DATA LIGHTHOUSE
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DATA LIGHTHOUSE THE FUTURE OF SUPPLY CHAIN OPTIMIZATION There are four big challenges for an optimal production plan. We solved them. Uncertainty in the production process While Software like SAP APO has been a popular choice for many companies, it does have some limitations that affects its performance. The results of the linear programming algorithm are highly dependent on the input data, and small variations in input data leads to significant changes in the solution. This means that when there is a drift between the input data and reality, it results in low accuracy of the planning process, making it unreliable in situations where the input data is uncertain or inaccurate. The significant disadvantage is limited capabilities in risk calculation. Especially when it comes to complex and dynamic problems when making planning decisions. 1 © 2023 Data Lighthouse. All rights reserved.

Generic advanced planning and scheduling systems aim to increase the accuracy of future predictions using refined data and mathematical models. The resulting calculations are based on simple assumptions, including the mean manufacturing time per part, which are affected by factors such as raw material changes, machine status, and manufacturing data like temperature etc. For example, the cycle time is not always the same and is usually distributed in a non-normal way, Common cycle time distribution histogram which is caused by problems in the production process. Such planning systems can...

Continuously modeling reality Lean manufacturing reduces the need for planning by systematically controlling the production environment, but this only partially solve the problems of shopfloor control in the long run. Synergy effects can only be realized when planning ahead. To do so, planning systems often come at the cost of maintaining and acquiring data which is usually not automated. Therefore, our software is integrated in the data gathering process for all production related procedures. This allows us to continuously test and enhance our models against the real-world process behavior...

By integrating shopfloor sensor data directly into the learning process, it is possible to get real-time insights into the manufacturing process. This helps to identify issues and inefficiencies as they occur, allowing for rapid intervention to prevent or minimize negative impacts. Direct data integration enables decision-makers to make more informed decisions. With access to realtime data, we can quickly identify trends and patterns, enabling you to adjust production schedules and make operational decisions based on actual production performance. By monitoring shopfloor sensor data in...

Simulate multiple plans and choose the best Simulation is important for integrated planning optimization because it provides a way to evaluate the performance of different planning scenarios before implementing them in real life. By simulating the production processes using discrete simulation, it becomes possible to model the system and observe how it behaves under different conditions. This allows decision-makers to test different solutions and plans and evaluate their impact on different parameters, such as production capacity, lead time, inventory levels, and cost. Simulation also...

About Data Lighthouse Data Lighthouse is dedicated to creating autonomously acting supply chain management tools that can make independent decisions and take action, revolutionizing the way businesses operate their supply chains. Creating innovative software since 2021, we are working with some of the biggest players in their respective field. contact@data-lighthouse.com www.data-lighthouse.com 6 © 2023 Data Lighthouse. All rights reserved.