Sustainability
Emission | Energy | BAT
Would you like to strengthen your competitiveness through targeted improvement initiatives?
- We have helped many complex manufacturing companies achieve lasting improvements, see customer cases.
- Our services are customized to address your specific needs and challenges.
- By combining process knowledge, statistics, and analytics with your insights, we create measurable improvements.
Discover more about our services within Sustainability, Process improvement, Data analysis, and Process development:
Process improvement
Cost | Quality | Time
Data analysis
RCA | Variation | Cost - benefit
Process development
DOE | ANOVA
Examples of customer cases:
Operational Excellence
Customer: Global pharma company.
Need: Implement the company's "Management Operating System".
Method: Introduced tier meetings (approx. 30 in total), visual management & performance metrics, standardized KPIs, "Leader Standard Work".
Result: Established structures for operational control and continuous improvement.
Sissel is dynamic, engaging, highly competent in her field, and has a communication ability that makes things simple and understandable. I highly recommend her assistance on the journey towards Operational Excellence!
- Merete Mørk Mathisen
Improve delivery performance
Customer: Furniture manufacturing.
Need: Improve delivery reliability and predictability.
Method: Data analysis, process mapping, understanding the current situation, root cause analysis, and action planning.
Result: Improved delivery performance and process flow (product development, forecasting, procurement, production, and delivery).
Your Lean Six Sigma workshops were exceptionally effective, offering actionable insights that drove immediate improvements. I highly recommend Lean Tech for your professionalism and expertise.
- Cyrus Zareen
(Former) President, Ekornes Beds AS
Effective Energy Management
Customer: Allnex Norway.
Need: Effective energy management with a model to identify and quantify improvements.
Method: Develop a model to calculate energy consumption based on production procedures, distillation process, product mix & volume.
Result: Energy model for efficient management and reduced costs.
Through structured analysis and process expertise, Lean Tech has developed our Energy Model, making it easier to identify improvement measures and increase our competitiveness.
- Jan Erik Breimo
Reducing Quality Deviations
Customer: Aviation supplier.
Need: Reduce quality deviations for a critical customer.
Method: FMEA, root cause analysis & process mapping.
Result: Improved quality, increased customer satisfaction, and delivery reliability.
Process Mapping
Customer: National competence center.
Need: Improve collaboration and increase efficiency.
Method: Process mapping.
Result: Shared understanding of customer needs, processes delivering customer value, roles, and process flow.
Operational Efficiency
Customer: Aquaculture and marine ingredients.
Need: Ensure high quality, efficient operations, and high HSE standards.
Method: Stakeholder requirement mapping, intuitive workplace organization (5S), process standardization, and development of SOPs.
Result: Standardized best practices to deliver on need.
Optimizing production flow in new facility
Customer: In-vitro diagnostics
Need: Optimize production flow in an expanded facility.
Method: Process mapping, Spaghetti diagrams, Lean-based layout focusing on space utilization & flow, minimal transport & movement.
Result: Optimized facility for flow, efficiency, and resource utilization.
Robust production process
Customer: In-vitro diagnostics
Need: Achieve acceptable & predictable quality and throughput in production.
Method: Process variable mapping, Statistical Process Control (SPC), correlation, and root cause analysis.
Result: Action plan to reduce variation in key factors impacting the outcome.
Increased productivity measured as OEE
Customer: Fish feed production.
Need: Increase capacity by 33% to meet agreed delivery volumes to customers.
Method: Capacity analysis & OEE, creating a shared understanding of the current situation, and targeted actions.
Result: Achieved a 33% increase in volume, with a net gain of 700 MNOK.
Project Management (LIMS)
Customer: Dairy production.
Need: Implement a new LIMS system across all production facilities.
Method: Project management, coordination, and rollout of LIMS solution at 35 dairies.
Result: Successful implementation of LIMS, standardization, and improved laboratory work.
Improve warehouse efficiency
Customer: Construction industry.
Need: Improve the efficiency of warehouse processes.
Method: Go to Gemba, process mapping, interviews, observation, and root cause analysis.
Result: Visualization of the current state and improvement suggestions.
Improve process performance
Customer: Fish feed.
Need: Improve collaboration, reduce machine & equipment downtime, and ensure efficient operations.
Method: Implementation of tier meetings, process performance metrics, intuitive workplace (5S), checklists, and standardization (SOPs).
Result: Improved process performance.
Design of high-tech Waste Treatment Plant
Customer: Global leader in bio-waste management.
Need: Design process equipment.
Method: Process design, mass and energy calculations, P&ID drawings, HAZOP assessments.
Result: An efficient high-tech facility.
Emissions program & BAT evaluation
Client: Chemical industry
Need: Environmental compliance and optimal wastewater treatment.
Method: Developed an emissions monitoring program, compared treatment technology with CWW BREF and BAT standards.
Result: Approved monitoring program, expertise on optimal treatment technology.
Increased laboratory capacity
Customer: Metallurgical industry.
Need: Increase the capacity of internal laboratory services.
Method: Customer surveys, process mapping to identify bottlenecks and improvement areas, capacity analyses.
Result: Increased capacity for prioritized laboratory services.
Project evaluation
Client: Metallurgical Industry
Need: Project evaluation.
Method: In-depth interviews, surveys, and data analysis to highlight different perspectives from those involved in the project.
Result: Report consolidating information and lessons learned from design, implementation, and project startup.
Streamlining return process
Client: In-vitro Diagnostics
Need: Reduce lead times and improve efficiency in the return process for instruments.
Method: Value stream analysis, root cause analysis, and identification of bottlenecks.
Result: Significant reduction in the number of complaints with long processing times.
Streamlining packaging process
Client: In-vitro Diagnostics
Need: Improve the packaging process to achieve cost savings and increase productivity.
Method: Process mapping, analysis of cost drivers and resource usage, evaluation of takt time in sub-processes.
Result: 25% increase in productivity through automation.
Optimizing raw material usage
Client: Dairy Production
Need: Reduce raw material waste to meet emission permits and lower raw material costs.
Method: VSM, data analysis and assessment of data quality, SPC, root cause analysis, and workshop facilitation.
Result: 28% reduction in waste, defined inputs to MES for better control of resources, and improved data quality.
Increasing productivity
Client: Dairy Production
Need: Increase capacity by 50%.
Method: Capacity analysis, OEE analysis, flow analysis, SMED, along with interviews and workshops with operations staff, management, and Sintef to identify capacity reserves.
Result: Improved machine efficiency to meet capacity goals.
OEE analysis to increase productivity
Client: In-vitro diagnostics
Need: Conduct a capacity analysis and quantify the effect of increased buffer between machines.
Method: Data collection, analysis of stoppage causes, OEE and flow to calculate the effect of increased buffer.
Result: Quantified effect of various buffer capacity solutions.
Measurement System Evaluation
Client: In-vitro diagnostics
Need: Evaluate camera measurements to reduce measurement uncertainty and ensure quality control.
Method: Repeated measurements to assess precision, stability, and sensitivity of the measurement method.
Result: Identified and corrected instability.
Reducing raw material costs
Client: Chemical Industry
Need: Reduce raw material costs.
Method: Research, development and implementation of a new recovery process (incl. lab-scale testing to achieve the desired purity, large-scale simulation, equipment design, and commissioning).
Result: Reduced raw material costs by 2.5 MNOK per year.
Optimizing flow and resource utilization
Client: Rubber Production
Need: Improve flow and resource utilization.
Method: AS-IS process mapping to understand the current situation. Various TO-BE scenarios were developed with concrete improvements for optimization.
Result: Action plan for increased efficiency and resource utilization.
