IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v136y2012i1p161-171.html
   My bibliography  Save this article

Selecting make-to-stock and postponement policies for different products in a chemical plant: A case study using discrete event simulation

Author

Listed:
  • Sharda, Bikram
  • Akiya, Naoko

Abstract

We present a guideline for selecting the inventory management policy for a specialty chemical plant that produces products with limited shelf life, by producing multiple grades of bulk chemical and packaging them into a large variety of bottles. The policy for each product was selected based on a cost–benefit analysis, using the multiple objectives of maximizing the on time order fulfillment, minimizing the production (cleaning and shelf life expiration) and inventory costs. To generate realistic cost estimates, we developed a discrete event simulation model that included demand variability, planning and scheduling policies, and operational details. We evaluated three different policies: make-to-stock (MTS), postponement, and combined MTS/postponement. We also evaluated different storage media and optimized the number of storage units for products selected for postponement. A combined MTS/postponement policy, in which postponement is applied to products with low to medium demand and high expiration provided lowest costs without significantly impacting the customer on time order fulfillment. For all other products, a MTS policy is applied to maximize order fulfillment on time, reduce cleaning costs and to reduce number of storage units.

Suggested Citation

  • Sharda, Bikram & Akiya, Naoko, 2012. "Selecting make-to-stock and postponement policies for different products in a chemical plant: A case study using discrete event simulation," International Journal of Production Economics, Elsevier, vol. 136(1), pages 161-171.
  • Handle: RePEc:eee:proeco:v:136:y:2012:i:1:p:161-171
    DOI: 10.1016/j.ijpe.2011.10.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527311004130
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2011.10.001?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. van Donk, Dirk Pieter, 2001. "Make to stock or make to order: The decoupling point in the food processing industries," International Journal of Production Economics, Elsevier, vol. 69(3), pages 297-306, February.
    2. Soman, Chetan Anil & Pieter van Donk, Dirk & Gaalman, Gerard, 2006. "Comparison of dynamic scheduling policies for hybrid make-to-order and make-to-stock production systems with stochastic demand," International Journal of Production Economics, Elsevier, vol. 104(2), pages 441-453, December.
    3. S. Rajagopalan, 2002. "Make to Order or Make to Stock: Model and Application," Management Science, INFORMS, vol. 48(2), pages 241-256, February.
    4. Soman, C.A. & van Donk, D.P. & Gaalman, G.J.C., 2007. "Capacitated planning and scheduling for combined make-to-order and make-to-stock production in the food industry: An illustrative case study," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 191-199, July.
    5. Hau L. Lee & Corey Billington & Brent Carter, 1993. "Hewlett-Packard Gains Control of Inventory and Service through Design for Localization," Interfaces, INFORMS, vol. 23(4), pages 1-11, August.
    6. Soman, Chetan Anil & van Donk, Dirk Pieter & Gaalman, Gerard, 2004. "Combined make-to-order and make-to-stock in a food production system," International Journal of Production Economics, Elsevier, vol. 90(2), pages 223-235, July.
    7. Hau L. Lee & Christopher S. Tang, 1997. "Modelling the Costs and Benefits of Delayed Product Differentiation," Management Science, INFORMS, vol. 43(1), pages 40-53, January.
    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. Li, Xingyu & Epureanu, Bogdan I., 2020. "An agent-based approach to optimizing modular vehicle fleet operation," International Journal of Production Economics, Elsevier, vol. 228(C).
    2. Carvalho, Andréa Nunes & Oliveira, Fabricio & Scavarda, Luiz Felipe, 2016. "Tactical capacity planning in a real-world ETO industry case: A robust optimization approach," International Journal of Production Economics, Elsevier, vol. 180(C), pages 158-171.
    3. Yazan K. A. Migdadi & Ahmed A. Khalifa & Abdullah Al-Swidi & Abdulkarem I. Amhamed & Muftah H. El-Naas, 2022. "A Conceptual Framework of Customer Value Proposition of CCU-Formic Acid Product," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    4. Iman Ghalehkhondabi & Dusan Sormaz & Gary Weckman, 2016. "Multiple customer order decoupling points within a hybrid MTS/MTO manufacturing supply chain with uncertain demands in two consecutive echelons," OPSEARCH, Springer;Operational Research Society of India, vol. 53(4), pages 976-997, December.
    5. Carvalho, Andréa Nunes & Oliveira, Fabricio & Scavarda, Luiz Felipe, 2015. "Tactical capacity planning in a real-world ETO industry case: An action research," International Journal of Production Economics, Elsevier, vol. 167(C), pages 187-203.
    6. Wikner, Joakim & Naim, Mohamed M. & Spiegler, Virginia L.M. & Lin, Junyi, 2017. "IOBPCS based models and decoupling thinking," International Journal of Production Economics, Elsevier, vol. 194(C), pages 153-166.
    7. Latifa Benhamou & Pierre Féniès & Vincent Giard, 2020. "Avantages Potentiels Du Reverse Blending Sur La Chaine Logistique De L'Industrie Des Engrais," Post-Print hal-03005688, HAL.
    8. Noroozi, Sayeh & Wikner, Joakim, 2017. "Sales and operations planning in the process industry: A literature review," International Journal of Production Economics, Elsevier, vol. 188(C), pages 139-155.
    9. Aqlan, Faisal & Lam, Sarah S. & Ramakrishnan, Sreekanth, 2014. "An integrated simulation–optimization study for consolidating production lines in a configure-to-order production environment," International Journal of Production Economics, Elsevier, vol. 148(C), pages 51-61.
    10. Saghiri, Soroosh S. & Barnes, Stuart J., 2016. "Supplier flexibility and postponement implementation: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 173(C), pages 170-183.
    11. Zhiming Shi & Yisong Li & Gábor Bohács & Qiang Zhou, 2022. "A Study on Optimal Location Selection and Semi-Finished Product Inventory Allocation in the Steel Industry," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    12. Dirk Briskorn & Philipp Zeise, 2019. "A cyclic production scheme for the synchronized and integrated two-level lot-sizing and scheduling problem with no-wait restrictions and stochastic demand," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(4), pages 895-942, December.

    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. Wikner, Joakim & Naim, Mohamed M. & Spiegler, Virginia L.M. & Lin, Junyi, 2017. "IOBPCS based models and decoupling thinking," International Journal of Production Economics, Elsevier, vol. 194(C), pages 153-166.
    2. Beemsterboer, Bart & Land, Martin & Teunter, Ruud, 2016. "Hybrid MTO-MTS production planning: An explorative study," European Journal of Operational Research, Elsevier, vol. 248(2), pages 453-461.
    3. Iman Ghalehkhondabi & Dusan Sormaz & Gary Weckman, 2016. "Multiple customer order decoupling points within a hybrid MTS/MTO manufacturing supply chain with uncertain demands in two consecutive echelons," OPSEARCH, Springer;Operational Research Society of India, vol. 53(4), pages 976-997, December.
    4. Fernandes, Nuno O. & Silva, Cristóvão & Carmo-Silva, S., 2015. "Order release in the hybrid MTO–FTO production," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 513-520.
    5. Luo, Hao & Yang, Xuan & Kong, Xiang T.R., 2019. "A synchronized production-warehouse management solution for reengineering the online-offline integrated order fulfillment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 211-230.
    6. Kerkkanen, Annastiina, 2007. "Determining semi-finished products to be stocked when changing the MTS-MTO policy: Case of a steel mill," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 111-118, July.
    7. Gunasekaran, Angappa & Ngai, Eric W.T., 2009. "Modeling and analysis of build-to-order supply chains," European Journal of Operational Research, Elsevier, vol. 195(2), pages 319-334, June.
    8. Helia Yousefnejad & Maryam Esmaeili, 2020. "Tactical production planning in a hybrid MTS/MTO system using Stackelberg game," Operational Research, Springer, vol. 20(3), pages 1791-1809, September.
    9. Beemsterboer, Bart & Land, Martin & Teunter, Ruud & Bokhorst, Jos, 2017. "Integrating make-to-order and make-to-stock in job shop control," International Journal of Production Economics, Elsevier, vol. 185(C), pages 1-10.
    10. Beemsterboer, Bart & Land, Martin & Teunter, Ruud, 2017. "Flexible lot sizing in hybrid make-to-order/make-to-stock production planning," European Journal of Operational Research, Elsevier, vol. 260(3), pages 1014-1023.
    11. Sun, X.Y. & Ji, P. & Sun, L.Y. & Wang, Y.L., 2008. "Positioning multiple decoupling points in a supply network," International Journal of Production Economics, Elsevier, vol. 113(2), pages 943-956, June.
    12. Shouyao Xiong & Yuanyuan Feng & Kai Huang, 2020. "Optimal MTS and MTO Hybrid Production System for a Single Product Under the Cap-And-Trade Environment," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    13. Calle, Marcos & González-R, Pedro L. & Leon, Jose M. & Pierreval, Henri & Canca, David, 2016. "Integrated management of inventory and production systems based on floating decoupling point and real-time information: A simulation based analysis," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 48-57.
    14. Beemsterboer, Bart & Land, Martin & Teunter, Ruud & Bokhorst, Jos, 2017. "Reprint of “Integrating make-to-order and make-to-stock in job shop control”," International Journal of Production Economics, Elsevier, vol. 194(C), pages 3-12.
    15. Sato, Yutaro & Maeda, Hiroyuki & Toshima, Ryusei & Nagasawa, Keisuke & Morikawa, Katsumi & Takahashi, Katsuhiko, 2023. "Switching decisions in a hybrid MTS/MTO production system comprising multiple machines considering setup," International Journal of Production Economics, Elsevier, vol. 263(C).
    16. Qing Li & Xiaoli Wu & Ki Ling Cheung, 2009. "Optimal Policies for Inventory Systems with Separate Delivery-Request and Order-Quantity Decisions," Operations Research, INFORMS, vol. 57(3), pages 626-636, June.
    17. Zhiming Shi & Yisong Li & Gábor Bohács & Qiang Zhou, 2022. "A Study on Optimal Location Selection and Semi-Finished Product Inventory Allocation in the Steel Industry," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    18. Soman, Chetan Anil & Donk, Dirk Pieter van & Gaalman, Gerard, 2002. "Combined make-to-order and make-to-stock in a food production system," Research Report 02A49, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    19. Shirvani, Nargess & Ruiz, Rubén & Shadrokh, Shahram, 2014. "Cyclic scheduling of perishable products in parallel machine with release dates, due dates and deadlines," International Journal of Production Economics, Elsevier, vol. 156(C), pages 1-12.
    20. Mabel C. Chou & Geoffrey A. Chua & Huan Zheng, 2014. "On the Performance of Sparse Process Structures in Partial Postponement Production Systems," Operations Research, INFORMS, vol. 62(2), pages 348-365, April.

    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:proeco:v:136:y:2012:i:1:p:161-171. 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/ijpe .

    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.