Dynamic lot sizing problems with stochastic production output

Dynamic lot sizing problems with stochastic production output PDF Author: Michael Kirste
Publisher: BoD – Books on Demand
ISBN: 3744838056
Category : Business & Economics
Languages : en
Pages : 250

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Book Description
In the real world, production systems are affected by external and internal uncertainties. Stochastic demand - an external uncertainty - arises mainly due to forecast errors and unknown behavior of customers in future. Internal uncertainties occur in situations where random yield, random production capacity, or stochastic processing times affect the productivity of a manufacturing system. The resulting stochastic production output is especially present in industries with modern and complex technologies as the semiconductor industry. This thesis provides model formulations and solution methods for capacitated dynamic lot sizing problems with stochastic demand and stochastic production output that can be used by practitioners within Manufacturing Resource Planning Systems (MRP), Capacitated Production Planning Systems (CPPS), and Advanced Planning Systems (APS). In all models, backordered demand is controlled with service levels. Numerical studies compare the solution methods and give managerial implications in presence of stochastic production output. This book addresses practitioners, consultants, and developers as well as students, lecturers, and researchers with focus on lot sizing, production planning, and supply chain management.

Dynamic lot sizing problems with stochastic production output

Dynamic lot sizing problems with stochastic production output PDF Author: Michael Kirste
Publisher: BoD – Books on Demand
ISBN: 3744838056
Category : Business & Economics
Languages : en
Pages : 250

Get Book Here

Book Description
In the real world, production systems are affected by external and internal uncertainties. Stochastic demand - an external uncertainty - arises mainly due to forecast errors and unknown behavior of customers in future. Internal uncertainties occur in situations where random yield, random production capacity, or stochastic processing times affect the productivity of a manufacturing system. The resulting stochastic production output is especially present in industries with modern and complex technologies as the semiconductor industry. This thesis provides model formulations and solution methods for capacitated dynamic lot sizing problems with stochastic demand and stochastic production output that can be used by practitioners within Manufacturing Resource Planning Systems (MRP), Capacitated Production Planning Systems (CPPS), and Advanced Planning Systems (APS). In all models, backordered demand is controlled with service levels. Numerical studies compare the solution methods and give managerial implications in presence of stochastic production output. This book addresses practitioners, consultants, and developers as well as students, lecturers, and researchers with focus on lot sizing, production planning, and supply chain management.

Inventory Analytics

Inventory Analytics PDF Author: Horst Tempelmeier
Publisher: BoD – Books on Demand
ISBN: 375193071X
Category : Business & Economics
Languages : en
Pages : 290

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Book Description
This textbook provides a practice-oriented introduction into Analytics-based inventory management in complex supply chains. In the context of Business Analytics, we concentrate on Prescriptive Analytics. In addition to standard single-level inventory models also multi-level approaches for the optimal allocation of safety inventory are presented. Moreover, dynamic lot sizing problems under random demand and random yield and their relationship to Material Requirements Planning (MRP) are discussed.The models and algorithms are illustrated with the help of numerous examples. The book has been written for students of Supply Chain Management and Operations Management as well as for practitioners who are confronted with inventory management in their daily work.

Stochastic Dynamic Lot-Sizing in Supply Chains

Stochastic Dynamic Lot-Sizing in Supply Chains PDF Author: Timo Jannis Hilger
Publisher: BoD – Books on Demand
ISBN: 3738626972
Category : Business & Economics
Languages : en
Pages : 230

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Book Description
Companies frequently operate in an uncertain environment and many real life production planning problems imply volatility and stochastics of the customer demands. Thereby, the determination of the lot-sizes and the production periods significantly affects the profitability of a manufacturing company and the service offered to the customers. This thesis provides practice-oriented formulations and variants of dynamic lot-sizing problems in presence of restricted production resources and demand uncertainty. The demand fulfillment is regulated by service level constraints. Additionally, integrated production and remanufacturing planning under demand and return uncertainty in closed-loop supply chains is addressed. This book offers introductions to these problems and presents approximation models that can be applied under uncertainty. Comprehensive numerical studies provide managerial implications. The book is written for practitioners interested in supply chain management and production as well as for lecturers and students in business studies with a focus on supply chain management and operations management.

Handbook of Stochastic Models and Analysis of Manufacturing System Operations

Handbook of Stochastic Models and Analysis of Manufacturing System Operations PDF 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.

Computer & Control Abstracts

Computer & Control Abstracts PDF Author:
Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages :

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Book Description


Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains

Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains PDF Author: J. George Shanthikumar
Publisher: Springer Science & Business Media
ISBN: 1461503736
Category : Business & Economics
Languages : en
Pages : 413

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Book Description
This volume originates from two workshops, both focusing on themes that are reflected in the title of the volume. The first workshop took place at Eindhoven University of Technology, April 24-26, 2001, on the occasion of the University granting a doctorate honoris causa to Profes sor John A. Buzacott. The second workshop was held on June 15, 2002 at Cornell University (preceding the annual INFORMSjMSOM Confer ence), honoring John's retirement and his lifetime contributions. Each of the two workshops consisted of about a dozen technical presentations. The objective of the volume, however, is not to simply publish the proceedings of the two workshops. Rather, our objective is to put to gether a select set of articles, each organized into a well-written chapter, focusing on a timely topic. Collected into a single volume, these chapters aim to serve as a useful reference for researchers and practitioners alike, and also as reading materials for graduate courses or seminars.

Mathematical Optimization and Economic Theory

Mathematical Optimization and Economic Theory PDF Author: Michael D. Intriligator
Publisher: SIAM
ISBN: 0898715113
Category : Mathematics
Languages : en
Pages : 515

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Book Description
A classic account of mathematical programming and control techniques and their applications to static and dynamic problems in economics.

Management Science

Management Science PDF Author:
Publisher:
ISBN:
Category : Industrial management
Languages : en
Pages : 548

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Book Description
Issues for Feb. 1965-Aug. 1967 include Bulletin of the Institute of Management Sciences.

Handbook on Data Envelopment Analysis

Handbook on Data Envelopment Analysis PDF Author: William W. Cooper
Publisher: Taylor & Francis
ISBN: 9781402077975
Category : Business & Economics
Languages : en
Pages : 616

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Book Description
This Handbook has been developed as a comprehensive reference for researchers, students and practitioners. It reflects the state-of-the-art in Data Envelopment Analysis. It also represents a milestone in the progression of a continuously advancing methodology. which has extensive utility. Written by experts - who are the major research contributors to the topics covered - the Handbook is organized in three sections. The first section is a comprehensive examination of the basic DEA models and DEA extensions. The second section consists of a collection of coverages by persons experienced in applications to the areas of banking, education, sports, retailing, health care, etc. The final section is a review of current DEA software technology.

Production Planning by Mixed Integer Programming

Production Planning by Mixed Integer Programming PDF Author: Yves Pochet
Publisher: Springer Science & Business Media
ISBN: 0387299599
Category : Business & Economics
Languages : en
Pages : 506

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Book Description
This textbook provides a comprehensive modeling, reformulation and optimization approach for solving production planning and supply chain planning problems, covering topics from a basic introduction to planning systems, mixed integer programming (MIP) models and algorithms through the advanced description of mathematical results in polyhedral combinatorics required to solve these problems. Based on twenty years worth of research in which the authors have played a significant role, the book addresses real life industrial production planning problems (involving complex production structures with multiple production stages) using MIP modeling and reformulation approach. The book provides an introduction to MIP modeling and to planning systems, a unique collection of reformulation results, and an easy to use problem-solving library. This approach is demonstrated through a series of real life case studies, exercises and detailed illustrations. Review by Jakub Marecek (Computer Journal) The emphasis put on mixed integer rounding and mixing sets, heuristics in-built in general purpose integer programming solvers, as well as on decompositions and heuristics using integer programming should be praised... There is no doubt that this volume offers the present best introduction to integer programming formulations of lotsizing problems, encountered in production planning. (2007)