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Optimal production-inventory model for forest products industry supply chain under demand and supply uncertainty: Case study of a pulp mill in Ontario

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  • Shashi Shahi
  • Reino Pulkki
  • Mathew Leitch
  • Christopher Gaston

Abstract

The production planning models used in the forest products industry do not recognize the demand and supply uncertainty, and as such do not work in unison with the inventory management models. An integrated production planning and inventory management model of a forest products industry is developed in this paper. The objective is to maximize the net annual profit of the forest industry under demand and supply uncertainty. The model is formulated as a simulation-based optimization model. A case study of a pulp mill in Northwestern Ontario shows that supply and demand uncertainty causes a net annual loss of $59.9 million to the pulp mill, whereas the introduction of a merchandizing yard in the supply chain not only absorbs shocks caused due to uncertainty, but also increases the net annual profit of the pulp mill to $26.7 million. However, the merchandizing yard is viable only if the sales price of pulp is above a threshold level. The integrated supply chain model can be applied to any forest products industry as it considers the entire supply chain structure and manages all business decisions both upstream and downstream in the supply chain.

Suggested Citation

  • Shashi Shahi & Reino Pulkki & Mathew Leitch & Christopher Gaston, 2017. "Optimal production-inventory model for forest products industry supply chain under demand and supply uncertainty: Case study of a pulp mill in Ontario," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1370765-137, January.
    • Handle: RePEc:taf:oabmxx:v:4:y:2017:i:1:p:1370765
    DOI: 10.1080/23311975.2017.1370765
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    References listed on IDEAS

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    1. Carlsson, Dick & Ronnqvist, Mikael, 2005. "Supply chain management in forestry--case studies at Sodra Cell AB," European Journal of Operational Research, Elsevier, vol. 163(3), pages 589-616, June.
    2. Michael C. Fu, 2002. "Feature Article: Optimization for simulation: Theory vs. Practice," INFORMS Journal on Computing, INFORMS, vol. 14(3), pages 192-215, August.
    3. Andrés Weintraub & Carlos Romero, 2006. "Operations Research Models and the Management of Agricultural and Forestry Resources: A Review and Comparison," Interfaces, INFORMS, vol. 36(5), pages 446-457, October.
    4. Ganeshan, Ram, 1999. "Managing supply chain inventories: A multiple retailer, one warehouse, multiple supplier model," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 341-354, March.
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    Cited by:

    1. Pereira, Daniel Filipe & Oliveira, José Fernando & Carravilla, Maria Antónia, 2020. "Tactical sales and operations planning: A holistic framework and a literature review of decision-making models," International Journal of Production Economics, Elsevier, vol. 228(C).

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