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Advanced Product Quality Planning – The 5 Phases of APQP

QAD

Updated: August 3, 2023 Published: April 1, 2019 Achieving Customer Satisfaction and Competitive Advantage at Lower Costs Understanding and meeting customer expectations is at the heart of Advanced Product Quality Planning (APQP) and are key requirements for any business to be successful. What is APQP?

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Sorry Planners, Your Plan is not Necessarily a Quality Decision

Supply Chain Trend

Some new language has been creeping in the planning vocabulary in the last year or two: planning & decision making. What used to be planning, or a planning system, is now sometimes referred to as planning & decision making. I now see LinkedIn profiles calling out ‘better planning, better decisions.’

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Navigating The Snails Trail: Moving to Outside-in Planning Processes

Supply Chain Shaman

The evolution of planning moves from a focus on the enterprise to an adaptive platform that senses and responds based on market data. An outside-in model requires a redefinition making today’s supply chain planning technologies legacy investments. What Is An Inside-Out Planning Process?

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Data Quality: Your Digital Transformation Depends on It

Logistics Viewpoints

Today, I’m going to add a qualifier — it has to be quality data. Just as any chef will tell you that anything less than the best quality ingredients can render a dish inedible, so too, bad data can turn any data-driven IT effort sour. So, what is quality data? So, ensuring data quality is critical. Inspect before entry.

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Supply Chain Planning Maturity – How Do You Compare to Peers?

How prepared are supply chain teams to react and recover from a planning maturity stance? Time allocated to data collection: Data quality is a considerable pain point. Time allocated to data collection: Data quality is a considerable pain point. Download this report to get exclusive insights on planning maturity!

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Predictive Quality: A future with less rejects and rework

The Logistics & Supply Chain Management Society

Predictive Quality: A future with less rejects and rework by Luisa Walendy Manufacturing companies often struggle to keep their customers 100% satisfied: Delayed deliveries or issues with quality are not always easy to put a stop to. However, this problem must not be ignored.

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It’s Long Overdue: Time to Bridge the Link Between Planning and Execution

Logistics Viewpoints

As an industry, linking supply chain planning and execution has been discussed for decades. The ability to unify key processes is closely tied to making timely, informed decisions – and the speed and quality of decision-making are crucial factors that significantly impact overall company performance.

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How Data Science and Modeling Can Supercharge Your Risk Management

Speaker: Dr. Ken Fordyce, Solutions Director, Supply Chain and Advanced Analytics at Arkieva

Risk management is defined as anticipating and responding to an event not yet part of the plan of record that requires a significant adjustment in your demand-supply network (DSN). Creating a successful plan demands a thoughtful combination of data science and computational models to anticipate structural weak points.

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Top 5 Barriers to Supply Chain Network Design Adoption and How to Overcome Them

Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS

This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality. Lengthy time to plan/execute. Lack of skilled resources. Don’t have the right tools/tools are too complex or expensive.