Articolo in rivista, 2023, ENG, 10.1016/j.cie.2023.109360

Dynamic hoist scheduling for multi-recipe and multi-stage production lines: A logical framework

D Ramin, D Fraizzoli, A Ballarino, A Brusaferri

Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato

This article studies the dynamic multi-hoist scheduling problem in a robotic cell with multi-function and parallel processing units. We consider a general case of a multi-recipe and multi-stage material handling process, which can be encountered in many manufacturing industries such as electronics, chemical, food, automotive, and steelmaking. Scheduling such a process, even for a line with a single hoist, is very complex and has been merely dealt with using exact mathematical methods. We propose a logic-based optimization model to solve the task scheduling and resource allocation problem for a line with multiple hoists. Then necessary and sufficient conditions are presented to avoid collision between the hoists. A compact formulation for these constraints is then integrated into the model. We consider the units with multi-capacity as a special case of parallel units; nevertheless, we drive a more efficient model to deal with this problem in particular. Eventually, the logical constraints are translated into a MILP model that can be solved to optimality to minimize both productivity and hoist movement. In the end, we verify the effectiveness of the proposed method by applying it to various practical problems.

Computers & industrial engineering (Print)

Keywords

Dynamic multi-hoist scheduling;, Multi-function parallel units, Logic constraints, Mixed integer programming

CNR authors

Fraizzoli Damiano, Ballarino Andrea, Brusaferri Alessandro, Ramin Danial

CNR institutes

ID: 483499

Year: 2023

Type: Articolo in rivista

Creation: 2023-06-30 12:15:42.000

Last update: 2023-07-19 15:46:33.000

External links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

DOI: 10.1016/j.cie.2023.109360

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:483499

DOI: 10.1016/j.cie.2023.109360