22
Decision Analysis Framework for the Industrial Sustainability Analysis of the Surface Finishing Industry Cristina Piluso and Yinlun Huang Department of Chemical Engineering & Materials Science Wayne State University Detroit, MI 48202, USA International Conference on Sustainability Engineering and Science Auckland, New Zealand February 20-23, 2007

Decision Analysis Framework for the Industrial Sustainability Analysis of the Surface Finishing Industry Cristina Piluso and Yinlun Huang Department of

Embed Size (px)

Citation preview

Decision Analysis Framework for the Industrial Sustainability Analysis of the

Surface Finishing Industry

Cristina Piluso and Yinlun Huang Department of Chemical Engineering & Materials Science

Wayne State University

Detroit, MI 48202, USA

International Conference on Sustainability Engineering and Science

Auckland, New Zealand

February 20-23, 2007

• Need for Analysis Methodology

• Ecological Input-Output Flow Analysis (EIOA)

• Quantification of Environmental and Economic Sustainability Using Sustainability Metrics

• Introduction of a Decision-Analysis Framework

• Case Study on Zinc Plating Network Flow

• Concluding Remarks

Outline

• Strong interdependence among industrial entities

– Efforts to satisfy triple bottom line strongly dependent on efforts of other entities

– Major opportunities exist for synergistic improvements among plants

• Need for general and systematic analysis methodology

– Sustainable development of entity, industry, and region

Need for Analysis Methodology

• Mathematical core of industrial sustainability analysis

• Full characterization of all direct and indirect flows that support a specific waste or product outflow

• Captures big picture and detailed inter-relationships among entities in region

Ecological Input-Output Flow Analysis (EIOA)

Ecological Input-Output Flow Analysis (EIOA)

• Node – Process unit, industrial entity, etc.

• Flow – Information input/output of a node (material, energy, etc.)

Hi = Processing node i

fij = Flow from Hj to Hi

yw,0i, yp,0i = Outflow from Hi

zi0 = Inflow to Hi

i,py0

i,wy0

0iz

iH

jifijf

i,py0

i,wy0

0iz

iH

jifijf

Ecological Input-Output Flow Analysis (EIOA)

• Throughflow: Sum of all outflows from a node

0P0

0PP

000

P

32

2221

k,wk,p

n

iikk yyfT 00

1

n,...,k 1

EIOA Inflow Analysis

• Determination of the origin of each outflow from system

• Instantaneous Fractional Inflow Matrix, Q*

– Calculated by dividing each element of P by throughflow of i-th row of P

– An element of Q* is fraction of total flow through a node attributable to inflow, outflow, or internodal flow

0Q0

0QQ

000

Q*32

*22

*21

*

EIOA Inflow Analysis

• Transitive Closure Matrix, N*

– Element of = relationship inflows have with flows to Hi

– Element of = total flow through Hj needed to produce a unit of flow to Hi

– Element of = amount of inflow needed to produce a unit of each outflow from Hi

– Element of = total flow through Hj needed to produce

a unit of each outflow from Hi

• Define N* as: 1** QIN

INN

0NN

00I

*32

*31

*22

*21

*22N

*31N

*21N

*32N

EIOA Environ Analysis

Traditional Environ, , (flow units/unit waste); the set of flows necessary to produce a unit of outflow

Actual Environ, , (flow units); the actual flow magnitudes necessary to produce each outflow

Percentage Environ, , (%); the percent of a given flow used to produce each outflow

TiE

AiE

PiE

• EIOA provides information to:

– Trace industrial waste and product streams back to their origins

– Determine which flows the output is most dependent on

• How to quantify sustainability?

Quantification of Sustainability Using Metrics

• Environmental Sustainability Metric[1]

– Mass Intensity = Total Mass In / Mass of Product Sold

– The smaller the better

• Economic Sustainability Metric[2]

– Gross Profit = Net Sales – COGS

– The larger the better

[1] AIChE Center for Waste Reduction Technologies (CWRT). Collaborative Projects – Focus Area: Sustainable Development, AIChE: New York, 2000

[2] IChemE. The Sustainability Metrics – Sustainable Development Progress Metrics Recommended for use in the Process Industries, IChemE: Rugby, UK, 2002

Quantification of Sustainability Using Metrics

• Second layer of analysis needed to provide meaningful sustainability decision-analysis abilities

• The decision-analysis framework:

– Evaluates current state of industrial sustainability

– Aids in making systematic and strategic decisions

Introduction of a Decision-Analysis Framework

Introduction of a Decision-Analysis Framework

Generate production matrix, P

Gather system information

Calculate input environs

Perform inflow analysis

Conduct environmental sustainability analysis

Conduct economic sustainability analysis

Complete sustainabilitydecision analysis

Improved industrial sustainability

Generate production matrix, P

Gather system information

Calculate input environs

Perform inflow analysis

Conduct environmental sustainability analysis

Conduct economic sustainability analysis

Complete sustainabilitydecision analysis

Improved industrial sustainability

Decision-Analysis Framework – Environmental Sustainability Analysis

Calculate input environs & CWRT metric for current system

Implement changes observed from environ analysis

Calculate new input environs & CWRT metrics

Improved environmental sustainability through

decreased waste generation & improved CWRT metrics?

No

Implement modifications if economically feasible

Yes

Calculate input environs & CWRT metric for current system

Implement changes observed from environ analysis

Calculate new input environs & CWRT metrics

Improved environmental sustainability through

decreased waste generation & improved CWRT metrics?

Improved environmental sustainability through

decreased waste generation & improved CWRT metrics?

No

Implement modifications if economically feasible

Yes

Decision-Analysis Framework –Economic Sustainability Analysis

Gather material flows

Convert material flows to $

Compare w/original case & adjust buying and selling strategy based on environmental sustainability factors

Improved economic sustainability of the company/industry?

Implement modifications if economically feasible

Calculate gross profit/loss for each company or industry

No

Yes

Gather material flows

Convert material flows to $

Compare w/original case & adjust buying and selling strategy based on environmental sustainability factors

Improved economic sustainability of the company/industry?

Improved economic sustainability of the company/industry?

Implement modifications if economically feasible

Calculate gross profit/loss for each company or industry

No

Yes

Case Study on Zinc Plating Network Flow

H1

Znz10

Znz20

(Chemical Supplier # 1)

H2

(Chemical Supplier # 2)

H5

(Automotive OEM # 1)

H6

(Automotive OEM # 2)

Zn,py 05

Zn,py 06

Zn,wy 06

Zn,wy 05

Zn,wy 03

Zn,wy 04

H3

(Plating Shop # 1)

H4

(Plating Shop # 2)

Product

Zn,wy 01

Zn,wy 02

Waste

Suppliers(Chemicals)

Tier I Manufacturing(Metal Plating)

OEM Manufacturing(Automotive Assembly)

Znf31Znf33

Znf53Znf35

Znf32

Znf44Znf42Znf64

Znf45

Znf54

Znf46

Zinc Plating Network Flow Case Study

Mass Intensity Gross ProfitSystem Type

Overall System 1.307 $306,429

Chemical Supplier #1 1.075 $14,062

Chemical Supplier #2 1.136 $3,514

Plating Shop #1 1.167 $160,508

1.183 $18,315

Automotive OEM #1 1.053 $109,783

Automotive OEM #2 1.031 $-1,922

Plating Shop #2

Environmental Economic

Zinc Plating Network Flow Case Study - Results

• Plating shop #1 waste generation is most dependent on:

– Internal reuse (11.4%)

– Raw material from both suppliers (11.4%)

– Recycle from OEM #1 (11.4%)

– Raw zinc to supplier #1 from environment (10.6%)

Zinc Plating Network Flow Case Study - Results

• Suggested Network Modifications:

– To reduce amount of waste generated by plating shop #1

• Increase the recycle from OEM #1

• Increase internal reuse

– Similar analysis can be performed for remaining waste streams

Zinc Plating Network Flow Case Study - Results

Mass Intensity Gross ProfitSystem Type w/o mod. w/ mod.

Overall System 1.307

Chemical Supplier #1

1.075

1.136

Plating Shop #1 1.167

1.183

Automotive OEM #1

1.053

1.031

w/o mod. w/ mod.

Environmental Economic

% change % change

Chemical Supplier #2

Plating Shop #2

Automotive OEM #2

1.199

1.053

1.087

1.158

1.211

1.042

1.031

8.26

2.05

4.31

0.77

-2.37

1.04

0.00

$306,429

$14,062

$3,514

$160,508

$18,315

$109,783

$-1,922

$387,236

$15,642

$4,742

$226,975

$26,656

$108,421

$-3,656

20.20

10.10

25.90

29.28

31.29

-1.26

-47.43

Concluding Remarks

• Through Percentage Environs we can:

– Trace industrial waste and product streams back to their origins

– Determine which flows the output is most dependent on

• Combination of EIOA, sustainability metrics, and decision-analysis framework:

– Identifies changes to be made to realize improved state of environmental and economic sustainability

• National Science Foundation – DMI 0225844, and DGE 9987598

• Wayne State University – Institute of Manufacturing Research

Acknowledgments