Business Information Systems & Operations Research

Optimization of Logistics Systems (OLS)

Prof. Dr. Oliver Wendt

Prof. Dr. Daniele Vigo

Dr. habil. Mahdi Moeini

Summer term 2020

WIW-WIN-OLS-V-7

Examination

Sample questions for the exam

The language of the exam is English and the assignments might be answered only in English.


The language of the lectures is English.

Due to the current lockdown situation, the lectures of "Optimization of Logistic Systems" will take place online according to the following schedule: 

  • Monday 22.06. at 10:00-13:00
  • Tuesday 23.06. at 10:00-13:00
  • Thursday 25.06. at 10:00-13:00
  • Saturday 27.06. at 10:00-13:00
  • Monday 29.06. at 10:00-13:00
  • Tuesday 30.06. at 10:00-13:00
  • Thursday 02.07. at 10:00-13:00

Moreover, an optional session might take place on Saturday 04.07. at 10:00-13:00. The time slot 10:00-13:00 can be replaced by 09:00-12:00, based on an agreement with the lecturer (once the lectures start, you should arrange it directly with Prof. Daniele Vigo).

Any further new information will be published on the OLAT page in which you can register. The OLAT page is protected by a password that you can ask it from Dr. habil. Mahdi Moeini: mahdi.moeini(at)wiwi.uni-kl.de

To avoid spams and stealthy registrations, only registrations with a valid RHRK e-mail address are permitted. Any registration by home-based e-mail addresses will be removed from the OLAT page without any further warning. Once you are on the OLAT page, you should register (check the left menu of the page) to be enrolled in the corresponding course(s) (CI or OLS or both).

If you need further information, please contact Dr. habil. Mahdi Moeini: mahdi.moeini(at)wiwi.uni-kl.de

The module "Computational Intelligence" comprises the two parts "Optimization of Logistics Systems" and "Introduction to Computational Intelligence". Both lectures are given in English. The whole module has 6 (2x3) ECTS.

Part: Optimization of Logistics Systems:

Contents:

The course is aimed at providing an overview of the quantitative methods that can be used to support the optimal design and management of modern logistics systems. Special attention will be devoted to the demand analysis and data procurement, to the design of logistic networks and to the optimization of long distance and local transportation of freights. Illustrative examples of models and algorithms will be treated by using general purpose and special solvers.

1)    Introduction

  • Recall of prerequisites
  • Introduction and classification of logistics systems. How a logistics system works and which type of elements and decisions are involved in its design and management
  • Logistic demand analysis and data procurement. Basic concepts of demand forecasting (time series ”¦) and the problems involved in getting other data (costs, maps, position of vehicles etc) required to design and manage a logistic system

 2)    Logistic Network Design

A quick overview on how to design a logistics network and manage its infrastructures

  • Location problems, single and multi-echelon transportation and location models.
  • Inventory management. Basic concepts and Introduction to single stocking and multi stocking point inventory problems
  • Warehouse design and management. Internal structure, storage infrastructures and mechanism, Warehouse design and dimensioning, Tactical (product allocation) and operational (order picking, palletization”¦) problems

 3)    Long distance transportation

Covers the main issues related to the design and management of Long Distance transportation of freight within a logistic network: Freight assignment, service network design, shipment consolidation, Vehicle and Driver assignment problems.

 4)    Short distance transportation

Covers the design of transportation services for the distribution and collection of goods to local destinations. Illustrates the Vehicle Routing Problem family and the main solution techniques available for this class of problems.

 

 

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