George Ivy*
Manufacturing is a cornerstone of modern society, driving economic growth, technological progress, and the production of goods that shape our daily lives. It encompasses a vast array of processes, industries, and technologies, all working together to transform raw materials into finished products. In this comprehensive exploration of manufacturing, we will delve into its history, key principles, evolving technologies, environmental impact, and future prospects. Manufacturing is as old as human civilization itself. Early humans began crafting tools, weapons, and other essential items from natural materials, such as stone, bone and wood. These rudimentary manufacturing processes laid the foundation for more sophisticated methods that would emerge over thousands of years. In ancient civilizations like Mesopotamia, Egypt, and China, craftsmanship played a crucial role in the production of goods. Skilled artisans and craftsmen employed traditional techniques to create items such as pottery, textiles, and metalwork. Each piece was painstakingly crafted by hand, often with intricate designs and patterns that reflected the culture and aesthetics of the time. The Industrial Revolution, which began in the late 18th century, marked a seismic shift in manufacturing. It was a period of rapid technological advancement and innovation that transformed manufacturing from small-scale, labour-intensive craftsmanship to large-scale, mechanized production
Harry Finley*
Inventory management is a critical aspect of modern business operations, regardless of the industry or sector. It involves the planning, controlling, and tracking of a company's goods and materials to ensure a smooth flow of products from suppliers to customers. Effective inventory management is essential for optimizing costs, improving customer satisfaction, and maximizing overall profitability. This comprehensive guide explores the key aspects of inventory management, including its importance, strategies, best practices, and the role of technology in streamlining the process. Inventory management is the heart of supply chain management, encompassing all the processes and systems used to track and control a company's inventory. It involves balancing the costs of holding inventory against the benefits of having sufficient stock to meet customer demand. Properly managed inventory can help companies reduce carrying costs, prevent stock outs, and improve customer satisfaction. In this comprehensive guide, we will delve into the significance of inventory management, explore various strategies and best practices, and highlight the role of technology in enhancing this critical aspect of business operations. Inventory costs can significantly impact a company's profitability. Holding excess inventory ties up capital, leads to storage costs, and can result in inventory obsolescence
Archie Lily*
Simulation modelling is a powerful tool used in various fields to mimic realworld systems and processes, providing insights, predictions, and optimization opportunities. It involves creating computer-based models that imitate the behaviour of complex systems, allowing researchers, engineers, and decisionmakers to experiment with different scenarios without the need for costly and time-consuming real-world experiments. In this comprehensive overview, we will delve into the fundamentals of simulation modelling, its applications across different domains, the modelling process, and its benefits and limitations. Simulation modelling is the process of building and analysing computer-based models that emulate the behaviour of real-world systems or processes over time. These models use mathematical and logical representations to simulate the interactions and dynamics of the system's components. By manipulating input variables and observing the resulting outcomes, simulation models enable users to gain a deeper understanding of how a system functions, predict its future behaviour, and test the impact of different strategies or scenarios. The concept of simulation can be traced back to ancient civilizations using physical models to understand natural phenomena
Max Joshua*
Change management plays a pivotal role in the field of engineering, where innovation, evolving technology, and dynamic project environments are constants. This comprehensive 2000 word essay delves into the importance of change management in engineering, exploring its various aspects, challenges, and best practices. From understanding the need for change to implementing effective strategies, this article provides insights into how engineers and organizations can adapt to change successfully. Change is an intrinsic part of the engineering landscape, driven by technological advancements, evolving project requirements, and shifting market dynamics. Engineers and organizations that can effectively manage change are better equipped to thrive in this dynamic environment. Change management in engineering involves systematic processes and strategies aimed at facilitating the transition from existing practices to new ones, ensuring minimal disruption while maximizing benefits. In this essay, we will explore the critical role of change management in the engineering sector, examining its significance, challenges, and best practices. The engineering industry is characterized by rapid technological advancements, evolving customer demands, and the need for sustainability and efficiency
Rhys Alexander*
Performance metrics often referred to as Key Performance Indicators (KPIs), are quantitative or qualitative measures used to evaluate the success, efficiency, and effectiveness of various activities, processes, or systems. These metrics provide a structured and objective way to assess performance, enabling individuals and organizations to set goals, track progress, and make datadriven decisions. The concept of performance measurement has deep historical roots. Ancient civilizations, such as the Egyptians and Mesopotamians, used rudimentary metrics to track agricultural yields, trade, and other aspects of their societies. However, it wasn't until the industrial revolution that modern performance metrics began to take shape, as businesses sought to optimize their operations and production processes. Performance metrics help individuals and organizations set clear, measurable goals. By defining specific targets and outcomes, they provide a roadmap for progress and ensure that efforts are aligned with strategic objectives. Once goals are established, performance metrics serve as continuous monitoring tools. They allow stakeholders to track progress, identify areas of improvement, and make timely adjustments to stay on course. Data-driven decision-making is a cornerstone of success in various domains. Performance metrics provide the necessary data and insights to make informed choices, allocate resources efficiently, and prioritize actions that will have the most significant impact
Callum Daniel*
Systems engineering is a multidisciplinary field that has emerged as a critical framework for designing and managing complex systems. It encompasses a systematic approach to problem-solving, integrating various engineering and non-engineering disciplines to create efficient, reliable, and cost-effective systems. In a world characterized by increasingly intricate technological challenges, systems engineering plays a pivotal role in ensuring the successful development, deployment, and operation of complex systems across various domains. This article delves into the world of systems engineering, tracing its evolution, highlighting its key principles, and exploring its applications in diverse industries. Systems engineering is a relatively modern field, but its roots can be traced back to ancient civilizations that developed sophisticated systems, such as aqueducts, irrigation systems, and architectural marvels. These early systems required a comprehensive understanding of various components and their interactions, serving as precursors to modern systems engineering principles. In the 20th century, the rapid advancement of technology and the increasing complexity of engineering projects led to the formalization of systems engineering as a discipline. The term "systems engineering" was first coined during World War II when engineers and scientists were faced with the challenge of developing complex military systems like radar and guided missiles
Ethan Reece*
Leadership in the field of Industrial Engineering plays a pivotal role in the development and transformation of industries worldwide. Industrial engineers are responsible for optimizing complex systems, processes, and resources to enhance productivity, quality, and efficiency. Effective leadership in this domain requires a unique blend of technical expertise, strategic vision, and interpersonal skills. In this comprehensive exploration, we will delve into the key aspects of leadership in industrial engineering, its evolving nature, and the challenges and opportunities it presents. Industrial engineering is a multifaceted discipline focused on improving the way organizations operate. Leaders in this field act as catalysts for change, guiding their teams towards innovation, cost-effectiveness, and sustainable solutions. Leaders must possess a deep understanding of industrial engineering principles, tools, and methodologies. This knowledge forms the foundation upon which effective leadership is built. A leader's ability to comprehend and apply the latest technological advancements is vital for steering their teams toward continuous improvement. Industrial engineering leaders need to think beyond the immediate challenges and focus on long-term strategies. They must align their initiatives with organizational goals, foresee market trends, and adapt their approaches to stay ahead in the competitive landscape.
Damian Charlie*
Decision making is a critical aspect of engineering that plays a pivotal role in shaping the outcomes of projects, products, and systems. Engineering decisions are rarely straightforward, as they involve complex trade-offs, technological advancements, regulatory considerations, and a plethora of variables that make the decision-making process challenging. In this comprehensive essay, we will delve into the world of decision-making in engineering, exploring its various facets, challenges, tools, and methodologies. We will also discuss how modern engineering practices are adapting to address the growing complexity and uncertainty in decision making. Engineering projects often require input from multiple disciplines, including mechanical, electrical, civil, chemical, and more. The interconnectedness of these disciplines necessitates decisions that account for the interplay between various factors. For instance, designing an efficient HVAC system for a building requires considerations about the building's structure, electrical capacity, and energy efficiency. The rapid pace of technological advancement presents engineers with a continuous stream of new tools and solutions. While these innovations can enhance decision-making, they also introduce complexity by adding more options and variables to consider.
Lauren Tracy*
Quality Assurance (QA) is a crucial aspect of any organization's operations, regardless of its size or industry. It encompasses a set of systematic and planned activities designed to ensure that products and services consistently meet or exceed predefined quality standards. In today's highly competitive global market, where customer expectations are continuously rising, quality assurance has become a cornerstone of success for businesses. This article delves deep into the world of quality assurance, exploring its key principles, methodologies, benefits, and challenges, while also highlighting its evolving role in the digital age. Quality Assurance (QA) refers to the systematic process of ensuring that products, services, and processes meet established quality standards and consistently satisfy customer requirements. It encompasses a wide range of activities, including planning, monitoring, and improving processes, as well as evaluating and verifying product and service quality. QA aims to prevent defects, reduce errors, and enhance overall efficiency, thereby ensuring customer satisfaction and loyalty. The importance of QA extends across various industries, from manufacturing and healthcare to software development and service-oriented sectors. In a competitive marketplace, where consumers have numerous choices, delivering consistent quality is essential for building trust, maintaining a positive reputation, and achieving sustainable growth.
Sarah Bethany*
Industrial automation, a technology-driven revolution in the manufacturing and production sectors, has transformed the way we produce goods, enhance efficiency, and ensure quality. This paradigm shift, which began several decades ago, continues to evolve, offering new opportunities and challenges in various industries. In this comprehensive exploration, we will delve into the world of industrial automation, its historical evolution, current state, and future prospects, as well as its impact on the global economy, the workforce, and the environment. Industrial automation's roots trace back to the late 18th century, with the advent of the Industrial Revolution and the mechanization of various manufacturing processes. However, it wasn't until the 20th century that automation truly took off with the development of the relay logic system, which allowed for the control of machines through electrical switches. These machines utilized punched cards to control tool movement and automate machining processes. This innovation played a pivotal role in industries like aerospace and automotive manufacturing. The 1960s marked the advent of Programmable Logic Controllers (PLCs), developed to replace complex relay systems. PLCs were capable of executing specific tasks, and their widespread adoption paved the way for greater automation in factories and industries. The automotive sector was one of the early adopters of PLC technology.
Hadiqa Amjad*, Nimra Jamil, Amna Azeem, and Saba Majeed
Big Data means the large amount of data. Data is rapidly increasing day by day. So, there’s a big issue how to secure the large amount of data. Securing information is become a priority as data is a most important asset in today’s world. In this paper we will discuss the challenges of Hadoop and provide the solutions for securing it. Some security challenges of Hadoop include Data Security, Network Security, Access Control Security etc. We have brief discussed about Hadoop framework, some security management modules and different approaches i.e. Kerberos technique, Bull Eye Algorithm, encryption techniques etc. in securing the Hadoop Ecosystem.
Human failures in workplace may lead to accidents which will affect the individual as well as to the organization. Attribution of human error as the cause of accidents and incidents is common in accident reports. In order to improve the safety aspects of the organization, time and financial resources are being spent. In spite of safety policies, rules and regulations, many accidents, and incidents are being reported from different sectors. The current study focuses on the errors management in medium and small scale manufacturing setups. Authors argue that it is important to view errors as a positive feedback and having a growth mindset towards errors can improve the safety culture thereby improving the overall productivity and efficiency of the organization. Questionnaire on error management culture of the manufacturing setups is prepared and distributed among the medium and small scale industrial operators of the manufacturing setups situated in the Mysore city. Statistical reliability analysis of error management questionnaire is carried out and it is found that instrument is reliable and can be used to assess the error management culture of the organization.
DOI: 10.37421/2169-0316.2021.10.300
Bangladesh has demonstrated strong economic fundamentals with a consistent GDP growth rate over 7 percent in last few years. With this rapid economic growth, the demand of electricity will also be increased. Since the development of power sector is dependent on many factors, the power sector of Bangladesh is very challenging. In this case study, a brief discussion on Power sector of Bangladesh has demonstrated with recent information and data including power crisis of the country. Future plans and programs of Power sector has been discussed too. A detailstudy on power demand and production is also calculated. Our main objective was to provide a genuine power scenario of Bangladesh and calculate the upcoming demand by 2042 which will be followed by some recommendations through which the Power sector of Bangladesh can improve. The forecasting was calculated by multiple regression analysis using GMDH Streamline software.
DOI: 10.37421/2169-0316.2021.10.290
McDonald’s is largest fast food chain in world, it is also known for its speed of operation. It is present in 118 countries with 36900 outlets. It is very crucial task to satisfy every customer where their expectation are very high, all they want is hygiene, taste, cleanliness, reliable price, fast delivery and many more. In India there is 250 eating outlets covering 40 cities and they add more outlets every time. McDonald’s entirely outsourced its service and managed quite long supply chain network in India. It uses various models like HUB and SPOKE model and different software like SAP SCM, RAMCO ERP with COBRA. The explanation will help to understand the flow of supply chain management and its tool in India.
Wintana Solomun and Berihun Negash*
Proper lay out gives relief a lot of financial and non financial activates for both users and suppliers. Thus, the propose of this research is to improve the productivity of sewing production line through the layout rearrangement. So that, time, energy and less production gets crashed. The production losing and time consuming due to un proper lay out leads to company unprofitable and customer disaffection. The workers took high energy and time consuming to produce the existing less production because of un proper lay out. Thus, the study was conducted to improve productivities of the company by reducing time consuming process and factors affecting production rate of the company using data from DBL( Bangladesh owned production) manufacturing plc to produce proper lay out. The researcher’s analyzed existing lay out and new lay out to compare based on their efficiency, production and cycle time. so, that the existing lay out efficiency is 21.82%, production1387per day sample 3 blocks, and cycle times respectively for the improved lay out efficiency is 24.14%, production 1546 and cycle time.
Industrial Engineering & Management received 614 citations as per Google Scholar report
