Grds international conference on business and management (1)

21
Leibniz Universität Hannover Institut für Fabrikanlagen und Logistik Prof. Dr.-Ing. habil. Peter Nyhuis Method to Evaluate Sustainability of a Factory Dipl.-Ing. Tobias Mersmann GRDS Singapore

Transcript of Grds international conference on business and management (1)

Page 1: Grds international conference on business and management (1)

Leibniz

Universität Hannover

Institut für

Fabrikanlagen und Logistik

Prof. Dr.-Ing. habil. Peter Nyhuis

Method to Evaluate Sustainability of a Factory

Dipl.-Ing. Tobias Mersmann

GRDS Singapore

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Institute of Production Systems and Logistics (IFA)

The Institute of

Production Systems and

Logistics is located in

Garbsen.

The IFA is one of 17

institutes of the

engineering faculty of the

Leibniz University in

Hanover.

The IFA is the biggest

Research Institute in the

field of Production

Logistics in Germany.

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Principles of PZH

• Concentration of production engineering by combining

7 institutes

• Support of communication by sophisticated architecture

• Integration of science and industry

M. Müller-Seegers

IFA as an Integrative Part of the

Production Technology Center Hannover

1 1

1

2

22

2

3

1 laboratories 2 office area 3 lecture hall and library

[PZH GmbH]

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• approx. 230 scientific employees

• approx. 110 technical employees/administration employees

• approx. 400 student employees

• approx. 800 students in production engineering

• area: 22,000 m ²

• 14 companies with approx. 45 employees

IFA as an Integrative Part of the

Production Technology Center Hannover

1 laboratories 2 office area 3 lecture hall and library

[PZH GmbH]

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Integral Model of Production Systems at IFA

Factory Planning

Layout

Operations

Equipment

Factory-

structure

Process Ability

Production Management Shop Floor Management

Ergonomics

Work Organization Industrial Engineering Job Design

Human Resources

Transformation Ability

Strategic cross-subjects

Global Production

Process Reliability Added Value

Production

Stock

Assembly

Supply

Chain

Logistical Production Theory

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The System and its Elements

Factory

S1

S5

S4

S2

S3

Stakeholder Si Factory Factory objects Relations

Factory and its stakeholders Factory and factory objects

Examples:

- Investors

- Employees

- Society

- …

Examples:

- Machines

- Building

- Organisation

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Steps to Develop Causality Diagrams

1Definition of relevant

parameters 2Causality

relationships

3 Impact directions4 Feedback loops

Nachhal-

tigkeit

Ökologie

Ökonomie

Soziale

Aspekte

Emissionen

CO2

SO2

Gewinn

Kosten

Umsatz

Ergonomie

Mitarbeiter-

motivation

Gewicht

Greifradius

Größe

Dimensionen 1. Ebene 2. Ebene n. Ebene

Using criteria and key performance

indicators from literature

Energy consumption

Heat recovery

Development of causality diagrams

Energy consumption

Heat recovery

Development of impact directions

+-

Energy consumption

Heat recovery

Development of feedback loops

+- -

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Steps to Develop Causality Diagrams

1Definition of relevant

parameters 2Causality

relationships

3 Impact directions4 Feedback loops

Nachhal-

tigkeit

Ökologie

Ökonomie

Soziale

Aspekte

Emissionen

CO2

SO2

Gewinn

Kosten

Umsatz

Ergonomie

Mitarbeiter-

motivation

Gewicht

Greifradius

Größe

Dimensionen 1. Ebene 2. Ebene n. Ebene

Using criteria and key performance

indicators from literature

Energy consumption

Heat recovery

Development of causality diagrams

Energy consumption

Heat recovery

Development of impact directions

+-

Energy consumption

Heat recovery

Development of feedback loops

+- -

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Steps to Develop Causality Diagrams

1Definition of relevant

parameters 2Causality

relationships

3 Impact directions4 Feedback loops

Nachhal-

tigkeit

Ökologie

Ökonomie

Soziale

Aspekte

Emissionen

CO2

SO2

Gewinn

Kosten

Umsatz

Ergonomie

Mitarbeiter-

motivation

Gewicht

Greifradius

Größe

Dimensionen 1. Ebene 2. Ebene n. Ebene

Using criteria and key performance

indicators from literature

Energy consumption

Heat recovery

Development of causality diagrams

Energy consumption

Heat recovery

Development of impact directions

+-

Energy consumption

Heat recovery

Development of feedback loops

+- -

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© Institut für Fabrikanlagen und Logistik Bild 10

Steps to Develop Causality Diagrams

1Definition of relevant

parameters 2Causality

relationships

3 Impact directions4 Feedback loops

Nachhal-

tigkeit

Ökologie

Ökonomie

Soziale

Aspekte

Emissionen

CO2

SO2

Gewinn

Kosten

Umsatz

Ergonomie

Mitarbeiter-

motivation

Gewicht

Greifradius

Größe

Dimensionen 1. Ebene 2. Ebene n. Ebene

Using criteria and key performance

indicators from literature

Energy consumption

Heat recovery

Development of causality diagrams

Energy consumption

Heat recovery

Development of impact directions

+-

Energy consumption

Heat recovery

Development of feedback loops

+- -

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Excerpt from the Causality Diagram

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Clustering of Sustainability Enablers

First step:

• Analysis of characteristics,

regarding to corresponding

criteria

• Development of the

similarity matrix and

coefficient

Second step:

Using of a fusion algorithm

Corresponding criteria

Su

sta

inab

ility

ch

ara

cte

ristics

Binary affiliation

0 = not corresponding

1 = corresponding

Used corresponding

criteria:

• Elements

• Stakeholder

• …

1

2

3

n

1 2 3 … n

… …

… … …

… … … …

1. Using of a fusion algorithm

2. Development of cluster groups

Calculation of similarity coefficients

(e.g. using of RR-coefficient)

S = similarity

a = available at 1 and 2

b = available only at 1

c = available only at 2

d = not availabledcba

aS

Third step:

Development of sustainability enablers

Name the cluster groups

Sustainability enablers

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Clustering of Sustainability Enablers

First step:

• Analysis of characteristics,

regarding to corresponding

criteria

• Development of the

similarity matrix and

coefficient

Second step:

Using of a fusion algorithm

Corresponding criteria

Su

sta

inab

ility

ch

ara

cte

ristics

Binary affiliation

0 = not corresponding

1 = corresponding

Used corresponding

criteria:

• Elements

• Stakeholder

• …

1

2

3

n

1 2 3 … n

… …

… … …

… … … …

1. Using of a fusion algorithm

2. Development of cluster groups

Calculation of similarity coefficients

(e.g. using of RR-coefficient)

S = similarity

a = available at 1 and 2

b = available only at 1

c = available only at 2

d = not availabledcba

aS

Third step:

Development of sustainability enablers

Name the cluster groups

Sustainability enablers

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© Institut für Fabrikanlagen und Logistik Bild 14

Clustering of Sustainability Enablers

First step:

• Analysis of characteristics,

regarding to corresponding

criteria

• Development of the

similarity matrix and

coefficient

Second step:

Using of a fusion algorithm

Corresponding criteria

Su

sta

inab

ility

ch

ara

cte

ristics

Binary affiliation

0 = not corresponding

1 = corresponding

Used corresponding

criteria:

• Elements

• Stakeholder

• …

1

2

3

n

1 2 3 … n

… …

… … …

… … … …

1. Using of a fusion algorithm

2. Development of cluster groups

Calculation of similarity coefficients

(e.g. using of RR-coefficient)

S = similarity

a = available at 1 and 2

b = available only at 1

c = available only at 2

d = not availabledcba

aS

Third step:

Development of sustainability enablers

Name the cluster groups

Sustainability enablers

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© Institut für Fabrikanlagen und Logistik Bild 15

Clustering of Sustainability Enablers

First step:

• Analysis of characteristics,

regarding to corresponding

criteria

• Development of the

similarity matrix and

coefficient

Second step:

Using of a fusion algorithm

Corresponding criteria

Su

sta

inab

ility

ch

ara

cte

ristics

Binary affiliation

0 = not corresponding

1 = corresponding

Used corresponding

criteria:

• Elements

• Stakeholder

• …

1

2

3

n

1 2 3 … n

… …

… … …

… … … …

1. Using of a fusion algorithm

2. Development of cluster groups

Calculation of similarity coefficients

(e.g. using of RR-coefficient)

S = similarity

a = available at 1 and 2

b = available only at 1

c = available only at 2

d = not availabledcba

aS

Third step:

Development of sustainability enablers

Name the cluster groups

Sustainability enablers

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Maturity Model

1 Definition of an evaluation scale:

Using of sustainability characteristics . The amount of fullfilled

characteristics determines the target maturity level.

sticscharacteriallofsum

sticscharacterifullfilledML

2 Determination of the

target sustainability:

jenablerforielementoflitysustainabiettNESoll

elementsofnumbery

enablersilitysustainaibofnumberx

litySustainabietTOverallNSoll

with

NESollyx

NSoll

ij

ges

x

j

y

i

ijges

arg

arg

1

,

1 1

,

0% 20% 40% 60% 80%

Maturity Level40%

Sufficient fullfillment

of criteria

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Maturity Model

1 Definition of an evaluation scale:

Using of sustainability characteristics . The amount of fullfilled

characteristics determines the target maturity level.

sticscharacteriallofsum

sticscharacterifullfilledML

2 Determination of the

target sustainability:

jenablerforielementoflitysustainabiettNESoll

elementsofnumbery

enablersilitysustainaibofnumberx

litySustainabietTOverallNSoll

with

NESollyx

NSoll

ij

ges

x

j

y

i

ijges

arg

arg

1

,

1 1

,

0% 20% 40% 60% 80%

Maturity Level40%

Sufficient fullfillment

of criteria

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Deriving As-Is Sustainability

E3 Relevant sustainability enablers per

element for enabler E3

E1

E2

E3

E4

E5

E6

E7

E8

Ele

ment

E2 Relevant sustainability enablers per

element for enabler E2

E1

E2

E3

E4

E5

E6

E7

E8

Ele

ment

E1 Relevant sustainability enablers per

element for enabler E1

E1

E2

E3

E4

E5

E6

E7

E8

Ele

ment

1 Definition of the structure of the

evaluation matrix

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Deriving As-Is Sustainability

E3 Relevant sustainability enablers per

element for enabler E3

E1

E2

E3

E4

E5

E6

E7

E8

Ele

ment

E2 Relevant sustainability enablers per

element for enabler E2

E1

E2

E3

E4

E5

E6

E7

E8

Ele

ment

E1 Relevant sustainability enablers per

element for enabler E1

E1

E2

E3

E4

E5

E6

E7

E8

Ele

ment

1 Definition of the structure of the

evaluation matrix

2 Development of evaluation matrices

Selection of relevant sustainability

characteristics for every element

for every sustainability enabler

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Deriving As-Is Sustainability

E3 Relevant sustainability enablers per

element for enabler E3

E1

E2

E3

E4

E5

E6

E7

E8

Ele

ment

E2 Relevant sustainability enablers per

element for enabler E2

E1

E2

E3

E4

E5

E6

E7

E8

Ele

ment

E1 Relevant sustainability enablers per

element for enabler E1

E1

E2

E3

E4

E5

E6

E7

E8

Ele

ment

1 Definition of the structure of the

evaluation matrix

jenableratielementforutilityactualNWIst

with

sticscharacteriallofsum

sticscharacterifullfilledNWIst

ji

ji

ji

ji

,

,

,

,

2 Development of evaluation matrices

Selection of relevant sustainability

characteristics for every element

for every sustainability enabler

3 Calculation of maturity levels

enablerslitysustainabiofnumberx

enablersallforielementforutilityactualNWIst

with

NWIstx

NWIst

jiges

x

i

jijiges

,,

1

,,,

1

elementsofnumbery

enablersallforsystemtheforutilityactualNWIst

with

NWIsty

NWIst

ges

y

i

jigesges

1

,,

1

Conversion into

maturity level

sticscharacteriallofsum

sticscharacterifullfilledML

0% 20% 40% 60% 80%

Maturity Level40%

Sufficient fullfillment

of criteria

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For further Questions:

Your Contact:

Institute of Production Systems and Logistics

Prof. Dr.-Ing. habil. Peter Nyhuis

An der Universität 2

30823 Garbsen

Tel.: 0511 / 762-2440

Fax.: 0511 / 762-3814

www.ifa.uni-hannover.de

Contact Information

Dipl.-Ing. Tobias Mersmann

Factory Planning

0049 511 762 18198

[email protected]