BI MODELFOR
MOVERS AND SHAKERS(TRANSPORT AND LOGISTIC COMPANY)
By09BM8020 Col Gurtej Gill
09BM8056 Maj Tushar Chaudhary
Transport and Logistics Industry
• Has not achieved much attention or recog. • It is an area that is ripe with huge potential.• Yet the resources are far from complete
utilization. • There is however a huge demand for logistic
services with the growth of the economy. • Estimated at a value of $14 billion US dollars.• Slated for 9% to 10% growth in the industry for
many years to come.
BENEFITS OF BI IN TRANSPORT AND LOGISTICS
• Transportation planning and its management. Deploy own fleet or negotiate with one or more third party. Deployment of equipment, manpower and resources.
• Inbound and outbound traffic control.• Route optimization, delivery using multiple modes of transport and
payment services.• Carrier Performance Evaluation: The performance of own and third
party carrier companies can be analyzed on various factors like on-time delivery, cost, adherence to supplier’s standards, etc. This analysis can be used for selecting the best carriers.
• Fuelling optimisation on routes. • Mode-Cost Analysis: The costs associated with various modes of
transport and the corresponding vehicles employed can be analyzed. Help in selecting cost effective modes and third party carriers.
• Supplier Compliance Analysis: Often the suppliers do not ship products on time resulting in delays beyond the control of transporters. Supplier compliance can be analyzed over a period of time, across different loading points.
• Capacity Planning: Can significantly help in analyzing available capacity, loss of revenue due to shortfall in capacity, and future capacity increments. It can also help in short term capacity planning like engaging empty carriers returning after delivery, thereby reducing ‘empty miles’
• Cycle Time Analysis: – time gap between placement of order and the actual receipt of shipment. BI tools can help critically analyze the entire cycle-time for different combinations of goods, routes, modes, weather conditions,etc.
• Routing and Scheduling: Help in routing and scheduling by presenting an updated view of capacity and manpower available at any point in time.
• Truck and Driver Performance Analysis: Monitor the performance of drivers, trucks, and other vehicles over a period of time. This can help in maintaining the vehicles and improving driver performance.
BENEFITS OF BI IN TRANSPORT AND LOGISTICS (Contd)
DATA WAREHOUSING
• The data warehouse makes an Org’s info easily accessible.
• Serves as the foundation for improved decision making
• Present the org’s info consistently• Must be adaptive and resilient to change• Business community must accept the data
warehouse if it is to be deemed successful
FOUR STEP DIMENSIONAL MODELLING
• Select the business process to model.• Declare the grain of the business process. Means
specifying exactly what an individual fact table row represents.
• Choose the dimensions that apply to each fact table row.
• Identify the numeric facts that will populate each fact table row.
MISSION OF THE COMPANY
• To get products delivered from one place to another on time, efficiently, and at the lowest cost possible.
BUSINESS MODEL OF THE COMPANY
• Logistic solution provider• Packing and moving within the country• From small packages like mail and docu to container size
loads• Has a nationwide presence in 30 locations which act as
sorting and warehousing stations (DCs)• Pick up and delivery from consumer’s specified location • Consumers can del at the booking cum delivery offices
which are at all towns and cities at 355 locations, some owned and some operate on commission basis.
• Has a web site and books orders through that
BUSINESS MODEL (CONTD)• Has a fleet of own trucks to transport bigger loads. Also
engage third party for additional reqmts. • Smaller loads packages and mails of express nature routed
through tie up with an airline for long dist and has smaller faster mini trucks for local and small distances.
• Trucks carry fuel cards to get fuel and lubricants from fuel stations and the data is received in the company as and when it occurs.
• Has computerized booking, dispatch and delivery record system
• All trucks carry GPS location eqpipment enabling the Company to track its location
KEY PERFORMANCE INDICATORS• At Booking + Delivery Offices
– No of consignment booking orders– No of consignment deliveries done– Size of the orders
• Weight• Value of order• Distance booked• Repeat orders/ multiple recurring order
• At the DCs– Cost per ton Km consignment moved– Employees per truck– Employees per ton Km– Trucks per ton Km – No of consignments handled– Area (Size) per ton Km load handled
• Operational Performance– Cost per ton from from booking to delivery– Revenue per ton – Total customers served– Total consignments handled– Satisfaction level of customers served
• Step 1- Selecting the business process Customer consignment booking.
• Step 2 - Choosing the grain.Customer booking his consignment at the booking offices
Booking Date (FK)Pick up Date (FK)Consignment (FK)Booking Office (FK)Consignor (FK)Consignee (FK)Origin (FK)Destination (FK)Revenue Rs
Consignment booking FactBooking Date Dimension
Consignment Dimension
Consignee Dimension
Consignor Dimension
Booking Office Dimension
Initial Booking Activity Schema
Origin Dimension
Destination Dimension
Pick up Date Dimension
BOOKING DATE DIMENSION• Booking Date Key (PK)• Date• Day of Week• Day Number in Epoch• Week Number in Epoch• Month Number in Epoch• Day Number in Calendar Month• Day Number in Calendar Year• Day Number in Fiscal Month• Day Number in Fiscal Year• Last Day in Week Indicator• Last Day in Month Indicator• Calendar Week Ending Date• Calendar Week Number in Year
• Calendar Month• Calendar Month Number in Year• Calendar Year-Month (YYYY-MM)• Calendar Quarter• Calendar Year-Quarter• Calendar Half Year• Calendar Year• Fiscal Week• Fiscal Week Number in Year• Fiscal Month• Fiscal Month Number in Year• Fiscal Year-Month• Fiscal Quarter• Fiscal Year-Quarter• Fiscal Half Year• Fiscal Year• SQL Date Stamp of booking office
PICK UP DATE DIMENSION• Pick up Date Key (PK)• Date• Day of Week• Day Number in Epoch• Week Number in Epoch• Month Number in Epoch• Day Number in Calendar Month• Day Number in Calendar Year• Day Number in Fiscal Month• Day Number in Fiscal Year• Last Day in Week Indicator• Last Day in Month Indicator• Calendar Week Ending Date• Calendar Week Number in Year• Frequency
• Calendar Month• Calendar Month Number in Year• Calendar Year-Month (YYYY-MM)• Calendar Quarter• Calendar Year-Quarter• Calendar Half Year• Calendar Year• Fiscal Week• Fiscal Week Number in Year• Fiscal Month• Fiscal Month Number in Year• Fiscal Year-Month• Fiscal Quarter• Fiscal Year-Quarter• Fiscal Half Year• Fiscal Year• SQL Date Stamp at pick up
CONSIGNMENT DIMENSION
• Consignment No (PK)• Consignment Type (FK)• Consignment weight• length• Breadth• Height• No of Packages• Packaging Type (FK)• Value of the Consignment
Consignment Type Dimension
Consignment Type (PK)MailPacketHousehold Goods unpackedHousehold Goods PackedIndustrial Goods PackedIndustrial goods Unpacked
Packaging Type Dimension
Packaging Type (PK)Paper packingGunny BagsCard Board BoxesWooden BoxesSteel BoxesWaterproof packagingPolythene PackingUnpacked
BOOKING OFFICE DIMENSION
• Booking Office No (PK)• Booking office name• Booking office state• Booking office district• Booking office region• Booking office street• Booking office premises No• Booking office Tele No• Booking office email• Booking office owner (FK)
Booking Office Owner Dimension
Booking Office Owner (PK)Owner nameOwner Father’s nameOwner ageOwner address House NoStreetDistrictStateRegionPin codeTele No
CONSIGNOR DIMENSION• Consignor (PK)• Name• Address premises No• Location • City• District• State• Region• Pin code• Tele No• Email • Mob No
CONSIGNEE DIMENSION• Consignee (PK)• Name• Address premises No• Location • City• District• State• Region• Pin code• Tele No• Email • Mob No
ORIGIN DIMENSION
• Nearest DC• Nearest Booking + Del
Office
• Origin (PK)• Address premises No• Location • City• District• State• Region• Pin code• Tele No• Email • Mob No
DESTINATION DIMENSION
• Nearest DC• Nearest Booking/Del
Off
• Destination (PK)• Address premises No• Location • City• District• State• Region• Pin code• Tele No• Email • Mob No• Distance from origin in KM
DELIVERY FACT
• CONSIGNMENT DELIVERY AT THE DESTINATION
Delivery Date (FK)Consignment (FK)DC (FK)Consignor (FK)Consignee (FK)Origin (FK)Destination (FK)Revenue Rs
Consignment Delivery FactDelivery Date Dimension
Consignment Dimension
Consignee Dimension
Consignor Dimension
DC Dimension
Consignment Delivery Activity Schema
Origin Dimension
Destination Dimension
DC DIMENSION• DC No (PK)• DC name• State• District• Region• Street• Premises No• Tele No• Email• DC Manager• Area of Responsibility DC• No of small trucks • No of large trucks • No of employees manning DC• No of loading equipments•
FUELLING FACT
• Truck getting fuelled at a petrol pump
• Date• Truck• Driver• Consignment• Origin• destination• Petrol pump• Type of fuel• Quantity of fuel• Price of fuel• Type of lubricant• Quantity of lubricant• Price of lubricant
Refueling Date (FK)Consignment (FK)Truck (FK)Driver (FK)Petrol Pump (FK)Origin (FK)Destination (FK)Type of fuelQuantity of fuelPrice of fuelType of lubricantQuantity of lubricantPrice of lubricant
Truck Getting FuelRefueling Date Dimension
Consignment Dimension
Petrol pump Dimension
Driver Dimension
Truck Dimension
Truck Getting Fuel Activity Schema
Origin Dimension
Destination Dimension
TRUCK DIMENSION
• Registration Number (PK)• Make • Model• Year of Manufacture• Capacity• KM Reading• Quantity Loaded
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