Paying skilled professionals to massage, scrub, and manipulate data is a huge waste of valuable resources. And while having clean data is essential to driving Six Sigma projects, the act of getting that data adds absolutely no business value. That’s why organizations that focus first on making accurate, actionable data available in real time have more effective Six Sigma programs.
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It can be a real problem keeping prices competitive when manufacturing costs are soaring. Over-pack and giveaway can be a huge drain on company profits. However, real-time weight control software can pay tremendous dividends if implemented properly. Integrating a weight control database into an existing system can reduce errors, “fool-proof” data collection, and shift the system from reactive to proactive.
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A modern weight control system must support data entry from humans, as well as direct acquisition from weigh scales and devices. However, it cannot operate as a stand-alone point solution. It must span geographic space, hosting data from multiple lines and even divisions. And because of the proliferation of co-packers, it must sometimes even span company boundaries.
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Understanding process variation is vital—not only in manufacturing industries, but in transactional environments as well. That’s why the tools you use to understand the root cause of common cause variations need to be both powerful and easy to use, whether you’re measuring variations in sales performance, wait times in hospital emergency rooms, or cycle times for order fulfillment.
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Most people recognize that a robust control phase is the key practice separating Six Sigma from other process control methodologies. Unfortunately, many Six Sigma programs do not practice a robust control phase—with the result that old habits take over, and improvements gradually degrade. Worse, nobody even knows it happened! Why would well-intentioned people allow this to happen?
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