Outsourcing Service Processes to a Common Service Provider under Price and Time Competition (original) (raw)
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We consider a three-tier supply chain consisting of an original equipment manufacturer (OEM), a contract manufacturer (CM) and a supplier. We analyze and compare three outsourcing structures that are currently implemented by top-tier OEMs: (1) inhouse consignment, under which the OEM signs independent contracts with the CM and the supplier; (2) turnkey with integration, under which the OEM contracts with an alliance of the CM and the supplier; and (3) turnkey, under which the OEM contracts with the CM, and the CM then subcontracts with the supplier. The OEM is a Stackelberg leader who decides how much of the end product to produce. All parties use take-it-or-leave-it wholesaleprice contracts. Both the CM and the supplier have private information about their own production costs. The OEM has prior information about these costs, but this prior information depends on the specific outsourcing structure. Each party's optimal decision is characterized. We then compare each party's profits across the three outsourcing structures and identify which benefits and when.
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Our research uses laboratory experiments to examine the theoretical results of competition between suppliers in an outsourcing setup. We consider a supply chain in which a single buyer needs to outsource the manufacturing of a product among N potential suppliers. The buyer allocates demand to suppliers not on the basis of price, but rather on service. We analyze the levels of service suppliers will decide to provide when competing on three different criteria specified by the buyer. For the first, suppliers compete by providing the buyer a specific service level (fill-rate), and for the second by maintaining a specific quantity of on-hand inventory. For the third criteria, suppliers compete based on a parameter designed to optimize the supply chain in favor of the buyer. Prior research and existing theory predict that the decisions will reach stability at the Nash equilibrium for all three types of competition. Theory also predicts these equilibrium points will be ordered, from competitions based on service level as the lowest and those based on the optimal criteria as the highest. Our experimental results show that the equilibrium points reached by subjects are in fact ordered as theory predicts. However, there are large and statistically significant differences between those equilibrium points and the theoretical predictions. Using the Quantal Response Equilibrium (QRE) we show that random errors can explain some of these discrepancies. Our analyses also suggest that, under optimal criteria for competition, other behavioral factors such as rival chasing and loss aversion can play an influential role.