Journal of Advance Manufacturing System and Technology ISSN: 3107-8133 (Online)

Authors: Nandini Verma, Rohit Yadav

Abstract: Smart manufacturing is characterized by increased automation and interconnected systems. This paper examines the role of Distributed Control Systems (DCS) in enabling real-time decision-making and operational efficiency. Case studies from automotive and pharmaceutical industries illustrate the implementation and benefits of DCS in smart manufacturing setups.

Keywords: Distributed Control Systems, smart manufacturing, Industry 4.0, real-time decision-making, automation.

Author: Aditi Mehta

Abstract: Artificial intelligence (AI) has emerged as a powerful tool for predictive maintenance in industrial control systems, enabling the prediction of equipment failures before they occur. This paper explores the use of AI techniques, including machine learning, deep learning, and neural networks, to develop predictive maintenance models. The paper provides examples from the manufacturing, oil and gas, and transportation industries, where predictive maintenance has significantly reduced downtime and maintenance costs. The challenges of implementing AI in predictive maintenance, such as data quality and algorithm complexity, are also discussed.

Keywords: Predictive Maintenance, Artificial Intelligence, Machine Learning, Deep Learning, Industrial Control

Authors: Mr. Arjun Nair, Ms. Kavita Singh

Abstract: The Internet of Things (IoT) is revolutionizing industrial instrumentation by enabling real-time data collection, analysis, and remote control. This paper examines the development of IoT-based smart instrumentation systems and their impact on industrial automation. The paper covers various aspects of IoT integration, including sensor networks, data acquisition, and cloud-based control systems. Several examples from the oil and gas, manufacturing, and healthcare industries are presented to demonstrate how IoT-based systems improve operational efficiency and decision-making processes.

Keywords: IoT, Smart Instrumentation, Sensor Networks, Industrial Automation, Cloud Control

Author: Arvind Chandra

Abstract: Wireless sensor networks (WSNs) have become an essential component of modern industrial control systems. This paper discusses the design and implementation of WSNs in various industrial applications, including manufacturing, energy management, and environmental monitoring. Key challenges such as energy efficiency, data reliability, and network security are addressed. The paper also highlights recent advancements in low-power communication protocols, sensor miniaturization, and wireless data transmission, which have contributed to the growing use of WSNs in control engineering.

Keywords: Wireless Sensor Networks, Industrial Control, Energy Efficiency, Data Reliability, Communication Protocols

Authors: Amit Kumar, Pooja Verma, Ravi Singh

Abstract: Real-time data acquisition is critical for efficient control and monitoring of industrial processes. This paper delves into the design and implementation of real-time data acquisition systems (DAS) in control engineering. The focus is on the challenges of handling large datasets, ensuring low-latency data transmission, and optimizing sensor performance. The integration of DAS with cloud computing, IoT technologies, and edge computing is discussed to enhance system responsiveness. Several industrial applications, including energy management, chemical processing, and automation, are presented to showcase the benefits of real-time data acquisition.

Keywords: Real-Time Monitoring, Data Acquisition, Edge Computing, Cloud Integration, Low Latency

Author: Prof Dr. Nemailal Tarafder

Abstract: Purchasing new generations of machines for the purpose of enhancing productivity and quality through modern technology can increase the research and advancement for improvement of the industrial growth of the countries. In the textile industry technological innovations have been substantial especially during the last three decades since 1967 in the areas of machines, labour productivity, quality, costs and services. In the textile industry large amount of electricity, fuel and water uses with corresponding greenhouses gas emissions and also contaminated affluent. In order to reshape the prospect of the textile industry and garment manufacturing industry, technology plays the role of master architect. The scientific and technological innovations made a havoc change in the textile industry. A highly competitive market deals with constituents to propagate the changes in order to differentiate themselves and also attract a target part of the market. Innovation and application of nanotechnology in textile industry has changed the present market of growth trends. In the European Union alone the technical textile fulfils around 30% of the total turnover in the textile market. At present the textile industry made ground breaking scientific innovations. Nowadays, the textile industry is currently suffering from the area of threats and opportunities. 

Keywords: Product Quality, Greenhouse Gas, E-Marketing, Technology Trends, Fashion Trends, Sustainable Manufacturing.

Author: Rajesh Khanna

Abstract: Digital twin technology represents a revolutionary approach to enhancing advanced manufacturing systems by creating virtual replicas of physical assets, processes, and systems. This paper delves into the application of digital twins in manufacturing, highlighting their role in simulating, predicting, and optimizing production processes. The integration of digital twins allows for real-time monitoring and control, leading to improved efficiency, reduced downtime, and enhanced product quality. We analyze the components of digital twin systems, including data acquisition, modeling, and simulation, and provide examples of their application in different manufacturing sectors. The challenges associated with implementing digital twin technology, such as data integration, cybersecurity, and system complexity, are also discussed. The paper concludes with a discussion on the future prospects of digital twin technology in transforming manufacturing systems.

Keywords: Digital Twin, Real-time Monitoring, Simulation, Advanced Manufacturing, Data Integration

Authors: Dr. Arun Subramaniam, Prof. Kavita Mishra

Abstract: Cyber-physical systems (CPS) are pivotal in the evolution of advanced manufacturing systems, enabling enhanced connectivity, intelligence, and automation. This paper explores the integration of CPS in manufacturing, focusing on their role in connecting physical and digital components through the Internet of Things (IoT), sensors, and control systems. We discuss the architecture of CPS, including data acquisition, processing, and feedback mechanisms, and examine their application in smart factories, predictive maintenance, and autonomous manufacturing. The challenges of implementing CPS, such as cybersecurity risks, data management, and system interoperability, are also addressed. Case studies highlight the benefits of CPS in improving operational efficiency, reducing downtime, and enabling more adaptive manufacturing processes. The paper concludes by discussing the future potential of CPS to revolutionize manufacturing systems through increased connectivity and intelligence.

Keywords: Cyber-Physical Systems, Internet of Things, Smart Factories, Predictive Maintenance, Automation

Authors: Sunita Deshmukh, Rajesh R. Sharma

Abstract: Advanced robotics is transforming manufacturing systems by enabling higher levels of automation and fostering human-robot collaboration. This paper examines the role of advanced robotics in manufacturing, focusing on their capabilities for automating repetitive tasks, enhancing precision, and improving safety. We discuss the different types of advanced robots, including collaborative robots (cobots), autonomous mobile robots (AMRs), and robotic arms, and their applications in various manufacturing processes. The paper also explores the challenges of integrating advanced robotics, such as system complexity, high implementation costs, and the need for workforce retraining. Case studies are presented to illustrate the successful application of advanced robotics in enhancing productivity, reducing human error, and enabling flexible manufacturing. The future of advanced robotics in manufacturing holds significant promise, with potential advancements in AI and machine learning further enhancing their capabilities and collaboration with human workers.

Keywords: Advanced Robotics, Automation, Collaborative Robots, Human-Robot Collaboration, Manufacturing Efficiency

Authors: Dr. Vikram Singh, Prof. Meera Sharma

Abstract: Additive manufacturing (AM), also known as 3D printing, is revolutionizing advanced manufacturing systems by enabling the production of complex and customized parts with unprecedented precision. This paper examines the integration of AM into traditional manufacturing environments, focusing on its benefits and challenges. We explore how AM enhances product design flexibility, reduces material waste, and shortens production lead times. The paper also addresses the challenges of adopting AM, including high initial costs, material limitations, and the need for skilled personnel. Case studies of AM implementation in various industries, such as aerospace, automotive, and healthcare, are presented to illustrate its impact on product development and manufacturing processes. The potential for AM to drive innovation and sustainability in manufacturing is significant, but successful integration requires addressing technical and operational barriers.

Keywords: Additive Manufacturing, 3D Printing, Product Design, Manufacturing Efficiency, Material Waste Reduction

Author: Ashok Kumar

Abstract: Advanced manufacturing systems (AMS) are increasingly leveraging artificial intelligence (AI) to enhance productivity, quality, and efficiency. This paper explores the integration of AI in AMS, focusing on how machine learning (ML) algorithms, deep learning techniques, and AI-driven robotics contribute to automating complex manufacturing processes. We discuss the challenges of implementing AI, such as data quality and integration with legacy systems, and propose a framework for overcoming these obstacles. The paper also examines case studies where AI has been successfully applied in various manufacturing sectors, demonstrating improvements in predictive maintenance, quality control, and supply chain optimization. The potential for AI to revolutionize AMS by enabling real-time decision-making and adaptive manufacturing processes is significant, with implications for future technological advancements and economic growth.

Keywords: Artificial Intelligence, Machine Learning, Advanced Manufacturing, Predictive Maintenance, Adaptive Processes

Authors:Dipshikha Rathore, Veronica Saksena

Abstract:This paper examines the impact of lean manufacturing principles on quality improvement in industrial processes. The study focuses on understanding how the adoption of lean methodologies can enhance the efficiency and quality of manufacturing operations. Employing a mixed-methods approach, the research combines quantitative data analysis and qualitative case studies from various industries. The findings reveal significant quality improvements in processes where lean principles are implemented, including reduced waste, enhanced process efficiency, and improved product quality. Furthermore, the study identifies key factors that influence the successful integration of lean methodologies into manufacturing processes. The paper concludes by discussing the implications of these findings for manufacturing industries and suggesting areas for future research.

Keywords: Lean Manufacturing, Quality Improvement, Industrial Processes, Efficiency, Process Optimization

Authors:Devender Khandelwal, Gunjan Mishra

Abstract:The escalating environmental concerns associated with traditional packaging materials have steered a significant shift towards sustainable packaging solutions, with biodegradable materials emerging as a pivotal alternative. This paper delves into the evolving landscape of biodegradable materials in packaging design, highlighting their critical role in the pursuit of sustainability. It provides a comprehensive overview of current trends, where natural and synthesized biodegradable materials are increasingly being utilized in various packaging applications due to their minimal environmental footprint. Despite the promising aspects of biodegradable packaging, the paper also addresses the array of challenges that impede its widespread adoption. These include technical limitations, higher costs, and the complexities involved in end-of-life disposal and composting processes. Through a meticulous analysis, the paper synthesizes key findings, underscoring the potential and limitations of biodegradable packaging materials. It culminates with strategic recommendations aimed at enhancing the feasibility, efficiency, and environmental benefits of biodegradable packaging solutions. These insights not only contribute to the academic discourse but also offer practical guidance for industry stakeholders, fostering the development of more sustainable packaging practices.

Keywords: Biodegradable Packaging, Sustainable Design, Environmental Impact, Packaging Trends, Material Innovation

Author:Mansi Saini

Abstract:This paper delves into the burgeoning field of wearable technology, focusing on the critical aspects of design and quality challenges. The rapid evolution of these devices brings forth a unique set of design complexities and quality assurance hurdles. Our methodology encompasses a comprehensive review of current literature, coupled with a qualitative analysis of user experience and engineering standards in wearable technology. We particularly focus on ergonomic design, aesthetic appeal, user interface, software reliability, and hardware durability. The study reveals that while wearable devices offer significant potential for various applications, their success is intricately tied to overcoming these design and quality challenges. We discuss the balance between aesthetic appeal and functionality, the importance of user-centered design, and the necessity for stringent quality standards. The paper concludes with a set of recommendations aimed at enhancing the design robustness and quality reliability of wearable devices, thereby fostering greater acceptance and wider adoption in everyday life.

Keywords: Wearable Technology, Design Challenges, Quality Engineering, User Experience, Reliability, Human-Computer Interaction

Authors:Payal Rastogi, Mahek Gupta

Abstract:This paper delves into the application of Total Quality Management (TQM) within the realm of electronics manufacturing, a sector where quality assurance is paramount. TQM, a comprehensive management approach centered on continuous quality improvement, is pivotal in enhancing product quality and customer satisfaction in this highly competitive industry. The paper outlines key TQM strategies such as continuous process improvement, employee involvement, and customer-focused design, and examines their impacts on the quality of electronic products. Through a series of illustrative case studies, the paper demonstrates how these TQM strategies have been successfully implemented in electronics manufacturing to yield significant improvements in product quality and operational efficiency. Employing a methodological approach that combines a thorough review of relevant literature with in-depth case study analysis, the paper offers valuable insights into the efficacy of TQM practices in the electronics manufacturing sector. The conclusion underscores the critical role of TQM in driving quality improvements and highlights the broader implications for manufacturing practices.

Keywords: Total Quality Management, Electronics Manufacturing, Product Quality, TQM Strategies, Quality Improvement

Author:Dr. Nemailal Tarafder

Abstract:Sport is generally recognized as system of activities based on physical athleticism or physical dexterity with major competitions. Sports fabrics are technical textiles which help to keep the wearer‘s comfort during exercises. Appropriate moisture and heat management are the key factors for the endorsement of required physiological comfort level. Smart materials are able to sense changes in the environment. In 1904, Olympics Games featured a fourth discipline of Fencing known as single stick but it was dropped after that year and is not a part of modern fencing. While choosing custom sports clothing, the type of materials should be one of the most important factors to consider. Sports textiles are one of the various branches of technical textiles. In sports industry, textiles are highly engineered and built for specialized performance and usage depending on the sports profile of the user. In various sports, the sportswear that players wear such as jerseys of T-shirts, Trousers, Shorts, Caps, Footwear, etc and some sports associates used 6

Keywords: physical dexterity, sportswear, appropriate moisture, smart materials, modern fencing, performance sports.

Authors: Dr. Kiranbala Chauhan

Abstract:  Additive manufacturing parts often traverse dispersed bureau networks, creating provenance blind spots that compromise certification. We design a lightweight blockchain ledger that logs feed stock batch IDs, printer parameters, and post processing records at each hop. Smart contracts enforce immutability while preserving IP through zero knowledge proofs. A defense aerospace case study traced 1,200 Ti 6Al 4V components, revealing three counterfeit powder substitutions that conventional audits missed.

Keywords: Blockchain; Traceability; Additive manufacturing; Smart contract; Supply chain security

Authors:Anitha Nagaraju, Sangiha S. Rao

Abstract:This article explores the advancements in advanced manufacturing, a transformative approach that integrates cutting-edge technologies and innovative methodologies to revolutionize the production of goods. The article discusses key areas of advancement, including additive manufacturing, robotics and automation, Internet of Things (IoT), artificial intelligence (AI), and the use of advanced materials. It highlights the impact of these advancements on productivity, efficiency, and sustainability in manufacturing industries. By examining these advancements, the article provides insights into the future of manufacturing and its potential to reshape industries and fuel economic growth.

Keywords-: Advanced manufacturing, Additive manufacturing, 3D printing, Robotics, Automation, Internet of Things (IoT), Artificial intelligence (AI), Advanced materials, Sustainability.

Authors:- Dr. Nemailal Tarafder

Abstract:-Sports textiles belong to a category called sports tech, which is one of the main stream of technical textiles. In various sportswear, the items like jersey or T-shirts, shorts, caps, footwear. Etc and some sports accessories are known as sports textiles. Performance enhancing smart clothing for outdoor sports such as in running and cycling should be suited to all seasons along with hygiene characteristics and functionality, in addition to that an exceptional aesthetic appearance also. Textile plays a major role in sports and without textiles sports existence is very difficult. Smart fabrics allow for greater and more precise control over how our body perform and they similarly alter our understanding of the materiality and bodily presence with regards to fashion. The high-tech textiles comprehend compression garment, smart textiles and wearable technologies. Smart textiles will result in great benefits for athletes, such as performance, data analysis, health, training technique and comfort. Major companies have been in research for smart textiles for new possibilities to incorporate fabrics or textiles with emerging technologies to improve the consumer’s life style. Polyester has a tendency to cause dye migration between the fabric dye and the decoration. Active wear fabrics are important to the comfort of athletes.

Keywords: sport tech, smart textiles, high-tech performance, artificial turf, wearable technology, intelligent textiles, micro electronics, temperature sensitive

Authors: Amol More

Abstract:There has been a considerable imbalance between the availability of conventional building materials and their demand in the recent past. On the other hand the laterite quarry waste is abundantly available and the disposal of waste plastics (PET, PP, etc.) is a biggest challenge, as repeated recycling of PET bottles poses a potential danger of being transformed to a carcinogenic material and only a small proportion of PET bottles are being recycled. Because of costly conventional recycling techniques, there has been an increased demand for more scientific and innovative technologies to effectively recycle these materials. One such effort is the efficient use of waste plastic and laterite quarry waste with a small quantity of bitumen, to develop an alternative building material such as bricks with negligible water absorption and satisfactory strength in comparison with Laterite stone to satisfy the increasing demand of conventional building materials. Eco-bricks, polyethylene terephthalate (PET) bottles filled with mixed inorganic waste, have become a low cost construction material and a valid recycling method to reduce waste disposal in regions where industrial recycling is not yet available. Because Eco-bricks are filled with mixed recovered materials, potential recycling of its constituents is difficult at the end of its life. This study proposes considering Eco-bricks filled with a single inorganic waste material to work as a time capsule, with potential for recovering the filling material when other ways of waste valorization are available within those communities that currently have no better recycling options.

Keywords: Plastic bricks, Eco-bricks, polyethylene terephthalate (PET),Waste plastic

Author:Dr. Nemailal Tarafder

Abstract:The 21st century has been marked as the extreme of technological growth, which has produced some pretty interesting results. In this we are going to explore the concept of smart textiles and to judge our future in textile industry. The concept of smart textiles is basically classified in three categories according to its functional activities. With the development of technology and its application all across the industry, smart textiles have risen to immense prominence lately. Smart textiles can be defined as textiles that are able to sense and respond to the changes in their environmental conditions. By integrating electronic components, sensors and inter connectivity directly into protective garment, a wide range of functions can be accomplished. The technology of smart textiles is an integration of almost all disciplines of applied sciences. Using a novel fabrication process, MIT researchers have produced smart textiles that snugly conform to the body so that they can sense wearer’s posture and motion. Textiles make smart wearable devices flexible, lighter and friendly existing nest to our skin. The expressions or smart and intelligent textiles or wearable electronic textiles are commonly used interchangeably. At its core, technical textiles manufacturing is a vast landscape of advanced yarn system combined with textile formation techniques.

Keywords- performance enhancing, ultra smart textiles, shape memory textiles, textile electronics, protective garment, fibre technology, integrated sensors, smart wearable system

Authors:- Chitra Khandelwal, Namitha Shivanna, Dr. N. P. Shivashankar

Abstract:- Many firms are increasingly interested in implementing a lean manufacturing strategy in order to compete in this competitive worldwide market. In this regard, it is crucial to examine the implementation of lean manufacturing in various firms in order to identify the critical best practises. This article discusses the creation of key areas that will be used to evaluate the adoption and execution of lean manufacturing processes. There are certain important areas established to analyse and minimise the most optimum projects in order to improve their production efficiency and boost the purpose of the manufacturing unit's economic advantages. By seeing customers and suppliers as partners, lean manufacturing is evolving into lean enterprise. This provides an advantage in today's cost and time competitive sectors. The company is strengthening in all traditional areas of competitiveness. They are as follows: price, quality, and delivery. Owners of lean businesses may offer high-quality items promptly and at a cheap cost.

Keywords:- Lean manufacturing, Implementation, Tools and Techniques, Competitive points

Authors:- Ganesh Singh Keshav, Lalit Singh

Abstract:- A manufacturing feature is just a geometric shape plus the manufacturing information required to make the shape. A feature library is essential in the extraction of manufacturing features with their associated manufacturing information in a feature-based process planning system. However, in order to manage manufacturing information flexibly, it is necessary to create an easily modifiable feature library. A Wiki-based feature library is presented in this work.

Keywords:- Feature library, feature ontology, process planning, Wiki, Media Wiki. Manufacturing feature