Inventory Control, Dieter Bartmann; Martin F. Bach

Автор: Baoding Liu; Augustine O. Esogbue
Название: Decision Criteria and Optimal Inventory Processes
ISBN: 0792384687 ISBN-13(EAN): 9780792384687
Издательство: Springer
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Цена: 158380.00 T
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Описание: Provides a theoretical and practical introduction to decision criteria and inventory processes. This title presents Inventory theory by focusing on the analysis and processes underlying decision criteria. It pays special attention to the analysis of some theoretical and applied aspects of fuzzy criteria and dynamic fuzzy criterion models.

Автор: Lang, J. Christian
Название: Production and inventory management with substitutions
ISBN: 3642042465 ISBN-13(EAN): 9783642042461
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book addresses production and inventory management problems where products can be replaced by specified substitutes. It examines the development of graphical modeling approaches for substitution options and production planning models.

Автор: David D. Yao; Shaohui Zheng
Название: Dynamic Control of Quality in Production-Inventory Systems
ISBN: 1468492497 ISBN-13(EAN): 9781468492491
Издательство: Springer
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Цена: 46570.00 T
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Описание: Looks at quality management in a new way; Offers a very different mathematical tool set than traditionally employed for quality control problems; Yao is a leading researcher in the area of stochastic modeling and the author of a previous Springer book

Название: Inventory Control
ISBN: 3319157280 ISBN-13(EAN): 9783319157283
Издательство: Springer
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Цена: 74530.00 T
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Описание: This third edition, which has been fully updated and now includes improved and extended explanations, is suitable as a core textbook as well as a source book for industry practitioners.

Автор: Geert-Jan van Houtum; Bram Kranenburg
Название: Spare Parts Inventory Control under System Availability Constraints
ISBN: 1489976086 ISBN-13(EAN): 9781489976086
Издательство: Springer
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Цена: 93160.00 T
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Автор: Attila Chik?n; B. Szony; P. Kelle
Название: Inventory Models
ISBN: 0792304942 ISBN-13(EAN): 9780792304944
Издательство: Springer
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Цена: 325160.00 T
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Автор: C.A. Schneeweiss
Название: Inventory-Production Theory
ISBN: 3540084436 ISBN-13(EAN): 9783540084433
Издательство: Springer
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Цена: 102480.00 T
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Описание: such models like cash balance models, production smoothing models and pure inventory models. However, there exists one particular situa- tion when a separation in a forecasting procedure and a subse- quent optimization of the remaining deterministic model is not suboptimal. a model having linear system equations and a quadratic cost crite- rion.

Автор: Suresh P. Sethi; Houmin Yan; Hanqin Zhang
Название: Inventory and Supply Chain Management with Forecast Updates
ISBN: 1441954813 ISBN-13(EAN): 9781441954817
Издательство: Springer
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Цена: 121110.00 T
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Описание: Real problems are formulated into tractable mathematical models, which allow for an analysis of various approaches. Attention is focused on solutions. Provides a unified treatment of the models discussed , presents a critique of the existing results, and points out potential research directions.

Автор: Baoding Liu; Augustine O. Esogbue
Название: Decision Criteria and Optimal Inventory Processes
ISBN: 146137345X ISBN-13(EAN): 9781461373452
Издательство: Springer
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Цена: 139750.00 T
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Описание: Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory processes.

Автор: Craig C. Sherbrooke
Название: Optimal Inventory Modeling of Systems
ISBN: 1475788517 ISBN-13(EAN): 9781475788518
Издательство: Springer
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Цена: 260870.00 T
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Описание: Most books on inventory theory use the item approach to determine stock levels, ignoring the impact of unit cost, echelon location, and hardware indenture.

Название: Integrated models in production planning, inventory, quality, and maintenance
ISBN: 1461356520 ISBN-13(EAN): 9781461356523
Издательство: Springer
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Цена: 149060.00 T
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Описание: Prominent researchers, who are actively engaged in these areas, have contributed the topical chapters focused on the most recent issues in the area. In Part I, Ben-Daya and Rahim provide an overview of the literature dealing with integrated models for production, quality, and maintenance.

Автор: John A. Muckstadt; Amar Sapra
Название: Principles of Inventory Management
ISBN: 1493938630 ISBN-13(EAN): 9781493938636
Издательство: Springer
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Цена: 55890.00 T
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Описание: 1 Inventories Are Everywhere.- 1.1 The Roles of Inventory.- 1.2 Fundamental Questions.- 1.3 Factors Affecting Inventory Policy Decisions.- 1.3.1 System Structure.- 1.3.2 The Items.- 1.3.3 Market Characteristics.- 1.3.4 Lead Times.- 1.3.5 Costs.- 1.4 Measuring Performance.- 2 EOQ Model.- 2.1 Model Development: Economic Order Quantity (EOQ) Model.- 2.1.1 Robustness of the EOQ Model.- 2.1.2 Reorder Point and Reorder Interval.- 2.2 EOQ Model with Backordering Allowed.- 2.2.1 The Optimal Cost.- 2.3 Quantity Discount Model.- 2.3.1 All Units Discount.- 2.3.2 An Algorithm to Determine the Optimal Order Quantity for the All Units Discount Case.- 2.3.3 Incremental Quantity Discounts.- 2.3.4 An Algorithm to Determine the Optimal Order Quantity for the Incremental Quantity Discount Case.- 2.4 Lot Sizing When Constraints Exist.- 2.5 Exercises.- 3 Power-of-Two Policies.- 3.1 Basic Framework.- 3.1.1 Power-of-Two Policies.- 3.1.2 PO2 Policy for a Single-Stage System.- 3.1.2.1 Cost for the Optimal PO2 Policy.- 3.2 Serial Systems.- 3.2.1 Assumptions and Nomenclature.- 3.2.2 A Mathematical Model for Serial Systems.- 3.2.3 Algorithm to Obtain an Optimal Solution to (RP).- 3.3 Multi-Echelon Distribution Systems.- 3.3.1 A Mathematical Model for Distribution Systems.- 3.3.1.1 Relaxed Problem.- 3.3.2 Powers-of-Two Solution.- 3.4 Joint Replenishment Problem (JRP).- 3.4.1 A Mathematical Model for Joint Replenishment Systems.- 3.4.2 Rounding the Solution to the Relaxed Problem.- 3.5 Exercises.- Dynamic Lot Sizing with Deterministic Demand.- 4.1 The Wagner-Whitin (WW) Algorithm.- 4.1.1 Solution Approach.- 4.1.2 Algorithm.- 4.1.3 Shortest-Path Representation of the Dynamic Lot Sizing Problem.- 4.1.4 Technical Appendix for the Wagner-Whitin Algorithm.- 4.2 Wagelmans-Hoesel-Kolen (WHK) Algorithm.- 4.2.1 Model Formulation.- 4.2.2 An Order T logT Algorithm for Solving Problem (4.5).- 4.2.3 Algorithm.- 4.3 Heuristic Methods.- 4.3.1 Silver-Meal Heuristic.- 4.3.2 Least UnitCost Heuristic.- 4.4 A Comment on the Planning Horizon.- 4.5 Exercises.- 5 Single-Period Models.- 5.1 Making Decisions in the Presence of Uncertainty.- 5.2 An Example.- 5.2.1 The Data.- 5.2.2 The Decision Model.- 5.3 Another Example.- 5.4 Multiple Items.- 5.4.1 A General Model.- 5.4.2 Multiple Constraints.- 5.5 Exercises.- 6 Inventory Planning over Multiple Time Periods: Linear-Cost Case.- 6.1 Optimal Policies.- 6.1.1 The Single-Unit, Single-Customer Approach: Single-Location Case.- 6.1.1.1 Notation and Definitions.- 6.1.1.2 Optimality of Base-Stock Policies.- 6.1.1.3 Stochastic Lead Times.- 6.1.1.4 The Serial Systems Case.- 6.1.1.5 Generalized of Demand Model.- 6.1.1.6 Capacity Limitations.- 6.2 Finding Optimal Stock Levels.- 6.2.1 Finite Planning Horizon Analysis.- 6.2.2 Constant, Positive Lead Time Case.- 6.2.3 End-of-Horizon Effects.- 6.2.4 Infinite-Horizon Analysis.- 6.2.5 Lost Sales.- 6.3 Capacity Limited Systems.- 6.3.1 The Shortfall Distribution.- 6.3.1.1 General Properties.- 6.3.2 Discrete Demand Case.- 6.3.3 An Example.- 6.4 A Serial System.- 6.4.1 An Echelon-Based Approach for Managing Inventories in Serial Systems.- 6.4.1.1 A Decision Model.- 6.4.1.2 A Dynamic Programming Formulation of the Decision Problem.- 6.4.1.3 An Algorithm for Computing Optimal Echelon Stock Levels.- 6.4.1.4 Solving the Oil Rig Problem: The Stationary Demand Case.- 6.5 Exercises.- 7 Background Concepts: An Introduction to the (s-1, s) Policy under Poisson Demand.- 7.1 Steady State.- 7.1.1 Backorder Case.- 7.1.2 Lost Sales Case.- 7.2 Performance Measures.- 7.3 Properties of the Performance Measures.- 7.4 Finding Stock Levels in (s-1, s) Policy Managed Systems: Optimization Problem Formulations and Solution Algorithms.- 7.4.1 First Example: Minimize Expected Backorders Subject to an Inventory Investment Constraint.- 7.4.2 Second Example: Maximize Expected System Average Fill Rate Subject to an Inventory Investment Constraint.- 7.5 Exercises.- 8 A Tactical Planning Model f