Strategy

Stochastic Economic Lot Scheduling Problems (ELSPs) involve settings where several items need to be produced in a common facility with limited capacity, under significant uncertainty regarding demands, unit production times, setup times, or combinations thereof. We consider systems where some products are made-to-stock while another product line is made-to-order. We present a rich and effective class of strategies for which a variety of cost and performance measures can be evaluated and optimized efficiently by analytical methods.

This paper deals with Markov decision processes with a countable state space. We demonstrate that a single, relatively simple condition suffices to guarantee that the value-iteration method converges and that an optimal policy can be computed via this method, once the existence of a solution to the average cost optimality equation has been established via any of the many available sets of existence conditions.

This paper extends the classic two-armed bandit problem to a many-agent setting in which N players each face the same experimentation problem. The main change from the single-agent problem is that an agent can now learn from the current experimentation of other agents. Information is therefore a public good, and a free-rider problem in experimentation naturally arises.

We provide a simple binomial framework to value American-style derivatives subject to trading restrictions. The optimal investment of liquid wealth is solved simultaneously with the early exercise decision of the nontraded derivative. No-short-sales constraints on the underlying asset manifest themselves in the form of an implicit dividend yield in the risk-neutralized process for the underlying asset. One consequence is that American call options may be optimally exercised prior to maturity even when the underlying asset pays no dividends.

Consumers make multi-category decisions in a variety of contexts such as choice of multiple categories during a shopping trip. While complementarity gives managers some control over consumers' buying behavior, co-occurrence or co-incidence is less controllable. Other acts that may affect multi-category choice may be household preferences or household demographics. Not accounting for these 3 factors simultaneously could lead to erroneous inferences.

Different theories, areas of substantive interest, and methods are needed to prevent consumer behavior from becoming increasingly isolated and of marginal relevance in market research. More progress will be made by focusing on relatively underresearched areas, such as: 1. focus on time, 2. the adaptive consumer, and 3. relevant dependent variables. Avenues for substantive focus include: 1. important decisions, 2. not just price and advertising, and 3. the impact of major events. Issues that arise with respect to the methods used to study consumer behavior include: 1.

The following two articles, "Market Transparency: Who Wins and Who Loses?" by Robert Bloomfield and Maureen O'Hara and "Quote Disclosure and Price Discovery in Multipele Dealer FInancial Markets" by Mark D. Flood, Ronald Huisman, Kees G. Koedijk, and Ronald J. Mahieu are the first two experimental microstructure articles that the Review of Financial Studies (RFS) has published. We, the editors of the RFS, hope that they are not the last. Therefore I take the unconventional step of introducing the two articles.

We describe effective time partitioning heuristics for dynamic lot-sizing problems in multiitem and multilocation production/distribution systems. In a time-partitioning heuristic, the complete horizon of (say) N periods, is partitioned into smaller intervals. An instance of the problem is solved, to optimality, on each of these intervals, and the resulting solution coalesced into a solution for the complete horizon. The intervals are selected to be of a size which permits the use of exact and effective solution methods (e.g., branch-and-bound methods).