By Andrew K. Reese
Atlanta Dental Supply decided back in 2003 to implement a new warehouse management system in order to improve pick accuracy and overall efficiency in its 55,000-square-foot distribution center. The move paid off in short order as the company saw increases in accuracy and productivity. But the real payoff on the initiative has come from the continuous improvement that the WMS has enabled.
Duluth, Ga.-based Atlanta Dental Supply is a 140-year-old, employee-owned distributor of dental supplies serving more than 5,000 dentists throughout the Southeast United States. The company stocks more than 14,000 items in its DC, where staff pick between 38,000 and 42,000 order lines each month. Competing against much larger, multi-billion dollar corporations, Atlanta Dental has made high service levels the cornerstone of its customer relationships and the foundation of its success.
Prior to 2003, however, processes at the company's DC were largely manual, which created accuracy problems, according to John Hanna, director of operations at Atlanta Dental. "The number one challenge that we were facing was accuracy in the warehouse," Hanna says, "including picking accuracy and inventory level accuracy at the item level." Errors in the warehouse raised the prospect of unhappy customers and unhappy sales reps, neither of which Atlanta Dental could afford given the tough competitive landscape in its industry.
With an eye toward improving accuracy in the distribution center, Atlanta Dental elected to proceed with the implementation of a warehouse management system at the DC. The company already was using Prophet 21, the enterprise software solution for wholesale distribution from Yardley, Pa.-based Activant. A WMS compatible with Prophet 21 was available from PathGuide Technologies, a 19-year-old pure-play vendor specializing in warehouse automation solutions for wholesale and industrial distributors. Given the existing partner relationship between Activant and PathGuide, Atlanta Dental decided to deploy PathGuide's Latitude WMS.
Managing the Change
The implementation took place in 2003 and went off without any significant hitches, according to Hanna. The biggest challenge, he says, came after the deployment and involved getting the company's staff trained on the new system and the new processes that the system entailed. "It was the traditional problem that you have when people have always done it one way, and now you're trying to get them to accept a different way," Hanna says.
Atlanta Dental did send a team of employees to Seattle area-based PathGuide's offices for training, and those employees in turn helped train up the DC workers. But, in retrospect, Hanna says that he now would bring staff from the solution provider out to his facility to train more employees onsite as a way of building internal buy-in faster on the DC floor. "When you're making an investment in this type of system, you have to make an adequate investment in the training resources, too," Hanna advises.
Change management issues notwithstanding, Atlanta Dental found the new WMS to be easy to use once the deployment was completed, a key factor in an industry that traditionally has seen relatively frequent staff turnover in the DC. If before, under the manual process, new workers might require several months to get up to speed, with the Latitude system in place, new employees can leverage the WMS and new equipment like handheld radio frequency (RF) scanners to become fully functional much faster. "You can train people very quickly, and they can be up to speed in a week or two," Hanna says.
Deploying the Latitude system has met Atlanta Dental's goal of improving accuracy, with picking errors reduced by at least 33 percent. Hanna attributes part of this improvement to the automation and the new process enforced through the WMS, but he also believes that one of the biggest payoffs from implementing the system has been the increased level of analytics made possible by the WMS. "You have access in the management console to performance indicators that you would not have otherwise, things like average picks per hour and errors that we couldn't track before," he says.