Minimizing the slowdown (expected sojourn time divided by job size) is a key concern of fairness in scheduling and queuing problems where job sizes are very heterogeneous. We look for protocols (service disciplines) capping the worst slowdown a job may face no matter how large (or small) the other jobs are. We call this worst slowdown the liability of the job in question. In the scheduling prob...

The proliferation of just-in-sequence (JIS) deliveries has raised the vulnerability of assemblies to costly production stoppages or rework due to missing components. Through a comprehensive real-time supply chain monitoring systems, these supply issues can be detected early and affected orders removed from planned assembly sequences in time to avoid production disturbances. Using simulation ana...

We present a new algorithm based on Dual Graph Contraction (DGC) to transform the Run Graph into its Minimum Line Property Preserving (MLPP) form which, when implemented in parallel, requires O(log(longestcurve)) steps. A MLPP graph of a line image compliments the structural information in geometric graph representations like the run graph. Using such a graph and its dual, line image analysis s...

We study the scheduling problem of minimizing the maximum starting time on-line. The goal is to minimize the last time that a job starts. We show that while the greedy algorithm has a competitive ratio of (logm), we can give a constant competitive algorithm for this problem. We also show that the greedy algorithm is optimal for resource augmentation in the sense that it requires 2m 1 machines t...

Mixed-model assembly lines are increasingly accepted in many industrial environments to meet the growing trend of greater product variability, diversification of customer demands, and shorter life cycles. In this research, a new mathematical model is presented considering balancing a mixed-model U-line and human-related issues, simultaneously. The objective function consists of two separate com...

The paper presents a model of risk analysis dumper operation with the aim determining most common reason for unplanned stoppages, as well as, after classifying stoppages by system, to evaluate them from aspect risk. set criteria are: time spent in downtime, frequency downtime and level danger. results research indicated causes high on observed machines, basis which priority preventive maintenan...

www.thoracic.org C LI P A N D C O P Y What is Sleep Disordered Breathing (SDB)? SDB is a general term used to describe various different abnormalities in breathing pattern which occur during sleep, including obstructive and central sleep apnea. Obstructive sleep apnea (OSA) is a common disorder which affects roughly 10% of the US population and approximately 1/3 of people with congestive heart ...

This paper addresses a multi-objective mathematical model for the mixed-model two-sided assembly line balancing and worker assignment with different skills. In this problem, the operation time of each task is dependent on the skill of the worker. The following objective functions are considered in the mathematical model: (1) minimizing the number of mated-stations (2), minimizing the number of ...

When the manufacturing industry is dealing with information technology, it has to face a large number of parameters and frequent adjustments. This study proposed artificial intelligence models find out hidden rules behind customized labels, through data processing model building. Model parameter experiments are used improve effectiveness models, method cyclic testing adopted increase diversity ...