This paper evaluates whether integrated lean implementation across supply chain drivers can improve cold-chain supply network effectiveness more than partial lean improvements. The study uses Almarai Company as a public-source-informed case context because its public reporting describes a large food and dairy cold-chain network with plants, depots, vehicles, outlets, suppliers, and sustainability priorities. The study does not claim access to internal Almarai operating data. Instead, public sources define the case boundary, and a normalized Monte Carlo simulation compares three scenarios: a baseline proxy, a partial lean improvement scenario, and an integrated lean improvement scenario. The model links lean practices to six supply chain drivers: facilities, inventory, transportation, information, sourcing, and pricing. Performance is evaluated through total cost, lead time, service level, stockout rate, waste rate, inventory turnover, and responsiveness. The simulated results show that integrated lean improvement produces stronger network-level benefits than partial lean improvement. A sensitivity analysis further tests demand and lead-time changes to examine whether the integrated scenario remains robust under operating stress. The contribution is a driver-based simulation framework that converts a general lean supply chain idea into a measurable conference paper for temperature-sensitive food supply networks.

Keywords

Integrated lean, Cold chain, Supply chain drivers, Public-source simulation, Almarai.