A multi-objective optimizer Decision Support System (DSS) to minimize the operating cost, the carbon footprint and the delivery time in the design of multi-modal Distribution Networks (DNs) is presented to overcome the widely adopted methodologies focused on the cost minimization, only. The proposed approach simultaneously assesses three independent objective functions, evaluating the network costs, the Carbon Footprint (CO2 emissions) and the shipping time from the producers to the final retailers. The DSS manages multimodal four-level (three-stage) DNs, best connecting the producers to the final retailers, through a set of Distribution Centres (DCs). It allows multiple transport modes and inter-modality options looking to the most effective DN configuration from the introduced multi-objective perspective. The three optimization criteria can be considered independently or solved simultaneously, through the so-called Pareto frontier approach. Finally, the proposed DSS is validated against a case study about the delivery of Italian fresh food to several European retailers.

Gamberi, M., Bortolini, M., Pilati, F., Regattieri, A. (2015). Multi-objective optimizer for multimodal distribution networks: Operating cost, carbon footprint and delivery time. Hershey, PA : IGI Global [10.4018/978-1-4666-8648-9.ch013].

Multi-objective optimizer for multimodal distribution networks: Operating cost, carbon footprint and delivery time

GAMBERI, MAURO;BORTOLINI, MARCO;PILATI, FRANCESCO;REGATTIERI, ALBERTO
2015

Abstract

A multi-objective optimizer Decision Support System (DSS) to minimize the operating cost, the carbon footprint and the delivery time in the design of multi-modal Distribution Networks (DNs) is presented to overcome the widely adopted methodologies focused on the cost minimization, only. The proposed approach simultaneously assesses three independent objective functions, evaluating the network costs, the Carbon Footprint (CO2 emissions) and the shipping time from the producers to the final retailers. The DSS manages multimodal four-level (three-stage) DNs, best connecting the producers to the final retailers, through a set of Distribution Centres (DCs). It allows multiple transport modes and inter-modality options looking to the most effective DN configuration from the introduced multi-objective perspective. The three optimization criteria can be considered independently or solved simultaneously, through the so-called Pareto frontier approach. Finally, the proposed DSS is validated against a case study about the delivery of Italian fresh food to several European retailers.
2015
Using Decision Support Systems for Transportation Planning Efficiency
330
370
Gamberi, M., Bortolini, M., Pilati, F., Regattieri, A. (2015). Multi-objective optimizer for multimodal distribution networks: Operating cost, carbon footprint and delivery time. Hershey, PA : IGI Global [10.4018/978-1-4666-8648-9.ch013].
Gamberi, Mauro; Bortolini, Marco; Pilati, Francesco; Regattieri, Alberto
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/552698
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