Research Reports from the Department of Operations

Document Type

Dissertation

Publication Date

5-14-1989

Abstract

The distribution network for refined petroleum products is multicommodity in nature since multiple products must share the same transportation resources. To satisfactorily model this network in order to study strategic decisions requires modeling multiple time periods and the use of integer variables for fixed costs. Although the problem can be mathematically formulated as a mixed integer linear program the number of variables makes it difficult to solve using standard linear programming software for real world problems. In order to exploit the structure of the problem, which includes coupling constraints, coupling variables and embedded networks, a three-level decomposition algorithm using the large scale programming techniques of partitioning and decomposition has been developed. The first level partitions the integer variables and coupling variables (inventory variables) into one set and the product flow variables into the other set. The first set of variables is fixed while a subproblem is solved for the second set. Results from the subproblem are used to generate constraints for a relaxed master problem. Solution of the subproblem results in the second level of decomposition where the embedded networks become subproblems, at the third level, to a master problem which includes the side constraints. It is shown that the necessary results can be obtained via solution of the subproblem by decomposition. The decomposition algorithm was implemented and a case study solved.

Keywords

Operations research, Transportation--Planning, Mathematical optimization, Petroleum products--Transportation--Mathematical models, Supply chain management, Linear programming, Large scale systems--Mathematical models

Publication Title

Dissertation, Department of Operations, School of Management, Case Western Reserve University

Issue

Technical memorandum no. 671 ; Submitted in partial fulfillment of the requirements for the Degree of Doctor of Philosophy.

Rights

This work is in the public domain and may be freely downloaded for personal or academic use

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.