Smart solutions, feasibility studies and flow analysis combined with innovative production technologies to improve working conditions, create new business models, increase productivity and quality in plant production.
Our engineers have developed a unique level of expertise with an integrated platform of solutions and building programs for the industry.
It all started with basic feasibility studies and soon developed into groundbreaking end-to-end efficiency and plant optimization tools knows as Concept Engineering program.
More recently the Business Analytics unit developed bespoke tools to integrate broader business metrics into engineering investment and optimization, and the latest development has been the introduction of Artificial Intelligence benefits into the process providing unique insights and self-learning capabilities into the business and engineering mix.
Registered in 2015, Qoncept provides manufacturing strategy consulting, based upon business analytics and modelling solutions developed to lower production costs and increase efficiency and productivity.
Making conscious choices and safe investments
Qoncept is designed specifically to support our partners capital investment programs, from small operations to full-scale Turnkey Projects.
Lean Manufacturing concepts drive this new approach to the engineering of production facilities aimed to improve main KPIs, delivering reductions in energy power, cost of inventories, wield losses, waste and, in general, investment costs. With the collection of project base data combined with process modelling, we provide solid elements to support the process change, a true added value for our Partners.
How does it work?
It starts with the data analysis of your current activities and processes, including:
- Stock rotations
- Cost analysis / product competitiveness
- Analysis of raw material stocks
- Detailed week by week and product by product sales trends
- Analysis of lost sales
- Current analysis of weaknesses
- Employment rates of each part of the existing establishment
The target of an engineering study is therefore to define in details equipment, layout, process data and budget in order to enable our partners to make informed investment decisions.
