IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v55y2004i8d10.1057_palgrave.jors.2601740.html
   My bibliography  Save this article

A flexible and generic approach to dynamic modelling of supply chains

Author

Listed:
  • W Y Hung

    (Imperial College)

  • S Kucherenko

    (Imperial College)

  • N J Samsatli

    (Imperial College)

  • N Shah

    (Imperial College)

Abstract

In this paper, we present a new modelling approach for realistic supply chain simulation. The model provides an experimental environment for informed comparison between different supply chain policies. A basic simulation model for a generic node, from which a supply chain network can be built, has been developed using an object-oriented approach. This generic model allows the incorporation of the information and physical systems and decision-making policies used by each node. The object-oriented approach gives the flexibility in specifying the supply chain configuration and operation decisions, and policies. Stochastic simulations are achieved by applying Latin Supercube Sampling to the uncertain variables in descending order of importance, which reduces the number of simulations required. We also present a case study to show that the model is applicable to a real-life situation for dynamic stochastic studies.

Suggested Citation

  • W Y Hung & S Kucherenko & N J Samsatli & N Shah, 2004. "A flexible and generic approach to dynamic modelling of supply chains," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 801-813, August.
    • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:8:d:10.1057_palgrave.jors.2601740
    DOI: 10.1057/palgrave.jors.2601740
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2601740
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/palgrave.jors.2601740?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. Vidal, Carlos J. & Goetschalckx, Marc, 1997. "Strategic production-distribution models: A critical review with emphasis on global supply chain models," European Journal of Operational Research, Elsevier, vol. 98(1), pages 1-18, April.
    2. 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.
    3. Morris A. Cohen & Hau L. Lee, 1988. "Strategic Analysis of Integrated Production-Distribution Systems: Models and Methods," Operations Research, INFORMS, vol. 36(2), pages 216-228, April.
    4. 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.
    5. Hautaniemi, Petri & Pirttila, Timo, 1999. "The choice of replenishment policies in an MRP environment," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 85-92, March.
    6. Sobol, I.M., 1998. "On quasi-Monte Carlo integrations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 47(2), pages 103-112.
    7. Slats, Piet A. & Bhola, Bis & Evers, Joseph J. M. & Dijkhuizen, Gert, 1995. "Logistic chain modelling," European Journal of Operational Research, Elsevier, vol. 87(1), pages 1-20, 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. Awudu, Iddrisu & Zhang, Jun, 2012. "Uncertainties and sustainability concepts in biofuel supply chain management: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1359-1368.
    2. Martínez-Olvera, César, 2009. "Benefits of using hybrid business models within a supply chain," International Journal of Production Economics, Elsevier, vol. 120(2), pages 501-511, August.
    3. Niels Bugert & Rainer Lasch, 2023. "Analyzing upstream and downstream risk propagation in supply networks by combining Agent-based Modeling and Bayesian networks," Journal of Business Economics, Springer, vol. 93(5), pages 859-889, July.

    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. Hung, Wing Yan & Samsatli, Nouri J. & Shah, Nilay, 2006. "Object-oriented dynamic supply-chain modelling incorporated with production scheduling," European Journal of Operational Research, Elsevier, vol. 169(3), pages 1064-1076, March.
    2. Uday Venkatadri & Shentao Wang & Ashok Srinivasan, 2021. "A Model for Demand Planning in Supply Chains with Congestion Effects," Logistics, MDPI, vol. 5(1), pages 1-24, January.
    3. Erdem Eskigun & Reha Uzsoy & Paul V. Preckel & George Beaujon & Subramanian Krishnan & Jeffrey D. Tew, 2007. "Outbound supply chain network design with mode selection and lead time considerations," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(3), pages 282-300, April.
    4. Umar Muhammad Modibbo & Srikant Gupta & Aquil Ahmed & Irfan Ali, 2024. "An integrated multi-objective multi-product inventory managed production planning problem under uncertain environment," Annals of Operations Research, Springer, vol. 339(3), pages 1679-1723, August.
    5. 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.
    6. Olivares-Benitez, Elias & Ríos-Mercado, Roger Z. & González-Velarde, José Luis, 2013. "A metaheuristic algorithm to solve the selection of transportation channels in supply chain design," International Journal of Production Economics, Elsevier, vol. 145(1), pages 161-172.
    7. Samir Elhedhli & Jean-Louis Goffin, 2005. "Efficient Production-Distribution System Design," Management Science, INFORMS, vol. 51(7), pages 1151-1164, July.
    8. Pedro L. Miranda & Reinaldo Morabito & Deisemara Ferreira, 2018. "Optimization model for a production, inventory, distribution and routing problem in small furniture companies," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(1), pages 30-67, April.
    9. Wang, Juite & Shu, Yun-Feng, 2007. "A possibilistic decision model for new product supply chain design," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1044-1061, March.
    10. Ferrer, Geraldo, 2010. "Open architecture, inventory pooling and maintenance modules," International Journal of Production Economics, Elsevier, vol. 128(1), pages 393-403, November.
    11. Bricha, Naji & Nourelfath, Mustapha, 2015. "Protection of warehouses and plants under capacity constraint," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 93-104.
    12. Demeter, Krisztina & Szász, Levente & Kő, Andrea, 2019. "A text mining based overview of inventory research in the ISIR special issues 1994–2016," International Journal of Production Economics, Elsevier, vol. 209(C), pages 134-146.
    13. Umair Waqas & Azmawani Abd Rahman & Normaz Wana Ismail & Norazlyn Kamal Basha & Sonia Umair, 2023. "Influence of supply chain risk management and its mediating role on supply chain performance: perspectives from an agri-fresh produce," Annals of Operations Research, Springer, vol. 324(1), pages 1399-1427, May.
    14. 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.
    15. Mula, Josefa & Peidro, David & Díaz-Madroñero, Manuel & Vicens, Eduardo, 2010. "Mathematical programming models for supply chain production and transport planning," European Journal of Operational Research, Elsevier, vol. 204(3), pages 377-390, August.
    16. Tang, Christopher S. & Davarzani, Hoda & Sarkis, Joseph, 2015. "Quantitative models for managing supply chain risks: A reviewAuthor-Name: Fahimnia, Behnam," European Journal of Operational Research, Elsevier, vol. 247(1), pages 1-15.
    17. Hsu, Chaug-Ing & Li, Hui-Chieh, 2011. "Reliability evaluation and adjustment of supply chain network design with demand fluctuations," International Journal of Production Economics, Elsevier, vol. 132(1), pages 131-145, July.
    18. J R Montoya-Torres & A Aponte & P Rosas, 2011. "Applying GRASP to solve the multi-item three-echelon uncapacitated facility location problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(2), pages 397-406, February.
    19. Al-Othman, Wafa B.E. & Lababidi, Haitham M.S. & Alatiqi, Imad M. & Al-Shayji, Khawla, 2008. "Supply chain optimization of petroleum organization under uncertainty in market demands and prices," European Journal of Operational Research, Elsevier, vol. 189(3), pages 822-840, September.
    20. Mohammadi Bidhandi, Hadi & Mohd. Yusuff, Rosnah & Megat Ahmad, Megat Mohamad Hamdan & Abu Bakar, Mohd Rizam, 2009. "Development of a new approach for deterministic supply chain network design," European Journal of Operational Research, Elsevier, vol. 198(1), pages 121-128, October.

    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:pal:jorsoc:v:55:y:2004:i:8:d:10.1057_palgrave.jors.2601740. 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.palgrave-journals.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.