Breadcrumb

 
 

Improving the Stability of Supply Chain Operations Planning Considering the Effects of Congestion

Title:

Improving the Stability of Supply Chain Operations Planning Considering the Effects of Congestion

Omar, Rayan Saleem M (2012) Improving the Stability of Supply Chain Operations Planning Considering the Effects of Congestion. Masters thesis, Concordia University.

[img]PDF - Accepted Version
9Kb

Abstract

Reacting to customer demand changes by frequently re-planning and re-scheduling the production plans is one of the managerial perspectives to improve customer satisfaction enabled through new information technologies such as Radio Frequency Identification (RFID). However, this may cause nervousness in supply chain operations, resulting in unexpected operational costs, and increased lead time due to congestion in the nodes of the supply chain. The objective of this thesis is to develop a decision support system to identify the lot sizing and batching decisions by considering the congestion effects resulting from uncertainties in a supply chain environment. A Mixed Integer Linear Programming (MILP) model is developed to determine lot sizing decisions for a supply chain. The developed MILP model considers the effect of congestion at the supplier nodes using queuing models. In addition, instability metrics are proposed to measure the stability of supply chain lot sizing decisions. The output of the lot sizing decisions is tested with the proposed metrics in a simulation environment by considering various uncertainty levels. A sensitivity analysis is conducted in order to demonstrate the impact of batching and supplier capacity decisions under high, medium, and low demand variability. The results show that increasing the supplier capacity by a small increment has a significant improvement on the total cost. Moreover, considering the congestion effect into their MRP schedule increases the overall service level. The benefits of incorporating the congestion effects have also been demonstrated by the proposed stability metric.

Divisions:Concordia University > Faculty of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (Masters)
Authors:Omar, Rayan Saleem M
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Industrial Engineering
Date:22 June 2012
Thesis Supervisor(s):Kuzgunkaya, Onur
ID Code:974552
Deposited By:RAYAN OMAR
Deposited On:25 Oct 2012 10:34
Last Modified:25 Oct 2012 10:34
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Document Downloads

More statistics for this item...

Concordia University - Footer