1 / 22

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

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

charlesbush
Download Presentation

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

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 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

  2. Outline • 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

  3. Need for Analysis Methodology • 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

  4. Ecological Input-Output Flow Analysis (EIOA) • 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

  5. 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 Hjto Hi yw,0i, yp,0i = Outflow from Hi zi0 = Inflow to Hi

  6. Ecological Input-Output Flow Analysis (EIOA) • Throughflow: Sum of all outflows from a node

  7. 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 nodeattributable to inflow, outflow, or internodal flow

  8. 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:

  9. 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

  10. Quantification of Sustainability Using Metrics • 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?

  11. 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

  12. Introduction of a Decision-Analysis Framework • 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

  13. Introduction of a Decision-Analysis Framework

  14. Decision-Analysis Framework – Environmental Sustainability Analysis

  15. Decision-Analysis Framework – Economic Sustainability Analysis

  16. Case Study on Zinc Plating Network Flow Suppliers (Chemicals) Tier I Manufacturing (Metal Plating) OEM Manufacturing (Automotive Assembly) H3 H5 H1 (Plating Shop # 1) (Automotive OEM # 1) (Chemical Supplier # 1) Product H4 H6 H2 (Plating Shop # 2) (Chemical Supplier # 2) (Automotive OEM # 2) Waste

  17. Environmental Economic System Type Mass Intensity Gross Profit Chemical Supplier #1 1.075 $14,062 1.136 $3,514 Chemical Supplier #2 1.167 Plating Shop #1 $160,508 1.183 $18,315 Plating Shop #2 1.053 $109,783 Automotive OEM #1 Automotive OEM #2 1.031 $-1,922 1.307 $306,429 Overall System Zinc Plating Network Flow Case Study

  18. 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%)

  19. 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

  20. Zinc Plating Network Flow Case Study - Results Environmental Economic Mass Intensity Gross Profit System Type w/o mod. w/ mod. % change w/o mod. w/ mod. % change Chemical Supplier #1 1.053 2.05 $14,062 $15,642 10.10 1.075 Chemical Supplier #2 1.087 4.31 $3,514 $4,742 25.90 1.136 Plating Shop #1 1.158 0.77 $160,508 $226,975 29.28 1.167 Plating Shop #2 1.211 -2.37 $18,315 $26,656 31.29 1.183 Automotive OEM #1 1.042 1.04 $109,783 $108,421 -1.26 1.053 Automotive OEM #2 1.031 0.00 $-1,922 $-3,656 -47.43 1.031 Overall System 1.199 8.26 $306,429 $387,236 20.20 1.307

  21. 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

  22. Acknowledgments • National Science Foundation – DMI 0225844, and DGE 9987598 • Wayne State University – Institute of Manufacturing Research

More Related