Abstract
International container transport is the backbone of global supply chains. Hinterland transport, the transport from the port to the final destination and vice versa, is an important component of international container transport. However, academic attention to hinterland transport has emerged only recently. This chapter discusses business models and network design in hinterland transport. Understanding business models is relevant, as many different types of companies (e.g., shipping lines, terminal operating companies and forwarders) play a role in hinterland transport. Their business models influence how they position themselves in the market, their stance concerning cooperation and coordination in hinterland transport, and their scope in network design. Network design is a core issue in hinterland transport. New services need to be designed—and in such a way that they are expected to be profitable. Furthermore, current service patterns only change through deliberate redesign. So competition through the (re)design of transport services is a very important—perhaps the most important—form of competition in intermodal freight transport. One potentially promising innovation in this respect is the extended gate concept, where an inland hub becomes the ‘virtual gate’ of the deep sea terminal.
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Notes
- 1.
Even though total transported volumes of bulk goods (iron ore, crude oil, grain etc.) are larger than total container volumes, these container volumes impact more shippers and contain high value intermediates and (semi)finished products.
- 2.
These nine levels together encompass all direct activities in transport chains. Not included are the many indirect, supportive activities, such as ship finance, transport insurance, customs, and container cleaning and repair.
- 3.
- 4.
Three reasons explain why such alignment is problematic (see van der Horst and de Langen 2008). First of all, the lack of contracts between firms in the transport chain constrains the use of incentives to align interests. Secondly, the transaction costs of coordination required to align interests are often very high. Thirdly, strategic behavior may constrain alignment in transport chains. Firms do aim to align interests, and in some cases have been successful, but by and large, alignment is far from perfect
- 5.
Shafer et al. (2005) define a business model as ‘a firm’s underlying core logic for creating and capturing value within a value network’. The core logic refers to the coherence of core strategic choices. For example, the business model of a non-asset-based logistics service provider is to minimize investments in assets, whether they are ships, locomotives, warehouses or containers. Capturing value refers to the revenue streams and pricing structure. For example, does a terminal company charge for cargo handling only, or also for storage? The “value network” refers to the position of one firm in the supply chain, and its network relationships with other firms.
- 6.
One of the logistic concepts of the extended gate is delayed differentiation (Lee and Tang 1997). Delayed differentiation increases flexibility and requires less inventory to obtain the same customer service level, since the inventories of end products can be reduced.
- 7.
This business model innovation combines two types of business model innovations, distinguished by IBM Consulting (2008): an enterprise model innovation, as the ‘scope’ of the company is changed, as well as a revenue model innovation: a new revenue stream is developed. The third IBM type is the industry model innovation, where a new industry is developed or an industry is redefined. This has not happened (yet) in international container freight transport. But the introduction of the freight container itself was a true industry model innovation.
- 8.
Some containers are used for the entire door-to-door chain. But especially in the US, a substantial amount of freight is transloaded from a container to a trailer. The important advantages are that fewer containers need to be repositioned, and that more goods can be transported by a single truck.
- 9.
Thus, the H&S model generates (more) significant cost savings in situations where the capacity of the waterways to the inland terminal is limited, but the waterway between the port and the hub is not. This is often the case with inland waterways.
- 10.
The additional handlings at the hub terminal were not accounted for. These will lead to additional fuel consumption by equipment there, but that is likely to be outweighed by fuel reductions of truck and barge transportation. This issue needs to be taken into account when determining the carbon footprint of the supply chain.
- 11.
In the 80 and 90 % import scenarios (contrary to the 10 and 20 % scenarios), the amount of full containers and therefore the re-use potential is large, but only a few of them are needed to meet empty container demand. This explains why the graphs for the 80 and 90 % scenarios are constant after a certain re-use fraction is reached.
- 12.
Handling time, waiting time at the port terminal, and congestion time on the highway are all included in \( tw_{P,i}^{T}. \).
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Appendix: Assumptions, the Formal Model and Relevant Parameters
Appendix: Assumptions, the Formal Model and Relevant Parameters
1.1 Assumptions
-
1.
Once a container is loaded on a truck in the port area, this truck directly drives to the shipper site, without intermediate handling at the hub or inland terminal, as truck transport is typically used when the container needs to be transported quickly.
-
2.
All empty equipment that can be re-used in the H&S network, but which cannot be used for a terminal’s own service area, is transported back to the hub before it is re-distributed, i.e., no mutual empty equipment exchange between inland terminals is assumed.
-
3.
All empty containers not being re-used are transported back to either a port terminal or an empty depot in the port area, but all full containers destined for export are transported back to a port terminal only.
-
4.
Transportation is executed using only standard 20ft and standard 40ft containers. The impact of this assumption on eventual results is negligible. (The share of standard containers in total container volume is very substantial. Furthermore, other-sized containers only marginally influence costs or are not used for the operations under consideration.)
-
5.
Empty and full containers are shipped between two nodes in the same barge.
1.2 Not Included in the Model
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6.
The handling costs and holding costs of the goods in the container. This follows from the assumption that the overall door-to-door time differs only marginally in both alternatives.
-
7.
Container storage costs are not taken into account explicitly in the model; costs of additional storage capacity are in fact negligible compared to those of handling and transportation.
1.3 The Model
See Table 15.1 for a description of parameters and their ranges in value.
1.3.1 A: Direct Call (Base Case)
Volume calculation
The following formula was derived for determining the total volume of containers, \( {\mathbf{V}}_{i} \), that needs to be transported between the port and the service area of a terminal:
The minimum expression in this function needs to be included, as one cannot re-use more containers than the total demand for empty containers in the service area.
Barge connection calculation
Based on an empirical analysis of a number of inland terminals, it is assumed demand is normally distributed. Thus, the required capacity, \( {\mathbf{c}}_{i}^{\min } \), of the barge connection can be calculated as follows:
where \( \sigma_{v,i} \) is calculated as
Using the value obtained for the required capacity, one can calculate the frequency, \( f_{i} , \) of the barge connection. However, that frequency must be high enough to offer a certain service. Therefore, the formula becomes
The average total round-trip time between port and inland terminal, \( TT_{P,i} \), was calculated as
The final part of the formula shows the average handling time during one round trip.
The slack time, \( tw_{P}^{B} , \) required to achieve a certain service level, was found via the following formula
The total barging costs per year, \( TC_{P,i}^{B} \) for maintaining the barge connection between the port and terminal \( i \) was then calculated as
where
and
In the above, \( dc_{c}^{B} ,pc_{c}^{B} ,ic_{c}^{B} ,mc_{c}^{B} \) stand for yearly depreciation, personnel, insurance and maintenance cost of a barge with capacity \( c;\;nb_{P,i} \) represents the number of barges required per year; and \( TO \) denotes the total yearly operating time of terminals and barges.
The total annual costs of barge transport for the base case were then obtained
Truck connection calculation
The yearly costs \( TC_{P,i}^{T} \) of direct, unimodal transport between the port and the shippers in the service area of terminal \( i \) are
With the following formula, the trip cost \( tc_{P,i} \) between the port and inland terminal was calculatedFootnote 12:
Here \( Td_{P,i} \) represents the average total distance travelled for a round trip from the port to the service area of terminal \( i, \) and was determined as:
The yearly costs of truck transport from the inland terminal to its service area, \( TC_{t,i}^{T} \), were found similarly.
Adding these costs to the costs of direct trucking between the port and the hinterland, the total costs \( TC^{T} \)of truck transport were thus
Handling costs calculation
The yearly amount of truck handlings, \( h_{i}^{T} \), and the yearly amount of barge handlings at inland terminal \( i,h_{i}^{B} , \) were obtained using the following two formulas;
For terminal handlings, the assumption was made that barge handlings are more expensive than truck handlings, due to the use of more expensive equipment and additional resources when handling barges. It was therefore assumed the variable costs for barge handlings were a factor \( \varepsilon \) larger than the variable costs of truck handling. The total handling costs for terminal \( i,TC_{i}^{H} , \) could then be calculated as
Let \( h_{P}^{T} \) and \( h_{P}^{B} \) respectively denote the truck handlings and barge handlings at the port. Equations. (15.21) and (15.22) were employed for the volumes of handling there.
Now consider the empty-depot handlings, where \( h_{E}^{T} \) and \( h_{E}^{B} \) represent truck handlings and barge handlings at the empty depot respectively:
and
In those equations, \( \beta \) is the fraction of empty containers brought back to the port terminal.
The total annual handling costs for the port terminal and the empty depot can then be found from Eqs. (15.25) and (15.26):
Total costs calculation
The total yearly costs, \( TC^{tot} \)of the base case can be obtained using the following formula:
1.3.2 B: The hub-and-spoke model
Volume calculation
Because the volumes transported between the port and inland terminals are consolidated at the hub terminal, determination of those volumes differ considerably from that of the base case. The annual volume transported directly between the port and terminal \( i \) is given by
The remaining volume that needs to be transported towards the service area of terminal \( i \), \( {\mathbf{V}}_{i}^{T,B} , \) was calculated as:
The yearly volume transported by truck between the hub and the service area of a terminal is then
For yearly volume transported by barge between the hub and terminal \( i \), the following equation is used:
For the yearly volume transported by barge between the port and the hub terminal, \( {\mathbf{V}}_{P,H}^{B} \), the calculations are somewhat more difficult, and are based on Eq. (15.32):
Barge connection calculation
The frequency of the barge connection between the port and hub, and the number of port calls per visit, differ from the base case. This is because the connection needs to be point-to-point in the H&S network, to reduce the uncertainty and risk. That frequency was therefore calculated as follows:
(Note the difference from the number of port calls per visit as given by Eq. (15.6)). Because of the accumulation of demand for inland terminals at the hub, there is decreased variation for the connection between the port and the hub. The expression becomes
Truck connection calculation
Obtaining the costs of truck transport here is completely similar to the base case, with the exception that the costs of transporting containers between the hub and terminal \( i \) must be added. To determine these costs, \( TC_{H,i}^{T} , \) the following equation was used:
One can find the trip costs between the hub and inland terminal, \( tc_{P,i} \), with the formula
Here \( Td_{P,i} , \) represents the average total distance travelled for a round trip from the hub to the service area of terminal \( i \) and is calculated
Following this extra container flow by truck between hub and the service areas of inland terminals, the annual costs of truck transport for the H&S network is expressed as follows:
Handling costs calculation
The yearly amount of truck and barge handlings at the hub terminal, \( h_{H}^{T} \) and \( h_{H}^{B} , \) are given by Eqs. (15.39) and (15.40):
The total amounts of truck and barge handlings at the port terminal and the empty depot, respectively, \( h_{P}^{H,T} ,h_{P}^{H,B} ,h_{E}^{H,T} \)and \( h_{E}^{H,B} \) were found via Eqs. (15.41)– (15.44):
In those equations, \( E_{tot}^{C} \)and \( E_{tot}^{H} \) represent total numbers of available empty containers in the base case and in the hub-and-spoke case.
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de Langen, P.W., Fransoo, J.C., van Rooy, B. (2013). Business Models and Network Design in Hinterland Transport. In: Bookbinder, J. (eds) Handbook of Global Logistics. International Series in Operations Research & Management Science, vol 181. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6132-7_15
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