The changing role of ports in supply-chain management: an empirical analysis

As integrated supply-chain management (SCM) is now at the epicentre of business transformation, firms are breaking down boundaries between internal functions, as well as between the enterprise itself and key partners in the value chain (e.g. customers, distributors, suppliers and carriers). One of the main goals of such new management approach is to get everyone in the supply chain into a common platform of logistics transactions and information systems.

Against such background, the aim of this work is to analyse how and if port operators can face the challenge of higher integration, on the assumption that the higher the integration between the actors the higher the competitiveness of the whole supply chain.

Accordingly, we adopted an SCM approach in the analysis of the port of Le Havre in Renault's supply chain. More specifically, we referred to the Lambert tri-dimensional model based on supply chain's structure (actors), key business processes and links between actors. The field work—which mainly consisted of semi-structured interviews to Renault, logistics and port operators, and, finally, to the Le Havre Port Authority—was crucial to gather the needed information.     

Value creation in the port: opening the boundaries to the market

In the era of fierce competition among ports as elements of value chain systems, the opening of the boundaries to the market represents a crucial challenge that port authority has to cope with, in order to guarantee a lasting economic and social development of the port and its hinterland. We propose a theoretical framework to analyse value creation in the port and its hinterland through two core concepts: resource allocation and interaction. We illustrate such framework with the case of the port of Naples and, specifically, the contribution of the port authority and other port business operators to the value creation process of Garofalo, an export-oriented firm located in its hinterland. A discussion and suggestions for future research are provided in the last section.     

A dynamic route choice model for public transport networks with boarding queues

Abstract

The concepts of optimal strategy and hyperpath were born within the framework of static frequency-based public transport assignment, where it is assumed that travel times and frequencies do not change over time and no overcrowding occurs. However, the formation of queues at public transport stops can prevent passengers from boarding the first vehicle approaching and can thus lead to additional delays in their trip. Assuming that passengers know from previous experience that for certain stops/lines they will have to wait for the arrival of the 2nd, 3rd, …, k-th vehicle, they may alter their route choices, thus resulting in a different assignment of flows across the network. The aim of this paper is to investigate route choice behaviour changes as a result of the formation and dispersion of queues at stops within the framework of optimal travel strategies. A new model is developed, based on modifications of existing algorithms.     

Time-dependent Hyperstar algorithm for robust vehicle navigation

The vehicle navigation problem studied in Bell (2009) is revisited and a time-dependent reverse Hyperstar algorithm is presented. This minimises the expected time of arrival at the destination, and all intermediate nodes, where expectation is based on a pessimistic (or risk-averse) view of unknown link delays. This may also be regarded as a hyperpath version of the Chabini and Lan (2002) algorithm, which itself is a time-dependent A^* algorithm. Links are assigned undelayed travel times and maximum delays, both of which are potentially functions of the time of arrival at the respective link. Probabilities for link use are sought that minimise the driver’s maximum exposure to delay on the approach to each node, leading to the determination of a pessimistic expected time of arrival at the destination and all intermediate nodes. Since the context considered is vehicle navigation, the probability of link use measures link attractiveness, so a link with a zero probability of use is unattractive while a link with a probability of use equal to one will have no attractive alternatives. A solution algorithm is presented and proven to solve the problem provided the node potentials are feasible and a FIFO condition applies to undelayed link travel times. The paper concludes with a numerical example.     

The changing role of ports in supply-chain management: an empirical analysis

As integrated supply-chain management (SCM) is now at the epicentre of business transformation, firms are breaking down boundaries between internal functions, as well as between the enterprise itself and key partners in the value chain (e.g. customers, distributors, suppliers and carriers). One of the main goals of such new management approach is to get everyone in the supply chain into a common platform of logistics transactions and information systems.

Against such background, the aim of this work is to analyse how and if port operators can face the challenge of higher integration, on the assumption that the higher the integration between the actors the higher the competitiveness of the whole supply chain.

Accordingly, we adopted an SCM approach in the analysis of the port of Le Havre in Renault's supply chain. More specifically, we referred to the Lambert tri-dimensional model based on supply chain's structure (actors), key business processes and links between actors. The field work—which mainly consisted of semi-structured interviews to Renault, logistics and port operators, and, finally, to the Le Havre Port Authority—was crucial to gather the needed information.