A procedure for planning and resources' management in intermodal terminals is presented. It integrates Timed Petri Nets (TPNs) and Data Envelopment Analysis (DEA) and consists of three steps: the terminal modeling via TPNs to model the regular behavior; the evaluation of whether the current configuration may cope with increased freight flows; if not, the analysis by cross-efficiency DEA of alternative planning solutions. The procedure provides the decision maker with number, capacity, and schedule of resources to tackle the flows increase. The method is evaluated by a real case study, showing that integrating TPNs and DEA allows taking planning decisions under conflicting requirements. (C) 2017 Elsevier Ltd. All rights reserved.

Cavone, G., Dotoli, M., Epicoco, N., Seatzu, C. (2017). Intermodal terminal planning by Petri Nets and Data Envelopment Analysis, 69, 9-22 [10.1016/j.conengprac.2017.08.007].

Intermodal terminal planning by Petri Nets and Data Envelopment Analysis

Graziana Cavone;
2017

Abstract

A procedure for planning and resources' management in intermodal terminals is presented. It integrates Timed Petri Nets (TPNs) and Data Envelopment Analysis (DEA) and consists of three steps: the terminal modeling via TPNs to model the regular behavior; the evaluation of whether the current configuration may cope with increased freight flows; if not, the analysis by cross-efficiency DEA of alternative planning solutions. The procedure provides the decision maker with number, capacity, and schedule of resources to tackle the flows increase. The method is evaluated by a real case study, showing that integrating TPNs and DEA allows taking planning decisions under conflicting requirements. (C) 2017 Elsevier Ltd. All rights reserved.
Cavone, G., Dotoli, M., Epicoco, N., Seatzu, C. (2017). Intermodal terminal planning by Petri Nets and Data Envelopment Analysis, 69, 9-22 [10.1016/j.conengprac.2017.08.007].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/419267
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