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PurposeIn the global economy, vendor‐managed inventory (VMI) is gradually becoming an important element of supply chain management strategy of organizations. Recently, Indian industries, both large and small, have started adopting VMI for their supply chains. The purpose of this paper is to investigate apparent differences among large and small industries in terms of objectives, drivers, obstacles and impacts of VMI in Indian context.Design/methodology/approachA survey was conducted to examine organizational objectives, strategic drivers, obstacles and affected operations pursuant to VMI adoption. By reviewing the literature, four hypotheses were formed and tested from the responses.FindingsIt is observed that both large and small industries in India have started adopting VMI for improving the business performance. Results clearly indicate that adoption factors are different in large and small industries.Originality/valueThe paper explores current practices with respect to VMI in Indian industries. The analysis would be useful for the developing VMI adoption strategies in Indian context.

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Vendor-managed inventory (VMI) is a widely used collaborative inventory management policy in which manufacturers manages the inventory of retailers and takes responsibility for making decisions related to the timing and extent of inventory replenishment. VMI partnerships help organizations to reduce demand variability, inventory holding and distribution costs. This study provides empirical evidence that significant economic benefits can be achieved with the use of a genetic algorithm (GA) based decision support system (DSS) in a VMI supply chain. A two-stage serial supply chain in which retailers and their supplier are operating VMI in an uncertain demand environment is studied. Performance was measured in terms of cost, profit, stock-outs and service levels. The results generated from GA-based model were compared to traditional alternatives. The study found that the GA-based approach outperformed traditional methods and its use can be economically justified in small and medium sized enterprises (SMEs)..