What is AHP?

Complex or important decisions should not be based solely on instinct. Analytic Hierarchy Process (AHP) is a mathematically rigorous, proven process for prioritization and complex decision-making.

AHP can help managers and developers combine all of this information and make informed decisions — whether prioritizing customer needs, sorting product features, making budget decisions involving a variety of tangible and intangible strategic goals, managing conflicting stakeholders, or selecting from hundreds of alternative initiatives to be pursued.

By reducing complex decisions to a series of pair-wise comparisons, then synthesizing the results, AHP enables decision-makers arrive at the best decision with a clear rationale for that decision.

AHP is now the recommended prioritization method specified by ISO 16355. This standard obsoletes the classical House of Quality matrix with ratio scale math. Those who still use this matrix urgently need to modernize their practice now.

This Workshop

This leads to better decisions about projects and resources, decisions with stronger buy-in, helping them deliver more value from their portfolio. Get a demo Strategically aligning your portfolio is a critical part of delivering value, yet organizations often struggle with delivering alignment due to a lack of tools. AHP/ANP are the most powerful synthesis methodologies for combining judgment and data to effectively rank options and predict outcomes. These are structured techniques for organizing and analyzing complex decisions, based on mathematics and psychology. They were developed by Thomas L.

DECISION-MAKING WITH THE AHP: WHY IS THE PRINCIPAL EIGENVECTOR NECESSARY? Saaty University of Pittsburgh Pittsburgh, PA 15260 − U.S.A. Saaty@katz.pitt.edu Keywords: complex order, consistent, near consistent, priority, principal eigenvector.

Participants in this tutorial will receive MS Excel templates (or a trial version of AHP software when permitted) and instruction for:

• Aligning their decisions with their organizational objectives
• Implementing a structured, repeatable and justifiable decision making approach
• Leveraging organizational expertise
• Improving top-down and bottom-up communication
• Building consensus
• Prioritizing customer needs

Who should attend?

Product development specialists, Design for Lean/Six Sigma (DFLS / DFSS) black belts and master black belts, project managers, marketing teams, and anyone who is involved in decision making, financial decisions, risk analysis, strategy.

Good News:

The basics of AHP and how to apply it in new product development and customer requirements management are covered in QFD Green Belt^® Certificate Course (both public course and in-house training). This course includes templates for AHP, modern House of Quality with ratio scale math, and other modern QFD work objects.

AHP Tutorial

Ahp Decision Model

AHP tutorial may be also offered as one of the QFDI public events or upon request at your company location as an in-house training.

For inquiry, please contact QFD Institute.

Method

The Analytic Hierarchical Process (AHP) and the Analytic Network Process (ANP) are used to measure intangibles using human judgment.

AHP/ANP are the most powerful synthesis methodologies for combining judgment and data to effectively rank options and predict outcomes.

These are structured techniques for organizing and analyzing complex decisions, based on mathematics and psychology. They were developed by Thomas L. Saaty.

They have particular application in group decision making, and are used around the world in a wide variety of decision situations, in fields such as government, business, industry, healthcare, shipbuilding and education.

Ahp Decision-making Process

Rather than prescribing a 'correct' decision, these methods help the decision makers to find a solution that best suits their goal and their understanding of the problem. It provides a comprehensive and rational framework for structuring a decision problem, for representing and quantifying its elements, for relating those elements to overall goals, and for evaluating alternative solutions.