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Cost Accounting (14th Edition)

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QUALITY AS A COMPETITIVE TOOL 677<br />

Number of Times Defect Observed<br />

700<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

Copies are<br />

fuzzy and<br />

unclear<br />

Copies are<br />

too light<br />

or too<br />

dark<br />

Paper<br />

gets<br />

jammed<br />

Copies<br />

are not<br />

square<br />

on<br />

page<br />

Toner is<br />

smudged<br />

on page<br />

Paper<br />

is not<br />

feeding<br />

properly<br />

Exhibit 19-4<br />

Pareto Diagram for<br />

Photocopying<br />

Machines at Photon<br />

Corporation<br />

Type of Defect<br />

cause-and-effect diagram describing potential reasons for fuzzy and unclear copies. The<br />

“backbone” of the diagram represents the problem being examined. The large “bones”<br />

coming off the backbone represent the main categories of potential causes of failure. The<br />

exhibit identifies four of these: human factors, methods and design factors, machinerelated<br />

factors, and materials and components factors. Photon’s engineers identify the<br />

materials and components factor as an important reason for the fuzzy and unclear<br />

copies. Additional arrows or bones are added to provide more-detailed reasons for each<br />

higher-level cause. For example, the engineers determine that two potential causes of<br />

material and component problems are variation in purchased components and incorrect<br />

component specification. They quickly settle on variation in purchased components as<br />

the likely cause and focus on the use of multiple suppliers and mishandling of purchased<br />

parts as the root causes of variation in purchased components. Further analysis leads<br />

them to conclude that mishandling of the steel frame that holds in place various components<br />

of the copier such as drums, mirrors, and lenses results in the misalignment of these<br />

components, causing fuzzy and unclear copies.<br />

The analysis of quality problems is aided by automated equipment and computers<br />

that record the number and types of defects and the operating conditions that existed<br />

at the time the defects occurred. Using these inputs, computer programs simultaneously<br />

and iteratively prepare control charts, Pareto diagrams, and cause-and-effect diagrams<br />

with the goal of continuously reducing the mean defect rate, μ, and the standard<br />

deviation, .<br />

Poor training<br />

New operator<br />

Inadequate<br />

supervision<br />

Human Factors<br />

Flawed<br />

part design<br />

Incorrect<br />

manufacturing<br />

sequence<br />

Methods and<br />

Design Factors<br />

Exhibit 19-5<br />

Cause-and-Effect<br />

Diagram for Fuzzy and<br />

Unclear Photocopies at<br />

Photon Corporation<br />

Poor maintenance<br />

Multiple suppliers<br />

Poorly<br />

machined parts<br />

Incorrect speed<br />

Inadequate<br />

measurement<br />

tools<br />

Machine-Related<br />

Factors<br />

Variation<br />

in purchased<br />

components<br />

Mishandling<br />

of purchased<br />

parts<br />

Incorrect<br />

component<br />

specification<br />

Materials and<br />

Components Factors

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