Operations and value chain optimization

Recommended Prerequisites

Not applicable.

Teaching Methods

The fundamental contents will be addressed in face-to-face and/or online classes, and as much as possible using a flipped classroom strategy (previous study at home followed by classes of discussion and synthesis; therefore, annex I only predicts tutorial guidance (OT) hours). Contents will be accompanied by illustrative examples, their solution using GAMS computational platform and proposed homework exercises. Trainees will then be guided in carrying out a small project. Evaluation will be based on homework assignments (50%) and the final project (50%).

Learning Outcomes

Understand the variety and hierarchy of optimization problems in the manufacturing industry and services, at different temporal and spacial scales; known the fundamentals and tools needed to mathematically formulate and solve those problems (continuous and discrete optimization, network models); be able to formulate and solve several particular problems (design and operation of single or multiple units, production planning and scheduling, design and operation of the value chain).

Work Placement(s)

No

Head Lecturer(s)

Fernando Pedro Martins Bernardo

Assessment Methods

Assessment
Evaluation will be based on homework assignments (50%) and the final project (50%): 100.0%

Bibliography

Stevenson, W. Operations Management. 14th ed. New York: McGraw-Hill; 2021

Williams HP. Model Building in Mathematical Programming. 5th ed. Chichester: John Wiley & Sons; 2013.

Winston WL. Operations Research: Applications and Algorithms. 4th ed. Belmont, CA: Thomson Learning; 2004.

Chen DS, Batson RG, Dang Y. Applied Integer Programming. New York: John Wiley & Sons; 2010.

Edgar TF, Himmelblau DM, Lasdon LS. Optimization of Chemical Processes. 2nd ed. Boston: McGraw-Hill; 2001.