SlideShare a Scribd company logo
1 of 3
Download to read offline
Department of Mathematics
Brainware Group of Institutions
Assignment-I (ME 705C)
1. Using graphical method to solve the following LPP :
Maximize 3 2
subject to 2 2
3 4 12
, 0
z x y
x y
x y
x y
 
 
 

2. Solve the following LPP by simplex method:
Maximize 3
subject to 3 2 3
2 2 2
, , 0
u x y z
x y z
x y z
x y z
  
  
  

3. Solve the following LPP by Big M method :
  
  
  

1 2 3
1 2 3
1 2 3
1 2 3
2 9
4 2 5
3 2 4
, , 0
Max z x x x
Subject to x x x
x x x
x x x
4. Find all the basic feasible solutions of the system
1 2 3
1 2 3
2 4 11,
3 5 14,
x x x
x x x
  
  
5. A manufacturer of patent medicine is preparing a production plant on medicines A and B.
There are sufficient ingredients available to make 20000 bottles of A and 40000
bottles of B,but there are only 45000 bottles into which either of the medicines can be put.
Furthermore it takes three hours to prepare enough material to fill 1000 bottles of A, it
takes one hours to prepare enough material to fill 1000 bottles of B and there are 66 hours
available for this operation.The profit is Rs. 8.00 per bottle of A and Rs. 7.00 per bottle of B.
Formulate this as a linear programming problem to maximize the profit.
6. Distinguish Between Transportation Problem and Assignment Problem.
7. Find the optimal solution and the corresponding cost of transportation in the following
transportation problem
D1 D2 D3 D4 Supply
O1 19 20 50 10 7
O2 70 30 40 60 9
O3 40 8 70 20 18
Demand 5 8 7 14
Department of Mathematics
Brainware Group of Institutions
8. The Head of the department has five jobs A, B, C, D, E and five sub-ordinates V, W, X, Y, Z.
The number of hours each sub-ordinates would take to perform each job is as follows:
V W X Y Z
A 3 5 10 15 8
B 4 7 15 18 8
C 8 12 20 20 12
D 5 5 8 10 6
E 10 10 15 25 10
How would the jobs be allocated to minimize the total time.
9. A firm makes two types of furniture – chairs and tables. The profit for each product as
calculated by the accounting department is Rs. 20 per chair and Rs.30 per table. Both
products are to be processed on three machines M1, M2, M3. The time required in hours by
each product and total time available in hours per week on each machine is as follows:
Machine Chair Table Available
Time(hrs)
M1 3 3 36
M2 5 2 50
M3 2 6 60
i) Give a mathematical formulation to this linear programming problem.
ii) Use the graphical method to solve this problem.
10. The owner of a small machine shop has four machinists available to assign to jobs for the
days. Five jobs are offered with expected profit for the each machinist on each job as given
in the table. Find the assignment of Machinists to jobs that will result in a maximum profit.
A B C D E
1 62 78 50 101 82
2 71 84 61 73 59
3 87 92 111 71 81
4 48 64 87 77 80
Department of Mathematics
Brainware Group of Institutions
11. Deduce the expression expected number of customers in the system and expected number
of customer waiting in the plane(i.e. queue length)
12. A project schedule has the following characteristics
1-2 1-3 2-4 3-4 3-5 4-9 5-6 5-7 6-8 7-8 8-10 9-10
4 1 1 1 6 5 4 8 1 2 5 7
Draw the project network and find the critical path.
13. A harbour has single dock to unload the containers from the incoming ships. The arrival
rate of ships at the harbour follows Poisson distribution and the unloading time for the
ships follows exponential distribution. The arrival rate and service rate are 8 ships per
week and 14 ships per week, respectively. Find the following:
i) Utilization of the dock.
ii) Average number of waiting ships in the queue.
iii) Average number of waiting ships in the system
iv) Average waiting time per ship in the queue.
v) Average waiting time per ship in the system.

More Related Content

Similar to Me 705 c OPERATION RESEARCH QUESTIONS

Ddb29 ccceba547209ddab45a17330016
Ddb29 ccceba547209ddab45a17330016Ddb29 ccceba547209ddab45a17330016
Ddb29 ccceba547209ddab45a17330016Joseph Konnully
 
Sd final06 07_ds
Sd final06 07_dsSd final06 07_ds
Sd final06 07_dsHany Nozhy
 
Economics 512 Homework IV (25 Points) Fall 2016 Do Pro.docx
Economics 512 Homework IV (25 Points) Fall 2016 Do Pro.docxEconomics 512 Homework IV (25 Points) Fall 2016 Do Pro.docx
Economics 512 Homework IV (25 Points) Fall 2016 Do Pro.docxSALU18
 
6Allocating Resources to the ProjectSolution to Project C.docx
6Allocating Resources to the ProjectSolution to Project C.docx6Allocating Resources to the ProjectSolution to Project C.docx
6Allocating Resources to the ProjectSolution to Project C.docxtroutmanboris
 
Modern trends in optimization techniques
Modern trends in optimization techniquesModern trends in optimization techniques
Modern trends in optimization techniquesDYPCET
 
MULTIPLE CHOICE. Record your answer choices. 1.7.2.8.docx
MULTIPLE CHOICE.   Record your answer choices. 1.7.2.8.docxMULTIPLE CHOICE.   Record your answer choices. 1.7.2.8.docx
MULTIPLE CHOICE. Record your answer choices. 1.7.2.8.docxgilpinleeanna
 
Mc0079 computer based optimization methods(statistics applied or)–-2012
Mc0079 computer based optimization methods(statistics  applied or)–-2012Mc0079 computer based optimization methods(statistics  applied or)–-2012
Mc0079 computer based optimization methods(statistics applied or)–-2012rite2project
 
Lpp formulations - 2018 - 1
Lpp  formulations  - 2018 - 1Lpp  formulations  - 2018 - 1
Lpp formulations - 2018 - 1Utshav Chaudhary
 
MATH 106 Finite Mathematics 2152-US1-4010-V1 MATH 106 Finite .docx
MATH 106 Finite Mathematics  2152-US1-4010-V1 MATH 106 Finite .docxMATH 106 Finite Mathematics  2152-US1-4010-V1 MATH 106 Finite .docx
MATH 106 Finite Mathematics 2152-US1-4010-V1 MATH 106 Finite .docxandreecapon
 
Mb0048 operations research
Mb0048  operations researchMb0048  operations research
Mb0048 operations researchsmumbahelp
 
Linear programming
Linear programming Linear programming
Linear programming sadha sivam
 
instituteadditionalnotesonor1.pdf
instituteadditionalnotesonor1.pdfinstituteadditionalnotesonor1.pdf
instituteadditionalnotesonor1.pdfTeshome62
 
403 e86280b994e71948f9e0c1b385947
403 e86280b994e71948f9e0c1b385947403 e86280b994e71948f9e0c1b385947
403 e86280b994e71948f9e0c1b385947Joseph Konnully
 

Similar to Me 705 c OPERATION RESEARCH QUESTIONS (20)

Exam110121
Exam110121Exam110121
Exam110121
 
Ddb29 ccceba547209ddab45a17330016
Ddb29 ccceba547209ddab45a17330016Ddb29 ccceba547209ddab45a17330016
Ddb29 ccceba547209ddab45a17330016
 
Sd final06 07_ds
Sd final06 07_dsSd final06 07_ds
Sd final06 07_ds
 
30 model questions OR
30 model questions OR30 model questions OR
30 model questions OR
 
Economics 512 Homework IV (25 Points) Fall 2016 Do Pro.docx
Economics 512 Homework IV (25 Points) Fall 2016 Do Pro.docxEconomics 512 Homework IV (25 Points) Fall 2016 Do Pro.docx
Economics 512 Homework IV (25 Points) Fall 2016 Do Pro.docx
 
6Allocating Resources to the ProjectSolution to Project C.docx
6Allocating Resources to the ProjectSolution to Project C.docx6Allocating Resources to the ProjectSolution to Project C.docx
6Allocating Resources to the ProjectSolution to Project C.docx
 
P79 mba202
P79 mba202P79 mba202
P79 mba202
 
MULTI-OBJECTIVE ANALYSIS OF INTEGRATED SUPPLY CHAIN PROBLEM
MULTI-OBJECTIVE ANALYSIS OF INTEGRATED SUPPLY CHAIN PROBLEMMULTI-OBJECTIVE ANALYSIS OF INTEGRATED SUPPLY CHAIN PROBLEM
MULTI-OBJECTIVE ANALYSIS OF INTEGRATED SUPPLY CHAIN PROBLEM
 
Modern trends in optimization techniques
Modern trends in optimization techniquesModern trends in optimization techniques
Modern trends in optimization techniques
 
MULTIPLE CHOICE. Record your answer choices. 1.7.2.8.docx
MULTIPLE CHOICE.   Record your answer choices. 1.7.2.8.docxMULTIPLE CHOICE.   Record your answer choices. 1.7.2.8.docx
MULTIPLE CHOICE. Record your answer choices. 1.7.2.8.docx
 
Mc0079 computer based optimization methods(statistics applied or)–-2012
Mc0079 computer based optimization methods(statistics  applied or)–-2012Mc0079 computer based optimization methods(statistics  applied or)–-2012
Mc0079 computer based optimization methods(statistics applied or)–-2012
 
Lpp formulations - 2018 - 1
Lpp  formulations  - 2018 - 1Lpp  formulations  - 2018 - 1
Lpp formulations - 2018 - 1
 
MATH 106 Finite Mathematics 2152-US1-4010-V1 MATH 106 Finite .docx
MATH 106 Finite Mathematics  2152-US1-4010-V1 MATH 106 Finite .docxMATH 106 Finite Mathematics  2152-US1-4010-V1 MATH 106 Finite .docx
MATH 106 Finite Mathematics 2152-US1-4010-V1 MATH 106 Finite .docx
 
Decision Making Process
Decision Making ProcessDecision Making Process
Decision Making Process
 
Mb0048 operations research
Mb0048  operations researchMb0048  operations research
Mb0048 operations research
 
Linear programming
Linear programming Linear programming
Linear programming
 
_LPP.pdf
_LPP.pdf_LPP.pdf
_LPP.pdf
 
instituteadditionalnotesonor1.pdf
instituteadditionalnotesonor1.pdfinstituteadditionalnotesonor1.pdf
instituteadditionalnotesonor1.pdf
 
403 e86280b994e71948f9e0c1b385947
403 e86280b994e71948f9e0c1b385947403 e86280b994e71948f9e0c1b385947
403 e86280b994e71948f9e0c1b385947
 
Linear Programming-1.ppt
Linear Programming-1.pptLinear Programming-1.ppt
Linear Programming-1.ppt
 

Recently uploaded

Vishratwadi & Ghorpadi Bridge Tender documents
Vishratwadi & Ghorpadi Bridge Tender documentsVishratwadi & Ghorpadi Bridge Tender documents
Vishratwadi & Ghorpadi Bridge Tender documentsSachinPawar510423
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncssuser2ae721
 
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor CatchersTechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catcherssdickerson1
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...Chandu841456
 
Internet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptxInternet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptxVelmuruganTECE
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfAsst.prof M.Gokilavani
 
National Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdfNational Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdfRajuKanojiya4
 
Mine Environment II Lab_MI10448MI__________.pptx
Mine Environment II Lab_MI10448MI__________.pptxMine Environment II Lab_MI10448MI__________.pptx
Mine Environment II Lab_MI10448MI__________.pptxRomil Mishra
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleAlluxio, Inc.
 
Indian Dairy Industry Present Status and.ppt
Indian Dairy Industry Present Status and.pptIndian Dairy Industry Present Status and.ppt
Indian Dairy Industry Present Status and.pptMadan Karki
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxk795866
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024Mark Billinghurst
 
welding defects observed during the welding
welding defects observed during the weldingwelding defects observed during the welding
welding defects observed during the weldingMuhammadUzairLiaqat
 
US Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of ActionUS Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of ActionMebane Rash
 
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...Amil Baba Dawood bangali
 
Transport layer issues and challenges - Guide
Transport layer issues and challenges - GuideTransport layer issues and challenges - Guide
Transport layer issues and challenges - GuideGOPINATHS437943
 
home automation using Arduino by Aditya Prasad
home automation using Arduino by Aditya Prasadhome automation using Arduino by Aditya Prasad
home automation using Arduino by Aditya Prasadaditya806802
 
Solving The Right Triangles PowerPoint 2.ppt
Solving The Right Triangles PowerPoint 2.pptSolving The Right Triangles PowerPoint 2.ppt
Solving The Right Triangles PowerPoint 2.pptJasonTagapanGulla
 
Industrial Safety Unit-I SAFETY TERMINOLOGIES
Industrial Safety Unit-I SAFETY TERMINOLOGIESIndustrial Safety Unit-I SAFETY TERMINOLOGIES
Industrial Safety Unit-I SAFETY TERMINOLOGIESNarmatha D
 

Recently uploaded (20)

Vishratwadi & Ghorpadi Bridge Tender documents
Vishratwadi & Ghorpadi Bridge Tender documentsVishratwadi & Ghorpadi Bridge Tender documents
Vishratwadi & Ghorpadi Bridge Tender documents
 
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsyncWhy does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
Why does (not) Kafka need fsync: Eliminating tail latency spikes caused by fsync
 
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor CatchersTechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
 
An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...
 
Internet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptxInternet of things -Arshdeep Bahga .pptx
Internet of things -Arshdeep Bahga .pptx
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
 
National Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdfNational Level Hackathon Participation Certificate.pdf
National Level Hackathon Participation Certificate.pdf
 
Mine Environment II Lab_MI10448MI__________.pptx
Mine Environment II Lab_MI10448MI__________.pptxMine Environment II Lab_MI10448MI__________.pptx
Mine Environment II Lab_MI10448MI__________.pptx
 
Correctly Loading Incremental Data at Scale
Correctly Loading Incremental Data at ScaleCorrectly Loading Incremental Data at Scale
Correctly Loading Incremental Data at Scale
 
Indian Dairy Industry Present Status and.ppt
Indian Dairy Industry Present Status and.pptIndian Dairy Industry Present Status and.ppt
Indian Dairy Industry Present Status and.ppt
 
Introduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptxIntroduction-To-Agricultural-Surveillance-Rover.pptx
Introduction-To-Agricultural-Surveillance-Rover.pptx
 
IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024IVE Industry Focused Event - Defence Sector 2024
IVE Industry Focused Event - Defence Sector 2024
 
welding defects observed during the welding
welding defects observed during the weldingwelding defects observed during the welding
welding defects observed during the welding
 
US Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of ActionUS Department of Education FAFSA Week of Action
US Department of Education FAFSA Week of Action
 
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
NO1 Certified Black Magic Specialist Expert Amil baba in Uae Dubai Abu Dhabi ...
 
Transport layer issues and challenges - Guide
Transport layer issues and challenges - GuideTransport layer issues and challenges - Guide
Transport layer issues and challenges - Guide
 
home automation using Arduino by Aditya Prasad
home automation using Arduino by Aditya Prasadhome automation using Arduino by Aditya Prasad
home automation using Arduino by Aditya Prasad
 
Solving The Right Triangles PowerPoint 2.ppt
Solving The Right Triangles PowerPoint 2.pptSolving The Right Triangles PowerPoint 2.ppt
Solving The Right Triangles PowerPoint 2.ppt
 
Industrial Safety Unit-I SAFETY TERMINOLOGIES
Industrial Safety Unit-I SAFETY TERMINOLOGIESIndustrial Safety Unit-I SAFETY TERMINOLOGIES
Industrial Safety Unit-I SAFETY TERMINOLOGIES
 

Me 705 c OPERATION RESEARCH QUESTIONS

  • 1. Department of Mathematics Brainware Group of Institutions Assignment-I (ME 705C) 1. Using graphical method to solve the following LPP : Maximize 3 2 subject to 2 2 3 4 12 , 0 z x y x y x y x y        2. Solve the following LPP by simplex method: Maximize 3 subject to 3 2 3 2 2 2 , , 0 u x y z x y z x y z x y z           3. Solve the following LPP by Big M method :           1 2 3 1 2 3 1 2 3 1 2 3 2 9 4 2 5 3 2 4 , , 0 Max z x x x Subject to x x x x x x x x x 4. Find all the basic feasible solutions of the system 1 2 3 1 2 3 2 4 11, 3 5 14, x x x x x x       5. A manufacturer of patent medicine is preparing a production plant on medicines A and B. There are sufficient ingredients available to make 20000 bottles of A and 40000 bottles of B,but there are only 45000 bottles into which either of the medicines can be put. Furthermore it takes three hours to prepare enough material to fill 1000 bottles of A, it takes one hours to prepare enough material to fill 1000 bottles of B and there are 66 hours available for this operation.The profit is Rs. 8.00 per bottle of A and Rs. 7.00 per bottle of B. Formulate this as a linear programming problem to maximize the profit. 6. Distinguish Between Transportation Problem and Assignment Problem. 7. Find the optimal solution and the corresponding cost of transportation in the following transportation problem D1 D2 D3 D4 Supply O1 19 20 50 10 7 O2 70 30 40 60 9 O3 40 8 70 20 18 Demand 5 8 7 14
  • 2. Department of Mathematics Brainware Group of Institutions 8. The Head of the department has five jobs A, B, C, D, E and five sub-ordinates V, W, X, Y, Z. The number of hours each sub-ordinates would take to perform each job is as follows: V W X Y Z A 3 5 10 15 8 B 4 7 15 18 8 C 8 12 20 20 12 D 5 5 8 10 6 E 10 10 15 25 10 How would the jobs be allocated to minimize the total time. 9. A firm makes two types of furniture – chairs and tables. The profit for each product as calculated by the accounting department is Rs. 20 per chair and Rs.30 per table. Both products are to be processed on three machines M1, M2, M3. The time required in hours by each product and total time available in hours per week on each machine is as follows: Machine Chair Table Available Time(hrs) M1 3 3 36 M2 5 2 50 M3 2 6 60 i) Give a mathematical formulation to this linear programming problem. ii) Use the graphical method to solve this problem. 10. The owner of a small machine shop has four machinists available to assign to jobs for the days. Five jobs are offered with expected profit for the each machinist on each job as given in the table. Find the assignment of Machinists to jobs that will result in a maximum profit. A B C D E 1 62 78 50 101 82 2 71 84 61 73 59 3 87 92 111 71 81 4 48 64 87 77 80
  • 3. Department of Mathematics Brainware Group of Institutions 11. Deduce the expression expected number of customers in the system and expected number of customer waiting in the plane(i.e. queue length) 12. A project schedule has the following characteristics 1-2 1-3 2-4 3-4 3-5 4-9 5-6 5-7 6-8 7-8 8-10 9-10 4 1 1 1 6 5 4 8 1 2 5 7 Draw the project network and find the critical path. 13. A harbour has single dock to unload the containers from the incoming ships. The arrival rate of ships at the harbour follows Poisson distribution and the unloading time for the ships follows exponential distribution. The arrival rate and service rate are 8 ships per week and 14 ships per week, respectively. Find the following: i) Utilization of the dock. ii) Average number of waiting ships in the queue. iii) Average number of waiting ships in the system iv) Average waiting time per ship in the queue. v) Average waiting time per ship in the system.