Demand for organic produce has expanded rapidly in response to increasing consumer awareness of health and environmental concerns. Despite this growth, small and medium-sized enterprise (SME) organic farms in Thailand continue to face significant operational and financial constraints in meeting demand in a sustainable manner. This study employs an integrated analytical framework combining the Theory of Constraints (TOC) and linear programming (LP) to optimize crop planning and resource allocation within an SME organic farming system. The analysis identifies land availability as the primary production bottleneck and evaluates alternative cropping strategies under varying demand scenarios. Results indicate that improved allocation of land and adjustments in planting schedules can enhance overall financial performance. However, profitability remains highly sensitive to demand conditions and seasonal resource constraints. Furthermore, the findings reveal that diversified crop portfolios may conceal inefficiencies, as profitable crops can offset losses from less viable ones, suggesting that diversification does not necessarily enhance resilience. This study contributes a practical decision-support approach for SME organic farmers to better align production decisions with market demand, improve economic performance, and promote long-term sustainability.
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