QAD Optimization

QAD offers a wide array of software modules, but which modules are right for your business? Within specific modules, which functionality is optimal for your business? How can your business best leverage and optimize the QAD software along with best business practices, processes and procedures to optimize your competitiveness?

Another key element to QAD optimization is data.  The value of your QAD ERP is only as good as the data within it.  Logan Consulting supports optimization efforts to a) get the data clean and b) keep the data clean.  Getting the data clean involves analyzing and scrubbing the data, including but not limited to customer data, inventory data, vendor data and manufacturing BOMS and routings.  Keeping the data clean means implementing best practice processes and procedures that ensure ongoing, continuous data integrity.

Whether your company is  a new QAD user, a prospective QAD user or a fully implemented QAD user, Logan Consulting can help you optimize how you are using your QAD system to maximize the value to your organization.

 QAD Optimization Examples:

Optimize inventory levels vs. customer service levels

Optimize production and productions scheduling Streamline your production processes

Optimize pricing, timing and logistics within your supplier-side supply chain

Optimize pricing on your customer-side supply chain

Improve the efficiency of distribution inventory levels, locations and logistics

Improve your processes for qualifying and certifying suppliers and customers

Integrate and optimize how your QAD system works with other software systems and processes within your business and with your supply chain

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QAD Optimization Blog

The Misdiagnosis: Blaming the Engine Instead of the Inputs A common frustration is when MRP output doesn’t match reality. This can show up as shortages on the floor, excess inventory

In today’s complex customer and supplier environments, deductions are inevitable. Whether tied to promotions, freight disputes, quality issues, or pricing discrepancies, businesses need a structured way to manage them without

In manufacturing, the plan always looks clean on paper. Demand forecasts align neatly with capacity. Lead times behave as expected. Inventory levels stay within target. Then reality intervenes. A supplier