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OPTIONAL COURSES PROGRAMS


NEW PRODUCT DEVELOPMENT
Lecturer
Manuel José Lopes Nunes

Syllabus:
•  What is a new product?
•  Creating and nurturing an innovative culture.
•  Organizing effectively for new product development.
•  Managing the new product development process.
•  Competitive reaction to new product introductions.
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COST MANAGEMENT IN NEW PRODUCT DEVELOPMENT
Lecturer
Manuel José Lopes Nunes

Syllabus:
•  Financial Concepts. Economic equivalence. Depreciation.
•  Definition of project investment and implementation phases.
•  Identification of design options and technical analysis.
•  Evaluation of economic and financial budget of a project.
•  Cost definitions. Cost classification. Manufacturing cost. Complexive cost.
•  Allocation of indirect costs. Budgeting.
•  Costs management costs in new product development. Target costing: concepts, techniques and 
application.
•  Case studies.
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COSTING SYSTEMS
Lecturer
Paulo Sérgio Lima Pereira Afonso

Syllabus:
1. Introduction to costing systems: Scope and application; Basic concepts; Direct and Indirect costs.
2.
Job order costing: Main characteristics; Implementation; Cost sheets; Applications and cases.
3. Process
costing: Main characteristics; Implementation; Product sheets; Applications and cases.
4. Costing systems 
applied to services: The direct method; Activity-based costing systems; Cases.
5. Integration of cost
information systems: with financial accounting; with management accounting; with production management; in investment projects.
6. Defining a cost accounting system: general considerations; accounts;
methodology. Cases.
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ADVANCED COST MANAGEMENT PRACTICES I
Lecturer:
Paulo Sérgio Lima Pereira Afonso

Syllabus:
1. Strategic Cost Management: Concepts; Traditional vs Modern Systems; Dimensions of Strategic Cost Management; Advanced Cost Management Practices;
2. Activity-Based Cost Management (ABCM): Activity-Based Costing (ABC); Activity Based Management (ABM); Implementation of ABCM Systems; Analysis and Decision Making;
3. Cost Management in Supply Chains: Logistics Costs; Suppliers Cost Management; Total Cost of Ownership (TCO), Suppliers Selection.
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ADVANCED COST MANAGEMENT PRACTICES II
Lecturer:
Paulo Sérgio Lima Pereira Afonso

Syllabus:
1. Japanese Cost Management Practices: Principles, Techniques, Confrontation Strategy. Case studies.
2. Target Cost Management (TCM): Concept and fundamentals; Origins and application of target costing; Cost Management in product development; Techniques; The process of target costing; Aplication of target costing in the production phase: Kaizen costing: Case studies;
3. Inter-organisational Cost Management (IOCM): Definition and concepts; Buyer-supplier relationship in product development; Application of target costing to suppliers; Application of the QFP paradigm; Minimum cost investigations; Inter-organizational cost investigations; Concurrent cost management; Inter-organizational cost management systems; Inter-organizational Kaizen costing; Chained target costing systems; Case studies.
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MULTIOBJECTIVE OPTIMIZATION
Lecturer:
Lino Costa

Syllabus:
Principles of Multiobjective Optimization: Conflicting objectives, Dominance and Pareto optimality. Optimality Conditions. Graphical illustration of solutions. Performance metrics. A-priori, a-posteriori and interactive methods. Multiobjective algorithms: Value function method, Goal programming. Weighted sum method, Constraint method, Weighted Metric Methods. Non-elitist and Elitist Evolutionary algorithms.
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ADVANCED GLOBAL OPTIMIZATION TECHNIQUES
Lecturer:
Ana Maria Alves Coutinho da Rocha

Syllabus:
1. Introduction to global optimization: Local vs global optima; Convexity.
2. Deterministic methods for solving global problems
3. Stochastic approaches to Global Optimization
4. Hybrid methods.
5. Constraint-handling techniques.
6. Use of Matlab packages for solving global optimization problems
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SPECIFIC TECHNIQUES IN OPTIMIZATION
Lecturer:
Maria Teresa Torres Monteiro

Syllabus:
Mathematical  Program with Complementarity Constraints (MPCC)
Optimality conditions.
Solving MPCC using nonlinear programming techniques (NLP): penalty functions and regularization schemes
Practical applications in Engineering and Economics
AMPL modeling
Optimization Solvers
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TECHNOLOGY, INNOVATION AND DEVELOPMENT
Lecturer:
Fernando Romero

Syllabus:
Schools of thought and perspectives on the innovation process. Theory and models of Innovation. Innovation indicators. Intellectual property and economic theory. Markets, networks and innovation. Consumption, production, productivity and innovation. Competition, cooperation and innovation. Innovation theory and development models. The geography of innovation. Institutions and innovation.
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SCIENCE AND TECHNOLOGY POLICY
Lecturer:
Fernando Romero

Syllabus:
Perspectives and arguments on the state function and their impacts on the process of scientific and technological development. Interpretive models of the dynamics, of the interactive mechanisms and of the systemic character of innovation. Science policy. Technological policy. Innovation policy. Organizational formats for science, technology and innovation (STI) policies. Evaluation of policies and their impacts. Foresight, planning and priorities in science and technology. Comparative analysis of national policies. STI policies of the European Union. The influence of international institutions and global organizations on the definition of STI policies.
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TECHNOLOGY, INNOVATION AND INTERNATIONALIZATION
Lecturer:
Fernando Romero

Syllabus:
International flows of knowledge and technology. International scientific networks and knowledge diffusion. Networks of firms and the value chain. International organization of R&D&I. Strategic alliances. Foreign direct investment. Global financial structures. Internationalization policies. Multilateral scientif and technological programmes. Global communities, virtual communities, open source, and knowledge production and innovation.
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PROJECT ECONOMIC EVALUATION
Lecturer:

Paula Fernanda Varandas Ferreira

Syllabus:
1. Financial evaluation of projects
1.1 General concepts for project economic evaluation: investment and return.
1.2 Project cash flow
1.2 Project evaluation: minimum attractive rate of return, net present value, internal rate of return, payback time.
1.3 Comparison and selection of mutually exclusive projects.
2. Economic evaluation
2.1 Externalities
2.2 Cost-benefit analysis
2.3 Multicriteria analysis.
3. Decision making under risk and uncertainty
3.1 Qualitative analysis
3.2 sensitivity analysis and scenario analysis
3.3 Probabilistic risk analysis
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PRINCIPAL COMPONENT ANALYSIS
Lecturer:
Ana Cristina da Silva Braga

Syllabus:
Introduction. Properties of Principal Components. Ellipsoids, eigenvalues. Graphical representation using principal components. Biplots, Mahalanobis. Correlation matrices, decomposition of singular matrices. Dimensionality reduction.
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FACTORIAL ANALYSIS 
Lecturer:
Ana Cristina da Silva Braga

Syllabus:
Introduction. Principal Component Analysis vs. Factor Analysis. Latent variables. Extraction and rotation of factors. Rotation varimax and oblimax.
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CLUSTER ANALYSIS
Lecturer:

Ana Cristina da Silva Braga

Syllabus:
Introduction. Measures of similarity or dissimilarity. Hierarchical classification methods. Distances (or similarities) between groups. Example of hierarchical classification.
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DESIGN OF EXPERIMENTS
Lecturer:
Ana Cristina da Silva Braga

Syllabus:The role of experimental design. Basic principles. Design and planning of experiments, randomness.
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FACTORIAL DESIGN
Lecturer:
Ana Cristina da Silva Braga

Syllabus:
1. Basic definitions and principles
2. Advantages of planning factorial
3. "Two Way ANOVA"
3.1. Study of the assumptions of the model.
3.1.1. Normality.
3.1.2. Residual plot .
3.1.3. Residual plot vs. estimated values.
3.1.4. Homogeneity of variance.
3.2. Confidence intervals.
3.3. 2f designs
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ADVANCED ISSUES ON PRODUCTION ACTIVITY CONTROL
Lecturer:
Sílvio do Carmo Silva

Syllabus:
0. Introduction
Course structure

1. Evaluation of the performance of manufacturing operations
Measures and measuring of effectiveness and efficiency of manufacturing operations and materials flow. The customer service and manufacturing resources perspectives.

2. Production paradigms for satisfying demand
Repetitive and Customized Production.
Make to Stock(MTS), Make to Order (MTO), Hybrid  and Variants of MTO and MTS paradigms. The case of Make-to-Plan
Product Customization Paradigms
Mass production and mass customization.

3. Establishing Due dates
The critical production control cycle: from order negotiation to order delivery.
Establishing due dates of customer orders: critical production planning and control tasks and milestones

4. Production Systems Balancing
Load Balancing. Concurrent/Simultaneous Production. Materials flow leveling.

5. Production activity control tasks and phases
Releasing, authorizing, activating, dispatching and monitoring.

6. Production activity control approaches and strategies
Base-stock replenishment approaches: continuous and periodic.
Base-workload replenishment approaches: continuous and periodic.
The role of MRP systems.

7. Applications - I
Mechanisms for base-stock replenishment: card and non-card based mechanisms. Examples are: TKS, CONWIP and Base-stock.
Mechanisms for base-workload replenishment: card and non-card based mechanisms. Examples are: PBC, Generic KS and Generic POLCA.
MRP based mechanisms.

8. Applications – II
Fitting Production Activity Control mechanisms to Production Paradigms for Satisfying Demand.
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DERIVATIVE-FREE OPTIMIZATION
Lecturer:
António Ismael de Freitas Vaz

Syllabus:
Positive spanning sets and positive basis. Directional direct-search methods (coordinate search).
Interpolation and regression models. Simplex gradients. Simplicial direct-search methods (Nelder-Mead). Lineseach methods with simpletic derivatives (implicit filtering). Interpolation, regression, and underdetermined nonlinear models. Trust region methods based on interpolation models.
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INTEGRATED PRODUCTION MANAGEMENT
Lecturer:
Rui Manuel de Sá Pereira de Lima

Syllabus:
- General concepts of Integration
- Modelling Integrated Production Management
- Business Processes Modelling Language
- Base Information for Integrated Production Management
- Integration of Production Management Functions
- Analysis of Production and Control Systems
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PRODUCTION MANAGEMENT PROCESSES
Lecturer:
Rui Manuel de Sá Pereira de Lima

Syllabus:
- Models of production management
- Information base for production management
- Obstacles to planning and production control.
- Process Modeling Languages.
- Analysis and modeling of processes of production management.
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LEAN PROJECT MANAGEMENT
Lecturer:
Rui Manuel de Sá Pereira de Lima

Syllabus:
•  Fundamentals of Project Management: PMI model and Agile project models.
•  Organizational structure of projects.
•  Scope and integration Management.
•  Management of Time and Resources.
•  Team Management of Lean Projects
•  Change Management.
•  Direction and control of projects in the context of Lean Manufacturing
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HEURISTIC METHODS
Lecturer:

José António Vasconcelos Oliveira

Syllabus:
- General topics
   Introduction to Metaheuristics: history, general concepts.
   Classical versus heuristic optimization.
   General algorithmic structure.
   Complexity, efficiency, experiments and benchmarking
- Constructive heuristics;
- Improvement heuristics and Local Search heuristics;
- Space of solutions and neighbourhood concept;
- Metaheuristics: Grasp, VNS, GLS, ILS, Simulated Annealing, Tabu Search, Genetic Algorithms, Ant Systems.
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DECOMPOSITION METHODS FOR INTEGER PROGRAMMING
Lecturer:
José Manuel Vasconcelos Valério de Carvalho

Syllabus:
Lagrangean relaxation:
Lagrangean problem. Optimality conditions. Subgradient Method. Relation between the values of different relaxations. Integrality property. Applications.
Dantzig-Wolfe decomposition:
Reformulation of the original problem. Master Problem. Subproblem. Angular block structure. Interpretation of Dantzig-Wolfe method. Cutting stock problem. Lower bounds. Applications.
Branch-and-price: 
Design of Branch-and-price Algorithms. Branching Rules. Compatibility between master problem and subproblem. Preserving the structure of subproblem. Symmetry. Methodology for Network Problems. Cutting stock problem. Solution of Linear relaxation and Integer Problem. Applications.
Accelerating Column Generation:
Stabilization Method. Dual Cutting. Applications.
Metaheuristics based on decomposition models. Applications. Software.
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EVOLUTIONARY AND GENETIC ALGORITHMS
Lecturer:
Lino António Antunes Fernandes Costa

Syllabus:
Components and working of an Evolutionary Algorithms. Genetic Algorithms: representation of individuals, fitness evaluation schemes, selection mechanisms and genetic operators (recombination and mutation). Evolution Strategies: representation, mutation, recombination and self-adaptation rules. Multimodality, spatial distribution and diversity-preservation mechanisms. Hybridization techniques. Constraint handling techniques in evolutionary algorithms.
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METAHEURISTICS
Lecturer:

Lino Costa

Syllabus:
Basic concepts of optimization. Discrete and Continuous Optimization. Convexity. Optimality Conditions. Evolutionary Algorithms. Evolutionary Strategies, Genetic Algorithms, Simulated Annealing and Differential Evolution. Constraint handling. Theoretical aspects. Concepts of Multi-objective Optimization. Dominance and Pareto optimality. Optimality Conditions. Graphic illustration of solutions. Metrics for comparing sets of solutions. Classical approaches: Method of Weights, Method of Constraints, Goal Programming. Evolutionary approaches: Non elitist and Elitist Algorithms.
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SYSTEM RELIABILITY AND AVAILABILITY
Lecturer:
Eusébio Manuel Pinto Nunes

Syllabus:
System modeling and calculation of performance measures (availability, state probabilities, reliability, etc.) of repairable system using Markov chains.
Modeling tools for dynamical systems engineering: State Diagrams; Petri nets; Monte Carlo Simulation. Life time distributions. Statistical analysis of failure data. Laplace test. Reliability growth models.Maintenance policy and models. Maintainability. Reliability Centered Maintenance. Total Productive Maintenance. Maintenance performance Measurement.
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MAINTENANCE ORGANIZATION AND MANAGEMENT
Lecturer:
Isabel Silva Lopes

Syllabus:
•  The maintenance function. Types of Maintenance: Corrective maintenance, preventive and condition-based maintenance. Maintainability: concept, analysis and evaluation.
•  Standardization in maintenance (NP EN 13306, EN 15341:2009 NP, etc.).
•  Performance indicators of maintenance: OEE, maintenance costs, MTBF, MTTR, Availability, etc.
•  Repairable systems: Laplace test. Duane and Crow Models to model reliability growth.
•  Predictive Maintenance (techniques for condition monitoring, condition monitoring interval) and proportional hazards modeling.
•  Maintenance models: Age-Based Replacement and Block Replacement.
•  Total Productive Maintenance (TPM): the eight pillars and steps of implementation.
•  Failure Modes and Effects Analysis (FMEA).
•  Reliability Centered Maintenance (RCM): RCM definition, historical development, objectives, principles, 7 questions, tools, steps for implementation.
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NETWORK OPTIMIZATION
Lecturer:
Filipe Pereira Pinto da Cunha e Alvelos

Syllabus:
1. Fundamental network concepts. Introduction to optimization. Easy and difficult optimization problems.
2. Core problems in network optimization: shortest path (SP), minimum spanning tree (MST), minimum cost flow, and maximum flow. Extensions: SP with time windows or resource constraints; MST with capacities, degree constraints, or hop constraints; multicommodity flows. Network design and dimensioning problems. Routing problems.
3. Problem specific algorithms for network optimization: Dijkstra, Kruskal, network simplex, Ford–Fulkerson. Linear and integer programming models for network optimization. Simplex and branch-and-bound methods. Heuristics and metaheuristics for network optimization (e.g. GRASP, VNS). Combination of problem specific algorithms, linear programming and integer programming with metaheuristics.
4. Applications to telecommunications, production planning, logistics, project management, and social networks.
5. Implementation of network optimization methods.
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APPROXIMATE METHODS IN INTEGER PROGRAMMING AND COMBINATORIAL OPTIMIZATION
Lecturer:
Filipe Pereira Pinto da Cunha e Alvelos

Syllabus:
A. Modeling in optimization. Easy and difficult problems. Problem specific algorithms and dynamic programming. Mixed integer programming (MIP): compact, pseudo-polynomial and exponential-sized models.
B. Approximation algorithms. Greedy heuristics. Single solution metaheuristics (MHs) based on local search (GRASP, VNS, tabu search, simulated annealing). Population-based metaheuristics (genetic algorithm, scatter search, particle swarm optimization). Combination of linear programming and MIP with metaheuristics.
C. Applications in production planning and scheduling, network routing and design in logistics and telecommunications, cutting and packing, and natural resources management.
D. Implementation of approximate methods.
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MARKETING
Lecturer:
Manuel José Lopes Nunes

Syllabus:
•  Fundamentals of modern marketing thought.
•  Marketing analysis.
•  Marketing mix decisions.
•  Competition and marketing.
•  Marketing implementation and application.
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ENERGY PLANNING
Lecturer:
Paula Fernanda Varandas Ferreira

Syllabus:
1. Introduction to energy planning
 1.1 Energy systems and markets.
 1.2 Sustainable energy systems
 1.3 The social, environmental and economic dimensions of the energy systems.
 1.4 Criteria assessment: Monetisation and multicriteria methods
2. Tools and methods for energy planning
 2.1 Scenario construction.
 2.2 Discrete models: scenario analysis.
 2.3 Computer tools for analyzing energy system.
3. Application to selected examples and case studies
 3.1 Selection and characterization of case studies.
 3.2 Data collection and data source.
 3.3 Application of the computer tools to the selected cases studies.
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EXACT AND HYBRID METHODS FOR INTEGER PROGRAMMING
Lecturer:
Cláudio Manuel Martins Alves

Syllabus:
• Linear Programming: formulations, geometry, duality, solution methods, degeneracy, network models (unimodularity and total unimodularity, minimum cost flow problems and variants, network simplex method);
• Integer Programming models: modeling with binary variables, standard IP models, modeling large-scale problems, quality of the formulations (relaxations, lower and upper bounds, integrality gap, strategies to improve the quality of a formulation);
• Valid inequalities: superadditivity, maximality, Chvátal-Gomory cuts, dual feasible functions, general cuts based on d-dimensional dual feasible functions;
• Exact solution methods: dynamic programming, branch-and-bound, branch-and-cut, computational issues;
• Hybrid solution methods: combining standard solution methods with constraint programming, MIP-based heuristics;
• Software for Integer Programming.
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INVESTMENT APPRAISAL
Lecturer:
Jorge Miguel de Oliveira Sá e Cunha

Syllabus:
- Investment basics: the objective in corporate finance; investment definition; classification of investment projects; elements necessary for the preparation and analysis of investment projects; Main stages of an investment project.
- Investment decisions and business strategy: perfect markets and competitive advantage; from strategic analysis to investment analysis.
- Computation of a project’s cash flows: The concept of cash flow, the investment plan, the operational plan and financing plan.
- Investment appraisal methods: payback period; average rate of return; net present value; internal rate of return; modified internal rate of return; profitability index.
- Risk and uncertainty in project evaluation: empirical methods.
- The financing of the project: sources of funding; decisions on capital structure; the cost of capital.
- Complements of investment appraisal: Mutually exclusive projects; projects under financial constraints; investment Analysis and inflation; performance of past investments.
- The real options approach: financial options and real options; valuation of options; typology of real options; valuation of real options.
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REAL OPTION ANALYSIS
Lecturer:
Jorge Miguel de Oliveira Sá e Cunha

Syllabus:
I. Introduction
I.1 Options Valuation
I.2 Basic Nature of Options
I.3 From Financial to Real Options Valuation
I.4 Irreversibility, Uncertainty, and Investment
I.5 The Options Approach to Capital Investment
I.6 Models for Real Options Valuation

II. Valuing Real Options 
II.1 The Value of Waiting to Invest
II.2 Time to Build, Option Value, and Investment Decisions
II.3 Abandonment Value and Project Life
II.4 Irreversible Investment, Capacity Choice, and the Value of the Firm
II.5 The Nature of Options Interactions and the Valuation of Investments with Multiple Real Options

III. Analysis of application examples and case studies
III.1 Valuing Natural Resource Investments
III.2 Valuing Firm Strategy
III.3 Valuing Investment in Technological Innovations
III.4 Valuing a Research and Development Program
III.5 Valuing energy sector investments
III.6 Valuing Infrastructure Investment
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INVESTMENT ANALYSIS
Lecturer:
Jorge Miguel de Oliveira Sá e Cunha

Syllabus:
1. Introduction to financial theory.
2. Analysis of financial investment.
2.1 Instruments and financial markets
2.2 Equilibrium models of financial assets
2.3 Investment strategies
2.4 Performance evaluation of portfolios
3. Analysis of real investment.
3.1 A project’s discount rate
3.2 The project’s cash flows
3.3 Capital budgeting techniques
3.4 Interaction of projects
4. Analysis of the financial policy
4.1 Sources of financing
4.2 The capital structure: theory
4.3 The capital structure: practice
5. Financial options.
5.1 Basic Definitions
5.2 Options markets
5.3 Strategies for options use
5.4 Options valuation
6. Application examples.
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PERFORMANCE ASSESSMENT SYSTEMS
Lecturer:
Sérgio Dinis Teixeira de Sousa

Syllabus:
1) Introduction to PMS: definitions, traditional and nontraditional PMs, importance and barriers associated with performance measurement, from performance measurement to performance management, integration with other systems.
2) PMS: balanced scorecard, performance prism, EFQM, Kanji’s excellence business model; PMs relations’ with strategic alignment; PMs cause and effect relationships; relations with requirements of the ISO 9001:2008 standard.
3) PMS Design: strategy, goals and current status of the system, top-down approaches, bottom-up and inside-customer, the performance measure record sheet; goals definition and decomposition, responsibilities, improvement actions.
4) Review of the SMD; the relevance of the measures for decision making; uncertainty in performance measures.
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QUALITY MANAGEMENT
Lecturer:
Sérgio Dinis Teixeira de Sousa

Syllabus:
Quality: concept, perspectives and dimensions. Quality Function: main activities and interconnections. Total Quality Management: principles, philosophy and contributions of gurus. Excellence Models (EFQM and PEX). Quality circles. Quality costs.
Quality improvement programs: methodology and basic tools. Management and Leadership Workshops (Teamwork). QFD elements. Introduction to the study of the ISO 9000 family of standards.
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STATISTIC PROCESS CONTROL
Lecturer:

Sérgio Dinis Teixeira de Sousa

Syllabus:
Fundamentals of statistical process control.
Control charts for variables. Process control and capability indices.
Attributes control charts: p, np, c and u.
Process control and capability. Special cases. Efficiency of graphs. Capability of inspection. Cusum and EWMA charts.
Process Control Planning.
Special charts: individual values and moving ranges, charts with a linear trend in average, charts with stratified samples, Acceptance charts. Short run SPC. R&R studies.
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MULTICRITERIA ANALYSIS APPLIED TO ENERGY AND ENVIRONMENTAL PLANNING
Lecturer:
Anabela Pereira Tereso

Syllabus:
1. Introduction to Multicriteria Decision Making (MCDM)
a) Introduction to MCDM
b) Alternatives, Criteria and Attributes, Objectives
c) Basic approaches to MDCM

2. Multicriteria methods and tools
a) Introduction
b) AHP – Analytical Hierarchy Process
c) ELECTRE
d) PROMETHEE

3. Sustainable energy planning
a) Introduction and definition
b) Energy planning models

4. Multicriteria for energy and environmental planning
a) The social and environmental dimensions as decision variables.
b) Application of the methods and specific software to selected case studies.
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DECISION ANALYSIS MODELS AND METHODS
Lecturer:
Anabela Pereira Tereso

Syllabus:
Parte I - Stochastic Decision Models
1. Introduction to decision analysis
2. Elements of a decision problem
3. Structuring decisions
4. Making choices

Parte II - Multicriteria Decision Models
1. Introduction to MultiCriteria Decision Making (MCDM)
2. Decision maker preferences
3. Multicriteria value functions
4. Analytical Hierarchy Process (AHP)
5. Outranking Methods
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RESOURCE ALLOCATION IN PROJECT MANAGEMENT
Lecturer:

Anabela Pereira Tereso

Syllabus:
Chapter 1: Introduction
1. Activity networks (AoA and AoN).
2. Types of resources.
3. Projects scheduling problems and methods.

Chapter 2: Temporal scheduling
1. Early Start Schedule and Late Start Schedule.
2. Uncertainty in activity durations.
3. Project planning Software.
4. The resource allocation issue.

Chapter 3: The resource-constrained project scheduling problem (RCPSP)
1. Problem formulation
2. Exact procedures.
3. Heuristic procedures.
4. Problem extensions.

Chapter 4: Advanced topics of resource allocation
1. The multimode resource allocation problem.
2. The resource complementarity allocation problem.
3. The multi-mode, multi-skill resource constrained project scheduling problem.

Chapter 5: Project scheduling under uncertainty
1. Risk management.
2. Stochastic scheduling.
3. Proactive/reactive scheduling.
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NONLINEAR OPTIMIZATION
Lecturer:
Ana Maria Alves Coutinho da Rocha

Syllabus:
1. Classification of problems. Optimality conditions.
2. Direct search methods.
3. 1st and 2nd order gradient methods.
4. Sequential quadratic programming methods.
5. Modeling optimization problems.
6. Use of software.
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MODELING AND NONLINEAR OPTIMIZATION
Lecturer:
Ana Maria Alves Coutinho da Rocha

Syllabus:
1. Introduction to Nonlinear Optimization.
2. Unconstrained optimization: Optimality Conditions; Line search methods; Gradient-based methods.
3. Nonlinear Constrained Optimization: Optimality conditions; Line search, trust-region, merit function  and filter methods; Penalty, Barrier, and Augmented Lagrangian Methods; Sequential Quadratic Programming.
4. Mathematical problems modeling.
5. Use of Matlab packages for solving nonlinear optimization problems.
6. AMPL Modeling language for mathematical programming and interface to NEOS Server.
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QUALITY MANAGEMENT SYSTEMS IMPLEMENTATION AND CERTIFICATION
Lecturer:
Paulo Alexandre da Costa Araújo Sampaio

Syllabus:
Fundamentals, definitions and concepts in the context of management systems. Motivations, benefits and barriers associated with the implementation of QMS. Impact of QMS in organizational performance. The ISO 9001:2008 standard. Management systems integration. Implementation of quality management systems. Methodologies audit management systems.
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STATISTICS
Lecturer:
Celina Maria Godinho da Silva Pinto Leão

Syllabus:
Confidence intervals for the mean, difference between means, variance, variance ratio, proportion and difference between proportions.
Statistical hypothesis testing. Testing for a sample population mean and the difference between two populations means.
Non-parametric inferencial statistical methods. Wilcoxon test, Wilcoxon-Mann-Whitney, Kruskal-Wallis, Friedman test.
Hypothesis Testing for a proportion and the difference between proportions.
Chi-Square and Tests of Contingency tables, the test of independence.
Goodness of Fit Test. Chi-square for large samples, Kolmogorov-Smirnov tests for small samples, Lilliefors test for Normal, Lilliefors test for the exponential.
Test for the distributions Smirnov tests.
Hyphthesis Testing on the variance and variance ratio.
Regression and Correlation Analysis. Spearman test. Analysis of simple and multiple linear regression.
Introduction to SPSS (StatisticalPackage for Social Sciences). Use of EXCEL (Data Analysis solver). Exercises.
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FORECASTING TECHNIQUES
Lecturer:
Manuel Carlos Barbosa Figueiredo

Syllabus:
Introduction to forecasting in organisations. An overview of forecasting techniques.
Quantitative forecasting methods: Decomposition methods. Exponential smoothing.
ARIMA (Box–Jenkins) models. Regression. Monitoring. Expert judgment in forecasting.
Evaluation of forecasting methods. Choosing forecasting software.
Reseach and development of new forecasting models.
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DISTRIBUTION MANAGEMENT
Lecturer:
Maria do Sameiro Faria Brandão Soares de Carvalho

Syllabus:
Logistics: From physical distribution to Supply Chain Management. Objectives and Principles. Distribution models,. Warehousing and inventories management. Transportation management. Simulation of the Supply Chain.Case Studies.
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SIMULATION
Lecturer:
Guilherme Augusto Borges Pereira

Syllabus:
Introduction to Simulation. Discrete Event Simulation. Event World View. Activity World View. Process World View. Introduction to a modeling-driven Simulation Tool - Visio Basic for Simulations (VBS). Randomness and Simulation. Random Numbers Generation. Random Tests. Random Variables Generation – different Statistical Distributions. Statistical considerations. Introduction to a professional simulation Tool - ARENA.
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INDUSTRIAL HYGIENE
Lecturer:
Pedro Miguel Ferreira Martins Arezes

Syllabus:
Industrial Hygiene and Occupational Control atmospheres
Biological contaminants
Chemical contaminants
Occupational Thermal environments
Occupational exposure to vibration
Occupational exposure to radiation
Occupational noise exposure and hearing protection
Lighting and visual ergonomics
Environmental aspects associated with water
Integrated Management Systems
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INDUSTRIAL HYGIENE I
Lecturer:
Pedro Miguel Ferreira Martins Arezes

Syllabus:
Industrial Hygiene and Occupational Control atmospheres
Biological contaminants
Chemical contaminants
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INDUSTRIAL HYGIENE II
Lecturer:
Pedro Miguel Ferreira Martins Arezes

Syllabus:
Occupational Thermal environments
Occupational exposure to vibration
Occupational exposure to radiation
Occupational noise exposure and hearing protection
Lighting and visual ergonomics
Environmental aspects associated with water
Integrated Management Systems
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ERGONOMICS
Lecturer:
Pedro Miguel Ferreira Martins Arezes

Syllabus:
Introduction and main objectives of ergonomics.
Ergonomic Approach of work systems: communicate the importance of man-machine interface.
Applied anthropometrics and anthropometric data.
Applied biomechanics and manual material handling risk assessment.
Work physiology.
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SUPERVISION AND CONTROL OF INDUSTRIAL PROCESSES
Lecturer:
Rui Manuel Alves da Silva e Sousa

Syllabus:
Introduction to production systems and lean production: Factors of production and products; production processes; lean production. Supervision and control of production processes: Elements of automation; Lean mechanisms for processes' improvement: Intelligent automation (autonomation / jidoka); Quick changeover of equipment (SMED); error-proof devices (poka-yoke); Low cost automation. Labview development platform: Features and capabilities; Application examples in supervision and control.
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LEAN PRODUCTION SYSTEMS
Lecturer:
José Dinis de Araújo Carvalho

Syllabus:
Measuring the performance of a production system. Production Dynamics. History of lean manufacturing. Principles of TPS. Concept of waste. The seven types of waste. Concept of takt time and cycle time. Little's Law. Value Stream Mapping. Methodology for Identifying Waste (WIM). Production cell designs. Operating Modes and versatility in production cells. 5S technique. Standard Work. 5 Whys technique. Kanban and pull production. Supermarkets and Mizusumashi. Reducing setup times. Production leveling. Continuous improvement.
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OPERATIONS MANAGEMENT
Lecturer:
José Dinis de Araújo Carvalho

Syllabus:
- Introduction to operations management and tis general concepts.
- Integrated logistics.
- Methodologies of Analysis for logistics systems.
- Design / redefinition of logistics systems;
- Distribution Management;
- Orders management and storage;
- Transport Management and Planning;
- Introduction to production systems and production performance measures;
- Introduction to Production Planning and Control
  • Aggregate Production Planning
  • Master Production Scheduling
  • Material and Capacity Requirements Planning
- "Just-In-Time" Concepts and Strategies and Lean production.
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STATISTICAL TECHNIQUES FOR QUANTITATIVE RESEARCH
Lecturer:

Cristina Maria dos Santos Rodrigues

Syllabus:
- Quantitative research process and methods. Design of questions and answers. Concepts of measurement quality. Analyzing quantitative data. Using statistical models to test research questions. Examining relationships, differences and trends using statistics. Introduction to multivariate statistics. Using SPSS for quantitative analysis.
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PRODUCTION INFORMATION SYSTEMS
Lecturer:
Paulo Jorge de Figueiredo Martins

Syllabus:
Production Planning and Control Systems and Generic Architectues and requirements of Information Systems in  manufacturing organizations. Emerging Production paradigms, goals and IT requirements: Mass Customization and Customer Oriented Production Systems. Challenges for Data Management associated with High-Variety Production Systems.Generic systems for Product Data Management ,  Engineering Change Control, Costumer order processing, Product Costing, Material and Capacity Requirements Planning and Inventory Control in high-variety Production Systems. Manufacturing execution systems: production activity control, scheduling, traceability management, wip monitoring, resources setup and configuration in high-variety Production Systems
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OCCUPATIONAL SAFETY
Lecturer:
Isabel Maria Pereira Leite de Freitas Loureiro

Syllabus:
Safety of machines.
Legislation.
Accidents at work.
Risk Assessment.
Fundamentals of Occupational Safety.
Causality models of accidents at work.
Statistics of accidents.
Concept of causal tree.
Individual protective equipment.
Organization of Occupational Safety and Health Activities.
Legislation.
Management systems for Occupational Safety and Health
Legislation and Safety in Construction
Electrical risks
Human factor analysis. Human error in accident causality.
Prevention and fire protection.
Risks associated with machines, tools and loads.
Reparation of work accidents and occupational diseases.
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NUMERICAL SOLUTION OF PARTIAL DIFFERENTIAL EQUATIONS
Lecturer:

Senhorinha de Fátima C F Teixeira

Syllabus:
Partial differential equations (PDE). Boundary conditions problems in 2D: elliptic equations. Formulation of the finite volume method. Meshes study. Mesh generation. Unstructured grids. Solving algebraic systems resulting of the discretization. Nonstationary problems: 1D and 2D parabolic equations. Problems of pre and post processing. Formulation of the finite element method. Interpolation and shape functions. Examples of applications in various fields of engineering. Use of specific software (commercial and open access).
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NUMERICAL SOLUTION OF ODE AND DAE
Lecturer:
Celina Maria Godinho da Silva Pinto Leão

Syllabus:
Ordinary differential equations (ODE). Time integration: explicit and implicit schemes. Adaptive control of integration error. Numerical methods of integration in space: problems of boundary conditions.
Definition of differential algebraic equations (DAE). Concept Index. DAE function of time. Nonlinear systems. Application of multiple step methods. Study of convergence. Application of Methods of One Step. Systems of linear coefficients. Nonlinear systems of index one. Nonlinear systems in semi-explicit index two. Extrapolation methods.
DAE resulting from partial differential equations and algebraic (PDAE).
Applications in various fields of engineering. Specific algorithms and software (commercial and open access) to ODE/DAE.
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COMPUTATIONAL TOOLS IN MVF AND FEM
Lecturer:
Senhorinha de Fátima C F Teixeira

Syllabus:
Introduction to simulation software for engineering problems. Geometry definition, mesh and the physical parameters. Definition of initial and boundary conditions. More appropriate numerical solution of conservation equations. Post processing and physical interpretation of obtained results. Use of CFD software to solve the final project.
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VIRTUAL ENTERPRISES
Lecturer:
Goran Putnik

Syllabus:
Motivation for new enterprise organizational models, namely Virtual Enterprises. Characterization of Virtual enterprise: functionalities, architectures, required resources (inter-enterprise processes, inter-enterprise integration, collaborative networks of enterprises, dynamic reconfigurability of virtual enterprises, Market of Resources, brokering, virtuality, B2B e-marketplaces, B2B services). Legal requirements, legislation and integration security of virtual enterprises (inter-enterprises). Knowledge management, trust management and intellectual and industrial property. Accountability of virtual enterprises. Virtual Enterprise design: model specification, infrastructures, service integration.
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CONCURRENT AND COLLABORATIVE ENGINEERING
Lecturer:
Goran Putnik

Syllabus:
Introduction. Historic development and classification of Simultaneous Engineering (SE), Concurrent Engineering (ConE) and Collaborative Engineering (ColE) [C&CE]. C&CE theretical framework: abstraction levels and organizational semiotics. ConE principles, definitions and benefits. ConE for products, manufacturing processes, business processes and organizations. ConE reference model. ConE non-formal and formalized (process based) models. Tools and technologies for ConE: DFM, DFA, DFx concepts; geometrical, design and technological “patterns”, pattern recognition and mapping; work groups, conflict resolution and management; negotiation protocols; videoconferencing and CSCW; QFD; knowledge engineering and management; artificial intelligence. ColE principles, definitions and benefits. Learning models. Chaos and Complexity management in organizations. Tools and technologies for ColE. C&CE in inter-enterprise networks and virtual enterprises. C&CE advanced models. C&CE implementations. Case studies.
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CHAOS AND COMPLEXITY MANAGEMENT IN ORGANIZATIONS
Lecturer:
Goran Putnik

Syllabus:
Introduction: Relevance of the discipline and meta-theoretical framework for research, development and implementation of chaos and complexity (C&C) management in organizations. Definitions of C&C. Domains of C&C management in organizations. Meta-models and corresponded C&C management instruments: System complexity, Learning Organization, Organizational Semiotics, Chaordic Systems Thinking (CST). C&C Management/CST in modern manufacturing systems and organizations. Case studies. Some research issues or phenomena to be addressed.
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ADVANCED NETWORKED AND VIRTUAL ORGANIZATIONS
Lecturer:
Goran Putnik

Syllabus:
Introduction: Requirements and research, development and implementation framework for advanced networked and virtual organizations (NVO). NVO definitions and economic effects of networks. Enterprise networks and social networks models and management: reconfigurable supply-chains, extended and virtual enterprise, product-service systems, agile enterprise, crowd outsourcing, BM virtual enterprise, community based manufacturing. Network theory. Advanced instruments for networking and virtuality implementation support and modeling of NVO: A) computational paradigms and architectures –  open architectures, web services, distributed and parallel systems, internet of things, ubiquitous, grid and cloud computing and models; B) communicational paradigms – semiotics based integration of NVO. Complexity management in NVO. Case studies. Some research issues or phenomena to be addressed.
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MANUFACTURING SCHEDULING PROBLEMS AND ALGORITHMS (MSPA)
Lecturer:
Maria Leonilde Rocha Varela

Syllabus:
1. Fundamentals of Manufacturing Scheduling problems (MS)
2. Fundamentals MS Methods
3. Fundamentals MS Systems
4. Association of methods to solve different kind of MS problems.
5. Classification and comparative analysis of different kind of MS approaches.
6. MS problems solving: case studies
6.1 Specification and classification of MS problems
6.2 Searching for MS methods for solving problems identified in 6.1
6.3 Apply some MS methods, according to 6.2
6.4 Comparative analysis between different approaches, according to the results obtained in 6.4.
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LEAN IMPLEMENTATION IN HEALTHCARE SERVICES
Lecturer:
Anabela Carvalho Alves

Syllabus:
The implementation of Lean in health care services follows the principles of Lean Thinking and tools. These principles applied in health are: Value - centered in the patient's health, effective, safe, on time, efficient and equitable; Value Stream - no waste, no waste of time; Flow - patients flow; Pull System - deliver when and where needed; Pursue perfection - making visible imperfections and continuous improvement. The basis of these principles in health care services is the respect for the patient as a customer of a service. To achieve these principles will be used the same tools they use in an industrial environment in the implementation of Lean Production: process mapping (VSM applied to clinical processes), process analysis and sequence diagrams; 5Why; 5W2H; cause-effect diagrams and matrices of cause and effect; spaghetti diagrams; histograms; checklists; 8 Wastes; Pareto analysis; 6S; PDCA; Visual management; Six- sigma; A3 tool; takt time vs. cycle time; Little's Law; SMED; jidoka; poka-yoke mechanisms; pull system using Kanban system; skills and training matrix; information and communication standard; standardized work and standardization of procedures and forms; training of multidisciplinary and integrated teams; implementation and standardization of short meetings of multidisciplinary teams, Single Piece Flow; concept of Office Cells applied in health care services, Total Productive Maintenance and Theory of Constraints.
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ENGINEERING AND INDUSTRIAL MANAGEMENT WEB SERVICES (EIMWS)
Lecturer:
Maria Leonilde Rocha Varela

Syllabus:
1. Fundamentals of web technologies and standards (HTML, communication protocols, etc.).
2. Fundamentals of XML and related Technologies.
3. Fundamentals of Web Services.
4. Integration of technologies for developing Web Services for Engineering and Industrial Management.
5. Use of Engineering and Industrial Management Web Services. Case studies.
6. Web services development:
6.1 Specification of Engineering and Industrial Management knowledge
6.2 Specification and development of user interfaces
6.3 Use of Web tools and communication protocols for Web Services invocation.


 
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