Anna University B.E Manufacturing Engineering Syllabus 2019 Regulation

Anna University Manufacturing Engineering 1st Sem Syllabus

Anna University Manufacturing Engineering 2nd Sem Syllabus

Anna University Manufacturing Engineering 3rd Sem Syllabus

Anna University Manufacturing Engineering 4th Sem Syllabus

Anna University Manufacturing Engineering 5th Sem Syllabus

Anna University Manufacturing Engineering 6th Sem Syllabus

Anna University Manufacturing Engineering 7th Sem Syllabus

Anna University Manufacturing Engineering 8th Sem Syllabus

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Wish you good luck!!!

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For Manufacturing Engineering 8th Sem scheme and its subjects, do visit Manufacturing 8th Sem 2019 regulation scheme. For Professional Elective-VII scheme and its subjects refer to Manufacturing Professional Elective-VII syllabus scheme. The detailed syllabus of decision support and intelligent systems is as follows.

Course Objective:

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Unit I

Introduction
Managerial decision making, system modeling and support – preview of the modeling processphases of decision making process.

Unit II

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Unit III

Technologies
Group support systems- Enterprise DSS- supply chain and DSS – Knowledge management methods, technologies and tools.

Unit IV

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Unit V

Semantic Networks
Representation in logic and schemas, semantic networks, production rules and frames, inference techniques, intelligent system development, implementation and integration of management support systems.

Course Outcome:

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Text Books:

1. Efraim Turban and Jay E Aronson, “Decision Support and Business Intelligent Systems”, PHI, Eighth edition, 2010.

References:

1. Elain Rich and Kevin Knight, “Artificial intelligence”, TMH,1993.
2. Mitra SS, “Decision support systems, tools and techniques”, John Wiley, 1996.

For detailed syllabus of all the other subjects of Manufacturing Engineering 8th Sem, visit Manufacturing 8th Sem subject syllabuses for 2019 regulation.

For all Manufacturing Engineering results, visit Anna University Manufacturing all semester results direct link.

For detailed syllabus of all the other subjects of Manufacturing 8th Sem, 2019 curriculum do visit Manufacturing 8th Sem subject syllabuses for 2019 regulation. For Manufacturing Engineering 8th Sem semesters scheme and subjects, refer to Manufacturing 8th Sem 2019 regulation scheme. The scheme details of Professional Elective-VII for Manufacturing 8th Sem is as follows.

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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In case of questions, don’t feel shy to leave a comment or leave feedback in the iStudy app for faster response.

For the results of Manufacturing Engineering 8th Sem, kindly visit Manufacturing 8th Sem direct results link.

For updated syllabus of Manufacturing Engineering (Manufacturing) 2019, kindly visit Manufacturing updated syllabus.

For exam time table of Manufacturing Engineering (Manufacturing), kindly visit Anna University exam timetables.

For Manufacturing Engineering (Manufacturing) notices, kindly visit Anna University notices.

Wishing you great luck ahead.

For Manufacturing Engineering 8th Sem scheme and its subjects, do visit Manufacturing 8th Sem 2019 regulation scheme. For Professional Elective-VII scheme and its subjects refer to Manufacturing Professional Elective-VII syllabus scheme. The detailed syllabus of machine learning algorithms is as follows.

Course Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Unit I

Concept Learning
A Concept Learning Task: Notation, The Inductive Learning Hypothesis,Concept Learning as Search, FIND-S: Algorithm for finding a Maximally Specific Hypothesis: Version Spaces and the CANDIDATE-ELIMINATION Algorithm; Convergence of CANDIDATE-ELIMINATION Algorithm to the correct Hypothesis; Appropriate Training Examples for learning; Applying Partially Learned Concept, Inductive Bias: A Biased Hypothesis Space; An Unbiased Learner; The Futility of Bias-Free Learning.

Unit II

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Unit III

Evaluating Hypotheses
Estimating Hypothesis Accuracy: Sample Error and True Error; Confidence Intervals for DiscreteValued Hypotheses. Basics of Sampling Theory: Error Estimation and Estimating Binomial Proportions; the Binomial Distribution; Mean and Variance; Estimators, Bias; and Variance; Confidence Intervals; Two-sided and one-sided bounds. A General approach for deriving confidence intervals: Central Limit Theorem. Difference in Error of two hypotheses; Hypothesis Testing. Comparing Learning Algorithms: Paired t Tests; Practical Considerations.

Unit IV

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Unit V

Computational Learning Theory
Introduction, probably learning an approximately correct hypothesis: The Problem Setting; Error of a Hypothesis; Learnability. Sample Complexity for Finite Hypothesis Spaces: Agnostic Learning and Inconsistent Hypotheses; Conjunctions of Boolean earnability of Other Concept Classes. Sample Complexity for infinite hypothesis spaces: Shattering a set of Instances; The Vapnik-Chervonenkis Dimension; Sample Complexity and the VC Dimension. The mistake bound model of learning: Mistake bound for the FIND-S Algorithm; Mistake bound for the HALVING Algorithm; Optimal Mistake Bounds; WEIGHTED-MAJORITY Algorithm.

Course Outcome:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Text Books:

1. Machine Learning by Tom M. Mitchell ,McGraw-Hill International Edition, 1997

For detailed syllabus of all the other subjects of Manufacturing Engineering 8th Sem, visit Manufacturing 8th Sem subject syllabuses for 2019 regulation.

For all Manufacturing Engineering results, visit Anna University Manufacturing all semester results direct link.

For Manufacturing Engineering 8th Sem scheme and its subjects, do visit Manufacturing 8th Sem 2019 regulation scheme. For Professional Elective-VII scheme and its subjects refer to Manufacturing Professional Elective-VII syllabus scheme. The detailed syllabus of principles of computer integrated manufacturing systems is as follows.

Course Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Unit I

Gt and Fms
Part families, production flow analysis, cellular manufacturing, ROC, Flexible manufacturing systems- components, FMS applications, FMS analysis – Bottleneck model.

Unit II

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Unit III

Manufacturing Support Systems
Product design and CAD, CAD/CAM and CIM, Computer aided process planning- Variant and generative approaches, Concurrent engineering and design for manufacture, Lean production, Agile manufacturing.

Unit IV

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Unit V

Database and Cim Management
Manufacturing data, database technology, Database management, Management of CIM – role, cost justification, expert systems

Course Outcome:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Text Books:

1. Mickel P Groover, “Automation production systems and computer integrated manufacturing”, PHI, second edition, 2008.

References:

1. Kant Vajpayee S, “Principles of Computer-Integrated Manufacturing”, PHI, 2005.

For detailed syllabus of all the other subjects of Manufacturing Engineering 8th Sem, visit Manufacturing 8th Sem subject syllabuses for 2019 regulation.

For all Manufacturing Engineering results, visit Anna University Manufacturing all semester results direct link.

For Manufacturing Engineering 8th Sem scheme and its subjects, do visit Manufacturing 8th Sem 2019 regulation scheme. For Professional Elective-VII scheme and its subjects refer to Manufacturing Professional Elective-VII syllabus scheme. The detailed syllabus of entrepreneurship development is as follows.

Course Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Unit I

Entrepreneurship
Entrepreneur – Characteristics – Types of Entrepreneurs – Difference between Entrepreneur and Intrapreneur – Role of Entrepreneurship in Economic Development – Factors Affecting Entrepreneurial Growth – Economic, Non Economic, Government Actions.

Unit II

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Unit III

Business
Small Enterprises – Definition, Characteristics, Project Identification and selection – Project Formulation: Significance, content, formulation of project report – Project Appraisal: Concept and method – Ownership Structures: Selection and Pattern.

Unit IV

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Unit V

Support To Entrepreneurs
Sickness in small Business: Concept, Signals, Symptoms, Magnitude, Causes and Consequences, Corrective Measures – Government Policy for Small Scale Enterprises – Growth Strategies in Small Scale Enterprise – Institutional Support to Entrepreneurs: Need and Support -Taxation Benefits to Small Scale Industry: Need, Depreciation, Rehabilitation, Investment.

Course Outcome:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Text Books:

1. S.S.Khanka, “Entrepreneurial Development” S.Chand& Co. Ltd. Ram Nagar New Delhi,1999.
2. Kurahko&Hodgetts, ” Entrepreneurship – Theory, process and practices”, Thomson learning 6th edition.

References:

1. Charantimath, P. M., Entrepreneurship Development and Small Business Enterprises, Pearson, 2006.
2. Hisrich R D and Peters M P, “Entrepreneurship” 5th Edition Tata McGraw-Hill, 2002.
3. Mathew J Manimala,” Entrepreneurship theory at cross roads: paradigms and praxis” Dream tech, 2nd edition 2006.
4. Rabindra N. Kanungo, “Entrepreneurship and innovation”, Sage Publications, New Delhi, 1998.
5. Singh, A. K., Entrepreneurship Development and Management, University Science Press, 2009.

For detailed syllabus of all the other subjects of Manufacturing Engineering 8th Sem, visit Manufacturing 8th Sem subject syllabuses for 2019 regulation.

For all Manufacturing Engineering results, visit Anna University Manufacturing all semester results direct link.

For detailed syllabus of all the other subjects of Manufacturing 8th Sem, 2019 curriculum do visit Manufacturing 8th Sem subject syllabuses for 2019 regulation. For Manufacturing Engineering 8th Sem semesters scheme and subjects, refer to Manufacturing 8th Sem 2019 regulation scheme. The scheme details of Professional Elective-VI for Manufacturing 8th Sem is as follows.

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
.

In case of questions, don’t feel shy to leave a comment or leave feedback in the iStudy app for faster response.

For the results of Manufacturing Engineering 8th Sem, kindly visit Manufacturing 8th Sem direct results link.

For updated syllabus of Manufacturing Engineering (Manufacturing) 2019, kindly visit Manufacturing updated syllabus.

For exam time table of Manufacturing Engineering (Manufacturing), kindly visit Anna University exam timetables.

For Manufacturing Engineering (Manufacturing) notices, kindly visit Anna University notices.

Wishing you great luck ahead.

For Manufacturing Engineering 8th Sem scheme and its subjects, do visit Manufacturing 8th Sem 2019 regulation scheme. For Professional Elective-VII scheme and its subjects refer to Manufacturing Professional Elective-VII syllabus scheme. The detailed syllabus of digital twin driven smart manufacturing is as follows.

Course Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Unit I

Introduction
Digital twin – Definition, types of Industry and its key requirements, Importance, Application of Digital Twin in process, product, service industries, History of Digital Twin, DTT role in industry innovation, Technologies/tools enabling Digital Twin

Unit II

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Unit III

Digital Twin in a Process Industry
Basics of Process Industry, Trends in the process industry, control system requirements in a process industry, Digital Twin of a plant, Digital Thread in process Industry, Data collection and analysis for process improvements, process safety, Automation simulation, Digital Enterprise

Unit V

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Unit V

Advantages of Digital Twin
Improvement in product quality, production process, process Safety, identify bottlenecks and improve efficiency, achieve flexibility in production, continuous prediction and tuning of production process through Simulation, reducing the time to market.

Course Outcome:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Text Books:

1. Alp Ustundag and Emre Cevikcan, “Industry 4.0: Managing The Digital Transformation”, Springer Series in Advanced Manufacturing., Switzerland, 2017
2. Andrew Yeh Chris Nee, Fei Tao, and Meng Zhang, “Digital Twin Driven Smart Manufacturing”, Elsevier Science., United States, 2019

References:

1. Alasdair Gilchrist , “Industry 4.0: The Industrial Internet of Things”, Apress., United States ,2015.
2. Christoph Jan Bartodziej, “The Concept Industry 4.0 An Empirical Analysis of Technologies and Applications in Production Logistics”, Springer Gambler., Germany, 2017.
3. Ibrahim Garbie, “Sustainability in Manufacturing Enterprises, Concepts, analyses and assessments for Industry 4.0”, Springer., Switzerland, 2016.
4. Ronald R. Yager and Jordan Pascual Espada, “New Advances in the Internet of Things”, Springer., Switzerland, 2018
5. Ulrich Sendler, “The Internet of Things, Industries 4.0 Unleashed”, Springer., Germany, 2016.

For detailed syllabus of all the other subjects of Manufacturing Engineering 8th Sem, visit Manufacturing 8th Sem subject syllabuses for 2019 regulation.

For all Manufacturing Engineering results, visit Anna University Manufacturing all semester results direct link.

For Manufacturing Engineering 8th Sem scheme and its subjects, do visit Manufacturing 8th Sem 2019 regulation scheme. For Professional Elective-VI scheme and its subjects refer to Manufacturing Professional Elective-VI syllabus scheme. The detailed syllabus of materials procurement management is as follows.

Course Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Unit I

Purchasing Management
Introduction to materials management – objectives – organization ” value analysis – make or buy decisions-Purchasing and procedures – Selection of sources of supply – Vendor development -Vendor evaluation and rating – Vendor rating methods- Imports – Buyer and Seller relationship.

Unit II

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Unit III

Basic Inventory Management
Basic EOQ Models- Assumptions- Quantity discount model- Q system- P system- Reorder level-ABC analysis- Deterministic and Probabilistic models- Finite Production

Unit IV

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Unit V

O .R Techniques in Material Management
Application of O.R. Techniques in Materials Management- Linear Programming – Distribution model- Replacement analysis- Scheduling – Forecasting-Forecasting techniques.

Course Outcome:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Text Books:

1. Gopalakrishnan. P, “Purchasing and Material Management”, Text and cases, Tata McGraw Hill, 1996.
2. Kesavan.R, Elanchezhian.C and VijayaRamnath.B, “Engineering Management”, Eswar Press. 2005.

References:

1. Gupta P.K. and Man Mohan, “Problems in Operations Research”, Sultan chand and Sons, 2014.
2. Jhamb L.C,” Inventory Management”, Everest Publishing House, 2013.
3. Menan K.S and Sarikakulkarni, Purchasing and Inventory Management, Shross, 2011.
4. Stephan.N, Chapmen J.R and Tany Arnold, “Introduction to Materials Management”, Pearson 2017.
5. Nair N.K, “Purchasing and Materials Management”, Vikas Publishing, 1990.

For detailed syllabus of all the other subjects of Manufacturing Engineering 8th Sem, visit Manufacturing 8th Sem subject syllabuses for 2019 regulation.

For all Manufacturing Engineering results, visit Anna University Manufacturing all semester results direct link.

For Manufacturing Engineering 8th Sem scheme and its subjects, do visit Manufacturing 8th Sem 2019 regulation scheme. For Professional Elective-VI scheme and its subjects refer to Manufacturing Professional Elective-VI syllabus scheme. The detailed syllabus of enterprise resource planning is as follows.

Course Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Unit I

Introduction
Overview of enterprise systems – Evolution – Risks and benefits – Fundamental technology -Issues to be consider in planning design and implementation of cross functional integrated ERP systems.

Unit II

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Unit III

Erp Implementation
Planning Evaluation and selection of ERP systems – Implementation life cycle – ERP implementation, Methodology and Frame work- Training – Data Migration. People Organization in implementation-Consultants, Vendors and Employees.

Unit IV

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Unit V

Emerging Trends On Erp
Extended ERP systems and ERP add-ons -CRM, SCM, Business analytics – Future trends in ERP systems-web enabled, Wireless technologies, cloud computing.

Course Outcome:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Text Books:

1. Alexis Leon, ERP demystified, second Edition Tata McGraw-Hill, 2008.

References:

1. Alexis Leon, Enterprise Resource Planning, second edition, Tata McGraw-Hill, 2008.
2. Jagan Nathan Vaman, ERP in Practice, Tata McGraw-Hill, 2008.
3. MahadeoJaiswal and Ganesh Vanapalli, ERP Macmillan India, 2009.
4. Sinha P. Magal and Jeffery Word, Essentials of Business Process and Information System, Wiley India, 2012.
5. Summer, ERP, Pearson Education, 2008.
6. Vinod Kumar Grag and N.K. Venkitakrishnan, ERP- Concepts and Practice, Prentice Hall of India, 2006.

For detailed syllabus of all the other subjects of Manufacturing Engineering 8th Sem, visit Manufacturing 8th Sem subject syllabuses for 2019 regulation.

For all Manufacturing Engineering results, visit Anna University Manufacturing all semester results direct link.