2. Problem Understanding
Load Dispatch Planning & Optimization solution is sought-after in any supply chain for
•Determining the products-mix to be dispatched based on priority as per High, Medium, Low
•High priority products to be dispatched immediately OR same day as applicable.
•Day planning is more beneficial, as there is clear visibility on what to dispatch
•Optimizer has much bigger role to play, combining whole day loads to dispatch, determining
how many different type, size & their number is required resulting in operational efficiency
and logistic cost savings.
•Achieving optimal utilization of the container/vehicle as per weight and volume
With above, there are few common practical challenges to be namely
•Large number of SKUs in total, with varying packaging dimension and weight
•Planning is to be as per vehicle available and skus available at the time of arrival of vehicle
•Different orientation of the SKU on the vehicle (mostly it is either length wise or breadth wise)
•Heavier sku can not be placed on top of the lighter sku
•Upper placed sku should have surface area lesser than the lower placed sku
•Heavier SKUs to be placed towards driver cabin side on the vehicle
Private & Confidential
3. Load Planning & Optimization Solution Framework
Trade-offs
•No of Containers /Vehicles & Their Type Output
•Container/Vehicle Volume vs Weight Utilization •Type of Skus and
•Skus mix to be dispatched no of cases per
container/vehicle
Inputs •Packing
•Available SKUs List Arrangement
•Available Vehicle LP Solver Meta- •3-D visuals of
•SKU’s Dimension Heuristics packing
& Weight arrangement
•Weight load profile
(on length axis)
Dispatching Constraints Stuffing Constraints
•Skus are to be chosen as per their •Orientation of placing the sku on
priority e.g. high,medium,low the vehicle, only two possibilities, Tangible Benefits
•Skus are to be in proportions of length & breadth wise •Logistics cost savings
other skus having higher priority. •Heavier skus to be placed •Improved turn-around
towards driver cabin side on the time
Logistic Constraints vehicle
•Vehicle Dimension •Heavier sku can not be placed
•Vehicle Rated weight & volume on top of the lighter sku Intangible Benefits
Capacity •Upper placed sku should have •Lesser effort
surface area lesser than the •Increased efficiency
lower placed sku
Private & Confidential 3
4. Solution Results - Visuals
OPTIMUM WEIGHT & VOLUME UTILIZATION
61.5% of the
load is in first
half length of
the truck
Private & Confidential
5. Appendix – Container and Vehicle Dimension
Carrier Type Sub Type INSIDE LENGTH INSIDE WIDTH INSIDE HEIGHT DOOR WIDTH DOOR HEIGHT CAPACITY TARE WEIGHT MAX. CARGO
Standard 20' 19'4" 7'8" 7'10" 7'8" 7'6" 1,172 ft³ 4,916 lb 47,999 lb
5.89 m 2.33 m 2.38 m 2.33 m 2.28 m 33.18 m³ 2,229 kg 21,727 kg
Standard 40' 39'5" 7'8" 7'10" 7'8" 7'6" 2,390 ft³ 8,160 lb 59,040 lb
12.01 m 2.33 m 2.38 m 2.33 m 2.28 m 67.67 m³ 3,701 kg 26,780 kg
Container
High Cube 40' 39'5" 7'8" 8'10' 7'8" 8'5" 2,694 ft³ 8,750 lb 58,450 lb
12.01 m 2.33 m 2.69 m 2.33 m 2.56 m 76.28 m³ 3,968 kg 26,512 kg
Open Top 20' 19'4" 7'7" 7'8" 7'6" 7'2" 1,136 ft³ 5,280 lb 47,620 lb
5.89 m 2.31 m 2.33 m 2.28 m 2.18 m 32.16 m³ 2,394 kg 21,600 kg
Open Top 40' 39'5" 7'8" 7'8" 7'8" 7'5" 2,350 ft³ 8,490 lb 58,710 lb
12.01 m 2.33 m 2.33 m 2.33 m 2.26 m 66.54 m³ 3,850 kg 26,630 kg
Reefer 20' 17'8" 7'5" 7'5" 7'5" 7'3" 1,000 ft³ 7,040 lb 45,760 lb
5.38 m 2.26 m 2.26 m 2.26 m 2.20 m 28.31 m³ 3,193 kg 20,756 kg
Reefer 40' 37'8" 7'5" 7'2" 7'5" 7'0" 2,040 ft³ 10,780 lb 56,276 lb
11.48 m 2.26 m 2.18 m 2.26 m 2.13 m 57.76 m³ 4,889 kg 25,526 kg
3.5 Tonner 4.26 m 1.85 m 1.7 m 1.85 m 1.7 m 13.4 m³ 3,500 kg
Vehicle
9 Tonner 5.245 m 2.2098 m 2.197 m 2.2098 m 2.197 m 25.47 m³ 9,000 kg
15 Tonner 6.7 m 2.28 m 2.13 m 2.28 m 2.13 m 32.54 m³ 15,000 kg
Private & Confidential
6. Cargo Load Planning & Freight Optimization
Thank You
You can get in touch with us at:
sales@olinks.co.in
022-41232770
Private & Confidential
