SlideShare a Scribd company logo
Application of Operations Research
Techniques for Industrial Engineers
Shanghai Jiao Tong University Hakeem-Ur-Rehman 1
Operations Research techniques for Industrial Engineers
“OR:THE SCIENCE OF BETTER”
Presented By:
Hakeem–Ur–Rehman
PhD (Scholar)–Management Science & Engineering
Major in (Logistics & Operations Management)
Antai College of Economics & Management, Shanghai Jiao
Tong University, Shanghai, China
Operations Research techniques for Industrial Engineers
Outline:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 2
 Defining Industrial Engineering (IE) & Operations Research (OR)
 Application of OR techniques (with few examples)
 Research Journals
 Societies & Professional Bodies
 Optimization / Simulation Software
Operations Research techniques for Industrial Engineers
What is Industrial Engineering:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 2
 Industrial Engineering is concerned with the design, improvement, and
installation of integrated systems of men, materials, equipment and energy. It
draws upon specialized knowledge and skill in the mathematical, physical
and social sciences together with the principles and methods of engineering
analysis and design to specify, predict, and evaluate the results to be obtained
from such systems. (American Institute of Industrial Engineers)
Industrial
Engineering
Operations
Research
Production &
Supply Chain
Manufacturing
Processes &
Systems
Ergonomics
Industrial Engineering at the Undergraduate Level is generally seen as a
composition of four areas.
Operations Research techniques for Industrial Engineers
What is Operations Research:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 4
 Optimal decision-making in, and modeling of, deterministic and probabilistic systems that
originate from real life. These applications, which occur in government, business,
engineering, economics, and the natural and social sciences, are largely characterized by
the need to allocate limited resources. In these situations, considerable insight can be
obtained from scientific analysis, such as that provided by Operations Research. (Hiller–
Lieberman)
TECHNIQUES
Deterministic
OR
Stochastic
OR
Heuristics
Meta-heuristics
(OR/MS)
o Linear Programming
o Integer Programming
o Network Analysis
o Dynamic Programming
o Non-linear
Programming
o …
o Queuing Theory
o Decision Theory
o Monte Carlo Markov
Chain
o Markov Decision Process
o Simulation
o …
o Problem Based o Simulated Annealing
o Neural Network
o Genetic Algorithms
o Ant Colony Optimization
o …
 OR: a new field which started in the late 1930's and has grown and expanded
tremendously in the last 30 years
Operations Research techniques for Industrial Engineers
Application O.R. Techniques:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 5
 LINEAR PROGRAMMING
o Resource Allocation Problems: Attempt to allocate a limited resource so as to
optimize the consequence of that allocation.
𝑴𝒂𝒙𝒊𝒎𝒊𝒛𝒆 Prof𝑖𝑡 =
𝑗=1
𝑛
𝑝𝑗 𝑥𝑗
Subject to:
𝑗=1
𝑛
𝑎𝑖𝑗 𝑥𝑗 ≤ 𝑏𝑖 𝑓𝑜𝑟 𝑖 = 1,2, . . . , 𝑚
𝑥𝑗 ≥ 0 𝑓𝑜𝑟 𝑗 = 1,2, . . . , 𝑛
General Resource Allocation Model: Parameters:
• n = # of activities (e.g.: products etc.)
• m = # of Resources (e.g. Machines etc.)
• 𝑝𝑗 = Profit for activity ‘𝑗’
• 𝑏𝑖 = Amount available of resource ‘𝑖’
• 𝑎𝑖𝑗 = Amount of resource ‘𝑖’ used by a unit of
activity ‘𝑗’
Decision Variables:
• 𝑥𝑗 = Amount of activity ‘𝑗’ selected
Machine Quantity Prodcut-1 Prodcut-2 Prodcut-3 Prodcut-4 Prodcut-5
M1 4 1.2 1.3 0.7 0.0 0.5
M2 5 0.7 2.2 1.6 0.5 1.0
M3 3 0.9 0.7 1.3 1.0 0.8
M4 7 1.4 2.8 0.5 1.2 0.6
Unit Profit ($) 18 25 10 12 15
EXAMPLE: Machine data and processing requirements (hrs./unit)
Number of hours available
on each machine type = 40
Operations Research techniques for Industrial Engineers
Application O.R. Techniques:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 6
 LINEAR PROGRAMMING …
o Data Envelopment Analysis: (developed by Charles, Cooper and Rhodes (1978)) is
an application of linear programming that deals with the comparison of different decision
making units (DMUs), with respect to their efficiencies such as branches of a fast-food
chain, automobile dealerships selling the same brand, etc.
General Basic DEA (CCR) Model:
𝑀𝑎𝑥
𝑣,𝑢
𝜃 = 𝑟=1
𝑠
𝑢 𝑟 𝑦𝑟𝑝
𝑖=1
𝑚
𝑣𝑖 𝑥𝑖𝑝
∀ 𝑝 = 1,2, . . . , 𝑛
Subject to:
𝑟=1
𝑠
𝑢 𝑟 𝑦 𝑟𝑗
𝑖=1
𝑚
𝑣𝑖 𝑥𝑖𝑗
≤ 1∀𝑗 = 1,2, . . . , 𝑛
𝑢 𝑟, 𝑣𝑖 ≥ 0
 Examples:
DMU: Banks, schools, …
Input: Labor, Capital, …
Output: Revenues, Profit …
DEA Vs Regression line
Operations Research techniques for Industrial Engineers
Application O.R. Techniques:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 6
 LINEAR PROGRAMMING …
o Data Envelopment Analysis: …
Example: DMU Output
(Units/day)
Inputs
Material
(cost ‘$’)
Labor
(Hours)
Factory-1 100 10 2
Factory-2 80 8 4
Factory-3 120 12 1.5
Max. 𝜃 = (𝑢1 ∗ 100 ( 𝑣1 ∗ 10 + 𝑣2 ∗ 2
For Factory-1:
S.t.: (𝑢1 ∗ 100 ( 𝑣1 ∗ 10 + 𝑣2 ∗ 2 ≤ 1
(𝑢1 ∗ 120 ( 𝑣1 ∗ 12 + 𝑣2 ∗ 1.5 ≤ 1
(𝑢1 ∗ 80 ( 𝑣1 ∗ 8 + 𝑣2 ∗ 4 ≤ 1
Similarly do it for factory-2 & factory-3; then compare the
objective function values
Operations Research techniques for Industrial Engineers
Application O.R. Techniques:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 7
 LINEAR PROGRAMMING…
o Cutting Stock Problems: Cutting the material in certain shapes and sizes, in order
to generate certain desired shapes and sizes, so as to minimize cost etc.
o One–dimensional, Two–dimensional & Three–dimensional cutting stock
problem
o Example: A stock roll is cut into given sizes so that demand of each product is satisfied.
o A solution is specified by
o Cutting Patterns: a pattern is a set of products whose total length is not more than ‘L’
o Frequency: the number of times each cutting pattern is applied.
Operations Research techniques for Industrial Engineers
Application O.R. Techniques:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 9
 LINEAR PROGRAMMING…(Cutting Stock Problems)
Parameters:
o ‘𝑚’ available lengths for which there are
supplies of ‘𝑠𝑖’, ‘𝑖 = 1,2, … , 𝑚’
o ‘𝑝’ desired lengths for which demands
are ‘𝑑 𝑘’, ‘k = 1,2, … , 𝑝’
o ‘ 𝑛 ’ distinct cutting patterns (‘ j =
1,2, … , 𝑛’)
o 𝑎 𝑘𝑗 = # of desired lengths ‘k’ according
to pattern ‘j’
o 𝑇𝑖 = A set of all patterns ‘j’ that use the
available length ‘𝑖’
o 𝑐𝑗 = cost of cutting pattern ‘j’
o 𝑐 𝑘
∗
= cost per unit of length ‘k’
General Model:
𝑀𝑖𝑛. 𝑍 = 𝑗 𝑐𝑗 𝑥𝑗 + 𝑘 𝑐 𝑘
∗
𝑦 𝑘
Subject to:
𝑗∈𝑇𝑖
𝑥𝑗 ≤ 𝑠𝑖 ∀ 𝑖 = 1,2, … , 𝑚
𝑗 𝑎 𝑘𝑗 𝑥𝑗 + 𝑦 𝑘 ≥ 𝑑 𝑘 ∀ 𝑘 = 1,2, … , 𝑝
𝑥𝑗, 𝑦 𝑘 ≥ 0; ∀ 𝑗 = 1,2, … , 𝑛 ; 𝑘 = 1,2, … , 𝑝
Decision Variables:
o 𝑥𝑗 = Number of time we cut the
jth pattern
o 𝑦 𝑘 = Number of desired length
‘k’ purchased
Operations Research techniques for Industrial Engineers
Application O.R. Techniques:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 10
 LINEAR PROGRAMMING…(Cutting Stock Problems)…EXAMPLE
EXAMPLE: A firm has
an inventory of one
hundred and twenty
(120), 20-ft rods, one
hundred and sixty (160),
15ft rods, and forty (40),
8-ft rods. Their customers
demand two hundred 10-
ft rods, and two hundred
and fifty 6-ft rods. Each
cut costs 30¢, while
buying the rods costs 50¢
and 25¢, respectively, for
the 10-ft and 6-ft rods.
Given the above
information, we can now
determine the cutting
plan shown in figure…
Operations Research techniques for Industrial Engineers
Application O.R. Techniques:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 11
 LINEAR PROGRAMMING…
o Production & Inventory Planning: minimizing production & inventory holding
cost subject to meeting the customer demand & Take care of Capacity constraint.
o Employee Scheduling Problems: Scheduling problem that assigns employees to
shifts
o Transportation & Transshipment Problems
o Assignment Problem
o Many Many More…
Operations Research techniques for Industrial Engineers
Application O.R. Techniques:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 12
 Integer Programming:
o Knapsack Problem: Given a set of items, each with a mass and a value,
determine the number of each item to include in a collection so that the total
weight is less than or equal to a given limit and the total value is as large as
possible.
Maximize: 𝑖=1
𝑛
𝑣𝑖 𝑥𝑖
Subject to: 𝑖=1
𝑛
𝑤𝑖 𝑥𝑖 ≤ 𝑊, 𝑥𝑖 ∈ {0,1}
o Few Examples:
o Cargo loading Problem
o Flyaway kit problem
o Project Selection Problem
Operations Research techniques for Industrial Engineers
Application O.R. Techniques:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 13
 Integer Programming: …
o Capacitated Lot Sizing Problem: Minimize Setup & Holding cost subject to
Capacity Constraint.
 CLSP Model:
Minimization 𝑗=1
𝐽
𝑡=1
𝑇
(𝑠𝑗 𝑥𝑗𝑡 + ℎ𝑗 𝐼𝑗𝑡
Subject to: 𝐼𝑗𝑡 = 𝐼𝑗(𝑡−1 + 𝑞 𝑗𝑡 − 𝑑𝑗𝑡 Inventory Balances Const.
𝑝𝑗 𝑞 𝑗𝑡 ≤ 𝐶𝑡 𝑥𝑗𝑡 Production of Item ‘j’ if machine is setup Const.
𝑗=1
𝐽
𝑝𝑗 𝑞 𝑗𝑡 ≤ 𝐶𝑡 Capacity Const.
𝑥𝑗𝑡 ∈ {0, 1}; 𝐼𝑗𝑡, 𝑞 𝑗𝑡 ≥ 0
Operations Research techniques for Industrial Engineers
Application O.R. Techniques:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 14
 Integer Programming: …
o Workload Balancing Problem: Allocation of tasks to employees, so as to
ensure that none of the employees is overworked, while others are partially idle.
o Facility Location Problem: ‘n’ sites in a region require a product; manufactured
by plants in the same region at most ‘m’ sites (of ‘n’ sites) can be selected; How
to locate the manufacturing facilities?
o Traveling Salesman Problem: Given a list of cities and the distances between
each pair of cities, what is the shortest possible route that visits each city exactly
once and returns to the origin city?
o Vehicle Routing Problem:
o Many Many More…
Operations Research techniques for Industrial Engineers
Application O.R. Techniques:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 15
 Network Analysis:
o Maximum Flow Problem, Shortest Path Problem & Minimum Spanning Tree:
o Many Many More…
NODES ARCS FLOW
Communication
systems
phone exchanges,
computers,
Transmission facilities,
Satellites
Cables,
fiber optic links,
microwave relay
links
Voice messages,
Data,
Video transmissions
Hydraulic systems Pumping stations
Reservoirs, Lakes
Pipelines Water, Gas, Oil,
Hydraulic fluids
Mechanical
systems
Joints Rods, Beams,
Springs
Heat, Energy
Integrated
computer circuits
Gates, registers,
processors
Wires Electrical current
Transportation
systems
Intersections,
Airports,
Rail yards
Highways,
Airline routes
Rail birds
Passengers,
cargo,
vehicles,
Operations Research techniques for Industrial Engineers
Application O.R. Techniques:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 16
 Dynamic Programming
o Knapsack Problem
o Shortest Path Problem (Stage Coach Problem)
o Assembly line balancing Problem
o Flow Shop Problem
o Many Many More…
 Simulation:
o Waiting Line Management / Queuing Systems:
o Inventory System
o Many Many More…
 …
Operations Research techniques for Industrial Engineers
Research Journals:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 17
 Few Important Research Journals:
o Operations Research
o Management Science
o Mathematics of Operations Research
o IIE Transactions
o Mathematical Programming
o European Journal of Operational Research
o Journal of the Operational Research Society
o Naval Research Logistics
o Operations Research Letters
o Interfaces (applications oriented)
o Production & Operations Management
o International Journal of Production Economics
o International Journal of Production Research
Operations Research techniques for Industrial Engineers
Some Societies & Professional Bodies:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 18
 IIE (Institute of Industrial Engineering): http://www.iienet2.org/
 INFORMS (Institute for Operations Research and the Management
Sciences): https://www.informs.org/
 POMS (Production & Operations Management Society:
http://www.poms.org/
o APICS (Professional association for supply chain and operations
management) :http://www.apics.org/
Operations Research techniques for Industrial Engineers
Optimization / Simulation Software:
Shanghai Jiao Tong University Hakeem-Ur-Rehman 19
 Optimization Software
o CPlex, Gurabi, AIMMS, Matlab, etc.
 Simulation Software
o Arena, Simlu8, Simio, Flexsim, etc.
 Computer Programming
o C++, Java, Python etc.
Operations Research techniques for Industrial Engineers
Shanghai Jiao Tong University Hakeem-Ur-Rehman 20
ANY QUESTION?
THANKS FOR LISTENING ()
Questions & Answers:
E-mail: Hakeem.rehman@gmail.com

More Related Content

What's hot

engineering
engineering engineering
engineering
advitya kumar
 
What is INDUSTRIAL ENGINEERING?
What is INDUSTRIAL ENGINEERING?What is INDUSTRIAL ENGINEERING?
Additive manufacturing and 3 d printing
Additive manufacturing and 3 d printing Additive manufacturing and 3 d printing
Additive manufacturing and 3 d printing
Shamoon Al Islam
 
FEA good practices presentation
FEA good practices presentationFEA good practices presentation
FEA good practices presentation
Mahdi Damghani
 
Industrial engineering
Industrial engineeringIndustrial engineering
Industrial engineeringBisher Marad
 
Work Study & Productivity
Work Study & ProductivityWork Study & Productivity
Work Study & Productivity
ahmad bassiouny
 
What is a CNC Router Machine
What is a CNC Router MachineWhat is a CNC Router Machine
What is a CNC Router Machine
ferelrew
 
Acceptance sampling
Acceptance samplingAcceptance sampling
Acceptance sampling
Yunesh Senarathna
 
TRAINING REPORT ON CASTING
TRAINING REPORT ON CASTINGTRAINING REPORT ON CASTING
TRAINING REPORT ON CASTING
Pawan Kumar
 
Basics of Industrial Engineering
Basics of Industrial Engineering Basics of Industrial Engineering
Basics of Industrial Engineering
Sanjeev Deshmukh
 
Replacement and Maintenance Analysis
Replacement and Maintenance AnalysisReplacement and Maintenance Analysis
Replacement and Maintenance Analysis
Prabu U
 
Industrial Engineering At A glance.
Industrial Engineering At A glance.Industrial Engineering At A glance.
Industrial Engineering At A glance.
Greejesh Prakash
 
Ppce unit 2- PROCESS PLANNING ACTIVITIES
Ppce unit 2- PROCESS PLANNING ACTIVITIESPpce unit 2- PROCESS PLANNING ACTIVITIES
Ppce unit 2- PROCESS PLANNING ACTIVITIES
Aravind Ra
 
Introduction to value engineering and value analysis
Introduction to value engineering and value analysisIntroduction to value engineering and value analysis
Introduction to value engineering and value analysis
Prathamesh Kadam
 
Industrial engineering intro
Industrial engineering introIndustrial engineering intro
Industrial engineering intro
vishnuvardhinikj
 
Motion economy work design_
Motion economy work design_Motion economy work design_
Motion economy work design_
Selman Kaymaz
 
Introduction of Industrial Engineering
Introduction of Industrial EngineeringIntroduction of Industrial Engineering
Introduction of Industrial Engineering
vijay kumar
 
Process Planning & Cost Estimation
Process Planning & Cost Estimation Process Planning & Cost Estimation
Process Planning & Cost Estimation
Prabhu Bose
 

What's hot (20)

engineering
engineering engineering
engineering
 
PROCESS PLANNING AND COST ESTIMATION
PROCESS PLANNING AND COST ESTIMATIONPROCESS PLANNING AND COST ESTIMATION
PROCESS PLANNING AND COST ESTIMATION
 
What is INDUSTRIAL ENGINEERING?
What is INDUSTRIAL ENGINEERING?What is INDUSTRIAL ENGINEERING?
What is INDUSTRIAL ENGINEERING?
 
Additive manufacturing and 3 d printing
Additive manufacturing and 3 d printing Additive manufacturing and 3 d printing
Additive manufacturing and 3 d printing
 
FEA good practices presentation
FEA good practices presentationFEA good practices presentation
FEA good practices presentation
 
Industrial engineering
Industrial engineeringIndustrial engineering
Industrial engineering
 
Work Study & Productivity
Work Study & ProductivityWork Study & Productivity
Work Study & Productivity
 
What is a CNC Router Machine
What is a CNC Router MachineWhat is a CNC Router Machine
What is a CNC Router Machine
 
Acceptance sampling
Acceptance samplingAcceptance sampling
Acceptance sampling
 
TRAINING REPORT ON CASTING
TRAINING REPORT ON CASTINGTRAINING REPORT ON CASTING
TRAINING REPORT ON CASTING
 
Basics of Industrial Engineering
Basics of Industrial Engineering Basics of Industrial Engineering
Basics of Industrial Engineering
 
Replacement and Maintenance Analysis
Replacement and Maintenance AnalysisReplacement and Maintenance Analysis
Replacement and Maintenance Analysis
 
Industrial Engineering At A glance.
Industrial Engineering At A glance.Industrial Engineering At A glance.
Industrial Engineering At A glance.
 
Ppce unit 2- PROCESS PLANNING ACTIVITIES
Ppce unit 2- PROCESS PLANNING ACTIVITIESPpce unit 2- PROCESS PLANNING ACTIVITIES
Ppce unit 2- PROCESS PLANNING ACTIVITIES
 
Introduction to value engineering and value analysis
Introduction to value engineering and value analysisIntroduction to value engineering and value analysis
Introduction to value engineering and value analysis
 
Industrial engineering intro
Industrial engineering introIndustrial engineering intro
Industrial engineering intro
 
Motion economy work design_
Motion economy work design_Motion economy work design_
Motion economy work design_
 
Introduction of Industrial Engineering
Introduction of Industrial EngineeringIntroduction of Industrial Engineering
Introduction of Industrial Engineering
 
Process Planning & Cost Estimation
Process Planning & Cost Estimation Process Planning & Cost Estimation
Process Planning & Cost Estimation
 
ansys tutorial
ansys tutorialansys tutorial
ansys tutorial
 

Viewers also liked

Qfd house of quality
Qfd house of qualityQfd house of quality
Qfd house of quality
Hakeem-Ur- Rehman
 
(Ntu talk) lean six sigma & scholarship info.
(Ntu talk) lean six sigma & scholarship info.(Ntu talk) lean six sigma & scholarship info.
(Ntu talk) lean six sigma & scholarship info.
Hakeem-Ur- Rehman
 
7. cqia (kaizen, 5 s, tpm)
7. cqia (kaizen, 5 s, tpm)7. cqia (kaizen, 5 s, tpm)
7. cqia (kaizen, 5 s, tpm)
Hakeem-Ur- Rehman
 
PM using P6
PM using P6PM using P6
PM using P6
Hakeem-Ur- Rehman
 
Lean six sigma (green belt)new
Lean six sigma (green belt)newLean six sigma (green belt)new
Lean six sigma (green belt)new
Hakeem-Ur- Rehman
 
Session 2 of programming
Session 2 of programmingSession 2 of programming
Session 2 of programming
Ramy F. Radwan
 
6. assignment problems
6. assignment problems6. assignment problems
6. assignment problems
Hakeem-Ur- Rehman
 
Mendeley (new)
Mendeley (new)Mendeley (new)
Mendeley (new)
Hakeem-Ur- Rehman
 
Into to simulation
Into to simulationInto to simulation
Into to simulation
Hakeem-Ur- Rehman
 
2. cost of quality
2. cost of quality2. cost of quality
2. cost of quality
Hakeem-Ur- Rehman
 
5. transportation problems
5. transportation problems5. transportation problems
5. transportation problems
Hakeem-Ur- Rehman
 
Goal programming
Goal programmingGoal programming
Goal programming
Hakeem-Ur- Rehman
 
Language and Communication
Language and CommunicationLanguage and Communication
Language and Communication
SIR SHAMS' ANGLOPHILE
 
5. advance topics in lp
5. advance topics in lp5. advance topics in lp
5. advance topics in lp
Hakeem-Ur- Rehman
 
Network analysis
Network analysisNetwork analysis
Network analysis
Hakeem-Ur- Rehman
 
fkiQuality overview 2014 09
fkiQuality overview 2014 09fkiQuality overview 2014 09
1.introduction to quality & total quality management
1.introduction to quality & total quality management1.introduction to quality & total quality management
1.introduction to quality & total quality management
Hakeem-Ur- Rehman
 
Integer programming
Integer programmingInteger programming
Integer programming
Hakeem-Ur- Rehman
 

Viewers also liked (20)

Qfd house of quality
Qfd house of qualityQfd house of quality
Qfd house of quality
 
(Ntu talk) lean six sigma & scholarship info.
(Ntu talk) lean six sigma & scholarship info.(Ntu talk) lean six sigma & scholarship info.
(Ntu talk) lean six sigma & scholarship info.
 
7. cqia (kaizen, 5 s, tpm)
7. cqia (kaizen, 5 s, tpm)7. cqia (kaizen, 5 s, tpm)
7. cqia (kaizen, 5 s, tpm)
 
PM using P6
PM using P6PM using P6
PM using P6
 
Lean six sigma (green belt)new
Lean six sigma (green belt)newLean six sigma (green belt)new
Lean six sigma (green belt)new
 
Operational reseach ppt
Operational reseach pptOperational reseach ppt
Operational reseach ppt
 
Session 2 of programming
Session 2 of programmingSession 2 of programming
Session 2 of programming
 
6. assignment problems
6. assignment problems6. assignment problems
6. assignment problems
 
Mendeley (new)
Mendeley (new)Mendeley (new)
Mendeley (new)
 
Into to simulation
Into to simulationInto to simulation
Into to simulation
 
2. cost of quality
2. cost of quality2. cost of quality
2. cost of quality
 
5. transportation problems
5. transportation problems5. transportation problems
5. transportation problems
 
Goal programming
Goal programmingGoal programming
Goal programming
 
Language and Communication
Language and CommunicationLanguage and Communication
Language and Communication
 
5. advance topics in lp
5. advance topics in lp5. advance topics in lp
5. advance topics in lp
 
Network analysis
Network analysisNetwork analysis
Network analysis
 
fkiQuality overview 2014 09
fkiQuality overview 2014 09fkiQuality overview 2014 09
fkiQuality overview 2014 09
 
1.introduction to quality & total quality management
1.introduction to quality & total quality management1.introduction to quality & total quality management
1.introduction to quality & total quality management
 
Integer programming
Integer programmingInteger programming
Integer programming
 
DEA
DEADEA
DEA
 

Similar to Application of or for industrial engineers

Mech vii-operation research [06 me74]-notes
Mech vii-operation research [06 me74]-notesMech vii-operation research [06 me74]-notes
Mech vii-operation research [06 me74]-notesMallikarjunaswamy Swamy
 
M.tech. mechanical engineering 2016 17
M.tech. mechanical engineering 2016 17M.tech. mechanical engineering 2016 17
M.tech. mechanical engineering 2016 17
Piyush Pant
 
Operations Research Digital Material.pdf
Operations Research Digital Material.pdfOperations Research Digital Material.pdf
Operations Research Digital Material.pdf
TANVEERSINGHSOLANKI
 
OR Ndejje Univ.pptx
OR Ndejje Univ.pptxOR Ndejje Univ.pptx
OR Ndejje Univ.pptx
ChandigaRichard1
 
OR Ndejje Univ (1).pptx
OR Ndejje Univ (1).pptxOR Ndejje Univ (1).pptx
OR Ndejje Univ (1).pptx
ChandigaRichard1
 
Assessing the Reliability of a Human Estimator
Assessing the Reliability of a Human EstimatorAssessing the Reliability of a Human Estimator
Assessing the Reliability of a Human Estimator
Tim Menzies
 
Fdp session rtu session 1
Fdp session rtu session 1Fdp session rtu session 1
Fdp session rtu session 1
sprsingh1
 
م.80-مبادرة #تواصل_تطويرم.أحمد سعيد رفاعهى-دورة حياة تقدير التكلفة بمشروعات ا...
م.80-مبادرة #تواصل_تطويرم.أحمد سعيد رفاعهى-دورة حياة تقدير التكلفة بمشروعات ا...م.80-مبادرة #تواصل_تطويرم.أحمد سعيد رفاعهى-دورة حياة تقدير التكلفة بمشروعات ا...
م.80-مبادرة #تواصل_تطويرم.أحمد سعيد رفاعهى-دورة حياة تقدير التكلفة بمشروعات ا...
Egyptian Engineers Association
 
A04230105
A04230105A04230105
A04230105
ijceronline
 
IRJET- Optimization of Cutting Parameters During Turning of AISI 1018 usi...
IRJET-  	  Optimization of Cutting Parameters During Turning of AISI 1018 usi...IRJET-  	  Optimization of Cutting Parameters During Turning of AISI 1018 usi...
IRJET- Optimization of Cutting Parameters During Turning of AISI 1018 usi...
IRJET Journal
 
Computer aided process design and simulation (Cheg.pptx
Computer aided process design and simulation (Cheg.pptxComputer aided process design and simulation (Cheg.pptx
Computer aided process design and simulation (Cheg.pptx
PaulosMekuria
 
Design and development of industrial End effector (gripper)
Design and development of industrial End effector (gripper)Design and development of industrial End effector (gripper)
Design and development of industrial End effector (gripper)
Hrishikesh Mahajan
 
Review of Hooke and Jeeves Direct Search Solution Method Analysis Applicable ...
Review of Hooke and Jeeves Direct Search Solution Method Analysis Applicable ...Review of Hooke and Jeeves Direct Search Solution Method Analysis Applicable ...
Review of Hooke and Jeeves Direct Search Solution Method Analysis Applicable ...
ijiert bestjournal
 
Ansys Institute in Noida.pptx
Ansys Institute in Noida.pptxAnsys Institute in Noida.pptx
Ansys Institute in Noida.pptx
ashishthakur730937
 
Optimization_model_of the propsed kiiraEV assembly lineprstn
Optimization_model_of the propsed kiiraEV assembly lineprstnOptimization_model_of the propsed kiiraEV assembly lineprstn
Optimization_model_of the propsed kiiraEV assembly lineprstnRonald Kayiwa
 
Effective Hybrid Algorithms for No-Wait Flowshop Scheduling Problem
Effective Hybrid Algorithms for No-Wait Flowshop Scheduling ProblemEffective Hybrid Algorithms for No-Wait Flowshop Scheduling Problem
Effective Hybrid Algorithms for No-Wait Flowshop Scheduling Problem
IRJET Journal
 
Automated Sys. Design.11-For LinkedIn
Automated Sys. Design.11-For LinkedInAutomated Sys. Design.11-For LinkedIn
Automated Sys. Design.11-For LinkedInHARDIK MODI
 
Resume Tzu-Chen Wang
Resume Tzu-Chen WangResume Tzu-Chen Wang
Resume Tzu-Chen WangAjax Wang
 
Optimization of process parameter for maximizing Material removal rate in tur...
Optimization of process parameter for maximizing Material removal rate in tur...Optimization of process parameter for maximizing Material removal rate in tur...
Optimization of process parameter for maximizing Material removal rate in tur...
IRJET Journal
 
Larsen,dustin eng resume_june2016 - copy
Larsen,dustin eng resume_june2016 - copyLarsen,dustin eng resume_june2016 - copy
Larsen,dustin eng resume_june2016 - copy
Dustin Larsen
 

Similar to Application of or for industrial engineers (20)

Mech vii-operation research [06 me74]-notes
Mech vii-operation research [06 me74]-notesMech vii-operation research [06 me74]-notes
Mech vii-operation research [06 me74]-notes
 
M.tech. mechanical engineering 2016 17
M.tech. mechanical engineering 2016 17M.tech. mechanical engineering 2016 17
M.tech. mechanical engineering 2016 17
 
Operations Research Digital Material.pdf
Operations Research Digital Material.pdfOperations Research Digital Material.pdf
Operations Research Digital Material.pdf
 
OR Ndejje Univ.pptx
OR Ndejje Univ.pptxOR Ndejje Univ.pptx
OR Ndejje Univ.pptx
 
OR Ndejje Univ (1).pptx
OR Ndejje Univ (1).pptxOR Ndejje Univ (1).pptx
OR Ndejje Univ (1).pptx
 
Assessing the Reliability of a Human Estimator
Assessing the Reliability of a Human EstimatorAssessing the Reliability of a Human Estimator
Assessing the Reliability of a Human Estimator
 
Fdp session rtu session 1
Fdp session rtu session 1Fdp session rtu session 1
Fdp session rtu session 1
 
م.80-مبادرة #تواصل_تطويرم.أحمد سعيد رفاعهى-دورة حياة تقدير التكلفة بمشروعات ا...
م.80-مبادرة #تواصل_تطويرم.أحمد سعيد رفاعهى-دورة حياة تقدير التكلفة بمشروعات ا...م.80-مبادرة #تواصل_تطويرم.أحمد سعيد رفاعهى-دورة حياة تقدير التكلفة بمشروعات ا...
م.80-مبادرة #تواصل_تطويرم.أحمد سعيد رفاعهى-دورة حياة تقدير التكلفة بمشروعات ا...
 
A04230105
A04230105A04230105
A04230105
 
IRJET- Optimization of Cutting Parameters During Turning of AISI 1018 usi...
IRJET-  	  Optimization of Cutting Parameters During Turning of AISI 1018 usi...IRJET-  	  Optimization of Cutting Parameters During Turning of AISI 1018 usi...
IRJET- Optimization of Cutting Parameters During Turning of AISI 1018 usi...
 
Computer aided process design and simulation (Cheg.pptx
Computer aided process design and simulation (Cheg.pptxComputer aided process design and simulation (Cheg.pptx
Computer aided process design and simulation (Cheg.pptx
 
Design and development of industrial End effector (gripper)
Design and development of industrial End effector (gripper)Design and development of industrial End effector (gripper)
Design and development of industrial End effector (gripper)
 
Review of Hooke and Jeeves Direct Search Solution Method Analysis Applicable ...
Review of Hooke and Jeeves Direct Search Solution Method Analysis Applicable ...Review of Hooke and Jeeves Direct Search Solution Method Analysis Applicable ...
Review of Hooke and Jeeves Direct Search Solution Method Analysis Applicable ...
 
Ansys Institute in Noida.pptx
Ansys Institute in Noida.pptxAnsys Institute in Noida.pptx
Ansys Institute in Noida.pptx
 
Optimization_model_of the propsed kiiraEV assembly lineprstn
Optimization_model_of the propsed kiiraEV assembly lineprstnOptimization_model_of the propsed kiiraEV assembly lineprstn
Optimization_model_of the propsed kiiraEV assembly lineprstn
 
Effective Hybrid Algorithms for No-Wait Flowshop Scheduling Problem
Effective Hybrid Algorithms for No-Wait Flowshop Scheduling ProblemEffective Hybrid Algorithms for No-Wait Flowshop Scheduling Problem
Effective Hybrid Algorithms for No-Wait Flowshop Scheduling Problem
 
Automated Sys. Design.11-For LinkedIn
Automated Sys. Design.11-For LinkedInAutomated Sys. Design.11-For LinkedIn
Automated Sys. Design.11-For LinkedIn
 
Resume Tzu-Chen Wang
Resume Tzu-Chen WangResume Tzu-Chen Wang
Resume Tzu-Chen Wang
 
Optimization of process parameter for maximizing Material removal rate in tur...
Optimization of process parameter for maximizing Material removal rate in tur...Optimization of process parameter for maximizing Material removal rate in tur...
Optimization of process parameter for maximizing Material removal rate in tur...
 
Larsen,dustin eng resume_june2016 - copy
Larsen,dustin eng resume_june2016 - copyLarsen,dustin eng resume_june2016 - copy
Larsen,dustin eng resume_june2016 - copy
 

More from Hakeem-Ur- Rehman

Queueing theory
Queueing theoryQueueing theory
Queueing theory
Hakeem-Ur- Rehman
 
Ilp modeling with excel
Ilp modeling with excelIlp modeling with excel
Ilp modeling with excel
Hakeem-Ur- Rehman
 
Process improvement techniques
Process improvement techniquesProcess improvement techniques
Process improvement techniques
Hakeem-Ur- Rehman
 
Production planning & control (PPC)
Production planning & control (PPC)Production planning & control (PPC)
Production planning & control (PPC)
Hakeem-Ur- Rehman
 
4. linear programming using excel solver
4. linear programming using excel solver4. linear programming using excel solver
4. linear programming using excel solver
Hakeem-Ur- Rehman
 
2. lp iterative methods
2. lp   iterative methods2. lp   iterative methods
2. lp iterative methods
Hakeem-Ur- Rehman
 
3. linear programming senstivity analysis
3. linear programming senstivity analysis3. linear programming senstivity analysis
3. linear programming senstivity analysis
Hakeem-Ur- Rehman
 
1. intro. to or & lp
1. intro. to or & lp1. intro. to or & lp
1. intro. to or & lp
Hakeem-Ur- Rehman
 
13. value stream mapping
13. value stream mapping13. value stream mapping
13. value stream mapping
Hakeem-Ur- Rehman
 
12. seven management & planning tools
12. seven management & planning tools12. seven management & planning tools
12. seven management & planning tools
Hakeem-Ur- Rehman
 
11. faliure mode & effect analysis
11. faliure mode & effect analysis11. faliure mode & effect analysis
11. faliure mode & effect analysis
Hakeem-Ur- Rehman
 
10. measurement system analysis (msa)
10. measurement system analysis (msa)10. measurement system analysis (msa)
10. measurement system analysis (msa)
Hakeem-Ur- Rehman
 
9. design of experiment
9. design of experiment9. design of experiment
9. design of experiment
Hakeem-Ur- Rehman
 
8. testing of hypothesis for variable & attribute data
8. testing of hypothesis for variable & attribute  data8. testing of hypothesis for variable & attribute  data
8. testing of hypothesis for variable & attribute data
Hakeem-Ur- Rehman
 

More from Hakeem-Ur- Rehman (14)

Queueing theory
Queueing theoryQueueing theory
Queueing theory
 
Ilp modeling with excel
Ilp modeling with excelIlp modeling with excel
Ilp modeling with excel
 
Process improvement techniques
Process improvement techniquesProcess improvement techniques
Process improvement techniques
 
Production planning & control (PPC)
Production planning & control (PPC)Production planning & control (PPC)
Production planning & control (PPC)
 
4. linear programming using excel solver
4. linear programming using excel solver4. linear programming using excel solver
4. linear programming using excel solver
 
2. lp iterative methods
2. lp   iterative methods2. lp   iterative methods
2. lp iterative methods
 
3. linear programming senstivity analysis
3. linear programming senstivity analysis3. linear programming senstivity analysis
3. linear programming senstivity analysis
 
1. intro. to or & lp
1. intro. to or & lp1. intro. to or & lp
1. intro. to or & lp
 
13. value stream mapping
13. value stream mapping13. value stream mapping
13. value stream mapping
 
12. seven management & planning tools
12. seven management & planning tools12. seven management & planning tools
12. seven management & planning tools
 
11. faliure mode & effect analysis
11. faliure mode & effect analysis11. faliure mode & effect analysis
11. faliure mode & effect analysis
 
10. measurement system analysis (msa)
10. measurement system analysis (msa)10. measurement system analysis (msa)
10. measurement system analysis (msa)
 
9. design of experiment
9. design of experiment9. design of experiment
9. design of experiment
 
8. testing of hypothesis for variable & attribute data
8. testing of hypothesis for variable & attribute  data8. testing of hypothesis for variable & attribute  data
8. testing of hypothesis for variable & attribute data
 

Recently uploaded

Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
AJAYKUMARPUND1
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
bakpo1
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
Amil Baba Dawood bangali
 
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
MdTanvirMahtab2
 
DfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributionsDfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributions
gestioneergodomus
 
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdfTop 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Teleport Manpower Consultant
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
JoytuBarua2
 
DESIGN A COTTON SEED SEPARATION MACHINE.docx
DESIGN A COTTON SEED SEPARATION MACHINE.docxDESIGN A COTTON SEED SEPARATION MACHINE.docx
DESIGN A COTTON SEED SEPARATION MACHINE.docx
FluxPrime1
 
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdfAKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
SamSarthak3
 
AP LAB PPT.pdf ap lab ppt no title specific
AP LAB PPT.pdf ap lab ppt no title specificAP LAB PPT.pdf ap lab ppt no title specific
AP LAB PPT.pdf ap lab ppt no title specific
BrazilAccount1
 
block diagram and signal flow graph representation
block diagram and signal flow graph representationblock diagram and signal flow graph representation
block diagram and signal flow graph representation
Divya Somashekar
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
Pratik Pawar
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
Massimo Talia
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
Kamal Acharya
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation & Control
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
Kamal Acharya
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
Robbie Edward Sayers
 
Building Electrical System Design & Installation
Building Electrical System Design & InstallationBuilding Electrical System Design & Installation
Building Electrical System Design & Installation
symbo111
 
Unbalanced Three Phase Systems and circuits.pptx
Unbalanced Three Phase Systems and circuits.pptxUnbalanced Three Phase Systems and circuits.pptx
Unbalanced Three Phase Systems and circuits.pptx
ChristineTorrepenida1
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
ydteq
 

Recently uploaded (20)

Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
Pile Foundation by Venkatesh Taduvai (Sub Geotechnical Engineering II)-conver...
 
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
 
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...
 
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
 
DfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributionsDfMAy 2024 - key insights and contributions
DfMAy 2024 - key insights and contributions
 
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdfTop 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
 
DESIGN A COTTON SEED SEPARATION MACHINE.docx
DESIGN A COTTON SEED SEPARATION MACHINE.docxDESIGN A COTTON SEED SEPARATION MACHINE.docx
DESIGN A COTTON SEED SEPARATION MACHINE.docx
 
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdfAKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
AKS UNIVERSITY Satna Final Year Project By OM Hardaha.pdf
 
AP LAB PPT.pdf ap lab ppt no title specific
AP LAB PPT.pdf ap lab ppt no title specificAP LAB PPT.pdf ap lab ppt no title specific
AP LAB PPT.pdf ap lab ppt no title specific
 
block diagram and signal flow graph representation
block diagram and signal flow graph representationblock diagram and signal flow graph representation
block diagram and signal flow graph representation
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
 
Student information management system project report ii.pdf
Student information management system project report ii.pdfStudent information management system project report ii.pdf
Student information management system project report ii.pdf
 
HYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generationHYDROPOWER - Hydroelectric power generation
HYDROPOWER - Hydroelectric power generation
 
Building Electrical System Design & Installation
Building Electrical System Design & InstallationBuilding Electrical System Design & Installation
Building Electrical System Design & Installation
 
Unbalanced Three Phase Systems and circuits.pptx
Unbalanced Three Phase Systems and circuits.pptxUnbalanced Three Phase Systems and circuits.pptx
Unbalanced Three Phase Systems and circuits.pptx
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
 

Application of or for industrial engineers

  • 1. Application of Operations Research Techniques for Industrial Engineers Shanghai Jiao Tong University Hakeem-Ur-Rehman 1 Operations Research techniques for Industrial Engineers “OR:THE SCIENCE OF BETTER” Presented By: Hakeem–Ur–Rehman PhD (Scholar)–Management Science & Engineering Major in (Logistics & Operations Management) Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai, China
  • 2. Operations Research techniques for Industrial Engineers Outline: Shanghai Jiao Tong University Hakeem-Ur-Rehman 2  Defining Industrial Engineering (IE) & Operations Research (OR)  Application of OR techniques (with few examples)  Research Journals  Societies & Professional Bodies  Optimization / Simulation Software
  • 3. Operations Research techniques for Industrial Engineers What is Industrial Engineering: Shanghai Jiao Tong University Hakeem-Ur-Rehman 2  Industrial Engineering is concerned with the design, improvement, and installation of integrated systems of men, materials, equipment and energy. It draws upon specialized knowledge and skill in the mathematical, physical and social sciences together with the principles and methods of engineering analysis and design to specify, predict, and evaluate the results to be obtained from such systems. (American Institute of Industrial Engineers) Industrial Engineering Operations Research Production & Supply Chain Manufacturing Processes & Systems Ergonomics Industrial Engineering at the Undergraduate Level is generally seen as a composition of four areas.
  • 4. Operations Research techniques for Industrial Engineers What is Operations Research: Shanghai Jiao Tong University Hakeem-Ur-Rehman 4  Optimal decision-making in, and modeling of, deterministic and probabilistic systems that originate from real life. These applications, which occur in government, business, engineering, economics, and the natural and social sciences, are largely characterized by the need to allocate limited resources. In these situations, considerable insight can be obtained from scientific analysis, such as that provided by Operations Research. (Hiller– Lieberman) TECHNIQUES Deterministic OR Stochastic OR Heuristics Meta-heuristics (OR/MS) o Linear Programming o Integer Programming o Network Analysis o Dynamic Programming o Non-linear Programming o … o Queuing Theory o Decision Theory o Monte Carlo Markov Chain o Markov Decision Process o Simulation o … o Problem Based o Simulated Annealing o Neural Network o Genetic Algorithms o Ant Colony Optimization o …  OR: a new field which started in the late 1930's and has grown and expanded tremendously in the last 30 years
  • 5. Operations Research techniques for Industrial Engineers Application O.R. Techniques: Shanghai Jiao Tong University Hakeem-Ur-Rehman 5  LINEAR PROGRAMMING o Resource Allocation Problems: Attempt to allocate a limited resource so as to optimize the consequence of that allocation. 𝑴𝒂𝒙𝒊𝒎𝒊𝒛𝒆 Prof𝑖𝑡 = 𝑗=1 𝑛 𝑝𝑗 𝑥𝑗 Subject to: 𝑗=1 𝑛 𝑎𝑖𝑗 𝑥𝑗 ≤ 𝑏𝑖 𝑓𝑜𝑟 𝑖 = 1,2, . . . , 𝑚 𝑥𝑗 ≥ 0 𝑓𝑜𝑟 𝑗 = 1,2, . . . , 𝑛 General Resource Allocation Model: Parameters: • n = # of activities (e.g.: products etc.) • m = # of Resources (e.g. Machines etc.) • 𝑝𝑗 = Profit for activity ‘𝑗’ • 𝑏𝑖 = Amount available of resource ‘𝑖’ • 𝑎𝑖𝑗 = Amount of resource ‘𝑖’ used by a unit of activity ‘𝑗’ Decision Variables: • 𝑥𝑗 = Amount of activity ‘𝑗’ selected Machine Quantity Prodcut-1 Prodcut-2 Prodcut-3 Prodcut-4 Prodcut-5 M1 4 1.2 1.3 0.7 0.0 0.5 M2 5 0.7 2.2 1.6 0.5 1.0 M3 3 0.9 0.7 1.3 1.0 0.8 M4 7 1.4 2.8 0.5 1.2 0.6 Unit Profit ($) 18 25 10 12 15 EXAMPLE: Machine data and processing requirements (hrs./unit) Number of hours available on each machine type = 40
  • 6. Operations Research techniques for Industrial Engineers Application O.R. Techniques: Shanghai Jiao Tong University Hakeem-Ur-Rehman 6  LINEAR PROGRAMMING … o Data Envelopment Analysis: (developed by Charles, Cooper and Rhodes (1978)) is an application of linear programming that deals with the comparison of different decision making units (DMUs), with respect to their efficiencies such as branches of a fast-food chain, automobile dealerships selling the same brand, etc. General Basic DEA (CCR) Model: 𝑀𝑎𝑥 𝑣,𝑢 𝜃 = 𝑟=1 𝑠 𝑢 𝑟 𝑦𝑟𝑝 𝑖=1 𝑚 𝑣𝑖 𝑥𝑖𝑝 ∀ 𝑝 = 1,2, . . . , 𝑛 Subject to: 𝑟=1 𝑠 𝑢 𝑟 𝑦 𝑟𝑗 𝑖=1 𝑚 𝑣𝑖 𝑥𝑖𝑗 ≤ 1∀𝑗 = 1,2, . . . , 𝑛 𝑢 𝑟, 𝑣𝑖 ≥ 0  Examples: DMU: Banks, schools, … Input: Labor, Capital, … Output: Revenues, Profit … DEA Vs Regression line
  • 7. Operations Research techniques for Industrial Engineers Application O.R. Techniques: Shanghai Jiao Tong University Hakeem-Ur-Rehman 6  LINEAR PROGRAMMING … o Data Envelopment Analysis: … Example: DMU Output (Units/day) Inputs Material (cost ‘$’) Labor (Hours) Factory-1 100 10 2 Factory-2 80 8 4 Factory-3 120 12 1.5 Max. 𝜃 = (𝑢1 ∗ 100 ( 𝑣1 ∗ 10 + 𝑣2 ∗ 2 For Factory-1: S.t.: (𝑢1 ∗ 100 ( 𝑣1 ∗ 10 + 𝑣2 ∗ 2 ≤ 1 (𝑢1 ∗ 120 ( 𝑣1 ∗ 12 + 𝑣2 ∗ 1.5 ≤ 1 (𝑢1 ∗ 80 ( 𝑣1 ∗ 8 + 𝑣2 ∗ 4 ≤ 1 Similarly do it for factory-2 & factory-3; then compare the objective function values
  • 8. Operations Research techniques for Industrial Engineers Application O.R. Techniques: Shanghai Jiao Tong University Hakeem-Ur-Rehman 7  LINEAR PROGRAMMING… o Cutting Stock Problems: Cutting the material in certain shapes and sizes, in order to generate certain desired shapes and sizes, so as to minimize cost etc. o One–dimensional, Two–dimensional & Three–dimensional cutting stock problem o Example: A stock roll is cut into given sizes so that demand of each product is satisfied. o A solution is specified by o Cutting Patterns: a pattern is a set of products whose total length is not more than ‘L’ o Frequency: the number of times each cutting pattern is applied.
  • 9. Operations Research techniques for Industrial Engineers Application O.R. Techniques: Shanghai Jiao Tong University Hakeem-Ur-Rehman 9  LINEAR PROGRAMMING…(Cutting Stock Problems) Parameters: o ‘𝑚’ available lengths for which there are supplies of ‘𝑠𝑖’, ‘𝑖 = 1,2, … , 𝑚’ o ‘𝑝’ desired lengths for which demands are ‘𝑑 𝑘’, ‘k = 1,2, … , 𝑝’ o ‘ 𝑛 ’ distinct cutting patterns (‘ j = 1,2, … , 𝑛’) o 𝑎 𝑘𝑗 = # of desired lengths ‘k’ according to pattern ‘j’ o 𝑇𝑖 = A set of all patterns ‘j’ that use the available length ‘𝑖’ o 𝑐𝑗 = cost of cutting pattern ‘j’ o 𝑐 𝑘 ∗ = cost per unit of length ‘k’ General Model: 𝑀𝑖𝑛. 𝑍 = 𝑗 𝑐𝑗 𝑥𝑗 + 𝑘 𝑐 𝑘 ∗ 𝑦 𝑘 Subject to: 𝑗∈𝑇𝑖 𝑥𝑗 ≤ 𝑠𝑖 ∀ 𝑖 = 1,2, … , 𝑚 𝑗 𝑎 𝑘𝑗 𝑥𝑗 + 𝑦 𝑘 ≥ 𝑑 𝑘 ∀ 𝑘 = 1,2, … , 𝑝 𝑥𝑗, 𝑦 𝑘 ≥ 0; ∀ 𝑗 = 1,2, … , 𝑛 ; 𝑘 = 1,2, … , 𝑝 Decision Variables: o 𝑥𝑗 = Number of time we cut the jth pattern o 𝑦 𝑘 = Number of desired length ‘k’ purchased
  • 10. Operations Research techniques for Industrial Engineers Application O.R. Techniques: Shanghai Jiao Tong University Hakeem-Ur-Rehman 10  LINEAR PROGRAMMING…(Cutting Stock Problems)…EXAMPLE EXAMPLE: A firm has an inventory of one hundred and twenty (120), 20-ft rods, one hundred and sixty (160), 15ft rods, and forty (40), 8-ft rods. Their customers demand two hundred 10- ft rods, and two hundred and fifty 6-ft rods. Each cut costs 30¢, while buying the rods costs 50¢ and 25¢, respectively, for the 10-ft and 6-ft rods. Given the above information, we can now determine the cutting plan shown in figure…
  • 11. Operations Research techniques for Industrial Engineers Application O.R. Techniques: Shanghai Jiao Tong University Hakeem-Ur-Rehman 11  LINEAR PROGRAMMING… o Production & Inventory Planning: minimizing production & inventory holding cost subject to meeting the customer demand & Take care of Capacity constraint. o Employee Scheduling Problems: Scheduling problem that assigns employees to shifts o Transportation & Transshipment Problems o Assignment Problem o Many Many More…
  • 12. Operations Research techniques for Industrial Engineers Application O.R. Techniques: Shanghai Jiao Tong University Hakeem-Ur-Rehman 12  Integer Programming: o Knapsack Problem: Given a set of items, each with a mass and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as large as possible. Maximize: 𝑖=1 𝑛 𝑣𝑖 𝑥𝑖 Subject to: 𝑖=1 𝑛 𝑤𝑖 𝑥𝑖 ≤ 𝑊, 𝑥𝑖 ∈ {0,1} o Few Examples: o Cargo loading Problem o Flyaway kit problem o Project Selection Problem
  • 13. Operations Research techniques for Industrial Engineers Application O.R. Techniques: Shanghai Jiao Tong University Hakeem-Ur-Rehman 13  Integer Programming: … o Capacitated Lot Sizing Problem: Minimize Setup & Holding cost subject to Capacity Constraint.  CLSP Model: Minimization 𝑗=1 𝐽 𝑡=1 𝑇 (𝑠𝑗 𝑥𝑗𝑡 + ℎ𝑗 𝐼𝑗𝑡 Subject to: 𝐼𝑗𝑡 = 𝐼𝑗(𝑡−1 + 𝑞 𝑗𝑡 − 𝑑𝑗𝑡 Inventory Balances Const. 𝑝𝑗 𝑞 𝑗𝑡 ≤ 𝐶𝑡 𝑥𝑗𝑡 Production of Item ‘j’ if machine is setup Const. 𝑗=1 𝐽 𝑝𝑗 𝑞 𝑗𝑡 ≤ 𝐶𝑡 Capacity Const. 𝑥𝑗𝑡 ∈ {0, 1}; 𝐼𝑗𝑡, 𝑞 𝑗𝑡 ≥ 0
  • 14. Operations Research techniques for Industrial Engineers Application O.R. Techniques: Shanghai Jiao Tong University Hakeem-Ur-Rehman 14  Integer Programming: … o Workload Balancing Problem: Allocation of tasks to employees, so as to ensure that none of the employees is overworked, while others are partially idle. o Facility Location Problem: ‘n’ sites in a region require a product; manufactured by plants in the same region at most ‘m’ sites (of ‘n’ sites) can be selected; How to locate the manufacturing facilities? o Traveling Salesman Problem: Given a list of cities and the distances between each pair of cities, what is the shortest possible route that visits each city exactly once and returns to the origin city? o Vehicle Routing Problem: o Many Many More…
  • 15. Operations Research techniques for Industrial Engineers Application O.R. Techniques: Shanghai Jiao Tong University Hakeem-Ur-Rehman 15  Network Analysis: o Maximum Flow Problem, Shortest Path Problem & Minimum Spanning Tree: o Many Many More… NODES ARCS FLOW Communication systems phone exchanges, computers, Transmission facilities, Satellites Cables, fiber optic links, microwave relay links Voice messages, Data, Video transmissions Hydraulic systems Pumping stations Reservoirs, Lakes Pipelines Water, Gas, Oil, Hydraulic fluids Mechanical systems Joints Rods, Beams, Springs Heat, Energy Integrated computer circuits Gates, registers, processors Wires Electrical current Transportation systems Intersections, Airports, Rail yards Highways, Airline routes Rail birds Passengers, cargo, vehicles,
  • 16. Operations Research techniques for Industrial Engineers Application O.R. Techniques: Shanghai Jiao Tong University Hakeem-Ur-Rehman 16  Dynamic Programming o Knapsack Problem o Shortest Path Problem (Stage Coach Problem) o Assembly line balancing Problem o Flow Shop Problem o Many Many More…  Simulation: o Waiting Line Management / Queuing Systems: o Inventory System o Many Many More…  …
  • 17. Operations Research techniques for Industrial Engineers Research Journals: Shanghai Jiao Tong University Hakeem-Ur-Rehman 17  Few Important Research Journals: o Operations Research o Management Science o Mathematics of Operations Research o IIE Transactions o Mathematical Programming o European Journal of Operational Research o Journal of the Operational Research Society o Naval Research Logistics o Operations Research Letters o Interfaces (applications oriented) o Production & Operations Management o International Journal of Production Economics o International Journal of Production Research
  • 18. Operations Research techniques for Industrial Engineers Some Societies & Professional Bodies: Shanghai Jiao Tong University Hakeem-Ur-Rehman 18  IIE (Institute of Industrial Engineering): http://www.iienet2.org/  INFORMS (Institute for Operations Research and the Management Sciences): https://www.informs.org/  POMS (Production & Operations Management Society: http://www.poms.org/ o APICS (Professional association for supply chain and operations management) :http://www.apics.org/
  • 19. Operations Research techniques for Industrial Engineers Optimization / Simulation Software: Shanghai Jiao Tong University Hakeem-Ur-Rehman 19  Optimization Software o CPlex, Gurabi, AIMMS, Matlab, etc.  Simulation Software o Arena, Simlu8, Simio, Flexsim, etc.  Computer Programming o C++, Java, Python etc.
  • 20. Operations Research techniques for Industrial Engineers Shanghai Jiao Tong University Hakeem-Ur-Rehman 20 ANY QUESTION? THANKS FOR LISTENING () Questions & Answers: E-mail: Hakeem.rehman@gmail.com

Editor's Notes

  1. Allocation Problems: Attempt to allocate a limited resource so as to optimize the consequence of that allocation. (Machine) time to individual goods in the manufacturing of products Manpower to sales and administrative positions; etc. Number of Nurses to operations theaters Number of Buses to different routes
  2. Allocation Problems: Attempt to allocate a limited resource so as to optimize the consequence of that allocation. (Machine) time to individual goods in the manufacturing of products Manpower to sales and administrative positions; etc.
  3. Allocation Problems: Attempt to allocate a limited resource so as to optimize the consequence of that allocation. (Machine) time to individual goods in the manufacturing of products Manpower to sales and administrative positions; etc.
  4. Allocation Problems: Attempt to allocate a limited resource so as to optimize the consequence of that allocation. (Machine) time to individual goods in the manufacturing of products Manpower to sales and administrative positions; etc.
  5. Allocation Problems: Attempt to allocate a limited resource so as to optimize the consequence of that allocation. (Machine) time to individual goods in the manufacturing of products Manpower to sales and administrative positions; etc.
  6. Allocation Problems: Attempt to allocate a limited resource so as to optimize the consequence of that allocation. (Machine) time to individual goods in the manufacturing of products Manpower to sales and administrative positions; etc.
  7. Allocation Problems: Attempt to allocate a limited resource so as to optimize the consequence of that allocation. (Machine) time to individual goods in the manufacturing of products Manpower to sales and administrative positions; etc.
  8. Allocation Problems: Attempt to allocate a limited resource so as to optimize the consequence of that allocation. (Machine) time to individual goods in the manufacturing of products Manpower to sales and administrative positions; etc.
  9. Allocation Problems: Attempt to allocate a limited resource so as to optimize the consequence of that allocation. (Machine) time to individual goods in the manufacturing of products Manpower to sales and administrative positions; etc.
  10. Allocation Problems: Attempt to allocate a limited resource so as to optimize the consequence of that allocation. (Machine) time to individual goods in the manufacturing of products Manpower to sales and administrative positions; etc.
  11. Allocation Problems: Attempt to allocate a limited resource so as to optimize the consequence of that allocation. (Machine) time to individual goods in the manufacturing of products Manpower to sales and administrative positions; etc.
  12. Allocation Problems: Attempt to allocate a limited resource so as to optimize the consequence of that allocation. (Machine) time to individual goods in the manufacturing of products Manpower to sales and administrative positions; etc.