Modeling and Analysis of Production-inventory Systems PDF Download
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Author: Joon-Seok Kim
Publisher:
ISBN:
Category :
Languages : en
Pages : 334
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Book Description
Author: Joon-Seok Kim
Publisher:
ISBN:
Category :
Languages : en
Pages : 334
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Book Description
Author: Mayur D. Amin
Publisher:
ISBN:
Category :
Languages : en
Pages : 264
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Book Description
Author: Maximo J. Ortega
Publisher:
ISBN:
Category :
Languages : en
Pages : 522
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Book Description
Author: George Hadley
Publisher:
ISBN:
Category : Inventories
Languages : en
Pages : 476
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Book Description
Author: Sanjay Sharma
Publisher: CRC Press
ISBN: 1000457753
Category : Technology & Engineering
Languages : en
Pages : 241
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Book Description
This reference text discusses models and analyzes cases that are useful for material requirements planning (MRP), just-in-time (JIT) environments and supply chain environments, as well as traditional production-inventory systems. It covers important concepts, including production-inventory systems, optimal purchase quantity, optimal production quantity, instantaneous procurement, multiple input items, sensitivity analysis, multiproduct manufacturing, determination of optimum cycle time, fractional backlogging, and incorporating input item procurement and flexibility in the production rate. Aimed at senior undergraduate and graduate students, and professionals in the field of industrial engineering, production engineering and manufacturing science, this text: Provides detailed models/analysis pertaining to various cases which are useful for material requirements planning and supply chain environments Elaborates manufacturing rate flexibility, demand variation and production rate variation Discusses the multi-item manufacturing environment and presents models with backorders, as well as fractional backlogging Analyzes flexible production rates, along with upward and downward variations
Author: J. MacGregor Smith
Publisher: Springer Science & Business Media
ISBN: 1461467772
Category : Business & Economics
Languages : en
Pages : 397
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Book Description
This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems. Topics deal with the areas of facilities planning, transportation, and material handling systems, logistics and supply chain management, and integrated productivity and quality models covering: • Stochastic modeling and analysis of manufacturing systems • Design, analysis, and optimization of manufacturing systems • Facilities planning, transportation, and material handling systems analysis • Production planning, scheduling systems, management, and control • Analytical approaches to logistics and supply chain management • Integrated productivity and quality models, and their analysis • Literature surveys of issues relevant in manufacturing systems • Case studies of manufacturing system operations and analysis Today’s manufacturing system operations are becoming increasingly complex. Advanced knowledge of best practices for treating these problems is not always well known. The purpose of the book is to create a foundation for the development of stochastic models and their analysis in manufacturing system operations. Given the handbook nature of the volume, introducing basic principles, concepts, and algorithms for treating these problems and their solutions is the main intent of this handbook. Readers unfamiliar with these research areas will be able to find a research foundation for studying these problems and systems.
Author: Charles R. Sox
Publisher:
ISBN:
Category :
Languages : en
Pages : 228
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Book Description
Author: Nita H. Shah
Publisher: Springer Nature
ISBN: 9811396981
Category : Business & Economics
Languages : en
Pages : 470
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Book Description
This book discusses inventory models for determining optimal ordering policies using various optimization techniques, genetic algorithms, and data mining concepts. It also provides sensitivity analyses for the models’ robustness. It presents a collection of mathematical models that deal with real industry scenarios. All mathematical model solutions are provided with the help of various optimization techniques to determine optimal ordering policy. The book offers a range of perspectives on the implementation of optimization techniques, inflation, trade credit financing, fuzzy systems, human error, learning in production, inspection, green supply chains, closed supply chains, reworks, game theory approaches, genetic algorithms, and data mining, as well as research on big data applications for inventory management and control. Starting from deterministic inventory models, the book moves towards advanced inventory models. The content is divided into eight major sections: inventory control and management – inventory models with trade credit financing for imperfect quality items; environmental impact on ordering policies; impact of learning on the supply chain models; EOQ models considering warehousing; optimal ordering policies with data mining and PSO techniques; supply chain models in fuzzy environments; optimal production models for multi-items and multi-retailers; and a marketing model to understand buying behaviour. Given its scope, the book offers a valuable resource for practitioners, instructors, students and researchers alike. It also offers essential insights to help retailers/managers improve business functions and make more accurate and realistic decisions.
Author:
Publisher:
ISBN:
Category : Inventory control
Languages : en
Pages : 272
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Book Description
Author: Mohamad Y. Jaber
Publisher: CRC Press
ISBN: 1420079980
Category : Business & Economics
Languages : en
Pages : 246
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Book Description
As markets become more dynamic and competitive, companies must reconsider how they view inventory and make changes to their production and inventory systems. They must begin to think outside the classical box and develop a new paradigm of inventory management. Exploring the trend away from classical models based on economic order quantities to depe
