A two-phased approach to setting due-dates in single machine job shops

This paper explores the characteristics of job flow time distributions resulting from the use of different priority rules via computer simulation and statistical analysis. Statistical analysis of results from phase I experimentation modeling traditional due-date setting practices are used to develop job flow time prediction models. In phase II simulation experiments, the regression models developed in phase I are used to establish due-date allowances to jobs based on their processing times. Forms of the prediction equations reveal the differences in resultant job flow distributions, and explain the underlying nature of interactions between due-date setting methods and shop performance characteristics of dispatching rules as reported in previous studies. Application of the prediction equations in phase II experimentation shows the viability of improving shop floor performance without resorting to looser due-dates.