Documents » twenty four hour observations admitted through ed for defined time frames.
Abstract: Card auditing and calculating takes a great deal of
time, particularly for companies using full-
time time-keepers to calculate and audit
time cards. If the
time cards are handwritten, it takes even more
time to review, calculate, edit, and (typically) re-enter the data into a payroll system. However, automation reduces audit
time by pre-processing punches against rules
defined within the system.
PubDate: 3/28/2007 2:36:00 PM
Abstract: Having seemingly paved a solid ground for its successor, it is likely that this time J.D. Edwards founder and CEO Ed McVaney might not have to come back from oblivion like in 2000
Abstract: No matter how sophisticated your ERP solution may be, the most critical factor in its success will be how well it handles exceptions--the seemingly quixotic mission of planning for the unplanned. These issues outside your established operational parameters can include supply, operational and demand exceptions, and can have a 'butterfy effect' on your enterprise--impacting customer service, purchasing, plant scheduling, shipping and accounting. How well you respond depends on four critical factors: The speed at which you identify these exceptions; how thoroughly you communicate them within your enterprise, the business rules you have in place to handle these exceptions and how responsive your ERP system is to handling the above four factors. In this white paper, we will explore how you can manage these four factors in planning for exceptions in your enterprise.
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Abstract: Fetco Home Decor, designer and wholesaler of fashion frames and other décor products, was relying on Excel spreadsheets to perform its forecasting process. The lack of accuracy and accessibility resulted in ineffective forecasting—and higher-than-necessary inventory levels. After a quick implementation of a planning and forecasting solution, Fetco reduced inventory by 25 percent without affecting customer service levels.
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Abstract: Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.