Milliken Lagrange ISYE 6203 PROJECT “Evaluation of Consolidation Strategy for LTL Shipments”

Post on 02-Feb-2016

42 views 0 download

description

Milliken Lagrange ISYE 6203 PROJECT “Evaluation of Consolidation Strategy for LTL Shipments”. Chunhao GAO Halil Ozan GOZBASI Hashai PAPNEJA Jin SHI Lin WAN Jie ZHU. Company Overview. Textile Manufacturing Industry Produces finished fabrics for rugs and carpets - PowerPoint PPT Presentation

transcript

1

Milliken Lagrange ISYE 6203 PROJECT

“Evaluation of Consolidation Strategy for LTL Shipments”

Chunhao GAO

Halil Ozan GOZBASI

Hashai PAPNEJA

Jin SHI

Lin WAN

Jie ZHU

2

Company Overview

Textile Manufacturing Industry Produces finished fabrics for rugs and

carpets Synthetic fabrics used in such goods as

apparel, automobiles, tennis balls, and specialty textiles

Milliken operates more than 60 plants worldwide

3

Project Topic

Evaluation of consolidation option for Less-Than-Truckload (LTL) shipments

Plant in Lagrange,GA Customers, almost every state in USA

4

Less-Than-Truckloadvs. FTL Consolidation

Small shipments Send Directly from Plant

to Customers

LTL

LTL

LTL

LTL

FTL

Customer 1

Customer 2

Plant

DC

5

Solution Approach

Data Analysis Cost Structure

Parcel, LTL, FTL Aggregating Customers

3-Zip Customers (30332, 30345, 30358)-> 303) Reduce Number of Customers

Focus on customers which constitute 90% of the transportation cost

6

Data Analysis- Cost Structure

Cost Structure

15%

72%

13%

0%

10%

20%

30%

40%

50%

60%

70%

80%

Parcel FTL LTL

Shipment Type

Cost

Parcel

FTL

LTL

Consolidation Strategy to decrease LTL costs

7

Data Analysis - Aggregation

Number of 3-Zip Customers: 792

90% Tail : 325

Size reduced by ~60%

8

Mapping the Demand by Total Freight

demand distribution by Total_Freight13.7% to 1 (75)7.1% to 13.7% (64)5.0% to 7.1% (60)3.3% to 5.0% (70)0% to 3.3% (74)

9

Mapping the Demand by Total Trucks

demand distribution by Total_#Trucks3.3 to 19.2 (79)1.7 to 3.3 (68)1 to 1.7 (56)0.6 to 1 (58)0.1 to 0.6 (82)

10

Candidate DC Selection

demand distribution by Total_Freight13.7% to 1 (75)7.1% to 13.7% (64)5.0% to 7.1% (60)3.3% to 5.0% (70)0% to 3.3% (74)

11

Model Building

Parameters DCs candidate ofindex :i

customers zipdigit -3 ofindex :j rate FTL :f ($/mile)

i DC plant to from Distance :id (mile)

jcustomer toi DC from rate LTL :ijl ($)

DC selected aon load minimum :c (truck-load) truckafor factor load :lf

jcustomer toshipments ofamount :jt (truck-load)

daysshipment ofnumber :DAYS frequency shipment on rate service :r

12

Model Building

Decision Variables

otherwise 0

selected is DCith theif 1iY

otherwise 0

i DC toassigned is jcustomer if 1ijX

i DC plant to from needed Trucks ofNumber iZ

13

Objective & Constraints

i j

ijiji

ii lXdfZMinimize

Subject to DC a toassigned iscustomer Each 1 jX

iij

i DC toassigned iscustomer any if 1 bemust Y , ijiYX iij

selected is i DC if i DCby served be illcustomer w 1least At iXYj

iji

loadenough hasit ifonly chosen be tois DCA iYctX ij

jij

Number of trucks needed for shipments consolidated at DC ii ij jj

lf Z X t i

frequencyshipment by i DCat needed trucksofNumber iYrDAYSZ ii

14

Parameter Estimation

CZARLITE LTL Pricing Software Prices from each candidate DC to every 3-digit

customer region which are closer than 700 miles.

For numerical comparability

We have real LTL from Plant to CustomersDiscount_Rate= Real_LTL_Cost / CZARLITE LTL Cost

Update all prices by

LTL(model) Cost= CZARLITE LTL Cost* Discount_Rate

15

Results

Consolidation vs Current Strategy

-9.07%

9.21%

7.74%

-10.00%

-5.00%

0.00%

5.00%

10.00%

15.00%

1 2 3 4 5

Frequency (Shipments / Week)

Cost

Red

uct

ion

Benefits from Consolidation Strategy is Related to Frequency

16

Frequency & Consolidation

Low frequency increases consolidation of loads into each truckLess number of trucks are used in consolidation

0

0.2

0.4

0.6

0.8

1

1.2

Frequency 2 Frequency 3 Frequency 5

Frequency-Costs

FTL LTL

17

Frequency 3:

Shipment Type Region Size

LTL from Plant 59%

DC1 in NC 17%

DC2 in AL 11%

DC3 in CA 12%

Total Assignment to DCs

41%

18

Frequency 3: LTL from Plant

19

Frequency 3: DC1 in NC

20

Frequency 3: DC2 in AL

21

Frequency 3: DC3 in CA

22

Implementation

First Approach: Ship from Plant to DC`s in a pre-agreed

frequency-regardless of the loads Second Approach:

Estimate a Threshold Level for each DC Check accumulated shipments

If total load is greater than Threshold Send a Full Truck to DC

Else LTL to customer from Plant

23

Conclusion & Future Work

Develop implementation techniques Estimation of Threshold Levels

Take more product types into consideration (such as chemicals)

Try to use LTL rates from current carriers instead of Czarlite for a more accurate model solution

Consider other costs related to consolidation DC space cost Material Handling cost

24

Thanks..

Milliken Company Prof. Vande Vate

25

Additional Slides

26

Frequency 2: LTL from Plant

27

Frequency 2: DC1 in NC

28

Frequency 2: DC2 in AL

29

Frequency 1: DC3 in CA