Simulation modelling understandably draws attention across industries and academic disciplines. This was evident also last week when SimAnalytics Academy organized the first open modelling workshop in Finland. Altogether eight participants ranging from researchers to industrial warehousing experts to university lecturers attended the 2-day “Simulation Modelling & Logistics Management” workshop in Kerava.
The program acquainted motivated learners to the basics of complex thinking and building simulation models with AnyLogic software. Instructors tried to keep the lectures as short as possible and get the participants hands-on building their simulation models. This structure was clearly appreciated.
The possibilities of agent-based modelling stimulated the most ideas among the attendees. Controlling real-life randomness through Monte Carlo principles gathered great amount of attention too. Also ideas for utilizing modelling methods in teaching came up during conversations.
“Illustrative exercises with discussions gave many new ideas to utilize simulation modelling with many occasions and challenges. Thank you!”
The feedback gave us many ideas to develop Academy events in the future. In advanced level events we will definitely focus even more on running experiments with created models.
“An intensive, well-guided workshop. Well-informed instructors. Thank you!”
SimAnalytics Academy organized the workshop in cooperation with AnyLogic Company and Laurea University of Applied Sciences. We want to say special thanks to the partners and of course all the attendees.
Upcoming Academy events are already under planning for spring 2014!
PS. Interest towards these modern analytic methods seems to be growing, as after the workshop plans for tailored modelling training was initiated by a customer. If you are interested in familiarizing yourself and your team with modelling methods and/or AnyLogic software, you may contact us to tailor a program suited for your ambitions.
In a recent article SCDigest editorial staff analyzes the role of logistic designing as a source of firm’s competitiveness. Still many companies aren’t utilizing advanced methods in designing their logistic chain and only see the topic “a necessary but not a critical routine”. According to supply chain management experts, these companies are missing an opportunity to minimize costs and maximize effectiveness. The key is to view logistics as a process that can be constantly developed and not a separate function in the company.
Our experience at SimAnalytics is very much in line with the SCDigest authors and similar conclusions have also been made in other outlets. A logistic survey in Finland concluded that 35%-43% of the company competitiveness for large organizations originates from logistics. Further conclusion was that 40%-50% of this competitiveness could be affected by company’s own actions and decisions. Altogether it’s fair to say that logistics is an important process in building firm’s competitive advantage. Furthermore, it is reasonable to argue that there is great potential in advanced methods in logistic development.
The design of logistics is critical especially during the times of change. Decision makers face questions like “what kind of logistic system the company needs when extending its operations” or “how the company should organize manufacturing and delivery of a new product”. These types of questions are critical in designing firm’s processes, but they cannot be answered only with static data provided even by the latest ERP systems. More advanced tools are needed and luckily also available.
SCDigest: “If the analysis is done on spreadsheets, can you really factor in all the right variables, do you really have an optimal answer in the end, and what is your level of confidence you have telling executives what should be done?”
We see simulation modelling as one of the most exciting methods in advanced business intelligence for logistics. It can offer highly customizable tools to design the supply chain with scientifically rigor approaches. When the simulation model is designed, utilized and interpreted properly the method can provide very detailed analyzes to support successful supply chain design.
A company with proper supply chain design system gains many benefits:
- Optimization of existing supply chain ranging from raw material to distribution of products. Also the possibility to deeply understand the firm’s logistic operations is eye-opening.
- Performing different scenario analyzes to test the firm’s system in changing business environment.
- Speed up the firm’s ability to react to changing business conditions such as costs, demand, etc. Also the risks related to delivery within the logistics chain can be tested.
Do your company a big favor and find out how your supply chain design could benefit from the advanced BI tools available. You’ll be amazed.