Title: A decision-support model for dock and transport management after inbound logistics disruptions in the automotive sector

Authors: Mohammadtaghi Falsafi; Davide Masera; Julien Mascolo; Rosanna Fornasiero

Addresses: STIIMA-CNR, Via Alfonso Corti, 12, 20133 Milan, Italy ' Centro Ricerche Fiat S.C.p.A., Strada Torino, 50, 10043 Orbassano, TO, Italy ' Centro Ricerche Fiat S.C.p.A., Strada Torino, 50, 10043 Orbassano, TO, Italy ' STIIMA-CNR, Via Alfonso Corti, 12, 20133 Milan, Italy; IEIIT-CNR, Via Gradenigo 6/B, 35131 Padova, Italy

Abstract: One of the major disruptions in automotive supply chain is related to the on-time arrival of components from suppliers to assembly plants. In this paper, we develop an operative decision-support model to avoid the ripple effect of these disruptions on production scheduling. In particular, based on strategies for truck-dock re-assignment and transport mode selection, the model is applied to a case study at Fiat Chrysler Automobiles (FCA). Moreover, the paper elaborates on the resilience and robustness of the supply chain in dealing with vulnerabilities in different phases of decision-making. The model allows supply chain managers to efficiently organise the transport modes of delayed orders, the in-plant material handling equipment, the arrival of trucks in the parking lot, and the use of inbound docks. [Submitted: 10 January 2021; Accepted: 5 April 2021]

Keywords: disruption management; automotive sector; inbound logistics; dock management; transport management; supply chain resilience; truck-dock rescheduling; mixed-integer linear programming; MILP.

DOI: 10.1504/EJIE.2022.121895

European Journal of Industrial Engineering, 2022 Vol.16 No.3, pp.268 - 293

Received: 10 Jan 2021
Accepted: 05 Apr 2021
Published online: 07 Apr 2022 *

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