Advanced Value Engineering

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Advanced Value Engineering
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P1183

London (UK)

02 Mar 2026 -06 Mar 2026

5550

Overview

Introduction:

Advanced Value Engineering represents a structured methodology for maximizing value by balancing functionality, performance, and cost across the project lifecycle. It goes beyond traditional cost cutting approaches to emphasize analytical frameworks that optimize resources while sustaining quality and efficiency. This training program introduces models that structure the phases of value engineering, from function analysis to creative evaluation and planning. It also highlights institutional approaches that support collaboration, accountability, and the integration of value engineering into organizational strategies.

Program Objectives:

At the end of this program, participants will be able to:

  • Analyze the institutional role of value engineering in enhancing project outcomes.

  • Classify functions, constraints, and critical components using structured analysis frameworks.

  • Evaluate creativity models and their contribution to maximizing project value.

  • Assess systematic methods for decision-making, idea evaluation, and life-cycle costing.

  • Determine institutional approaches for planning, reporting, and embedding value engineering in organizations.

Targeted Audience:

  • Project Managers.

  • Operational Excellence Personnel.

  • Operations Managers.

  • Asset Managers.

  • Quality Assurance Personnel.

Program Outline:

Unit 1:

Frameworks of Value Engineering in Projects:

  • Institutional definitions of value and value engineering.

  • Models for structuring concepts and principles of value engineering.

  • Phases of application across the project lifecycle.

  • Stakeholder analysis frameworks for value-focused outcomes.

  • Cross functional team structures and collaborative approaches.

Unit 2:

Function Analysis in Value Engineering:

  • Job plan phases and institutional relevance of function analysis.

  • Frameworks for the information phase and structured data collection.

  • Functional analysis system techniques (FAST diagrams) for value identification.

  • Constraint mapping and trade off evaluation methods in project environments.

  • Cost estimating structures integrated with functional requirements.

Unit 3:

Creativity and Value Optimization:

  • Analytical models linking risk management with value.

  • Relationships between cost, worth, and institutional priorities.

  • Creativity frameworks supporting innovation in teams.

  • Techniques for generating ideas to optimize value.

  • Barriers to creativity within structured project environments.

Unit 4:

Evaluation and Decision-Making in Value Engineering:

  • Institutional methods for consensus building and collaboration.

  • Criteria for idea selection and structured evaluation.

  • Decision frameworks using value-based methodologies.

  • Life cycle costing as a tool for comprehensive evaluation.

  • Development phase structures supporting problem solving.

Unit 5:

Planning, Reporting, and Institutional Integration:

  • Frameworks of structured decision-making models in project environments.

  • Systems for responsibility assignment and role definition in action plans.

  • Institutional structures for reporting value engineering outcomes.

  • Key steps for integrating value engineering into organizational processes.

  • Governance models ensuring alignment of value engineering with organizational objectives.