IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v13y2022i1d10.1007_s13198-021-01447-7.html
   My bibliography  Save this article

Analysis and modeling of supply chain management of fresh products based on genetic algorithm

Author

Listed:
  • Yaoting Chen

    (Minnan Normal University
    Analysis and Application for Business Big Data of Fujian Provincial Key Laboratory)

  • Huanting Chen

    (Minnan Normal University)

Abstract

The important factor for the supply chain management of fresh products is partner selection. Environment protection is also an important factor, however the factor is not taken into account by the traditional supplier selection. Therefore, the supplier selection standard includes the green standard in this paper. Our work is to investigate an optimal mathematical modeling for green partner selection. The four targets of the proposed model are cost, product quality, green appraisal score and time. The proposed genetic algorithm with multi-targets are to search the set of optimum solutions using by weighted sum method. The proposed model introduces a supply chain network structure to analysis average number Pareto-optimal solutions with genetic algorithm for the four problems. It is pointed out that the variation of f2 and f3 with f1 and f4 is kept within obvious ranges. This practical result highlights the fact that the effects of the fact that effects of f2 and f3 are important factors affecting the performance supply chain network of fresh product.

Suggested Citation

  • Yaoting Chen & Huanting Chen, 2022. "Analysis and modeling of supply chain management of fresh products based on genetic algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 405-414, March.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01447-7
    DOI: 10.1007/s13198-021-01447-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01447-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-021-01447-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Barnes-Schuster, Dawn & Bassok, Yehuda & Anupindi, Ravi, 2006. "Optimizing delivery lead time/inventory placement in a two-stage production/distribution system," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1664-1684, November.
    2. Brian C. Murray & Richard G. Newell & William A. Pizer, 2009. "Balancing Cost and Emissions Certainty: An Allowance Reserve for Cap-and-Trade," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 3(1), pages 84-103, Winter.
    3. Andrew J. Clark & Herbert Scarf, 2004. "Optimal Policies for a Multi-Echelon Inventory Problem," Management Science, INFORMS, vol. 50(12_supple), pages 1782-1790, December.
    4. Widodo, K.H. & Nagasawa, H. & Morizawa, K. & Ota, M., 2006. "A periodical flowering-harvesting model for delivering agricultural fresh products," European Journal of Operational Research, Elsevier, vol. 170(1), pages 24-43, April.
    5. Mohammad Saeid Atabaki & Mohammad Mohammadi & Bahman Naderi, 2017. "Hybrid Genetic Algorithm and Invasive Weed Optimization via Priority Based Encoding for Location-Allocation Decisions in a Three-Stage Supply Chain," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(02), pages 1-44, April.
    6. Mani, Venkatesh & Gunasekaran, Angappa, 2018. "Four forces of supply chain social sustainability adoption in emerging economies," International Journal of Production Economics, Elsevier, vol. 199(C), pages 150-161.
    7. 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.
    8. Tülin İnkaya & Mehmet Akansel, 2017. "Coordinated scheduling of the transfer lots in an assembly-type supply chain: a genetic algorithm approach," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 1005-1015, April.
    9. van Houtum, G. J. & Inderfurth, K. & Zijm, W. H. M., 1996. "Materials coordination in stochastic multi-echelon systems," European Journal of Operational Research, Elsevier, vol. 95(1), pages 1-23, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ihab K. A. Hamdan & Wulamu Aziguli & Dezheng Zhang & Eli Sumarliah, 2023. "Machine learning in supply chain: prediction of real-time e-order arrivals using ANFIS," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 549-568, March.

    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. van der Heijden, Matthieu, 2000. "Near cost-optimal inventory control policies for divergent networks under fill rate constraints," International Journal of Production Economics, Elsevier, vol. 63(2), pages 161-179, January.
    2. Andersson, Jonas & Marklund, Johan, 2000. "Decentralized inventory control in a two-level distribution system," European Journal of Operational Research, Elsevier, vol. 127(3), pages 483-506, December.
    3. Inderfurth, Karl & Minner, Stefan, 1998. "Safety stocks in multi-stage inventory systems under different service measures," European Journal of Operational Research, Elsevier, vol. 106(1), pages 57-73, April.
    4. van der Vorst, Jack G. A. J. & Beulens, Adrie J. M. & van Beek, Paul, 2000. "Modelling and simulating multi-echelon food systems," European Journal of Operational Research, Elsevier, vol. 122(2), pages 354-366, April.
    5. Diks, E. B. & de Kok, A. G., 1998. "Optimal control of a divergent multi-echelon inventory system," European Journal of Operational Research, Elsevier, vol. 111(1), pages 75-97, November.
    6. Gregory A. DeCroix, 2006. "Optimal Policy for a Multiechelon Inventory System with Remanufacturing," Operations Research, INFORMS, vol. 54(3), pages 532-543, June.
    7. Klosterhalfen, Steffen T. & Dittmar, Daniel & Minner, Stefan, 2013. "An integrated guaranteed- and stochastic-service approach to inventory optimization in supply chains," European Journal of Operational Research, Elsevier, vol. 231(1), pages 109-119.
    8. Huaxiao Shen & Tian Tian & Han Zhu, 2019. "A Two-Echelon Inventory System with a Minimum Order Quantity Requirement," Sustainability, MDPI, vol. 11(18), pages 1-22, September.
    9. Henk Zijm & Judith Timmer, 2008. "Coordination mechanisms for inventory control in three-echelon serial and distribution systems," Annals of Operations Research, Springer, vol. 158(1), pages 161-182, February.
    10. Lagodimos, A.G. & Koukoumialos, S., 2008. "Service performance of two-echelon supply chains under linear rationing," International Journal of Production Economics, Elsevier, vol. 112(2), pages 869-884, April.
    11. Diks, E. B. & de Kok, A. G. & Lagodimos, A. G., 1996. "Multi-echelon systems: A service measure perspective," European Journal of Operational Research, Elsevier, vol. 95(2), pages 241-263, December.
    12. 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.
    13. Holly Lutze & Özalp Özer, 2008. "Promised Lead-Time Contracts Under Asymmetric Information," Operations Research, INFORMS, vol. 56(4), pages 898-915, August.
    14. Kevin H. Shang & Jing-Sheng Song, 2003. "Newsvendor Bounds and Heuristic for Optimal Policies in Serial Supply Chains," Management Science, INFORMS, vol. 49(5), pages 618-638, May.
    15. Cheung, Ki Ling & Song, Jing-Sheng & Zhang, Yue, 2017. "Cost reduction through operations reversal," European Journal of Operational Research, Elsevier, vol. 259(1), pages 100-112.
    16. Johan Marklund & Kaj Rosling, 2012. "Lower Bounds and Heuristics for Supply Chain Stock Allocation," Operations Research, INFORMS, vol. 60(1), pages 92-105, February.
    17. Ahumada, Omar & Villalobos, J. Rene, 2009. "Application of planning models in the agri-food supply chain: A review," European Journal of Operational Research, Elsevier, vol. 196(1), pages 1-20, July.
    18. Mekhtiev, Mirza Arif, 2013. "Analytical evaluation of lead-time demand in polytree supply chains with uncertain demand, lead-time and inter-demand time," International Journal of Production Economics, Elsevier, vol. 145(1), pages 304-317.
    19. Wang, Hongwei & Guo, Min & Efstathiou, Janet, 2004. "A game-theoretical cooperative mechanism design for a two-echelon decentralized supply chain," European Journal of Operational Research, Elsevier, vol. 157(2), pages 372-388, September.
    20. Vanteddu, Gangaraju & Chinnam, Ratna Babu & Gushikin, Oleg, 2011. "Supply chain focus dependent supplier selection problem," International Journal of Production Economics, Elsevier, vol. 129(1), pages 204-216, January.

    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:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01447-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.