Technology choice as a first step in design: the interplay of procedural and sensemaking processes
DIS '02 Proceedings of the 4th conference on Designing interactive systems: processes, practices, methods, and techniques
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Geospatial information utility: an estimation of the relevance of geospatial information to users
Decision Support Systems
Genetic algorithms for positioning and utilizing sensors in synthetically generated landscapes
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Optimal computing budget allocation for multi-objective simulation models
WSC '04 Proceedings of the 36th conference on Winter simulation
Procedures for feasibility detection in the presence of multiple constraints
WSC '05 Proceedings of the 37th conference on Winter simulation
Finding the best in the presence of a stochastic constraint
WSC '05 Proceedings of the 37th conference on Winter simulation
Application of multi-objective simulation-optimization techniques to inventory management problems
WSC '05 Proceedings of the 37th conference on Winter simulation
A decision support system for product design selection: a generalized purchase modeling approach
Decision Support Systems
Proceedings of the 38th conference on Winter simulation
Using Attributes to Predict Objectives in Preference Models
Decision Analysis
Computers and Industrial Engineering
Recent advances in ranking and selection
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Using multi-criteria modeling and simulation to achieve lean goals
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Multi-objective simulation optimization through search heuristics and relational database analysis
Decision Support Systems
A multi-objective selection procedure of determining a Pareto set
Computers and Operations Research
A new perspective on feasibility determination
Proceedings of the 40th Conference on Winter Simulation
An efficient ranking and selection procedure for a linear transient mean performance measure
Proceedings of the 40th Conference on Winter Simulation
Economic Analysis of Simulation Selection Problems
Management Science
Dynamic situation modeling and reasoning under uncertainty
Proceedings of the 2009 international conference on Pervasive services
On-the-Fly Situation Composition within Smart Spaces
NEW2AN '09 and ruSMART '09 Proceedings of the 9th International Conference on Smart Spaces and Next Generation Wired/Wireless Networking and Second Conference on Smart Spaces
Bayesian Simulation and Decision Analysis: An Expository Survey
Decision Analysis
Finding feasible systems in the presence of constraints on multiple performance measures
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Identifying Recommendable Products based on Signal Detection Theory
Proceedings of the 2010 conference on Bridging the Socio-technical Gap in Decision Support Systems: Challenges for the Next Decade
Selection of the best with stochastic constraints
Winter Simulation Conference
Optimal computing budget allocation for constrained optimization
Winter Simulation Conference
Personal and Ubiquitous Computing
An application of PCA to rank problem parts
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Proceedings of the Winter Simulation Conference
Multi-objective COMPASS for discrete optimization via simulation
Proceedings of the Winter Simulation Conference
| Hi-index | 0.01 |
Managers of large industrial projects often measure performance by multiple attributes. For example, our paper is motivated by the simulation of a large industrial project called a land seismic survey, in which project performance is based on duration, cost, and resource utilization. To address these types of problems, we develop a ranking and selection procedure for making comparisons of systems (e.g., project configurations) that have multiple performance measures. The procedure combines multiple attribute utility theory with statistical ranking and selection to select the best configuration from a set of possible configurations using the indifference-zone approach. We apply our procedure to results generated by the simulator for a land seismic survey that has six performance measures, and describe a particular type of sensitivity analysis that can be used as a robustness check.