<p>Billions of dollars are tied up in the inventories of manufacturing companies which cause large (interest) costs. A small decrease of the inventory and/or production costs without reduction of the service level can increase the profit substantially. Especially in the case of scarce capacity, effi
Deterministic Lotsizing Models for Production Planning
β Scribed by Dr. Marc Salomon (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 1991
- Tongue
- English
- Leaves
- 162
- Series
- Lecture Notes in Economics and Mathematical Systems 355
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This thesis deals with timing and sizing decisions for production lots, and more precisely, with mathematical models to support optimal timΒ ing and sizing decisions. These models are called lotsizing models. They are characterized by the fact that production lots are determined based on a trade-offbetween production costs and customer service. Production costs can be categorized as basic production costs, which consist of material costs, labour costs, machine startup costs and overΒ head costs, and inventory related costs, which include costs of capital tied up in inventory, insurances and taxes. Customer service is the capability of the firm to deliver to their clients the products in the quantity they ordered at the agreed upon time and place. The costs of realizing a certain service level are usuaIly very difΒ ficult to convert into money. They include costs of expediting, loss of customer goodwill, and loss of sales revenues resulting from the shortΒ age situation.
β¦ Table of Contents
Front Matter....Pages I-VII
Introduction....Pages 1-15
Model Survey....Pages 17-38
The Discrete Lotsizing and Scheduling Problem (DLSP)....Pages 39-56
The Single Item DLSP....Pages 57-78
The Multi-item DLSP....Pages 79-102
The Uncapacitated Problem....Pages 103-117
The Capacitated Problem....Pages 119-141
Back Matter....Pages 143-158
β¦ Subjects
Production/Logistics/Supply Chain Management; Operation Research/Decision Theory
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