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Focus: Transportation Management

Feature Article from Our Transportation Management Subject Area - See All

From SCDigest's On-Target E-Magazine

June 1, 2011

 

Logistics News: PepsiCo Brings Automated Wave Management Concept to Transportation Planning

 

Existing Process with Huge Volumes wasn't Sustainable, PepsiCo's Ukidwe says; New Optimization Cockpit Automates Order Selection and Optimization Process Across 10 Divisions

SCDigest Editorial Staff

 


PepsiCo, one of the largest shippers in the US across its many division, has taken an innovative approach to transportation planning and optimization that allows it to automate several existing steps and decrease its freight spend in the process.

Pepsico, which in addition to its traditional soda group runs such businesses as Tropicana juices, Gatorade, Frito-Lay, and other divisions, also recently purchased its largest bottler, adding further to its network and transportation complexity.

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Because of the more comprehensive order selection process based on rules and the auto capability to puts low quality orders back into a future optimization run, PepsiCo gets better optimization results.
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All told, PepsiCo manages at least $2.2 billion in freight spend, and some 1.5 million shipments per year, including private fleets, dedicated carriage, direct store delivery, refrigerated trucks and other requirements in addition to straight truck load shipments across its huge supply chain network.

According to Animesh Ukidwe, a transportation solutions manager at PepsiCo, as the complexity of the network grew through acquisitions and more areas of the company being brought into PepsiCo's load control center (LCC), the number of rules, requirements and constraints by product, channel and customer proliferated along with the basic challenges of the immense volumes being managed.

As its load control center evolved over the last 10 years from managing a single division to 10, with corresponding increases in volumes and complexity, the process of optimizing available loads and moving them through execution became overwhelming. Like most LCCs, PepsiCo planners with expertise in a given region or division would select orders from an available pool, run them through the transportation management system for optimization, and then send them on for "local execution."

This somewhat manual planning process, which depended heavily on the tribal knowledge of individual planners, was "not sustainable," Ukidwe said recently during a presentation at the JDA Software users conference. PepsiCo has been a long time user of the i2 Technologies' TMS solution; JDA acquired i2 in 2010, and is in the process of developing a new release that will combine the features of the i2 and existing JDA TMS products.

The existing process was error prone, not scalable other than throwing more people and dollars at the challenge (not a very popular strategy today), took too long to execute, and often involved spreadsheets and other "unsupported apps" used by planners on the side, according to Ukidwe.

New Optimization Cockpit

Ukidwe led the effort to go to a much more automated solution, building what he calls the Optimization Cockpit.

The new system, which is basically built on top of the existing TMS, works much like advanced wave management approaches in a distribution center. It lets planners build an infinite number of rules for selecting orders from the general order pool across the company, apply various other requirements and constraints, and then have the system either kick-off that run automatically or have a planner do it with the click of a button.

This is much like a wave planner in a DC builds preset order selection rules to grab available orders to drop to the distribution center floor. Ukidwe said that in practice, about 20 different variables are used to select the different order pools for optimization.

(Transportation Management Article Continued Below)

 

CATEGORY SPONSOR: SOFTEON

 

Those optimization runs then usually occur automatically, based on the timing defined within the Cockpit for that particular order set. For example, the Frito-Lay inbound raw materials plan is run daily; others may be run more or less frequently. Now, instead of manually selecting the orders to be optimized, the first time a transportation planner at PepsiCo usually sees what the system-generated plan looks like is after the optimization has already completed. (A few difficult order sets are not included in the Cockpit runs due to their planning complexity.)

The ability to build the Optimization Cockpit was facilitated by technology i2 developed several years ago called the Agile Business Process Platform (ABPP), which uses service-oriented architecture technology to allow customers to develop customized "workflows" for the functionality within the i2 product solution set, among other capabilities.

Multiple optimization runs can be processed at a time. Ukidwe says the runs are often complete in just a few minutes, with some very complex ones taking perhaps 20 minutes - still very acceptable. Key also is the fact that the system is integrated with the many different order management systems that are running in different parts of PepsiCo's business.

One of the neat features of the system is that after the runs are complete, the system will check for load "quality." So, for example, if there is low trailer utilization on a delivery, or a deadhead return trip, that would be a low quality route. If the customer delivery date or the date the order needs to dropped to a DC (which varies by DC and/or business unit) can still be met by delaying sending that route to execution, the system will return that load to the available pool automatically so it can be available for a new optimization run.

The Optimization Cockpit has delivered many benefits, Ukidwe says. First, it has automated a key part of the process, allowing planners to be more productive and the optimization runs to be more complete. It has led to quality of life improvements, as planners often had to come in extra early on some days to build the order pools for specific optimization.

Because of the more comprehensive order selection process based on rules and the auto capability to puts low quality orders back into a future optimization run, PepsiCo gets better optimization results, though Ukidwe would not give a specific number for the additional freight savings that Cockpit has delivered.

The system took about six months from development start to go live, Ukidue says, using both PepsiCo and i2/JDA resources.

"This is a very innovative approach and one which seems a natural to any large shipper to better automate the transportation planning process," says SCDigest editor Dan Gilmore.

What do you think of PepsiCo's Optimization Cockpit? Are you already doing something similar in terms of TMS automation? Let us know your thoughts at the Feedback button below.


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