Abstract
Supply Chain Contracts (SCC) have emerged as an innovative approach to managing uncertainties in project environments. This study presents the development of link sampling plans integrated with SCC using the simulation software GoldSim (14.0) and the proposed plans are designed based on lognormal distribution. The optimal sampling parameters are obtained by minimizing the sample size while maintaining the desired level of quality control. Comprehensive tables are presented to assist in selecting appropriate link sampling plan parameters for various proportions of defectives. Additionally, illustrative examples demonstrate the practical application of the proposed plans, providing clear guidance for implementation.