Graduate Thesis Or Dissertation
 

The maximum principle and its application to industrial engineering problems

Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/z316q462j

Descriptions

Attribute NameValues
Creator
Abstract
  • The maximum principle developed by the Russian mathematician, L.S. Pontryagin is considered to be one of the most significant contributions to the recent advances in mathematical optimization techniques. Unfortunately, most of the published literature on the application of the maximum principle is in the field of control system design, and very little has been published on the application of this principle to industrial engineering problems. The purpose of this thesis is to apply the maximum principle to practical problems in industry and business. Examples from inventory control, production planning and investment problems are presented. This thesis is also intended to critically compare the discrete version of Pontryagin's principle with other traditional optimization techniques and to present an alternate derivation of the algorithm of the discrete maximum principle. The dissertation is composed of two parts. Part I introduces briefly the basic theory of Pontryagin's maximum principle for time-optimizing continuous processes. It contains the algorithm, the derivation of the algorithm and the application to the inventory control problem. Part II discusses the discrete version of the maximum principle. It presents the statement of the algorithm, its derivation, the applications to the production planning and investment problems, and the analysis of the algorithm. Concluding remarks are presented in the last section of Part II. A tabulating programming technique based on the maximum principle has been developed for industrial and business application. Its procedure and an example are also included in Part II.
Resource Type
Date Available
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Publisher
Peer Reviewed
Language
Digitization Specifications
  • File scanned at 300 ppi using Capture Perfect 3.0 on a Canon DR-9050C in PDF format. CVista PdfCompressor 5.0 was used for pdf compression and textual OCR.
Replaces

Relationships

Parents:

This work has no parents.

In Collection:

Items