Transcript Document

Resource efficiency benchmarking of the Russia Ferrous Foundry Industry:

Key findings of the study

Implemented under IFC Russia Cleaner Production Program

GOAL:

to identify the ferrous foundry sector’ resource efficiency potential and develop practical tools for foundries to implement it

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Benchmarking study time line 1.

Sept. 2009 START UP METHODOLOGY ADVISORY BOARD 2. October – November 2009 SELECTION OF PARTICIPANTS QUESTIONAIRS 3.

Jan-May 2010 DATA COLELCTION ANALYSIS 3 meetings of ADVISORY BOARD 4.

September 2010 PUBLIC REPORT 3

What made our study successful : Stakeholder consultations process

Stakeholder consultations at every important stage:

Methodology

  

Questionnaire for data collection Self diagnostic guide Matrix of casting types

Advisory board included over 20 representatives from industry, R&D, officials and policy makers .

Consultation process

Written comments on all key documents

 

Meetings of Advisory board Workshops in smaller teams 4

What is being benchmarked? 7 Key performance indicators (KPIs) ENRGY USE KPI 4 PROCESS YEILD KPI 1 SAND USE KPI 5 OVERALL PRODUCTION EFFICIENCY KPI 2 WATER USE KPI 6 Depends on technology and processes Depends on type of final product and technology LABOUR KPI 7 CAPACITY UTILIZATION KPI 3 Depend on management practices and equipment 5

buy 1 Raw material 2 Selected KPIs and methodology tailored to foundry processes 1 Selected KPIs Process Yield 2 Overall production efficiency Metal recycling

Separation, transport

1 2 7 3 4 Capacity utilization Energy Metal yard

Storage, charging

Melting shop

Melting Holding Treatment Risers and runners Scrap

5 6 7 Fresh Sand Water Labor 1 2 7 3 4 1 2 4 6 7 3 Casting shop

Pouring Cooling Shake out Separation

Finishing shop

Shot blasting Grinding Deburring Thermal treatment Inspection/testing

Packaging Labeling Storage Shipping Sell Sand plant

Storage, preparation

Molding shop

Mold forming Core making Core setting

1 2 6 7 3 4 6 7 2 3 7 1 2 5 7 3 Sand recycling

Transport, сooling

2 5 3 7 KPIs methodology tailored to foundry process 6

32 category’ matrix developed to cover diversity of foundry’ production Grey Iron Product Categories automatic moulding GABH = automotive engine blocks and cylinder heads GAAO = automotive other GAAG = agriculture GAMI = mining Ductile Iron Product Categories automatic moulding DAAU = automotive other DAGE = general engineering mechanized moulding GMBH = medium size engine blocks and heads (energy generation) GMAG = agriculture GMMI = mining GMGE = general engineering mechanized moulding DMAU = automotive DMGE = general engineering manual (hand) moulding GHBH = large size engine blocks and heads (energy generation) GHMI = mining GHGE = general engineering manual (hand) moulding DHEN = energy generation components DHCO = compressor components DHGE = general engineering c: carbon steel, s: stainless steel, m: manganese; a: high alloy steel Steel Product Categories automatic moulding SARC = railway components (c) SAMM = mining components (m) SAAC = commercial vehicles (c) SAGC = general engineering (c) mechanized moulding SMRC = railway components (c) SMMM = mining components (m) SMPC = pumps & valves (c) SMPS = pumps & valves (s) SMGC = general engineering (c) SMAC = commercial vehicles (c) manual (hand) moulding SHMM = mining components (m) SHPC = pumps & valves (c) SHEA = energy components (a) SHGC = general engineering (c) 7

Study based on real data from enterprises 215 foundries (first long list; 25% of all legally registered ferrous foundries in Russia ) 55 sets of independent data for foundries

Coverage : • Period : • Total # of data sets: • Categories covered: • Industry:

3

years (2007-2009)

150 27

out of 32 (85%)

478 kt

(14% of market)

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KEY FINDINGS OF THE STUDY

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Russia foundries significantly lag behind European Russian foundry European foundry предприятие

Russian ferrous foundry us per tone of good casting: • Energy:

3

times more • Sand: • Water: • Labor :

3,6 161 3,6

times more times more times more man-hours

4.5

mln t CO2e

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Inefficiencies eliminate Russian foundries’ competitive advantage in low prices

Prices for major resources in Russia are less than in the EU: • • Energy: Labor:

54%

less

92%

less • Overheads:

71%

less Costs:

-36%

EU Russia Russia at EU efficiency level

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High levels of defect rate

• Average defect rate in Russia is

4

times higher than in EU • Effect export: Russia exports less than

1%

of casting • Low quality – threat for internal markets as customers require certain quality (eg. automotive producers)

EU 4 times Russia 12

How much can Russia ferrous foundry industry gain via resource efficiency?

$2.13 bln USD - 26% $ 3 bln USD - 29% $ 3.3 bln USD

Cost structure index for ferrous foundry (materials, labor, energy, equipment maintenance, overheads, water and sand)

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Over 50% of the potential can be implemented via low cost measures and management practices Costs $3.3 bln USD - 43% Low cost and management practices Capital investment 14

KPIs and resource efficiency potential: Capital investment Low cost and management practices 15

Benchmarking of KPIs is a tool to priorities interventions to achieve maximum impact

Cost structure

Overheads Equipment related Labor 12,8% 7,1% 21,4% -3.1% -2.7% $ 3.3 bln USD Energy 13,4% -12% -9.2% 9,7% 4,4% 9,4% 4,2% Materials (metal) 45,2% -1.9% 43,3%

Russia average level Level of best practices

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Next steps:

• Toolkit: Self diagnostic guide, Compendium of KPIs, Best practice guide, Benchmarking study report • Pilot program with 5-7 companies with foundries • Resource efficiency finance directly and via FIs

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Information available in public domain

http://www.

ifc.org/ifcext/eca.nsf/

Content/Russia_Foundry_Russian http://www.ifc.org/rcpp

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IFC contacts IFC Russia Cleaner Production (IFC RCPP)

Yana Gorbatenko, Program manager [email protected]

Study team IFC RCPP:

• •

Kristina Turilova, Task leader Boris Nekrasov, Technical expert [email protected]

[email protected]

Maria Sigutina, PR and stakeholders [email protected]

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