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The purpose of this paper is to focuss on customer driven supply chains and what this means for the management of freight transport, a key process in the supply chain as it acts as a physical link between customers and suppliers. It aims to assess whether some of the new collaborative models for transport management are delivering better optimised solutions.

The paper is based on a multi‐dimensional methodological approach, which includes empirical, model building, opinion and archival evidence. Much of the thinking and findings in this paper have been derived from a series of quasi‐delphi discussion sessions with logistics industry experts from three sectors, steel, grocery and construction and experienced academics in the fields of logistics and supply chain management.

The paper sets out to argue that new innovative solutions are emerging for better transport optimisation, that exploit the competitive power of collaboration, both vertically with supply chain partners and horizontally with other logistics service providers (LSPs).

The research was largely focused on the road freight transport industry in the UK and Europe. However, it is felt that similar thinking can be deployed in other settings for alternative transport modes and other geographical regions. From an academic perspective the paper contributes to the notion that supply chain management as well as focussing on vertical coordination and process integration also needs to incorporate the potential considerable power of horizontal collaboration.

In particular it is original in that it highlights how important it is to combine vertical collaboration with horizontal collaboration if better optimised transport solutions are to be achieved. This is of considerable value and interest both to practitioner and academic communities.

This paper aims to present a linear mathematical framework for modeling and optimizing road transport infrastructure. The framework assesses and optimizes performance of existing transport facility rather than relying on building new roads for the ever-increasing travel demand.

The mathematical framework is built upon a traffic model called Cell Transmission Model (CTM). CTM describes the relationship and evolution of traffic flow and concentration over space and time. The model is parsimonious and accurate in predicting traffic dynamics. More importantly, the traffic flow model is piecewise linear with which the corresponding transport facility optimization problem can be formulated as a Linear Programming (LP) problem and solved by established solution algorithm for global optimality.

We select a section on England Motorway M25 as a case study. With traffic data, we first calibrate the CTM, and we are able to produce traffic estimation with a reasonable error rate of 12 per cent. The corresponding LP then seeks an optimal ramp metering strategy that minimizes the delay on the motorway. It is shown that an optimal and practical strategy can be derived which reduces the motorway delay by 10 per cent without significantly hurting the surrounding connectors.

Instead of the tedious microscopic models used by many traditional tools, the underlying CTM is parsimonious and reliable. The tools developed herein are based upon plausible traffic theory and will be accessible for a wide range of users. The LP formulation can be easily implemented and solved for optimal and practical control strategies for real-world transport networks by using existing computer software (CPLEX) within reasonable computational time. The present work will certainly contribute to the sustainable development of transport facility.

This paper systematically evaluates the existing literature of innovations in freight transport, including all modes, to uncover the key research themes and methodologies employed by researchers to study innovations and their implications in this industry. It analyses the role of transport and the impact of innovations during crises, such as COVID-19.

Qualitative and quantitative analysis of the innovations in freight transport unravels the pre-requisites of such endeavours in achieving a resilient and sustainable transport network that effectively and efficiently operates during a crisis. The authors performed keyword co-occurrence network (KCON) analysis and research focus parallelship network (RFPN) analysis using BibExcel and Gephi to determine the major resulting research streams in freight transport.

The RFPN identified five emerging themes: transport operations, technological innovation, transport economics, transport policy and resilience and disaster management. Optimisation and simulation techniques, and more recently, artificial intelligence and machine learning (ML) approaches, have been used to model and solve freight transport problems. Automation innovations have also penetrated freight and supply chains. Information and communication technology (ICT)-based innovations have also been found to be effective in building resilient supply chains.

Given the growth of e-commerce during COVID-19 and the resulting logistics demand, along with the need for transporting food and medical emergency products, the role of automation, optimisation, monitoring systems and risk management in the transport industry has become more salient. Transport companies need to improve their operational efficiency using innovative technologies and data science for informed decision-making.

This paper advises researchers and practitioners involved in freight transport and innovation about main directions and gaps in the field through an integrated approach for evaluating research undertaken in the area. This paper also highlights the role of crisis, e.g. COVID-19, and its impacts on freight transport. Major contributions of this paper are as follows: (1) a qualitative and quantitative, systematic and effective assessment of the literature on freight transport through a network analysis of keywords supplemented by a review of the text of 148 papers; (2) unravelling major research areas; (3) identifying innovations in freight transport and their classification as technological and non-technological and (4) investigating the impact of crises and disruptions in freight transport.

The environmental impacts of transportation are rarely brought into decision making frameworks. The purpose of this paper is to introduce a framework and tool to help in these organizational decisions.

A survey analysis was carried out amongst waste‐management companies within the project ETIENNE. Using this information, drivers and hurdles to the environmentally motivated optimization of transport were identified.

This research framework presents results of perceived hurdles in transport process optimization. Results of the research are grounded with definitions and discussion of the relevance of logistic processes.

Analysis provided in this paper shows that there is no practicable tool to consider environmental impacts in management decisions in transportation. Therefore, a software tool, the so‐called ETIENNE‐Tool, for the evaluation of transportation alternatives, is developed. Theoretical principles for the environmental evaluation of transport processes are also proposed.

Organizational tasks – such as the selection and planning of transportation relations; employment of means of transportation; planning of locations; finally performing of operative business – can be fulfilled in a more environmentally sound manner.

Based on the ETIENNE‐Tool and taking into consideration stakeholders' requirements, different transportation chains for one transportation task can be easily compared and transportation can be planned efficiently.

Topology optimization is a method used for developing optimized geometric designs by distributing material pixels in a given design space that maximizes a chosen quantity of interest (QoI) subject to constraints. The purpose of this study is to develop a problem-agnostic automatic differentiation (AD) framework to compute sensitivities of the QoI required for density distribution-based topology optimization in an unstructured co-located cell-centered finite volume framework. Using this AD framework, the authors develop and demonstrate the topology optimization procedure for multi-dimensional steady-state heat conduction problems.

Topology optimization is performed using the well-established solid isotropic material with penalization approach. The method of moving asymptotes, a gradient-based optimization algorithm, is used to perform the optimization. The sensitivities of the QoI with respect to design variables, required for optimization algorithm, are computed using a discrete adjoint method with a novel AD library named residual automatic partial differentiator (Rapid).

Topologies that maximize or minimize relevant quantities of interest in heat conduction applications are presented. The efficacy of the technique is demonstrated using a variety of realistic heat transfer applications in both two and three dimensions, in conjugate heat transfer problems with finite conductivity ratios and in non-rectangular/non-cuboidal domains.

In contrast to most published work which has either used finite element methods or Cartesian finite volume methods for transport applications, the topology optimization procedure is developed in a general unstructured finite volume framework. This permits topology optimization for flow and heat transfer applications in complex design domains such as those encountered in industry. In addition, the Rapid library is designed to provide a problem-agnostic pathway to automatically compute all required derivatives to machine accuracy. This obviates the necessity to write new code for finding sensitivities when new physics are added or new cost functions are considered and permits general-purpose implementations of topology optimization for complex industrial applications.

This contribution describes the urban freight structure in the Zurich area, the possibilites and the potential for rail and intermodal transport. It contains results from studies made for the authorities of the city and the canton of Zurich and also from European research projects. It also notes supporting measures and framework conditions to reach a modal shift from road to rail based transport.

South Africa's logistics cost measurement was expanded to include externality costs, and scenarios based on the key exogenous risks were developed to inform mitigation strategies. This paper aims to discuss these issues.

The research approach is quantitative, based on a gravity-orientated freight flow model, a road transport cost model, actual transport costs for other modes, a warehousing cost survey, an inventory delay calculation (to inform warehousing cost calculations and inventory financing costs) and an externality cost calculation.

Transport cost pressures are expected to deteriorate due to the increasingly negative outlook for the oil price and the internalisation of externality costs. The nature of these forces compels transport cost challenges to be addressed strategically through collaborative, industry-wide and even nationwide initiatives.

Key limitations are inconsistent commodity classification schemes across information sources, and incomplete container content data. The researchers are collaborating with information providers to address these issues and refine model accuracy and forecasting.

The exogenous risks strengthen the argument for new approaches to South Africa's logistics cost challenges driven by the high densities of corridor freight flows.

The inclusion of externality costs highlighted the negative environmental impact of the current modal configuration and provides impetus for change.

Major advancements to logistics cost modelling were made by incorporating externality costs and developing scenarios for risk mitigation. Freight flow data granularity (in excess of one million records) allows both aggregation to national-level intelligence to inform policies, large-scale infrastructure investments and industrial positioning, and disaggregation to enable practical application.

This paper aims to elaborate on current research on fourth party logistics “4PL” by offering a taxonomy that provides a deeper understanding of 4PL service offerings, thus drawing clear frontiers between existing 4PL business models.

The authors collected data using semi-structured interviews conducted with 60 logistics executives working in 44 “4PL” providers located in France. Using automatic analysis of textual data, the authors combined spatial visualisation, clustering analysis and hierarchical descending classification to generate the taxonomy.

Two key dimensions emerged, allowing the authors to clearly identify and distinguish four 4PL business models: the level of reliance on interpersonal relationships and the level of involvement in 4PL service offering. As a result, 4PL providers fall under one of the following business models in the taxonomy: (1) The Metronome, (2) The Architect, (3) The Nostalgic and (4) The Minimalist.

The study focuses on investigating 4PL providers located in France; thus, future studies should explore the classification of 4PL business models across different cultural contexts and social structures.

The findings offer valuable managerial insights for logistics executives and clients of 4PL to better orient their needs, the negotiations and the contracting process with 4PLs.

Using a Lexicometric analysis, the authors develop taxonomy of 4PL service providers based on empirical evidence from logistics executives; the work addresses the existing confusion regarding the conceptualisation of 4PL firms with other types of logistical providers and the role of in/formal interpersonal relationships in the logistical intermediation.

The purpose of this paper is to examine the environmental sustainability practices of third-party logistics providers (TPLs) in a developing country and analyze the efforts made by TPLs to implement green practices through a case study of Moroccan TPLs.

This qualitative case study of Moroccan TPLs was conducted using an interview guide.

The findings indicate that the internal and external drivers motivate TPLs to implement green practices while internal and external obstacles hinder them. The authors identified two groups of TPLs, each with a specific environmental sustainability approach. The results indicate also that environmental sustainability is at an early stage of development in Moroccan TPLs. Based on these findings, the authors were able to develop several propositions for further research. It is suggested that TPLs market coverage can influence positively their green initiative; the lack of collaboration and partners involvement hinders TPLs environmental initiatives; and the lack of clear environmental strategy limits TPLs environmental sustainability initiatives.

This study has some limitations that provide future research opportunities. Because this study is qualitative, further statistical support is needed to justify wider generalization of its findings. The possibility of generalizing the present findings to countries beyond Morocco is limited by the fact that data were collected exclusively there. Studies might therefore do well to investigate TPLs in developing countries other than Morocco to increase the external validity of the results. Also, the research could be expanded by taking into account how shippers or client companies collaborate with TPLs to improve sustainability initiatives.

The results can be used to inform companies about environmental sustainability initiatives that have been implemented or to identify practices that can be adopted.

The relevant literature has centered on advanced countries, and few studies have been conducted in the logistics market. Research on the sustainable initiatives of TPLs in developing countries in general and African countries in particular is sparse. This paper addresses this gap by investigating the sustainable practices of TPLs in Morocco.

Outsourcing of business-logistics services is a well-established business practice that allows an outsourcer to obtain the services or products from a logistics-service provider (LSP). The outsourcer can order a range of logistics services, including but not limited to warehousing, transportation, and forwarding. The outsourcers had traditionally focused on service-provider selection criteria such as costs, quality, and responsiveness while having devoted considerably less attention to how sustainably the practices are carried out. Past research identified different external and internal motivators that facilitate consideration of sustainability in selection of the service providers, whereas the current study investigates the outsourcers’ perception of importance of environmental sustainability in adoption of green logistics practices and selection of LSPs. We use a vantage point of outsourcers (“buyers”) to conduct the quantitative research based on a survey conducted on large manufacturing companies. The findings reveal a (mis)match between the perception of importance and realized inclusion of environmental-sustainability criteria. Ultimately, this study finds a link between the levels of perception and rate of adoption, and provides recommendations for the future adoption of environmental-sustainability criteria in the selection of the LSPs.