Abstract
The main aim of this thesis is to develop an optimization model that provides an optimal production plan for a make-to-stock (MTS) manufacturing environment that includes the production of multi products on multiple machines over a definite number of planning periods. While optimizing the production plan and inventory levels for this general problem under study, a set of constraints will be kept throughout the planning horizon. These constraints include maximum production capacity, maxrmum storage capacity, minimum and maximum coverage, minimum production quantities and others. Mixed integer programming (MIP) will be used as a tool to optimize the total cost involved in such a problem within the MTS manufacturing environment; mathematical programming language (MPL) will be the software used for solving the 1v1IP model. To validate the effectiveness of this optimization model, a company that exhibits the same characteristics of the MTS environment is chosen and its optimal production plan is developed. The company chosen to apply this model to is Nestle Egypt, specifically its ice cream factory. Due to the nature of the above problem within the MTS manufacturing environment, which is characterized by severe seasonality in demand, an auxiliary model that generates statistical forecast will be developed. The output of such a model will be used as an input to the main 1v1IP model. Another auxiliary model that calculates adequate safety stock levels for each product will be also developed in order to account for demand fluctuations. A sensitivity analysis is done to test the effect of all variables on the objective function. Based on such analysis, the effect of changing some resources is investigated along with testing the effect of changing the coefficients of the objective function. The benefits of using such a model are highlighted showing substantial savings when compared to the currently used production plan. Estimated savings generated from applying the proposed model on a large scale by Nestle Egypt, could exceed 1,100,000 LE per year.
School
School of Sciences and Engineering
Date of Award
6-1-2002
Online Submission Date
1-1-2002
First Advisor
Hatem Elayat
Committee Member 1
Nahed Sobhi Abdel Nour
Committee Member 2
Amin El Kharbotly
Committee Member 3
Maher Y.A. Younan
Document Type
Thesis
Extent
108 leaves
Library of Congress Subject Heading 1
Production engineering.
Library of Congress Subject Heading 2
Manufacturing processes.
Rights
The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy.
Recommended Citation
APA Citation
Nofal, A.
(2002).An optimal production plan in a Make-to-Stock manufacturing environment using mixed integer programming [Thesis, the American University in Cairo]. AUC Knowledge Fountain.
https://fount.aucegypt.edu/retro_etds/1649
MLA Citation
Nofal, Amr Mohamed. An optimal production plan in a Make-to-Stock manufacturing environment using mixed integer programming. 2002. American University in Cairo, Thesis. AUC Knowledge Fountain.
https://fount.aucegypt.edu/retro_etds/1649
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Call Number
Thesis 2002/38
Location
mgfth