IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v244y2015i2p624-636.html
   My bibliography  Save this article

Modeling the dynamics of a multi-product manufacturing system: A real case application

Author

Listed:
  • Sagawa, Juliana Keiko
  • Nagano, Marcelo Seido

Abstract

In this paper, a continuous multi-product model is developed to represent the shop floor dynamics of a job shop, based on dynamic modeling and on analogies to electrical components. This approach allows the mathematical formulation of the model (state representation) and the analysis of its dynamic response via simulation. A real case application in the textile industry is presented. Thus, this research contributes in the following ways: first, proposing a model that is suitable for multi-product systems with intricate job shop configuration and that is generalizable to various manufacturing systems; second, presenting a real case application of the proposed model. As practical implications, it provides production managers and practitioners with a prescriptive decision model that considers the dynamics of the production systems and the interdependencies of the decisions made in the shop floor. From the academic perspective, it contributes to the existing literature by presenting the application of an alternative modeling methodology, and by extending this methodology to manufacturing systems with multiple products, instead of single-product systems. Continuous models such as the one proposed can benefit from a wide range of tools for system analysis and control design, come from control theory. Although these tools have been extensively applied to model the supply chain, applications devoted to the plant level seem to be neglected over the past years. This model also aims to contribute in this direction.

Suggested Citation

  • Sagawa, Juliana Keiko & Nagano, Marcelo Seido, 2015. "Modeling the dynamics of a multi-product manufacturing system: A real case application," European Journal of Operational Research, Elsevier, vol. 244(2), pages 624-636.
  • Handle: RePEc:eee:ejores:v:244:y:2015:i:2:p:624-636
    DOI: 10.1016/j.ejor.2015.01.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221715000375
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2015.01.017?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. Ivanov, Dmitry & Sokolov, Boris, 2013. "Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis and adaptation of performance under uncertainty," European Journal of Operational Research, Elsevier, vol. 224(2), pages 313-323.
    2. Axsater, Sven & Olsson, Fredrik & Tydesjo, Patrik, 2007. "Heuristics for handling direct upstream demand in two-echelon distribution inventory systems," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 266-270, July.
    3. Grubbstrom, Robert W. & Molinder, Anders, 1996. "Safety production plans in MRP-systems using transform methodology," International Journal of Production Economics, Elsevier, vol. 46(1), pages 297-309, December.
    4. Bogataj, Ludvik & Horvat, Liljana, 1996. "Stochastic considerations of Grubbstrom--Molinder model of MRP, input-output and multi-echelon inventory systems," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 329-336, August.
    5. Grubbstrom, Robert W. & Ovrin, Peter, 1992. "Intertemporal generalization of the relationship between material requirements planning and input-output analysis," International Journal of Production Economics, Elsevier, vol. 26(1-3), pages 311-318, February.
    6. Carlos F. Daganzo, 2004. "On the Stability of Supply Chains," Operations Research, INFORMS, vol. 52(6), pages 909-921, December.
    7. Evans, G. N. & Naim, M. M. & Towill, D. R., 1998. "Application of a simulation methodology to the redesign of a logistical control system," International Journal of Production Economics, Elsevier, vol. 56(1), pages 157-168, September.
    8. Ivanov, Dmitry & Sokolov, Boris & Kaeschel, Joachim, 2010. "A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations," European Journal of Operational Research, Elsevier, vol. 200(2), pages 409-420, January.
    9. Zhou, Li & Disney, Stephen & Towill, Denis R., 2010. "A pragmatic approach to the design of bullwhip controllers," International Journal of Production Economics, Elsevier, vol. 128(2), pages 556-568, December.
    10. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2003. "Measuring and avoiding the bullwhip effect: A control theoretic approach," European Journal of Operational Research, Elsevier, vol. 147(3), pages 567-590, June.
    11. Arda, Yasemin & Hennet, Jean-Claude, 2006. "Inventory control in a multi-supplier system," International Journal of Production Economics, Elsevier, vol. 104(2), pages 249-259, December.
    12. Weng, Wei & Fujimura, Shigeru, 2012. "Control methods for dynamic time-based manufacturing under customized product lead times," European Journal of Operational Research, Elsevier, vol. 218(1), pages 86-96.
    13. Disney, S. M. & Naim, M. M. & Towill, D. R., 2000. "Genetic algorithm optimisation of a class of inventory control systems," International Journal of Production Economics, Elsevier, vol. 68(3), pages 259-278, December.
    14. Jang, Wooseung, 2002. "Dynamic scheduling of stochastic jobs on a single machine," European Journal of Operational Research, Elsevier, vol. 138(3), pages 518-530, May.
    15. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2002. "Transfer function analysis of forecasting induced bullwhip in supply chains," International Journal of Production Economics, Elsevier, vol. 78(2), pages 133-144, July.
    16. Wiendahl, Hans-Peter & Breithaupt, Jan-Wilhelm, 2000. "Automatic production control applying control theory," International Journal of Production Economics, Elsevier, vol. 63(1), pages 33-46, January.
    17. Kogan, Konstantin & Herbon, Avi, 2008. "A supply chain under limited-time promotion: The effect of customer sensitivity," European Journal of Operational Research, Elsevier, vol. 188(1), pages 273-292, July.
    18. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2004. "The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective," European Journal of Operational Research, Elsevier, vol. 153(3), pages 727-750, March.
    19. Herbert J. Vassian, 1955. "Application of Discrete Variable Servo Theory to Inventory Control," Operations Research, INFORMS, vol. 3(3), pages 272-282, August.
    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. Ivanov, Dmitry & Pavlov, Alexander & Pavlov, Dmitry & Sokolov, Boris, 2017. "Minimization of disruption-related return flows in the supply chain," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 503-513.
    2. Rossi, Tommaso & Pozzi, Rossella & Testa, Mariapaola, 2017. "EOQ-based inventory management in single-machine multi-item systems," Omega, Elsevier, vol. 71(C), pages 106-113.
    3. Sagawa, Juliana Keiko & Mušič, Gašper, 2019. "Towards the use of bond graphs for manufacturing control: Design of controllers," International Journal of Production Economics, Elsevier, vol. 214(C), pages 53-72.
    4. Sagawa, Juliana Keiko & Nagano, Marcelo Seido & Speranza Neto, Mauro, 2017. "A closed-loop model of a multi-station and multi-product manufacturing system using bond graphs and hybrid controllers," European Journal of Operational Research, Elsevier, vol. 258(2), pages 677-691.

    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. Lin, J. & Naim, M.M. & Purvis, L. & Gosling, J., 2017. "The extension and exploitation of the inventory and order based production control system archetype from 1982 to 2015," International Journal of Production Economics, Elsevier, vol. 194(C), pages 135-152.
    2. Sagawa, Juliana Keiko & Mušič, Gašper, 2019. "Towards the use of bond graphs for manufacturing control: Design of controllers," International Journal of Production Economics, Elsevier, vol. 214(C), pages 53-72.
    3. Wang, Zhaodong & Wang, Xin & Ouyang, Yanfeng, 2015. "Bounded growth of the bullwhip effect under a class of nonlinear ordering policies," European Journal of Operational Research, Elsevier, vol. 247(1), pages 72-82.
    4. Aggelogiannaki, Eleni & Sarimveis, Haralambos, 2008. "Design of a novel adaptive inventory control system based on the online identification of lead time," International Journal of Production Economics, Elsevier, vol. 114(2), pages 781-792, August.
    5. K. Devika & A. Jafarian & A. Hassanzadeh & R. Khodaverdi, 2016. "Optimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristics," Annals of Operations Research, Springer, vol. 242(2), pages 457-487, July.
    6. Sagawa, Juliana Keiko & Nagano, Marcelo Seido & Speranza Neto, Mauro, 2017. "A closed-loop model of a multi-station and multi-product manufacturing system using bond graphs and hybrid controllers," European Journal of Operational Research, Elsevier, vol. 258(2), pages 677-691.
    7. H. Norouzi Nav & M. R. Jahed Motlagh & A. Makui, 2017. "Robust controlling of chaotic behavior in supply chain networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(6), pages 711-724, June.
    8. Aggelogiannaki, Eleni & Doganis, Philip & Sarimveis, Haralambos, 2008. "An adaptive model predictive control configuration for production-inventory systems," International Journal of Production Economics, Elsevier, vol. 114(1), pages 165-178, July.
    9. Ma, Yungao & Wang, Nengmin & He, Zhengwen & Lu, Jizhou & Liang, Huigang, 2015. "Analysis of the bullwhip effect in two parallel supply chains with interacting price-sensitive demands," European Journal of Operational Research, Elsevier, vol. 243(3), pages 815-825.
    10. Ivanov, Dmitry & Sokolov, Boris, 2013. "Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis and adaptation of performance under uncertainty," European Journal of Operational Research, Elsevier, vol. 224(2), pages 313-323.
    11. A A Syntetos & J E Boylan & S M Disney, 2009. "Forecasting for inventory planning: a 50-year review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 149-160, May.
    12. Warburton, Roger D. H., 2004. "An exact analytical solution to the production inventory control problem," International Journal of Production Economics, Elsevier, vol. 92(1), pages 81-96, November.
    13. Disney, S.M. & Farasyn, I. & Lambrecht, M. & Towill, D.R. & de Velde, W. Van, 2006. "Taming the bullwhip effect whilst watching customer service in a single supply chain echelon," European Journal of Operational Research, Elsevier, vol. 173(1), pages 151-172, August.
    14. Kristianto, Yohanes & Helo, Petri & Jiao, Jianxin (Roger) & Sandhu, Maqsood, 2012. "Adaptive fuzzy vendor managed inventory control for mitigating the Bullwhip effect in supply chains," European Journal of Operational Research, Elsevier, vol. 216(2), pages 346-355.
    15. Hoberg, Kai & Thonemann, Ulrich W., 2014. "Modeling and analyzing information delays in supply chains using transfer functions," International Journal of Production Economics, Elsevier, vol. 156(C), pages 132-145.
    16. Grubbstrom, Robert W., 1999. "A net present value approach to safety stocks in a multi-level MRP system," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 361-375, March.
    17. Erik Hofmann, 2017. "Big data and supply chain decisions: the impact of volume, variety and velocity properties on the bullwhip effect," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5108-5126, September.
    18. Ciancimino, Elena & Cannella, Salvatore & Bruccoleri, Manfredi & Framinan, Jose M., 2012. "On the Bullwhip Avoidance Phase: The Synchronised Supply Chain," European Journal of Operational Research, Elsevier, vol. 221(1), pages 49-63.
    19. Chatfield, Dean C. & Pritchard, Alan M., 2013. "Returns and the bullwhip effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 159-175.
    20. Hoberg, Kai & Bradley, James R. & Thonemann, Ulrich W., 2007. "Analyzing the effect of the inventory policy on order and inventory variability with linear control theory," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1620-1642, February.

    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:eee:ejores:v:244:y:2015:i:2:p:624-636. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.