Technology transfer

Technology offer - Capabilities

The different capacities that the CIGIP places at its customers’ disposal are:

  • Analysing and Designing Decision Systems
    In business organisations, the so-called Decision System is basically composed of decision-making processes, characterised according to their short-, mid- and long-term incidence (Operational, Tactical and Strategical). Coordination problems frequently appear in this domain between different company areas. In this situation, the CIGIP analyses the company’s decision-making map to detect points that can be improved. It also has ample experience in designing decision systems that better suit the company’s activity. With a company’s decision map analysis and the simulation of its decision-making activities, problems of coordination among different company areas, the time taken to optimise decision-making activities and the elimination of some decision makers’ overloads will be dealt with.
     
  • Analysis and design of performance management systems in a company and / or supply chain
    Organizational performance management is increasingly becoming an element of competitiveness and differentiation between those companies capable of doing so and those that are not. In addition, they must be able to do it in a simple, continuous and efficient way to be able to compensate the effort invested in this process. In today's competitive environment, one of the key factors associated with success is the ability to measure and manage performance in the different management facets of an organization. CIGIP's experience of more than two decades in this line, analyzing, designing, developing and implementing systems for performance management, allows it to adapt to all types of organizations, regardless of their size and sector of activity.
     
  • Counselling on ERP Software Selection
    ERP (Enterprise Resource Planning) Systems are comprehensive management systems for companies. ERP are products that involve the company making high investments and they come in a variety of packages. The CIGIP has ample experience in analysing management systems by offering companies an analysis of business processes and requirement capturing features, and in analysing ERP preselected according to the requirements and quantification of adapting each ERP to the company. In this way researchers from our centre offer reliable counselling to select the most suitable ERP for each organisation by means of a quantitative analysis of the various correct decision-making alternatives available.

  • Developing the Order Management Process of a Company and/or Supply Chain
    Order management processes and promising orders are critical in sales and customer relations. If they are badly focused or designed, they can deteriorate customer service or unnecessarily create emergency or inefficient situations while industrial operations are undertaken (manufacturing/assembly/storage/distribution/fitting). Our researchers will help you design order management processes and will promise orders to each given situation by bearing in mind both traditional single-company scenarios and collaborative scenarios in sales networks of complementary product/services packages.

  • Managing Production/Operations in the uncertainty context
    Models for planning production and operations that do not recognise uncertainty are expected to make inferior planning decisions compared with models that explicitly bear it in mind. If unavailability and information uncertainty are not available, it is extremely difficult to make plans in a dynamic setting. We believe that the Fuzzy Set Theory and the Possibility Theory are generally suitable methodologies for today’s planning systems for production and operations. Designing and implementing fuzzy mathematical programming models to solve production and operations planning problems with uncertainty can mean huge progress in companies.

  • Advanced Production Systems Design
    Some companies’ production systems have particular problems, such as uncertainty in the design variables of a layout or uncertainty in a product mix. These particular features imply an unconventional, non-commercialised and non-standard systems design. The CIGIP adopts advanced techniques to design these systems that allow the Production Systems to adapt to existing requirements.

  • Designing advanced programming systems for production
    Some companies’ production systems contain specific problems given their complexity (relations among resources, size, dynamics, uncertainty, etc.), which imply unconventional, non-commercialised and non-standard production programming. The CIGIP has ample experience in developing algorithms and implementing software tools which, in turn, are integrated with the tools that companies employ. This is how an advanced solution for a production programming problem is provided, which favours cuts in costs and improved delivery dates.

  • Desiging and Implementing Production Management Systems
    Production activity management is one of the most complicated tasks performed in a company. Using Production Management models is necessary to adapt the characteristics and requirements of each company. By using classic Production Management models, like MRP, JIT and OPT, each company needs to be particularly adapted to production settings. Defining a suitable Production Management system guarantees successfully meeting cost, quality, delivery times, etc., objectives, and is an essential step to select and implement a computer Production Management package.

  • Modelling and simulating production processes
    Changes in production systems result in making a decision to select a series of possible alternatives, which implies different degrees of investment and meeting objectives. Simulation allows production models to be made that come very close to reality. Simulation models help select alternatives based on observing the dynamic evolution of system dynamics and on obtained results.

  • Collaborative Forecasting in Supply Chain Management
    One of the most influential processes in a company’s decision making is forecasting demand. Accurate forecasts help provide a better customer service and cut inventory levels. The level of forecasting accuracy depends on the company’s capacity to obtain relevant information and to be able to interpret it. Collaborative Forecasting is based on the fact that each related company (customers and suppliers or supply chain nodes) has relevant information for forecasting that the others do not have.

  • Operation Reengineering in the Supply Chain
    The CIGIP has developed a methodology to analyse and improve supply chain operations by aligning the company’s vision and mission, modelling its current system and proposal, and implementing the adopted solutions, follow-up, assessments, control and continuous improvements.