We address how to configure the supply chain for a new product for which the design has already been decided. The central question is to determine what suppliers, parts, processes, and transportation modes to select at each stage in the supply chain. There might be multiple options to supply a raw material, to manufacture or assemble the product, and to transport the product to the customer. Each of these options is differentiated by its lead time and direct cost added. Given these various choices along the supply chain, the configuration problem is to select the options that minimize the total supply chain cost. We develop a dynamic program with two state variables to solve the supply chain configuration problem for supply chains that are modeled as spanning trees. We illustrate the problem and its solution with an industrial example. We use the example to show the benefit from optimization relative to heuristics and to form hypotheses concerning the structure of optimal supply chain configurations. We conduct a computational experiment to test these hypotheses.

Multiattribute auctions extend traditional auction settings to allow negotiation over nonprice attributes such as weight, color, and terms of delivery, in addition to price and promise to improve market efficiency in markets with configurable goods. This paper provides an iterative auction design for an important special case of the multiattribute allocation problem with special (preferential independent) additive structure on the buyer value and seller costs. Auction Additive&Discrete provides a refined design for a price-based auction in which the price feedback decomposes to an additive part with a price for each attribute and an aggregate part that appears as a price discount for each supplier. In addition, this design also has excellent information revelation properties that are validated through computational experiments. The auction terminates with an outcome of a modified Vickrey-Clarke-Groves mechanism. This paper also develops Auction NonLinear&Discrete for the more general nonlinear case—a particularly simple design that solves the general multiattribute allocation problem, but requires that the auctioneer maintains prices on bundles of attribute levels.

Using an unusually comprehensive database on 858 transactions for information technology products and accompanying services, we study how close partners who are exposed to opportunistic hazards structure and control a significant transaction. We analyze data on the terms of contracting to determine whether transaction and supplier characteristics that generate opportunistic hazards are related to the formal management control structure. We also examine whether misalignment between transaction and supplier characteristics and the control structure is associated with ex post performance problems. Characteristics associated with hazards are found to be positively related to contract extensiveness. Factor analysis of the use of 24 contract terms reveals four groups of contract terms that are commonly used in combination. We interpret these factors as “dimensions of management control” and label them: assignment of rights, product and price, after-sales service, and legal recourse. Characteristics associated with hazards are positively related to the use of all four dimensions of management control, with different hazards associated with different controls. We then examine the relation between transaction characteristics and ex post transaction problems, demonstrating that even in the presence of mutually agreeable contracts, hazards remain. We conclude that costs of contracting are associated with increased use of contract terms on assignment of rights, after-sales service, and legal recourse. Finally, we present evidence that management control structures that are better aligned with transaction hazards mitigate subsequent performance problems, though at a nontrivial cost of contracting.