Given a hierarchical plan (or schedule) with uncertain task times, we may need to determine the probability that a given plan will satisfy a given deadline. This problem is shown to be NPhard for series-parallel hierarchies. We provide a polynomial-time approximation algorithm for it. Computing the expected makespan of an hierarchical plan is also shown to be NP-hard. We examine the approximati...

Panicle caterpillars comprise an economically important insect pest complex of sorghum throughout the Great Plains of the United States, particularly in Kansas, Oklahoma, and Texas. The sorghum panicle caterpillar complex consists of larvae of two polyphagous lepidopteran species: the corn earworm, Helicoverpa zea (Boddie), and fall armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noc...

In this paper, we propose a Multiple Dependent State Sampling (MDSS) plan for decision-making on lot acceptance/rejection based properties of current and preceding lots sampled. The uses the Odd Log-Logistic Generalized Exponentiated (OLLGE) distribution to determine median life product through truncated-time test. Optimal parameters such as sample size, numbers, are obtained using operating ch...

Chain sampling plan for Log Logistic distribution when the life-test is truncated at a prespecified time is discussed. The design parameters such as the minimum sample size and the acceptance number necessary to assure a specified mean life time are obtained by satisfying the producer’s and consumer’s risks at the specified quality levels, under the assumption that the termination time and the ...

In this paper, we presented an optimal iterative decision rule for minimizing total cost in designing a sampling plan for machine replacement problem using the approach of dynamic programming and Bayesian inferences. Cost of replacing the machine and cost of defectives produced by machine has been considered in model. Concept of control threshold policy has been applied for decision making. If ...

Multiple deferred state (MDS) sampling plan by attribute in which current lot and future lots information is utilised on sentencing submitted lot, is constructed under the assumption of perfect inspection. But sometimes the inspection may not be free of inspection errors. In this paper, we develop MDS-plan by attribute to the state where misclassification errors exist during the inspection. In ...