Gestão da Produção

Base Knowledge

Organizacional Management
MS-Excel

Teaching Methodologies

– Lectures to present the concepts, models and procedures of the syllabus, with the support of Powerpoint.
– Problem solving classes, with analysis, formulation and solving of content application exercises with systematic use of MsExcel.
– Case discussion classes, with group work and extended discussion.

Learning Results

In specific terms, it is intended that, with this curricular unit, the student master the knowledge and tools necessary for the planning, programming and control of operations, in order to optimize industrial management.
The aim is to develop the ability to understand and apply complex models describing the planning and scheduling of production operations, as well as the following generic competences:
– Ability to apply acquired knowledge to solve new problems of increasing complexity in the area of Operations Management and Production Management
– Identify models and strategies applied in Production Management
– Identify and develop calculation tools for Inventory Management
– Identify and apply models and tools for Production Planning and Scheduling
– Capacity for lifelong learning in an autonomous manner
– Ability to communicate orally and in writing to different audiences

Program

1. Production and Operations Strategy
The Decision Process
From Enterprise Strategy to Functional Strategies
Competitive Priorities in Operations Strategy
From Strategy Models to Operations Strategy

2. Flexibility, Planning and Programming
Aspects Involved in Flexibility
Global Determinants and Framework for Flexibility
Direct Determinants of Flexibility
Flexibility, Planning and Programming

3. Concepts, Planning and Calculation of Capacity
Capacity Concepts and Calculation
Capacity Planning
Theory of Constraints
Capacity in Services

4. Implementation of Production Facilities (Layouts) and Multi-Criteria Analysis
Basic Layout Settings
Rational Procedure for Preparing layout (SLP)
Quantitative Methods in Layout Determination
Assembly Lines
Deployment and Material Handling

5. Aggregate production planning
The aggregate planning process, variables and costs
Basic techniques of aggregate production planning: adjustment of production by looking for changes in labor, extraordinary labor or dead time, inventory changes and subcontracting (simple and optimized)
Advanced models of aggregate planning: Holt’s linear decision rule, Bowman’s transport model, Goal Programming model, Vergin heuristic model, search decision rule, parametric production planning, heuristic model of production levels, and integrated production-marketing-finance model.

6. Inventory management
Characteristics, costs and classification of stocks.
Supply models with continuous demand: economical lot with instant replacement, with continuous replacement, with quantity discounts and with rupture
Supply models with discrete demand: periodic ordering, Silver-Meal, Periodic Amount (IPPA) and Wagner-Within algorithms.
Stochastic supply models and the security stock: random search and replacement period
Supply models by cyclical review.
Purchasing process: the buying cycle, trading and risk.

7. Schedule Operations
Sequencing with heuristics: simple and combined heuristic rules, performance-criteria evaluation
Complex heuristic algorithms
Dynamic programming
Methods of assignment: the Hungarian method
Programming with finite capacity
Programming in Continuous Environments:
Johnson algorithm, simple and global weighted flow rate

8.Materials Requirement Planning MRP / Just-in-Time
Materials Requirement Planning (MRP)
Capacity Programming
MRP and Programming Heuristics
Just-in-Time
Sequencing in JIT environment

9. Toyota Production System (TPS), 5S and 7S, 3Ms, JIT and Jidoka pillars, TPS House, Heinjuka, Gemba, OEE calculation, Kanban card calculation.

10. Lean Production and its tools: PDCA, SDCA, SMED, VSM, 6 Sigma, Taguchi Method; Andon, Spaghetti Diagram and visual production control systems.

Curricular Unit Teachers

Ana Carla Vicente Vieira

Grading Methods

The final classification for approval must be at least 9.5 values in one of the available alternatives:
=> Distributed/Continuous Assessment* (NFac)
or
=> Assessment exclusively by exam

==> The evaluation exclusively by exam results from the classification of a written test, with a maximum duration of 3 hours, evaluated at 20 points.

==> In the distributed/continuous assessment* there are two tests (Nt1 and Nt2) and a set of works/cases (Ntp) discussed in class. The classification by Distributed/Continuous Assessment (NFac) is calculated as follows:
NFac= 0.2 x Ntp + 0.4 x Nt1 + 0.4 x Nt2.
NFac > 9.5 out of 20 values.

* The continuous/distributed assessment regime requires:
- Minimum attendance of 70% in Theoretical classes and Theoretical-Practical classes;
- Minimum grade of 7 (out of 20) in the written tests;
- Mandatory presence of all elements of the group in the presentation and defense of the works;
- Group work is presented and defended in class;
- The dates of presentation and defense of the works are presented in class, in the first class of the semester.


    Internship(s)

    NAO

    Bibliography

    • Vieira, A. C.; Raposo, H. (2026). Support notes for classes; 4Ed.
    • Stevenson, W. J. (2021). Operations management (14th ed.). McGraw-Hill Education
    • Krajewski, L. et al. (2015). Operations Management: Processes and Supply Chains, 11ª Edição, Prentice Hall.
    • Krajewski, L.J., Ritzman, L.P. (1996). Operations Management, Addison-Wesley Publishing Company Inc.
    • Chase, Richard B. & Aquilano, Nicholas J. (1989). Production and Operations Management, Irwin.
    • Render, B., Stair, R.M. (1998). Quantitative Analysis for Management, Allyn an Bacon Inc.