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OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN
AUTOMOBILE INDUSTRY-A CASE STUDYAT TAFE
Guided By
Dr. PL.K Palaniappan
Associate Professor
Dept of Mech Engg
Thiagarajar College of Engg
Madurai
By
S.Anif Antony Amalan(13L02)
ME Industrial Engg
Dept of Mech Engg
Thiagarajar College of Engg
Madurai
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
1
L41 – PROJECT PHASE - II
Guided By
Mr. Rajagopal
Senior Engineer
Internal Logistics Dept
TAFE
Madurai
CONTENT
 About TAFE
 Logistics
 Logistics Process
 Literature Review
 Problem Descriptions
 Objective
 Methodology flow chart
 Model Formulation
 Discussion for Proposed Work
 Conclusion
 Reference
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A
CASE STUDY AT TAFE
2
ABOUT -TAFE
 Third Largest tractor manufacture in the world
 Second Largest in India by volumes
 Sale of approximately 1,50,000 tractors annually
 Certified ISO 9001 and ISO 14001
 Part of Amalgamation Group
CURRENT OPERATION CAPACITY AT
MADURAI PLANT
Current operations 200 Tractors per day (2 Shift)
Capacity available 230 Tractors per Day (2 Shift)
Assembly 2 Shift
Paint Shop 2 Shift
Machine Shop 3 Shift
Production 4 Mins / Tractors
Product Range 25 HP – 100 HP
National 17 models / 45 Variants
Export 55 Models / 275 Variants
Components 9932
Persons 1200
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
3
8 February 2016 4
The process of planning, implementing, and controlling the effective and
efficient flow of goods and services from the point of origin to the point of
consumption.
LOGISTICS
INTERNAL LOGISTICS
It manages, arranges, plans and delivers the materials to the assembly station.
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
Literature Review
Journal Title Authors Content Tool Used
International
Journal of
Production
Economics,
Vol 103,
2006,
pp826–840.
Carrier-mode
logistics
optimization of
inbound supply
chains for
electronics
manufacturing
Jeffery K.
Cochran, Balaji
Ramanujam
• Using third party logistics (3PL) provider transportation,
storage facilities, and services is becoming standard practice.
• Choosing among 3PL providers and carrier mode options is a
complex task and the choice has significant impact on the
bottom line cost of the end product.
• Integer Programming
• LINGO
• BD Heuristic
Journal Of
Industrial
And
Management
Optimization
Volume 3,
Number 1,
Logistics
network design
with supplier
Consolidation
hubs and
multiple
shipment
options
Michelle F,
Cheong rohit
bhatnagar and
stephen . Graves
• Consolidate the transportation flow, so as to get the best
overall logistics performance.
• Network design problem to implement this tactic, namely
deciding the number, location and operation of consolidation
hubs so as to minimize the total logistics costs for the
network.
• Consolidated Hub
for Supplier to 3PL
• Linear
Programming
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
5
PUBLICATION AUTHOR TITLE DESCRIPTION KEY TOOLS
European Journal
of Operational
Research
Hu Qin, Zizhen
Zhang , Zhuxuan
Qi , Andrew Lim
The freight
consolidation and
containerization
problem
An express company, such as UPS and FedEx,
unloads the shipments from the containers at the
destination
ports and distributes them to their corresponding
stores or retailers by parcel delivery.
The objective is to find an allocation that
minimizes the total container transportation and
parcel delivery
costs.
• Packing
• Freight consolidation
• Containerization
• Third-party logistics
CIRP Journal of
Manufacturing
Science and
Technology 4,
2011, pp 252–257
M. Florian a,b, J.
Kemper c, W.
Sihn a,b, B.
Hellingrath
Concept of transport-
oriented scheduling for
reduction of inbound
logistics traffic in the
automotive industries
high amount of transport traffic in inbound
logistics, small changes lead to substantial
savings in CO2 emissions
• Logistics
• Planning
• Scheduling
• Production
Proceedings of the
World Congress
on Engineering
2013 Vol I,
WCE 2013,
London.
Daniela L.
Antunes,
Sérgio D. Sousa
Using Project Six
Sigma and Lean
Concepts in Internal
Logistics
To reduce non added value activities and improve
intrinsic processes in the supply chain of an
organization
Six Sigma methodology in combination with Lean
concepts presents a high potential to be applied in
improving internal logistics (IL) processes.
• Continuous
Improvement
• Lean Logistics
• Quality Tools
• Six Sigma
• Supply Chain
Management.
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
6
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
7
o Integrated warehouse site selection and space determination minimizes the outbound
logistics cost.
o Automated layout design program (ALDEP) are widely used for facility layout problem.
o Choice of Packaging pallets for transport will lead to cost optimization.
o Centralized warehouse for inbound logistics is not in practice in Indian Automobile
Manufacturing Sector.
Literature Summary
Raw material
procurement
Process
Suppliers Packaging Labeling
Loading the material to
truck at supplier end
Truck moved to
warehouse
Materials unloaded from
the truck at W/H
Materials are stored by
Part Number wise
Order received by 3PL
and Suppliers
Invoice are prepared Materials are loaded to
truck for the order qty
Truck moved to factory
Unloading the materials
from the truck
Truck Moved to Unloading
Point
Verification of Part
Numbers and Quantity
Binning
Materials Moved to
Storage Point
3PL
Activities
Suppliers Logistics Activities
Factory
Logistics
Activities
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A
CASE STUDY AT TAFE
8
PROBLEMS IN INBOUND LOGISTICS
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
9
75%
25%
Inbound Logistic Cost
Transportation
Warehouse
operation
3PL's
Total Logistic Cost (Rs) Materials from
Warehouse
(in tons)
Total Cost Spent for
Warehouse Annually
(in lakhs)Transports Warehouse Total
1 1.31 0.43 1.75 10500 45.94
2 1.54 0.51 2.06 9600 49.44
3 1.42 0.47 1.9 8400 39.90
4 1.68 0.56 2.25 10800 60.75
5 1.53 0.51 2.05 9000 46.12
Total 7.50 2.50 10.01 48300 242.15
TOTAL INBOUND LOGISTIC COST
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
10
45%
25%
10%
20%
Mode of Raw Material Receiving
Percentage
Milk Run
Line Haul
Delivery
Full Load Truck
Supliers
Transport
OBJECTIVE
 To optimize inbound logistic cost by introducing
centralized warehouse.
 To select optimum carrier for an order quantity using
packaging heuristics.
 To develop Bar Code Technology in centralized
warehouse to minimize human errors.
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A
CASE STUDY AT TAFE
11
Existing Decentralized Warehouse of
inbound logistics
Proposed Centralized Warehouse of
inbound logistics
2
1
3
4
n
Suppliers Centralized
Warehouse
Manufacturing
Plant
P
n
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
12
2
1
3
4
Suppliers 3PL
Warehouses
Manufacturing
Plant
1
P
n
m
2
METHODOLOGY
FLOW CHART
Literature Survey
Optimum Warehouse location
Rectilinear
Location Model
Gravity Location
Model
Minimax Location
Model
Optimum Warehouse layout Model
CORELAP
ALDEP
Cost Estimation for New
Centralized Warehouse
Transportation Model for
Warehouse to Plant
Develop Packing
Heuristics
Total Inbound logistic warehouse cost
be optimized
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A
CASE STUDY AT TAFE
13
WAREHOUSE LOCATION
1. Rectilinear location Method
2. Minimax Location Method
3. Center of Gravity Location Method
The optimum location warehouse is consider by rectilinear distance method
of (X*, Y*) = (10.13*, 77.92*) as a distance of 2 kilometer from the plant.
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
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Input Data of Automated Layout Planning Design Program (ALDEP)
S.NO NOTATIONS DEPARTMENTS AREA
(sq ft)
No of
UNITS
1 A Receiving end 4000 8
2 B Shipping end 3000 6
3 C Storage area 10000 20
4 D Office 1000 2
5 E Material Handling Equipment (MHE) Parking 500 1
6 F Truck waiting area 6000 12
7 B Common Place 500 1
TOTAL 25000 50
NOTATIONS RATING CLOSSNESS
VALUE
A Absolutely necessary 64
E Especially important 16
I Important 4
O Ordinary closeness OK 1
U Unimportant 0
X Not desirable -1024
FROM
1 -
2 U -
3 A A -
4 I I E -
5 O O O U -
6 E E U O U -
7 U O O I U O -
TO 1 2 3 4 5 6 7
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
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TRUCK
WAITING
AREA
RECEIVING END
STORAGE AREA
SHIPPING END
OFFICE
COMMON
MHE
PARKING
RESULTS OF ALDEP
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
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Iterations Closseness Values Score
Double Sweep
Score
1 A+A+U+E+U+O+O+I+O+I 155 310
2 A+A+O+E+U+O+U+O+I+O 152 304
3 A+E+E+E+U+O+I+I+U+O 122 244
4 E+A+U+E+U+E+O+O+O 115 230
5 U+O+E+A+U+E+E+O 114 228
6 E+U+A+A+E+O+I+O+U+O 167 334
7 I+O+E+A+U+E+E+O 118 236
Transportation Cost
components 3PL1 3PL2 3PL3 3PL4 3PL5
Driver salary
(300*12*25*4) 360000 360000 360000 360000 360000
Wages (50*12*25*4) 60000 60000 60000 60000 60000
Cleaner (50*12*25*4) 60000 60000 60000 60000 60000
truck depreciation
(10%)(4*1000000) 400000 400000 400000 400000 400000
insurance & tax
(10%)(4*1000000) 400000 400000 400000 400000 400000
Fuel
(25*12*2*6.875*4*4) 132000 330000 528000 792000 858000
Oil (10*250*4*4) 40000 40000 40000 40000 40000
Tyre (4*2*10000) 80000 80000 80000 80000 80000
Repair (4*10000) 40000 40000 40000 40000 40000
Maintenance (4*10000) 40000 40000 40000 40000 40000
Total 1612000 1810000 2008000 2272000 2338000
Warehouse Cost Components 3PL1 3PL2 3PL3 3PL4 3PL5
Loadman(400*8*12*25) 960000 960000 960000 960000 960000
Security (400*2*365) 292000 292000 292000 292000 292000
Handling Equipment Maintenance
(2000*2*12) 48000 48000 48000 48000 48000
Warehouse Rent(65000*12) 780000 780000 780000 780000 780000
Warehouse Taxes & Insurance 10000 10000 10000 10000 10000
Warehouse Building Maintenance 10000 10000 10000 10000 10000
Warehouse Electricity (2500*6) 15000 15000 15000 15000 15000
A. Manager Salaries (25000*12*1) 300000 300000 300000 300000 300000
B. Supervisary Salaries(17500*12*2) 420000 420000 420000 420000 420000
Toal Warehouse Cost 2835000 2835000 2835000 2835000 2835000
Existing Decentralized Recurring warehouse Cost
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
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Cost Model
Warehouse
( in Lakhs)
Transportation
( in Lakhs)
Total Cost
( in Lakhs)
Total Tons
Handled
Existing Decentralized
Warehouse
141.8 100.4 242.15 48300
Labour
unloading Point(400*8*12*25) 960000
Loading Point(400*8*12*25) 960000
Storage (350*6*12*25) 630000
MHE Driver(350*6*12*25) 630000
Security(400*4*365) 584000
Building 200000
Racks 50000
Wooden Pallets 10000
Steel Pallet 50000
MHE 144000
Computer & Softwares 20000
Xerox machine 20000
Bar code System 10000
Electricity(10000*6) 60000
Taxes & Insurance 1907344
Chief Manager/Executive
(2*25000) 50000
Manager/ Supervisary
Salary(5*20000) 125000
Total Warehouse Cost 6410344
Total Material Handled Annually 48300000
Costs involved in transportation
Driver salary(300*12*25*12) 1080000
wages(50*12*25*12) 180000
Cleaner(50*12*25*12) 180000
truck depreciation (10%)(12*1000000) 1200000
insurance & tax(10%)(12*1000000) 500000
Fuel(25*12*4*12*6.875*5) 495000
Oil(10*250*12*4) 120000
Tyre(12*2*10000) 240000
Repair(12*10000) 120000
Maintenance(12*10000) 120000
Total 4235000
Cost Model
Warehouse
( in Lakhs)
Transportation
( in Lakhs)
Total Cost
( in Lakhs)
Total Tons
Handled
Proposed New Centralized
Warehouse
64.1 42.35 106.45 48300
New Proposed Centralized warehouse Recurring Cost
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
18
Cost Model
Warehouse
( in Lakhs)
Transportation
( in Lakhs)
Total Cost
( in Lakhs)
Profit
( in Lakhs)
Total Tons
Handled
Existing Decentralized
Warehouse
141.8 100.4 242.15
135.7 48300
Proposed New
Centralized Warehouse
64.1 42.35 106.45
COST COMPARISON
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
19
Sq.ft Cent
Cost
( in Lakhs)
100 130
25000 57.392103 74.6
Length
(m)
Breath
(m)
Height
(m)
Volume
(meter cube)
Cost
Total Cost
( in Lakhs)
Pallets
Heavy Rack Area 2 0.6 1.8 2.16 10000
For Single Rack 23.261 0.8 3.6 66.99168 310146.6667
For 3 Rack 69.783 2.4 10.8 1808.77536 8373960 83.74 216
Light Rack Area 2 0.6 1.8 2.16 5000
For Single Rack 23.261 0.8 3.6 66.99168 155073.3333
For 5 Rack 116.305 4 18 8373.96 19384166.67 193.84 360
Total cost for Rack building 277.58 576
Initial Investment Requirement for Centralized warehouse Cost
Purchasing / Construction Cost in Rs
Land (130000per Cent*57.392103) 7460973
Building(1400per Sq.ft*19000) 26600000
Racks (Volume * Volume per Rate) 27758127
Water / Electricity 1000000
Wooden Pallets (500*1000) 500000
Steel Pallet (5000*200) 1000000
MHE (6*200000) 1200000
Transport (12*8L) 9600000
Computer & Softwares(50000*4) 200000
Bar code System
Printer (18500) 18500
Scanner in MHE (7000*6) 42000
Scanner in Storage Labour(2000*9) 18000
Total 75397600
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
20
Return on Investment for Centralized warehouse Cost Model
Years
Existing
Warehouse Cost
( in Lakhs)
New centralized
warehouse
( in Lakhs)
Profit amount
( in Lakhs)
Total Investment
( in Lakhs)
Return on
Investment
1 242.15 106.45 135.7 753.19 5.6 years
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
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Order received for
centralized warehouse
Determine the order
quantity and volume for
the material
Mtrl vol
< cheap
box
Mtrl vol
< pallets
Mtrl vol
< truck
Determine the
Number of
Pallets needed
Determine the
Number of
cheap box
needed
Determine the
Optimum Truck
No
YesYesYes
No
Packaging Heuristics
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A
CASE STUDY AT TAFE
22
INPUTAND OUTPUT
OF THE C- PROGRAM
 Length of ordered material in meter.
 Breath of ordered material in meter.
 Height of the ordered material in meter.
 Quantity of the material needed in numbers.
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A
CASE STUDY AT TAFE
23
 Choosing right cheap box, right pallets and right truck.
 Number of Cheap Boxes needed for ordered quantity.
 Number of Pallets needed for ordered quantity.
 Choosing right truck for ordered material.
INPUTS OF THE C- PROGRAM
OUTPUTS OF THE C- PROGRAM
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
24
Linear barcodes (2D codes) are usually used in logistics and industry for serial
numbers, product IDs, etc.
130- Supplier code, 99- Transporter Code,
25-Material Code, 4567-Part number
Barcode Components
 Barcode Scanners
 Barcode-based Mobile Computers
 Wireless Scanners
 Pen/Key Based Terminals
 Vehicle Mount Computers
 Barcode Printers
 Barcode Labels & Ribbons
 Barcode Data Collection Software
Bar Code Technology
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
25
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
26
Sl No Report Dec Jan Feb Grand Total
1 Excess of materials 109 119 112 340
2 Shortage of materials 91 118 115 324
3 Wrong Supply of materials 92 114 78 284
4 Damaged materials 15 13 15 43
5 Materials in Wet Condition 1 28 6 35
6 Rusted materials 6 22 2 30
Grand Total 314 414 328 1056
Problems Due to Third Party Logistics Warehouses
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
27
Automated Identification System (Two Dimensional Long Range Imager)
Application scenario: Long
range scanning in sunlight
Use case: Outdoor inventory
Application scenario: Long
range Omni-directional
scanning from a forklift
Use case: Inventory/forklift
application
Application scenario: Short
range 1D and 2D scanning,
long range 1D scanning
Use case:
Picking/serialization
Application scenario: Long
range scanning, limited space
for bar codes
Use case: Picking/forklift
application
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
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In this work, an attempt has been made to introduce centralized warehouse model in TAFE, to minimize inbound
logistics cost. The total inbound logistic cost is optimized by introducing centralized warehouse and choosing optimum
location and layout for the proposed centralized warehouse. Bar Code Technology is developed to minimize the human
error in the centralized warehouse. Transportation packing heuristics is developed for choosing right truck, right pallet
and right cheap box for the right quantity of material in order to optimize transportation cost from warehouse to
manufacturing plant. It is found that the recurring cost of the centralized warehouse model is less than the existing
decentralized warehouse model. The limitations of centralized warehouse is huge investment and the payback period
for the initial investment is found to be 5 years 6 months which is viable.
PROJECT CONCULSION
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
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• Afshin Mehrsai , Hamid-RezaKarimi , Klaus-DieterThoben , BerndScholz-Reiter “Application of learning pallets for real-
time scheduling by the use of radial basis function network”, Neurocomputing, 2013, Vol 101, pp 82–93.
• Aicha Aguezzoul., “The Third Party Logistics Selection: A Review of Literature”, International Logistics and Supply Chain
Congress., Nov 2007, pp8-9.
• Bhanuteja Sainathuni, Pratik J. Parikh, Xinhui Zhang, Nan Kong., “warehouse-inventory-transportation problem for supply
chains”., European Journal of Operational Research., vol 237., pp690–700., 2014.
• Cheong Lee Fong, Michelle, “New Models in Logistics Network Design and Implications for 3PL Companies”., Thesis,
Nanyang Technological University, 2005.
• Hu Qin , Zizhen Zhang , Zhuxuan Qi , Andrew Lim., “ freight consolidation and containerization problem”, European
Journal of Operational Research., 2013.
• Jeffery K. Cochran, Balaji Ramanujam “Carrier-mode logistics optimization of inbound supply chains for electronics
manufacturing”, International Journal of Production Economics, Vol 103, 2006, pp826–840.
REFERENCE
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
30
• Khanittha Arayapan, Piyanut Warunyuwong.,“Logistics Optimization: Application of Optimization Modeling in Inbound
Logistics”, Thesis, Malardalen University Sweden.
• Nils Boysena,, Simon Emdea, Michael Hoeckb, Markus Kaudererc “ Part logistics in the automotive industry Decision
problems, literature review and research agenda” , European Journal of Operational Research 2014, PP 1–14.
• Ozsakalli G, Ozdemir D, Ozcan S, Sarioglu B and Dincer A, “Daily Logistics Planning With Multiple 3PLs: A Case Study in
a Chemical Company” Journal of Applied Research and Technology. Vol. 12, October 2014, pp985‐995.
• Paneerselvam, “Production and Operations Management”, ISBN-13, 2012.
• Scott R. Swensetha, Michael R. Godfrey “Incorporating transportation costs into inventory replenishment decisions”,
International Journal of Production Economics, 2002, vol 77 pp113–130.
• Seyed Davod Hosseini, Mohsen Akbarpour Shirazi, Behrooz KarimiDepartment., “Cross-docking and milk run logistics in a
consolidation network: A hybrid of harmony search and simulated annealing approach” Journal of Manufacturing Systems.,
2014, vol 33, pp567–577.
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
31
Thank you
8 February 2016
OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE
STUDY AT TAFE
32

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Tafe - New Centralized Warehouse

  • 1. OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRY-A CASE STUDYAT TAFE Guided By Dr. PL.K Palaniappan Associate Professor Dept of Mech Engg Thiagarajar College of Engg Madurai By S.Anif Antony Amalan(13L02) ME Industrial Engg Dept of Mech Engg Thiagarajar College of Engg Madurai 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 1 L41 – PROJECT PHASE - II Guided By Mr. Rajagopal Senior Engineer Internal Logistics Dept TAFE Madurai
  • 2. CONTENT  About TAFE  Logistics  Logistics Process  Literature Review  Problem Descriptions  Objective  Methodology flow chart  Model Formulation  Discussion for Proposed Work  Conclusion  Reference 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 2
  • 3. ABOUT -TAFE  Third Largest tractor manufacture in the world  Second Largest in India by volumes  Sale of approximately 1,50,000 tractors annually  Certified ISO 9001 and ISO 14001  Part of Amalgamation Group CURRENT OPERATION CAPACITY AT MADURAI PLANT Current operations 200 Tractors per day (2 Shift) Capacity available 230 Tractors per Day (2 Shift) Assembly 2 Shift Paint Shop 2 Shift Machine Shop 3 Shift Production 4 Mins / Tractors Product Range 25 HP – 100 HP National 17 models / 45 Variants Export 55 Models / 275 Variants Components 9932 Persons 1200 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 3
  • 4. 8 February 2016 4 The process of planning, implementing, and controlling the effective and efficient flow of goods and services from the point of origin to the point of consumption. LOGISTICS INTERNAL LOGISTICS It manages, arranges, plans and delivers the materials to the assembly station. OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE
  • 5. Literature Review Journal Title Authors Content Tool Used International Journal of Production Economics, Vol 103, 2006, pp826–840. Carrier-mode logistics optimization of inbound supply chains for electronics manufacturing Jeffery K. Cochran, Balaji Ramanujam • Using third party logistics (3PL) provider transportation, storage facilities, and services is becoming standard practice. • Choosing among 3PL providers and carrier mode options is a complex task and the choice has significant impact on the bottom line cost of the end product. • Integer Programming • LINGO • BD Heuristic Journal Of Industrial And Management Optimization Volume 3, Number 1, Logistics network design with supplier Consolidation hubs and multiple shipment options Michelle F, Cheong rohit bhatnagar and stephen . Graves • Consolidate the transportation flow, so as to get the best overall logistics performance. • Network design problem to implement this tactic, namely deciding the number, location and operation of consolidation hubs so as to minimize the total logistics costs for the network. • Consolidated Hub for Supplier to 3PL • Linear Programming 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 5
  • 6. PUBLICATION AUTHOR TITLE DESCRIPTION KEY TOOLS European Journal of Operational Research Hu Qin, Zizhen Zhang , Zhuxuan Qi , Andrew Lim The freight consolidation and containerization problem An express company, such as UPS and FedEx, unloads the shipments from the containers at the destination ports and distributes them to their corresponding stores or retailers by parcel delivery. The objective is to find an allocation that minimizes the total container transportation and parcel delivery costs. • Packing • Freight consolidation • Containerization • Third-party logistics CIRP Journal of Manufacturing Science and Technology 4, 2011, pp 252–257 M. Florian a,b, J. Kemper c, W. Sihn a,b, B. Hellingrath Concept of transport- oriented scheduling for reduction of inbound logistics traffic in the automotive industries high amount of transport traffic in inbound logistics, small changes lead to substantial savings in CO2 emissions • Logistics • Planning • Scheduling • Production Proceedings of the World Congress on Engineering 2013 Vol I, WCE 2013, London. Daniela L. Antunes, Sérgio D. Sousa Using Project Six Sigma and Lean Concepts in Internal Logistics To reduce non added value activities and improve intrinsic processes in the supply chain of an organization Six Sigma methodology in combination with Lean concepts presents a high potential to be applied in improving internal logistics (IL) processes. • Continuous Improvement • Lean Logistics • Quality Tools • Six Sigma • Supply Chain Management. 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 6
  • 7. 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 7 o Integrated warehouse site selection and space determination minimizes the outbound logistics cost. o Automated layout design program (ALDEP) are widely used for facility layout problem. o Choice of Packaging pallets for transport will lead to cost optimization. o Centralized warehouse for inbound logistics is not in practice in Indian Automobile Manufacturing Sector. Literature Summary
  • 8. Raw material procurement Process Suppliers Packaging Labeling Loading the material to truck at supplier end Truck moved to warehouse Materials unloaded from the truck at W/H Materials are stored by Part Number wise Order received by 3PL and Suppliers Invoice are prepared Materials are loaded to truck for the order qty Truck moved to factory Unloading the materials from the truck Truck Moved to Unloading Point Verification of Part Numbers and Quantity Binning Materials Moved to Storage Point 3PL Activities Suppliers Logistics Activities Factory Logistics Activities 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 8
  • 9. PROBLEMS IN INBOUND LOGISTICS 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 9
  • 10. 75% 25% Inbound Logistic Cost Transportation Warehouse operation 3PL's Total Logistic Cost (Rs) Materials from Warehouse (in tons) Total Cost Spent for Warehouse Annually (in lakhs)Transports Warehouse Total 1 1.31 0.43 1.75 10500 45.94 2 1.54 0.51 2.06 9600 49.44 3 1.42 0.47 1.9 8400 39.90 4 1.68 0.56 2.25 10800 60.75 5 1.53 0.51 2.05 9000 46.12 Total 7.50 2.50 10.01 48300 242.15 TOTAL INBOUND LOGISTIC COST 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 10 45% 25% 10% 20% Mode of Raw Material Receiving Percentage Milk Run Line Haul Delivery Full Load Truck Supliers Transport
  • 11. OBJECTIVE  To optimize inbound logistic cost by introducing centralized warehouse.  To select optimum carrier for an order quantity using packaging heuristics.  To develop Bar Code Technology in centralized warehouse to minimize human errors. 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 11
  • 12. Existing Decentralized Warehouse of inbound logistics Proposed Centralized Warehouse of inbound logistics 2 1 3 4 n Suppliers Centralized Warehouse Manufacturing Plant P n 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 12 2 1 3 4 Suppliers 3PL Warehouses Manufacturing Plant 1 P n m 2
  • 13. METHODOLOGY FLOW CHART Literature Survey Optimum Warehouse location Rectilinear Location Model Gravity Location Model Minimax Location Model Optimum Warehouse layout Model CORELAP ALDEP Cost Estimation for New Centralized Warehouse Transportation Model for Warehouse to Plant Develop Packing Heuristics Total Inbound logistic warehouse cost be optimized 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 13
  • 14. WAREHOUSE LOCATION 1. Rectilinear location Method 2. Minimax Location Method 3. Center of Gravity Location Method The optimum location warehouse is consider by rectilinear distance method of (X*, Y*) = (10.13*, 77.92*) as a distance of 2 kilometer from the plant. 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 14
  • 15. Input Data of Automated Layout Planning Design Program (ALDEP) S.NO NOTATIONS DEPARTMENTS AREA (sq ft) No of UNITS 1 A Receiving end 4000 8 2 B Shipping end 3000 6 3 C Storage area 10000 20 4 D Office 1000 2 5 E Material Handling Equipment (MHE) Parking 500 1 6 F Truck waiting area 6000 12 7 B Common Place 500 1 TOTAL 25000 50 NOTATIONS RATING CLOSSNESS VALUE A Absolutely necessary 64 E Especially important 16 I Important 4 O Ordinary closeness OK 1 U Unimportant 0 X Not desirable -1024 FROM 1 - 2 U - 3 A A - 4 I I E - 5 O O O U - 6 E E U O U - 7 U O O I U O - TO 1 2 3 4 5 6 7 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 15
  • 16. TRUCK WAITING AREA RECEIVING END STORAGE AREA SHIPPING END OFFICE COMMON MHE PARKING RESULTS OF ALDEP 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 16 Iterations Closseness Values Score Double Sweep Score 1 A+A+U+E+U+O+O+I+O+I 155 310 2 A+A+O+E+U+O+U+O+I+O 152 304 3 A+E+E+E+U+O+I+I+U+O 122 244 4 E+A+U+E+U+E+O+O+O 115 230 5 U+O+E+A+U+E+E+O 114 228 6 E+U+A+A+E+O+I+O+U+O 167 334 7 I+O+E+A+U+E+E+O 118 236
  • 17. Transportation Cost components 3PL1 3PL2 3PL3 3PL4 3PL5 Driver salary (300*12*25*4) 360000 360000 360000 360000 360000 Wages (50*12*25*4) 60000 60000 60000 60000 60000 Cleaner (50*12*25*4) 60000 60000 60000 60000 60000 truck depreciation (10%)(4*1000000) 400000 400000 400000 400000 400000 insurance & tax (10%)(4*1000000) 400000 400000 400000 400000 400000 Fuel (25*12*2*6.875*4*4) 132000 330000 528000 792000 858000 Oil (10*250*4*4) 40000 40000 40000 40000 40000 Tyre (4*2*10000) 80000 80000 80000 80000 80000 Repair (4*10000) 40000 40000 40000 40000 40000 Maintenance (4*10000) 40000 40000 40000 40000 40000 Total 1612000 1810000 2008000 2272000 2338000 Warehouse Cost Components 3PL1 3PL2 3PL3 3PL4 3PL5 Loadman(400*8*12*25) 960000 960000 960000 960000 960000 Security (400*2*365) 292000 292000 292000 292000 292000 Handling Equipment Maintenance (2000*2*12) 48000 48000 48000 48000 48000 Warehouse Rent(65000*12) 780000 780000 780000 780000 780000 Warehouse Taxes & Insurance 10000 10000 10000 10000 10000 Warehouse Building Maintenance 10000 10000 10000 10000 10000 Warehouse Electricity (2500*6) 15000 15000 15000 15000 15000 A. Manager Salaries (25000*12*1) 300000 300000 300000 300000 300000 B. Supervisary Salaries(17500*12*2) 420000 420000 420000 420000 420000 Toal Warehouse Cost 2835000 2835000 2835000 2835000 2835000 Existing Decentralized Recurring warehouse Cost 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 17 Cost Model Warehouse ( in Lakhs) Transportation ( in Lakhs) Total Cost ( in Lakhs) Total Tons Handled Existing Decentralized Warehouse 141.8 100.4 242.15 48300
  • 18. Labour unloading Point(400*8*12*25) 960000 Loading Point(400*8*12*25) 960000 Storage (350*6*12*25) 630000 MHE Driver(350*6*12*25) 630000 Security(400*4*365) 584000 Building 200000 Racks 50000 Wooden Pallets 10000 Steel Pallet 50000 MHE 144000 Computer & Softwares 20000 Xerox machine 20000 Bar code System 10000 Electricity(10000*6) 60000 Taxes & Insurance 1907344 Chief Manager/Executive (2*25000) 50000 Manager/ Supervisary Salary(5*20000) 125000 Total Warehouse Cost 6410344 Total Material Handled Annually 48300000 Costs involved in transportation Driver salary(300*12*25*12) 1080000 wages(50*12*25*12) 180000 Cleaner(50*12*25*12) 180000 truck depreciation (10%)(12*1000000) 1200000 insurance & tax(10%)(12*1000000) 500000 Fuel(25*12*4*12*6.875*5) 495000 Oil(10*250*12*4) 120000 Tyre(12*2*10000) 240000 Repair(12*10000) 120000 Maintenance(12*10000) 120000 Total 4235000 Cost Model Warehouse ( in Lakhs) Transportation ( in Lakhs) Total Cost ( in Lakhs) Total Tons Handled Proposed New Centralized Warehouse 64.1 42.35 106.45 48300 New Proposed Centralized warehouse Recurring Cost 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 18
  • 19. Cost Model Warehouse ( in Lakhs) Transportation ( in Lakhs) Total Cost ( in Lakhs) Profit ( in Lakhs) Total Tons Handled Existing Decentralized Warehouse 141.8 100.4 242.15 135.7 48300 Proposed New Centralized Warehouse 64.1 42.35 106.45 COST COMPARISON 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 19
  • 20. Sq.ft Cent Cost ( in Lakhs) 100 130 25000 57.392103 74.6 Length (m) Breath (m) Height (m) Volume (meter cube) Cost Total Cost ( in Lakhs) Pallets Heavy Rack Area 2 0.6 1.8 2.16 10000 For Single Rack 23.261 0.8 3.6 66.99168 310146.6667 For 3 Rack 69.783 2.4 10.8 1808.77536 8373960 83.74 216 Light Rack Area 2 0.6 1.8 2.16 5000 For Single Rack 23.261 0.8 3.6 66.99168 155073.3333 For 5 Rack 116.305 4 18 8373.96 19384166.67 193.84 360 Total cost for Rack building 277.58 576 Initial Investment Requirement for Centralized warehouse Cost Purchasing / Construction Cost in Rs Land (130000per Cent*57.392103) 7460973 Building(1400per Sq.ft*19000) 26600000 Racks (Volume * Volume per Rate) 27758127 Water / Electricity 1000000 Wooden Pallets (500*1000) 500000 Steel Pallet (5000*200) 1000000 MHE (6*200000) 1200000 Transport (12*8L) 9600000 Computer & Softwares(50000*4) 200000 Bar code System Printer (18500) 18500 Scanner in MHE (7000*6) 42000 Scanner in Storage Labour(2000*9) 18000 Total 75397600 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 20
  • 21. Return on Investment for Centralized warehouse Cost Model Years Existing Warehouse Cost ( in Lakhs) New centralized warehouse ( in Lakhs) Profit amount ( in Lakhs) Total Investment ( in Lakhs) Return on Investment 1 242.15 106.45 135.7 753.19 5.6 years 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 21
  • 22. Order received for centralized warehouse Determine the order quantity and volume for the material Mtrl vol < cheap box Mtrl vol < pallets Mtrl vol < truck Determine the Number of Pallets needed Determine the Number of cheap box needed Determine the Optimum Truck No YesYesYes No Packaging Heuristics 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 22
  • 23. INPUTAND OUTPUT OF THE C- PROGRAM  Length of ordered material in meter.  Breath of ordered material in meter.  Height of the ordered material in meter.  Quantity of the material needed in numbers. 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 23  Choosing right cheap box, right pallets and right truck.  Number of Cheap Boxes needed for ordered quantity.  Number of Pallets needed for ordered quantity.  Choosing right truck for ordered material. INPUTS OF THE C- PROGRAM OUTPUTS OF THE C- PROGRAM
  • 24. 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 24
  • 25. Linear barcodes (2D codes) are usually used in logistics and industry for serial numbers, product IDs, etc. 130- Supplier code, 99- Transporter Code, 25-Material Code, 4567-Part number Barcode Components  Barcode Scanners  Barcode-based Mobile Computers  Wireless Scanners  Pen/Key Based Terminals  Vehicle Mount Computers  Barcode Printers  Barcode Labels & Ribbons  Barcode Data Collection Software Bar Code Technology 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 25
  • 26. 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 26 Sl No Report Dec Jan Feb Grand Total 1 Excess of materials 109 119 112 340 2 Shortage of materials 91 118 115 324 3 Wrong Supply of materials 92 114 78 284 4 Damaged materials 15 13 15 43 5 Materials in Wet Condition 1 28 6 35 6 Rusted materials 6 22 2 30 Grand Total 314 414 328 1056 Problems Due to Third Party Logistics Warehouses
  • 27. 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 27
  • 28. Automated Identification System (Two Dimensional Long Range Imager) Application scenario: Long range scanning in sunlight Use case: Outdoor inventory Application scenario: Long range Omni-directional scanning from a forklift Use case: Inventory/forklift application Application scenario: Short range 1D and 2D scanning, long range 1D scanning Use case: Picking/serialization Application scenario: Long range scanning, limited space for bar codes Use case: Picking/forklift application 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 28
  • 29. In this work, an attempt has been made to introduce centralized warehouse model in TAFE, to minimize inbound logistics cost. The total inbound logistic cost is optimized by introducing centralized warehouse and choosing optimum location and layout for the proposed centralized warehouse. Bar Code Technology is developed to minimize the human error in the centralized warehouse. Transportation packing heuristics is developed for choosing right truck, right pallet and right cheap box for the right quantity of material in order to optimize transportation cost from warehouse to manufacturing plant. It is found that the recurring cost of the centralized warehouse model is less than the existing decentralized warehouse model. The limitations of centralized warehouse is huge investment and the payback period for the initial investment is found to be 5 years 6 months which is viable. PROJECT CONCULSION 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 29
  • 30. • Afshin Mehrsai , Hamid-RezaKarimi , Klaus-DieterThoben , BerndScholz-Reiter “Application of learning pallets for real- time scheduling by the use of radial basis function network”, Neurocomputing, 2013, Vol 101, pp 82–93. • Aicha Aguezzoul., “The Third Party Logistics Selection: A Review of Literature”, International Logistics and Supply Chain Congress., Nov 2007, pp8-9. • Bhanuteja Sainathuni, Pratik J. Parikh, Xinhui Zhang, Nan Kong., “warehouse-inventory-transportation problem for supply chains”., European Journal of Operational Research., vol 237., pp690–700., 2014. • Cheong Lee Fong, Michelle, “New Models in Logistics Network Design and Implications for 3PL Companies”., Thesis, Nanyang Technological University, 2005. • Hu Qin , Zizhen Zhang , Zhuxuan Qi , Andrew Lim., “ freight consolidation and containerization problem”, European Journal of Operational Research., 2013. • Jeffery K. Cochran, Balaji Ramanujam “Carrier-mode logistics optimization of inbound supply chains for electronics manufacturing”, International Journal of Production Economics, Vol 103, 2006, pp826–840. REFERENCE 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 30
  • 31. • Khanittha Arayapan, Piyanut Warunyuwong.,“Logistics Optimization: Application of Optimization Modeling in Inbound Logistics”, Thesis, Malardalen University Sweden. • Nils Boysena,, Simon Emdea, Michael Hoeckb, Markus Kaudererc “ Part logistics in the automotive industry Decision problems, literature review and research agenda” , European Journal of Operational Research 2014, PP 1–14. • Ozsakalli G, Ozdemir D, Ozcan S, Sarioglu B and Dincer A, “Daily Logistics Planning With Multiple 3PLs: A Case Study in a Chemical Company” Journal of Applied Research and Technology. Vol. 12, October 2014, pp985‐995. • Paneerselvam, “Production and Operations Management”, ISBN-13, 2012. • Scott R. Swensetha, Michael R. Godfrey “Incorporating transportation costs into inventory replenishment decisions”, International Journal of Production Economics, 2002, vol 77 pp113–130. • Seyed Davod Hosseini, Mohsen Akbarpour Shirazi, Behrooz KarimiDepartment., “Cross-docking and milk run logistics in a consolidation network: A hybrid of harmony search and simulated annealing approach” Journal of Manufacturing Systems., 2014, vol 33, pp567–577. 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 31
  • 32. Thank you 8 February 2016 OPTIMIZATION OF CARRIER MODE INBOUND LOGISTICS IN AN AUTOMOBILE INDUSTRIES - A CASE STUDY AT TAFE 32