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Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032611871 ISBN 13: 9781032611877
Language: English
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. The books content encompass the following key aspects:Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithmsDiscusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory controlHighlights single and multi-objective optimization problems using pentagonal fuzzy numbersIllustrates profit maximization inventory model for non-instantaneous deteriorating items with imprecise costsShowcases nature-inspired algorithms such as particle swarm optimization, genetic algorithm, bat algorithm, and cuckoo search algorithmThe text covers multi-disciplinary real-time problems such as fuzzy optimization of transportation problems, inventory control with dynamic pricing, timetable problem with ant colony optimization, knapsack problem, queueing modeling using the nature-inspired algorithm, and multi-objective fuzzy linear programming. It showcases a comparative analysis for studying various combinations of system design parameters and default cost elements. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, production engineering, mechanical engineering, and mathematics. The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032611871 ISBN 13: 9781032611877
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. The book's content encompass the following key aspects:Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithmsDiscusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory controlHighlights single and multi-objective optimization problems using pentagonal fuzzy numbersIllustrates profit maximization inventory model for non-instantaneous deteriorating items with imprecise costsShowcases nature-inspired algorithms such as particle swarm optimization, genetic algorithm, bat algorithm, and cuckoo search algorithmThe text covers multi-disciplinary real-time problems such as fuzzy optimization of transportation problems, inventory control with dynamic pricing, timetable problem with ant colony optimization, knapsack problem, queueing modeling using the nature-inspired algorithm, and multi-objective fuzzy linear programming. It showcases a comparative analysis for studying various combinations of system design parameters and default cost elements. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, production engineering, mechanical engineering, and mathematics.
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032611871 ISBN 13: 9781032611877
Language: English
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Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032611871 ISBN 13: 9781032611877
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. The books content encompass the following key aspects:Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithmsDiscusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory controlHighlights single and multi-objective optimization problems using pentagonal fuzzy numbersIllustrates profit maximization inventory model for non-instantaneous deteriorating items with imprecise costsShowcases nature-inspired algorithms such as particle swarm optimization, genetic algorithm, bat algorithm, and cuckoo search algorithmThe text covers multi-disciplinary real-time problems such as fuzzy optimization of transportation problems, inventory control with dynamic pricing, timetable problem with ant colony optimization, knapsack problem, queueing modeling using the nature-inspired algorithm, and multi-objective fuzzy linear programming. It showcases a comparative analysis for studying various combinations of system design parameters and default cost elements. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, production engineering, mechanical engineering, and mathematics. The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Gordon and Breach Science Publishers, 1981
ISBN 10: 0677058403 ISBN 13: 9780677058405
Language: English
Seller: BookDepart, Shepherdstown, WV, U.S.A.
Hardcover. Condition: UsedGood. Hardcover; departmental library copy with minimal stampings; light fading, scuffing, and edge wear to exterior; in good condition with clean text and tight binding.
Condition: New. Jyotiranjan Nayak is a Professor in the Department of Mathematics at the Faculty of Science and Technology (IcfaiTech), IFHE, Hyderabad, India. Prior to this, he was Associate Professor at the Institute of Technical Education and Researc.
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