM technology has significantly improved the design accuracy and construction efficiency of timber buildings through 3D visualization, parametric design, and interdisciplinary collaboration. Machine vision technology enhances the quality control and damage as

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Goloshchapova, Lyudmila V., Svetlana V. Markova, and Almaz R. Galyaviyev. "DEVELOPMENT AND EVALUATION OF DIGITAL TWINS’ EFFECTIVENESS IN INDUSTRIAL ECONOMY." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 5/8, no. 158 (2025): 184–94. https://doi.org/10.36871/ek.up.p.r.2025.05.08.020.

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Digital twins are becoming a key element in the digitalization of industrial production, enabling integration of physical and virtual environments throughout the product and process lifecycle. This article explores the principles of digital twin design, their classification, and application areas in the context of improving operational efficiency and strategic sustainability of enterprises. The paper analyzes the economic impact of digital twins, including cost reduction, productivity growth, downtime reduction, and maintenance optimization. It also proposes approaches to assess the economic e

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Abhishek, Sahu* Prem Samundre Dr. Jitendra Banweer. "AI in Drug Discovery and Development." International Journal of Pharmaceutical Sciences 3, no. 5 (2025): 2510–15. https://doi.org/10.5281/zenodo.15426727.

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Artificial intelligence (AI) is revolutionizing the landscape of drug discovery and development by accelerating timelines, reducing costs, and improving the precision of therapeutic design. From target identification to lead optimization and clinical trial design, AI-driven approaches—such as machine learning, deep learning, and natural language processing—are enhancing the efficiency and predictive power of each stage in the pharmaceutical pipeline. This review explores the current applications of AI across the drug development lifecycle, with a focus on virtual screening, de novo

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Romero-Obon, Miquel, Virginia Sancho-Ochoa, Khadija Rouaz-El-Hajoui, et al. "Scale-Agnostic Models Based on Dimensionless Quality by Design as Pharmaceutical Development Accelerator." Pharmaceuticals 18, no. 7 (2025): 1033. https://doi.org/10.3390/ph18071033.

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This comprehensive review of the synergistic use of Quality by Design (QbD) and the Pi–Buckingham theorem explores an innovative approach to enhancing product development and process optimization within the pharmaceutical industry. QbD is a systematic, proactive methodology that integrates quality considerations throughout the product lifecycle to ensure that pharmaceutical products meet regulatory standards for safety and efficacy from the outset of development. The Pi–Buckingham theorem serves as a foundational principle in dimensional analysis, facilitating the simplification of complex mod

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Feng, Xiaoqi, Peiyuan Tao, and Peng Yao. "Landscape Architecture Carbon Emission Lifecycle Management Tool Based on Artificial Intelligence." Advances in Engineering Technology Research 11, no. 1 (2024): 305. http://dx.doi.org/10.56028/aetr.11.1.305.2024.

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In the contemporary discourse, carbon emissions have emerged as a focal point of global concern due to their role in inducing climate warming and precipitating ecological collapse. The establishment of a comprehensive carbon emission management system, coupled with effective measures, holds the potential to mitigate climate change, safeguard ecological integrity, improve health conditions, and promote global sustainable development. The Carbon Lifecycle AI Project Management Tool (CLA) proposed in this paper makes use of Large Language Model (LLM) and image processing model to intelligently an

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Shiva Krishna Kodithyala. "Synergy of AI and human expertise: The new paradigm in platform engineering quality assurance." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 811–18. https://doi.org/10.30574/wjaets.2025.15.2.0636.

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This article explores the transformative role of artificial intelligence in platform engineering and quality assurance, introducing the concept of AI-Informed Testing as a paradigm shift beyond traditional automation. The article examines how AI-powered testing agents, machine learning models, predictive analytics, and integration with existing workflows collectively enhance the software testing lifecycle. Through an article analysis of implementation data across multiple industry sectors, the article demonstrates significant benefits in time-to-market acceleration, strategic resource allocati

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Dickopf, T., and C. Apostolov. "Closed-Loop Engineering Approach for Data-Driven Product Planning." Proceedings of the Design Society 2 (May 2022): 373–82. http://dx.doi.org/10.1017/pds.2022.39.

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AbstractThis contribution introduces an approach for data-driven optimization of products and their product generations through a Closed-Loop Engineering approach resulting from the German research project DizRuPt. The approach focuses on data-driven product planning by ensuring data consistency and traceability between product planning, product development, and product operation by combining aspects and functions from Product Lifecycle Management (PLM) and the Internet of Things (IoT). The presented approach is illustrated and validated by pilot applications from the research project.

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Nishant Kapoor. "AI-Powered Data Insights in Product Lifecycle Management: Driving Innovation and Efficiency." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 2072–81. https://doi.org/10.32628/cseit251112185.

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The integration of Artificial Intelligence in Product Lifecycle Management (PLM) is revolutionizing how organizations manage and optimize their product development processes. This comprehensive article examines the transformative impact of AI technologies on PLM systems, focusing on advanced analytics, process optimization, and intelligent decision support capabilities. It explores key technological implementations including machine learning applications, natural language processing, and computer vision integration, highlighting their roles in enhancing design accuracy and manufacturing effici

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Du, Yiying, Aleksandrs Korjakins, Maris Sinka, and Ina Pundienė. "Lifecycle Assessment and Multi-Parameter Optimization of Lightweight Cement Mortar with Nano Additives." Materials 17, no. 17 (2024): 4434. http://dx.doi.org/10.3390/ma17174434.

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With the growing global concerns regarding sustainable development in the building and construction industries, concentration only on the engineering properties of building materials can no longer meet the requirements. Although some studies have been implemented based on the lifecycle assessment of lightweight cement-based materials, very few attempts have been made pertaining to multi-criteria optimization, especially when fly ash cenospheres are used as lightweight aggregates and nano additives are incorporated as modifying admixtures. This investigation utilized cenospheres as fine aggrega

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Suddala, Swathi. "Automating the Data Science Lifecycle: CI/CD for Machine Learning Deployment." International Journal for Multidisciplinary Research 4, no. 6 (2022): 1–9. https://doi.org/10.5281/zenodo.15328138.

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The incorporation of Continuous Integration (CI) and Continuous Deployment (CD) into the machine learning (ML) lifecycle is essential for facilitating the effective transition of models from the development phase to production. Unlike conventional software, ML workflows face distinct challenges such as data versioning, model drift, hyperparameter optimization, and limitations in computational resources. This paper explores optimal practices for automating the data science lifecycle through CI/CD methodologies, focusing on critical elements like automated data validatio

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Ansari, Mohammed Afzal, and Kiran Bhimrao Ingle. "Software Testing." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 979–84. http://dx.doi.org/10.22214/ijraset.2022.43914.

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Abstract— With the developing complexity of today’s software program applications injunction with the increasing competitive pressure has driven the excellent assurance of developed software towards new heights. software program trying out is an inevitable part of the software program development Lifecycle and retaining in keeping with its criticality in the pre and submit development process makes it something that have to be catered with stronger and green methodologies and strategies. This paper objectives to speak about the prevailing in addition to advanced trying out techniques for the b

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G T Jyothehs Kumar, Dr. B.S.A. Andrews, Dr. V D N Kumar Abbaraju, and Dr. P. Sunil Reddy. "Advancing Analytical Excellence: A Comprehensive Exploration of ICH Q14 in the Lifecycle of Analytical Procedure Development and Optimization." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 10 (2024): 3090–98. http://dx.doi.org/10.47392/irjaem.2024.0456.

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This research article addresses the complexities of analytical process development and optimization in line with the principles set out in the Commission's Effectiveness of the Requirements for Medicinal Products for Human Use (ICH) Q14 guidelines. Focusing on the pharmaceutical and chemical industry, this article describes the early stages of development in terms of sustainable lifestyles. The first study explores the important role of analytical procedures in ensuring product quality and regulatory compliance, introduces ICH Q14 and explains its scope and objectives. The fundamental principl

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Tosin Samuel Oyetunji, Fasasi Lanre Erinjogunola, Rasheed O. Ajirotutu, Abiodun Benedict Adeyemi, Tochi Chimaobi Ohakawa, and Saliu Alani Adio. "A unified risk management framework for cost and resource optimization in housing development projects." Gulf Journal of Advance Business Research 3, no. 4 (2025): 985–97. https://doi.org/10.51594/gjabr.v3i4.130.

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The increasing demand for affordable housing has highlighted the need for more efficient project management strategies, especially in the face of rising costs, resource constraints, and regulatory complexities. This paper proposes a unified risk management framework designed to optimize cost and resource allocation in housing development projects. The framework integrates various risk management techniques, including risk identification, assessment, and mitigation, with cost control methods and resource optimization strategies. It emphasizes a dynamic, data-driven approach to evaluating and ma

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Agrawal, Arun Prakash, Ankur Choudhary, and Arvinder Kaur. "An Effective Regression Test Case Selection Using Hybrid Whale Optimization Algorithm." International Journal of Distributed Systems and Technologies 11, no. 1 (2020): 53–67. http://dx.doi.org/10.4018/ijdst.2020010105.

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Test suite optimization is an ever-demanded approach for regression test cost reduction. Regression testing is conducted to identify any adverse effects of maintenance activity on previously working versions of the software. It consumes almost seventy percent of the overall software development lifecycle budget. Regression test cost reduction is therefore of vital importance. Test suite optimization is the most explored approach to reduce the test suite size to re-execute. This article focuses on test suite optimization as a regression test case selection, which is a proven N-P hard combinator

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Li, Rong, Zalina Shari, and Mohd Zainal Abidin Ab Kadir. "A conceptual framework for multi-objective optimization of building performance: Integrating intelligent algorithms, simulation tools, and climate adaptation." Multidisciplinary Reviews 8, no. 12 (2025): 2025385. https://doi.org/10.31893/multirev.2025385.

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This study systematically examined recent research trends in multi-objective optimization (MOO) for building performance from 2020 to 2024 and proposed a conceptual framework integrating intelligent algorithms, simulation tools, and climate adaptation strategies. A thematic analysis of 40 peer-reviewed articles was conducted using ATLAS.ti, revealing three dominant research themes: intelligent algorithms, building performance simulation techniques, and adaptive design for climate change. Quantitative analysis highlights China’s prominent contributions to the field, while the thematic analysis

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Tong, Ze. "Optimization of Construction Engineering Projects by Lean Management." Applied and Computational Engineering 156, no. 1 (2025): 140–45. https://doi.org/10.54254/2755-2721/2025.mh25395.

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With the rapid development of the economy and technology, the construction industry needs to provide more advanced and high-quality solutions for larger-scale and more technically challenging projects. Traditional construction management models can no longer meet the demands of the modern era. Lean management, which focuses on reducing waste and optimizing processes, offers innovative approaches to cost control, resource coordination, and quality management in engineering. This article explores the specific applications of lean management in the entire project lifecycle, including the construc

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Obrecht, Matevz, Rawan El Haddad, Rowan Abd Elbary, Rebeka Kovačič Lukman, and Maja Rosi. "Promoting Sustainable and Circular Plastics Use in Egipt with Implementation of Ecodesign Principles." System Safety: Human - Technical Facility - Environment 1, no. 1 (2019): 441–48. http://dx.doi.org/10.2478/czoto-2019-0057.

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AbstractGreen Supply chain, Green Packaging, Eco-labels, and Eco-design strategies are concepts that are discussed frequently within scientific and political debates. Eco-design strategies for Lifecycle Design include the Eco-design Strategy wheel which presents eight Eco-design strategies: New concept development, Selection of low-impact materials, Reduction of materials usage, Optimization of production techniques, Optimization of distribution system, Reduction of impact during use, Optimization of initial lifetime, and Optimization of end-of-life system. This research investigates specifica

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Rao, Veera Venkata Krishnarjun. "Design of Battery Management System, Including Thermal Management and Optimizing Battery Life for Electric Vehicles." International Journal of Multidisciplinary Research and Growth Evaluation 6, no. 4 (2025): 625–29. https://doi.org/10.54660/.ijmrge.2025.6.4.625-629.

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The advancement towards electrified transportation calls for the critical need for advanced Battery Management Systems (BMS) that can reliably enhance the performance, safety, and increase the efficiency and lifespan of lithium-ion battery used in electric vehicles (EVs). This paper introduces a comprehensive BMS framework that seamlessly integrates intelligent thermal management with data-driven battery life optimization techniques. Conventional BMS architectures treat thermal regulation and lifecycle extension as separate entities, the proposed system employs a holistic approach continuously

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Malviya, Ashwani Kumar, Mehdi Zarehparast Malekzadeh, Francisco Enrique Santarremigia, Gemma Dolores Molero, Ignacio Villalba-Sanchis, and Victor Yepes. "A Formulation Model for Computations to Estimate the Lifecycle Cost of NiZn Batteries." Sustainability 16, no. 5 (2024): 1965. http://dx.doi.org/10.3390/su16051965.

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The increasing demand for electricity and the electrification of various sectors require more efficient and sustainable energy storage solutions. This paper focuses on the novel rechargeable nickel–zinc battery (RNZB) technology, which has the potential to replace the conventional nickel–cadmium battery (NiCd), in terms of safety, performance, environmental impact, and cost. The paper aims to provide a comprehensive and systematic analysis of RNZBs by modeling their lifecycle cost (LCC) from cradle to grave. This paper also applies this LCC model to estimate costs along the RNZB’s lifecycle in

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Li, Shuowei, and Chang Hong. "The Application of BIM Technology in Prefabricated Buildings." Highlights in Science, Engineering and Technology 106 (July 16, 2024): 493–500. http://dx.doi.org/10.54097/wd8j6658.

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With the rapid advancement of digital technology, Building Information Modeling (BIM) has shown exceptional potential in the field of prefabricated construction. This study deeply integrates BIM technology with various stages of prefabricated building, including design, manufacturing, construction, and operation, to achieve information management throughout the entire lifecycle of construction projects. Based on an extensive literature review of the current development of BIM technology and analysis of practical cases both domestically and internationally, this research explores the applicatio

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Zhao, Kuangzheng. "Optimization of Multi-Energy Complementary Building Energy Systems." Advances in Engineering Technology Research 14, no. 1 (2025): 1452. https://doi.org/10.56028/aetr.14.1.1452.2025.

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Under the dual impetus of the global energy crisis and carbon neutrality objectives, the construction sector, as a critical domain of energy consumption and carbon emissions, urgently requires green transformation through multi-energy complementary systems. This paper systematically reviews the coupling mechanisms, integration technologies, and synergistic optimization methodologies of multi-energy complementary building energy systems, elucidating their roles in enhancing energy efficiency, reducing lifecycle carbon emissions, and advancing net-zero energy building development. Research demon

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Yuan, Ke. "ChatGPT's Technology Application in the Higher Education Sector, Risk Analysis and Pathway Changes." Journal of Education and Educational Research 3, no. 3 (2023): 112–15. http://dx.doi.org/10.54097/jeer.v3i3.9635.

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After the emergence of ChatGPT, the role and development of artificial intelligence in the field of education has become a hot topic of discussion worldwide. Analyzing the core technical features and advantages of ChatGPT, we review and summarize the academic teaching and learning services supported by AI in four aspects: teaching content optimization, teaching process tutorial assistance, teaching method optimization, and academic paper writing, using the learning lifecycle as a framework, and look forward to 12 application scenarios combining ChatGPT's innovative technology with the higher e

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Siedler, Carina, Stephanie Dupont, Mona Tafvizi Zavareh, et al. "Maturity model for determining digitalization levels within different product lifecycle phases." Production Engineering 15, no. 3-4 (2021): 431–50. http://dx.doi.org/10.1007/s11740-021-01044-4.

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AbstractMaintaining pace with ongoing changes due to digitalization is challenging for manufacturing companies. For successful implementation of digitalization, manufacturing companies must consider their existing technical systems, organizational structures, and processes, as well as social aspects. With the support of a maturity model, a company-specific digitalization level can be evaluated to provide manufacturing companies with an initial insight into their particular status quo; this can serve as a starting point for future optimization and digitalization projects. Furthermore, the resul

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Adeniji, Tolulope Ayodele, and Samuel Ayooluwa Otolorin. "Leveraging AI in Application Integration and API Development." Journal of Advances in Mathematics and Computer Science 40, no. 7 (2025): 68–85. https://doi.org/10.9734/jamcs/2025/v40i72022.

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This research investigates the transformative role of artificial intelligence (AI) and generative AI in revolutionizing application integration and API development, addressing limitations of traditional methods and fostering intelligent, adaptive workflows. The study analyzes challenges in conventional integration such as data complexity, rigid workflows, skills shortages—and evaluates the applicability of AI technologies, including machine learning and natural language processing (NLP), while assessing organizational outcomes. A comprehensive literature review highlights AI’s evolution from m

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Venkataiah, V., M. Nagaratna, and Ramakanta Mohanty. "Application of Chaotic Increasing Linear Inertia Weight and Diversity Improved Particle Swarm Optimization to Predict Accurate Software Cost Estimation." International Journal of Electrical and Electronics Research 10, no. 2 (2022): 154–60. http://dx.doi.org/10.37391/ijeer.100218.

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Nowadays usage of software products is increases exponential in different areas in society, accordingly, the development of software products as well increases by the software organizations, but they are unable to focus to predict effective techniques for planning resources, reliable design, and estimation of time, budget, and high quality at the preliminary phase of the development of the product lifecycle. Consequently, it delivered improper software products. Hence, a customer loses the money, time, and not belief on the company as well as effort of teamwork will be lost. We need an efficie

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Ridwan, Firman, and Xun Xu. "Realization CNC Controller Enable Machine Condition Monitoring Architecture Based on STEP-NC Data Model." Advanced Materials Research 383-390 (November 2011): 990–94. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.990.

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The drive for increased productivity, reduced production time and cost, reduced defective parts and relaxed machine design constraints, pushes for real-time control and optimization for machining operations. This vision can be realized if the current CNC controllers can be adaptable, portable, interoperable and intelligent in responding quickly and efficiently in the product lifecycle domain. In this study, the development of a realization CNC controller enabled machine condition monitoring architecture based on STEP-NC data model to support an automated and intelligent machining environment i

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Ruan, Miaotao. "Analysis of Full Lifecycle Cost Management of Construction Projects in the Construction Phase." Academic Journal of Management and Social Sciences 7, no. 1 (2024): 1–3. http://dx.doi.org/10.54097/8291rb37.

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The purpose of this article is to conduct an in-depth analysis of the comprehensive cost management of engineering construction projects during the construction phase, discussing its significance and application in project management. Through an introduction outlining the research background and objectives, the concept, role, as well as relevant theories and methods of comprehensive cost management throughout the project lifecycle are introduced. Subsequently, a detailed presentation of the main aspects of comprehensive cost management during the construction phase is provided, including the b

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