INFORMATION
TECHNOLOGY
Information
consists of all the recorded quantitative (i.e., numerical) and
qualitative (i.e., comments, perceptions, notes) data. Information
can be recorded in a variety of forms, including computer, Rolodex
cards, or various file folders. In its scope, information contains a
great variety of data. In it, we can find schedules (what is to be
run, where, when, and in what quantity), cost standards, product
designs, forecasts, routings (what equipment we will use to build an
order and the sequence in which the equipment is needed), inventory
records, time standards, past historical demands, capacity levels,
and product data (e.g., planned leads)—to name a few example of
information. Information can be viewed as the life blood of any
company. Nothing can be made or planned without information. The
information needed must exist somewhere, if we are to build to
schedule (even if it is in someone's head).
Information not
only represents a base on which we, as operations managers, can plan
current and future activities, it also represents a base on which
learning, either at the individual or corporate level, can take
place. With information, we can record our past experiences.
Increasingly, we now recognize that with the proper uSe of
information, we can reduce our reliance on buffers in the form of
excess inventory (safety stock), lead time (safety lead time), or
capacity (safety capacity). Furthermore, information's power is
greatly enhanced when it is shared with the partners in the supply
chain.
Increasingly, firms are realizing that good informa
ion (coupled with
the ability to effectively and efficiently store and retrieve) is
among the most valuable resources they own.
Firms are now
struggling to implement such new information systems as enterprise
resources planning (ERP), supply chain scheduling systems, advanced
planning systems (APS), and manufacturing execution systems (MES).
These systems represent significant investments of time, resources,
and money. Firms are implementing these systems because they realize
that their firms must be better at managing the information
resource and of using the capabilities offered by this resource to
enhance their abilities to deliver superior value to their
customers. However, one lesson that many firms are now learning is
that the challenge of implementing such systems is a massive
undertaking and one that should not be undertaken lightly.
TIME-COMPRESSION
STRATEGIES
Increasingly, the
modern manager is living in a world where speed is of the essence.
We are starting to loam that there is value in designing and
delivering products and services in shorter time periods. However,
most managers find it difficult to deal in the world of reduced lead
times. In many cases, the response of managers to the demand of this
new environment is that of taking existing approaches and placing
them under greater pressure (the brute force approach). Such an
approach only works for a short period of time. Ultimately, if we
are to succeed, we need to develop new strategies. These strategies
underlie such approaches as the kaizen event. The following are the
most important of these strategies:
• Less of/system
simplification. This first value strategy is built around the simple
premise that value is a direct result of processes. To enhance the
value generated by this process, it is necessary that the process be
documented and analyzed and any non-value-adding steps be
eliminated, rethought, or repositioned.
• As one/system integration. This strategy is based on the view that
the ability of any system to reduce lead time is seriously
compromised when activities are sequentially arranged. Sequential
processes require more lead time. Second, strong barriers between
functional areas often become "black holes" where orders or designs
become lost or misplaced. Third, functional barriers may delay
revisions in a sequential process and raise the cost of
implementing them. System integration often works to improve a
firm's organizational structure and information sharing. By
bringing together the critical parties both from within and without
the firm (e.g., customers and/or suppliers), this strategy tries to
ensure that all of the needed information is made available from the
outset. The results are better designs and better carried out
actions—all of which reduce time and increase value.
• Same as/standardization. Instead of treating each task in a
process or each part in a product as unique, the "same
as/standardization" strategy tries to make use of steps or parts
that are common or standard. Standard processes eliminate the
problem of designing a new product and learning or developing a new
process. Instead, people work with a familiar process, freeing their
attention to focus on designing the product within the context of
the standard process. Our customers do not want to pay us to
reinvent the wheel. They want to have quality products that meet
their needs, provided in a timely and cost-effective manner.
Similarly, people working with standard process can respond to each
order in the same way, reducing lead time and increasing
predictability.
• At once/parallel activities. Unlike the other strategies, the "at
once/ parallel activities" strategy focuses on the sequence of tasks
in a process. In any process, tasks can appear either within or
outside the critical path, the sequence of activities that define
the minimum lead time needed to complete a task or project. Adding
an activity to this path always increases lead times, but one can
reduce lead times by moving any activity off the critical path so
that it occurs at the same time as, or in parallel with, the
remaining activities on the critical path.
• Watch it/variance control. This strategy focuses primarily on the
predictability of the process. It attempts to reduce waste and lead
times by identifying activities or tasks with the highest levels of
variance, measured by dispersion or spread in observed data. High
variances characterize an unpredictable process. Managers often
respond to the problems created by high variability by stretching
lead times to buffer or protect the system. Variance control
identifies tasks with the highest variance and examines them to
uncover the reasons for the variance.
• Not here/focus on core competencies. This strategy recognizes that
no firm can excel in all dimensions. In other words, we cannot do
all things equally well. As a result, we should focus on those
things or activities that we do well (or in which we have a
competitive advantage) and turn to others (specifically our
suppliers) to provide the activities or products in those areas that
are not strengths for us.
• Better than/automation. This strategy tries to enhance value and
reduce waste by replacing older, less efficient procedures and
technologies with newer, more efficient ones. This strategy is
based on two important assumptions: (1) that new technologies are
inherently better and take less time, and (2) that problems with
lead times result primarily from technology rather than process
characteristics. The introduction of new technology or automation
may or may not change the processes that use the technology.
• More of/excess resources. This strategy assumes that problems
occur because of resource constraints as orders must compete for
access to scarce resources such as workers, machines, tools, or
material. Two fairly simple actions can reduce these delays. First,
the firm can introduce new resources, in the form of additional
labor, unused machine capacity, and inventory. Most firms deploy
such new resources at bottleneck sites, areas where resource
shortages constrain process flows. A second excess resources
response affects human resources by developing a highly skilled,
cross-trained work force. Such workers can more easily accommodate
variations in product mix or workload.
To Be Continued
For balance of this article, click on the below link:
Lean Manufacturing Articles and go to Series 1