Recently active topics

Starting with Aimms-24.1.8.2-x64-VS2022.exe, the installation no longer seems to include the libaimms3.lib import library, while earlier versions did.I could not find any release notes, documentation, or blog posts explaining this change.Could you clarify:Whether the removal of libaimms3.lib from the installer is intentionalWhat the recommended approach is for linking against the AIMMS API in 24.x and later (e.g., dynamic loading, generating the import library, or obtaining it separately)Any guidance or references to official documentation would be appreciated.

The GMP matrix and operating on it.In many Mixed-Integer Programming (MIP) applications, not all instances solve equally well.While some cases reach optimality quickly, harder instances may hit time or resource limits long before the solver has finished its search by reducing the gap below accepted tolerances.With a standard AIMMS solve statement, restarting the solve means starting over: the model is regenerated and the solver search is reset.Continued Solve in a nutshellThe GMP library separates model generation from solver execution.Once a GMP instance has been created, it remains available in memory and can be solved multiple times.For solvers that support continued search (such as CPLEX and GUROBI), this makes it possible to: Preserve the solver’s internal search state Reuse progress made in earlier solve attempts Continue a search instead of restarting it This capability is one example of the power of the GMP library, others include retrieving progress information, changing c

If you’re missing data, either because data on your current supply chain is incomplete, or because you’re recommending new lanes, locations or markets, there are many ways you can approach this problem. 𝗘𝘅𝘁𝗿𝗮𝗽𝗼𝗹𝗮𝘁𝗲 𝗳𝗿𝗼𝗺 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗱𝗮𝘁𝗮You can take averages of costs at similar warehouses or on similar transport lanes. You can use regression analysis to find cost drivers. This works well if you're growing in a way that's similar to what you've done before.Simple extrapolation Take an overall (or regional) average of what you’ve done before.  E.g. Average cost per warehouse for a region  E.g. Average cost per mile for a transport lane (see this article for how-to tips) This is easy to do, and often good enough for high-level strategic modelling Regression Analysis For more nuanced insights, apply regression analysis to identify cost drivers. This method reveals patterns in your data and can incorporate more variables. E.g.  If you have both very short and very

Dear Community,I’m using the following dex mapping :<AimmsParquetMapping>    <RowMapping name="xxx">    <ColumnMapping name="A" binds-to="iA" binds-existing="1" skip-non-existing="0"/>    <ColumnMapping name="B" binds-to="iB"/>     <ColumnMapping name="C" maps-to="plan(iA,iB)"/>    </RowMapping></AimmsParquetMapping>Suppose now I have a row in the input file that has a NULL for the iA value. I would expect an error when reading the file, since NULL is not in the set, but the line just got skipped. Is there something wrong here or is there another way to detect empty key values?Kind regards,MarcUsing DEX version: 25.6.1.1   

SC Navigator Demo Webinar – Frequently Asked Questions During our first SC Navigator demo webinar, participants were able to submit questions via the chat.This FAQ compiles those questions along with our responses. We’ve also included several reference links related to the topics demonstrated by Emily (links are provided at the end of this document). Topics coveredEnd-to-end (E2E) lead time constraints Transport load consolidation Lead time offset Transport cost dataHow does using end-to-end (E2E) lead time constraints impact model performance?Are there any general rules of thumb?The performance impact of E2E lead time constraints is highly dependent on the size and structure of your model, so it is difficult to give a general rule of thumb upfront.That said, the example below may help set expectations regarding scale and performance:Dataset characteristics 110k demand points with a maximum E2E lead time constraint 1k transportation lanes with transportation lead times No supplier, w

 In our experience, SC Navigator customers can recover their license costs within 3 (–6) months when a small number of critical conditions are in place. These are not theoretical best practices — they are practical ROI drivers we see repeatedly across successful implementations.The ROI Drivers That MatterFast ROI is driven by a combination of decision urgency, organizational focus, and execution discipline: Active senior management involvement, driven by the need to make high-impact, time-critical decisions where the cost of sub-optimal outcomes is significant. A well-defined first project with clear success criteria and a focused set of scenarios to be evaluated. This project should be supported by a backlog driven by real business questions. A dedicated core team, typically consisting of: a modeller who is data-savvy, and a business analyst with strong domain and business knowledge. High-quality data, including transportation data, enabled by a data management process

SC Navigator 26.2.1Date January 26, 2026 New Features A new feature is now available to retrieve transport cost information. High-level transport cost data is available via the Retrieve High-level Cost Data attribute, and detailed cost data can be requested through the Request Detailed Cost Data attribute. For more details on how to use these features, please refer to Transport Cost. Improvements In some situations when working with a big dataset, we have improved the performance of the preprocessing of the optimization model. Selecting routes on the Transport Navigator main page could take rather long. We improved the performance drastically. The performance in processing the results in the E2E lead time model has been improved. In Transport Navigator, the demand data validation message is improved. It now shows a clear list of allowed demand attribute combinations, preventing ambiguous interpretation. In Transport Navigator you will get an error when start

 Many optimization initiatives fail—not because the math is wrong, but because the application around the model is.BI tools, dashboards, and lightweight app frameworks like Streamlit are great for reporting and visualization, but they cannot support interactive, collaborative decision-making.The AIMMS WebUI solves three critical business problems dashboards can’t: Interactive planning with real feedback from the optimization model Guided workflows for complex decision processes Secure, multi-user collaboration What Business Problem Does the AIMMS WebUI Really Solve? 1. Optimization requires interaction, not reportingDashboards show results. AIMMS shows options.Planning is iterative:change assumptions → run optimization → review trade-offs → adjust inputs → repeatIn AIMMS, users directly manipulate inputs in tables, maps, Gantt charts, and graphs, with changes propagated instantly across all dependent calculations and visualizations. Optimization runs are user-triggered Results ap

I recently interviewed several new AIMMS users.They all came from a strong Python background.They all still use Python today.And without coordinating, they told the exact same story.The learning curve? Surprisingly gentle.Their experience was consistent:Within two weeks, they had a working toy model. After that, moving into more advanced AIMMS features felt natural. WebUI, scenario handling, Math Model Inspector — all accessible quickly.In other words:If you know Python, learning AIMMS is not the hard part.That often surprises people — especially those who assume that a domain-specific optimization language must be difficult or academic.It isn’t.The real challenge starts after the honeymoon phaseAfter the first few weeks, something else happens.The excitement of “I can model this!” fades…and a more serious question emerges:“How do I structure this model so it can survive real business use?”Several users independently pointed to the same challenge:👉 Choosing the right structure for a b

Dear all,thank you very much for allowing me to be a member of this community. I am very impressed by the tool and find it very interesting.I am studying logistics. At the moment, I am writing my bachelor’s thesis about optimizing the supply chain from refineries to tank terminals using rail and inland waterways.On your website, I saw that oil companies are already using the SC Navigator tool. I have completed the online training on the fundamentals, which was very well structured and clearly explained. However, I am still wondering how I can apply this knowledge in practice.Are there any example courses or case studies for SC Navigator that show how to optimize the supply chain for oil products, for example from a refinery to tank terminals?In this context, several factors are important, such as: Are freight costs (€/ton) specified in the Cost Per UOM column? Is it possible to model a supply chain where suppliers are defined as supply nodes and warehouses or storage terminals are de

Need to securely store 'secrets' such as passwords or API keys for your application?We released a new service to cater for that. Your app secrets will be securely stored in an Azure Key Vault. Read more about it on: https://documentation.aimms.com/cloud/managing-secrets.html 

SC Navigator 26.1.1Date January 8, 2026 New Features Transport Navigator has been extended with the ability to allow flexibility in the delivery day for each customer, through the attribute Pattern Group. This flexibility can be used to balance the warehouse effort through the attributes Minimum Relative Capacity and Maximum Relative Capacity. See Getting Started with Transport Navigator for details. Improvements A new Source Location Weight attribute has been added to the Locations sheet to extend the Maximum # of Source Locations constraint by allowing weighted source contributions. For more details, see the documentation Optimization Parameters and Constraints. On the COG Settings page, a counter has been added to the Fixed Location selector. In Transport Navigator, the readability of the main text on the Solve in Background dialog page is improved by adjusting the font color, which was previously too light and hard to read. In Transport Navigator, the titles