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The paper aims to explore the relationship between time‐related variables in global ocean transportation networks (GOTNs) and the shipper's inventory management performance. The authors modelled fill rates with daily and weekly sailings, and analysed the impact of variability on these on the shipper's inventory management system.

The authors conducted simulation modelling of the above variables, and supplemented these by means of interviews with executives in a number of liner operators, 3PLs, freight forwarders and a large automotive shipper.

Improvements in variability have different impacts, depending on the source of the variability and the frequency of the shipments. The highest inventory reduction potential arises from a combination of high reliability and improved frequency.

The paper demonstrates the potential advantages of reduced variability and improved frequency of sailings. Port‐to port (P2P) has been positioned in the context of door‐to‐door (D2D) supply chain movements.

The paper develops clear quantitative analyses of time‐based factors in operating GOTNs.

This paper presents an overview of the recent development of Eurasian rail freight in the Belt and Road era and further evaluates its service quality in terms of transit times and transport costs compared to other transport modes in containerised supply chains between Europe and China.

A trade-off model of transit time and transport costs based on quantitative data from primary and secondary sources is developed to demonstrate the market niche for Eurasian rail freight vis-a-vis the more established modes of transport of sea, air and sea/air. In a scenario analysis, further cargo attributes influencing modal choice are employed to show for which cargo type Eurasian rail freight service is favourable from a shipper's point of view.

At present, Eurasian rail freight is about 80% less expensive than air freight with only half of the transit time of conventional sea freight. Our scenario analysis further suggests that for shipping time-sensitive goods with lower cargo value ranging from $US1.23/kg to $US10.89/kg as well as goods with lower time sensitivity and higher value in a range of $US2.46/kg to $US21.78/kg, total logistics costs of Eurasian rail freight service rail is cheaper than all other modes of transport.

As an emerging competitive solution, Eurasian rail freight demonstrates to be an option beneficial in terms of transport cost, transit time, reliability and service availability, which offers a cost-efficient option enabling shippers to build up agile and more sustainable supply chains between China and Europe.

Our study firstly provides a comprehensive assessment of present Eurasian rail freight including a thorough comparison with alternative modes of transport from a shipper's point of view.

The objective of this paper is to contribute to Australian berry supply chains with a relevant identification regarding the possible data driven interventions that stakeholders can take while the berries are in transit.

An exploratory series of semi-structured interviews was conducted through six Australian experts in the industry with more than 20 years of experience in Australian berry supply chains and the Australian perishable food industry, to identify key possible in-transit interventions that could be implemented in the Australian berry industry.

The analysis of the interviews revealed a total of 18 possible in-transit interventions. An important finding is that in-transit interventions are made possible by the use of real-time data gathered through IoT devices such as Active Radio Frequency Identification, Time and Temperature Indicators interacting with Wireless Sensor Networks. Another key finding is that Australian berry growers and retailers do possess the technologies and the resources necessary to make in-transit interventions possible, however they have yet applied these technologies to operational decision-making and interventions based on the product, rather focussing on supply chain transactions and events.

Since the research focusses on an Australian context, its findings may or may not be applicable to other countries. The research is exploratory in nature, and its findings should be verified by future research, in particular to test whether the in-transit interventions proposed here can be implemented in a cost-efficient way.

To the authors' knowledge, this publication is the first known academic article to provide a clear understanding of the Australian berry industry from a supply chain and logistics perspective, and the first to explore possible data driven in-transit interventions in perishable food supply chains.

The purpose of this paper is to fit a logit model for dry bulkers transporting grains through the Panama Canal versus alternative routes destined to East Asia, originating on the US Gulf and East Coast. This is with the purpose of better understanding the attributes.

In this paper, grain transits both through the Panama Canal and alternative routes, which are examined, and a logit model is developed to explain the route decision from a carrier/vessel operator point of view.

Transit draft is the most important attribute in the route decision process for grains according to this study. Also, Panamax bulkers are the preferred vessel size into China, especially through the Cape of Good Hope route, impacting Panama Canal’s market share for grains.

This research used only a full year of grain traffic data approximating fiscal year 2018 (October 1, 2017 to September 30, 2018). Data will come mostly from the Panama Canal transit data and observations using IHS’s Market Intelligence Network (MINT).

This paper is highly dependent on visual observations of grains vessels through alternative routes using AIS data from MINT software.

Research work describes in‐transit distribution strategy by determining and analyzing key principles of it as well as by illustrating its application in practice. Emphasis on in‐transit distribution strategy is to turn transportation pipeline as a mobile inventory holding place, and actively dispatching goods to a destination, where there is a predicted demand before any customer orders are actually received. The use of this strategy is supported by current trade flows: emerging market trade has increased considerably, but simultaneously Swedish export prices, for example, have significantly decreased. The paper aims to address this issue.

In‐transit strategy is examined through a multiple case study from industrial companies having main factory operations in Sweden as well as using a system dynamics simulation model, and Monte Carlo analysis. These are supported by the second hand data of trade flows between Sweden, and India and China.

In order to be successful with in‐transit strategy, the case studies show that excellent planning, working closely with customers, first‐class market knowledge, and an enterprise resource planning (ERP) system that is able to support the process sufficiently are required. Other highlighted requirements of this strategy are low variation in demand, and predictable distribution lead‐time. Simulation study of one hypothetical product group verified case study findings, but the authors find it interesting that manufacturing output variance especially is very sensitive regarding to the overall results. If variation increases, then in‐transit strategy is not able to deliver for customers with the necessary accuracy. Also increasing average customer demand, and longer transportation delays lead to undesired outcomes (e.g. too much inventory or out of stock situations).

The case study and second hand analysis is limited to one country, and further evidence is needed from other European, and possibly North American companies, to verify these findings.

There has been a rather limited amount of research works completed from the use of in‐transit strategy, even if increased trade activity and lower price of exported items is that of the old west in their exports to emerging markets, and continues to be so in the future (was even strong to China during credit crunch year 2009). Our research is seminal in terms of a developed system dynamics simulation model.

Consolidation, the grouping of several small shipments into one at a designated location, can reduce total logistics cost. Total logistics cost includes consolidation, transportation and inventory costs. Identifying where cost‐saving opportunities exist is often confused by the interrelated nature of these various costs.

This paper reports on the results of a research project aimed at estimating the costs of border crossing transit time and uncertainty for the U.S. and Canadian economies. The cost estimates are based on a review of prior reports, some 20 site visits to seven key crossings, and 173 interviews of knowledgeable organizations/persons. The key finding is that border transit time and uncertainty are costing some U.S.$4.01 billion, or 1.05% of total 2001 merchandise trade, and 1.58% of truck-based trade levels. The primary implication of the research is that it provides a baseline estimate of costs that can be used in cost-benefit analysis of alternative border management strategies.