The air cargo industry is hugely important to national economies, trade, and development. Thus far, there has been limited research on the landside freight industry. Therefore, purpose of this paper extend understanding how alterations in impact its counterpart. It also seeks explore potential opportunities challenges presents, as well measures that can be taken mitigate unsustainable developme...

This paper proposes a micro-simulation model for urban freight movement, in which the behavior of freight agents and their relationship in supply chains are incorporated. The proposed model is a modification of the traditional four-step approach in that it considers the behavior of each freight agent individually. This paper covers three of the four steps of the traditional approach, including ...

In most cases, logistical planning tasks are a complex problem that is difficult to solve because of dynamic influences that cannot be foreseen. The concept of autonomous cooperating processes is an approach whereby the logistical objects themselves solve those tasks. Each object in the transport chain (freight, means of transport, warehouse...) is represented by a separate independent software...

We consider a problem of minimizing the number of batches of a fixed capacity processing the orders of various sizes on a finite set of items. This batch consolidation problem is motivated by the production system typical in raw material industries in which multiple items can be processed in the same batch in case they share sufficiently close production parameters. If the number of items proce...

This paper considers the parcel hub scheduling problem (PHSP) with unequal batch size inbound trailers, which is a combinatorial optimization problem commonly found in a parcel consolidation terminal in the parcel delivery industry (PDI). The problem consists of processing a large number of inbound trailers at a much smaller number of unload docks. The parcels in the inbound trailers must be un...

Considerably less research has been done on modeling freight demand with disaggregate discrete models than on modeling passenger demand. The principal reason for this imbalance is the lack of freight demand data. Freight demand characteristics are expensive to obtain and are sometimes confidential. This paper analyzes the freight demand characteristics that drive modal choice by means of a larg...

We analyse maintenance cost data for Swedish railway infrastructure in relation to traffic volumes and other characteristics, and separate the cost impact from passenger and freight trains. Lines with mixed passenger and freight traffic, and dedicated freight lines are analysed separately using both log-linear and Box-Cox regression models. We find that for mixed lines, the Box-Cox specificatio...

Four key subprocesses in data integration are: data preparation (i.e., transforming and cleaning data), schema integration (i.e., lining up like attributes), entity resolution (i.e., finding clusters of records that represent the same entity) and entity consolidation (i.e., merging each cluster into a “golden record” which contains the canonical values for each attribute). In real scenarios, th...