Scientific Projects

Management Science

Introduction

Wintersemester 2019/2020

Prof. Dr. Ehmke – Charlotte Köhler

Scientific Projects

Master Program

“Operations Research and Business Analytics” (ORBA)

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Scientific Projects

Master Program

„Betriebswirtschaftslehre/Business Economics“ (BWL/BE)

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Scientific Projects

Target Groups

ORBA Focus Supply Chain Management

Master BWL Focus Logistics & Operations

Management

Goals

Use quantitative methods to improve business

decision making

Apply analytical solution techniques to solve

business problems (modelling, development and

implementation)

Learn to plan and manage complex research and

development projects in heterogeneous teams

Coordinates of the Scientific Project (1/2)

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Scientific Projects

Prerequisites

Fundamental skills in mathematical modelling,

data analysis, programming

Seminar Management Science or Operations Management

Introductory classes of Supply Chain Management

We highlight particular knowledge required for each

project individually

Deliverables

Project Plan

Mid-term Presentation

Research Poster

Final Presentation

Project Report

Coordinates of the Scientific Project (2/2)

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Scientific Projects

Deliverables (1/4):

Deadlines and Requirements

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Requirements Grade % Due

Application Send application - 12.07.2019

Kick-Off Meeting Read project description and given

literature

- Before October 2019

(individually arranged, contact supervisor)

Project Management

Workshop

Bring a first draft of your project

plan

- October 2019

(Charlotte Köhler)

Project Plan submit to supervisor 5% 08.11.2019

Mid-Term

Presentation

5 min. / group member 10% 25.11. – 29.11.2019

(individually arranged, contact supervisor)

Research Poster Use provided template 10% 17.01.2019 (tentative)

Final Presentation 7.5 min. / group member 25% 23.01./24.01.2020

(tentative, small participation fee may

arise)

Project Report 15 pages / group member 50% 06.03.2020

To pass the project seminar, you need to pass each deliverable individually!

Scientific Projects

Deliverables (2/4)

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Project Plan

• Detailed breakdown of tasks

• Show durations of tasks

• Highlight which team member

is responsible for each task

Mid-Term Presentation

• Goal of the project

• First results and challenges

• Further Steps

Scientific Projects

Deliverables (3/4)

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Final Presentation

• Present your project results

• Prepare questions for discussion

and gather feedback

Research Poster

Important information should be

readable from about 10 feet away

Title is short and draws interest

Text is clear and to the point

Effective use of graphics, color and

fonts

Consistent and clean layout

https://guides.nyu.edu/posters

Scientific Projects

Deliverables (4/4)

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Project Report

• Project scope

• Literature research

• Project findings & results

• Outlook (e.g. topics for master

thesis)

Scientific Projects

TOPIC 1: DESIGNING SEQUENTIAL PICK STATIONS

IN E-COMMERCE WAREHOUSES

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Automatization in warehouse management becomes more and more important,

however, careful planning is essential in order to install an efficient system.

Customer orders must be picked from article storage locations spread over

multiple work stations to totes moving along a conveyor

To prevent blocking of the conveyer, buffer locations must be implemented at

each work station

Scientific Projects

TOPIC 1: DESIGNING SEQUENTIAL PICK STATIONS

IN E-COMMERCE WAREHOUSES

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Procedure and project goals:

Analyze and evaluate the performance of different warehouse designs

w.r.t. pick station design and order release strategy

Develop an analytical and a simulation tool which model the regarded

planning problem

Test the developed tools on real-world data

Previous useful knowledge:

Stochastic modelling

Simulation

Project Partner: SSI Schäfer

Supervisor: Prof. Dr. Ehmke, Dr. Tino Henke

Scientific Projects

Increasing urbanization, growing sales in e-commerce and stricter

environmental regulations enforce the development of innovative urban

delivery concepts.

Mobile parcel lockers have recently been suggested as a new type of

such innovative delivery concept

TOPIC 2: USING MOBILE PARCEL LOCKERS

FOR URBAN DELIVERIES (1/2)

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C1

C2

C4

C3

C5

D

C1

C2

C4

C3

C5

D

vs.

Scientific Projects

TOPIC 2: USING MOBILE PARCEL LOCKERS

FOR URBAN DELIVERIES (2/2)

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Procedure and project goals:

Provide a decision support framework to determine locations and

routes for mobile parcel lockers

Test the developed framework

Compare the benefits of mobile parcel lockers compared to direct

deliveries and fixed parcel lockers

Previous useful knowledge :

(Meta-)Heuristics

Mathematical programming

Supervisor: Prof. Dr. Ehmke, Dr. Tino Henke

Scientific Projects

TOPIC 3: AMODEUS (1/2)

AUTONOMOUS MOBILITY-ON-DEMAND SIMULATION

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Analyze and synthesize autonomous mobility-on-demand systems. Apply the

agent-based simulation framework AMoDeus to evaluate the dial-a-ride problem.

Design and develop a dispatcher for ride-sharing (preferably for

heterogeneous vehicle fleet)

Evaluate with different scenarios and benchmarks

Learn about vehicle utilization and the importance of fleet compositions

Scientific Projects

TOPIC 3: AMODEUS (2/2)

AUTONOMOUS MOBILITY-ON-DEMAND SIMULATION

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Project goals:

Understand AMoDeus and implement your own dispatcher

Getting a better understanding about the relations between the regional

area and the needed fleet of vehicles

Procedure:

Familiarize yourself with AMoDeus

Build an efficient algorithm to solve the dial-a-ride problem

Integrate your algorithm in AMoDeus

Evaluate in multiple scenarios and use supplied benchmarks

Previous useful knowledge :

Programming expertise especially in java

Experience about agent-based simulation software like MATSim would be

an advantage

Supervisor: Prof. Dr. Ehmke, Rico Kötschau

Scientific Projects

TOPIC 4: TRANSFORMERS –

AN INNOVATIVE BIKE SHARING SYSTEM

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Generation 1 to 4 of bikesharing systems

Door-to-door mobility Autonomous rebalancing

?

✓ Mobility-as-a-Service approach

✓ On-demand bicycle usage at the point of demand

✓ Potential to reduce 30% to 80% of operation costs

5th Generation Bikesharing

Scientific Projects

TOPIC 4A: MANAGING TRANSFORMERS

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System description:

Inner City of Hamburg, DB-Bikesharing

Objectives:

Comparison of conventional Bike Sharing with TRANSFORMERS

Potential to improve service level

Potential to reduce the amount of bikes and rebalancing

effort

Subtasks:

Analyze Usage-Data of Call-a-Bike in Hamburg and

generate trip model

Develop and compare suitable methods of trip

management and rebalancing

Consider energy capacity and charging status

Previous useful knowledge: Computational Transportation

Project Partner: Institute of Logistics and Material Handling

Systems, Tom Assmann

Supervisor: Prof. Dr. Ehmke, NN

Scientific Projects

TOPIC 4B: ROUTING TRANSFORMERS

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System description:

Inner city street network

Allowance to drive on cycling paths, pedestrian areas and

reduced speed roads

Objectives:

Development of a routing algorithm

Encompassing autonomous bike specific rules of driving

Encompassing external factors effecting speed and route

(connected to bikes, driving on cycling paths, pedestrians, …)

Subtasks:

Develop a set of external factors necessary for routing

Develop and compare suitable prototype algorithm for

routing, consider computational speed and robustness

Demonstration of the prototype system

Previous useful knowledge: Computational Transportation

Project Partner: Institute of Logistics and Material Handling

Systems, Tom Assmann

Supervisor: Prof. Dr. Ehmke, NN

Scientific Projects

TOPIC 5: DEVELOPING A DASHBOARD -

SYSTEMATIC ANALYSIS OF DELAY DATA

IN AN URBAN TRANSIT NETWORK

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Travelers expect high reliability regarding their individual itinerary

Transport service provider need information about delays

Systematic analysis of historical data

Procedure and project goals:

Analyze state-of-the art dashboards and derive relevant dimensions

Stops, Lines, Area, Time, Space, …

Develop an interactive dashboard to systematically analyse delay

data

Identify the most relevant information useful for the transport

service provider

Previous useful knowledge:

Business analytics

Project Partner: GoeVB

Supervisor: Prof. Dr. Ehmke, Thomas Horstmannshoff

Scientific Projects

TOPIC 6: EVALUATION OF SURVEY DATA

IN AN URBAN TRANSIT NETWORK

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Transport service providers should constantly validate their route

network and further develop it with respect to demand-oriented

planning

Based on a passenger survey conducted in April 2018 in Göttingen

Main focus on route relations and general public transport use

Procedure and project goals:

Systematically analyse the given data in the passenger survey

Derivation of recommendations for action for the transport

service provider

Previous useful knowledge:

Speaking/understanding German can be advantageous

Business analytics

Project Partner: GoeVB

Supervisor: Prof. Dr. Ehmke, Thomas Horstmannshoff

Scientific Projects

TOPIC 7: ANALYZING LEAD TIMES WITHIN

BAYER’S SUPPLY CHAIN

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Description of the company and their service

Bayer is a global enterprise with core competencies in the Life Science

fields of health care and agriculture. Its products and services are

designed to benefit people and improve their quality of life.

Our purpose, Science for a better life, motivates us to address some of

the world’s most pressing challenges. From new ways to prevent and

treat illness to smarter ways to protect and grow crops, our

innovation helps millions of people around the world live a better life

every day.

Description of the project

Bayer is interested into getting more understanding on the main

drivers of its overall supply chain lead times from production to

deliveries to final customers.

The purpose of the project is to analyze and quantify the lead times

when merging data from different systems; develop a comprehensive

framework to aggregate and visualize insights for a complex supply

chain; and finally come up with recommendations to reduce lead

times and improve supply chain efficiency.

Previous useful knowledge: Supply Chain Management

Project Partner: BAYER (Cologne)

Supervisor: Prof. Dr. Ehmke, NN

Scientific Projects

TOPIC 8: WHERE ABOUT DO THE

ACCIDENTS HAPPEN?

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The BG BAU is by law the employers' liability insurance association of

the construction industry and related services.

Descriptive and predictive methods of data mining (e.g. cluster

analysis and decision trees) should be used to analyze the

characteristics of the member companies. To do so, the data of the BG

BAU has to be structured and analyzed, and suitable data mining

methods have to be chosen.

Analyze

In which manner the member companies of the BG BAU may be

grouped?

Which accident hot spots exist in each group (accident cause (e.g.

ladder, machine), accident event (e.g. falling, … ), accident

circumstances, …)?

Which companies need the most the attention of our Supervisors

(AP) or Work Safety Specialists (SiFa)?

Previous useful knowledge:

Speaking/understanding German can be advantageous, Advanced

Business Analytics

Project Partner: BG BAU (Berlin)

Supervisor: Prof. Dr. Ehmke, NN

Scientific Projects

How to Apply for Projects?

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Application for projects until Fri, July 12, 2019You hand in your application and preference lists for the

Scientific Project. Please also attach your current transcript

of records. We will consider your background for working in

a project and try to assign each candidate to his/her

preferred project.

Application Form:

Chair of Management Science > Teaching > Scientific Project

http://www.ms.ovgu.de/Teaching/Scientific+Project+WS19_2

0-p-222.html

Please send to: charlotte.koehler@ovgu.de

Handing in your preferences is a binding application.

Confirmation until Fri, July 26, 2019We will inform you about your project working group and

invite you to a kick-off meeting to

discuss requirements and expectations for the project with

your project advisor.