Science and Technology Production
Article
Authorship
Basán, Natalia Paola
;
COCCOLA, MARIANA EVANGELINA
;
García del Valle, Alejandro
;
MENDEZ, CARLOS ALBERTO
Date
2020
Publishing House and Editing Place
PERGAMON-ELSEVIER SCIENCE LTD
Magazine
COMPUTERS AND CHEMICAL ENGINEERING,
vol. 136
PERGAMON-ELSEVIER SCIENCE LTD
Summary
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In the last years, the operational research on scheduling problems has been moving away from rigorous optimization approaches into solution strategies being capable of returning practical and fast solutions for large-scale industrial problems. Following this line, this paper proposes a novel MILP-based decompo- sition procedure for solving scheduling problems arising in flexible manufacturing environments, which generally involve multipurpose units and assembly operations. The solution strategy...
In the last years, the operational research on scheduling problems has been moving away from rigorous optimization approaches into solution strategies being capable of returning practical and fast solutions for large-scale industrial problems. Following this line, this paper proposes a novel MILP-based decompo- sition procedure for solving scheduling problems arising in flexible manufacturing environments, which generally involve multipurpose units and assembly operations. The solution strategy also considers re- design constraints with the goal of improving the efficiency of the production system, preventing bottle- necks and balancing the equipment utilization. The proposal is validated through the resolution of several instances derived from three real-world case-studies coming from different industrial sectors. The com- putational results show that the decomposition procedure is capable of generating high quality solutions, sometimes the optimal one, with minimum computational effort for all problem instances considered.
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Key Words
scheduling problemredesign problemmultipurpose unitsMILP modeldecomposition procedure
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