Abstract: Stochastic flow shop scheduling problem with uncertain processing times is an important optimization problem with strong engineering background, which is of the difficulties such as ...

The paper deals with the classical problem of minimizing the makespan in a two-machine flow shop. When the job processing times are deterministic, the optimal job sequence can be determined by ...

Abstract: Compared to other industries, production systems in semiconductor manufacturing have an above-average level of complexity. Developments in recent decades document increasing product ...

This repository contains a comprehensive platform for solving the Flow Shop Scheduling Problem (FSSP), a well-known optimization problem in operations research. The platform implements multiple ...

A theory based on the precedence relation (dominance condition with no fixed presequence) concept has been developed and applied to the flow-shop problem. The nature and scope of two major precedence ...

Title Effects of feasibility cuts in Lagrangian relaxation for a two-stage stochastic facility location and network flow problem ...

Abstract: Streamflow disaggregation techniques are used to distribute a single aggregate flow value to multiple sites in both space and time while preserving distributional statistics (i.e., mean, ...

James R. Prairie, Kenneth Nowak, Balaji Rajagopalan, U. Lall and Terence Fulp. “A Stochastic Nonparametric Approach for Streamflow Generation Combining Observational and Paleo Reconstructed Data,” ...