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1 Quintiq Nightcap June 27, 2011, David Rijsman 2 Quintiq Founding - PowerPoint PPT Presentation

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1 Quintiq Nightcap June 27, 2011, David Rijsman 2 Quintiq Founding Vision Develop a single application capable of solving any type of planning puzzle With a healthy disregard for the impossible 3 Company Profile Quintiq is a

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  2. Quintiq Nightcap June 27, 2011, David Rijsman 2

  3. Quintiq Founding Vision “Develop a single application capable of solving any type of planning puzzle” With a healthy disregard for the impossible… 3

  4. Company Profile Quintiq is a leading software company focused on providing Focus Advanced Planning and Supply Chain optimization software Offices Netherlands, Australia, China, Finland, Germany, Italy Malaysia, UK and USA  Founded in 1997; first implementation in 2000  Every year profitable Facts  345 employees  Fastest growing advanced planning company in the world  In use at 500+ sites in 76 countries worldwide Powerful international implementation partner network Partners Recognition 4

  5. Market Segments Metals & Manufacturing Aluminum Copper Food Processing Manufacturing Packaging Service Centers Steel 5

  6. Market Segments Logistics Automotive Container Logistics Contract Logistics (3pl/ 4pl) Express Groupage Maritime Mining Ports and Terminals Postal Rail Cargo Retail 6

  7. Market Segments Workforce Air Traffic Control Aviation Broadcasting Field Services Healthcare Public Transport Security Rail Workforce Optimization 7

  8. Selected Quintiq Customers 8

  9. Quintiq Software Vision 1. Business Model & Business logic Input Level Goal Horizon  Coordination of capacities Each company is unique   Geographical spread of network Yearly / Monthly  Channel mix & route allocation Forecast STRATEGIC PLANNING  Scenario based tool 2008 2009 Having a 100% fitting model is essential   Inventory Spread  Order acceptance and due date  Covering all planning levels determination (ATP/CTP) Months / weeks ahead Orders &  Shipment leg route allocation ENTERPRISE PLANNING Forecast TACTICAL SOLUTIONS  Supply Chain driven KPIs and 11/ 08 12/ 08 2 . Visualization & Interaction full analysis  Multi-location optimization  Complete assignment of resources and carriers to meet order demands & client Days/Hours ahead requirements Orders Individual visualization is essential to support OPERATIONAL PLANNING   Heavy constraint-rule based 36/ 04 37/ 04 38/ 04 5/ 08 6/ 08 7/ 08 optimization ( “ each company is unique “ ) the users in making informed decisions  Real-time scheduling and Within the hour alerting Orders &  Interaction must be direct, fast and intuitive EXECUTION MANAGEMENT  Revision Management Changes 7h 7½ h 8 h  Real time (re)-optimization 3. Optimization Optimization through a selection of  algorithms from the Quintiq Optimization Suite Taking into account all circumstances  Developing planning proposals  Planner defines criteria and makes the  decisions  Generate all necessary information and visualize the planning 9

  10. Quintiq architecture silver layer The makes each customer’s implementation unique. It is the part of the system that will be configured together during a project to provide the final 10% of the solution. The blue layer represents a Quintiq Industry Solution. Quintiq has a number of different Industry- variant Solutions for different market segments. This represents a further 10% of the solution (market specific, but company independent logic). The orange layer represents 80% or more of the solution. It is the standard Quintiq Application Suite, which consists of many planning functionalities, ranging from the Windows (and/ or Web) user interface and the real-time knowledge engine where the knowledge tables and calculations can be specified, to the integrator tat allows integration with other systems and optimizers that allows optimization of (parts of) the puzzle. The Quintiq Application Suite is used by all Quintiq customers. 10

  11. Quintiq Algorithm Overview Quill Constraint programming: can be used to model heuristic Linear/integer programming: algorithms and to combine other search while maintaining algorithms. maximizing goal feasibility of (non-linear) constraints. given linear constraints; interface to CPLEX Quill Mathematical Constraint Logic Program Program Simulated annealing: Graph algorithms improvement by supported by graph random object: e.g. Dijkstra deletion/ insertion shortest path algorithm e.g. vehicle routing, job shop scheduling, and Quintiq more. Path Optimization Graph Algorithms Algorithm 11

  12. Quintiq optimization approach Optimized results are accomplished if the planners stay in control and decide when and how to use optimizer algorithms. Sometimes “decision support” is sufficient, sometimes an optimizer should solve the entire puzzle but often the combination of both (semi-automatic planning) leads to the best results. Level Organization Benefits Description requirements Semi  Good Data/ Rule Quality  Higher service level  Compare different scenarios automatic  Clear Optimization Goals  Include soft goals  Adjust the optimization results planning  Good Human Planners  Freeze part of the optimization results  Allow re-optimization (e.g. to handle exceptions) Automatic  Flawless Data/ Business Rules  Cost reduction  Make on day x planning for day x+ 1 (or x+ 2, etc.) planning  Exact Optimization Goals  Higher utilization  After accepting the optimization, the planner will not re-optimize the result (only make local changes) Decision  Good Data Quality  Increase span of  Global overview of status attention per planner support  Good Human Planners  Focus on better planning  Tendency towards formalization of data  Pro-active instead of reactive Manual  Excellent planners needed  Plans are archived  Long learning curve planning  Excel/ ERP/ TMS  Constantly searching for the right information  Planboard on wall  No insight in global results of local decisions  Stress 12

  13. Discussion 13

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