IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i17p13181-d1231274.html
   My bibliography  Save this article

Analysis of Green Closed-Loop Supply Chain Efficiency under Generalized Stochastic Petri Nets

Author

Listed:
  • Lang Liu

    (School of Economics and Management, East China Jiaotong University, Nanchang 330013, China
    School of Business Administration, Guizhou University of Finance and Economics, Guiyang 550025, China)

  • Yutao Pu

    (School of Economics and Management, East China Jiaotong University, Nanchang 330013, China)

  • Zhenwei Liu

    (School of Economics and Management, East China Jiaotong University, Nanchang 330013, China)

  • Junjie Liu

    (School of Economics and Management, East China Jiaotong University, Nanchang 330013, China)

Abstract

In this paper, we aim to explore the operational performance of a green closed-loop supply chain under random events. A green closed-loop supply chain model based on generalized stochastic Petri nets (GSPN) is built using the Petri nets theory. According to the isomorphic relationship between GSPN and continuous-time Markov chains, the relevant Markov model is converted from GSPN, and the steady-state probability of the model is then calculated. Finally, the model is analyzed from the aspects of time performance and operation efficiency of each link. Compared to previous studies, this paper finds that: when the whole green closed-loop supply chain system reaches a dynamic equilibrium state, the product has a steady-state probability at all stages, and thus the overall operational performance of the system can be obtained; compared with the recycling of waste products, the green product takes a longer time in the production and distribution stages; since marketing, packaging processing, market feedback, and market demand formulation account for a high level of utilization throughout the life cycle of green products, decision makers need to focus on the supervision and management of these links. Managers of green closed-loop supply chain systems need to adjust their decision-making strategies in a timely manner according to the performance level of the system in the steady state to realize the efficient operation of the system. This paper not only provides theoretical support for the improvement of the operational efficiency of green closed-loop supply chain system, but also provides new ideas for the research of green closed-loop supply chain operation mode.

Suggested Citation

  • Lang Liu & Yutao Pu & Zhenwei Liu & Junjie Liu, 2023. "Analysis of Green Closed-Loop Supply Chain Efficiency under Generalized Stochastic Petri Nets," Sustainability, MDPI, vol. 15(17), pages 1-16, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13181-:d:1231274
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/17/13181/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/17/13181/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xinwei Pan & Chenghua Xu & Helan Cheng & Yehui Shi & Jianjun Dong & Zhilong Chen & Libor PekaÅ™, 2022. "Urban Logistics Services Supply Chain Process Modelling Based on the Underground Logistics System via the Hierarchical Colored Petri Net," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-17, December.
    2. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    3. Yan Zhou & Xin-Tong Lin & Zhi-Ping Fan & Kar-Hung Wong, 2022. "Remanufacturing Strategy Choice of a Closed-Loop Supply Chain Network Considering Carbon Emission Trading, Green Innovation, and Green Consumers," IJERPH, MDPI, vol. 19(11), pages 1-42, June.
    4. Quariguasi Frota Neto, J. & Walther, G. & Bloemhof, J. & van Nunen, J.A.E.E. & Spengler, T., 2009. "A methodology for assessing eco-efficiency in logistics networks," European Journal of Operational Research, Elsevier, vol. 193(3), pages 670-682, March.
    5. Chao Lu & Weilai Huang & Haifang Cheng, 2021. "Comparative Analysis of Government Subsidy Policies in a Dynamic Green Supply Chain Considering Consumers Preference," Sustainability, MDPI, vol. 13(21), pages 1-26, October.
    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. Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline.M. & Meuwissen, Miranda P.M. & van der Vorst, Jack G.A.J., 2012. "A Review on Quantitative Models for Sustainable Food Logistics Management," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 3(2), pages 1-20, December.
    2. Scott, James & Ho, William & Dey, Prasanta K. & Talluri, Srinivas, 2015. "A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments," International Journal of Production Economics, Elsevier, vol. 166(C), pages 226-237.
    3. Idris, Nurjihan & Arshad, Fatimah Mohamed & Radam, Alias & Ali, Noor Azman, 2009. "Construct validation of supply chain management in cooperative," MPRA Paper 19483, University Library of Munich, Germany.
    4. Ogulin, R. & Selen, W. & Ashayeri, J., 2010. "Determinants of Informal Coordination in Networked Supply Chains," Discussion Paper 2010-133, Tilburg University, Center for Economic Research.
    5. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.
    6. Timo Hilger & Florian Sahling & Horst Tempelmeier, 2016. "Capacitated dynamic production and remanufacturing planning under demand and return uncertainty," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(4), pages 849-876, October.
    7. Sajjad Aslani Khiavi & Hamid Khaloozadeh & Fahimeh Soltanian, 2021. "Suboptimal sliding manifold For nonlinear supply chain with time delay," Journal of Combinatorial Optimization, Springer, vol. 42(1), pages 151-173, July.
    8. García Cáceres, Rafael Guillermo & Aráoz Durand, Julián Arturo & Gómez, Fernando Palacios, 2009. "Integral analysis method - IAM," European Journal of Operational Research, Elsevier, vol. 192(3), pages 891-903, February.
    9. repec:tkp:ijsrsy:v:2:y:2012:i:2:p:73-91 is not listed on IDEAS
    10. Monideepa Tarafdar & Sufian Qrunfleh, 2017. "Agile supply chain strategy and supply chain performance: complementary roles of supply chain practices and information systems capability for agility," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 925-938, February.
    11. Deepak Bhagat & U.R. Dhar, 2014. "Relationship Dynamics in the Pineapple Supply Chain: Empirical Evidence from the Garo Hills of Meghalaya," Global Business Review, International Management Institute, vol. 15(4), pages 747-765, December.
    12. Holzapfel, Andreas & Potoczki, Tobias & Kuhn, Heinrich, 2023. "Designing the breadth and depth of distribution networks in the retail trade," International Journal of Production Economics, Elsevier, vol. 257(C).
    13. Xinghua Wu & Sihuan Li, 2022. "Impacts of CSR Undertaking Modes on Technological Innovation and Carbon-Emission-Reduction Decisions of Supply Chain," Sustainability, MDPI, vol. 14(20), pages 1-25, October.
    14. Chen, Chen-Tung & Huang, Sue-Fen, 2006. "Order-fulfillment ability analysis in the supply-chain system with fuzzy operation times," International Journal of Production Economics, Elsevier, vol. 101(1), pages 185-193, May.
    15. Jędrzej Charłampowicz, 2018. "Supply Chain Efficiency On The Maritime Container Shipping Markets – Selected Issues," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 18, pages 357-368.
    16. Giachetti, Ronald E. & Martinez, Luis D. & Saenz, Oscar A. & Chen, Chin-Sheng, 2003. "Analysis of the structural measures of flexibility and agility using a measurement theoretical framework," International Journal of Production Economics, Elsevier, vol. 86(1), pages 47-62, October.
    17. Aydin Teymourifar & Maria A. M. Trindade, 2023. "A Framework to Design and Evaluate Green Contract Mechanisms for Forestry Supply Chains," Sustainability, MDPI, vol. 15(9), pages 1-13, May.
    18. Zhou, Na & Su, Hui & Wu, Qiaosheng & Hu, Shougeng & Xu, Deyi & Yang, Danhui & Cheng, Jinhua, 2022. "China's lithium supply chain: Security dynamics and policy countermeasures," Resources Policy, Elsevier, vol. 78(C).
    19. Milan Andrejić, 2023. "Modeling Retail Supply Chain Efficiency: Exploration and Comparative Analysis of Different Approaches," Mathematics, MDPI, vol. 11(7), pages 1-24, March.
    20. Aleksander Banasik & Argyris Kanellopoulos & G. D. H. Claassen & Jacqueline M. Bloemhof-Ruwaard & Jack G. A. J. Vorst, 2017. "Assessing alternative production options for eco-efficient food supply chains using multi-objective optimization," Annals of Operations Research, Springer, vol. 250(2), pages 341-362, March.
    21. Fleisch, Elgar & Tellkamp, Christian, 2005. "Inventory inaccuracy and supply chain performance: a simulation study of a retail supply chain," International Journal of Production Economics, Elsevier, vol. 95(3), pages 373-385, March.

    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:17:p:13181-:d:1231274. 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.