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- W1994266978 abstract "The Jet Propulsion Laboratory's (JPL) Resource Allocation Process incorporated the decision-making software system RALPH into the planning process four years ago. The principal task of the Resource Allocation Process includes the planning and apportionment of JPL's Ground Data System composed of the Deep Space Network and Mission Control and Computing Center facilities. The addition of the data-driven, rule-based planning system, RALPH, has expanded the planning horizon from eight weeks to 10 years and has resulted in significant labor savings. Use of the system has also resulted in important improvements in science return through enhanced resource utilization. In addition, RALPH has been instrumental in supporting rapid turn around for an increased volume of special “what if” studies. This paper reviews the status of RALPH and focuses on important lessons learned from the creation of a highly functional design team, through an evolutionary design and implementation period, and through the fundamental changes to the process that spawned the tool kit. Principal topics include proper integration of software tools within the planning environment, transition from prototype to delivered software, changes in the planning methodology as a result of evolving software capabilities, and creation of the ability to develop and process generic requirements to allow planning flexibility." @default.
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- W1994266978 date "1990-01-01" @default.
- W1994266978 modified "2023-10-03" @default.
- W1994266978 title "Resource allocation planning helper (ralph): Lessons learned" @default.
- W1994266978 doi "https://doi.org/10.1016/s0736-5853(05)80004-8" @default.
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