GUJARAT TECHNOLOGICAL UNIVERSITY
Bachelor of Engineering
                                        Subject Code: 3152008
                                            Semester – V
                           Subject Name: Production Optimization Techniques
Type of course: Engineering
Prerequisite: Zeal to learn the subject
Rationale: This subject is a robust tool and offers directions in making the best decisions possible given the
data available. It may provide the executive with an analytical and quantitative basis to identify the problem
area. The most frequently adopted applications in this category deal with production scheduling and
decision making.
Teaching and Examination Scheme:
        Teaching Scheme       Credits                       Examination Marks                               Total
   L           T       P         C               Theory Marks              Practical Marks                  Marks
                                            ESE (E)       PA (M)         ESE (V)      PA (I)
    2         0        2          3           70            30             30              20                   150
Content:
Sr. No.                                              Content                                                Total
                                                                                                             Hrs
        1   GENERAL CONCEPTS                                                                                    2
            Evolution of Modern Management; Functional approach, systems approach; Decision
            making; Models and Model building; Models to solve production problems.
        2   LINEAR PROGRAMMING                                                                                  6
             General L. P. Format, formulation of production problems, Methods of Solution:
            Graphical, Simplex, Modified simplex, Big M and 2 Phase methods; degeneracy and
            redundancy in L.P., Application of L.P. to solve problems of Production systems.
        3   TRANSPORTATION MODEL                                                                                4
            Formulation, methods of solution: NW Corner, Least cost and Vogels approximation
            methods; Optimality test: Stepping stone and MODI methods; Degenerate and unbalanced
            transportation problems; Application to Production systems.
        4   ASSIGNMENT MODEL                                                                                    4
            Formulation; Methods of solution: Enumeration, transportation, Hungarian methods; Areas
            of application in the solution of production problems.
        5   NETWORK ANALYSIS                                                                                    5
            CPM and PERT, Concept of slack/float and its significance; Project cost analysis,
            crashing, Applications in production systems
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                                               w.e.f. AY 2018-19
                        GUJARAT TECHNOLOGICAL UNIVERSITY
                                          Bachelor of Engineering
                                          Subject Code: 3152008
       6     SEQUENCING PROBLEMS                                                                                   4
             Johnson’s Rule and its logic, methods of solution; n jobs two machines, n jobs 3
             machines, 2 jobs M machines and n jobs M machines problems; Graphical and Heuristic
             methods; Applications and limitations.
       7     DECISION THEORY                                                                                       3
             Decision tree concept; Relevance to production systems.
Suggested Specification table with Marks (Theory): (For BE only)
                                         Distribution of Theory Marks
       R Level                 U Level              A Level           N Level        E Level        C Level
         30                      30                   20                10              5              5
Legends: R: Remembrance; U: Understanding; A: Application, N: Analyze and E: Evaluate C:
Create and above Levels (Revised Bloom’s Taxonomy)
Note: This specification table shall be treated as a general guideline for students and teachers. The actual
distribution of marks in the question paper may vary slightly from above table.
Reference Books:
      1.   Quantitative Techniques in Management, N. D. Vohra, Tata McGraw Hill
      2.   Operational Research, Analysis and Applications, Wilkes Michael, McGraw Hill
      3.   Applied OR and Management Science, Fabrycky, Ghare and Torgersen, PHI
      4.   Quantitative approaches to Management, Richard Levin McGraw Hill
Course Outcomes: After learning the course the students should be able to:
Sr.         CO statement                                                                       Marks %
No.                                                                                            weightage
CO-1        Identify and develop models for optimizing the management and production           35
            systems from the verbal description of the real system.
CO-2        Facilitate quantitative solutions in business decision making under conditions     25
            of certainty, risk and uncertainty.
CO-3        Acquaint him / her with applications of optimization techniques to solve           20
            manufacturing and other industry related problems.
CO-4        Expose him / her to the significance of various scientific tools and models        20
            that are available in the subject to take decisions in a complex environment.
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                                                  w.e.f. AY 2018-19
                      GUJARAT TECHNOLOGICAL UNIVERSITY
                                    Bachelor of Engineering
                                     Subject Code: 3152008
List of Experiments: Experiments can be conducted using any appropriate simulation software for the
following topics.
     1.   Modeling and graphical method.
     2.   Simplex Method.
     3.   Big M and Two Phase Method.
     4.   Transportation Techniques.
     5.   Assignment Problem.
     6.   Network analysis techniques.
     7.   Decision Making.
     8.   Sequencing method.
Major Equipment:
NA
List of Open Source Software/learning website:
The website of NPTEL may be utilized for additional learning.
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