Diagnostic Analysis of Operations in a Manufacturing System Using Goal Programming Model Authors V.M. Mbachu Nnamdi Azikiwe University, Awka, Nigeria O. R. Okeke Nnamdi Azikiwe University, Awka, Nigeria A. E. Chinweze Nnamdi Azikiwe University, Awka, Nigeria E. O. Akintona Nnamdi Azikiwe University, Awka, Nigeria DOI: https://doi.org/10.64383/irjss.AUG240806 Keywords: Operations Managements, Mathematical Modelling, Goal Programming, Decision Support System Abstract Many manufacturing industries in this part of the globe are faced with lack of reliable Decision Support Systems (DSS) for operations planning and control. Having identified the job, operation or system beckoning for improvement study, the next steps involve is the development, solving and implementation of the recommendations from the result of solved model(s). Having analyzed different aspects of applications of mathematical modelling in operations managements, this article illustrated the development and application of goal programming model in diagnostic analysis of operations in manufacturing system, setting production targets in a selected manufacturing industry with default production characteristics. Some real life interpretation of some of the models’ parameters and components in the application area were discussed with the view of enhancing efficiency of production planning and control. Author Biographies V.M. Mbachu, Nnamdi Azikiwe University, Awka, Nigeria Department of Industrial and Production Engineering O. R. Okeke, Nnamdi Azikiwe University, Awka, Nigeria Department of Industrial and Production Engineering A. E. Chinweze, Nnamdi Azikiwe University, Awka, Nigeria Department of Mechanical Engineering E. O. Akintona, Nnamdi Azikiwe University, Awka, Nigeria Department of Industrial and Production Engineering References [1] Slack, N., Chambers, S., and Johnston, R. (2010). Operations Management, 6th edn, Pearson Education Limited, Harlow. [2] Jones, D., and Tamiz, M. (2010). Goal Programming Variants. In: Practical Goal Programming. International Series in Operations Research and Management Science, vol 141. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5771-9_2 [3] Ayomoh, M. (2005) An Optimal Preventive Maintenance Model Using Goal Programming. The International Journal of Industrial Engineering: Theory, Applications and Practice Vol. 12(4):Pp. 354-364 [4] Jayaraman, R., Colapinto, C., La Torre, D. and Malik, T. (2017) A Weighted Goal Programming model for planning sustainable development applied to Gulf Cooperation Council Countries, Applied Energy, 185(2), pp 1931-1939. https://doi.org/10.1016/j.apenergy.2016.04.065 [5] Gütmen, S., Roy, S. and Weber, G. (2023). An overview of weighted goal programming: a multi-objective transportation problem with some fresh viewpoints. Central European Journal of Operations Research. 32. 1-12. 10.1007/s10100-023-00861-5. [6] Mohanty, R.P. and Koay, J.C.C. (1988), "A Goal Programming Application for Waste Treatment Quality Control", International Journal of Quality and Reliability Management, Vol. 5 No. 4, pp. 65-77. https://doi.org/10.1108/eb002914 [7] Broz, D., Vanzetti, N., Corsano, G. and Montagna, J.M. (2019) Goal programming application for the decision support in the daily production planning of sawmills, Forest Policy Econ. 102, 29–40 [8] Aliasghari, P., Mohammadi-Ivatloo, B., Abapour, M., Ahmadian, A., and Elkamel, A. (2020). Goal Programming Application for Contract Pricing of Electric Vehicle Aggregator in Join Day-Ahead Market, Energies 13, 1771. https://doi.org/10.3390/en13071771 [9] Malik, Z.A., Kumar, R., Pathak, G. and Roy, H.. (2022). Application of Goal Programming in the Textile Apparel Industry to Resolve Production Planning Problems - a Meta-goal Programming Technique Using Weights. Operations Research and Decisions. 32. 10.37190/ord220205. [10] Amin, G.R., Al-Muharrami, S. and Toloo, M. (2019) Combined goal programming and inverse DEA method for target setting in mergers, Expert Syst. Appl. 115, 412–417 [11] Tarantilis C.D., Ioannou G., Kiranoudis C.T. and Prastacos G.P. (2005). Solving the open vehicle routeing problem via a single parameter metaheuristic algorithm, Journal of the Operational Research Society 56 (5), 588-592 [12] Mbachu, V.M., Ovuworie, G.C., Okwu, M.O., and Tartibu, L.K. (2021) Modelling sustainability of a demand-based biomass to biogas conversion system: a bio-mimicry feedstock inventory-based approach. Biomass Conversion and Biorefinery https://doi.org/10.1007/s13399-021-01581-z Downloads PDF Published 2024-08-15 How to Cite Mbachu, V., Okeke, O. R., Chinweze, A. E., & Akintona, E. O. (2024). Diagnostic Analysis of Operations in a Manufacturing System Using Goal Programming Model. International Research Journal of Scientific Studies, 1(1), 32–41. https://doi.org/10.64383/irjss.AUG240806 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 1 No. 1 (2024): August Section Research Papers Categories Mechanical Engineering Production Engineering License Copyright (c) 2024 International Research Journal of Scientific Studies This work is licensed under a Creative Commons Attribution 4.0 International License. International Research Journal of Scientific Studies is an open-access journal that publishes articles under a Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows for the widest possible dissemination and use of the articles, while ensuring that the authors receive proper credit for their work. Article Licensing 1. Copyright: After publication of article, Authors automatically grant copyright to International Research Journal of Scientific Studies to publish and distribute their work under the CC BY 4.0 license. 2. Attribution: Articles can be shared, adapted, and built upon, provided that the original work is properly cited. The citation must include the article's title, author(s), journal title, volume, issue, pages, and DOI (if applicable). 3. Reuse: Articles can be reused for non-commercial purposes, such as education, research, and personal use. This includes, but is not limited to, sharing articles on social media, academic networks, and personal websites. Permitted Uses 1. Sharing: Articles can be shared in digital or print format, provided that the original work is properly cited. 2. Adaptation: Articles can be adapted for use in lectures, presentations, and other educational materials, provided that the original work is properly cited. 3. Derivative Works: Articles can be used to create derivative works, such as translations, summaries, and reviews, provided that the original work is properly cited. 4. Text and Data Mining: Articles can be used for text and data mining purposes, provided that the original work is properly cited. Restrictions 1. Commercial Use: Articles cannot be used for commercial purposes, such as selling or licensing the content, without the prior consent of the author(s) and International Research Journal of Scientific Studies. 2. Modification: Articles cannot be modified in a way that misrepresents the original work or its authors. 3. Removal of DOI: The DOI (Digital Object Identifier) assigned to the article cannot be removed or altered. Author Responsibilities 1. Originality: Authors must ensure that their work is original and does not infringe on the copyright or other rights of third parties. 2. Permissions: Authors must obtain the necessary permissions and licenses to use any copyrighted materials, such as images, tables, or figures, in their articles. 3. Disclosure: Authors must disclose any conflicts of interest, funding sources, or other relevant information that may impact the interpretation of their work. Journal Responsibilities 1. Publication: International Research Journal of Scientific Studies will publish the articles in electronic format on its website and other platforms. 2. Indexing: International Research Journal of Scientific Studies will index the articles in relevant databases and repositories to ensure their discoverability and accessibility. 3. Archiving: International Research Journal of Scientific Studies will archive the articles in a secure and permanent repository to ensure their long-term preservation and availability. By submitting an article to International Research Journal of Scientific Studies, authors agree to these licensing terms and grant International Research Journal of Scientific Studies the right to publish and distribute their work under the CC BY 4.0 license.