Random yield and uncertain demand in decentralised supply chains under the traditional and VMI arrangements

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. Both random yield and uncertain demand are common occurrences in the semiconductor industry. This paper studies a decentralised supply chain comprised of a single manufacturer and a single distributor for a short life-cycle product with random yield and uncertain demand. We analyse two alternatives for doing business. One alternative is the traditional supply chain arrangement, where the distributor is fully responsible for the inventory decision whereas the manufacturer is fully responsible for the production decision. The other alternative is the vendor-managed-inventory (VMI) arrangement, where the manufacturer (vendor) is fully responsible for the entire production and inventory decisions in the supply chain. We characterise the optimal production and inventory decisions under both arrangements. We also compare the individual firms and supply chain performance under the traditional and VMI arrangements. Our results provide insights into how firms can choose the right supply chain arrangement to improve supply chain efficiency.