The objective of this proposal is to develop new techniques for addressing dynamic scheduling needs of a production environment in the MRO (Maintenance, Repair & Overhaul) industry where unknown repair issues force continuous schedule modifications. The existing techniques involve detailed work cards set by planning with both skill set and work hours. Changes to these variables require time consuming updates that hinder management's capability to impact change and direct the workforce. This research will focus on several key areas. First, identify the key elements required to dictate delivery dates. Second, determine the key what-if capability needs so changes in requirements can predict both manpower and skill set needs. Third, catalog financial impacts in terms of overtime and potentially other key elements such as expediting costs to determine financial impact of schedule changes. This research will utilize human based processing theory, sequencing and scheduling strategies, optimization techniques to enable the OC-ALC to reduce its production lead-times and minimize both schedule impacts and overtime costs of unidentified schedule changes.
Keywords: Sequencing And Scheduling, Optimization Theory, Dynamic Production Environments
