Nolberto Munier is an Associate Researcher at INGENIO – Polytechnic University of Valencia, Spain. A mechanical engineer with a Ph.D. in project management, he is also the author of more than 30 technical books, mainly on operations research and project management, and a reviewer of technical articles for several journals. His research focuses on decision-making methods and sensitivity analysis.

• Part 1: Theory and analysis of MCDM problems: History of MCDM and how it is performed.-  Multicriteria decision making, evolution and characteristics.- The initial decision matrix  and its relation with modelling a scenario.- Part 2: Theory and analysis of MCDM problems: What can be done by using the MCDM process?.- How to shape multiples scenarios.- The decision-maker, a vital component of the decision-making process.- Design of a decision-making method reality-wise – how should it be done?.- Part 3: Theory and analysis of MCDM problems: proposes SIMUS as a strategic procedure to tackle real-world scenarios.- Linear programming fundamentals.- The SIMUS method.- Sensitivity analysis by SIMUS – the IOSA procedure.- Group decision-making.- SIMUS applied to quantify SWOT strategies.- Analysis of lack of agreement between MSDM methods related to the solution of a problem-proposing a methodology for comparing methods to a reference.- Part 4: Practice of problem solving using MCDM– support for practitioners.- Support and guidance to practitioners by simulation of questions formulated by readers, and detailed answers and examples.- Best practices - modeling and sensitivity analysis in MCDM.- Some complex and uncommon cases solved by SIMUS.

Nolberto Munier is an Associate Researcher at INGENIO – Polytechnic University of Valencia, Spain. A mechanical engineer with a Ph.D. in project management, he is also the author of more than 30 technical books, mainly on operations research and project management, and a reviewer of technical articles for several journals. His research focuses on decision-making methods and sensitivity analysis.

• Part 1: Theory and analysis of MCDM problems: History of MCDM and how it is performed.-  Multicriteria decision making, evolution and characteristics.- The initial decision matrix  and its relation with modelling a scenario.- Part 2: Theory and analysis of MCDM problems: What can be done by using the MCDM process?.- How to shape multiples scenarios.- The decision-maker, a vital component of the decision-making process.- Design of a decision-making method reality-wise – how should it be done?.- Part 3: Theory and analysis of MCDM problems: proposes SIMUS as a strategic procedure to tackle real-world scenarios.- Linear programming fundamentals.- The SIMUS method.- Sensitivity analysis by SIMUS – the IOSA procedure.- Group decision-making.- SIMUS applied to quantify SWOT strategies.- Analysis of lack of agreement between MSDM methods related to the solution of a problem-proposing a methodology for comparing methods to a reference.- Part 4: Practice of problem solving using MCDM– support for practitioners.- Support and guidance to practitioners by simulation of questions formulated by readers, and detailed answers and examples.- Best practices - modeling and sensitivity analysis in MCDM.- Some complex and uncommon cases solved by SIMUS.

Nolberto Munier is an Associate Researcher at INGENIO – Polytechnic University of Valencia, Spain. A mechanical engineer with a Ph.D. in project management, he is also the author of more than 30 technical books, mainly on operations research and project management, and a reviewer of technical articles for several journals. His research focuses on decision-making methods and sensitivity analysis.

• Part 1: Theory and analysis of MCDM problems: History of MCDM and how it is performed.-  Multicriteria decision making, evolution and characteristics.- The initial decision matrix  and its relation with modelling a scenario.- Part 2: Theory and analysis of MCDM problems: What can be done by using the MCDM process?.- How to shape multiples scenarios.- The decision-maker, a vital component of the decision-making process.- Design of a decision-making method reality-wise – how should it be done?.- Part 3: Theory and analysis of MCDM problems: proposes SIMUS as a strategic procedure to tackle real-world scenarios.- Linear programming fundamentals.- The SIMUS method.- Sensitivity analysis by SIMUS – the IOSA procedure.- Group decision-making.- SIMUS applied to quantify SWOT strategies.- Analysis of lack of agreement between MSDM methods related to the solution of a problem-proposing a methodology for comparing methods to a reference.- Part 4: Practice of problem solving using MCDM– support for practitioners.- Support and guidance to practitioners by simulation of questions formulated by readers, and detailed answers and examples.- Best practices - modeling and sensitivity analysis in MCDM.- Some complex and uncommon cases solved by SIMUS.