IDEAS home Printed from https://ideas.repec.org/p/amj/wpaper/23004.html
   My bibliography  Save this paper

A multiproduct gasoline supply chain with product standardization and postponement strategy

Author

Listed:
  • Rafael Bernardo Carmona Benitez

    (Universidad Anahuac Mexico (Mexico))

  • Hector Cruz

    (Universidad Anahuac Mexico (Mexico))

Abstract

The development of the global economy is highly dependent on energy (Chen & Wu, 2017). The energy sector is formed by the fossil fuel industries, the electric power industry, the nuclear power industry, and the renewable energy industry. The oil industry is one of the fossil fuel industries with fast growth, 40.5% from 1980 to 2016 (OPEC, 2017). This growth is due to the globalisation of the oil industry (Sahebi, Nickel, & Ashayeri, 2014) that has generated millions of jobs, developed infrastructure, and enhanced economies through a global supply chain. Hence, the study of oil supply chain and its derivatives is of the great importance for the development of the economy of any country in the world, and its study is a main interest for oil companies that must develop strategies to achieve advantages against their competitors (Sahebi, Nickel, & Ashayeri, 2014) mainly by developing supply chain strategies to maximize efficiencies (Chima, 2007) and minimize the costs of production and supply of finished products to consumers (Lisita, Levina, & Lepekhin, 2019). Knowing the importance of the energy sector to the economy, in 2013, Mexico enacted an energy constitutional reform that changes, between other things, the supply chain of gasoline obligating Pemex (Mexican state-owned company) to share its pipelines and storage terminals (located at ports, refineries and/or distribution centers) with other oil companies. The main goal of the supply chain of gasoline proposed in the reform is to lower gasoline prices to consumers by enhancing competition and finishing Pemex monopoly. However, in this paper, we analyze the viability of the supply chain of gasoline proposed in this reform, and we find that a supply chain problem is created when multiple oil companies share pipelines and storage terminals to simultaneously distribute different types of gasoline as the reform dictates, because costs increase due to the production of interfaces created each time two different types of gasoline are sequentially shipped through the same pipeline (Fig 1) (an interface is a blend of gasoline called “transmix gasoline†or “mid-grade gasoline" produced and distributed, at the end of each batch, through the same pipeline because of the consecutive distribution of gasoline in a process called batching (Wang et al., 2008)). Therefore, the aim and main contribution of this paper is to design and optimize a supply chain of gasoline that allows multiple oil companies share pipelines and storage terminals to simultaneously distribute different types of gasoline at minimum cost.

Suggested Citation

  • Rafael Bernardo Carmona Benitez & Hector Cruz, 2023. "A multiproduct gasoline supply chain with product standardization and postponement strategy," Papers 23004, Working Papers of Business and Economics School. Anahuac University (Mexico)..
  • Handle: RePEc:amj:wpaper:23004
    as

    Download full text from publisher

    File URL: https://revistas.anahuac.mx/public/REPEC/amj/wpaper/2023/Working_paper-A_multiproduct_gasoline_supply_chain_23004.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Zheng, Xiao-Xue & Li, Deng-Feng & Liu, Zhi & Jia, Fu & Lev, Benjamin, 2021. "Willingness-to-cede behaviour in sustainable supply chain coordination," International Journal of Production Economics, Elsevier, vol. 240(C).
    2. Aizemberg, Luiz & Kramer, Hugo Harry & Pessoa, Artur Alves & Uchoa, Eduardo, 2014. "Formulations for a problem of petroleum transportation," European Journal of Operational Research, Elsevier, vol. 237(1), pages 82-90.
    3. Jabbarzadeh, Armin & Haughton, Michael & Pourmehdi, Fahime, 2019. "A robust optimization model for efficient and green supply chain planning with postponement strategy," International Journal of Production Economics, Elsevier, vol. 214(C), pages 266-283.
    4. Mitchell, John E., 1997. "Fixing variables and generating classical cutting planes when using an interior point branch and cut method to solve integer programming problems," European Journal of Operational Research, Elsevier, vol. 97(1), pages 139-148, February.
    5. Chryssolouris, George & Papakostas, Nikolaos & Mourtzis, Dimitris, 2005. "Refinery short-term scheduling with tank farm, inventory and distillation management: An integrated simulation-based approach," European Journal of Operational Research, Elsevier, vol. 166(3), pages 812-827, November.
    6. Taylor Randall & Karl Ulrich, 2001. "Product Variety, Supply Chain Structure, and Firm Performance: Analysis of the U.S. Bicycle Industry," Management Science, INFORMS, vol. 47(12), pages 1588-1604, December.
    7. Baskoro, Firly Rachmaditya & Takahashi, Katsuhiko & Morikawa, Katsumi & Nagasawa, Keisuke, 2022. "Multi-objective optimization on total cost and carbon dioxide emission of coal supply for coal-fired power plants in Indonesia," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    8. Ulstein, Nina Linn & Nygreen, Bjorn & Sagli, Jan Richard, 2007. "Tactical planning of offshore petroleum production," European Journal of Operational Research, Elsevier, vol. 176(1), pages 550-564, January.
    9. Moradi Nasab, N. & Amin-Naseri, M.R., 2016. "Designing an integrated model for a multi-period, multi-echelon and multi-product petroleum supply chain," Energy, Elsevier, vol. 114(C), pages 708-733.
    10. Bjørn Nygreen & Marielle Christiansen & Kjetil Haugen & Thor Bjørkvoll & Øystein Kristiansen, 1998. "Modeling Norwegian petroleum productionand transportation," Annals of Operations Research, Springer, vol. 82(0), pages 251-268, August.
    11. Basu R, Jothi & Abdulrahman, Muhammad D. & Yuvaraj, M., 2023. "Improving agility and resilience of automotive spares supply chain: The additive manufacturing enabled truck model," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    12. T. C. Edwin Cheng & Jian Li & C. L. Johnny Wan & Shouyang Wang, 2010. "Postponement Strategies in Supply Chain Management," International Series in Operations Research and Management Science, Springer, edition 0, number 978-1-4419-5837-2, July-Dece.
    13. Arab Momeni, Mojtaba & Bagheri, Mehdi, 2022. "Shared warehouse as an inter-supply chain cooperation strategy to reduce the time-dependent deterioration costs," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    14. Um, Juneho & Lyons, Andrew & Lam, Hugo K.S. & Cheng, T.C.E. & Dominguez-Pery, Carine, 2017. "Product variety management and supply chain performance: A capability perspective on their relationships and competitiveness implications," International Journal of Production Economics, Elsevier, vol. 187(C), pages 15-26.
    15. Chen, G.Q. & Wu, X.F., 2017. "Energy overview for globalized world economy: Source, supply chain and sink," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 735-749.
    16. Kazemi, Yasaman & Szmerekovsky, Joseph, 2015. "Modeling downstream petroleum supply chain: The importance of multi-mode transportation to strategic planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 111-125.
    17. Ahmad, Firoz & Alnowibet, Khalid A. & Alrasheedi, Adel F. & Adhami, Ahmad Yusuf, 2022. "A multi-objective model for optimizing the socio-economic performance of a pharmaceutical supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    18. Li, Suhong & Ragu-Nathan, Bhanu & Ragu-Nathan, T.S. & Subba Rao, S., 2006. "The impact of supply chain management practices on competitive advantage and organizational performance," Omega, Elsevier, vol. 34(2), pages 107-124, April.
    19. J. S. Aronofsky & A. C. Williams, 1962. "The Use of Linear Programming and Mathematical Models in Under-Ground Oil Production," Management Science, INFORMS, vol. 8(4), pages 394-407, July.
    20. Clavijo-Buritica, Nicolás & Triana-Sanchez, Laura & Escobar, John Willmer, 2023. "A hybrid modeling approach for resilient agri-supply network design in emerging countries: Colombian coffee supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Farahani, Mohsen & Rahmani, Donya, 2017. "Production and distribution planning in petroleum supply chains regarding the impacts of gas injection and swap," Energy, Elsevier, vol. 141(C), pages 991-1003.
    2. Son, Byung-Gak & Sodhi, ManMohan & Kocabasoglu-Hillmer, Canan & Lee, Tae-Hee, 2016. "Supply chain information in analyst reports on publicly traded companies," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 350-360.
    3. Pudasaini, Pramesh, 2021. "Integrated planning of downstream petroleum supply chain: a multi-objective stochastic approach," Operations Research Perspectives, Elsevier, vol. 8(C).
    4. Kazemi, Yasaman & Szmerekovsky, Joseph, 2015. "Modeling downstream petroleum supply chain: The importance of multi-mode transportation to strategic planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 111-125.
    5. Lyons, Andrew Charles & Um, Juneho & Sharifi, Hossein, 2020. "Product variety, customisation and business process performance: A mixed-methods approach to understanding their relationships," International Journal of Production Economics, Elsevier, vol. 221(C).
    6. Jafarian, Ahmad & Rabiee, Meysam & Tavana, Madjid, 2020. "A novel multi-objective co-evolutionary approach for supply chain gap analysis with consideration of uncertainties," International Journal of Production Economics, Elsevier, vol. 228(C).
    7. Kumar, Sourabh & Barua, Mukesh Kumar, 2022. "A modeling framework and analysis of challenges faced by the Indian petroleum supply chain," Energy, Elsevier, vol. 239(PE).
    8. Sener, Abdurrezzak & Barut, Mehmet & Oztekin, Asil & Avcilar, Mutlu Yuksel & Yildirim, Mehmet Bayram, 2019. "The role of information usage in a retail supply chain: A causal data mining and analytical modeling approach," Journal of Business Research, Elsevier, vol. 99(C), pages 87-104.
    9. Abdurrezzak Sener & Mehmet Barut & Ali Dag & Mehmet Bayram Yildirim, 2021. "Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach," Annals of Operations Research, Springer, vol. 303(1), pages 125-158, August.
    10. Wang, Shuang & Wallace, Stein W. & Lu, Jing & Gu, Yewen, 2020. "Handling financial risks in crude oil imports: Taking into account crude oil prices as well as country and transportation risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    11. Jabbarzadeh, Armin & Haughton, Michael & Pourmehdi, Fahime, 2019. "A robust optimization model for efficient and green supply chain planning with postponement strategy," International Journal of Production Economics, Elsevier, vol. 214(C), pages 266-283.
    12. de Assis, Leonardo Salsano & Camponogara, Eduardo, 2016. "A MILP model for planning the trips of dynamic positioned tankers with variable travel time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 372-388.
    13. Sylvia Mardiana, 2023. "Gasoline Policy Simulation to Increase Responsiveness Using System Dynamics: A Case Study of Indonesia’s Gasoline Downstream Supply Chain," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 109-118, November.
    14. Martinho, Vítor João Pereira Domingues, 2021. "Direct and indirect energy consumption in farming: Impacts from fertilizer use," Energy, Elsevier, vol. 236(C).
    15. Zheng, Shuxian & Zhou, Xuanru & Tan, Zhanglu & Liu, Chan & Hu, Han & Yuan, Hui & Peng, Shengnan & Cai, Xiaomei, 2023. "Assessment of the global energy transition: Based on trade embodied energy analysis," Energy, Elsevier, vol. 273(C).
    16. Pietro Cunha Dolci & Antonio Carlos Gastaud Maçada, 2014. "Information technology investments and supply chain governance," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 18(2), pages 217-235.
    17. Xiaowei Hu & Jaejin Jang & Nabeel Hamoud & Amirsaman Bajgiran, 2021. "Strategic Inventories in a Supply Chain with Downstream Cournot Duopoly," Papers 2109.06995, arXiv.org, revised Jan 2022.
    18. Xuan Chen & Simin Huang & Dejing Chen & Zhihai Zhang & Li Zheng & Ignacio Grossmann & Shihui Chen, 2014. "Hierarchical Decomposition Approach for Crude Oil Scheduling: A SINOPEC Case," Interfaces, INFORMS, vol. 44(3), pages 269-285, June.
    19. Samir K. Srivastava, 2006. "Logistics and Supply Chain Practices in India," Vision, , vol. 10(3), pages 69-79, July.
    20. Kumar, V.N.S.A. & Kumar, V. & Brady, M. & Garza-Reyes, Jose Arturo & Simpson, M., 2017. "Resolving forward-reverse logistics multi-period model using evolutionary algorithms," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 458-469.

    More about this item

    Keywords

    gasoline; supply chain;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:amj:wpaper:23004. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Agustin Moya (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.