Optimal reorganization policies for stationary and evolutionary databases

Article Abstract:

A study is presented of the challenge of establishing the best reorganization procedures for databases which use file structures with overflow chaining. A stochastic control model which uses micro-level design parameters of the physical file structure is developed to address the dynamics of file performance guided by update transactions and reorganizations. Numerous assumptions are used and relaxed from past research, and polynomial time processes for finding solutions for the optimization model are established for two cases: when the file size evolves stochastically, and when the file size is unchanged. The model and the solution processes are then applied to an ISAM file. Research results indicate that the model and solution processes are effective.

Databases, Stochastic processes, Optimal stopping (Mathematical statistics), Computer files

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Joint determination of optimal inventory and quality control policy

Article Abstract:

A cost model is presented which combines a Bayesian quality control system with a fixed order quantity inventory control system. An algorithm is also presented to obtain the operating parameters of the combined systems. Costs and operating policies for the model that integrates the two systems are compared to a model that does not integrate the two systems. The cost model that combines the two systems achieves significant savings over the other model.

Management science, Quality control, Scheduling (Management), Inventory control

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Optimal inspection policy in sequential screening

Article Abstract:

The sequential screening process entails an item-by-item inspection of a production lot. A backward-recursive optimal algorithm is developed for the determination of inspection policy in such a screening process. The model is based on an Bayesian analysis of an optimal stopping problem and shows that the optimal policy may be given by a sequence of control limits. The model is considered more efficient than the existing optimal sampling algorithm.

Bayesian statistical decision theory, Bayesian analysis, Markov processes

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