Sequencing JIT mixed-model assembly lines
Management Science
Level schedules for mixed-model, Just-in-Time processes
Management Science
Balanced sequences and optimal routing
Journal of the ACM (JACM)
Fraenkel's conjecture for six sequences
Discrete Mathematics
Graph Theory With Applications
Graph Theory With Applications
A simple approach to the product rate variation problem via axiomatics
Operations Research Letters
Solution of The Liu-Layland Problem Via Bottleneck Just-In-Time Sequencing
Journal of Scheduling
Solving the minmax product rate variation problem (PRVP)as a bottleneck assignment problem
Computers and Operations Research
Matrix approximation and Tusnády's problem
European Journal of Combinatorics
Integer matrices with constraints on leading partial row and column sums
Discrete Applied Mathematics
SWAT'06 Proceedings of the 10th Scandinavian conference on Algorithm Theory
Rounding of sequences and matrices, with applications
WAOA'05 Proceedings of the Third international conference on Approximation and Online Algorithms
Note: Job release scheduling problem: Complexity and an approximation algorithm
Discrete Applied Mathematics
Hi-index | 0.04 |
This note revisits the maximum deviation just-in-time (MDJIT) scheduling problem previously investigated by Steiner and Yeomans. Its main result is a set of algebraic necessary and sufficient conditions for the existence of a MDJIT schedule with a given objective function value. These conditions are used to provide a finer analysis of the complexity of the MDJTT problem. The note also investigates various special cases of the MDJIT problem and suggests several questions for further investigation.