UPM Junction Challenges

We present three interesting challenges for the participants to tackle on!

#1. Supply Chain Goes Mobile / Product Tracking Service Concept

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  1. Track description

    In this track developers are challenged to bring the identification and localization of paper products to a new level and bring the origin of the paper, its quality, journey, and arrival at the final destination easily available for both customers and UPM’ers. We urge you to explore how existing and emerging technologies such as IoT, drones, VR, AR etc can enhance the experience and streamline the processes.
     
  2. Use cases

    Use case 1: Last leg information
    On-time delivery is a very important KPI for supply chain performance. Currently times of production and loadings are well-known and based on average transport times the arrival time of the goods at the customer premises can be fairly well estimated. However, knowing exactly the time of arrival would help to improve customer service, follow-up the deliveries and optimise the supply chain further. Several trials have been done to register the time of arrival, but none took off on large scale since they all included manual actions either from truck drivers, service providers, or customers. There is high demand for invention that would provide the exact arrival time at the end destination without manual intervention.

    Use case 2: Quality and production information for technical sales
    When UPM technical sales person is visiting a customer (e.g. the printing facility of a media company) and the customer is raising questions regarding the quality and origin of the paper that has been delivered. How can the sales person check the quality and related information fast and easily for each paper reel to give better sales experience to customer?

    Use case 3: Quality and production information for mill people
    The floor around the paper machine is filling up with reels that have been taken aside. The reason might be a quality or production issue, or an order change. As the reels are unwrapped they can only be identified from a tag with a bar code on the reel end. How can supervisor easily get the production data of reels? How can supervisor see the status of planned process of reels (like wrapping, rewinding, pulping) and reason code (set of waste reasons) and make changes to process if needed?
     
  3. Impact

    Improved customer experience, transparency of deliveries, faster decision-making, easy and efficient tools for UPM employees. 
     
  4. Success criteria
     
    Show us something that brings simple function and high value in form of an outstanding user experience. We are looking for a out-of-the box thinking and a solution that is easy to implement with high business potential.
     
  5. Challenge owners
     
    Use case 1: Antti Ilovuori
    Use case 2: Veli-Matti Kananen
    Use case 3: Virve Räty

#2. Supply Chain Visualisation

Supply Chain Visualisation 
  1. Track description
     
    UPM Paper products are daily produced, converted, stored and transported worldwide. In this track we are looking for innovative ways of analysing and visualising the cargo flows and order lifecycle to support decision-making, reduce waste and ecological burden, and offer exciting new ways to for UPMs customers to follow-up orders and stock levels. It is challenging to represent the overall situation of an order because orders, deliveries, stock and invoices are based on “many to many” relationships with high complexity. For example within one order, various order items are typically delivered with multiple deliveries. Vice versa, one delivery can contain order items from many separate orders. Same applies to orders and invoices.

    It is also good to keep in mind that one order item is not only based on product name but also unique combination of variables such as reel width, length, basis weight, core type etc. The amount of available data is significant. We believe that the challenge can be tackled with non-standard approach, creative use of technology and smart visual design, highlighting only the essential parts. 
     
  2. Use cases

    Use case 1: Customer order management dashboard
    UPM customers worldwide are following multiple orders which are on different stages of order lifecycle. Currently there is no integrated solution with outstanding user experience that would offer possibility to follow up on orders, deliveries and stock levels. Ultimate aim is to support fast decision making by processing data real-time and visualizing it and at the same time providing access to all supporting details when needed. How can we present complex relationship between Order, Delivery, Stock (last leg) and Invoice modules in a simple and easily comprehensible way? How to best visualize it in one single view completed with powerful yet intuitive search function?

    Use case 2: Employee order management dashboard
    UPM is operating globally and has production plants, distribution centres, warehouses and customers around the globe. For UPM’s supply chain personnel it’s essential to have effective real-time view of the “big picture” on goods at various locations and possibility to search for example by product, delivery, order, location, or customer for more detailed information.
    UPM personnel is aiming at serving customers at the best possible level, which is only possible with an instant access to customer data and order information. Currently data is distributed in different systems, requiring separate logins. What is the best approach to designing the employee system that is easy to use and intuitive, dynamically providing relevant data and overview of situation? 
     
  3. Impact
     
    Improved customer satisfaction and faster decision-making. Lower ecological burden as a result of less waste and optimised transportations.
     
  4. Success criteria
     
    Show us something that brings simple function and high value in form of an outstanding user experience. We are looking for a out-of-the box thinking and a solution that is easy to implement with high business potential.
     
  5. Challenge owners
     
    use case 1: Markus Muurikainen
    use case 2: Antti Ilovuori
     

#3. Data Analytics

 
  1. Track description

    Data analytics are expected to bring new insights to further improve operations. How could we develop UPM’s supply chain based on existing data? We invite you to dig in and play around with the data in search for the next big thing.
     
    Production efficiency consists of maximum paper machine speed, maximum paper width, maximum output through other equipment after paper machine (winders, wrappers etc.). What can we learn from combining production KPIs from all mills and analyzing general trends, inefficiencies, waste reasons etc. How can data support the drive for minimizing of the waste (width waste, bottom waste, reel waste), machine breaks and machine shutdowns in paper mills? What does applying the AI and ML bring us in this case?      
     
  2. Cases

    Use case 1: Production efficiency
    On individual level paper mills’ performance is heavily analyzed, but pure data may hold many potential new areas for further improvement. Compiling KPIs from all the mills has not been previously done and has great potential of optimizing mills performance further on the global scale. For example, analyzing reason codes for breaks or waste reels, and unplanned shutdowns across the mills. What can the mills learn from each other? How can we combine area and mill specific patterns with open data sources and mitigate risks leading to downtime or other faults?
     
    Use case 2: Order versions
    Changes made by customer on the original order cause large amounts of inefficiencies in both production and logistics worldwide. Every deviation from the plan requires re-planning, additional work and costs. Topic has been in the discussion for quite some time, but no ground-breaking solution found so far. Order history data is stored for a very long time in a system, data can be used to optimize the performance on future cases. The ultimate goals of solving the challenge is to reduce the amount of changes by being more accurate and correct with initial version of the order. How can UPM predict and swiftly react to any changes? How can predictive analytics be used to identify markets, customers or other factors that cause order changes (for example in volume, delivery date and address, or specification)? What is the best way to visualise it for sales and customer service teams?

    Use case 3: Customer claims
    Customer claims can be due to several reasons, e.g. problems in the delivery or quality. Claims are both costly and causing environmental impact in form of wasted raw materials and unnecessary transports. Our hypothesis is that finding root causes for customer claims could help to prevent them from happening, which will have great positive impact on environment and external service providers. What data can support forecasting to alert the cases that might end up in new claims? How to prevent the claims from being filed?
     
  3. Impact
     
    Quality and efficiency in production and delivery contribute to lower the need of raw materials, energy and transportation. Due to high production volumes even small improvements can have a remarkable impact on the ecological burden.
     
  4. Success criteria
     
    Identify and showcase concrete and relevant improvement actions, supported by business case calculations (high level).
     
  5. Challenge owners
     
    Use case 1: Veli-Matti Kananen
    Use case 2: Antti Ilovuori
    Use case 3: Virve Räty