Anand Chauhan – författare

This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe. It brings all of the latest methodologies, tools, and techniques related to optimization and industrial engineering into a single volume to build insights towards the latest advancements in various domains.

Applications of Advanced Optimization Techniques in Industrial Engineering includes the basic concept of optimization, techniques, and applications related to industrial engineering. Concepts are introduced in a sequential way along with explanations, illustrations, and solved examples. The book goes on to explore applications of operations research and covers empirical properties of a variety of engineering disciplines. It presents network scheduling, production planning, industrial and manufacturing system issues, and their implications in the real world.

The book caters to academicians, researchers, professionals in inventory analytics, business analytics, investment managers, finance firms, storage-related managers, and engineers working in engineering industries and data management fields.

This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancements in the optimization field across the globe. It brings all of the latest methodologies, tools, and techniques related to optimization and industrial engineering into a single volume to build insights towards the latest advancements in various domains.

Applications of Advanced Optimization Techniques in Industrial Engineering includes the basic concept of optimization, techniques, and applications related to industrial engineering. Concepts are introduced in a sequential way along with explanations, illustrations, and solved examples. The book goes on to explore applications of operations research and covers empirical properties of a variety of engineering disciplines. It presents network scheduling, production planning, industrial and manufacturing system issues, and their implications in the real world.

The book caters to academicians, researchers, professionals in inventory analytics, business analytics, investment managers, finance firms, storage-related managers, and engineers working in engineering industries and data management fields.

This volume addresses SDG 7 (Affordable and Clean Energy) and SDG 12 (Sustainable Consumption and Production). By 2030, therefore, people have to substantially increase their share of renewable energy. The book focuses on waste as primary sources of biomass that can fulfill energy requirements for sustainable development. It also discusses various related topics such as energy production methods, a mathematical model for the development of a sustainable biofuels supply chain, economic analysis, optimization techniques, multiple-criteria decision-making and mixed-integer linear programming and existing and emerging policies that encourage the switch to renewable energy. It is committed to fusing science and technology in a way that assures a sustainable future and addresses major topics on biofuels: biomass, bioenergy, biodiesel, bioethanol, biogas modelling and their supply chain management, inventory control and optimization.

The 2030 Agenda for Sustainable Development, adopted by all United Nations Member countries in 2015, provides a shared blueprint for peace and prosperity for people and the planet, now and into the future. The book uses an interdisciplinary approach and provides solutions to energy requirements by using emerging technology and nanotechnologies. It explores a technical breakdown of the tools that may be utilized to convert biomass into usable energy forms. At the end of the book, a description of the social and economic aspects of renewable energy and minimization of bioenergy cost is presented. The book is useful to students, researchers, industry experts and anybody in the adoption of renewable energy. It covers the complete course in the fundamentals of biomass feedstock and their supply chain management resources at the graduate level in engineering.