In today’s hyper-competitive market, all resources need to be utilized and optimized fully to extract the highest value and gain competitive advantage. In a complex environment the execution of the enterprise strategy is dependent on many different variables and seemingly opposing constraints.
To make sense of the complexity and inter-dependency of the various entities and functions of an enterprise, simulation modelling is used to model the interaction inside and between these entities. Ceenex applies simulation modelling and optimization, together with the principles of the Theory of Constraints to these complex environments. Our solutions are used by management to gain insight into their end-to-end operation and help in the short, medium and long term decision-making process.
Ceenex has a long track record of successful simulation implementations in the mining, logistics and manufacturing sectors. Ceenex has also applied its industry knowledge and Industrial Engineering techniques to help our clients in the mining sector achieve better product mixes, higher throughput and better utilization of resources. This is accomplished through detail modelling and its integration into the planning and production processes.
Mining digitization promises improved and faster decision-making capabilities, fully utilizing the knowledge and data available to the modern miner. Ceenex empowers this knowledge and real-time data by embedding it into a short- and medium-term decision-making simulation tool. This toll is used to determine the probability of being able to deliver on the mine plan given the current operating parameters. It is also used to identify bottleneck processes and then by means of scenario analysis optimize the mine plan and execution plan. It is also used to predict future KPIs and cost measures for specific operations within the production process as well as for the final product.
Ceenex follows an object-oriented systems approach to modelling. Because the models are object based, they are often migrated to operational management systems such as optimizing tools, schedulers and simulation-based schedulers. Simulation-based schedulers are used for training or to test control systems and transaction systems (including integration with enterprise resource planning systems).
Ceenex has the capability and expertise to apply various modelling and simulation tools and techniques to a project, depending on the relevant case environment and requirements. We have a long history of developing simulation solutions for industry in South Africa and Internationally. These include mathematical, financial and statistical concepts either developed as a standalone tool or integrated within an existing application or system. We utilize several “best in breed” off-the-shelf modelling and simulation software products, including Simio and Gensym G2.