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Title: Dual-resource Constrained Scheduling for Quality Control Laboratories
Authors: Cunha, M.
Viegas, J.
Martins, M.
Coito, T.
Figueiredo, Joao
Sousa, J.
Vieira, S.
Keywords: Scheduling
dual-resource constraint
quality control
flexible job shop
mixed integer linear programming
Issue Date: 2019
Publisher: 9th IFAC Conf. on Manufacturing Modelling, Management and Control
Citation: M. Cunha, J. Viegas, M. Martins, T. Coito, J. Figueiredo, J. Sousa, S. Vieira, [2019] “Dual-resource Constrained Scheduling for Quality Control Laboratories”, Intl. IFAC/IEEE/IFIP/IFORS Conf. on Manufacturing Modelling, Management and Control - 9th MIM 2019, Berlin, Germany
Abstract: This work presents a novel formulation for quality control laboratory scheduling considering both equipment and analysts as constraints. The problem is modelled as a dualresource constrained exible job shop problem. The formulation considers analyst's tasks in multiple time points during the processing of samples. The mathematical model is implemented as a mixed integer linear programming model (MILP) aiming to minimize makespan. Two sets of instances for the scheduling problem are developed and solved. The rst instance consists on a small example that illustrates the proposed formulation and is solved to optimality. The second instance mimics the real industrial problem and shows the challenges resulting from growing complexity.
Type: article
Appears in Collections:CEM - Artigos em Livros de Actas/Proceedings

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