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Introduction to the Six Sigma Quality System. "The Quality of Management vs. The management of Quality". Key Concepts of the Six Sigma System. The Six Sigma Improvement Process. Six Sigma Basic Tools. Effects of variability in the quality of a Process. Analysis of the measurement system. Application of Yield and Sigma Levels. Use and limitations of Experimental Design as part of the Six Sigma methodology. Six Sigma Application Project.

CAMPUS: CDJ
ACADEMIC PERIOD: SPRING & FALL
LANGUAGE OF INSTRUCTION: SPANISH
MAJORS: IIS

Breyfogle, Forrest W., "Implementing Six Sigma: Smarter Solutions Using Statistical Methods". 1st edition. John Wiley & Sons, Inc., 1999

Rath & Strong's, "Six Sigma Pocket Guide". RATH & STRONG MANAGEMENT CONSULTANTS, a Division of Aon Consulting Worldwide, Sixth Printing, August 2001. ISBN 0-9705079-0-9
Pande, S. Peter et al., "The Six Sigma Way: How GE, Motorola, and Other Top Companies Are Honing Their Performance". 1st Edition. McGraw-Hill, 2000.
Deming, W. Edwards, "Out of The Crisis". 1st MIT Press edition. The MIT Press, 2000.
Eckes, George, "The Six Sigma Revolution". 1st edition, John Wiley & Sons, 2001 · Ryan, Thomas P. "Statistical Methods for Quality Improvement". 1st edition, John Wiley & Sons, 1989.

TEACHER'S PROFILE: Professor with master's and/or doctorate degree on Quality Systems or Industrial Engineering, with a bachelor's degree on Industrial Engineering or with a similar degree. Six Sigma certification required.

Academic department:Engineering and Architecture Department
Units:3-0-8
Requirement:None
Semester and career:7 IIS, 7 IME, 7 IMA, 7 IQA, 7 IQS, 7 IMT, 7 ARQ
Equivalence:None

General aim of the course:Provides the student with tools to develop energy audits at commercial and industrial business, considering the energy conservation on lighting systems, electric equipment, air conditioning, electric motors and thermal systems, such as the economic evaluation of the project.

Campus:Sonora Norte
Bibliography:Kreith, Frank and West, Ronald E. CRC Handbook of Energy
Efficiency. CRC Press, 1996.
Instructor's profile:Professor with master on engineering and
experience
in energy audits.
Language of Instruction:Spanish

Academic department:Industrial and Systems Engineering
Units:308
Requirement:None
Semester and career:Tòpic IIS, IMA, IQA,IQS
Equivalence: None

Design and implementation of Quality Management systems within organizations. Measures of Performance. Management Control Systems (Information systems management, balanced score card, Hoshin Kanri) Recent developments in ISO-9000 and Mexico's National Quality Award. Quality in Service industries. Processes of organizational change (motivation, change management and organizational culture)

Course Requirements: Prior knowledge and understanding of total quality management principles and Quality Systems Models (both in Mexico and abroad). Knowledge and understanding of International Quality Management Standards.

Campus:Monterrey
Bibliography:Selected readings Handbook. Improving your measurement of customer satisfaction. Terry G. Vavra. ASQ

Delivering quality service. Valerie Zeithaml, A Parasuraman & Leonard L. Berry. Free Press

Total Quality Service. DH Stamatis. St Lucie Press

Measuring and Managing customer satisfaction. Sheila Kessler. ASQ

Systems: concepts, methodologies & applications. Brian Wilson. Wiley

Instructor's profile:Master in Science in Industrial Engineering. Master in Science in Quality Management.
Language of Instruction: Spanish

(3-0-8. Requirement: To be enrolled in APICS 6 IIS, 6 IMA, 6 IQA). Equivalence: VA00801 Topics I

The student should understands the function of the supply chain and its relation with the systems of supplying, planning of the manufacture resource and the distribution of products, in addition to apply techniques and concepts for the added planning, master planning, detailed planning and control of the production activities and to know the relation with the just in time, quality total administration and the theory of constrains.

The professor must have at least a master in the area of industrial engineering, quality and productivity systems or management and he has to be certified as CPIM by the APICS .

Arnold , J.R. Tony, Introduction to Materials Management, Prentice Hall, 2nd. Edition, Printed in the United States of America

Participant Workbook, Basics of Supply Chain Management, APICS-The Educational Society for Resource Management, Printed in the United States of America .

Inventory Management: Order Planning and Customer Service. Information Used in the Material Planning Process. MRP Mechanics. Using MRP Outputs. The Detailed Capacity Planning Process. Capacity Mechanics. Establishing Relationships with Suppliers. Supplier Relationships and Procurement Plans . Textbook: Fogarty, D.W.;J.H. Blackstone Jr.; and T.R. Hoffman. Production and Inventory Management. 2nd ed. South-Western Publishing Co., 1991. APICS CPIM Detailed Scheduling and Planning Participant Guide, APICS, USA 2002.

OBJECTIVES: 1. Introduce the concept of supply chain and the elements associated with its proper management. 2. Understand how supply chain management is relevant to business strategy. 3. Identify the components of a supply chain. 4. Know approaches to supply chain management

SYLLABUS 1. The concept of supply chain. 2. Supply chains and business strategy. 3. Essentials of supply chains. 4. Analysis of supply chains.

Bibliography: 1. Laseter, Timothy M. Balanced Sourcing. Jossey Bass Publishers, 1998. 2. Simkin-Levi, David et al. Designing and Managing the Supply Chain. Irwin MacGraw-Hill, 1998. 3. Gaither, Norman. Production and Operations Management. Thompson Editors, 1999. 4. Sterman, John. Business Dynamics. Irwin MacGraw-Hill, 2000.

Professor background: Professor must be a graduate in industrial engineering or business administration. Relevant experience in the field of logistics and/or markting. Continuous education courses on logistics.

Scheduling Production and Process Operations. Authorizing, Execution, and Reporting Activities. Authorizing, Execution, and Reporting Activities for Pull Systems. Communicating Customer-Supplier Information and Controlling Resources. Quality and Continuous Improvement Initiatives. Quality Management Processes. Evaluating Performance of Production Operations. Textbook: Fogarty, D.W.;J.H. Blackstone Jr.; and T.R. Hoffman. Production and Inventory Management. 2nd ed. South-Western Publishing Co., 1991. APICS CPIM Execution and Control of Operations, Participant Guide, APICS, USA 2002.

(3-0-8, Requisite: being at 7th semester at least) Equivalence: None. Program: 7th. IIS

Objective: Global and local environmental trends; Beyond the limits of growth; Cleaner production in the industrial sector; Minimization Opportunities Environmental Diagnosis (MOED); Energy and water efficiency tools; Best practices for cleaner production; Cost benefit analysis as a decision making tool; ISO 14001 series overview: requirements, initial review, documentation of the EMS, internal environmental auditing, certification. Text: DAOM: diagnóstico ambiental de oportunidades de minimización. (la bibliografía es muy extensa, está pendiente trabajar en esta sección)

Teacher Profile: Industrial Engineer, Chemical Engineer or a similar Engineering, with Master in Clean Production, Environment Engineer or Environment Systems. Priority: with experience in productive companies or environment consultant.

(3-0-8, Requisite: being at 7th semester at least) Equivalence: None. Program: 7th. IIS

Objective: Background to ISO 9000, structure of ISO 9000: 2000, Quality Management System requirements, Quality Management System Documentation, Internal Audit - Methods and Tools, Steps of ISO 9000 Quality Management System Implemetation. Textbook: ISO 9000: 2000, Quality management systems- Fundamentals and vocabulary ;ISO 9001: 2000, Quality management systems- Requirements ; ISO 9004: 2000, Quality management systems- Guidelines for performance improvements Reference: ISO 9000: 2000, Quality management systems- Fundamentals and vocabulary ISO 9001: 2000, Quality management systems- Requirements ISO 9004: 2000, Quality management systems- Guidelines for performance improvements Web: www.iso.ch

Teacher Profile: B.A., Industrial Engineer with master and experience in Quality Systems.

Academic department: Industrial Engineering
Units: 3 0 8
Requirement: none
Equivalence: none
Semester and career: all

General aim of the course: Develop and implement an industrial reconversion plan to improve the competitiveness of the small and medium size companies, through the detection of internal and external weaknesses to accomplish to enhance its productivity, better its processes and decrease its cost.
At the end of the course, the participants will develop the ability the create and perform an diagnosis as well as to implement an action plan to solve different kinds of business dilemma. The participant will also grow positive attitudes, abilities and principles through team work in response to needs from its environment

Instructor's profile: Master or Doctor degree in engineering or management science. Have more than two years of professional experience
Language of Instruction: spanish

Academic department:Electrical and Electronics Engineering
Units:3-0-8
Requirement:In 00841, In00842
Semester and career:8 semestre IIS
Equivalence:None
General aim of the course:Understand issues in cost effective management or airline and airport operations. Understand the complexity of the logistics of the Airline industry, including filghts, airplane and crew scheduling, revenue management, loading optimization, safety issues. Understand the complexity of airport services including safety, takeoff and landing procedures from the queueing point, cargo, luggage and passenger management. General aviation procedures for air traffic control.

Campus:Cd. México
Bibliography:Airport Operations, Norman Ashford, H. P.Martin Stanton, Clifton A. Moore (Author) McGraw-Hill Professional; 2nd edition. 1996

Instructor's profile: Master or Ph.D. Industrial Engineering or Operations Research with academic and/or practical experience in the Airline and Airpport Operations Management

Academic department:Industrial and Systems Engineering
Units:3-0-8
Requirement:None
Semester and career: 8th semester B.Sc. Industrial and System Engineering
Equivalence:None
General aim of the course:To know a variety of artificial intelligence tools for its application in decision making and optimization process within the logistics realm.

To develop computer analytical an programming skills to be able to apply this techniques to practical logistics problems. To know the capabilities, benefits and costs of applying diverse artificial intelligence techniques.

Campus:Cd. México
Bibliography:[1] Stuart Russell, Meter Norvig, Artificial Intelligence: A Modern Approach, Prentice Hall, 2nd Edition,

[2] Michael Wooldridge, An introduction to MultiAgent Systems, John Wiley & sons, 2001.

Instructor's profile: Master in Science or Ph.D. in Industrial Engineering, Operations Research or Computer systems engineering, with a focus on Artificial Intelligence.

Academic department:Industrial and Systems Engineering
Units:308
Requirement : None
Semester and career:7
Equivalence: None
General aim of the course:
 Command the theory behind the practice of designing sustainable organizations.
 Capacity to foster change towards sustainability in the design of products, processes and systems under different organizational contexts.
 Awareness of the economic, social and environmental aspects of host organizations in professional life.

Campus:Monterrey
Bibliography:
There is no textbook, course literature will include reading assignments from books, journals, the virtual library catalog and other internet documents.

Instructor's profile:Combination of degrees in Environmental Science/Engineering/Policy/Management and Industrial & Systems
Engineering.
Work experience in non-academic organizations and ability to conduct applied research.
Language of Instruction:English

In95077 Mathematical modeling of logistic systems
Academic department that offers it: Ingeniería Industrial
Units (CLU): 3-0-8
Requirement: IN 00881
Semester and program where it is given: 7° IIS, IMA
Equivalence: none

General aim of the course:
This course introduces the student to optimization problems in logistics related to production processes, with different costs; such as: Production, set-up, inventory and transportation costs. The student is presented with a variety of mathematical modeling techniques, solution algorithms, and implementation strategies using specialized software. The treatment is mathematical, but keeping the practical point of view. Software tools are used throughout both at programming and user level.Textbook: Integer and Combinatorial Optimization. George L. Nemhauser and Laurence A. Wolsey. Wiley-Interscience Series in discrete Mathematics and Optimization. (1999). Reference: Logistics of Production and Inventory: Handbooks in Operations Research and Management Science. S. C. Graves, A.H. G. Rinnooy and P.H. Ziplkin. North-Holand.
Practical Optimization Methods with Mathematica Applications. M. Asghar Bhatti. Springer Telos Editor.

Bibliography:
i. Integer and Combinatorial Optimization. George L. Nemhauser and Laurence A. Wolsey. Wiley-Interscience Series in discrete Mathematics and Optimization. (1999).
ii. Logistics of Production and Inventory: Handbooks in Operations Research and Management Science. S. C. Graves, A.H. G. Rinnooy and P.H. Ziplkin. North-Holand.
iii. Practical Optimization Methods with Mathematica Applications. M. Asghar Bhatti. Springer Telos Editor.
iv. Deterministic Scheduling Theory. R. Gary Parker. Chapman & Hall Editors (1995).
v. Scheduling: Theory, Algorithms, and Systems. Michael Pinedo. Prentice Hall (1995)
vi. Combinatorial Optimization. Nicos Christofides, Aristide Mingozzi and Claudio Sandi. John Wiley & Sons.

Instructor's profile:
Professor Profile: Ph.D. in Industrial Engineering, Operations Research or Mathematics

Academic department:Industrial and Systems Engineering Department
Units:3-0-8
Requirement:IN00-862
Semester and career:7th semester IIS
Equivalence:None
General aim of the course:The student should recognize and analyze the facilities and operations of maritime logistic terminals. The student should recognize ports as a system and as an integral part of a larger system, the national and international logistic operations. Emphasis should be given to cargo handling, layout, efficiency, safety, ship management, ecology, layout design, and strategic and operations planning. Benchmarking with “state of the art” ports should be provided in order to promote the development of competitive maritime operations.
Campus:Cd. México
Bibliography:Ingeniería Marítima y Portuaria
Macdonel, G. et.al. Alfaomega Grupo Editor. 1999

Instructor's profile:Degree in Industrial Engineering, with masters in logistics, industrial engineering or significantly equivalent profesional experience in the field.
Language of Instruction:Spanish

Academic department:Industrial and Systems Engineering Department
Units:3-0-8
Requirement: IN95077
Semester and career: 7th semester IIS
Equivalence:none
General aim of the course:Introduce the student to the optimization modeling solution through mathematics, and the use of computer tools for solving real world problems. Emphasis is made to the adequate algorithm development for different problem structures
Campus:Cd. México
Bibliography: I. Integer and Combinatorial Optimization. George L. Nemhauser and Laurence A. Wolsey. Wiley-Interscience Series in discrete Mathematics and Optimization. (1999).
II. Logistics of Production and Inventory: Handbooks in Operations Research and Management Science. S. C. Graves, A.H. G. Rinnooy and P.H. Ziplkin. North-Holand.
III. Netwok Models. M.O. ball, T.L. Maganatti, G- L- Nemahuser and C. L: Monma. Editorial North-Holland, Vol 7.
IV. Practical Optimization Methods with Mathematica Applications. M. Asghar Bhatti. Springer Telos Editor.
V. Combinatorial Optimization. Nicos Christofides, Aristide Mingozzi and Claudio Sandi. John Wiley & Sons.

Instructor's profile:Ph.D in Industrial Engineering focused in Operations Research or Ph.D. in Applied Mathematics to Industry problems
Language of Instruction: spanish

In95896 SAP & supply chain logistics management
Academic department:Industrial Engineering
CLU:3-0-8
Requirement:None.
Semester and career:6 IIS, 6 LSCA, 6 LAE, 6 LIN, 6 LEM
Equivalence:None.
General aim of the course:Introduction to Supply Chain Management (SCM), logistics and SCM, what is an ERP, SCM software suppliers, SAP and SCM, introduction to SAP, navigation on SAP, business information warehouse (SAP BW), ASAP, communication and integration technologies, production planning, external supply process, purchasing process overview, sales and distribution process, sales and distribution process overview, make to order, returns and payments process management, reports and commercial process analysis.

Bibliography:Introduction to Supply Chain Management (SCM), logistics and SCM, what is an ERP, SCM software suppliers, SAP and SCM, introduction to SAP, navigation on SAP, business information warehouse (SAP BW), ASAP, communication and integration technologies, production planning, external supply process, purchasing process overview, sales and distribution process, sales and distribution process overview, make to order, returns and payments process management, reports and commercial process analysis.

Instructor's profile:Industrial Engineer or Bachelor of Business Administration with master degree in Quality and Productivity Systems, Marketing or MBA, also the teacher should be trained in SAP modules about planning, supply, sales and distribution of materials.

Language of Instruction:spanish