Productions Management

Organizacional Management
MS-Excel

– 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.

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 the knowledge gained in solving new problems with increasing complexity;
– capacity for lifelong learning on an autonomous basis;
– Oral and written communication skills for different audiences.

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

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

4. Implementation of productive facilities
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
Approach Lean and JIT
Kanban and Visual Production Control Systems
Sequencing in JIT environment

• - Exame - 100.0%

• - trabalhos - 20.0%
• - testes (2) - 80.0%

NAO

VIEIRA, A. C. V., RAPOSO, H.; Support notes for classes; 2Ed; 2022.
STEVENSON, W. J.; Operations Management; 13th Ed, McGraw-Hill, 2018.
GOLDRATT, Eliyahu M., The Goal: A Process of Ongoing Improvement, Gower Publishing.
KRAJEWSKI, L.J., RITZMAN, L.P., Operations Management, Addison-Wesley Publishing Company Inc, 1996.
CHASE, R.B., AQUILANO, N., Production and Operations Management, Irwin, 1989.
RENDER, B., STAIR, R.M., Quantitative Analysis for Management, Allyn an Bacon Inc, 1998.