IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3436-d1067157.html
   My bibliography  Save this article

Sustainable Economic Production Quantity Model Considering Greenhouse Gas and Wastewater Emissions

Author

Listed:
  • Yann Mey Yee

    (Department of Industrial and Systems Engineering, Chung Yuan Christian University, Zhongli, Taoyuan 32023, Taiwan)

  • Lilian Sy

    (School of Industrial Engineering and Engineering Management, Mapúa University, Manila 1002, Philippines)

  • Kryzia Lomibao

    (School of Industrial Engineering and Engineering Management, Mapúa University, Manila 1002, Philippines)

  • Josephine Dela Cruz German

    (School of Industrial Engineering and Engineering Management, Mapúa University, Manila 1002, Philippines)

  • Hui-Ming Wee

    (Department of Industrial and Systems Engineering, Chung Yuan Christian University, Zhongli, Taoyuan 32023, Taiwan)

Abstract

Pursuing sustainability in the production inventory model has motivated researchers to reconsider carbon emission costs. In this study, we develop an economic production quantity (EPQ) inventory model to consider greenhouse gas and wastewater emission costs. This study aims to optimize the production quantity, the total costs per production cycle, and the waste emissions. To validate and test the model, data from a pulp and paper mill industry was used. The effectiveness of the model was determined by comparing the costs generated under three (3) scenarios: (1) an EPQ model that considers the costs of greenhouse gas (GHG) emissions; (2) an EPQ model considering shortages; and (3) a multiproduct EPQ model considering shortages. Our proposed sustainable EPQ models can provide decision-makers with insights to visualize how certain factors affect the manufacturing system. Future research can be conducted to consider the product life cycle as well as deteriorating items.

Suggested Citation

  • Yann Mey Yee & Lilian Sy & Kryzia Lomibao & Josephine Dela Cruz German & Hui-Ming Wee, 2023. "Sustainable Economic Production Quantity Model Considering Greenhouse Gas and Wastewater Emissions," Sustainability, MDPI, vol. 15(4), pages 1-30, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3436-:d:1067157
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3436/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/4/3436/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Turner, David A. & Williams, Ian D. & Kemp, Simon, 2015. "Greenhouse gas emission factors for recycling of source-segregated waste materials," Resources, Conservation & Recycling, Elsevier, vol. 105(PA), pages 186-197.
    2. Hovelaque, Vincent & Bironneau, Laurent, 2015. "The carbon-constrained EOQ model with carbon emission dependent demand," International Journal of Production Economics, Elsevier, vol. 164(C), pages 285-291.
    3. Helin, Kristo & Käki, Anssi & Zakeri, Behnam & Lahdelma, Risto & Syri, Sanna, 2017. "Economic potential of industrial demand side management in pulp and paper industry," Energy, Elsevier, vol. 141(C), pages 1681-1694.
    4. Seyed Mohammad Javad Mirzapour Al-E-Hashem & Yacine Rekik & Ebrahim Mohammadi Hoseinhajlou, 2019. "A hybrid L-shaped method to solve a bi-objective stochastic transshipment-enabled inventory routing problem," Post-Print hal-02312014, HAL.
    5. Wee, Hui-Ming & Huang, Yen-Deng & Wang, Wan-Tsu & Cheng, Yung-Lung, 2014. "An EPQ model with partial backorders considering two backordering costs," Applied Mathematics and Computation, Elsevier, vol. 232(C), pages 898-907.
    6. Wee, Hui-Ming & Wang, Wan-Tsu, 2012. "A supplement to the EPQ with partial backordering and phase-dependent backordering rate," Omega, Elsevier, vol. 40(3), pages 264-266.
    7. Rogers, John Geoffrey & Cooper, Samuel J. & Norman, Jon B., 2018. "Uses of industrial energy benchmarking with reference to the pulp and paper industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 23-37.
    8. Pasandideh, Seyed Hamid Reza & Niaki, Seyed Taghi Akhavan & Nobil, Amir Hossein & Cárdenas-Barrón, Leopoldo Eduardo, 2015. "A multiproduct single machine economic production quantity model for an imperfect production system under warehouse construction cost," International Journal of Production Economics, Elsevier, vol. 169(C), pages 203-214.
    9. Mirzapour Al-e-hashem, Seyed M.J. & Rekik, Yacine & Mohammadi Hoseinhajlou, Ebrahim, 2019. "A hybrid L-shaped method to solve a bi-objective stochastic transshipment-enabled inventory routing problem," International Journal of Production Economics, Elsevier, vol. 209(C), pages 381-398.
    10. Tang, Shaolong & Wang, Wenjie & Cho, Stella & Yan, Hong, 2018. "Reducing emissions in transportation and inventory management: (R, Q) Policy with considerations of carbon reduction," European Journal of Operational Research, Elsevier, vol. 269(1), pages 327-340.
    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. Neves-Moreira, Fábio & Almada-Lobo, Bernardo & Guimarães, Luís & Amorim, Pedro, 2022. "The multi-product inventory-routing problem with pickups and deliveries: Mitigating fluctuating demand via rolling horizon heuristics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    2. Valdes, Javier & Masip Macia, Yunesky & Dorner, Wolfgang & Ramirez Camargo, Luis, 2021. "Unsupervised grouping of industrial electricity demand profiles: Synthetic profiles for demand-side management applications," Energy, Elsevier, vol. 215(PA).
    3. Hossein Salehi & Ata Allah Taleizadeh & Reza Tavakkoli-Moghaddam, 2016. "An EOQ model with random disruption and partial backordering," International Journal of Production Research, Taylor & Francis Journals, vol. 54(9), pages 2600-2609, May.
    4. Rahmati, Reza & Neghabi, Hossein & Bashiri, Mahdi & Salari, Majid, 2023. "Stochastic regional-based profit-maximizing hub location problem: A sustainable overview," Omega, Elsevier, vol. 121(C).
    5. S. Mohammadi & S. Al-E-Hashem & Yacine Rekik, 2020. "An integrated production scheduling and delivery route planning with multi-purpose machines: A case study from a furniture manufacturing company," Post-Print hal-02194222, HAL.
    6. Chenbo Zhu & Juntian Yue & Jing Chen, 2022. "Green Product Development and Order Strategies for Retailers," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    7. Ata Allah Taleizadeh & Leila Aliabadi & Park Thaichon, 2022. "A sustainable inventory system with price-sensitive demand and carbon emissions under partial trade credit and partial backordering," Operational Research, Springer, vol. 22(4), pages 4471-4516, September.
    8. Mohammadi, S. & Al-e-Hashem, S.M.J. Mirzapour & Rekik, Y., 2020. "An integrated production scheduling and delivery route planning with multi-purpose machines: A case study from a furniture manufacturing company," International Journal of Production Economics, Elsevier, vol. 219(C), pages 347-359.
    9. Hang Thi Thanh Vu & Jeonghan Ko, 2023. "Inventory Transshipment Considering Greenhouse Gas Emissions for Sustainable Cross-Filling in Cold Supply Chains," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    10. Chenglin Hu & Junsong Bian & Kin-Keung Lai, 2023. "Joint Optimal Production Planning in Supply Chains under Diverse Low-Carbon Policies," Mathematics, MDPI, vol. 11(15), pages 1-22, August.
    11. Mukunda Choudhury & Sujit Kumar De & Gour Chandra Mahata, 2023. "A pollution-sensitive multistage production-inventory model for deteriorating items considering expiration date under Stackelberg game approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11847-11884, October.
    12. Juanjuan Qin & Liguo Ren & Liangjie Xia, 2017. "Carbon Emission Reduction and Pricing Strategies of Supply Chain under Various Demand Forecasting Scenarios," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-27, February.
    13. Taleizadeh, Ata Allah & Pentico, David W. & Saeed Jabalameli, Mohammad & Aryanezhad, Mirbahador, 2013. "An EOQ model with partial delayed payment and partial backordering," Omega, Elsevier, vol. 41(2), pages 354-368.
    14. Bowon Kim & Jeong Eun Sim, 2016. "Supply Chain Coordination and Consumer Awareness for Pollution Reduction," Sustainability, MDPI, vol. 8(4), pages 1-20, April.
    15. Zhaofu Hong & Hao Wang & Yeming Gong, 2019. "Green product design considering functional-product reference," Post-Print hal-02312293, HAL.
    16. Dharmendra Yadav & Umesh Chand & Ruchi Goel & Biswajit Sarkar, 2023. "Smart Production System with Random Imperfect Process, Partial Backordering, and Deterioration in an Inflationary Environment," Mathematics, MDPI, vol. 11(2), pages 1-20, January.
    17. Mou, Shandong & Robb, David J. & DeHoratius, Nicole, 2018. "Retail store operations: Literature review and research directions," European Journal of Operational Research, Elsevier, vol. 265(2), pages 399-422.
    18. Chen, Xiaobin & Man, Yi & Zheng, Qifu & Hu, Yusha & Li, Jigeng & Hong, Mengna, 2019. "Industrial verification of energy saving for the single-tier cylinder based paper drying process," Energy, Elsevier, vol. 170(C), pages 261-272.
    19. Konur, Dinçer & Campbell, James F. & Monfared, Sepideh A., 2017. "Economic and environmental considerations in a stochastic inventory control model with order splitting under different delivery schedules among suppliers," Omega, Elsevier, vol. 71(C), pages 46-65.
    20. Silvia Vela & Chiara Calderini & Paolo Rosasco & Carlo Strazza, 2022. "Economic and Environmental Evaluation of a Single-Story Steel Building in Its Life Cycle: A Comprehensive Analysis," Sustainability, MDPI, vol. 14(21), pages 1-22, November.

    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:gam:jsusta:v:15:y:2023:i:4:p:3436-:d:1067157. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.