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Strategic Supply Chain Management - Supply Chain Online

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62 <strong>Strategic</strong> <strong>Supply</strong> <strong>Chain</strong> <strong>Management</strong><br />

not be justified. By standardizing components to a greater degree, Motorola<br />

was able to greatly improve flexibility and sharply reduce inventory obsolescence<br />

and rework costs. 7<br />

Process and Systems Inconsistency<br />

A third driver of complexity is inconsistent processes and information systems<br />

throughout the supply chain. We often find that different locations<br />

within the same company have different, incompatible processes. Even<br />

when the same software package is installed, it’s often configured differently,<br />

in keeping with each location’s process. Inconsistency can result<br />

from acquisitions, but more typically it arises because companies are simply<br />

not aware of the benefits of a standard<br />

Inconsistency can<br />

result from<br />

acquisitions, but<br />

more typically it<br />

arises because<br />

companies are<br />

simply not aware of<br />

the benefits of a<br />

standard process<br />

architecture.<br />

process architecture—or haven’t invested<br />

the resources needed to create one.<br />

When different locations have different<br />

processes and systems, the company loses<br />

speed and efficiency and is less able to leverage<br />

knowledge across the organization. And<br />

each location means added investment and<br />

maintenance costs. Inconsistency also creates<br />

inflexibility. Work can’t be transferred<br />

among locations as demand shifts because<br />

each site works differently. Moreover, crosssite<br />

leverage in terms of shared back-office<br />

activities, such as strategic sourcing, is<br />

harder to achieve. Finally, process and information<br />

inconsistency makes it difficult to<br />

integrate with customers, suppliers, and<br />

other business partners.<br />

Overautomation<br />

The emergence of decision-making applications for supply chain planning<br />

and performance management has led to a new driver of supply chain<br />

complexity: overautomation. Overautomated processes are difficult to<br />

manage because the people who use them don’t completely understand<br />

how they work. Without this understanding, users can’t judge the quality<br />

of their output or improve their performance.<br />

<strong>Supply</strong> chain planning tools offer powerful functionality, but rules<br />

and algorithms need to be selected carefully, for these systems contain far<br />

more features than are needed by most organizations, with some func-

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