Manage my business Quality Management Dashboard
Quality Management Dashboard: Balancing the need to reduce costs with the equal requirement to deliver quality output.
WHY WORKING WITH LINTAO FOR YOUR QUALITY MANAGEMENT DASHBOARD
- LinPack for Tableau: online service to generate stunning Tableau dashboards
- LinPack for Qlik: Ready-to-use Dashboards (100% customizable)
- Excellent understanding of Quality Management stakes
- Pre-defined KPIs and analytical axes for Quality Management dashboards
- Experienced Staff expert in dashboarding solutions
- Expertise in Data Visualization
CONTEXT & CHALLENGES
The quality of a product or service has a significant influence on a company’s brand image, with the aim always being to produce a product, or provide a service, of the best possible quality and at the best possible cost price. Furthermore, compliance with the many product and service quality standards (Six Sigma, SOX, ISO, FDA, etc.) gives rise to an additional cost, which needs to be integrated while optimizing the control-defect ratio.
There is, therefore, an essential balance to be found between the need to reduce costs and the requirement to provide quality products and services. As is often the case, finding the right balance is not easy. This is all the more true in a context that requires ever more responsiveness. All of the information that contributes to achieving this balance needs to be monitored in real time, while continuously challenging costs linked to prevention and assessments, and those inherent in internal and external failures. This is where a quality management dashboard comes into its own.
Calibration, corrective actions, document management, default and/or error management, improvements, incident management, setting up of and compliance with the Six Sigma protocol, quality assurance… All of these are an essential part of product manufacturing. It is necessary to be able to monitor them with a quality management dashboard.
The challenge remains to identify the point of equilibrium between prevention and assessment costs on the one hand, and those related to failures on the other. If the latter need to be reduced, to what extent should the former be increased in order to achieve this, without negatively affecting the company’s margins? This is equally true for products and services.
QUALITY MANAGEMENT GOALS AND OBJECTIVES
With the accumulation of constraints and stress related to achieving results and the responsiveness of departments, achieving all the goals you set yourself is no easy matter. The benefit of having an overall view and focus on details in real time is not enjoyed by all. This is why it is important to be assisted by a fully customizable quality management dashboard.
Reduce costs linked to external failures by challenging suppliers
Minimize the risk of internal failures by monitoring processes in real time
Avoid additional costs related to new assessments by checking calibrations on a daily basis
Optimize the reduction of costs arising from failures by analyzing all cost-related data
Increase margins by determining to what extent assessment and prevention-related costs should be increased in order to reduce breakage, time lost reworking, calibrations, deterioration, customer returns, warranty claims, product recalls, re-testing…
QUALITY MANAGEMENT KPIS
Key Performance Indicators are used to measure the realized progress towards a strategic objective.
For a Quality Management dashboard, here is a sample list of KPIs Lintao recommends (non exhaustive list):
Failure Cost (€)
QC Reject Rate (%)
Defects (#, %)
Quality Control Costs (€)
Quality Control Defect Fixed (#, %)
Quality Control Units Sampled (#)
Scrap Cost (€)
Scrap Unit (#, %)
… or your own Quality Management KPIs
QUALITY MANAGEMENT ANALYTICAL AXES
The axes of analysis represent the elements by which you want to segment your observable information (such a KPIs) to understand the rationales behind a given performance. Also called ‘dimensions’.
For a Quality Management dashboard, Lintao identifies the following axes of analysis (non exhaustive list):
Quality Control Type
… or your own Quality Management analysis axes