Systems Engineering Analysis for Office Space Management: Multicriteria Decision-Making Framework for Organizations With Competing Objectives and Finite Resources, Los Angeles Air Force Base Study

This late 2017 report has been professionally converted for accurate flowing-text e-book format reproduction.

Organizations have many challenges with respect to managing and allocating office space. In addition to fiscal constraints on space and resources, organizations may face competing mission priorities and changes in mission requirements. Through the application of the systems engineering method, this thesis develops a multicriteria decision-making framework applicable to space allocation decisions for organizations with competing objectives and finite resources. The methodology is employed first to develop an organization's requirements, stakeholders, and resource constraints and second to apply these data in a multicriteria decision-making framework to develop space allocation decisions. The approach prioritizes office space needs based on mission requirements while accounting for current resource constraints. Los Angeles Air Force Base is used as a case study in the successful test of the framework's effectiveness. By implementing this framework, federal agencies that are faced with the challenge of balancing resources to meet multiple objectives would have a systematic approach for determining how to allocate resources across their organization to best meet their identified goals.

I. INTRODUCTION * A. BACKGROUND ON LOS ANGELES AIR FORCE BASE * B. PROBLEM STATEMENT * C. RESEARCH OBJECTIVES * D. RESEARCH METHODOLOGY * E. BENEFITS OF STUDY * F. TERMINOLOGY * G. CHAPTER SUMMARY * II. REVIEW OF LITERATURE * A. DECISION-MAKING PRACTICES IN SPACE ALLOCATION * B. SPACE ALLOCATION OPTIMIZATION TECHNIQUES * C. MULTICRITERIA DECISION-MAKING AND APPLICATION TO SPACE ALLOCATION * D. CHAPTER SUMMARY * III. MODEL DEVELOPMENT * A. SYSTEMS ENGINEERING METHOD * 1. Requirements Analysis * 2. Functional Definition * 3. Physical Definition * 4. Design Validation * B. MULTICRITERIA DECISION-MAKING APPLICATION * 1. Setting the Decision Context * 2. Specifying Objectives * 3. Attributes and Value Functions * 4. Relative Importance of Objectives * 5. Calculating the Measure of Effectiveness * 6. Using the Model to Improve Effectiveness * C. CHAPTER SUMMARY * IV. MODEL APPLICATION * A. SETTING THE DECISION CONTEXT * B. CONSTRAINTS AND ASSUMPTIONS * C. REQUIREMENTS ANALYSIS * 1. Context Diagram * 2. Stakeholder Analysis * 3. Identification of Objectives * D. STRUCTURING OF OBJECTIVES * E. ATTRIBUTES AND VALUE FUNCTIONS * F. RELATIVE IMPORTANCE OF OBJECTIVES * G. FINDINGS * H. CHAPTER SUMMARY * V. CONCLUSION * A. INTRODUCTION * B. FINDINGS * C. RECOMMENDATIONS * D. FUTURE WORK

Dettagli