Introduction Statoil has cooperated with Hunting Engineering Ltd. to establish a simulation software tool applicable to offshore industry needs. The software has been named AIMLO (Analysis of Installation Manning Logistics and Operations). The purpose of this paper is to show that a simulation model of this type can be used to determine how manpower and installation productivity are affected by: Installation characteristics. including: Type of equipment installed Criticality of main functions Failure modes and Mean Time Between Failures Events/Failures that require an immediate visit Maximum number of men allowed on the platform Manpower characteristics, including: Location of the maintenance crew Each man's skills Shift patterns Logistics support levels. including: Alternative transportation routes and times Availability of a helicopter Operating and maintenance policies, including: Maintenance strategy Type, amount and frequency of workload activities Required skills and seniorities Other activities Control philosophy Intervention philosophy The model results can make a significant contribution to the design and policy decisions which impact on the operational availability and whole life cost of an installation. The paper is presented in two parts. The first part describes the application of the model to a specific project. For commercial reasons the quantitative information derived during this study is omitted from the paper. The second part describes the origins and nature of the simulation technique, and how it may be developed in the future. A glossary of terms is given at the end of the paper. P. 189^

A comprehensive qualitative assessment of a researcher's contribution in a specific narrow discipline takes time and expertise. Given the shortage of both in typical situations, a researcher's productivity is often judged quantitatively by the number of publications, their acceptance ratios, and citation counts that are highly discipline-dependent. We believe such a cursory evaluation is unavoidable and suggest a more intuitive discipline-agnostic approach for perfunctory assessment. We propose a metric called peers' reputation (PR) which ties the selectivity of a publication venue with the reputations of authors' institutions. Briefly, PR conveys the selectivity of a conference with a tuple, say <1/3 , 20>, indicating that 1/3 of the papers at that conference are from the top 20 universities. We compute PR for networking research publication venues, and argue that PR is a better indicator of selectivity than acceptance ratio, and many conferences have similar or better PR than journals. While these insights are not necessarily new to researchers in the networking community, PR metric helps inform a dean or a provost that getting a paper accepted at MobiCom involves competing with researchers from the top 20 US universities.