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Titlebook: Dynamics in Logistics; Proceedings of the 5 Michael Freitag,Herbert Kotzab,Jürgen Pannek Conference proceedings 2017 Springer International

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楼主: VEER
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https://doi.org/10.1007/978-3-319-45117-6Robust and dynamic systems and simulations; Collaborative planning and control; Distributed planning a
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978-3-319-83214-2Springer International Publishing Switzerland 2017
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Quality-Aware Predictive Scheduling of Raw Perishable Material Transportst the quality of potatoes decreases over time and as a result less starch is produced. A model predictive control approach is proposed to maximize the production of starch. Simulation experiments indicate that predictive scheduling can yield higher starch production compared to non-predictive approaches.
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Process Maintenance of Heterogeneous Logistic Systems—A Process Mining Approachled Process Maintenance, collects requirements for a common view on information in logistics, and shows that Process Mining with logistic data is possible, but still needs improvement to become a regular practice.
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What Hinders the Implementation of the Supply Chain Risk Management Process into Practice Organizatiossible hindrances in the implementation of SCRMP for companies with global supply chains based on the findings of an in-depth case study. Our empirical findings indicate that the unavailability of information and lack of proper data management hinders the implementation of SCRMP in the context global supply chains.
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Methodology for Development of Logistics Information and Safety System Using Vehicular Adhoc Networkted VANET by considering different application scenarios for logistics and transportation using varying parameters such as speed, number of nodes, traffic load and bit error rate etc. We observed that it performs well in most of the scenarios due to its highly suitability in vehicular environment.
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Australiat a high level of abstraction, and gradually refines it down to an electronic system level. Properties of higher levels can be inherited during refinements to lower levels by relying on local proof obligations only, which results in a design flow capable to keep up with the incre asing complexity of cyber-physical systems.
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Bolivia a smart production or logistical context. The paper ends with a general guideline that is formulated to cater for various industrial level human–robot collaborative scenarios. An important aspect of the collaboration guideline is a sensor catalogue to meet cyber-physical system design requirements.
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