Managerial insights from service industry models: a new scenario decomposition method
From MaRDI portal
Publication:635974
DOI10.1007/s10479-009-0617-1zbMath1219.90056OpenAlexW1981571156MaRDI QIDQ635974
Lorenzo A. Peccati, Emanuele Borgonovo
Publication date: 25 August 2011
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10479-009-0617-1
sensitivity analysisfinite change sensitivity indiceshigh dimensional model representation theoryscenario analysisservice industry modelsworkforce allocation
Related Items
Decision-based scenario clustering for decision-making under uncertainty ⋮ Methodology for determining the acceptability of system designs in uncertain environments ⋮ On the consistency of Sobol indices with respect to stochastic ordering of model parameters
Cites Work
- Unnamed Item
- Planning annualised hours with a finite set of weekly working hours and joint holidays
- Identification of a small reliable and efficient set of consistent scenarios
- Core, least core and nucleolus for multiple scenario cooperative games
- Using a MILP model to establish a framework for an annualised hours agreement
- The jackknife estimate of variance
- Scenario planning -- lessons for practice from teaching and learning.
- General foundations of high-dimensional model representations
- Parameter estimation in stochastic scenario generation systems
- Optimal pricing for service facilities with self-optimizing customers
- Solving the competitive discretionary service facility location problem
- Workforce scheduling with multiple objectives
- A probabilistic model applied to emergency service vehicle location
- Sensitivity analysis with finite changes: an application to modified EOQ models
- Planning annualised hours with a finite set of weekly working hours and cross-trained workers
- A generic approach to measuring the machine flexibility of manufacturing systems
- Tolerance Sensitivity and Optimality Bounds in Linear Programming
- Pricing and Resource Allocation in Caching Services with Multiple Levels of Quality of Service
- Dynamic Control of an M/M/1 Service System with Adjustable Arrival and Service Rates
- Queuing for Expert Services
- Sensitivity Analysis in Decision Making: A Consistent Approach
- On the Relative Importance of Input Factors in Mathematical Models
- A Class of Statistics with Asymptotically Normal Distribution
- Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
- Towards ``zero abandonments in call center performance
This page was built for publication: Managerial insights from service industry models: a new scenario decomposition method
