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Logistics Management Dr. Jagathy Raj V. P. Associate Professor School of Management Studies Cochin University of Science and Technology Kochi - 22
Every company dreams of  achieving the Seven R’s ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The turbulent business environment ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Logistics Management ,[object Object]
Logistics ,[object Object],[object Object]
The focus of modern business ,[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object]
Introduction ,[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object]
Introduction ,[object Object],[object Object]
Logistics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Logistics ,[object Object],[object Object]
Logistics ,[object Object],[object Object]
Independent Business Function Manufacturing Sales Distribution Procurement Inventory  Control Out Come Aggressive  preaching  Skill Objective Maximization  of  Profit by  Sales volume
Limited Integrated Business Manufacturing  Management Physical Distribution and Sales Managemt Material  Management Output Price – based  competition Objective Cost Control
Internal Integrated Business Function (Logistics Management Manufacturing  Management Marketing and  Distribution Management Material  Management OUTPUT Increased  Productivity. Profitability and Market Shares Objective Maximization  of profitable Sales  Values and  Cost Reduction
External Integrated Business Function (SCM) C U S T M E R S L O G I S T I C S V E N D E R S Output Customer Values  and Harmonics  Relations Relationships  Objective Core  Competency
Logistics ,[object Object]
Logistics ,[object Object],[object Object],[object Object],[object Object]
Logistics Management ,[object Object],[object Object],[object Object]
A Process view of Logistics Management
Flows in a Logistics  System ,[object Object],[object Object],[object Object],[object Object]
Logistics Management ,[object Object],[object Object]
Visual Representation of  Integrated  Logistics Management
Components ,[object Object],[object Object],[object Object]
Inbound Logistics ,[object Object],[object Object],[object Object],[object Object],[object Object]
Internal Logistics ,[object Object],[object Object],[object Object],[object Object],[object Object]
Out bound Logistics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Logistics Management ,[object Object]
Logistics Management ,[object Object]
Logistics Management ,[object Object],[object Object],[object Object]
Integrated Logistics Management ,[object Object]
Goals of Logistics system ,[object Object],[object Object]
The Value Chain (Porter[1985])
Major features of For  Logistics Management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Integrated Logistics Management ,[object Object],[object Object]
Integrated Logistics Management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Integrated Logistics Management ,[object Object]
Relative Importance Depends on ,[object Object],[object Object],[object Object]
Competitiveness depends on ,[object Object],[object Object],[object Object],[object Object]
The following objectives are realized ,[object Object],[object Object],[object Object],[object Object],[object Object]
Need for integration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Gaining Competitive Advantage through Logistics
Important Logistics Activities and Their Relations to Key Business Goals   Logistics has been recognized not only as a group of important functions, but as functions that have important strategic impacts as well
Strategic Logistics Planning ,[object Object],[object Object]
Strategic Logistics Planning ,[object Object],[object Object]
Strategic Logistics Planning ,[object Object]
Main objectives of logistics planning are:   ,[object Object],[object Object],[object Object],[object Object]
Strategic Logistics Planning ,[object Object]
The logistics planning is particularly crucial to those industries   ,[object Object],[object Object],[object Object]
Logistics planning includes ,[object Object],[object Object],[object Object],[object Object],[object Object]
A sound strategic logistics plan for a manufacturing company must aim at: ,[object Object],[object Object],[object Object],[object Object]
A sound strategic logistics plan for a manufacturing company must aim at: ,[object Object],[object Object],[object Object]
Logistics Management Decisions ,[object Object],[object Object],[object Object],[object Object]
Logistics Management Decisions Strategic ,[object Object],[object Object],[object Object],[object Object],Tactical Operational ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Logistics Application Areas  by Modeling Views Planning Horizons Supply chain planning Transportation planning Shipment planning Vehicle routing Warehousing Strategic ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Tactical ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Operational ,[object Object],[object Object],[object Object],[object Object],[object Object]
Logistics Modeling
Logistics Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Logistics Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Limitations of Available Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Limitations of Available Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Limitations -   Optimization Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Limitations -   Econometric Models ,[object Object],[object Object],[object Object],[object Object]
Limitations -   Simulation Models ,[object Object],[object Object],[object Object],[object Object]
The Major Elements of Logistics Composite Modeling Analysis
Characteristics of a Complex system   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Logistics Models must consider: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Logistics Models must consider: ,[object Object],[object Object],[object Object],[object Object],[object Object]
Logistics decisions for complex systems ,[object Object]
Characteristics of Complex systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Steel Plant Logistics Planning ,[object Object],[object Object],[object Object],[object Object],[object Object]
Steel Plant Logistics Planning ,[object Object],[object Object],[object Object]
Modeling of Steel Plant Logistics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Modeling of Steel Plant Logistics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Modeling Approaches ,[object Object],[object Object],[object Object],[object Object],[object Object]
Area Showing the Plant Site, Waterways and Lightering and HRC loading Points
The Problem ,[object Object]
Problem ,[object Object],[object Object],[object Object],[object Object]
More specifically, the problem deals with: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The important constraints are: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The important constraints are: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Objectives ,[object Object]
Strategic Problems   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Tactical Problems ,[object Object],[object Object],[object Object],[object Object]
Tactical Problems ,[object Object],[object Object]
Operational Problems ,[object Object]
Important Hierarchical Decisions Problems of Inbound Raw Material Logistics Level Nature of Decision Time Horizon Frequency of Revision Problems Models Decision Maker I Strategic Several Years Annual Source selection for raw materials Economic evaluation Top Management Vessel size selection Simulation and economic evaluation Jetty Location Simulation and economic evaluation Dredging of creek Simulation and economic evaluation Barge mix selection Simulation and economic evaluation Middle Management
Important Hierarchical Decisions Problems of Inbound Raw Material Logistics II Tactical One year Monthly Procurement Planning Linear programming Middle Management Ship scheduling Scheduling Logistics Manager III Operational One month Daily Barge scheduling Simulation and Scheduling Barge Master ,[object Object]
The composite modeling approach (CMA) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object],[object Object],[object Object]
Methodology ,[object Object],[object Object],[object Object],[object Object]
Models used for Raw Material and Finished Goods Logistics System
Least Cost Ship Size from each Load Port Optimum ship sizes for different load ports Load Port Ship Size and Cost/ton Goa MBC’s of 2800 T at Rs.135.57/ ton Mangalore MBC’s of 2800 T at Rs.177.43/ton Vizag 30,000 to 35,000 T at Rs.269.35/ton Orissa 30,000 to 35,000 T at Rs.279.39/ton Bahrain 30,000 to 35,000 T at Rs.281.32/ton South Africa 30,000 to 35,000 T at Rs.349.60/ton Brazil 65,000 T at Rs.460.33/ton
The LP Model for Making the Annual Procurement Plan ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Interpretations- LP model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The ship Lightering Simulation Model
The optimum barge mix selection model - assumptions:  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Optimum barge mix selection model ,[object Object],[object Object],[object Object]
Optimum barge mix selection model ,[object Object],[object Object]
[object Object],[object Object],[object Object]
Optimum barge mix selection model ,[object Object],[object Object]
The total cost for lightering and  HRC loading ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Results of Experiments on Barge Mix Optimization Model for Lightering and HRC loading Operations with Various Options B1 –2800, B2 – 2000, B3 – 1000, and B4 – 700 ton Barges Option Model Barges engaged for export Barges with back-to-back integration Optimum  Barge mix  of  B1,B2,B3,B4 Maximum Tons per Annum Average cost per ton  (Rs/ton) Feasibility (Yes/No) B1 B2 B1 B2 B1 B2 B3 B4 Without  back-to-back supply II 2 0 0 0 3 4 2 2 4496012 217.32 Yes IV 2 2 0 0 4 4 3 4 3684012 245.53 No With back-to-back supply V All 0 All 0 2 4 2 2 4692012 192.11 Yes VI 2 0 2 0 2 4 2 2 4692012 192.11 Yes *VII All All All All 2 2 5 5 213012 605.47  No VIII 2 2 2 2 2 6 3 4 5542412 161.18 Yes * Infeasible
Sensitivity Analysis Lighterage and HRC Loading Cost/ton when using  Various Combination of 2800 and 2000 ton Barges (B1 –2800, B2 – 2000, B3 – 1000, and B4 – 700 ton Barges) Barges with back-to-back integrated Optimum Barge mix Tons per Annum Average cost  Rs/ton B1 B2 B1 B2 B3 B4 2 2 2 5 4 2 5542412 161.18 2 3 2 6 3 4 5651212 161.52 3 2 3 6 2 4 5719212 163.32 3 3 3 6 6 4 5726012 167.60 3 4 3 5 2 4 5427212 177.91 2 4 3 5 4 4 5623212 166.99 2 5 2 6 3 3 5328812 174.81 4 4 5 5 5 2 5747612 173.35
Assumptions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Results from Model with two barges each of  2800 ton and 2000 ton in export and import circuit. B1-2800 ton Barge,B2-2000 ton Barge,B3-1000 ton Barge,B4-700 ton Barge.  Cost/per ton means average raw material  Lightering and HRC loading cost per ton) Barges Fair Weather Monsoon Weather Annual B1 B2 B3 B4 Ton/Mth Cost/ton Ton/Mth Cost/ton Ton/year Cost/ton 2 5 4 2 505901 167.03 373801 149.49 5542412 161.18 2 5 5 4 506101 168.08 373801 150.94 5544012 162.37 3 6 2 4 530101 165.29 372901 158.81 5732412 163.13 2 5 6 4 509451 168.55 372801 152.60 5566812 163.23 3 6 2 3 528801 165.53 372901 158.81 5722012 163.29 2 5 6 3 506801 169.02 372801 152.60 5545612 163.55 3 4 4 2 506001 170.45 373901 154.13 5543612 165.01
The results from experiments of barge-lightering model with various options (B1 –2800t, B2 – 2000t, B3 – 1000t, and B4 – 700t Barges ,  Values in ‘( )’ gives the Monsoon weather value)   OPTION Opt. Barge mix B1,B2,B3,B4 Fair-weather ton (Monsoon  tons) Tons per Annum Average cost per ton Rs/ton B1 B2 B3 B4 All 2800 t  Export and Import 2 4 2 2 398251 (376501) 4692012 192.11 2 nos. 2800 t Export 3 4 2 2 396751 (330501) 4496012 217.32 TWO 2800 t Export and Import 2 4 2 2 398251 (376501) 4692012 192.11 All 2800 t and 2000 t Export and Import 2 2 5 5 112501 (210001) 1740012 Cost very high at Rs 605.47  Ton 2 nos. 2800 t and 2 nos. 2000 t  Export 4 4 3 4 329201 (262601) 3684012 245.53 2 nos. 2800 t and 2 nos. 2000 t Export and Import 2 6 3 4 505901 (373801)) 5542412 161.18
Effect of Locating the Plant Jetty at Different Distances from the Sea B1-2800T Barge,B2-2000T Barge,B3-1000T Barge,B4-700T Barge Sl. No. Distance  of Jetty from the Sea  (in KM) Best Barge Mix Lighterage Cost in Rupees/Ton B1 B2 B3 B4 1 5 KM 5 4 0 0 102.23 2 10 KM 4 5 1 0 124.51 3 15 KM 4 5 1 0 126.87 4 20 KM 3 6 2 1 162.59 5 25 KM 3 4 4 2 185.64 6 30 KM 3 3 5 6 225.32
Effect of Locating the Plant Jetty at Different Distances from the Sea ,[object Object]
Effect of Dredging the Creek on Lighterage Cost ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Effect of Dredging the Creek on Lighterage Cost (B1 –2800t, B2 – 2000t, B3 – 1000t, and B4 – 700t Barges) Depth of Dredging in M. Opt. Barge mix B1,B2,B3,B4 Fair-weather ton (Monsoon  tons) Tons per Annum Average cost per ton Rs/ton 0 2,5,4,2 505901 (373801) 5542412 161.18 0.5 3,6,3,2 512810 (376901) 5610012 157.94 1.0 3,3,4,2 527201 (377901) 5718012 157.52 1.5 2,3,4,6 529651 (378901) 5764122 157.33 2.0 3,3,2,6 530451 (379301) 5781212 157.24
Observations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Monthly Ship Scheduling Model This is the plan for hiring ships for a month Load port Laycan Report Report at Load port At Bombay Leave Bombay Bahrain 20.4.07 - 30.4.07 25.4.07 02.5.07 04.5.07 Vizag 24.4.07 - 04.5.07 29.4.07 07.5.07 10.5.07 Mangalore 02.5.07 - 12.5.07 07.5.07 11.5.07 14.5.07 Vizag 02.5.07 - 12.5.07 07.5.07 15.5.07 17.5.07 Paradeep 06.5.07 - 16.5 07 11.5.07 20.5.07 23.5.07 S. Africa 03.5.07 - 13.5.07 08.5.07 24.5.07 28.5.07 Vizag 16.5.07 - 26.5.07 21.5.07 29.5.07 01.6.07
Daily Barge Scheduling Model The schedule for a Barge by the name : Mastya Rani Date Time Activity Ship Name 11.5.07 10.57 Start loading barge Sagar Kanya 11.5.07  14.27  End of loading Sagar Kanya 11.5.07  16.57  Full barge reaches gull  Sagar Kanya 11.5.07  19.44  Start through creek  loaded  Sagar Kanya 11.5.07  21.49  Reach the jetty loaded Sagar Kanya 11.5.07  21.49  Start unloading at brth1  Sagar Kanya 12.5.07  01.09  End unloading at brth1  Sagar Kanya 12.5.07  01.29  Start loading HRC at brth3  Krishna Sagar 12.5.07  03.29 End of loading at brth3  Krishna Sagar 12.5.07  07.29 Start through creek to gull  Krishna Sagar 12.5.07  09.34 Reach gull  Krishna Sagar 12.5.07  11.59 Reach export ship  Krishna Sagar
Results from Model where only 2800 ton and 2000 ton Barges are allowed to BFL (B1 –2800, B2 – 2000, B3 – 1000, and  B4 – 700 ton Barges ) Percentage Lightering at BFL Creek was not Dredged No Tide restriction 1 meter dredged creek 0.5 m dredged creek Cost  per  ton Opt.  Barge Mix (B1,B2.B3,B4) Cost  per  ton Opt.  Barge Mix (B1,B2.B3,B4) Cost  per  ton Opt. Barge Mix (B1,B2.B3,B4) Cost  per  ton Opt .Barge Mix (B1,B2.B3,B4) 100 186 2,6,0,0 171 2,5,0,0 173 2,5,0,0 176 2,5,0,0 75 169 2,5,2,0 156 1,5,4,0 157 1,6,4,0 158 1,6,3,0 50 156 2,5,2,0 143 0,6,4,1 144 1,5,4,0 145 1,6,3,0 25 163 2,5,3,0 150 0,5,5,0 152 1,6,4,0 154 1,6,3,1 0 170 1,5,3,2 159 0,5,6,0 160 0,5,5,1 162 0,5,6,0
Results from Model where only 2800 ton Barges are allowed to BFL (B1- 2800 , B2 – 2000, B3 – 1000, B4 – 700 ton Barges) Percentage lightering at BFL Creek was not dredged No Tide restriction 1 meter dredged creek 0.5 dredged creek Cost per ton Opt. Barge Mix (B1, B2, B3, B4) Cost per ton Opt. Barge Mix (B1, B2, B3, B4) Cost  per ton Opt. Barge Mix (B1, B2, B3, B4) Cost  per ton Opt. Barge Mix (B1, B2, B3, B4) 100 225 7,0,0,0 200 6,0,0,0 205 7,0,0,0 208 7,0,0,0 76 207 6,0,2,0 186 5,2,0,0 189 6,1,1,0 195 6,1,1,0 50 198 4,2,1,0 183 4,3,0,0 185 4,3,0,0 186 4,2,1,0 25 181 3,3,2,0 168 3,5,0,0 170 3,5,0,0 172 3,4,1,0 0 170 1,5,3,2 159 0,5,6,0 160 0,5,5,1 162 0,5,6,0
Results from Model with Floating Crane and 100 percent Lightering in fair weather at BFL   (B1 –2800 , B2 – 2000, B3 – 1000, and  B4 – 700 ton Barges) No. of barges at Ship Creek was not dredged No tide restriction 1 meter dredged creek 0.5 meter dredged creek Cost per ton Opt. Brage mix (B1,B2,B3,B4) Cost per ton Opt. Brage mix (B1,B2,B3,B4) Cost per ton Opt. Brage mix (B1,B2,B3,B4) Cost  per ton Opt. Brage mix (B1,B2,B3,B4) Option I Only 2800 ton  and 2000t ton Barges are allowed to BFL for Lightering and HRC loading 1 barge  198 2,5,0,0 179 3,5,0,0 180 3,5,0,0 182 2,5,0,0 2 barges  184 2,6,0,0 172 3,5,0,0 173 3,5,0,0 175 2,6,0,0 Option II Only 2800 ton  Barges are allowed to BFL for Lightering and HRC loading 1 barge  240 7,0,0,0 221 7,0,0,0 223 7,0,0,0 226 7,0,0,0 2 barges  228 7,0,0,0 210 7,0,0,0 212 7,0,0,0 215 7,0,0,0
Results from Model with Floating Crane and Storage Vessel of 1,50,000 ton  Capacity and 100 percent Lightering in fair weather at BFL (B1 – 2800 , B2 – 2000, B3 – 1000 and B4 – 700 ton barges, FC =Fixed charge) Fixed Charge in Rs  Creek was not dredged No tide restriction 1 meter dredged creek 0.5 meter dredged creek Cost  per ton Opt. Brage mix (B1,B2,B3,B4) Cost  per ton Opt. Brage mix (B1,B2,B3,B4) Cost  per ton Opt. Brage mix (B1,B2,B3,B4) Cost  per ton Opt. Brage mix (B1,B2,B3,B4) Option I Only 2800 ton  and 2000 ton Barges are allowed to BFL for Lightering and HRC loading FC at  Rs 200 213 2,5,0,0 199 3,5,0,0 202 3,5,0,0 209 3,5,0,0 FC at  Rs 100 190 2,5,0,0 175 3,5,0,0 177 3,5,0,0 182 2,6,0,0 Option I Only 2800 ton  Barges are allowed to BFL for Lightering and HRC loading FC at  Rs 200 260 7,0,0,0 240 7,0,0,0 245 7,0,0,0 249 7,0,0,0 FC at  Rs 100 237 7,0,0,0 220 7,0,0,0 224 7,0,0,0 229 7,0,0,0
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object]

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Logistics management_Jagathy

  • 1. Logistics Management Dr. Jagathy Raj V. P. Associate Professor School of Management Studies Cochin University of Science and Technology Kochi - 22
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  • 17. Independent Business Function Manufacturing Sales Distribution Procurement Inventory Control Out Come Aggressive preaching Skill Objective Maximization of Profit by Sales volume
  • 18. Limited Integrated Business Manufacturing Management Physical Distribution and Sales Managemt Material Management Output Price – based competition Objective Cost Control
  • 19. Internal Integrated Business Function (Logistics Management Manufacturing Management Marketing and Distribution Management Material Management OUTPUT Increased Productivity. Profitability and Market Shares Objective Maximization of profitable Sales Values and Cost Reduction
  • 20. External Integrated Business Function (SCM) C U S T M E R S L O G I S T I C S V E N D E R S Output Customer Values and Harmonics Relations Relationships Objective Core Competency
  • 21.
  • 22.
  • 23.
  • 24. A Process view of Logistics Management
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  • 27. Visual Representation of Integrated Logistics Management
  • 28.
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  • 37. The Value Chain (Porter[1985])
  • 38.
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  • 44.
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  • 46. Gaining Competitive Advantage through Logistics
  • 47. Important Logistics Activities and Their Relations to Key Business Goals Logistics has been recognized not only as a group of important functions, but as functions that have important strategic impacts as well
  • 48.
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  • 65.
  • 66.
  • 67.
  • 68. The Major Elements of Logistics Composite Modeling Analysis
  • 69.
  • 70.
  • 71.
  • 72.
  • 73.
  • 74.
  • 75.
  • 76.
  • 77.
  • 78.
  • 79. Area Showing the Plant Site, Waterways and Lightering and HRC loading Points
  • 80.
  • 81.
  • 82.
  • 83.
  • 84.
  • 85.
  • 86.
  • 87.
  • 88.
  • 89.
  • 90. Important Hierarchical Decisions Problems of Inbound Raw Material Logistics Level Nature of Decision Time Horizon Frequency of Revision Problems Models Decision Maker I Strategic Several Years Annual Source selection for raw materials Economic evaluation Top Management Vessel size selection Simulation and economic evaluation Jetty Location Simulation and economic evaluation Dredging of creek Simulation and economic evaluation Barge mix selection Simulation and economic evaluation Middle Management
  • 91.
  • 92.
  • 93.
  • 94.
  • 95.
  • 96. Models used for Raw Material and Finished Goods Logistics System
  • 97. Least Cost Ship Size from each Load Port Optimum ship sizes for different load ports Load Port Ship Size and Cost/ton Goa MBC’s of 2800 T at Rs.135.57/ ton Mangalore MBC’s of 2800 T at Rs.177.43/ton Vizag 30,000 to 35,000 T at Rs.269.35/ton Orissa 30,000 to 35,000 T at Rs.279.39/ton Bahrain 30,000 to 35,000 T at Rs.281.32/ton South Africa 30,000 to 35,000 T at Rs.349.60/ton Brazil 65,000 T at Rs.460.33/ton
  • 98.
  • 99.
  • 100. The ship Lightering Simulation Model
  • 101.
  • 102.
  • 103.
  • 104.
  • 105.
  • 106.
  • 107. The Results of Experiments on Barge Mix Optimization Model for Lightering and HRC loading Operations with Various Options B1 –2800, B2 – 2000, B3 – 1000, and B4 – 700 ton Barges Option Model Barges engaged for export Barges with back-to-back integration Optimum Barge mix of B1,B2,B3,B4 Maximum Tons per Annum Average cost per ton (Rs/ton) Feasibility (Yes/No) B1 B2 B1 B2 B1 B2 B3 B4 Without back-to-back supply II 2 0 0 0 3 4 2 2 4496012 217.32 Yes IV 2 2 0 0 4 4 3 4 3684012 245.53 No With back-to-back supply V All 0 All 0 2 4 2 2 4692012 192.11 Yes VI 2 0 2 0 2 4 2 2 4692012 192.11 Yes *VII All All All All 2 2 5 5 213012 605.47 No VIII 2 2 2 2 2 6 3 4 5542412 161.18 Yes * Infeasible
  • 108. Sensitivity Analysis Lighterage and HRC Loading Cost/ton when using Various Combination of 2800 and 2000 ton Barges (B1 –2800, B2 – 2000, B3 – 1000, and B4 – 700 ton Barges) Barges with back-to-back integrated Optimum Barge mix Tons per Annum Average cost Rs/ton B1 B2 B1 B2 B3 B4 2 2 2 5 4 2 5542412 161.18 2 3 2 6 3 4 5651212 161.52 3 2 3 6 2 4 5719212 163.32 3 3 3 6 6 4 5726012 167.60 3 4 3 5 2 4 5427212 177.91 2 4 3 5 4 4 5623212 166.99 2 5 2 6 3 3 5328812 174.81 4 4 5 5 5 2 5747612 173.35
  • 109.
  • 110. Results from Model with two barges each of 2800 ton and 2000 ton in export and import circuit. B1-2800 ton Barge,B2-2000 ton Barge,B3-1000 ton Barge,B4-700 ton Barge. Cost/per ton means average raw material Lightering and HRC loading cost per ton) Barges Fair Weather Monsoon Weather Annual B1 B2 B3 B4 Ton/Mth Cost/ton Ton/Mth Cost/ton Ton/year Cost/ton 2 5 4 2 505901 167.03 373801 149.49 5542412 161.18 2 5 5 4 506101 168.08 373801 150.94 5544012 162.37 3 6 2 4 530101 165.29 372901 158.81 5732412 163.13 2 5 6 4 509451 168.55 372801 152.60 5566812 163.23 3 6 2 3 528801 165.53 372901 158.81 5722012 163.29 2 5 6 3 506801 169.02 372801 152.60 5545612 163.55 3 4 4 2 506001 170.45 373901 154.13 5543612 165.01
  • 111. The results from experiments of barge-lightering model with various options (B1 –2800t, B2 – 2000t, B3 – 1000t, and B4 – 700t Barges , Values in ‘( )’ gives the Monsoon weather value) OPTION Opt. Barge mix B1,B2,B3,B4 Fair-weather ton (Monsoon tons) Tons per Annum Average cost per ton Rs/ton B1 B2 B3 B4 All 2800 t Export and Import 2 4 2 2 398251 (376501) 4692012 192.11 2 nos. 2800 t Export 3 4 2 2 396751 (330501) 4496012 217.32 TWO 2800 t Export and Import 2 4 2 2 398251 (376501) 4692012 192.11 All 2800 t and 2000 t Export and Import 2 2 5 5 112501 (210001) 1740012 Cost very high at Rs 605.47 Ton 2 nos. 2800 t and 2 nos. 2000 t Export 4 4 3 4 329201 (262601) 3684012 245.53 2 nos. 2800 t and 2 nos. 2000 t Export and Import 2 6 3 4 505901 (373801)) 5542412 161.18
  • 112. Effect of Locating the Plant Jetty at Different Distances from the Sea B1-2800T Barge,B2-2000T Barge,B3-1000T Barge,B4-700T Barge Sl. No. Distance of Jetty from the Sea (in KM) Best Barge Mix Lighterage Cost in Rupees/Ton B1 B2 B3 B4 1 5 KM 5 4 0 0 102.23 2 10 KM 4 5 1 0 124.51 3 15 KM 4 5 1 0 126.87 4 20 KM 3 6 2 1 162.59 5 25 KM 3 4 4 2 185.64 6 30 KM 3 3 5 6 225.32
  • 113.
  • 114.
  • 115. Effect of Dredging the Creek on Lighterage Cost (B1 –2800t, B2 – 2000t, B3 – 1000t, and B4 – 700t Barges) Depth of Dredging in M. Opt. Barge mix B1,B2,B3,B4 Fair-weather ton (Monsoon tons) Tons per Annum Average cost per ton Rs/ton 0 2,5,4,2 505901 (373801) 5542412 161.18 0.5 3,6,3,2 512810 (376901) 5610012 157.94 1.0 3,3,4,2 527201 (377901) 5718012 157.52 1.5 2,3,4,6 529651 (378901) 5764122 157.33 2.0 3,3,2,6 530451 (379301) 5781212 157.24
  • 116.
  • 117. The Monthly Ship Scheduling Model This is the plan for hiring ships for a month Load port Laycan Report Report at Load port At Bombay Leave Bombay Bahrain 20.4.07 - 30.4.07 25.4.07 02.5.07 04.5.07 Vizag 24.4.07 - 04.5.07 29.4.07 07.5.07 10.5.07 Mangalore 02.5.07 - 12.5.07 07.5.07 11.5.07 14.5.07 Vizag 02.5.07 - 12.5.07 07.5.07 15.5.07 17.5.07 Paradeep 06.5.07 - 16.5 07 11.5.07 20.5.07 23.5.07 S. Africa 03.5.07 - 13.5.07 08.5.07 24.5.07 28.5.07 Vizag 16.5.07 - 26.5.07 21.5.07 29.5.07 01.6.07
  • 118. Daily Barge Scheduling Model The schedule for a Barge by the name : Mastya Rani Date Time Activity Ship Name 11.5.07 10.57 Start loading barge Sagar Kanya 11.5.07 14.27 End of loading Sagar Kanya 11.5.07 16.57 Full barge reaches gull Sagar Kanya 11.5.07 19.44 Start through creek loaded Sagar Kanya 11.5.07 21.49 Reach the jetty loaded Sagar Kanya 11.5.07 21.49 Start unloading at brth1 Sagar Kanya 12.5.07 01.09 End unloading at brth1 Sagar Kanya 12.5.07 01.29 Start loading HRC at brth3 Krishna Sagar 12.5.07 03.29 End of loading at brth3 Krishna Sagar 12.5.07 07.29 Start through creek to gull Krishna Sagar 12.5.07 09.34 Reach gull Krishna Sagar 12.5.07 11.59 Reach export ship Krishna Sagar
  • 119. Results from Model where only 2800 ton and 2000 ton Barges are allowed to BFL (B1 –2800, B2 – 2000, B3 – 1000, and B4 – 700 ton Barges ) Percentage Lightering at BFL Creek was not Dredged No Tide restriction 1 meter dredged creek 0.5 m dredged creek Cost per ton Opt. Barge Mix (B1,B2.B3,B4) Cost per ton Opt. Barge Mix (B1,B2.B3,B4) Cost per ton Opt. Barge Mix (B1,B2.B3,B4) Cost per ton Opt .Barge Mix (B1,B2.B3,B4) 100 186 2,6,0,0 171 2,5,0,0 173 2,5,0,0 176 2,5,0,0 75 169 2,5,2,0 156 1,5,4,0 157 1,6,4,0 158 1,6,3,0 50 156 2,5,2,0 143 0,6,4,1 144 1,5,4,0 145 1,6,3,0 25 163 2,5,3,0 150 0,5,5,0 152 1,6,4,0 154 1,6,3,1 0 170 1,5,3,2 159 0,5,6,0 160 0,5,5,1 162 0,5,6,0
  • 120. Results from Model where only 2800 ton Barges are allowed to BFL (B1- 2800 , B2 – 2000, B3 – 1000, B4 – 700 ton Barges) Percentage lightering at BFL Creek was not dredged No Tide restriction 1 meter dredged creek 0.5 dredged creek Cost per ton Opt. Barge Mix (B1, B2, B3, B4) Cost per ton Opt. Barge Mix (B1, B2, B3, B4) Cost per ton Opt. Barge Mix (B1, B2, B3, B4) Cost per ton Opt. Barge Mix (B1, B2, B3, B4) 100 225 7,0,0,0 200 6,0,0,0 205 7,0,0,0 208 7,0,0,0 76 207 6,0,2,0 186 5,2,0,0 189 6,1,1,0 195 6,1,1,0 50 198 4,2,1,0 183 4,3,0,0 185 4,3,0,0 186 4,2,1,0 25 181 3,3,2,0 168 3,5,0,0 170 3,5,0,0 172 3,4,1,0 0 170 1,5,3,2 159 0,5,6,0 160 0,5,5,1 162 0,5,6,0
  • 121. Results from Model with Floating Crane and 100 percent Lightering in fair weather at BFL (B1 –2800 , B2 – 2000, B3 – 1000, and B4 – 700 ton Barges) No. of barges at Ship Creek was not dredged No tide restriction 1 meter dredged creek 0.5 meter dredged creek Cost per ton Opt. Brage mix (B1,B2,B3,B4) Cost per ton Opt. Brage mix (B1,B2,B3,B4) Cost per ton Opt. Brage mix (B1,B2,B3,B4) Cost per ton Opt. Brage mix (B1,B2,B3,B4) Option I Only 2800 ton and 2000t ton Barges are allowed to BFL for Lightering and HRC loading 1 barge 198 2,5,0,0 179 3,5,0,0 180 3,5,0,0 182 2,5,0,0 2 barges 184 2,6,0,0 172 3,5,0,0 173 3,5,0,0 175 2,6,0,0 Option II Only 2800 ton Barges are allowed to BFL for Lightering and HRC loading 1 barge 240 7,0,0,0 221 7,0,0,0 223 7,0,0,0 226 7,0,0,0 2 barges 228 7,0,0,0 210 7,0,0,0 212 7,0,0,0 215 7,0,0,0
  • 122. Results from Model with Floating Crane and Storage Vessel of 1,50,000 ton Capacity and 100 percent Lightering in fair weather at BFL (B1 – 2800 , B2 – 2000, B3 – 1000 and B4 – 700 ton barges, FC =Fixed charge) Fixed Charge in Rs Creek was not dredged No tide restriction 1 meter dredged creek 0.5 meter dredged creek Cost per ton Opt. Brage mix (B1,B2,B3,B4) Cost per ton Opt. Brage mix (B1,B2,B3,B4) Cost per ton Opt. Brage mix (B1,B2,B3,B4) Cost per ton Opt. Brage mix (B1,B2,B3,B4) Option I Only 2800 ton and 2000 ton Barges are allowed to BFL for Lightering and HRC loading FC at Rs 200 213 2,5,0,0 199 3,5,0,0 202 3,5,0,0 209 3,5,0,0 FC at Rs 100 190 2,5,0,0 175 3,5,0,0 177 3,5,0,0 182 2,6,0,0 Option I Only 2800 ton Barges are allowed to BFL for Lightering and HRC loading FC at Rs 200 260 7,0,0,0 240 7,0,0,0 245 7,0,0,0 249 7,0,0,0 FC at Rs 100 237 7,0,0,0 220 7,0,0,0 224 7,0,0,0 229 7,0,0,0
  • 123.
  • 124.