MIP formulation for scheduling of a reconfigurable assembly line based on state machines and state transitions

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Authors: Nataliya Babych, Alexander De Cock, Barry Swevels, Mehmet Uzunosmanoğlu, Sofie Burggraeve
Cited by: 0
References: 6

Abstract

A new mixed integer program is proposed to schedule a fully automatic, reconfigurable assembly line. The scheduling consists of sequencing and timing a set of pre-allocated assembly and transport jobs, while also inserting the necessary reconfiguration jobs. By modelling reconfigurations as state transitions of a state-machine, the formulation enables to exploit the full flexibility of the reconfigurable assembly line. To evaluate the performance of our formulation we solve a problem instance with Gurobi 10.0.0 and compare our exact formulation against a current state-of-practice heuristic. While substantially slower, our formulation results in a solution with a 11.5% shorter make span.

Fields of Study & Subjects

Scheduling and Optimization Algorithms Assembly Line Balancing Optimization Flexible and Reconfigurable Manufacturing Systems

Publication details

Journal / source
Procedia CIRP
Volume
138
Pages
785–790
Publication date
1 January 2026
Language
EN