Large Hospital Chain (with over 30 hospitals) : Optimizing Supply Chain process

A large Healthcare group with more than 30 hospitals and with over 10,000 beds had a decentralized supply chain process that was very cost inefficient. This transformation reduced the procurement costs by 7% and reduced the emergency purchases by 85%.

Business problem:

  • A large Healthcare group with more than 30 hospitals with over 10,000 beds has a decentralized supply chain with cost inefficiency. Same type of material procured for different prices by different units
  • High inventory levels resulting in frequent material expiry and inventory write off.
  • Inadequate controls resulting in pilferage and excess use by end users.
  • High procurement cycle time and more than 30% of purchase being emergency purchases.

 

Solution Approach:

  • Analyze the current operations against key impacting factors for operational excellence
  • Extensive data mining across the group and applying advanced analytics to develop predictive models.
  • Setting up centralized protocols and policies to streamline supply chain process, building a shared service center to service all hospitals in the group.
  • Inventory optimization, purchase process standardization, common guideline price, vendor list standardization, predictive models for demand prediction.

 

Key Outcome and benefits:

  • Procurement cost reduction of 7% across the group, with annualized saving of $ 2 million.
  • Enhanced controls and accurate inventory valuation.
  • Improved supply chain reliability and compliance to JCI standards.
  • Reduction in emergency purchase by 85%