Book Chapters

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Now showing 1 - 9 of 9

Solving Vehicle Routing Problem Using a Hybridization of Gain-Based Ant Colony Optimization and Firefly Algorithms
(Hand Book of Formal Optimization, 2023-08-13) Sangeetha, V.; Krishankumar, R.; Pamucar,Dragan; Ravichandran, K. S.; Peng,Xindong; Gandomi, Amir H.
Vehicle Routing Problem is one of the classical NP hard and combinatorial optimization problems that has been a spark of interest in the operation research domain. Though many variations of classical VRP are being developed, there is still the need for developing algorithms to improve solutions for VRP. A hybrid gain-based ant colony optimization-firefly algorithm (GACO-FA) has been proposed to deal with VRP. A global search is initially performed using the gain-based ant colony optimization, and subsequently local search for promising solution is done in the fine-tuned search space using firefly algorithm. The strengths of GACO and weakness of FA are aptly managed with a finer trade-off between them. The proposed GACO-FA is compared with best-known solutions and existing algorithms for performance analysis using the benchmark dataset. Analysis has been performed using measures like route cost, standard deviation, and percentage variation in length. The results have also been statistically verified for their significance.
The Impact of Corporate Governance on Managerial Effectiveness and Stress Mitigation: An Emphasis on Capacity of Mindfulness
(Comprative Analysis of Digital Consciousness and Human Consicousness , IGI Global, 2024) Kumari ,Abha; Mishra,Nidhi; Patro , Archana
This chapter introduces a theoretical framework for understanding how corporate governance impacts managerial effectiveness and stress mitigation by taking the mediating role of the capacity of mindfulness to enhance the overall efficacy of the organization. Existing literature talks about how governance structure impacts organisational and managerial performance and stress, but they are missing the underlying processes that link effective governance practices to improved performance and reduced stress; this framework provides the lens for analysing this process. By offering a more nuanced understanding, this framework will help improve the organisation's overall result by taking care of managers' well-being by reducing their stress and increasing their performance.
Industry 4.0 Transforming communication, sustainability, and collaboration in manufacturing
(Industry 4.0 for Manufacturing Systems, CRC Press, 2025) Kaushal, Sanjay
This chapter explores the evolving sphere of Industry 4.0 and its deep impact on communication, knowledge sharing, and sustainability within the manufacturing sector. It provides an overview of the historical context and design principles of fourth industrial revolution, highlighting how the integration of advanced technologies, such as cyber-physical systems, the Internet of Things, and big data analytics, is transforming the way organizations communicate, collaborate, and achieve operational excellence. The chapter highlights critical role of data-driven communication in managing information flows and facilitating effective knowledge sharing across manufacturing enterprises and showcases how leading companies are leveraging innovative solutions, including collaborative data analytics and Lean Thinking frameworks, to streamline their communication and decision-making processes. Moreover, it examines the interdependence between Industry 4.0 and sustainability, demonstrating how these technologies can be harnessed to drive more efficient resource utilization, minimize environmental impact, and create new business models aligned with the triple bottom line. The chapter also deals with the significance of human-machine interaction in advanced manufacturing systems, reiterating the importance of ergonomic design and the synergistic collaboration between human operators and intelligent machines. Finally, it underscores the challenges and opportunities in communicating sustainability within the Industry 4.0 paradigm, highlighting the need for a holistic approach that integrates technological advancements with sustainable practices to secure a greener future for the manufacturing industry.
Industry 4.0 for Manufacturing Systems: Concepts, Technologies, and Applications
(2025) Patra, Soumya Prakash
Data Analytics and Artificial Intelligence for Earth Resource Management
(Data Analytics and Artificial Intelligence for Earth Resource Management, 2025) Chakravarty, Poulomi; Gattupalli, Sai; Chakravarty, Urjani; Chand, Gulab; Lee, William
As climate change continues to pose significant challenges worldwide, regions of high vulnerability necessitate specialized strategies for effective resource management and communication. We examine the innovative incorporation of artificial intelligence (AI) and data analytics (DA) in establishing advanced early warning systems. Current advancements in AI have not only contributed to reducing climate vulnerability by identifying, monitoring, and predicting climate change impacts, particularly in zones prone to heightened climatic disruptions, but also helped prevent loss of human lives, livestock, agricultural produce, and other Earth resources. This chapter highlights the potential of AI&DA to transform our capacity to anticipate and respond to climate-induced resource shortages and disasters. The importance of these technologies in furthering educational initiatives, effective communication, enabling timely information dissemination, and coordinating responses in high-risk regions are emphasized. The potential of AI to serve as a “Technology for Social Good” is presented, emphasizing the need for accessibility, inclusivity, and multilingual support. The chapter also probes the role of AI in science communication by providing essential climate information and education, enabling individuals to make informed decisions and participate actively in climate action. The discussion extends to the utilization of AI&DA in Earth resource management (ERM), exploring ways to make these technologies interactive, accessible, and beneficial for the public. This chapter takes a novel approach with regard to how components of communication can help strategies during crisis situations with the model named as 3M (mistake+manage+mitigate). The 3M model examines the earlier assessment of managing risk communication and adds a communication component to it for better reach. Most of these earlier models were developed with respect to crises or from the perspective of specific communities in developed economies. To fill this gap the current discussion takes a holistic view of the problem and takes a communicative approach to deal with it effectively. These systems can help ERM to protect natural resources from climate change and other threats in areas that are at high risk of environmental damage.
Technology and the landscape of electronic human resource management (e-HRM)
(Digital Transformation and Sustainability of Business, CRC Press, 2025) Sharma, Aarti; Chauhan, Deepa; Kaushal, Sanjay; Nayak, Keyurkumar; Dharwal, Mridul
In the ever-changing corporate landscape, the integration of technology has catalysed a fundamental revolution in different aspects of organizational functioning. Though the impact of technology is visible in every field discussing largely organization, it has affected human resource management (HRM) a lot. This chapter demystifies the concept and scope of electronic human resource management (e-HRM) with the help of existing literature and facts. The chapter also throws light on the bright and dark side of e-HRM. Overall, this chapter focuses on “what results to the people due to technology” and “what the people gain in the company” due to the intervention of technology.
Exploring the SEZs from the perspective of Environmental and Social Sustainability in SEZs
(2025) Dwivedi,Shweta; Chakraborty,Tamali
The SEZs are developed to achieve various economic benefits, such as employment, investment, technological innovation, skill enhancement, and industrialization, with the aim of promoting local and regional development through spillover and cluster effect. The spillover and cluster effect represent the spatial concentration of firms, which improves competition and firm performance, enabling SEZs’ economic benefits. However, the success of SEZs depends on their implementation, policy design, and locational strategy. The question arises at what cost economic benefits are achieved, environmental and social costs. In the purview of economic benefits outweighing the environmental and social costs, the chapter identifies various sustainability issues associated with SEZs. The chapter is classified into three important parts: economic benefits, environmental costs, and social costs, primarily focusing on developing countries. The first part explores the economic benefits associated with SEZs. The chapter identifies that SEZs act as a catalyst for economic growth among developing countries following the global value chain and agglomeration approaches. The second part discusses various environmental issues due to SEZs, such as overutilization of natural resources, pollution, waste disposal, and carbon emissions by SEZ projects. Further, anthropogenic activities disturb the natural habitat, leading to the loss of the environment and increasing the environmental costs. The last part reviews the impact on marginalized and local communities’ livelihoods. It is observed that due to a lack of skills, marginalized people and local communities suffer from the loss of livelihood and inadequate compensation, which reduces the spillover and multiplier effect. Further, the situation worsens when agricultural land, assets, and properties are lost. Moreover, SEZs bring global competition and cluster effects, which change demography due to the influence of other societies. Thus, there is an enormous environmental and social cost associated with SEZs. The chapter concludes that SEZ sustainability should be followed to achieve long-term economic benefits. It also explores the possibility of trickle-down effects in neighbouring regions where SEZs are established. Furthermore, it explains the ongoing struggle between economic benefits and environmental-social costs. © 2025, Il Sileno Edizioni. All rights reserved.
Research issues in Industry 4.0
(Industry 4.0 for Manufacturing Systems: Concepts, Technologies, and Applications, CRC Press, 2025-03-05) Gaikwad, Priyanka B; Wankhede, Vishal Ashok
The book highlights the importance of intelligent decision-making in advanced production systems, and optimization of process parameters using fuzzy-based multi-criteria decision-making tools. It discusses the decision-making aspects of Industry 4.0 using machine learning and optimization techniques and helps in moving toward the digitalization of manufacturing systems. It further covers several important topics including the role of digital twins in advanced manufacturing processes, machine learning-based prediction of overall equipment effectiveness, intelligent quality control tools, and life cycle assessment models in Industry 4.0. Key features: Presents a conceptual framework to measure the readiness of adopting Industry 4.0 in advanced manufacturing systems. Discusses the impact of smart manufacturing on sustainable development and integration of Industry 4.0 and additive manufacturing. Covers topics such as intelligent automation systems, machine learning-based preventive maintenance, and the Internet of Things-enabled additive manufacturing in Industry 4.0. Explains cyber-physical system integration with Industry 4.0 technologies, cyber-physical systems in industrial robotics, and green cyber-physical systems. Illustrates optimization of process parameters using fuzzy-based multi-criteria decision-making tools and life cycle assessment models in Industry 4.0. This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, supply chain management, and manufacturing engineering.
Cyber-physical system for advanced manufacturing
(Industry 4.0 for Manufacturing Systems Concepts, Technologies, and Applications, CRC Press, 2025-04-25) Nair, Rashmi; Gaikwad, Priyanka B.; Agrawal, Rohit