A polynomial algorithm for scheduling small-scale manufacturing cells served by multiple robots
Computers and Operations Research
Robotic cell scheduling with operational flexibility
Discrete Applied Mathematics
An Efficient Optimal Solution to the Two-Hoist No-Wait Cyclic Scheduling Problem
Operations Research
Sequencing and Scheduling in Robotic Cells: Recent Developments
Journal of Scheduling
A faster polynomial algorithm for 2-cyclic robotic scheduling
Journal of Scheduling
Scheduling in a three-machine robotic flexible manufacturing cell
Computers and Operations Research
Identical part production in cyclic robotic cells: Concepts, overview and open questions
Discrete Applied Mathematics
Scheduling of coupled tasks and one-machine no-wait robotic cells
Computers and Operations Research
A polynomial algorithm for 2-cyclic robotic scheduling: A non-Euclidean case
Discrete Applied Mathematics
Note: A quadratic algorithm for the 2-cyclic robotic scheduling problem
Theoretical Computer Science
Note: A quadratic algorithm for the 2-cyclic robotic scheduling problem
Theoretical Computer Science
An efficient algorithm for multi-hoist cyclic scheduling with fixed processing times
Operations Research Letters
Minimizing the fleet size with dependent time-window and single-track constraints
Operations Research Letters
A strongly polynomial algorithm for no-wait cyclic robotic flowshop scheduling
Operations Research Letters
Part sequencing in three-machine no-wait robotic cells
Operations Research Letters
Two-machine robotic cell scheduling problem with sequence-dependent setup times
Computers and Operations Research
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This paper addresses the multi-robot 2-cyclic scheduling problem in a no-wait robotic cell where exactly two parts enter and leave the cell during each cycle and multiple robots on a single track are responsible for transporting parts between machines. We develop a polynomial algorithm to find the minimum number of robots for all feasible cycle times. Consequently, the optimal cycle time for any given number of robots can be obtained with the algorithm. The proposed algorithm can be implemented in O(N^7) time, where N is the number of machines in the considered robotic cell.