The goal of this CELDi Center Designated Project is to enhance previously developed multi-echelon supply chain simulation software so that it can be used by CELDi organizations through a SaaS architecture that leverages the resources available within cloud computing (CC)
At the end of this project, CELDi member organizations will have available to them a SaaS/Cloud computing application capable of evaluating the performance of multi-echelon supply networks through simulation.
This software architecture will facilitate software benefits based on a usage model and develop expertise within the center for this new computing architecture.
Routine maintenance, repair, and overhaul (MRO) of aircraft includes mostly standard work, but often there are "Over and Above" work requests for unanticipated repairs
• These requests require a certain level of on-hand inventory in order to continue working on aircraft and minimize delays
• Each piece of inventory requires an inventory cost investment
Project objectives are to improve processes managing materials by
• Reducing total inventory investment without increasing stockout risk
• Increasing the visibility of supplier-related data (e.g. lead time) to reduce the need for additional buffer inventory
• Reclassifying work requests to encourage holding predictable inventory requirements
This project seeks to extend and generalize the computer based system we developed for SPAWAR that assisted Green Belts in working through a LSS project and that provide a way for PM's to communicate project scope and details as well as check the project status. The first objective is accomplished by developing and coding a logic tree that has a series of questions, tasks and suggestions for the Green Belt. This leads the Green Belt through a progression of data collection and analysis tasks that follows the DMAIC process. The system is not prescriptive in the sense of providing the correct answer; rather, it "requires" Green Belts to perform certain functions for all projects like developing a process flow diagram and value stream map but only "suggests" possible tools based on answers to the questions. The Green Belt still has to think and decide - we just attempt to ensure that he or she has collected the right information to make the decision and limit the possible answers to those that are most likely applicable. The second objective is accomplished by providing PM's a standard format within the system to communicate problem details to the Green Belt. Project status is automatically recorded by the Green Belt as he or she performs tasks and answers and both the Green Belt and PM have access to the progress summary.
This research will expand this system in several ways. There will be more tools contained in the system's repertoire. This means that the underlying logic that directs the Green Belt must be expanded and refined. In addition, the type of information and how it is presented to the Green Belt will be improved and expanded. Of high importance to the research team is a more thorough field testing process with (hopefully) several CELDi industry members so that both the Green Belt tool identification process and the PM monitoring process can be improved. If time remains, we will try to help the PM determine an appropriate measurement that will track sustainability of improvements through time. Ideally, the system would automatically prompt the appropriate person when it is time to input and measurement and display a simply chart to facilitate assessment.