Determining safety stock in the presence of stochastic lead time and demand
Management Science
The impact of uncertainty on a production line
Management Science
Modeling and worker motivation in JIT production systems
Management Science
Performance Modeling and Prediction of Nondedicated Network Computing
IEEE Transactions on Computers
Time-domain analysis of Web cache filter effects
Performance Evaluation - Special issue: Distributed systems performance
Managing Flexible Capacity in a Make-to-Order Environment
Management Science
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In this paper, we develop models for capacity planning within the framework of stochastic processing times and stochastic demand for different process outcomes in high-flexibility environments. We particularly address stochastic interdependencies between processing times for different processes (inter-process correlation), interdependencies between the capacity consumption (task times) of different executions of the same task in a given production stage (intra-process correlation) as well as interdependencies between the demand for different process outcomes. After presenting the base model, we conduct extensive sensitivity analyses and analyze the main relationships between different model variables. We use process and demand data from the financial industry to demonstrate the applicability and relevance of our findings.