The health care industry and tqm essay

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The health care industry and tqm essay

Thompson — Frank B. Emerson did not meet Taylor until Decemberand the two never worked together. By Januarya leading railroad journal began a series of articles denying they were inefficiently managed. Congressional investigations followed, resulting in a ban on the use of time studies and pay premiums in Government service.

In management literature today, the term "scientific management" mostly refers to the work of Taylor and his disciples "classical", implying "no longer current, but still respected for its seminal value" in contrast to newer, improved iterations of efficiency-seeking methods.

Today, task-oriented optimization of work tasks is nearly ubiquitous in industry. Pursuit of economic efficiency[ edit ] Flourishing in the late 19th and early 20th century, scientific management built on earlier pursuits of economic efficiency.

While it was prefigured in the folk wisdom of thriftit favored empirical methods to determine efficient procedures rather than perpetuating established traditions.

There is a fluid continuum linking scientific management with the later fields, and the different approaches often display a high degree of compatibility. Taylor rejected the notion, which was universal in his day and still held today, that the trades, including manufacturing, were resistant to analysis and could only be performed by craft production methods.

In the course of his empirical studies, Taylor examined various kinds of manual labor.

The health care industry and tqm essay

For example, most bulk materials handling was manual at the time; material handling equipment as we know it today was mostly not developed yet. He looked at shoveling in the unloading of railroad cars full of ore ; lifting and carrying in the moving of iron pigs at steel mills; the manual inspection of bearing balls ; and others.

He discovered many concepts that were not widely accepted at the time. For example, by observing workers, he decided that labor should include rest breaks so that the worker has time to recover from fatigue, either physical as in shoveling or lifting or mental as in the ball inspection case.

Workers were allowed to take more rests during work, and productivity increased as a result. Graham ; and other theorists, such as Max Weber. Soldiering[ edit ] Scientific management requires a high level of managerial control over employee work practices and entails a higher ratio of managerial workers to laborers than previous management methods.

Such detail-oriented management may cause friction between workers and managers. Taylor observed that some workers were more talented than others, and that even smart ones were often unmotivated.

He observed that most workers who are forced to perform repetitive tasks tend to work at the slowest rate that goes unpunished. This slow rate of work has been observed in many industries and many countries [11] and has been called by various terms. He therefore proposed that the work practice that had been developed in most work environments was crafted, intentionally or unintentionally, to be very inefficient in its execution.

He posited that time and motion studies combined with rational analysis and synthesis could uncover one best method for performing any particular task, and that prevailing methods were seldom equal to these best methods.

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In contrast, some later adopters of time and motion studies ignored this aspect and tried to get large productivity gains while passing little or no compensation gains to the workforce, which contributed to resentment against the system. The ideas and methods of scientific management extended the American system of manufacturing in the transformation from craft work with humans as the only possible agents to mechanization and automation, although proponents of scientific management did not predict the extensive removal of humans from the production process.

Concerns over labor-displacing technologies rose with increasing mechanization and automation.

The health care industry and tqm essay

By factoring processes into discrete, unambiguous units, scientific management laid the groundwork for automation and offshoringprefiguring industrial process control and numerical control in the absence of any machines that could carry it out.

Taylor and his followers did not foresee this at the time; in their world, it was humans that would execute the optimized processes. For example, although in their era the instruction "open valve A whenever pressure gauge B reads over value X" would be carried out by a human, the fact that it had been reduced to an algorithmic component paved the way for a machine to be the agent.

However, one of the common threads between their world and ours is that the agents of execution need not be "smart" to execute their tasks. In the case of computers, they are not able yet to be "smart" in that sense of the word ; in the case of human workers under scientific management, they were often able but were not allowed.

Once the time-and-motion men had completed their studies of a particular task, the workers had very little opportunity for further thinking, experimenting, or suggestion-making. They were forced to "play dumb" most of the time, which occasionally led to revolts.

The middle ground between the craft production of skilled workers and full automation is occupied by systems of extensive mechanization and partial automation operated by semiskilled and unskilled workers.

Such systems depend on algorithmic workflows and knowledge transferwhich require substantial engineering to succeed. Such engineering has governed most industrial engineering since then. It is also the essence of successful offshoring. The common theme in all these cases is that businesses engineer their way out of their need for large concentrations of skilled workers, and the high-wage environments that sustain them.

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This creates competitive advantage on the local level of individual firms, although the pressure it exerts systemically on employment and employability is an externality.In an era of soaring GNP, productivity, and discretionary income, many in business believed that for the good of the economy, people had to consume more and more, whether they wanted to or not.

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