NAVIGATING UNCERTAINTIES IN THE PETROLEUM INDUSTRY: A MULTI-CRITERIA DECISION MAKING AND FORECASTING APPROACH FOR SUSTAINABLE PRODUCTION
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
Abstract
From 2019-2020, COVID-19 caused an uncertain situation in the petroleum industry that led to an imbalance in supply and demand and requires resilient solutions for the Pakistani industry’s sustainability. The current research seeks to find these solutions in two stages, i.e., decision-modeling and forecasting-modeling. In the first step, a Multi-Criteria Decision Making (MCDM) method called the Analytical Hierarchy Process (AHP) was applied to rank the most preferred product in Pakistan’s petroleum industry and concluded that Premium Motor Gasoline (PMG) of Attock Refinery Limited (ARL) is the most preferred alternative. This alternative was further confirmed by a sensitivity analysis, which proved the robustness of the results. Similarly, in the second step, the research analyzed PMG production and pricing effects on Attock Refinery Limited (ARL) sales using Multi Linear Regression (MLR), and found that production significantly boosts sales while price has minimal impact. Forecasting techniques, particularly ARIMA, effectively predicted petroleum demand, even reflecting COVID-19 disruptions. The research highlights the need for optimized PMG production and robust forecasting to ensure industry stability in Pakistan. Similarly, the research also leads to various policy formulations and will allow refineries to tackle uncertainties in the future. It provides an in-depth study of petroleum products that are preferred and in high demand so that the refineries can automate their production plans and schedule accordingly, to help maintain their sustainability.
How to Cite
Downloads
##plugins.themes.bootstrap3.article.details##
Petroleum, AHP, ARIMA, PMG, ARL, Refineries, Pakistan
Ahmad, A. & Jha, M. K., (2008). Status of petroleum sector in Pakistan-a review. Journal of Information Communication Technologies and Robotic Applications, 1(1), 1–10.
Ahmad, S., Maqbool, I., Raihan, A. & Xin, L. (2024). Analyzing the dynamics of import demand function in Pakistan: Long-term and short-term relationships with key economic factors. Asian Journal of Economics and Empirical Research, 11(2), 50–59. https://doi.org/10.20448/ajeer.v11i2.5959
Akram, Q. F. (2020). Oil price drivers, geopolitical uncertainty and oil exporters’ currencies. Energy Economics, 89, 104801. https://doi.org/10.1016/j.eneco.2020.104801
Albulescu, C., 2020. Coronavirus and oil price crash. Available at SSRN 3553452.
Ali, Y. Mehmood, B., Huzaifa, M., Yasir, U., Khan, A.U. (2020). Development of a new hybrid multi criteria decision-making method for a car selection scenario. Facta Universitatis, Series: Mechanical Engineering, 18(3), 357-373. https://doi.org/10.22190/FUME200305031A.
Attock Refinery Limited (ARL). (2024). Specifications. https://www.arl.com.pk/specifications/.
Aydin, N., Seker, S. & Şen, C. (2022). A new risk assessment framework for safety in oil and gas industry: Application of FMEA and BWM based picture fuzzy MABAC. Journal of Petroleum Science and Engineering, 219, 111059. https://doi.org/10.1016/j.petrol.2022.111059
Benk, S. & Gillman, M. (2020). Granger predictability of oil prices after the Great Recession. Journal of International Money and Finance, 101, 102100.
Bennett, E.A. & Grabs, J. (2025). How can sustainable business models distribute value more equitably in global value chains? Introducing “value chain profit sharing” as an emerging alternative to fair trade, direct trade, or solidarity trade. Business Ethics, the Environment & Responsibility, 34(2), 581–601. https://doi.org/10.1111/beer.12666
Bhadra, D., Dhar, N.R. & Abdus Salam, M. (2022). Sensitivity analysis of the integrated AHP-TOPSIS and CRITIC-TOPSIS method for selection of the natural fiber. Materials Today: Proceedings, 56, 2618–2629. https://doi.org/10.1016/j.matpr.2021.09.178
Box, G. E., Jenkins, G. M. & Reinsel, G. C. (1976). Time series analysis: forecasting and control (Vol. 734). John Wiley & Sons.
British Petroleum (BP). (2025). Full-year and 4Q 2024 results: Laying the foundations for growth. London: British Petroleum.
Buran, B. & Erçek, M. (2022). Public transportation business model evaluation with spherical and intuitionistic Fuzzy AHP and sensitivity analysis. Expert Systems with Applications, 204, 117519. https://doi.org/10.1016/j.eswa.2022.117519
Caldara, D. & Iacoviello, M. (2022). Measuring geopolitical risk. American Economic Review, 112(4), 1194–1225 https://doi.org/10.1257/aer.20191823
Carr, R., England, J., Hardin, K. & Mittal, A. (2024). 2025 Oil and gas industry outlook. Helsinki: Deloitte Research Center for Energy & Industrials.
Chase Securities. (2023). Attock Refinery Limited (ATRL). Karachi: Chase Securities.
Chaube, S., Kumar, A., Kumar Singh, M. & Kotecha, K. (2024). An overview of multi-criteria decision analysis and the applications of AHP and TOPSIS methods. International Journal of Mathematical, Engineering and Management Sciences, 9(3), 581–615. https://doi.org/10.33889/IJMEMS.2024.9.3.030
Chughtai, Arashd, A., Uqaili, Mohammad Aslam, Mirjat, Nayyar Hussain, Sheikh, Faheem Ullah, Gulzar, Muhammad Majid, Habib, Salman, AboRas, Kareem M., Fendzi Mbasso, & Wulfran. (2024). Demand side management through energy efficiency measures for the sustainable energy future of Pakistan. Heliyon, 10(15), e34798. https://doi.org/10.1016/j.heliyon.2024.e34798
Cui, Z., Taiwo, O.L. & Aaron, P.M. (2024). An application of AHP and fuzzy entropy-TOPSIS methods to optimize upstream petroleum investment in representative African basins. Scientific Reports, 14(1), 6956. https://doi.org/10.1038/s41598-024-57445-9
Dagar, V. & Malik, S. (2023). Nexus between macroeconomic uncertainty, oil prices, and exports: evidence from quantile-on-quantile regression approach. Environmental Science and Pollution Research, 30(16), 48363–48374. https://doi.org/10.1007/s11356-023-25574-9
Diaz, E.M., Cunado, J. & De Gracia, F.P. (2024). Global drivers of inflation: The role of supply chain disruptions and commodity price shocks. Economic Modelling, 140, 106860. https://doi.org/10.1016/j.econmod.2024.106860
Do, Q.H., Tran, V.T. & Tran, T.T. (2024). Evaluating lecturer performance in Vietnam: An application of fuzzy AHP and fuzzy TOPSIS methods. Heliyon, 10(11), e30772. https://doi.org/10.1016/j.heliyon.2024.e30772
Dogan, O. (2021). Process mining technology selection with spherical fuzzy AHP and sensitivity analysis. Expert Systems with Applications, 178, 114999. https://doi.org/10.1016/j.eswa.2021.114999
Dong, X., Dang, B., Xang, H., Li, S., & Ma, D. (2024). The prediction trend of enterprise financial risk based on machine learning arima model. Journal of Theory and Practice of Engineering Science, 4(1), 65-71
Dutta, P. & Deka, S. (2024). A novel approach to flood risk assessment: Synergizing with geospatial based MCDM-AHP model, multicollinearity, and sensitivity analysis in the Lower Brahmaputra Floodplain, Assam. Journal of Cleaner Production, 467, 142985. https://doi.org/10.1016/j.jclepro.2024.142985
Ederington, L.H., Fernando, C., Hoelssher, S., Lee, T. & Linn, S. (2019). Characteristics of petroleum product prices: A survey. Journal of Commodity Markets, 14, 1–15. https://doi.org/10.1016/j.jcomm.2018.09.001
Energy Information Administration (EIA). 2025. Pakistan crude oil production. Washington, DC: U.S. Department of Energy. https://www.eia.gov/international/analysis/country/PAK.
Enerdata. 2024. Pakistan energy information. Lorraine, France: Enerdata. https://www.enerdata.net/estore/energy-market/pakistan.html.
Filippidis, M., Filis, G. & Kizys, R. (2020). Oil price shocks and EMU sovereign yield spreads. Energy Economics, 86, 104656
Gamso, J., Inkpen, A. & Ramaswamy, K. (2024). Managing geopolitical risks: the global oil and gas industry plays a winning game. Journal of Business Strategy, 45(3), 190–198. https://doi.org/10.1108/JBS-04-2023-0081
Gandomi, S., Barzegar, M., Zolghadri, S. & Rahimpour, M. R. (2024). The future of fossil fuels supply and impacts on sustainability. Amsterdam: Elsevier
Grošelj, P., Zandebasiri, M. and Pezdevšek Malovrh, Š. (2023). Evaluation of the European experts on the application of the AHP method in sustainable forest management. Environment, Development and Sustainability, 26(11), 29189–29215.: https://doi.org/10.1007/s10668-023-03859-w
Hamasha, M., Shawaheen, G. and Mayyas, A. (2024). Exploring the shift in symmetry phenomenon in exponentially weighted moving average quality charts for statistics derived from beta distribution. Statistics, Optimization & Information Computing, 13(4), 1388–1403. Available at: https://doi.org/10.19139/soic-2310-5070-2128
Imran Rafiq, M. (2024). A deepening political crisis, military involvement and economic woes: Evidence from Pakistan. Journal of Asian and African Studies, 00219096241230496. https://doi.org/10.1177/00219096241230496
Kelkar, M. (2024). Demise of fossil fuels part I: Supply and demand. Heliyon, 10(20), 1–11.
Khaira, A. & Dwivedi, R. K. (2018). A state of the art review of analytical hierarchy process. Materials Today: Proceedings, 5(2), 4029–4035.
Khan, A., Shi, C. & Ali, F. (2024). An integrated approach to strengthening maritime security: a case study of Gwadar Port of Pakistan. Marine Development, 2(1), 14. https://doi.org/10.1007/s44312-024-00027-0
Khan, A.U. & Ali, Y. (2020). Analytical Hierarchy Process (AHP) and Analytic Network Process methods and their applications: A twenty year review from 2000–2019. International Journal of the Analytic Hierarchy Process, 12(3), 369–459. https://doi.org/10.13033/ijahp.v12i3.822
Khan, M.I., Teng, J.Z., Khan, M.K., Jadoon, A.U., Fayaz Khan, M. (2021). The impact of oil prices on stock market development in Pakistan: Evidence with a novel dynamic simulated ARDL approach. Resources Policy, 70, 101899. https://doi.org/10.1016/j.resourpol.2020.101899
Khan, N., Fahad, S., Naushad, M. & Faisal, S. (2020). COVID-2019 locked down effects on oil prices and its effects on the world economy. SSRN 3588810
Khan, M., Fahad, S., Khan, M.N., & Faisal, S. (2025). Comparative study of phyco-remediation through micro alga for refinery wastewater treatment. Pakistan Journal of Botany, 57(1), 391–401. https://doi.org/10.30848/PJB2025-1(28)
Kiley, M.T. (2025). Monetary policy strategy and the anchoring of long-run inflation expectations. Finance and Economics Discussion Series, (2025–027). Washington, D.C.: Board of Governors of the Federal Reserve System. https://doi.org/10.17016/FEDS.2025.027
Mahmood, A. (2023). Revisiting Pakistan’s energy crisis and CPEC power projects. Journal of Professional Research in Social Sciences, 10(2), 1–23. https://doi.org/10.58932/MULA0009
Maliszewska, M., Mattoo, A. & Van Der Mensbrugghe, D. (2020). The potential impact of COVID-19 on GDP and trade: A preliminary assessment. World Bank Group.
Memon, A. R. (2018). Status of petroleum sector in Pakistan-a review. Journal of Information Communication Technologies and Robotic Applications, 2(1), 1–10.
Mohammad, S.I.S., Al-Daoud, K.I., Al Oraini, B.S., Alqahtani, M.M., Vasudevan, A., Ali, I. (2025). Impact of crude oil price volatility on procurement and inventory strategies in the Middle East. International Journal of Energy Economics and Policy, 15(2), 715–727. https://doi.org/10.32479/ijeep.18950
Nadeem, R., Singh, R., Patidar, A., Yusliza, M.Y., Ramayah, T., Azmi, F.T. (2025). Prioritizing determinants of employees’ green behavior in the Indian hotel industry: an analytic hierarchy process (AHP) and fuzzy AHP approach. Journal of Hospitality and Tourism Insights [Preprint]. https://doi.org/10.1108/JHTI-07-2024-0737
Nazir, S., Ali, M., Saeed, M., Mubarak, M.S. & Jalil, Q. (2024). Sustainable performance and disaster management in the oil and gas industry: An intellectual capital perspective. Resources Policy, 92, 105042. https://doi.org/10.1016/j.resourpol.2024.105042
Ni, H., Meng, S., Geng, X., Li, P., Li, Z., Chen, X., Wang, X. & Zhang, S. (2024). Time series modeling for heart rate prediction: From ARIMA to transformers. 6th International Conference on Electronic Engineering and Informatics (EEI). Chongqing, China, 584–589. https://doi.org/10.1109/EEI63073.2024.10695966
Ozkan, O, Salim, A., Khan, N. & Adewale Alola, A. (2024). Global impact of geopolitical oil price uncertainty and associated commodity prices on clean energy stocks. Energy & Environment, 0958305X231225303. https://doi.org/10.1177/0958305X231225303
Pan, J., Cifuentes-Faura, J., Zhao, X. & Liu, X. (2024). Unlocking the impact of digital technology progress and entry dynamics on firm’s total factor productivity in Chinese industries. Global Finance Journal, 60, 100957. https://doi.org/10.1016/j.gfj.2024.100957
Patankar, N.A., Lin, J. & Patankar, T.N. (2021). Mileage efficiency of cars. Cleaner Engineering and Technology, 4, 100240. https://doi.org/10.1016/j.clet.2021.100240
Pakistan Petroleum Limited (PPL). (2020). Overview. [Online] Available at: https://www.ppl.com.pk/content/corporate-profile-overview [Accessed July 2, 2020].
Profit Report. (2025, January 6). Pakistan’s oil consumption rises 3% in December 2024. https://profit.pakistantoday.com.pk/2025/01/06/pakistans-oil-consumption-rises-3-in-december-2024/
Rao, A., Tedeschi, M., Mohammed, K., & Shazad, U. (2024). Role of economic policy uncertainty in energy commodities prices forecasting: Evidence from a hybrid deep learning approach. Computational Economics, 64(6), 3295–3315. https://doi.org/10.1007/s10614-024-10550-3
Raza, M.Y. & Lin, B. (2024). Energy substitution possibilities and technological progress in Pakistan’s industrial sector. Applied Energy, 376, 124300. https://doi.org/10.1016/j.apenergy.2024.124300
Rehman, S. A. U., Cai, Yanpeng, Mirjat, Nayyar Hussain, Walasai, Gordhan Das, Nafees, & Mohammad. (2019). Energy-environment-economy nexus in Pakistan: Lessons from a PAK-TIMES model. Energy Policy, 126, 200–211.
Roy, M.-A. & Abdul-Nour, G. (2024). Integrating modular design concepts for enhanced efficiency in digital and sustainable manufacturing: A literature review. Applied Sciences, 14(11), 4539. https://doi.org/10.3390/app14114539
Ruble, I. (2019). The US crude oil refining industry: Recent developments, upcoming challenges and prospects for exports. The Journal of Economic Asymmetries, 20, e00132.
Saaty, T. L. (2004). Decision making—the analytic hierarchy and network processes (AHP/ANP). Journal of Systems Science and Systems Engineering, 13(1), 1–35.
Saaty, T. (1980). The Analytic Hierarchy Process. NewYork: McGraw-Hill.
Saputra, D. & Hariyana, N. 2024. Comparison of double exponential smoothing method with weighted moving average in forecasting UD sales. Setya Abadi D. M as Financial Literacy. Journal of Entrepreneurial and Business Diversity, 2(1), 176–185.
Schmidt, K., Aumann, I., Hollander, I., Damm, K. & Graf von der Schulenberg, JM. (2015). Applying the Analytic Hierarchy Process in healthcare research: A systematic literature review and evaluation of reporting. BMC Medical Informatics and Decision Making, 15(1), 112. https://doi.org/10.1186/s12911-015-0234-7
Shi, Y., Yang, S., Zhang, L., Chen, W., Fan, Y., Lu, L., Chen, H. & Zhang C. (2024). Forecasting and advancing water carrying capacity in Henan Province in China: Application of “four determinations with water” in AHP and SD modeling. Science of the Total Environment, 919, 170757. https://doi.org/10.1016/j.scitotenv.2024.170757
Simonsky, A. (2025, January 17). Petrobas boasts new refinery production records. Energy Analytics Insitute (EAI). https://energy-analytics-institute.org/2025/01/17/petrobras-boasts-new-refinery-production-records/?utm
Suryadana, K. & Sarasvananda, I.B.G. (2024). Streamlining inventory forecasting with weighted moving average method at Parta trading companies. Jurnal Galaksi, 1(1), 12–21. https://doi.org/10.70103/galaksi.v1i1.2
Tavella, R.A., da Silva Junior, F.M.R., Almeida Santos, M., El Khouri Miraglia, S.G., & Pereira Filho, R.D. (2025). A review of air pollution from petroleum refining and petrochemical industrial complexes: Sources, key pollutants, health impacts, and challenges. ChemEngineering, 9(1), 13. https://doi.org/10.3390/chemengineering9010013
Toshaliyeva, S. (2024). Using the Arima model to forecast the share of railways in the industry. E3S Web of Conferences, 531, 02024. https://doi.org/10.1051/e3sconf/202453102024
Vásquez, J.A., Escobar, J.W. and Manotas, D.F. (2021). AHP–TOPSIS methodology for stock portfolio investments. Risks, 10(1), 4. https://doi.org/10.3390/risks10010004
Younis, I. et al. (2024). The effects of economic uncertainty and trade policy uncertainty on industry-specific stock markets equity. Computational Economics, 64(5), 2909–2933. https://doi.org/10.1007/s10614-024-10552-1
Yousaf, S., Ali, Y., Sabir, M. & Masood, M. T. (2017). Production planning of Pakistan Tobacco Company (PTC) using quantitative and multiple‐criteria decision analysis—A case in‐point. Journal of Multi‐Criteria Decision Analysis, 24(5-6), 239–256.
Zaidi, S. N. A. Brohi, I.A., Ramzan, K., Ahmed, N., Mehmood, F. & Brohi, A. U. (2013). Distribution and hydrocarbon potential of Datta Sands in Upper Indus Basin, Pakistan. Sindh University Research Journal), 45(2), 325–332.
Copyright of all articles published in IJAHP is transferred to Creative Decisions Foundation (CDF). However, the author(s) reserve the following:
- All proprietary rights other than copyright, such as patent rights.
- The right to grant or refuse permission to third parties to republish all or part of the article or translations thereof. In case of whole articles, such third parties must obtain permission from CDF as well. However, CDF may grant rights with respect to journal issues as a whole.
- The right to use all or parts of this article in future works of their own, such as lectures, press releases, reviews, textbooks, or reprint books.
- The authors affirm that the article has been neither copyrighted nor published, that it is not being submitted for publication elsewhere, and that if the work is officially sponsored, it has been released for open publication.
The only exception to the statements in the paragraph above is the following: If an article published in IJAHP contains copyrighted material, such as a teaching case, as an appendix, then the copyright (and all commercial rights) of such material remains with the original copyright holder.
CDF will receive permission for publication of copyrighted material in IJAHP. This permission is not transferable to third parties. Permission to make electronic and paper copies of part or all of the articles, including all computer files that are linked to the articles, for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage.
This permission does not apply to previously copyrighted material, such as teaching cases. In paper copies of the article, the copyright notice and the title of the publication and its date should be visible. To copy otherwise is permitted provided that a per-copy fee is paid.
To republish, to post on servers, or redistribute to lists requires that you post a link to the IJAHP article, which is available in open access delivery mode. Do not upload the article itself.
Authors are permitted to present a talk, based on a paper submitted to or accepted by IJAHP, at a conference where the paper would not be published in a copyrighted publication either before or after the conference and where the author did not assign copyright to the conference or related publisher.