Allocating Programming Resources in a Dynamic Environment

• Activity Number: 200
• Type: Roundtables
• Date/Time: Monday, August 5, 2013 : 12:30 PM to 1:50 PM
• Sponsor: Section for Statistical Programmers and Analysts
• Author(s): William Coar*+ and Amber Randall
• Companies: Axio Research and Axio Research
• Keywords: Statistical Programming ; Resourse Allocation

Abstract

In the day-to-day operations of a statistical programming department, we are faced with distribution of an increasing number of programming tasks to fixed number of programmers. Our growing departments need to accommodate project deliverables and timelines that change on a weekly basis. As the demands evolve, so must our models for allocating programming resources in this dynamic environment. There are various models for resource allocation, such as assigning a fixed programming team to each project or routinely assigning programmers to projects based on more immediate deliverables. The choice of model may be influenced by factors such as the size of the company or the number of active projects. One focus of the discussion will be on optimistic (yet realistic) resource allocation models. An ideal resource allocation scheme would allow production at an optimal capacity with the highest quality, yet allow the opportunity to grow as a group and as individuals. Other aspects to consider are association between dedicated resources and quality, individual project training, network security, building trust and accountability, and allowing flexibility.