In this research, an analytical model for analyzing a production line consisting of a series
of automated workstations with infinite buffers is developed. Automated workstations are
assumed to have deterministic processing times, and independent exponentially
distributed operating time between failures and repair times. The analytical model starts
with existing results...
The research presented in this dissertation addresses the Multi-Mode Resource-Constrained Project Scheduling Problem (MMRCPSP) in the presence of resource unavailability. This research is motivated by the scheduling of engineering design tasks in automotive product development to minimize the project completion time, but addresses a general scheduling situation that is applicable...
This study presents the results of using common two or three-parameter "default" distributions in place of "best fit distributions" in simulations of serial production lines with finite buffers and blocking. The default distributions used instead of the best-fit distribution are chosen such that they are non-negative, unbounded, and can match...
The optimal allocation of buffers in serial production systems is one of the oldest and most researched problems in Industrial Engineering. In general, there are three main approaches to the buffer allocation problem when the objective is to maximize throughput. The first is basically a systematic trial and error procedure...
One of the classic problems in industrial engineering is the buffer allocation
problem. The objective of the buffer allocation problem is to maximize some line
output, typically throughput, through the allocation of buffers throughout the
production line. Previous work in this area has focused on either determining
general design rules...
Missing data can lead to biased and inefficient estimation if the missing mechanism is not taken into account in the analysis. In this dissertation we propose two estimators that, under fairly general conditions, are asymptotically unbiased. The first proposed estimator assume the data are missing at random (MAR) and does...
For data following a balanced mixed Anova model, the standard Anova method typically leads to exact F tests of the usual hypotheses about fixed effects. However, for most unbalanced designs with most hypotheses, the Anova method does not produce exact tests, and approximate methods are needed. One approach to approximate...
Statisticians often focus on sampling or experimental design and data analysis while paying less attention to how the response is measured. However, the ideas of statistics may be applied to measurement problems with fruitful results. By examining the errors of measured responses, we may gain insight into the limitations of...
Scientists and land managers realize that integrated weed management (IWM) strategies are needed to attain successful and lasting improvements of weed infested landscapes. At this time no broadly reliable and environmentally safe IWM strategy has been developed to control exotic annual grasses that dominate many ecosystems of the northern Great...
There is growing interest in using nutrient manipulations to control invasive
plants such as Brornus lectorurn L. (cheatgrass). Both labile (sucrose) and recalcitrant
(straw and sawdust) carbon sources are added to the soil surface to reduce plant
available soil N via soil microbial immobilization. However, the application rates
used in...