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This paper treats a two-echelon inventory system. The higher echelon is a single location reffered to as the depot, which places orders for supply of a single com­ modity. The lower echelon consists of several points, called the retailers, which are supplied by shipments from the depot, and at which random demands for the item occur. Stocks are reviewed and decisions are made periodically. Orders and/or shipments may each require a fixed lead time before reaching their respective desti­ nations. Section II gives a short literature review of distribution research. Section III introduces the multi-echelon distribution system together with the underlying as­ sumptions and gives a description of how this problem can be viewed as a Markovian Decision Process. Section IV discusses the concept of cost modifications in a distribution context. Section V presents the test-examples together with their optimal solutions and also gives the characteristic properties of these optimal solutions. These properties then will be used in section VI to give adapted ver­ sions of various heuristics which were used in assembly experiments previously and which will be tested against the test-examples.








Content:
Front Matter....Pages I-V
Some Modelling Theoretic Remarks on Multi-Stage Production Planning....Pages 1-8
Two-Stage Production Planning in a Dynamic Environment....Pages 9-43
Overview of a Stock Allocation Model for a Two-Echelon Push System Having Identical Units at the Lower Echelon....Pages 44-49
System — Based Heuristics for Multi-Echelon Distribution Systems....Pages 50-91
A Branch and Bound Algorithm for the Multi Item Single Level Capacitated Dynamic Lotsizing Problem....Pages 92-108
Aggregating Items in Multi-Level Lot Sizing....Pages 109-118
Optimal Lot-Sizing for Dynamic Assembly Systems....Pages 119-131
Planning Component Delivery Intervals in Constrained Assembly Systems....Pages 132-149
Multi-Stage Lot-Sizing for General Production Systems....Pages 150-181
Practical Application of the Echelon Approach in a System with Divergent Product Structures....Pages 182-196
Hierarchical Production Planning: Tuning Aggregate Planning with Sequencing and Scheduling....Pages 197-226
The Design of an Hierarchical Model for Production Planning and Scheduling....Pages 227-260
Back Matter....Pages 261-264



Content:
Front Matter....Pages I-V
Some Modelling Theoretic Remarks on Multi-Stage Production Planning....Pages 1-8
Two-Stage Production Planning in a Dynamic Environment....Pages 9-43
Overview of a Stock Allocation Model for a Two-Echelon Push System Having Identical Units at the Lower Echelon....Pages 44-49
System — Based Heuristics for Multi-Echelon Distribution Systems....Pages 50-91
A Branch and Bound Algorithm for the Multi Item Single Level Capacitated Dynamic Lotsizing Problem....Pages 92-108
Aggregating Items in Multi-Level Lot Sizing....Pages 109-118
Optimal Lot-Sizing for Dynamic Assembly Systems....Pages 119-131
Planning Component Delivery Intervals in Constrained Assembly Systems....Pages 132-149
Multi-Stage Lot-Sizing for General Production Systems....Pages 150-181
Practical Application of the Echelon Approach in a System with Divergent Product Structures....Pages 182-196
Hierarchical Production Planning: Tuning Aggregate Planning with Sequencing and Scheduling....Pages 197-226
The Design of an Hierarchical Model for Production Planning and Scheduling....Pages 227-260
Back Matter....Pages 261-264
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