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Basics in Material Handling and Logistics

Basics in Material Handling and Logistics
type: Lecture links:
semester: Summer 2017
place:

03.-06. April: Selmayr-Hörsaal (building 50.38)

07. April: Carl Benz School (room 203)

time:

03.-05. April 2017, 08:00-13:00

06.-07. April 2017, 08:00-11:15

start: 03.04.2017
lecturer:

Dipl.-Ing. Martin Epp
Tommi Kivelä

exam:

Oral Examination, duration 20 min, date: 22.-23. May 2017

information:

Lecture notes and supporting literature will be provided in ILIAS

Attention: In 2017, the whole lecture will take place in one week (03.-07. April 2017)!

Successful management of material flow systems promises a high potential for realizing new economic competitive advantages. Knowledge of existing methods and the latest trends is a key prerequisite for successfully implementing, refining and disseminating material flow management approaches. The aim of the lecture is to equip the students with an up-to-date overview of the material flow management and its methodology. In this lecture theoretical knowledge is enhanced with practical examples.

Learning Outcomes
The student:

  • understands basic material flow processes,
  • is able to model material flow systems in simple models,
  • knows how to determine essential performance indicators like throughput, utilization, etc.
  • has the basis knowledge necessary to understand logistic systems,
  • knows algorithms and is able to apply them to basic logistic problems.


Content:
Conveyor Systems

  • Basic elements of conveyor systems
  • Key figures
  • Branching elements
    - continuous/partially-continuous
    - deterministic/stochastic switch
  • Integration elements
    - continuous/partially-continuous
    - dispatching rules
  • Sorting systems
    - Limiting and operational throughput

Queueing Theory and Production Logistics

  • Basic queueing systems
  • Distributions
  • M|M|1 and M|G|1 model
  • Application on production logistics

Distribution Centers and Order Picking

  • The location problem
  • Distribution centers
  • Inventory management
  • Warehouse construction design
  • Automated Storage and Retrieval Systems?
  • Order picking
  • Vehicle Routing
  • Types of vehicle routing problems
  • Linear programming model and graph theoretic model
  • Heuristics
  • Supporting technologies

Optimization of Logistical Networks

  • Objectives
  • Cooperative strategies
  • Supply chain management
  • Implementation

 

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