The Doctorate in Industrial Engineering responds to the need to have suitable and highly qualified professionals, appropriate for carrying out research and technological development, and with the ability for multidisciplinary work.
When finishing their studies, the graduate of the Doctorate in Industrial Engineering will be able to take upon a tactically important position for the research and solution of industrialist problems, with a capacity for the formulation and solution of enterprise organizations' problems
Technological Innovation Management Process
Strategic Assessment of thinking of operations. Process Studies integrating the three functions of operations: Planning, Organization and Control in the context of models of technological innovation. Use Cases Technological innovation of industrial enterprises using PUSH and PULL methodology. Analysis of operational and strategic variables based on models of good practice and benchmarking.
Thesis I
After completing this course, students must defend their thesis proposal to your advisor. This course will complement the scientific research methodology.
Design of Experiments
Elements of matrix algebra. Randomization. Analysis of variance in one direction and in two senses. Lock. Reply. Latin squares. Incomplete block design.
Doctoral Thesis II
The aim of this course is for students working on their thesis dissertation topic and have solid progress in the same at the end of the course.
Thesis III
The aim of this course is that students work on their thesis topic and have solid progress in it. Upon completion, students should be ready to defend his doctoral thesis proposal before the thesis advisor, on public display.
Thesis IV
The aim of this course is that students finish their doctoral research. After completing this course, students must submit the thesis document and be ready to defend the thesis before the jury. The student must complete and submit an article, a product of her dissertation, to any scientific journal indexed.
Industrial Management
Is the application of strategic planning in the management of the company. Organization and management of a manufacturing company with a socio-technical organizational approach. Planning as an ongoing process.
Managing the Supply Chain
In this course the student will understand the importance of managing the supply chain through the study of concepts and their applications to various real life situations. It discusses some mathematical methods, targeted at different stages of the supply chain.
Industrial Logistics, Maintenance and Production Safety System
Inventory Management. Deterministic and probabilistic inventory. Maintenance models. Prevention of occupational hazards and industrial hygiene.
Business Effectiveness
Context of strategic business management. Simulation scenarios for achieving organizational objectives. Business intelligence. Strategic Systems value added (EVA).
Managing Geographic Information Systems
This course deals with specialized topics with the administration, operation and management of geographic information systems, teleprocessing and remote sensing tools applied to the design and location of the plant, quality control of products, etc..
Management and Industrial Pollution Control
This course is aimed at raising awareness of global environmental change. The risks involved in an imbalance of the planet. The importance of the diversity of life and the imperatives of living in accordance with the limits, emphasize the proper view graduates to meet the challenges of the XXI century. It emphasizes aspects of economic development and sustainability.
Manufacturing Systems
The course is aimed at the management team and modern manufacturing techniques, covers planning and design of an integrated manufacturing system, management of representative teams. Planning and control of manufacturing processes. Emphasis on concurrent engineering and technology groups.
Statistics, Nonparametric
Inference on measures based on ranks. U test Mann-Whitney. Sign test with Wilconxon ranges. Friedman test for randomized block experiments. Testing random number. Nonparametric regression models. Testing the goodness of fit for discrete data. Crosstabs. Analysis of association. Robust estimate.
Special Topics in Operations Research
Parametric linear programming. Troubleshooting dynamic programming.
Applicants have to submit the following documents to apply for the PhD in question
A photocopy of the diploma master degree awarded by a university or original certificate of having completed her graduate studies. For overseas graduates, will present the proper degree validated or recognized by the ANR (National Assembly of Rectors).
A photocopy of the diploma FEDAT master degree awarded by a university or original certificate of having completed her graduate studies. For overseas graduates, will present the proper degree validated or recognized by the ANR (National Assembly of Rectors).
A set of original certificates of graduate study or photocopies FEDAT by the university of origin.
A notarized photocopy of National Identity Document (DNI).
Receipt of payment for original registration fee.
Evidence proving the knowledge of a foreign language, granted by the Department of Linguistics UNMSM or EPG.
01 passport photographs or passport, front and without glasses. On the back it should be noted the name of the individual and the code you are applying doctorate.
Payments are made in the Office of Economics at the School of Industrial Engineering, or placing deposits UNMSM Dollars in Savings Account No. 000270016684 Bank Financial on behalf of the Industrial Engineering Faculty of San Marcos University.
