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No risk - just certainty
Production under control
Production growth under strict control
Make the right strategic decision
- Remove uncertainty with predictive simulation strategise
- What if you could see into the future measure behavior calculate risk remove uncertainty
- We deliver the certainty to empower smart business
Let an Improve Factory Expert show you more about our products and how we can help.
Improve Factory: Production under control
Order execution time reduction
Labor productivity increase
Work in progress and working capital reduction
Orders finished on time
Operating cost reduction
Labor productivity increase
Work in progress and working capital reduction
Orders finished on time
Operating cost reduction
- 50-70%Order execution time reduction
- 20-30%Labor productivity increase
- 50-70%Work in progress and working capital reduction
- 100%Orders finished on time
COSTS REDUCTION
Volume planning for the analysis of the execution of plans, including calculation by cycles.
GOOD SUPPORT
Simulation predictive modeling and getting answers to the questions "what if?" in real time.
CONFIDENCE IN THE DECISIONS MAKING
Automatic construction of the optimal executable plan taking into consideration Work in Progress (WIP).
TRANSPARENCY AND COORDINATION
Acquisition and launch of tasks in production, operational control.
OUR SOLUTIONS
Products in an enterprise management structure
Use cases
Project to reduce the production cycle and increase profitability for the company Crane Technologies
1. Production cycle was reduced by 4 times.
2. Productivity was increased by 2 times.
3. Goods in process and stocks were reduced by 2,5 times.
4. Profit was increased by 4 times.
5. The payback period — 3 months.
2. Productivity was increased by 2 times.
3. Goods in process and stocks were reduced by 2,5 times.
4. Profit was increased by 4 times.
5. The payback period — 3 months.
Project on optimizing the production system of a textile manufacturer
1. Reduction of work-in-progress amounts by two thirds.
2. Reduction of lead times for the key product ranges by half;.
3. Execution of production orders in due time.
4. Production manageability increase due to reducing the replanning time and automation of task assignment process to workstations.
2. Reduction of lead times for the key product ranges by half;.
3. Execution of production orders in due time.
4. Production manageability increase due to reducing the replanning time and automation of task assignment process to workstations.
Reduce energy consumption on the packaging line in breweries in Brazil
Energy consumption decreased by 4.6%
1. Analyze the tables and create a data map, find relevant hypotheses with the team, find key features for modeling.
2. Visualize the results of hypothesis testing in colab, find the amount of energy consumed at idle, find the line warm-up time before work.
3. Create a model to predict warm-up time and energy savings, validate and test the models.
1. Analyze the tables and create a data map, find relevant hypotheses with the team, find key features for modeling.
2. Visualize the results of hypothesis testing in colab, find the amount of energy consumed at idle, find the line warm-up time before work.
3. Create a model to predict warm-up time and energy savings, validate and test the models.
CUSTOMER REVIEWS
- STEVEN FLATCHERDeputy Financial DirectorWithin the framework of the project, a digital twin of the enterprise was created based on the IMPROVE FACTORY software product. This allowed us to identify and demonstrate significant reserves for improving business efficiency. Through joint cooperation, subsequent re-engineering of business processes, and implementation of the production management system, specific production results were achieved: the enterprise's response speed to market requirements increased, and the production cost decreased.
- ROBBIE GARDNEChief Technology OfficerThe solution provided by IMPROVE FACTORY has proven its efficiency, fully recovering its investment, and continues to yield positive economic results.
BFG Soft's software simulation model of the production system demonstrated various options for enterprise development, taking constraints and goals into account. It enabled us to evaluate the outcomes of decisions before implementation, allowing for informed and efficient choices. - LUCAS GARCÍABusiness Development DirectorIMPROVE FACTORY software virtual models of the production system demonstrated various options for enterprise development, taking constraints and goals into account. It enabled us to evaluate the outcomes of decisions before implementation, allowing for informed and efficient choices. The high level of competence among our employees, combined with the capabilities of IMPROVE FACTORY software, instills confidence in the successful realization of our goals.
- STEVEN FLATCHERDeputy Financial DirectorWithin the framework of the project, a digital twin of the enterprise was created based on the IMPROVE FACTORY software product. This allowed us to identify and demonstrate significant reserves for improving business efficiency. Through joint cooperation, subsequent re-engineering of business processes, and implementation of the production management system, specific production results were achieved: the enterprise's response speed to market requirements increased, and the production cost decreased.
OVERVIEW OF FEATURES
Automatic plan balancing to minimize congestion on available technological routes
Compare different plan options to facilitate informed decision-making Each member of our team has at least 5 years of legal experience
Conduct quick analyses of the volume plan's feasibility and identify equipment and personnel bottlenecks
Control of the supply of orders with the formation of a daily plan for the need for materials
Accurately determine necessary resources for plan implementation, including evaluating outsourcing options
Analyze supply risks for planned orders through coordination with the purchasing department
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About the company
The key difference in our approach is that we do not simply automate production planning; instead, we begin with a process of digital re-engineering for your enterprise. In other words, our first step involves creating a digital twin (simulator) of your plant. We use this digital twin to test various hypotheses and explore ways to optimize production, ultimately leading to increased efficiency.