Sustainability is a common concern in intermodal transport. Collaboration among carriers may help reducing emissions. In this context, work establishes collaborative planning model for transport and uses eco-labels (a series of different levels emission ranges) to reflect shippers’ sustainability preferences. A mathematical an Adaptive Large Neighborhood Search heuristic are proposed fuzzy set ...

Autonomous unmanned systems and robots must be able to actively leverage all available information sources — including imprecise but readily semantic observations provided by human collaborators. This work develops validates a novel active collaborative human–machine sensing solution for robotic gathering optimal decision making problems, with an example implementation of dynamic target search ...

Design and production of small series for specific customer target groups in collaborative networks can help companies to increase their competitiveness. This paper aims to describe a new framework of services for collaborative networking for on-demand productions. After describing the business processes that need to be supported by innovative tools for partner search and collaborative producti...

In this paper, we analyze the impact of a transportation disruption on supply chain performance by using system dynamics simulation. Performances of three different supply chains with Internet e-collaboration tools are compared with the assumption that a transportation disruption occurs within two echelons in a five-echelon supply chain. Numerical results are shown to reveal that from Non-colla...

A natural language collaborative consultation system must take user preferences into account. This paper presents two strategies: one for dynamically recognizing user preferences during the course of a collaborative planning dialogue and another for exploiting the model of user preferences to detect suboptimal solutions and suggest better alternatives. By modeling and utilizing user preferences...

The problem of planning dialog moves can be viewed as an instance of the more general AI problem of planning with incomplete information and sensing. Sensing actions complicate the planning process since such actions engender potentially infinite state spaces. We adapt the Linear Dynamic Event Calculus (LDEC) to the representation of dialog acts using insights from the PKS planner, and show how...

In this paper we apply ideas from collaborative filtering to the problem of building dynamic Bayesian network (DBN) models for planning. We demonstrate that item-based collaborative filtering can be used to construct dynamic Bayesian networks for use in large, factored domains with sparse data. Such Bayesian networks can model the transition function for decision-theoretic planning. We demonstr...

The planning of publicly funded research and development programs can benefit from participatory foresight processes where research issues are evaluated with regard to multiple criteria. However, few approaches have been developed for the shaping of collaborative research networks through which the resulting priorities are implemented. We therefore develop a methodology for the joint shaping of...