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This paper introduces a bi-objective winner determination problem which arises in the procurement of transportation contracts via combinatorial auctions where bundle bidding is possible. The problem is modelled as a bi-objective extension to the set covering problem. We consider both the...
This paper describes how drivers’ rules according to EU social legislation can be formally modelled using the resource concept and how ‘legal’ vehicle routes and schedules can be computed by exact and heuristic labelling algorithms for solving the elementary shortest path problem with resource...
This study explores the relationship between logistics capabilities and sustainable competitive advantage by using the notion of learning mechanisms. It is argued that a set of processes of learning mechanisms may serve as a source of dynamic capabilities that create, develop and maintain...
Autonomous control in logistics enables single logistics objects to control the production and transportation process. This shift from central planning to decentralized control in real-time offers many possibilities to cope with highly dynamic and complex systems. The algorithms that define the...
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