The cases above reflect the efforts of some
companies to manage around the shortcomings of their DRP systems.
In fact, that term is overly euphemistic; these companies are
actually managing despite those systems. Meanwhile, a few
leading companies are looking past the problem of reconciling
their DRP and finite capacity production scheduling systems,
toward replacing DRP with a more robust approach to distribution
management.
The new approach, master distribution
scheduling, is the outgrowth of two new realities: the
heightened need for better distribution management, and the recent
advances in information technology that are making it possible.
Certainly, today's marketplace places more
stringent demands than ever on manufacturers for service
excellence at competitive prices. And meeting these demands
profitably requires closer control of operating costs, and more
intelligent balancing of complex trade-offs. As these challenges
continue to mount, the limitations of DRP are becoming less and
less tolerable. Companies at the operational cutting edge
realize they need a replacement for DRP that can:
• Implement pull strategies, push strategies, or a
combination of both.
• Respond to a variety of demand specifications according
to demand priority.
• Allocate short supplies globally, according to demand
priority.
• Position unwanted supplies until they are needed, so as
to minimize future transshipments.
• Determine precisely when and how stock rebalancing should
occur.
• Override customary sources of supply, as required, to
meet pressing demands.
• Create schedules that adhere to resource restrictions,
such as storage and handling capacity limitations.
• Provide sophisticated inventory management by determining
how to maintain safety stock and target inventory levels.
• Respond automatically to backorders, according to demand
priority and age of backorder.
• Support problem description changes and
iv/!a?-j/evaluations.
Needs such as these are more pressing now than
in the past, but certainly are not new; the same basic wish list
might have been constructed by a visionary distribution planner a
decade ago. What is new, however, is the decision-support
technology capable of attacking these issues. Only very recently
has the power of desktop computing reached the point—and the
cost of it fallen to the point—that it is viable to subject such
complex problems to mathematical optimization techniques.
The companies who are in the vanguard of master
distribution scheduling are implementing such techniques now, and
are succeeding in obsoleting traditional distribution resource
planning. Their experience is summarized in Table 1, which
compares the capabilities of DRP systems with those of master
distribution scheduling.
|
Table 1. Master Distribution Scheduling Contrasted with
Traditional Distribution Resource Planning
based on the experience of current implementations
|
|
Critical Capabiltiy
|
Master Distribution Scheduling
|
Traditional DRP
|
|
Recognize demand priorities
|
Yes
|
No
|
|
Meet demands before maintaining safety stocks
|
Yes
|
No
|
|
Pull or push stock as required
|
Sophisticated pull and push as required
|
Simplistic pull
|
|
Dynamically source when appropriate
|
Yes
|
No '
|
|
Recognize storage and handling restrictions
|
Yes
|
No
|
|
Minimize avoidable operating costs
|
Yes
|
No
|
|
Allocate short supplies according to priority
|
Yes
|
No
|
|
Automatically propose rebalancing movements
|
Yes
|
No
|
|
Respond to backorders by priority and age
|
Yes
|
No
|
|
Break out production requirements into demand and safety
stock components
|
Yes
|
No (produces one requirement number)
|
|
User interface
|
Complete graphical user interface
|
Traditional text-based interface
|
|
Communicate with other applications
|
Immediate data exchange with other Windows applications
|
Traditional mainframe and microcomputer interface
problems
|
|
Hardware configuration
|
Designed for PC LAN client-server architecture
|
Traditional mainframe with dumb terminals
|
|
Summary
|
The established platform of the future
|
A rapidly fading traditional approach
|
The Leaders Are Proving It Works
The intense difficulty of designing and
implementing operational innovations like master distribution
scheduling makes seasoned managers refer to it as the
"bleeding edge." The joke can seem almost literally true
when information technology totally reengineers the way in which a
process is performed, and change reverberates through
organizations, job responsibilities, and policies and
procedures.
The leaders who are implementing master
distribution scheduling now are managing change intelligently, and
using the capability to empower their workforce—not replace it.
By automating many of the deployment and distribution scheduling
details, the new systems allow distribution decision-makers to do
more of what they do best—higher level planning and management.
The company sees an improvement in white-collar productivity,
and its managers find their work more engaging and satisfying.
At the same time, the benefits these companies
are realizing are offsetting many times over the investment in
implementation. In every case, higher and more consistent customer
service levels have been attained, at the same time that operating
costs have been cut dramatically. The bottom line is that,
compared to their competition, these companies do more with less.
They achieve
sophisticated customer response with lean
inventories and minimal expenditures for transportation,
storage, and handling.
Finally, these companies are probably not in danger of having a
"fleeting edge"; the advantage they hold should be
sustainable for more than the short term. Predictably, their
competitors are learning about the capability and can be expected
to follow suit. But the complexity of the problems involved and
the sophistication of the information technology required will
constitute a major stumbling block for most.
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