Research Article
Supply Chain Optimization Modeling, a Case Study of a Glass Industry in Nigeria
Alexander Akene, Oluwayomi J. Oyejide
Corresponding Author : Alexander Akene
Department of Mechanical Engineering, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria.
Email ID : akene.alexander@fupre.edu.ng
Received : 2020-04-15 Accepted : 2020-05-26 Published : 2020-05-26
Abstract : The application of processes and tools such as supply chain optimization mathematical programming tool, which ensures cost optimization or profit maximization of any establishment is of great importance in our ever-changing world. In this study, solution for supply chain optimization problem for a pre-deterministic demand of supplier to customer requirements in which demand uncertainties were not considered was carried out using a case study of a glass industry in Nigeria. A mathematical optimization model with cost minimization as its main objective function given all its sets of constraints was developed. The model was implemented using Generalized Algebraic Modeling System (GAMS) and results obtained were compared with that of LINGO solver. Generated data obtained from a glass industry in Nigeria was computed in the proposed models. The outcome of the results revealed that the objectives function Z (optimal cost) of the GAMS model was about 3% more than that of the LINGO model system. Besides, the raw material requirement analysis showed a difference of not more than 2% between the two models. From the GAMS results as compared to that of the test value, it was observed that there was an 8% reduction in the total operating cost of production when compared to that of the real value obtained. More so, the results of the raw material requirement obtained from both models showed slight variations as well, validating the results obtained from the model implemented. In addition, an affectability test with a 5% increase in the transportation cost impacted greatly on the overall cost of operation leading to a higher cost of production.
Keywords : Optimization, model, supply chain, cost, glass industry
Citation : Alexander Akene et al. (2020). Supply Chain Optimization Modeling, a Case Study of a Glass Industry in Nigeria. J. of Advancement in Engineering and Technology, V7I4.07. DOI : 10.5281/zenodo.3855528
Copyright : © 2020 Alexander Akene. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Journal of Advanced Botany and Zoology
ISSN : 2348-2931
Volume 7 / Issue 4
ScienceQ Publishing Group
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Reviewer Comments : #1
* The paper targets an interesting application of classical heuristics in addressing supply chain problem in a glass industry, which others have worked on. Clarify the novelty of this application.
* Most of the references used in the study are old, more current comprehensive literature study is required.
* More careful checking, proof reading is required to remove inconsistencies, etc. For example, in section # 2.0. “The issue embraced is a pre-deterministic interest of provider to client necessities in which request vulnerabilities were not thought of.” There is need for clearer statement herein.
* What is the amount of data did you use in this study ?
* The methodology used for the whole application is not clear. The formulation, constraints, limitations, input, output, and the tools utilized should be detailed.
* A lot of contextual spelling, Grammar, and punctuation errors were found (see main document) and should be corrected to enhance writing quality.
Author has made all the necessary changes suggested by reviewer
Final Recommendations:
All comments raised by the reviewer has been revised and the corrected version of the final manuscript. The paper can be published after a final grammar check.
Prof. Onyewuchi Oguoma
Mechanical Engineering, Federal University of Technology Owerri, Nigeria.
Email: wuchi.oguoma@yahoo.com
#2
1. I suggest the topic be changed to "Supply Chain Optimization Modelling in a Glass Industry”.
2. The analysis of your work is not detailed enough.
3. Why was the Generalized Algebraic Modeling System (GAMS) and LINGO solver used in the research.
5. Is your data source from the glass industry a primary or secondary data? If it is secondary, it is necessary to provide the citation.
6. Kindly state the research gap explored, the objectives, significance and novelty of the work at the latter part of the main introduction/literature review
.
7. The manuscript is not well structured. Kindly structure properly.
8. Kindly modify the conclusion as a summary of the research findings vis-à-vis the objectives. It implies the authors need to clearly state the objectives first.
9. The statistical analysis and significance of Figures as well as Tables was not done. All the results obtained have implications/relevance. Kindly discuss.
10. Do proper grammar check.
Author has made all the necessary changes suggested by reviewer
Final Recommendations:
Thank you for re-submission of your work. I have observed that corrections have been modified as recommended.
I am pleased to inform you that your paper " Supply Chain Optimization Modelling, a Case Study of a Glass Industry in Nigeria” is quite satisfactory for publication.
Dr. M.O.Okwu
Mechanical and Industrial Engineering, University of Johannesburg, South Africa.
Email: mechanicalmodestus@yahoo.com