Executive Life Cycle Management Program

Unique 3-day program for decision makers and product managers who seek a greater understanding of LCM, including Life Cycle Effectiveness Management and Logistics Support Engineering.

Decision makers attending this program will obtain a thorough understanding of Life Cycle Management (LCM) in general and the analytical element in particular. Based on a solid framework, objectives and key concepts of LCM are introduced. Furthermore, the role and scope of related disciplines will be explained. A broad spectrum of analyses covering various phases of the system/product life cycle will be illustrated interchangeably by example or as exercises.

Who should attend the program and why?

Organizations, decision makers and product managers who seek knowledge and understanding of LCM and Logistic Analysis, and how Logistic Analysis could strengthen/support the organization/project and strategic decisions to be taken. This is a great opportunity for networking, and to exchange ideas with colleagues in similar positions, who are facing similar issues and challenges.

Key learning objectives

By participating in this program you will:

• obtain a thorough understanding of LCM, its principles, scope and objectives
• understand the key concepts of LCM, e.g., operational effectiveness, availability performance, Life Cycle Cost (LCC), Life Cycle Effectiveness (LCE), Integrated Logistics Support (ILS) and Reliability Availability Maintainability and Safety (RAMS)
• obtain ideas/material to promote implementation of LCM within your organization
• understand the potential and benefits from applying LCM to your product/project
• be introduced to LCM-related methodology and analyses, assisting you in various phases of your product/system life cycle, e.g.:
  - requirements analysis, LCC and effectiveness prediction in conceptual design phase
  - the principles of LCE/LCC-based acquisition (Life Cycle Effectiveness / Life Cycle Cost) 
  - how to analyze and balance support system investments against their foreseen effect
  - how to analyze information from monitoring and field experience to continually
    improve system performance and/or cost

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