Process Modelling, simulation, business process, logistics, supply chain, strategic planning, sales and operations planning, scheduling, advanced planning and scheduling, APS, performance improvement, manufacturing simulation, lean manufacturing, Six Sigma, call centre, CRM, Waiting Times/Lists, Healthcare Improvement, waiting lists, waiting times, distribution, production, process improvement, production modeling, production modelling, productivity improvement, performance improvement, change management, promodel, servicemodel, consulting, continuous improvement, optimise, optimize, optimisation, optimization
Process Modelling, simulation, business process, logistics, supply chain, strategic planning, sales and operations planning, scheduling, advanced planning and scheduling, APS, performance improvement, manufacturing simulation, lean manufacturing, Six Sigma, call centre, CRM, Waiting Times/Lists, Healthcare Improvement, waiting lists, waiting times, distribution, production, process improvement, production modeling, production modelling, productivity improvement, performance improvement, change management, promodel, servicemodel, consulting, continuous improvement, optimise, optimize, optimisation, optimization  
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Process Modelling, simulation, business process, logistics, supply chain, strategic planning, sales and operations planning, scheduling, advanced planning and scheduling, APS, performance improvement, manufacturing simulation, lean manufacturing, Six Sigma, call centre, CRM, Waiting Times/Lists, Healthcare Improvement, waiting lists, waiting times, distribution, production, process improvement, production modeling, production modelling, productivity improvement, performance improvement, change management, promodel, servicemodel, consulting, continuous improvement, optimise, optimize, optimisation, optimization


Case Studies - Food / Drink

Solution: Capacity analysis and improvement
Wright Brand Foods doubled their production capacity and estimated their savings to be over $10 million by using PROMODEL predictive technology. Before selecting PROMODEL, they tried using a consulting firm who developed lots of complicated spreadsheets and charged over $250,000. The result was NO savings and lots of time wasted. Then a custom solution from PROMODEL saved the day by accurately modeling their complex food-producing process and quickly making valuable recommendations for new equipment, changes in process and improved scheduling of personnel that resulted in large savings.

Solution: Simulation Modelling

Simulation Modelling has played a key role in both the successful delivery, and the on-going management, of an expanded warehouse and distribution facility for Walkers Snacks Foods.

A rapidly growing snack food market, and the ability to capture an increasing share of this market, in part thanks to some high profile marketing, has seen Walkers Snack Foods Ltd experience major business growth over the past few years. But, this success has also placed considerable new demands on its UK operations. To manage these, the company - which is now part of the global giant PepsiCo Inc - has undertaken a major programme of upgrading and expanding of production and distribution facilities. One of recently completed key projects in this programme, a vital element in the company’s remodelling of its distribution capabilities, has delivered a massive warehouse expansion at Walkers’ Leicester based factory and warehousing complex.

However, adding storage was only one of the requirements for this development. It also had to deliver operational process improvements in terms of picking efficiency and throughput, and so enable the output capacity of the whole Leicester complex to keep pace with requirements. Therefore, to help ensure that the final design solution was capable of meeting these demands, Walkers, and its project partner, the warehouse solution provider Swisslog, turned to simulation modelling, and the UK based specialist system supplier and consultancy, Production Modelling. As it has turned out, not only did the modelling help prove the design concept, it provided detailed process analysis that led to direct project savings. Additionally, a detailed simulation model was also developed that is now being used by Walkers as an ongoing operational management and training tool.

Project Background
By the end of 2002, Walkers had identified that to keep pace with continued UK sales growth, the warehousing and distribution capacity at its Leicester complex needed to be radically increased.
At the time, the facility included two factories with seven production lines, two of which were recent additions, a single warehouse, fed automatically by the two factories, and the Southern Region Distribution Centre (SRDC). Sited side by side, the warehouse and the SRDC, had previously been integrated through the introduction of a monorail system. This runs on a circular track round the SRDC, transporting full pallets from the high bay warehouse to either the SDRC’s marshalling lanes, for full pallet pick, or to the picking frames, and also transport case picks from the picking area to the marshalling lanes. But, with the increased production from the new lines, the storage capability of this facility, at 9800 pallets, was far from sufficient. In fact, Walkers was having to store products off-site and bring them back to the distribution facility for dispatch. Also, the maximum distribution throughput of the combined operation, at 200 pallets / hour, was also no longer adequate to effectively meet demand.

To solve these issues Walkers set up an engineering project team, and brought on board Swisslog, who would undertake the detailed design work and implement the solution. The concept design that this combined team developed was for a large second high bay warehouse, with space for 13320 pallets, which would be fully integrated with the existing warehouse and the SDRC.

This integration would be achieved by building the new warehouse on the opposite side of the SDRC, from the original warehouse, and then expanding the monorail system to serve both warehouses. The new warehouse, which would be directly linked to the factories, would then feed the monorail from the opposite site of the system to the existing feed, and so utilise the existing picking and dispatch capability and so create a combined operation that could deliver a significant increase in peak throughput, from 200 to 320 pallets / hour.

John Coates, project director for Walkers Snack Foods, explains, “We knew that we would get some important improvements by introducing a new warehouse on the site, and so reducing the need for outside storage, which was costly and inefficient. We also believed that the existing facilities, and in particular the monorail system, had latent distribution capacity that could be utilised to cost effectively deliver a major increase in combined throughput .”

However, while the principle was sound, and management approval for the investment was given the go-ahead, this concept was based on a number of system assumptions, and it was vital that these were fully addressed before detailed design and installation began. As Coates adds, “Significant questions remained as to whether the monorail would simply become too easily grid-locked in practice, when being fed from both sides, and what changes or additions would be needed in equipment, infrastructure, and operational practices to deliver the required throughput of goods.”

To answer these questions the joint project team comprising of Walkers, IMI and Swisslog staff, brought in Production Modelling to undertake a detailed process modelling exercise.

Geraint Foulkes, the project manager for Swisslog notes, “Simulation Modelling is a tool that we have used on past projects. However, this was a particularly complex system and so it was important to find the right external partner for this work. In the end, the team looked closely at two suppliers, but we found that Production Modelling’s understanding of the situation and complexities involved was far better, and they had the skills and experience to effectively deliver the detailed modelling that was required.”

Simulation Strategy
The simulation work had a number of distinct phases. Initially, Production Modelling’s team used the ProModel simulation software to model and verify specific elements of the system, at pallet level. In particular, close attention was paid to the configuration of the monorail system.

This model was not only able to answer the key question, that the system could be used as anticipated without any major configuration changes, but also provided important data for the overall project that would have only been found by expensive trial and error. For a start, it had been anticipated that to provide the 320 pallet / hr throughput, up to six more monorail trolleys could be needed. But, the simulation was able to prove that there were already enough trolleys on the existing system to meet this peak demand, which meant a direct project saving of up to £150 000. Although, it also found that extra lifts, dedicated to moving pallets from the mono rail to the marshalling areas, would be needed, and highlighted the importance of a section of track across the centre of the circuit that acted as a quick return short cut for emptied trolleys.

Another of the major contributions of the initial simulation exercise was to determine that during the part of the week when the system was not being run at peak throughput, but at a much slower rate of 160 pallets / hr, it was important to park a number of unused trolleys in a new parking area, thus avoiding having to constantly rotate empty trolleys together with full ones.
The modelling was also used to investigate a number of operation issues, as Tim Cooke, senior project consultant at Production Modelling reports. “The flow of products within the combined facility is very complex, and the simulation also highlighted how significantly the spread of products through the two warehouses could affect throughput.”

He adds, “We were able to experiment with different storage scenarios, and for instance found that putting all the high runners in one store produced very poor throughput results. From this work, we were then able to help determine the key rules for picking pallets from the two different warehouses, which would deliver the required throughput, and these in turn dictated the important factors for pallet storage.”

“The modelling not only provided us with the confirmation that would could meet the throughput target, but also answered a number of crucial design and operational questions, which would have been almost impossible to solve prior to build without simulation,” adds Foulkes.
Added Ongoing Benefits

This was, though, far from the end of the simulation exercise. The next stage was the development of a far more detailed model of the whole combined operation, which could be run at SKU level. While this was important for design verification, and helping to determine optimal operational speeds and feeds for various equipment, it was primarily developed on the request of Walkers for far more long-term reasons.

“We intentionally decided to make the extra investment in a far more detailed model than was strictly necessary for the design confirmation, because we recognised the important roles such a model could play in preparing staff for the new facility, and as an everyday management tool once the implementation has been completed,” reports Coates.

Having taken a licence for the ProModel software, Walkers are now deploying this detailed model to
help with the ongoing management and development of the operation and its staff. For instance it is being used to illustrate to both senior management and those within the operation how the new system works. It will also help train operators and managers, enabling them to work ‘off-line’ through various scenario that they may come across on a daily basis, such as a crane failure, and see the best options for action. Other usages include ongoing improvement activities, such as looking at the logic of how orders are released to the warehouse from the main business management system, so that lorries are loaded correctly, and assessing if changes to these long standing practices will yield any benefits.

As Coates adds, “The detailed model will prove invaluable for training front line managers, and all the SRDC staff - getting them used to the system on the model and learning about key issues. It is also currently being used to assess existing operational practices, and this has already shown that there is potential in the system for further improvements.”

He concludes, “Overall, the decision to apply simulation technology, and the expertise of Production Modelling, has proved to be a key aspect in the successful delivery of this project.”





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