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Titlebook: Dynamics in Logistics; Proceedings of the 6 Michael Freitag,Herbert Kotzab,Jürgen Pannek Conference proceedings 2018 Springer International

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Supplier Selection and Order Allocation with Intermodal Transportation CostP is solved in AIMMS (Advanced Interactive Multidimensional Modeling System) using its outer approximation algorithm to select the best supplier, to determine the economic lot-size, the corresponding order quantities and number of trucks needed to meet the demand.
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Digitalization Elements for Collaborative Planning and Control in Supply Chainschange. The Digitalization Elements (DEs) presented in this paper describe the future changes of planning and control processes with focus on production and distribution. Based on DEs, a concept allowing to design I4.0-oriented collaborative planning and control processes in SCs will be developed in future work.
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Modeling of Critical Products Supply Chain Required to Affected People on Earthquakes and Tsunamis Tmodel allows minimization of companies’ complexity in the chain and identifies which are the critical links, obtaining an integral vision of the chain. It is concluded that the proposed model will contribute the improvement of delivering critical products to affected people.
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Collaborative Distributed Operational Planning for Spare Parts Supply Chainsred procedure for implementing distributed planning in spare parts supply chains integrated to intelligent maintenance systems was developed, tested through simulation and had its performance compared to a classical management approach. Results indicate that distributed planning provides more efficiency even in scenarios with higher uncertainties.
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Wittgenstein and the Twentieth Centuryan integrated forward/reverse supply chain model which is flexible in delivery path. To this end, Taguchi method is adapted to identify the most important parameters and rank the latter. The results are illustrated by a numerical case study.
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Intentionality in Wittgenstein’s Workstly. Simulation experiments indicate that a multiple-location scenario is highly beneficial compared to the corresponding single-location scenario and that the metaheuristic always finds the optimum if this could be computed by the exact solver.
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