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546<br />

Part Four<br />

Improvement<br />

Figure 18.4 BPR advocates reorganizing (re-engineering) micro-operations to reflect the natural customer-focused<br />

business processes<br />

use quantitative methods (some of the TQM gurus promoted statistical process control for<br />

example) although it has done a lot to emphasize the use of quantitative evidence. In fact,<br />

much of the considerable training required by Six Sigma consultants is devoted to mastering<br />

quantitative analytical techniques. However, the statistical methods used in improvement<br />

activities do not always reflect conventional academic statistical knowledge as such. They<br />

emphasize observational methods of collecting data and the use of experimentation to<br />

examine hypotheses. Techniques include graphical methods, analysis of variance, and two-level<br />

factorial experiment design. Underlying the use of these techniques is an emphasis on the<br />

scientific method, responding only to hard evidence, and using statistical software to facilitate<br />

analysis.<br />

Customer-centricity<br />

There is little point in improvement unless it meets the requirements of the customers.<br />

However, in most improvement approaches, meeting the expectations of customers means<br />

more than this. It involves the whole organization in understanding the central importance<br />

of customers to its success and even to its survival. Customers are seen not as being external<br />

to the organization but as the most important part of it. However, the idea of being customercentric<br />

does not mean that customers must be provided with everything that they want.<br />

Although ‘What’s good for customers’ may frequently be the same as ‘What’s good for the<br />

business’, it is not always. Operations managers are always having to strike a balance between<br />

what customers would like and what the operation can afford (or wants) to do.<br />

Systems and procedures<br />

Improvement is not something that happens simply by getting everyone to ‘think improvement’.<br />

Some type of system that supports the improvement effort may be needed. An<br />

improvement system (sometimes called a ‘quality system’) is defined as:<br />

‘the organizational structure, responsibilities, procedures, processes and resources for implementing<br />

quality management’. 4<br />

It should<br />

‘define and cover all facets of an organization’s operation, from identifying and meeting the<br />

needs and requirements of customers, design, planning, purchasing, manufacturing, packaging,

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