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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