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Role Of Operations Research In   Managerial Decision Making
Management Science Operations Research Operational Research Operations Analysis  It is sometimes believed that operations research refers to constant monitoring of  an organization's  ongoing activities such as production scheduling and inventory control, facility maintenance and repair, staffing of service facilities etc.  Whereas many management science studies treat other kind of decisions that bear on daily operations only indirectly. These studies usually have planning orientation. For example determining the breadth of a firm’s product line, developing a long term plan for plant expansion, designing a network of warehouses for a wholesale distribution system, entering a new business by merger or acquisition .  
Some Definitions Of Operations Research ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Major O.R.Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Characteristics Of O.R. 1.  Inter-disciplinary Team Approach 2.  Holistic Approach To The System 3.  Focus On Decision Making
Phases Of An O.R. Study ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Areas Of Applications Of Operations Research (Schumacher-Smith Survey) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],  Percent Of    Companies   Area Of Application    Reporting    Activities
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Usage Of OR Techniques Among 125 Companies
Operations Research Software Available   Bernard W.Taylor, Management Science, Prentice-Hall,Inc., Englewood Cliffs, New Jersey (Contains AB: QM 4.0 By Sang Lee), 1996.   Hamdy A.Taha, Operations Research : An Introduction, Prentice-Hall Of India, New Delhi, (Contains Tora And SimmnetI1),1995. Sang M.Lee and Jung P.Shim,  Micro Management Science, Allyn and Bacon, (Contains Micro Manager Version2.0),1990. Yih-long Chang, Quantitative  Systems (QS) Version 3.0, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1995. Yih-long Chang, Quantitative Systems For Business Plus (QSB+) Version 3.0, Prentice-Hall, Inc., Englewood Cliffs,NewJersey,1994.  
The Five Generations Of OR There Is Now A Realization That To Solve A Larger Set Of “Real-World "problems, And So Make A Significant Impact On Decision Making Technology, One Needs To Employ A Much Larger Combination Of Techniques And Tools, Dependent Upon The Situation. Artificial Barriers And Constraints Of The Discipline; Should Not Be Inhibiting. Fifth/? DSS And ES Methodologies Symbolize This Generation. ES Were Developed By AI In Response To Difficulties It Had Encountered; DSS By MS/OR. Decision Maker In Both Cases Becoming More Involved. Fourth/ 1970s- Present Those Who Emphasized Heuristics Programming And Ai-based Methodology Separated From OR, Thus Creating Two Approaches To “Satisficing.” Multiple Objective Optimization And Goal Programming Reflected The Change In OR. OR Associated With Quantitative; AI With Qualitative.  Third/ 1960s Emphasized Mathematical/Optimization Techniques. Scientific Methods Still Employed And Computers Began To Be Integrated Into Tool Box. Second / 1950s Emphasized The Applications Of The Scientific Methods  To Problems Involving Operations Of Systems. OR Teams Were Interdisciplinary And Addressed Complex Problems.  First/ 1930s-1940s Description Generation/ Time Frame
  OR’S FORMULATION ,[object Object],[object Object],[object Object],[object Object],ATTEMPTED TO USE MATHEMATICAL/ OPTIMIZATION  TECHNIQUES TO SOLVE  PROBLEMS INVOLVING OPERATIONS OF CS QUANTITATIVE METHODOLOGY APPLIED TO SOME SUBSET  OF PROBLEMS INVOLVING OPERATIONS OF CS FIRST GENERATION DSS DEVELOPED  IN  RESPONSE TO THE LIMITED SUCCESS ACHIEVED BY  THE  PREVIOUS GENERATION QUALITATIVE METHODOLOGY APPLIED TO LARGE CLASS OF PROBLEMS(GENERAL PROBLEM SOLVERS-GPS) ES DEVELOPED IN RESPONSE TO THE LACK OF SUCCESS IN CREATING GPS IN  PREVIOUS GENERATION CLASSICAL OR THIRD GENERATION EARLY OR SECOND GENERATION THE FIVE GENERATIONS OF OR MS/OR FOURTH GENERATION SOR (SYNERGISTICOR) FIFTH GENERATION ( 1930s-1940s) ( 1950s) ( 1970s)-PRESENT AI/ES ( 1960s) AI (?) OTHER RELEVANT PARADIGMS AI/ES MS/OR/DSS AI CLASSICAL OR QUALITATIVE QUANTITATIVE SYNERGY OF ALL SCHOOLS OF THOUGHT
Some Definitions Of Linear Programming ,[object Object],[object Object],[object Object]
  Janata fertilizers uses nitrates, phosphates, potash and an inert filler material for fertilizer manufacture. The firm mixes these four ingredients to make two basic fertilizers, 5-10-5 and 6-5-10 (nos. represent % wt. Of nitrates, phosphates and potash in each tonne of fertilizers). The contribution towards profits and overheads is Rs.300 and Rs.400 per tonne for (5-10-5) and (6-5-10) respectively. The firm has 120 tonnes of nitrates ,200 tonnes of phosphates, 150 tonnes of potash and unlimited filler material. They will not receive additional chemicals until next month. They believe that they can sell or store at negligible cost all fertilizer produced during the month. Determine optimal product mix.   
[object Object],[object Object],[object Object],[object Object],A state agricultural federation manufactures and markets cattle feed. It uses two ingredients which have the following  characteristics     Specifications are that fiber content should be at least 50% and fat content should not exceed 18% in every one kg. Of the feed. What amounts of A and B should be used so that cost/kg. is minimized?
PROBLEM-I     5-10-5   6-5-10  Available   NITRATES  5%  6%  120 TONNES PHOSPHATES  10%  5%  200 TONNES POTASH  5%  10%  150 TONNES CONTRIBUTION    Rs.300   Rs.400 Per Tonne
Problem-2 ,[object Object],[object Object],[object Object],[object Object],Required Fiber Content – At least 50% Fat Content  -  Not More Then 18%
A MEDIA PLANNING PROBLEM EXPOSURE RATES TA   TB MAGAZINE 2%   1% (Rs.80,000) TV COMMERCIAL 1%   3% (Rs.3,20,000) MINIMAL EXPOSURE 50%   30% ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
A Product Mix Problem   Cont/Pair Rs 150 Rs.100   HIKING BOOTS  SKING BOOTS   AVAILABLE  SEWING  2 3   13 HOURS STRETCHING 5 2   16 HOURS SOLUTION   :-  HB-2, SB-3   TC = Rs 600. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
PRODUCTS MATERIALS   CONT/UNIT   A   B   C P 1 1  2   3 Rs.3 P 2 2  1  1 Rs.4 P 3 3  2   1 Rs.5 AVAILABLE 10  12  15 PRIMAL PROBLEM MAX Z  = 3X 1 +4X 2 +5X 3 X 1 +2X 2 +3X 3 <  10 2X 1 +X 2 +2X 3 <  12 3X 1 +X 2 +X 3 <  15 X 1 , X 2 , X 3   >  0 SV CONT   Q  3  4  5  0  0  0 COEFF. X 1   X 2   X 3   S 1   S 2   S 3 S 2   0   1  0  0   4/5  -1/5  1  -3/5 X 1   3   4  1  0  -1/5  -1/5  0  2/5 X 2   4   3  0  1  8/5  3/5  0  -1/5   OC    -4/5  -9/5  -2/5 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SV  COST  Q  10  12   15  0 0  0   COEFF.  Y 1   Y 2   Y 3  S 1 S 2   S 3 Y 3 15 2/5  0  3/5   1 -2/5 1/5  0 S 3 0 4/5  0  -4/5  0  1/5  -8/5  1 Y 1 10 9/5  1  1/5   0  1/5  -3/5  0 OC   1   4   3
Applications Of Linear Programming In  Production Management ,[object Object],2  Production Smoothing 3.   Assembly Line Balancing 4.   Sub Contracting 5. Some Purchasing Decisions 6 .  Location Of Production Facilities ,[object Object],[object Object],[object Object],[object Object],[object Object]
APPLICATIONS OF LINEAR PRORAMMING IN FINANCIAL MANAGEMENT ,[object Object],2.  Financing Decisions 3.  Portfolio Selection 4.  Profit Planning 5 .  Financial Audit Applications Of Linear Programming  In Personnel Management 1.  Job Assignment 2.  Manpower Scheduling 3.  Manpower Planning 4.  Equitable Salaries 5.  Manpower Deployment
Limitations Of Linear Programming ,[object Object],2.  Additivity 3.  Continuity 4.  Certainty 5.  Single Objective
[object Object],[object Object],[object Object],[object Object],[object Object]
3.   A FARMER HAS A 100- HECTARE FARM. HE CAN SELL ALL THE TOMATOES, LETTUCE, OR RADISHES HE CAN RAISE. THE PRICE HE CAN OBTAIN IS RE.1 PER KILOGRAM FOR TOMATOES, RE. 0.75 A HEAD FOR LETTUCE AND RS. 2 PER KILOGRAM FOR RADISHES. THE AVERAGE YIELD PER HECTARE IS 2,000 KILOGRAM OF  TOMATOES, 3000 HEADS OF LETTUCE AND 1,000 KILOGRAMS OF RADISHES. FERTILIZER IS AVAILABLE AT RE. 0.50 PER  KILOGRAM AND THE AMOUNT REQUIRED PER HECTARE IS 100 KILOGRAMS EACH FOR TOMATOES AND LETTUCE AND 50 KILOGRAMS FOR RADISHES. LABOUR REQUIRED FOR SOWING, CULTIVATING AND HARVESTING PER HECTARE IS 5 MAN-DAYS EACH FOR TOMATOES AND RADISHES AND 6 MAN-DAYS FOR LETTUCE. A TOTAL OF 400 MAN-DAYS OF LABOUR ARE AVAILABLE AT RS.20 PER MAN-DAY. FORMULATE THIS PROBLEM AS A LINEAR PROGRAMMING MODEL TO MAXIMIZE THE FARMER’S TOTAL PROFIT.
4.  FOUR PRDUCTS HAVE TO BE PROCESSED THROUGH THE PLANT, THE QUANTITIES REQUIRED FOR THE NEXT PRODUCTION  PERIOD BEING: PRODUCT 1 2,000   UNITS PRODUCT 2 3,000  UNITS PRODUCT 3 3,000  UNITS PRODUCT 4 6,000  UNITS  THERE ARE THREE PRODUCTION LINES ON WHICH THE PRODUCTS COULD BE PROCESSED. THE RATES FOR PRODUCTION IN UNITS PER DAY AND THE TOTAL AVAILABLE CAPACITY IN DAYS ARE GIVEN IN THE FOLLOWING TABLE. THE COST OF USING THE LINES IS RS. 600,  RS. 500, RS. 400 PER DAY,RESPECTIVELY, ASSIGNMENT OF FOUR PRODUCTS: RATES OF PRODUCTION IN UNITS PER DAY. PRODUCTION   PRODUCT   MAX.LINE LINE   1  2  3  4  CAPACITY(DAYS) A   150  100  500  400 20 B   200  100  760  400  20 C   160  80  890  600 18 FORMULATE THE ABOVE AS A LINEAR PROGRAMMING PROBLEM TO MINIMIZE THE COST OF  PRODUCTION .
5.  PRQ FEED COMPANY MARKETS TWO FEED MIXES FOR CATTLE. THE FIRST MIX, FERTILEX, REQUIRES AT LEAST TWICE AS MUCH WHEAT AS BARLEY. THE SECOND MIX, MULTIPLEX REQUIRES AT LEAST TWICE AS MUCH BARELY AS WHEAT. WHEAT COSTS RS.1.50 PER KG. AND ONLY 1,000 KG. ARE AVAILABLE THIS MONTH. BARLEY COSTS RS. 1.25 PER KG. AND 1200 KG. ARE AVAILABLE. FERTILEX SELLS FOR RS.1.80 PER KG. UPTO 99 KG, AND EACH ADDITIONAL KG. OVER 99 KG. SELLS FOR RS.1.65. MULTIPLEX SELLS AT RS. 1.70 PER KG. UPTO 99 KG. AND EACH ADDITIONAL KG.OVER 99 KG. SELLS FOR RS.1.55. BHARAT FARMS WILL BUY ANY AND ALL AMOUNTS OF BOTH MIXES PQR FEED COMPANY WILL MIX. SET UP THE LINEAR PROGRAMMING PROBLEM TO DETERMINE THE PRODUCE MIX THAT RESULTS IN MAXIMUM PROFITS .
A MANUFACTURER HAS CONTRACTED TO PRODUCE 2,000 UNITS OF A PARTICULER PRODUCT OVER THE NEXT EIGHT MONTHS. DELIVERIES  ARE SCHEDULED AS FOLLOW: JANUARY 100 FEBRUARY 200 MARCH 300 APRIL 400 MAY 100 JUNE 100 JULY  500 AUGUST 300 TOTAL 2,000 THE MANUFACTURER  HAS ESTIMATED THAT IT COSTS HIM RE. 1 TO STORE ONE UNIT OF PRODUCT FOR ONE MONTH. HE HAS A WAREHOUSE CAPACITY OF 300 UNITS. THE MANUFACTURER CAN PRODUCE ANY NUMBER OF UNITS IN A GIVEN MONTH, SINCE THE UNIT CAN BE  PRODUCED MOSTLY WITH PART-TIME LABOUR,  WHICH CAN BE EASILY OBTAINED. HOWEVER,THERE ARE THE COST OF TRANING NEW PERSONNEL AND COSTS ASSOCIATED  WITH LAYING OFF PERSONNEL WHO HAVE BEEN HIRED. THE MANUFACTURER HAS ESTIMATED THAT IT COSTS APPOXIMATELY 75 PAISE PER UNIT TO INCRESE THE PRODUCTION LEVEL FROM ONE MONTH TO THE NEXT(E.G. IF PRODUCTION IN JANUARY IS 200 AND IS INCREASED TO 300 IN FEBRUARY, THE COST IS RS.75 FOR TRANING THE ADDITIONAL PEOPLE REQUIRED  TO PRODUCE AT THE 300 UNIT LEVEL.)SIMILARLY IT COSTS 50 PAISE PER UNIT TO REDUCE PRODUCTION FROM ONE MONTH TO THE NEXT. (AT THE END OF EIGHT MONTHS, ALL EMPLOYEE WILL BE LAID OFF WITH THE CORRESPONDING PRODUCTION-REDUCTION COSTS). ASSUME THE PRODUCTION LEVEL BEFORE JANUARY IS ZERO . FORMULATE THE ABOVE AS A LINEAR PROGRAMMING PROBLEM.
Transportation Models ,[object Object],[object Object],[object Object],[object Object],. ,[object Object],[object Object]
The Assignment Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
AN ASSIGNMENT PROBLEM WORKERS   I II III IV   A 16 15 18 JOBS   B 13 16 14   C 14 13 11   D 16 18 17   A ROUTING PROBLEM  TO CITY A B C D E   A - 4 7 4   FROM     B 4 - 3 4   CITY     C 7 6 - 7     D 3 7 - 7   E 4 5 7 - 160 10 60 80 80 110   A TRANSPORTATION PROBLEM   WAREHOUSES 14 12 3 5 12 15 6 3 4 FACTORIES 500/500 220 110 90 80 REQD. 190 43 40 38 39 C 150 51 52 49 40 B 160 37 38 48 42 A CAPACITY G F E D TO/ FROM
For Maximization Case ,[object Object],For Minimization Case ,[object Object]
The cutting division of the photo film corporation requisitions from stock control department plastic films of 85 feet (fixed  unit length) which can be cut according to two patterns. First pattern will cut each film length into 35 feet pieces with the remaining 15 feet to scrap. Second pattern will cut each film length into a 35 feet piece and two 25 feet pieces with nothing to scrap. The present order from a customer is for 8 pieces of 35 feet length and 6 pieces of 25 feet length. What minimum number of plastic films of 85 feet should be cut to meet customer requirement?  
Problems On Integer Linear Programming ,[object Object],[object Object]
2. ABC COMPANY HAS 4 INDEPENDENT INVESTMENT PROJECTS AND MUST ALLOCATE A FIXED CAPITAL TO ONE OR MORE OF THEM SO THAT THE COMPANY’S NET PRESENT VALUE IS MAXIMIZED. THE ESTIMATED NET PRESENT VALUE AND THE ANTICIPATED CASH OUTFLOWS ASSOCIATED WITH THESE PROJECTS IS GIVEN IN THE FOLLOWING TABLE:   NPV   CASH OUTFLOWS(RS.1000)   PR. NO  (RS. 1000)  YEAR(I)  YEAR(II) 1 100   50 150 2   50   105   30 3 140   318 143 4   90   100   68 IN SELECTING THESE PROJECTS, THE COMPANY IS CONSTRAINED TO LIMIT ITS EXPENDITURE IN THE FIRST YEAR TO RS.5, 15,000 AND IN THE SECOND YEAR TO RS. 6,38,000. IF PROJECTS 1 AND 3 ARE MCTUALLY EXCLUSIVE, HOW SHOULD THE INVESTMENT BE MADE SO THAT THE TOTAL NET PRESENT VALUE IS MAXIMIZED?
  SET-UP   COST PER   MAX.  MACHINE   COST(Rs )  UNIT (Rs) PRODUCTION     1   8000  5 4000   2   5000  4 3000   3   4000  8 1000 QUANTITY REQUIRED:5000 UNITS AT MINIMUM COST. PRODUCT PLANT P Q R CAPACITY A 35 24 20   600 B 30 28 25   1,000 C 20 25 37   800 D 24 32 28   800 DEMAND 500 800 600
[object Object],[object Object],[object Object],BASIC CONCEPTS OF GOAL PROGRAMMING
NTC PRODUCES TWO TYPES OF MATERIALS, A STRONG UPHOLSTERY MATERIAL AND A REGULAR DRESS MATERIAL. THE UPHOLSTERY IS PRODUCED ACCORDING TO DIRECT ORDERS FROM FURNITURE MANUFACTURERS. THE DRESS MATERIAL ON THE OTHER HAND, IS DISTRIBUTED TO RETAIL FABRIC STORES. AVERAGE PRODUCTION RATES FOR THE TWO MATERIALS ARE IDENTICAL; 1000 METRES/HR. BY RUNNING TWO SHIFTS, NET OPERATIONAL CAPACITY OF THE PLANT IS 80 HOURS/WK. THE MARKETING DEPARTMENT REPORTS THAT THE MAXIMUM ESTIMATED SALES FOR THE FOLLOWING WEEK IS 70,000 M. OF UPHOLSTERY AND 45,000 M. OF DRESS MATERIAL. ACCORDING TO THE ACCOUNTING DEPARTMENT, THE APPROXIMATE PROFIT FROM A METRE OF UPHOLSTERY MATERIAL IS RS.2.50 AND FROM A METRE OF DRESS MATERIAL IS RS.1.50.   THE M.D. OF THE COMPANY BELIVES THAT A GOOD EMPLOYER- EMPLOYEE RELATIONSHIP IS IMPORTANT IN BUSINESS. HENCE HE DECIDES THAT A STABLE EMPLOYMENT LEVEL IS A PRIMARY  GOAL FOR THE FIRM. THEREFORE, WHENEVER THERE IS EXCESS DEMAND OVER NORMAL PRODUCTION, HE SIMPLY EXPANDS PRODUCTION CAPACITY BY PROVIDING OVERTIME. HOWEVER HE FEELS THAT OVERTIME OF MORE THAN 10 HOURS/WK. SHOULD BE AVOIDED – BECAUSE OF ACCELERATING COSTS. CONTD….P/2.
[object Object],[object Object],[object Object],[object Object],[object Object]
BHARAT TELEVISION COMPANY PRODUCES CTV SETS. IT HAS TWO PRODUCTION LINES. PRODUCTION RATE OF LINE-1 IS 2 SETS/HR. AND IT IS 1.1/2 SETS/ HR. IN LINE-2. THE REGULAR  PRODUCTION CAPACITY IS 40 HR./WK. FOR BOTH LINES. EXPECTED PROFIT FROM AN AVERAGE CTV SET IS RS.1000/- . THE TOP MANAGEMENT OF THE FIRM HAS THE FOLLOWING GOALS FOR THE WEEK (IN ORDINAL RANKING): ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],APPLICATION AREAS OF GOAL PROGRAMMING GOAL PROGRAMMING HAS BEEN WIDELY APPLIED TO VARIOUS DECISION PROBLEMS IN BUSINESS FIRMS, GOVERNMENT AGENCIES, AND NON PROFIT INSTITUTIONS. SOME OF THE BEST KNOWN APPLICATIONS OF GOAL PROGRAMMING INCLUDE THE FOLLOWING PROBLEM AREAS:  
LOCATION  1  2  3  4  5  6  7 1  -  12  27  14  45  36  15 2  -  10  25  32  M  22   3   -  28  50  28  10 4    -  16  20  32 5   -  26  35 6   -   20 7   - . TOTAL OF 30, 50  & 20 TONNES OF THIS COMMODITY ARE TO BE SENT FROM LOCATIONS 1, 2 & 3 RESPECTIVELY. A TOTAL OF 15, 30 25 & 30 TONNES ARE TO BE SENT TO LOCATIONS 4, 5, 6 & 7 RESPECTIVELY. SHIPMENTS CAN BE SENT THROUGH INTERMEDIATE LOCATIONS AT A COST EQUAL TO THE SUM OF THE COSTS FOR EACH OF THE LEGS OF THE JOURNEY. THE PROBLEM IS TO DETERMINE THE OPTIMAL SHIPPING PLAN.       A CERTAIN CORPORATION MUST SHIP A CERTAIN PERISHABLE COMMODITY FROM LOCATIONS 1, 2, 3, TO LOCATIONS 4, 5, 6 &7. A    THE AIR FREIGHT PER TONNE (IN 100 RS.) BETWEEN SEVEN LOCATIONS IS GIVEN IN THE FOLLOWING TABLE. WHERE NO DIRECT AIR FREIGHT SERVICE IS AVAILABLE, A VERY HIGH COST  M HAS BEEN USED.
A PROBLEM ON DYNAMIC PROGRAMMING   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Presentation 1-modified

  • 1. Role Of Operations Research In Managerial Decision Making
  • 2. Management Science Operations Research Operational Research Operations Analysis It is sometimes believed that operations research refers to constant monitoring of an organization's ongoing activities such as production scheduling and inventory control, facility maintenance and repair, staffing of service facilities etc. Whereas many management science studies treat other kind of decisions that bear on daily operations only indirectly. These studies usually have planning orientation. For example determining the breadth of a firm’s product line, developing a long term plan for plant expansion, designing a network of warehouses for a wholesale distribution system, entering a new business by merger or acquisition .  
  • 3.
  • 4.
  • 5. Characteristics Of O.R. 1. Inter-disciplinary Team Approach 2. Holistic Approach To The System 3. Focus On Decision Making
  • 6.
  • 7.
  • 8.
  • 9. Operations Research Software Available   Bernard W.Taylor, Management Science, Prentice-Hall,Inc., Englewood Cliffs, New Jersey (Contains AB: QM 4.0 By Sang Lee), 1996. Hamdy A.Taha, Operations Research : An Introduction, Prentice-Hall Of India, New Delhi, (Contains Tora And SimmnetI1),1995. Sang M.Lee and Jung P.Shim, Micro Management Science, Allyn and Bacon, (Contains Micro Manager Version2.0),1990. Yih-long Chang, Quantitative Systems (QS) Version 3.0, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1995. Yih-long Chang, Quantitative Systems For Business Plus (QSB+) Version 3.0, Prentice-Hall, Inc., Englewood Cliffs,NewJersey,1994.  
  • 10. The Five Generations Of OR There Is Now A Realization That To Solve A Larger Set Of “Real-World &quot;problems, And So Make A Significant Impact On Decision Making Technology, One Needs To Employ A Much Larger Combination Of Techniques And Tools, Dependent Upon The Situation. Artificial Barriers And Constraints Of The Discipline; Should Not Be Inhibiting. Fifth/? DSS And ES Methodologies Symbolize This Generation. ES Were Developed By AI In Response To Difficulties It Had Encountered; DSS By MS/OR. Decision Maker In Both Cases Becoming More Involved. Fourth/ 1970s- Present Those Who Emphasized Heuristics Programming And Ai-based Methodology Separated From OR, Thus Creating Two Approaches To “Satisficing.” Multiple Objective Optimization And Goal Programming Reflected The Change In OR. OR Associated With Quantitative; AI With Qualitative. Third/ 1960s Emphasized Mathematical/Optimization Techniques. Scientific Methods Still Employed And Computers Began To Be Integrated Into Tool Box. Second / 1950s Emphasized The Applications Of The Scientific Methods To Problems Involving Operations Of Systems. OR Teams Were Interdisciplinary And Addressed Complex Problems. First/ 1930s-1940s Description Generation/ Time Frame
  • 11.
  • 12.
  • 13.   Janata fertilizers uses nitrates, phosphates, potash and an inert filler material for fertilizer manufacture. The firm mixes these four ingredients to make two basic fertilizers, 5-10-5 and 6-5-10 (nos. represent % wt. Of nitrates, phosphates and potash in each tonne of fertilizers). The contribution towards profits and overheads is Rs.300 and Rs.400 per tonne for (5-10-5) and (6-5-10) respectively. The firm has 120 tonnes of nitrates ,200 tonnes of phosphates, 150 tonnes of potash and unlimited filler material. They will not receive additional chemicals until next month. They believe that they can sell or store at negligible cost all fertilizer produced during the month. Determine optimal product mix.  
  • 14.
  • 15. PROBLEM-I 5-10-5 6-5-10 Available NITRATES 5% 6% 120 TONNES PHOSPHATES 10% 5% 200 TONNES POTASH 5% 10% 150 TONNES CONTRIBUTION Rs.300 Rs.400 Per Tonne
  • 16.
  • 17.
  • 18.
  • 19.
  • 20. SV COST Q 10 12 15 0 0 0 COEFF. Y 1 Y 2 Y 3 S 1 S 2 S 3 Y 3 15 2/5 0 3/5 1 -2/5 1/5 0 S 3 0 4/5 0 -4/5 0 1/5 -8/5 1 Y 1 10 9/5 1 1/5 0 1/5 -3/5 0 OC 1 4 3
  • 21.
  • 22.
  • 23.
  • 24.
  • 25. 3. A FARMER HAS A 100- HECTARE FARM. HE CAN SELL ALL THE TOMATOES, LETTUCE, OR RADISHES HE CAN RAISE. THE PRICE HE CAN OBTAIN IS RE.1 PER KILOGRAM FOR TOMATOES, RE. 0.75 A HEAD FOR LETTUCE AND RS. 2 PER KILOGRAM FOR RADISHES. THE AVERAGE YIELD PER HECTARE IS 2,000 KILOGRAM OF TOMATOES, 3000 HEADS OF LETTUCE AND 1,000 KILOGRAMS OF RADISHES. FERTILIZER IS AVAILABLE AT RE. 0.50 PER KILOGRAM AND THE AMOUNT REQUIRED PER HECTARE IS 100 KILOGRAMS EACH FOR TOMATOES AND LETTUCE AND 50 KILOGRAMS FOR RADISHES. LABOUR REQUIRED FOR SOWING, CULTIVATING AND HARVESTING PER HECTARE IS 5 MAN-DAYS EACH FOR TOMATOES AND RADISHES AND 6 MAN-DAYS FOR LETTUCE. A TOTAL OF 400 MAN-DAYS OF LABOUR ARE AVAILABLE AT RS.20 PER MAN-DAY. FORMULATE THIS PROBLEM AS A LINEAR PROGRAMMING MODEL TO MAXIMIZE THE FARMER’S TOTAL PROFIT.
  • 26. 4. FOUR PRDUCTS HAVE TO BE PROCESSED THROUGH THE PLANT, THE QUANTITIES REQUIRED FOR THE NEXT PRODUCTION PERIOD BEING: PRODUCT 1 2,000 UNITS PRODUCT 2 3,000 UNITS PRODUCT 3 3,000 UNITS PRODUCT 4 6,000 UNITS THERE ARE THREE PRODUCTION LINES ON WHICH THE PRODUCTS COULD BE PROCESSED. THE RATES FOR PRODUCTION IN UNITS PER DAY AND THE TOTAL AVAILABLE CAPACITY IN DAYS ARE GIVEN IN THE FOLLOWING TABLE. THE COST OF USING THE LINES IS RS. 600, RS. 500, RS. 400 PER DAY,RESPECTIVELY, ASSIGNMENT OF FOUR PRODUCTS: RATES OF PRODUCTION IN UNITS PER DAY. PRODUCTION PRODUCT MAX.LINE LINE 1 2 3 4 CAPACITY(DAYS) A 150 100 500 400 20 B 200 100 760 400 20 C 160 80 890 600 18 FORMULATE THE ABOVE AS A LINEAR PROGRAMMING PROBLEM TO MINIMIZE THE COST OF PRODUCTION .
  • 27. 5. PRQ FEED COMPANY MARKETS TWO FEED MIXES FOR CATTLE. THE FIRST MIX, FERTILEX, REQUIRES AT LEAST TWICE AS MUCH WHEAT AS BARLEY. THE SECOND MIX, MULTIPLEX REQUIRES AT LEAST TWICE AS MUCH BARELY AS WHEAT. WHEAT COSTS RS.1.50 PER KG. AND ONLY 1,000 KG. ARE AVAILABLE THIS MONTH. BARLEY COSTS RS. 1.25 PER KG. AND 1200 KG. ARE AVAILABLE. FERTILEX SELLS FOR RS.1.80 PER KG. UPTO 99 KG, AND EACH ADDITIONAL KG. OVER 99 KG. SELLS FOR RS.1.65. MULTIPLEX SELLS AT RS. 1.70 PER KG. UPTO 99 KG. AND EACH ADDITIONAL KG.OVER 99 KG. SELLS FOR RS.1.55. BHARAT FARMS WILL BUY ANY AND ALL AMOUNTS OF BOTH MIXES PQR FEED COMPANY WILL MIX. SET UP THE LINEAR PROGRAMMING PROBLEM TO DETERMINE THE PRODUCE MIX THAT RESULTS IN MAXIMUM PROFITS .
  • 28. A MANUFACTURER HAS CONTRACTED TO PRODUCE 2,000 UNITS OF A PARTICULER PRODUCT OVER THE NEXT EIGHT MONTHS. DELIVERIES ARE SCHEDULED AS FOLLOW: JANUARY 100 FEBRUARY 200 MARCH 300 APRIL 400 MAY 100 JUNE 100 JULY 500 AUGUST 300 TOTAL 2,000 THE MANUFACTURER HAS ESTIMATED THAT IT COSTS HIM RE. 1 TO STORE ONE UNIT OF PRODUCT FOR ONE MONTH. HE HAS A WAREHOUSE CAPACITY OF 300 UNITS. THE MANUFACTURER CAN PRODUCE ANY NUMBER OF UNITS IN A GIVEN MONTH, SINCE THE UNIT CAN BE PRODUCED MOSTLY WITH PART-TIME LABOUR, WHICH CAN BE EASILY OBTAINED. HOWEVER,THERE ARE THE COST OF TRANING NEW PERSONNEL AND COSTS ASSOCIATED WITH LAYING OFF PERSONNEL WHO HAVE BEEN HIRED. THE MANUFACTURER HAS ESTIMATED THAT IT COSTS APPOXIMATELY 75 PAISE PER UNIT TO INCRESE THE PRODUCTION LEVEL FROM ONE MONTH TO THE NEXT(E.G. IF PRODUCTION IN JANUARY IS 200 AND IS INCREASED TO 300 IN FEBRUARY, THE COST IS RS.75 FOR TRANING THE ADDITIONAL PEOPLE REQUIRED TO PRODUCE AT THE 300 UNIT LEVEL.)SIMILARLY IT COSTS 50 PAISE PER UNIT TO REDUCE PRODUCTION FROM ONE MONTH TO THE NEXT. (AT THE END OF EIGHT MONTHS, ALL EMPLOYEE WILL BE LAID OFF WITH THE CORRESPONDING PRODUCTION-REDUCTION COSTS). ASSUME THE PRODUCTION LEVEL BEFORE JANUARY IS ZERO . FORMULATE THE ABOVE AS A LINEAR PROGRAMMING PROBLEM.
  • 29.
  • 30.
  • 31. AN ASSIGNMENT PROBLEM WORKERS I II III IV A 16 15 18 JOBS B 13 16 14 C 14 13 11 D 16 18 17 A ROUTING PROBLEM TO CITY A B C D E A - 4 7 4 FROM B 4 - 3 4 CITY C 7 6 - 7 D 3 7 - 7 E 4 5 7 - 160 10 60 80 80 110 A TRANSPORTATION PROBLEM WAREHOUSES 14 12 3 5 12 15 6 3 4 FACTORIES 500/500 220 110 90 80 REQD. 190 43 40 38 39 C 150 51 52 49 40 B 160 37 38 48 42 A CAPACITY G F E D TO/ FROM
  • 32.
  • 33. The cutting division of the photo film corporation requisitions from stock control department plastic films of 85 feet (fixed unit length) which can be cut according to two patterns. First pattern will cut each film length into 35 feet pieces with the remaining 15 feet to scrap. Second pattern will cut each film length into a 35 feet piece and two 25 feet pieces with nothing to scrap. The present order from a customer is for 8 pieces of 35 feet length and 6 pieces of 25 feet length. What minimum number of plastic films of 85 feet should be cut to meet customer requirement?  
  • 34.
  • 35. 2. ABC COMPANY HAS 4 INDEPENDENT INVESTMENT PROJECTS AND MUST ALLOCATE A FIXED CAPITAL TO ONE OR MORE OF THEM SO THAT THE COMPANY’S NET PRESENT VALUE IS MAXIMIZED. THE ESTIMATED NET PRESENT VALUE AND THE ANTICIPATED CASH OUTFLOWS ASSOCIATED WITH THESE PROJECTS IS GIVEN IN THE FOLLOWING TABLE:   NPV CASH OUTFLOWS(RS.1000) PR. NO (RS. 1000) YEAR(I) YEAR(II) 1 100 50 150 2 50 105 30 3 140 318 143 4 90 100 68 IN SELECTING THESE PROJECTS, THE COMPANY IS CONSTRAINED TO LIMIT ITS EXPENDITURE IN THE FIRST YEAR TO RS.5, 15,000 AND IN THE SECOND YEAR TO RS. 6,38,000. IF PROJECTS 1 AND 3 ARE MCTUALLY EXCLUSIVE, HOW SHOULD THE INVESTMENT BE MADE SO THAT THE TOTAL NET PRESENT VALUE IS MAXIMIZED?
  • 36. SET-UP COST PER MAX. MACHINE COST(Rs ) UNIT (Rs) PRODUCTION 1 8000 5 4000 2 5000 4 3000 3 4000 8 1000 QUANTITY REQUIRED:5000 UNITS AT MINIMUM COST. PRODUCT PLANT P Q R CAPACITY A 35 24 20 600 B 30 28 25 1,000 C 20 25 37 800 D 24 32 28 800 DEMAND 500 800 600
  • 37.
  • 38. NTC PRODUCES TWO TYPES OF MATERIALS, A STRONG UPHOLSTERY MATERIAL AND A REGULAR DRESS MATERIAL. THE UPHOLSTERY IS PRODUCED ACCORDING TO DIRECT ORDERS FROM FURNITURE MANUFACTURERS. THE DRESS MATERIAL ON THE OTHER HAND, IS DISTRIBUTED TO RETAIL FABRIC STORES. AVERAGE PRODUCTION RATES FOR THE TWO MATERIALS ARE IDENTICAL; 1000 METRES/HR. BY RUNNING TWO SHIFTS, NET OPERATIONAL CAPACITY OF THE PLANT IS 80 HOURS/WK. THE MARKETING DEPARTMENT REPORTS THAT THE MAXIMUM ESTIMATED SALES FOR THE FOLLOWING WEEK IS 70,000 M. OF UPHOLSTERY AND 45,000 M. OF DRESS MATERIAL. ACCORDING TO THE ACCOUNTING DEPARTMENT, THE APPROXIMATE PROFIT FROM A METRE OF UPHOLSTERY MATERIAL IS RS.2.50 AND FROM A METRE OF DRESS MATERIAL IS RS.1.50.   THE M.D. OF THE COMPANY BELIVES THAT A GOOD EMPLOYER- EMPLOYEE RELATIONSHIP IS IMPORTANT IN BUSINESS. HENCE HE DECIDES THAT A STABLE EMPLOYMENT LEVEL IS A PRIMARY GOAL FOR THE FIRM. THEREFORE, WHENEVER THERE IS EXCESS DEMAND OVER NORMAL PRODUCTION, HE SIMPLY EXPANDS PRODUCTION CAPACITY BY PROVIDING OVERTIME. HOWEVER HE FEELS THAT OVERTIME OF MORE THAN 10 HOURS/WK. SHOULD BE AVOIDED – BECAUSE OF ACCELERATING COSTS. CONTD….P/2.
  • 39.
  • 40.
  • 41.
  • 42. LOCATION 1 2 3 4 5 6 7 1 - 12 27 14 45 36 15 2 - 10 25 32 M 22 3 - 28 50 28 10 4 - 16 20 32 5 - 26 35 6 - 20 7 - . TOTAL OF 30, 50 & 20 TONNES OF THIS COMMODITY ARE TO BE SENT FROM LOCATIONS 1, 2 & 3 RESPECTIVELY. A TOTAL OF 15, 30 25 & 30 TONNES ARE TO BE SENT TO LOCATIONS 4, 5, 6 & 7 RESPECTIVELY. SHIPMENTS CAN BE SENT THROUGH INTERMEDIATE LOCATIONS AT A COST EQUAL TO THE SUM OF THE COSTS FOR EACH OF THE LEGS OF THE JOURNEY. THE PROBLEM IS TO DETERMINE THE OPTIMAL SHIPPING PLAN.   A CERTAIN CORPORATION MUST SHIP A CERTAIN PERISHABLE COMMODITY FROM LOCATIONS 1, 2, 3, TO LOCATIONS 4, 5, 6 &7. A   THE AIR FREIGHT PER TONNE (IN 100 RS.) BETWEEN SEVEN LOCATIONS IS GIVEN IN THE FOLLOWING TABLE. WHERE NO DIRECT AIR FREIGHT SERVICE IS AVAILABLE, A VERY HIGH COST M HAS BEEN USED.
  • 43.