Axsäter / Schneeweiss / Silver Multi-Stage Production Planning and Inventory Control

Erscheinungsjahr 2012
ISBN: 978-3-642-51693-1
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 266, 264 Seiten, eBook

Reihe: Lecture Notes in Economics and Mathematical Systems

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.

Zielgruppe

Research

Autoren/Hrsg.

Axsäter, Sven

Schneeweiss, Christoph

Silver, Edward

Inhaltsverzeichnis

Some Modelling Theoretic Remarks on Multi-Stage Production Planning.- Inventory — Production and Distribution Systems.- Two-Stage Production Planning in a Dynamic Environment.- Overview of a Stock Allocation Model for a Two-Echelon Push System Having Identical Units at the Lower Echelon.- System — Based Heuristics for Multi-Echelon Distribution Systems.- A Branch and Bound Algorithm for the Multi Item Single Level Capacitated Dynamic Lotsizing Problem.- Multi-Stage Lot-Sizing.- Aggregating Items in Multi-Level Lot Sizing.- Optimal Lot-Sizing for Dynamic Assembly Systems.- Planning Component Delivery Intervals in Constrained Assembly Systems.- Multi-Stage Lot-Sizing for General Production Systems.- Practical Applications and Hierarchical Integration Problems.- Practical Application of the Echelon Approach in a System with Divergent Product Structures.- Hierarchical Production Planning: Tuning Aggregate Planning with Sequencing and Scheduling.- The Design of an Hierarchical Model for Production Planning and Scheduling.- About Authors.