€32.64 – €53.74

Digital Modeling for Logistics Decision Making

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Location

University of Applied Science Munich

Am Stadtpark 20

81243 Munich

Germany

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Refund Policy

Refund Policy

No Refunds

Event description

Description

From small businesses to multinational companies, organizations apply simulation models to analyze logistics networks, reduce costs and improve customer service. At this seminar in Munich, we will showcase our flagship products for managing logistics challenges – AnyLogic simulation platform and anyLogistix supply chain simulation and analytics software – along with their adoption case studies. Our European partners will also demo, with hands-on examples, how they leverage simulation to model and optimize complex logistics systems.

Why join us?

  • Thought leadership
    With over 18 years of experience, The AnyLogic Company is building up global simulation community

  • Get started with business simulation
    New to simulation? Build expertise with simulation professionals and apply your experience in your industry

  • Business case studies
    Get inspired by success stories from our keynote speakers

  • Domain innovations
    See how cloud computing and other cutting-edge technologies are leveraged in simulation

  • Engaging networking
    Collaborate with your peers and build your professional network

Seminar Agenda

  • 9.30 am-10 am — Registration and welcome coffee

  • 10.00 am-10.20 am — The AnyLogic Company: Introduction

  • 10.20 am-11.30 am — Applying analytical and dynamic simulation to digital supply chain design

  • 11.30 am-12 pm — Coffee break

  • 12 pm-1 pm — anyLogistix demo

  • 1 pm-1.30 pm — Prof. Dr. Dmitry Ivanov, Berlin School of Economics and Law: Managing supply chain resilience with simulation-based digital twins

  • 1.30-2.30 pm — Lunch

  • 2.30 pm-3.30 pm — Solving complex business challenges: simulation approach

  • 3.30 pm-4 pm — Coffee break

  • 4 pm-5 pm — AnyLogic demo

  • 5 pm-5.30 pm — Dr. Harry Kestenbaum, SimPlan: Business simulation case studies

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Date and Time

Location

University of Applied Science Munich

Am Stadtpark 20

81243 Munich

Germany

View Map

Refund Policy

No Refunds

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