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In this paper we analyze a quantitative genetic character which is controlled by both major genes and polygenes. Assuming that thare a m no rpistatic effects. DO linkage and no geneticenvironmental interactiona, we follow TAN and Chiao (1072) to derive the probability distributions for segregating populations. The numbere of major genes and polygmea, and the additive and dominance effects of major genes and polygeoes are then estimated by using the procedures developed in TAN and C~N O (1972) and the POWZLL-FLETCHER search procedure for maximum values. In thin paper, we consider the case involving data from P,, P1, F,. B, (Backcroas to P , ) and B2 (Backcroae to Pz) ns this type of experiment is common in praotical applications. The analyses are applied to a simulated model generated by using binomial, multinomial and normal variables and to the data of a n erperiment on kernel weight of sorghum plant provided to the authors by ProfeasorGEonor H. L. LWO of K.anaae S t a k University. The analysis of these data indicate cle~rly that the method derived in this paper is useful and desirable.

We have developed an event-driven algorithm for simulating a factory production line with storage. Using this algorithm a production line, with an arbitrary number of machines each processing items at different rates and with buffers of any size,can be modelled efficiently.The algorithm is based on computing the time to the next event for each buffer and machine, where the events are: a buffer becomes full, a buffer becomes empty, a machine fails,and a machine is repaired. By collapsing the production line to exclude empty buffers that stay empty and full buffers that stay full, piece-by-piece computation is avoided. Computation time is reduced further by updating a buffer only when the input or output rate of that buffer changes or when the state of that buffer changes. The implementation of this model is compared to a piece-by-piece simulator.

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Event Driven Model of an U n r e l i a b l e P r o d u c t i o n L i n e w i t h S t o r a g e