The bulk agricultural processing industry has garnered increasing attention in operations management research due to its unique operational characteristics and associated challenges. Compared to traditional manufacturing sectors, this industry exhibits three distinctive features:
Dual Commodity Nature: Both raw agricultural inputs (e.g., fresh palm fruit, soybeans, sugarcane) and processed outputs (e.g., palm oil, soybean oil, white sugar) are tradable commodities with active spot markets.
Price Volatility: Spot prices for both inputs and outputs demonstrate high uncertainty and strong correlation.
Hybrid Sourcing: Processors typically combine spot market purchases with long-term contracts to secure raw materials.
Research Focus
Dr. Li Bin's study addresses the multi-source contract procurement strategies of bulk agricultural processors, specifically examining how price correlation between input and output commodities influences:
Methodological Innovation
The research develops a two-stage stochastic programming model :
Planning Stage: The processor determines reservation quantities under two Quantity Flexibility Contracts (QFCs), each defined by reservation and execution costs.
Execution Stage: After spot price realization, the processor decides:
Key Findings
Procurement Behavior:
Hedging Effectiveness:
Industry Validation:
Practical Implications
The study offers actionable insights for:
✓ Designing flexible contract terms in volatile markets
✓ Balancing spot/contract procurement portfolios
✓ Managing cross-commodity price risks
Publication Details
Journal: Naval Research Logistics (December 2024, Online)
Author: Li Bin (Sole Author)

Funding: National Natural Science Foundation of China
DOI: 10.1002/nav.22236
Office of Scientific Research and Discipline Development
Edited by: Song Lan
Reviewed by: Liu Yanqing