Integrating operational planning decisions throughout the forest products industry supply chain under supply and demand uncertainty. Issue 1 (2nd January 2018)

• Record Type: Journal Article
• Authors: Shahi, Shashi; Pulkki, Reino; Leitch, Mathew; Gaston, Christopher
• Is Part Of: International journal of forest engineering. Volume 29:Issue 1(2018)
• Page Start: 1
• Page End: 11
• Publication Date: 2018-01-02
• Subjects: Inventory management -- merchandizing yard -- metaheuristics -- stochastic market demand -- supply chain management; Forestry engineering -- Periodicals; Génie forestier -- Périodiques; Forestry engineering; Periodicals; 634.905
• DOI: 10.1080/14942119.2017.1371544
• Languages: English
• ISSNs: 1913-2220

Abstract

ABSTRACT: In the face of both supply and demand uncertainty, the forest products industry needs advanced supply chain management models that can significantly improve their competitiveness in global markets. This paper aims to provide a decision support tool for integrating operational planning decisions with inventory management of all agents in a multi-product forest industry supply chain under supply and demand uncertainty. A pulp mill is considered as the nodal agent and an integrated simulation-based optimization model is developed, which minimizes the cost of the entire supply chain for different customer satisfaction levels, while material and information flow both upstream and downstream of the pulp mill. The incorporation of a merchandizing yard helps in managing risks associated with supply and demand uncertainty in the forest products industry supply chain. There is a net annual cost saving of $17.4 million by including a merchandizing yard in the supply chain. However, there is an increase in handling, holding and transportation costs. Comparing the shortage cost to the handling, holding and transportation costs, it is observed that as long as the shortage cost is above $6.80 per m 3, it is viable to keep the merchandizing yard. The merchandizing yard not only absorbs supply shocks for the pulp mill, but also reduces the safety stocks on the downstream side. This integrated supply chain model can be used for operational planning decisions that minimize overall cost for any agent in the supply chain.