SmartAPS

SmartAPS considers information from daily orders, sales and shipments and production results to generate new sales plans and detailed production schedules. Decision-making on sales and production plans is made easy through deriving standard information on various lead-times using a multi-dimensional database.

To obtain high customer satisfaction, production management requires accurate forecasting of shop floor requirements and output. The sales forecast is generally done by time series analysis through forecast demand based on past results using linear regression, simple averaging, moving averaging, and exponential smoothening methods. However, the scheduling becomes complicated because there are too much detailed numerical information. SmartAPS uses a multi-dimensional layered structure to automatically generate planning and schedules. The output can be generated and displayed in different formats like in ratio of last year�fs results, classified by product, by location etc.

• Future demand can be forecasted using past sales results and shipment data
• Various forecast techniques can be applied such as moving average, index smoothing, and linear regression
• The forecast know-how of an original user of the setting of the campaign index etc. can be reflected in the forecast data
• The lead time of the plan decision that it takes time improves rapidly distribution/to total the forecast value settled on by the middle hierarchy automatically in the ratio of results in the past.
• Easy verification of the correctness of planning by comparison functions (e.g. compare sales plan and headquarters planning)
• Planning data and results can be analyzed using basic functions of a multi-dimensional database such a drill down, slice and dice.