INFORMS 2009: San Diego, USA October 13, 2009. Problems Analysis and Truck Allocation in Sugarcane Transportation to Sugar Mill Case Study: Sugar Mills in the Eastern Thailand. Jirawan Niemsakul Sripatum University Chonburi Campus Chonburi, Thailand, 20000 [email protected]. Content. - PowerPoint PPT Presentation
Jirawan Niemsakul Jirawan Niemsakul Sripatum University Chonburi Campus Sripatum University Chonburi Campus Chonburi, Thailand, 20000 Chonburi, Thailand, 20000 [email protected][email protected]Problems Analysis and Truck Allocation in Problems Analysis and Truck Allocation in Sugarcane Transportation to Sugar Mill Sugarcane Transportation to Sugar Mill Case Study: Sugar Mills in the Eastern Case Study: Sugar Mills in the Eastern Thailand Thailand INFORMS 2009: San Diego, USA October 13, 2009
Transcript
Jirawan NiemsakulJirawan Niemsakul
Sripatum University Chonburi CampusSripatum University Chonburi Campus
Problems Analysis and Truck Allocation in Problems Analysis and Truck Allocation in Sugarcane Transportation to Sugar MillSugarcane Transportation to Sugar Mill
Case Study: Sugar Mills in the Eastern ThailandCase Study: Sugar Mills in the Eastern Thailand
INFORMS 2009: San Diego, USAOctober 13, 2009
ContentContent
Introduction
Description of problems
Transportation strategies
A mathematical model
A case study of a sugar mill
IntroductionIntroduction
Eastern Thailand produced sugarcane about 4,641,118.54
tons in 2007/08
The major income of Thailand is from agriculture
Thailand exported sugar more 1,000 millions dollars and produced sugarcane
67,197,817 tons
Raw material (cane)
Quota area
Owned by farmer
Transportation(Truck)
Queuing system
Inbounds logisticsInbounds logistics
Extended area
Owned by mill
Rented truck
FIFO
Locked queue
FIFO+Locked dump
(fresh cane)
FIFO+Locked dump (extended area)
Description of ProblemsDescription of Problems
Description of ProblemsDescription of Problems
1
2
3
Amount (Ton)
Time (Month) Dec. Jan. Feb. Mar. Apr. May
18,000
Mill Capacity
Supply over demand
Supply less than demand
Transportation strategies
Database management Transport center Planting Clustering Truck allocation Truck energy system Routing Technology
Mathematical Model
Decision Variables
Xijk = Sugarcane supply delivered by owned truck i of area j, period k
Ymjk = Sugarcane supply delivered by rental truck m of area j, period k
TXijk = Number of transportation times of owned truck i of area j, period k
TYmjk = Number of transportation times of rental truck i of area j, period k
Mathematical Model
Objective Function
Minimize total transportation cost
Fuel cost Driver cost Transport service cost Maintenance cost Losing cost
Mathematical Model
I
i
J
j
K
kijkijk XC
1 1 1
I
i
J
j
K
kijkij XD
1 1 1
M
m
J
j
K
kmjkmjkYW
1 1 1
I
i
J
j
K
kijkij XM
1 1 1
M
m
J
j
K
kmjkmjk
I
i
J
j
K
kijkijk YLRXLO
Fuel cost
Driver cost
Transport service cost
Maintenance cost
Losing cost
Mathematical Model
Constraints
Mill capacity Sugarcane supply Quota contract of truck The used priority weight of truck using Limited transportation times of truck per period Balancing between transportation times and sugarcane supply per period
A Case Study of Sugar Mill
Sugarcane truck allocation for 2 areas in 60 periods
(baht) Current System Proposed
Fuel cost 5,047,246 6,438,322
Driver cost 3,564,000 7,128,000
Transport service cost 2,904,000 1,770,000
Maintenance cost 6,334,416 6,334,416
Loosing cost 25,024,680 18,784,420
Total 42,874,342 40,455,160
Total transportation cost can be decreased 5.64%
A Case Study of Sugar Mill
Area Current System Proposed
Owned truck Rental truck Owned truck Rental truck
1 148 16 (all) 148 16 (some periods)
2 50 6 50 0
Number of trucks in queuing system can be decreased 2.73%
