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Logistics Performance Measurement in Thailand




               Ruth Banomyong (PhD)
             Centre for Logistics Research
                Thammasat University

                ruth@banomyong.com
Agenda
   1. Introduction
   2. Research Objectives
   3. Literature Review
   4. Logistics Performance Measurement
      Framework
   5. Thailand’s Logistics Performance Results
   6. Comparing against the WB’s Logistics
      Performance Index
   7. Summary
    The author would like to acknowledge the presentation done by Ojala &
   Lorrentz on May 12, 2011 entitled “Towards an improved methodology in
logistics cost and performance measurement through the LPIO network” in the
                                literature review
Introduction
• Since 2001, Thailand has recognised
  logistics development as a national
  priority.
• A national logistics development policy
  has been approved for the period 2006-
  2010.
• The NESDB is currently reviewing the
  existing plan and is developing the new
  plan for the next 5 years.
Thailand Logistics Development Strategy (2006-2010)

  16%                                                                                                                    13%
           Vision               To establish a world-class logistics system to support Thailand
(2005)                                                                                                                 (2010)
                                          as Indochina’s trade and investment center


1.5
                       1 To enhance trade facilitation with an aim to increase cost efficiency and customer
                         responsiveness of businesses, and also reliability and security of their logistics process)
          Objective
                       2 To create economic value from the logistics and other supporting industries                      1


7.3
                                                                                                                          6


                              1             2                   3                   4                  5
                                           New Trade
         Strategic        Business          Lanes and       Logistics Service
                                                                               Trade Facilitation       Capacity
         Agenda           Logistics          Logistics      Internationalizati
                                                                                Enhancement             Building
                        Improvement          Network                on
                                           Optimization




7.2
              Implementation
                                          1. Aim at the world-class technology and skills.                                6
                                          2. Focus primarily on strategic industries.
                 Principles               3. Any change management must be customer oriented.
Introduction
• The Thai Ministry of Industry is responsible for
  the strategic agenda on “Business Logistics
  Improvement”.
• The logistics bureau at the Department of
  Primary Industries and Mines at the Thai
  Ministry of Industry has the mission to support
  and develop industrial logistic system in
  Thailand.
• In collaboration with Thammasat University, a
  study was conducted to assess logistics
  performance of Thai firms in 2010.
Research Objectives
1. To Develop an Assessment Framework for
   Firms’ Logistics Performance
2. To assess industries based on the ISIC code
3. To establish a logistics performance database
4. To disseminate logistics performance scores to
   stakeholders
5. To improve Thailand’s logistics performance
   based on benchmarking methodology
Literature Review:
 Logistics concepts are not statistical units

• Firm level (survey) data vs. macro level statistics

• Linkage to National Accounts data only implicit

• Self-reported costs often subjective
   – Aggregation may also lead to ”double counting”
   – One respondent from a very large firm often
     misleading
   – SME data important to get a balanced picture
In short: severe knowledge gaps exist especially
         on the concept of logistics costs
Main types of logistics study/survey

• Statistics-based studies applying models
  – Econometric
  – Other modelling approaches


• Case study-based approaches

• Surveys using questionnaires
  – Comprehensive themes
  – Single-theme surveys
However, severe knowledge gaps on
logistics performance indicators & costs

• Lack of uniform methods & terminology

• Very few cross-country studies made, thus
  little comparative data exists across
  – Countries
  – Industries

• Comparisons across studies problematic
Examples of statistics-based logistics studies
•   Annual State of Logistics Report U.S              1989 
•   Bowersox, Rodrigues, Calantone & Closs, Stank 1999, 2002, 2005
•   South Africa State of Logistics Survey            2003 
•   Svensk Makrologistik (Sweden)                     2008 
•   Radelet and Sachs                                 1998
•   Lee & Hausmann (World Bank background note)       2005
World Bank case studies on national
   logistics costs in Low-Income countries
• Arvis: Sub-Saharan and North Africa            2003
• Ojala: Moldova, Albania, Ukraine, Central Asia 2003
• Naula: Central Asia                            2007
Examples of surveys using questionnaires
•   ELA & A.T. Kearney                                 1987         5
•   Master of Logistics                                1990         10+
•   Finland State of Logistics                         1991         6
•   German Logistics Association BVL                   1995         10+
•   State of Logistics: The Canadian Report            200X         3-4
•   Norwegian Logistics barometer                      2003         4
•   SCI Logistics barometer Germany                    2000s        3+
•   ASLOG L'Etat de l'art de la logistique française   2005/2006    2+
•   McKinsey Global Supply Chains                      2006 & 2008   2
•   LogOn Baltic Logistics Survey                      2007          1
•   World Bank Logistics Performance Index             2007         2
•   Swiss Logistics market, St. Gallen University      2009         3
Logistics is an important source of competitive advantage
    for large and medium-sized manufacturing and trading firms

       Logistics has an
       impact on…         Customer service level


      Logistics has an
      impact on…           Impact on profitability



Logistics is … Source of competitive advantage



        Logistics is … Top management priority


                                                     0%        20 %      40 %     60 %    80 %      100 %

                     Strongly disagree   Disagree    Neither agree nor disagree   Agree   Strongly agree




n=329; Finland State of Logistics 2009, available at: www.mintc.fi
How high are logistics costs for
  manufacturing and trading firms?

Reviewing some recent survey results:
• No universal definition exists on firm or
  macro levels, therefore conceptions
  inevitable vary
• Translation and educational issues are
  also prevalent in cross-cultural studies
Logistics cost indicators in the Baltic Sea Region in
             2007, % of sales, N = 574
                 Manufacturing                        Wholesale & retail trade




Source: Ojala et al.; LogOn Baltic Master Report 3:2007, www.logonbaltic.info
Logistics Costs as a % of GDP in Brazil
           12.1%     11.5%    11.6%
           0.4%      0.4%     0.4%
100%       0.6%     0.6%      0.7%
90%                                        Administration
                                          Administrativo

80%        3.6%     3.7%      3.5%
                                           Warehousing
                                          Armazenagem
70%
60%
                                           Inventory
                                          Estoque
50%
40%                                        Transportation
                                          Transporte
           7.5%     6.8%      6.9%
30%
20%
10%
 0%                                   Source:
          2004     2006      2008
                                      ILOS Institute
…but using costs as % of product value
      provides a very different picture
                          Logistics Costs as Percentage of
                                      Product Value, 2004




Based on Guasch and Kogan (2006) ; graph from Guerrero et al. 2010
The challenges of measuring logistics
   performance on a national level:
       Scarce empirical evidence

     No generally followed methods

        No uniform terminology



      Limited or no comparability!!!
Logistics Management Defined

  “Logistics Management is that part of Supply
Chain Management that plans, implements, and
   controls the efficient, effective forward and
reverse flow and storage of goods, services and
 related information between the point of origin
 and the point of consumption in order to meet
           customers' requirements. ”
              Council of Supply Chain Management Professional(2004)
Key Logistics Activities
•   Logistics communication & order processing
•   Customer service & support
•   Demand forecasting & planning
•   Purchasing & Procurement
•   Material handling & packaging
•   Inventory Management
•   Transportation
•   Facilities site selection, warehousing & storage
•   Return goods handling and reverse logistics
         Source: Grant et al., 2006
                                                       20
Conceptual Framework

   Cost       Time       Reliability
dimension   dimension    dimension



            9 Logistic
            activities



            27 KPIs
KPI logistics assessment framework
   Logistic activities              Cost                         Time                    Reliability

Customer service and     Ratio of customer service Average order cycle time      DIFOT
support                      cost per sale
Purchasing and           Ratio of procurement cost Average procurement cycle     Supplier In Full and
procurement                  per sale                  time                            On-Time Rate
Information Processing Ratio of information          Average order processing    Order Accuracy Rate
                           processing cost per           cycle time
                           sale
Transportation         Ratio of transportation       Average delivery cycle time DIFOT
                           cost per sale
Warehousing and site     Ratio of warehousing cost Average inventory cycle time Inventory Accuracy
selection                    per sale
Demand planning and      Ratio of forecasting cost   Average forecast period     Forecast Accuracy Rate
forecasting                    per sale
Inventory management Ratio of inventory         Average inventory day            Inventory Out of Stock
                         carrying cost per sale                                      Rate

Material handling and    Ratio of value damaged      Average material handling   Damage Rate
packaging                     per sale                    and packaging
Reversed Logistics       Ratio of returned goods     Average cycle time for      Rate of Return Goods
                             value per sale               customer return
KPI Assessment Framework
• However, not all KPIs are of equal importance.
• 9 key KPIs can reflect overall logistics
  performance

     Cost            Time           Reliability
   Transport      Order Cycle     Delivery in Full
                     Time           & on Time
  Warehouse      Delivery Cycle     Forecast
                      Time          Accuracy
   Inventory     Inventory days    Return Rate
THAILAND’s Logistics Performance Results

Selected Samples from 5 industries: Only best-in-class are
chosen

             Industry                No. of company
  Foods                                     48
  Textiles                                  40
  Electrical & Electronics                  40
  Automotives                               32
  Plastics                                  40
              Total                        200
THAILAND’s Logistics Performance Results

200 Samples
THAILAND’s Logistics Performance Results
Industry comparison
1. Cost dimension Logistics cost per Sales ratio
       10.0%
        8.0%
        6.0%
        4.0%
        2.0%
        0.0%
                   Foods    Textiles     EE        Auto   Plastic
      Admin cost   0.6%      0.6%        0.7%      0.8%   0.8%
      Trans cost   3.6%      3.6%        1.0%      5.6%   4.8%
      WH cost      1.7%      1.2%        0.9%      1.4%   1.3%
      Inv cost     0.7%      1.2%        4.6%      0.7%   1.9%
THAILAND’s Logistics Performance Results
2. Time dimension

   40
   35
   30
   25
   20
   15
   10
     5
   -
             Average Order Cycle Time   Average Delivery Cycle Time   Average Inventory Day (Day)
                      (Day)                       (Day)
   Foods               11                            2                            40
   Textile              4                            1                            27
   EE                   6                            2                            27
   Auto                29                            1                            26
   Plastic              4                            2                            15
THAILAND’s Logistics Performance Results
3. Reliability dimension

    94%
    92%
    90%
    88%
    86%
    84%
    82%
    80%
    78%
                DIFOT      Forecast accuracy
    Foods        91%             86%
    Textile     88%              85%
    EE          92%              87%
    Auto        89%              86%
    Plastic     89%              94%
THAILAND’s Logistics Performance Results
3. Reliability dimension

    4.00%

    3.50%

    3.00%

    2.50%        4.00%

    2.00%                                  2.26%
                          2.13%    2.04%
    1.50%
                                                   1.93%
    1.00%

    0.50%

    0.00%

                             Return rate

               Foods     Textile    EE     Auto    Plastic
A proposed Composite Performance Index
                            Cost                      Time                        Reliability

                                           Average Average
                                                            Average                                      Total Score
                                     Trans Order Delivery                  Forecast Returned
                   Inv. cost WH cost                       Inventory DIFOT
                                      cost  Cycle Cycle                    Accuracy Rate
                                                              Day
                                            Time    Time

Food      Median    0.73%   1.73%   3.56%    11.00     2.10     39.50 91.15%       86.00%       4.00%
          Scale       4       3       3       3        3        3         3           3           3     3.11
Textile   Median    1.23%   1.23%   3.61%   4.44      1.29     27.00    88.00%     84.50%       2.13%
          Scale       4       3       3       3        3        3         3           3           3     3.11
  EE      Median    4.60%   0.94%   1.03%   6.44      1.67     26.50    91.50%     86.50%       2.04%
                                                                                                        3.11
                                                                                                               3.066
          Scale       3       4       3           3        3        3         3        3          3
 Auto     Median    0.67%   1.41%   5.56%   28.50     1.23     26.00    88.50%     85.50%       2.26%
          Scale       3       3       3       3        3        3         3           3           3     3.00
Plastic   Median    1.87%   1.26%   4.84%   3.98      2.10     15.00    88.50%     94.00%       1.93%
          Scale       3       3       3       3        3        3         3           3           3     3.00
Comparing against the WB’s LPI
     Thailand (LPI)          2007           2010
          Score              3.31           3.29
          Rank                31             35
Note:
• Different time period so comparison not adequate
• Thailand’s own volatile internal political situation
  must have increased negative perceptions (i.e.
  Yellow vs. Red)
Comparing against the WB’s LP

• A follow up was conducted based on WB’s
  LPI survey.
• The idea was to explore how Thai
  manufacturers perceived logistics
  performance in Thailand.
• The same 200 respondents provided the
  answers.
Comparing against the WB’s LP




                                33
Comparing against the WB’s LP
  200 Samples: 3.45 (26th)




                                34
Some observations…
• Perception is derived from manufacturers
  not from external service providers
• In-depth understanding of the Thai context
• Infrastructure, Customs, Logistics Quality
  and Compliance seems less problematic
• Similarities for timeliness, track & trace
Summary
   2010 Indicators      Score
World Bank LPI           3.29
200 Thai companies      3.45
(perceptual)
200 Thai companies      3.066
(composite index)
Future steps
• Weighting of dimensions to improve
  composite index
• Expand coverage to 12 industrial sectors
• Sample to cover 500 firms
• Finalise database…
Thank you for your attention


Comments & Questions are
     welcomed…

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Logistics performance thailand

  • 1. Logistics Performance Measurement in Thailand Ruth Banomyong (PhD) Centre for Logistics Research Thammasat University ruth@banomyong.com
  • 2. Agenda 1. Introduction 2. Research Objectives 3. Literature Review 4. Logistics Performance Measurement Framework 5. Thailand’s Logistics Performance Results 6. Comparing against the WB’s Logistics Performance Index 7. Summary The author would like to acknowledge the presentation done by Ojala & Lorrentz on May 12, 2011 entitled “Towards an improved methodology in logistics cost and performance measurement through the LPIO network” in the literature review
  • 3. Introduction • Since 2001, Thailand has recognised logistics development as a national priority. • A national logistics development policy has been approved for the period 2006- 2010. • The NESDB is currently reviewing the existing plan and is developing the new plan for the next 5 years.
  • 4. Thailand Logistics Development Strategy (2006-2010) 16% 13% Vision To establish a world-class logistics system to support Thailand (2005) (2010) as Indochina’s trade and investment center 1.5 1 To enhance trade facilitation with an aim to increase cost efficiency and customer responsiveness of businesses, and also reliability and security of their logistics process) Objective 2 To create economic value from the logistics and other supporting industries 1 7.3 6 1 2 3 4 5 New Trade Strategic Business Lanes and Logistics Service Trade Facilitation Capacity Agenda Logistics Logistics Internationalizati Enhancement Building Improvement Network on Optimization 7.2 Implementation 1. Aim at the world-class technology and skills. 6 2. Focus primarily on strategic industries. Principles 3. Any change management must be customer oriented.
  • 5. Introduction • The Thai Ministry of Industry is responsible for the strategic agenda on “Business Logistics Improvement”. • The logistics bureau at the Department of Primary Industries and Mines at the Thai Ministry of Industry has the mission to support and develop industrial logistic system in Thailand. • In collaboration with Thammasat University, a study was conducted to assess logistics performance of Thai firms in 2010.
  • 6. Research Objectives 1. To Develop an Assessment Framework for Firms’ Logistics Performance 2. To assess industries based on the ISIC code 3. To establish a logistics performance database 4. To disseminate logistics performance scores to stakeholders 5. To improve Thailand’s logistics performance based on benchmarking methodology
  • 7. Literature Review: Logistics concepts are not statistical units • Firm level (survey) data vs. macro level statistics • Linkage to National Accounts data only implicit • Self-reported costs often subjective – Aggregation may also lead to ”double counting” – One respondent from a very large firm often misleading – SME data important to get a balanced picture In short: severe knowledge gaps exist especially on the concept of logistics costs
  • 8. Main types of logistics study/survey • Statistics-based studies applying models – Econometric – Other modelling approaches • Case study-based approaches • Surveys using questionnaires – Comprehensive themes – Single-theme surveys
  • 9. However, severe knowledge gaps on logistics performance indicators & costs • Lack of uniform methods & terminology • Very few cross-country studies made, thus little comparative data exists across – Countries – Industries • Comparisons across studies problematic
  • 10. Examples of statistics-based logistics studies • Annual State of Logistics Report U.S 1989  • Bowersox, Rodrigues, Calantone & Closs, Stank 1999, 2002, 2005 • South Africa State of Logistics Survey 2003  • Svensk Makrologistik (Sweden) 2008  • Radelet and Sachs 1998 • Lee & Hausmann (World Bank background note) 2005
  • 11. World Bank case studies on national logistics costs in Low-Income countries • Arvis: Sub-Saharan and North Africa 2003 • Ojala: Moldova, Albania, Ukraine, Central Asia 2003 • Naula: Central Asia 2007
  • 12. Examples of surveys using questionnaires • ELA & A.T. Kearney 1987  5 • Master of Logistics 1990  10+ • Finland State of Logistics 1991  6 • German Logistics Association BVL 1995  10+ • State of Logistics: The Canadian Report 200X  3-4 • Norwegian Logistics barometer 2003  4 • SCI Logistics barometer Germany 2000s  3+ • ASLOG L'Etat de l'art de la logistique française 2005/2006  2+ • McKinsey Global Supply Chains 2006 & 2008 2 • LogOn Baltic Logistics Survey 2007 1 • World Bank Logistics Performance Index 2007  2 • Swiss Logistics market, St. Gallen University 2009  3
  • 13. Logistics is an important source of competitive advantage for large and medium-sized manufacturing and trading firms Logistics has an impact on… Customer service level Logistics has an impact on… Impact on profitability Logistics is … Source of competitive advantage Logistics is … Top management priority 0% 20 % 40 % 60 % 80 % 100 % Strongly disagree Disagree Neither agree nor disagree Agree Strongly agree n=329; Finland State of Logistics 2009, available at: www.mintc.fi
  • 14. How high are logistics costs for manufacturing and trading firms? Reviewing some recent survey results: • No universal definition exists on firm or macro levels, therefore conceptions inevitable vary • Translation and educational issues are also prevalent in cross-cultural studies
  • 15. Logistics cost indicators in the Baltic Sea Region in 2007, % of sales, N = 574 Manufacturing Wholesale & retail trade Source: Ojala et al.; LogOn Baltic Master Report 3:2007, www.logonbaltic.info
  • 16. Logistics Costs as a % of GDP in Brazil 12.1% 11.5% 11.6% 0.4% 0.4% 0.4% 100% 0.6% 0.6% 0.7% 90% Administration Administrativo 80% 3.6% 3.7% 3.5% Warehousing Armazenagem 70% 60% Inventory Estoque 50% 40% Transportation Transporte 7.5% 6.8% 6.9% 30% 20% 10% 0% Source: 2004 2006 2008 ILOS Institute
  • 17. …but using costs as % of product value provides a very different picture Logistics Costs as Percentage of Product Value, 2004 Based on Guasch and Kogan (2006) ; graph from Guerrero et al. 2010
  • 18. The challenges of measuring logistics performance on a national level: Scarce empirical evidence No generally followed methods No uniform terminology Limited or no comparability!!!
  • 19. Logistics Management Defined “Logistics Management is that part of Supply Chain Management that plans, implements, and controls the efficient, effective forward and reverse flow and storage of goods, services and related information between the point of origin and the point of consumption in order to meet customers' requirements. ” Council of Supply Chain Management Professional(2004)
  • 20. Key Logistics Activities • Logistics communication & order processing • Customer service & support • Demand forecasting & planning • Purchasing & Procurement • Material handling & packaging • Inventory Management • Transportation • Facilities site selection, warehousing & storage • Return goods handling and reverse logistics Source: Grant et al., 2006 20
  • 21. Conceptual Framework Cost Time Reliability dimension dimension dimension 9 Logistic activities 27 KPIs
  • 22. KPI logistics assessment framework Logistic activities Cost Time Reliability Customer service and Ratio of customer service Average order cycle time DIFOT support cost per sale Purchasing and Ratio of procurement cost Average procurement cycle Supplier In Full and procurement per sale time On-Time Rate Information Processing Ratio of information Average order processing Order Accuracy Rate processing cost per cycle time sale Transportation Ratio of transportation Average delivery cycle time DIFOT cost per sale Warehousing and site Ratio of warehousing cost Average inventory cycle time Inventory Accuracy selection per sale Demand planning and Ratio of forecasting cost Average forecast period Forecast Accuracy Rate forecasting per sale Inventory management Ratio of inventory Average inventory day Inventory Out of Stock carrying cost per sale Rate Material handling and Ratio of value damaged Average material handling Damage Rate packaging per sale and packaging Reversed Logistics Ratio of returned goods Average cycle time for Rate of Return Goods value per sale customer return
  • 23. KPI Assessment Framework • However, not all KPIs are of equal importance. • 9 key KPIs can reflect overall logistics performance Cost Time Reliability Transport Order Cycle Delivery in Full Time & on Time Warehouse Delivery Cycle Forecast Time Accuracy Inventory Inventory days Return Rate
  • 24. THAILAND’s Logistics Performance Results Selected Samples from 5 industries: Only best-in-class are chosen Industry No. of company Foods 48 Textiles 40 Electrical & Electronics 40 Automotives 32 Plastics 40 Total 200
  • 25. THAILAND’s Logistics Performance Results 200 Samples
  • 26. THAILAND’s Logistics Performance Results Industry comparison 1. Cost dimension Logistics cost per Sales ratio 10.0% 8.0% 6.0% 4.0% 2.0% 0.0% Foods Textiles EE Auto Plastic Admin cost 0.6% 0.6% 0.7% 0.8% 0.8% Trans cost 3.6% 3.6% 1.0% 5.6% 4.8% WH cost 1.7% 1.2% 0.9% 1.4% 1.3% Inv cost 0.7% 1.2% 4.6% 0.7% 1.9%
  • 27. THAILAND’s Logistics Performance Results 2. Time dimension 40 35 30 25 20 15 10 5 - Average Order Cycle Time Average Delivery Cycle Time Average Inventory Day (Day) (Day) (Day) Foods 11 2 40 Textile 4 1 27 EE 6 2 27 Auto 29 1 26 Plastic 4 2 15
  • 28. THAILAND’s Logistics Performance Results 3. Reliability dimension 94% 92% 90% 88% 86% 84% 82% 80% 78% DIFOT Forecast accuracy Foods 91% 86% Textile 88% 85% EE 92% 87% Auto 89% 86% Plastic 89% 94%
  • 29. THAILAND’s Logistics Performance Results 3. Reliability dimension 4.00% 3.50% 3.00% 2.50% 4.00% 2.00% 2.26% 2.13% 2.04% 1.50% 1.93% 1.00% 0.50% 0.00% Return rate Foods Textile EE Auto Plastic
  • 30. A proposed Composite Performance Index Cost Time Reliability Average Average Average Total Score Trans Order Delivery Forecast Returned Inv. cost WH cost Inventory DIFOT cost Cycle Cycle Accuracy Rate Day Time Time Food Median 0.73% 1.73% 3.56% 11.00 2.10 39.50 91.15% 86.00% 4.00% Scale 4 3 3 3 3 3 3 3 3 3.11 Textile Median 1.23% 1.23% 3.61% 4.44 1.29 27.00 88.00% 84.50% 2.13% Scale 4 3 3 3 3 3 3 3 3 3.11 EE Median 4.60% 0.94% 1.03% 6.44 1.67 26.50 91.50% 86.50% 2.04% 3.11 3.066 Scale 3 4 3 3 3 3 3 3 3 Auto Median 0.67% 1.41% 5.56% 28.50 1.23 26.00 88.50% 85.50% 2.26% Scale 3 3 3 3 3 3 3 3 3 3.00 Plastic Median 1.87% 1.26% 4.84% 3.98 2.10 15.00 88.50% 94.00% 1.93% Scale 3 3 3 3 3 3 3 3 3 3.00
  • 31. Comparing against the WB’s LPI Thailand (LPI) 2007 2010 Score 3.31 3.29 Rank 31 35 Note: • Different time period so comparison not adequate • Thailand’s own volatile internal political situation must have increased negative perceptions (i.e. Yellow vs. Red)
  • 32. Comparing against the WB’s LP • A follow up was conducted based on WB’s LPI survey. • The idea was to explore how Thai manufacturers perceived logistics performance in Thailand. • The same 200 respondents provided the answers.
  • 33. Comparing against the WB’s LP 33
  • 34. Comparing against the WB’s LP 200 Samples: 3.45 (26th) 34
  • 35. Some observations… • Perception is derived from manufacturers not from external service providers • In-depth understanding of the Thai context • Infrastructure, Customs, Logistics Quality and Compliance seems less problematic • Similarities for timeliness, track & trace
  • 36. Summary 2010 Indicators Score World Bank LPI 3.29 200 Thai companies 3.45 (perceptual) 200 Thai companies 3.066 (composite index)
  • 37. Future steps • Weighting of dimensions to improve composite index • Expand coverage to 12 industrial sectors • Sample to cover 500 firms • Finalise database…
  • 38. Thank you for your attention Comments & Questions are welcomed…