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SPPU
BE CIVIL ENGINEERNG
Construction Management
© Mr. Shrikant R. Kate 1
Unit :4A
Risk Management
Shrikant R. Kate
BE Civil, M Tech Construction Management
Syllabus
• Elements of risk management and value engineering.
• Risk management. Introduction, principles, types,
origin, risk control, use of mathematical models:
sensitivity analysis
• Break even analysis, simulation analysis, decision tree
analysis
• Risk identification, analysis and mitigation of project
risks, role of insurance in risk management
• Value engineering Meaning of value, value analysis,
value engineering and value management
• Energy resources, consumption patterns, energy cost
escalation and its impact.
© Mr. Shrikant R. Kate 2
Introduction
• Risk – possibility of exposing to danger,
hazard, loss, injury, etc.
• From investment point of view, RISK can be
defined as variability of returns
• Types:
© Mr. Shrikant R. Kate 3
Risk
Credit Risk
Interest
Rate Risk
Market Risk
Liquidity
Risk
Operational
Risk
© Mr. Shrikant R. Kate 4
Identification of risk
Risk Management
Risk Mitigation
Risk Transfer
Risk Deferred
Risk Reduction
Risk Acceptance
Risk Avoidance
Risk Sharing
Risk Monitoring and Control
S
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Benefits of Managing Project Risks
• All the issue/ problems of the project are classified,
understood and allowed for right from the start
• Pre planned contingency plan provides clearer
definition of the specific risk associated with the
project
• Risk response decisions are supported through analysis
of available data
• It will encourage problem solving and provides
innovative solution to risk problems with a project
• Creates environment for efficiently and effectively
manage the risk and it will be helpful to aware people
in risky situation well in advance
© Mr. Shrikant R. Kate 5
Role of Risk Manager
• To identify, analysis and evaluate the risk with
required effects and causes
• Categorised risk according to their severity i.e.
normal, insignificant and serious risk
• With the help of effective project management
tool find out suitable mitigation techniques
• Train the employees in organization i.e. provision
of safety
• Training programs
• Preparation of report which is effective in
decision making
• Review of risk throughout the project
© Mr. Shrikant R. Kate 6
Risk Management and Insurance
• Risk management includes insurance coverage
which is used to minimize the cost associated
with certain type of risk
• It deals with pure risk which may cause
financial loss
• Pure risk can again classified as:
© Mr. Shrikant R. Kate 7
Risk
Property
Risk
Liability
Risk
Personnel
Risk
A. Property Risk : loss of property from natural
causes or fire, loss in business during
repairing work
B. Liability Risk : Injury or death of employees,
violations of law and regulations,
mistreatment to employee
C. Personnel Risk : loss of key personnel
© Mr. Shrikant R. Kate 8
Tools for Risk Analysis
1. Break-Even Analysis
2. Decision Tree Analysis
3. Simulation
4. Sensitivity Analysis
© Mr. Shrikant R. Kate 9
Break-Even Analysis
• Break-even analysis is a study of costs, revenues and
sales of a firm and finding out the volume of sales
where the firm’s costs and revenues will be equal.
• The Break-even point is the zone of no-profit and no-
loss as the costs equal revenues.
• Uses:
1. Determination of sales price which will be helpful for
getting desired profit
2. Fixation of sale volume level to cover a given return
on capital employed
3. Forecasting costs and profits as a result of change in
volume
4. Determination of costs and revenue at various levels
of output
5. Impact of increase or decrease in fixed and variable
cost on profit © Mr. Shrikant R. Kate 10
Example
OUTPUT IN
UNITS
TOTAL
REVENUE
PRICE RS.4/-
PER UNIT
TOTAL FIXED
COST
TOTAL
VARIABLE
COST
TOTAL COST
0 0 300 0 300
100 400 300 300 600
200 800 300 300 600
300 1200 300 900 1200
400 1600 300 1200 1500
500 2000 300 1500 1800
600 2400 300 1800 2100
© Mr. Shrikant R. Kate 11
Assumptions
• Some assumptions are made in illustrating the
BEP:
1. The price of the commodity is kept constant at
Rs.4/- per unit. i.e., perfect competition is
assumed.
2. Therefore, the total revenue is increasing
proportionately to output.
3. All the units of output are sold out. The total
fixed cost is kept constant at Rs.300/- at all levels
of output.
4. Then total variable cost is assumed to be
increasing by a given amount throughout.
© Mr. Shrikant R. Kate 12
© Mr. Shrikant R. Kate 13
Decision Tree Analysis
• A decision tree is a decision support tool that
uses a tree-like graph or model of decisions and
their possible consequences, including chance
event outcomes, resource costs, and utility. It is
one way to display an algorithm that only
contains conditional control statements.
• Decision trees are commonly used in operations
research, specifically in decision analysis, to help
identify a strategy most likely to reach a goal, but
are also a popular tool in machine learning.
© Mr. Shrikant R. Kate 14
© Mr. Shrikant R. Kate 15
© Mr. Shrikant R. Kate 16
• Advantages:
1. Simple to understand and interpret
2. Allows addition of new possibilities
3. Helps to find out worst, best and expected
values of different scenarios
• Disadvantages:
1. If any value is not fixed then calculations
become more complex
2. For data it include more categorical variables
with different number and levels
© Mr. Shrikant R. Kate 17
Sources of Risk
A. External environmental sources:
1) Political and Legal
2) Design and Specification
3) Financial and Economic
B. External environment unknown uncertainties:
1) Natural calamities
2) Ecological
3) Safety and Health
C. Internal environmental sources:
1) Scope change, time overrun and cost overrun
2) Change in technology
3) Quality and specification failures
4) Leadership and organizational failure
5) Resource failure
6) Contractor failure © Mr. Shrikant R. Kate 18
Risk check list for building project
1. Project scope risk
2. Design and specification risk
3. Quality risk
4. Time overrun risk
5. Cost overrun
6. Leadership risk
7. Organisational risk
8. Physical resources mobilization and utilization risk
9. Technology risk
10. Contractual risk
11. Political, legal and social risk
12. Financial and economic risk
13. Safety, health and environment risk
14. Funding failure risk
15. Communication and network failure risk© Mr. Shrikant R. Kate 19
Simulation
• Simulation is an imitation of reality
• Ex. Testing of aircraft model in a wind tunnel from
which we determine the performance of actual
aircraft under real operating condition
• Types:
1. Continuous models: Deals with system whose
behavior changes continuously with time
2. Discrete models: Deals primarily with the study
of waiting lines, with the objective of
determining such measure as the average
waiting time and the length of queue.
© Mr. Shrikant R. Kate 20
© Mr. Shrikant R. Kate 21
Advantages of Simulation
• Many important managerial decision problems
are too intricate to be solved by mathematical
programming and experimentation with the
actual system, even if possible is too costly and
risky.
• Through simulation, management can foresee
the difficulties and bottlenecks which may come
due to the introduction of new machines,
equipment or process. It thus eliminates need of
costly trial and error method of trying out the
new concept on real method and equipment.
© Mr. Shrikant R. Kate 22
Advantages of Simulation
• Simulation has advantage of being relatively free
from mathematics and thus can be easily
understood by the operating personnel and non
technical managers. This helps in getting the
proposed plans accepted and implemented
• Simulation model are comparatively flexible and
can be modified to accommodate the changing
environment of the real simulations
• Computer simulation can compress the
performance of system over several years and
involving large calculation into a few minutes of
computer running time
© Mr. Shrikant R. Kate 23
Limitations of Simulation
• If a particular type of problem can be well
represented by mathematical model the
analytical approach is considered to be more
economical, accurate and reliable
• Simulation does not produce optimum result
• In very large and complex problem, the large
number of variables and the inter relationship
between them make the problem very
unwisely and hard to program
• Simulation is by no means a cheap method of
analysis
© Mr. Shrikant R. Kate 24
Applications of Simulation
• Simulation is quite versatile and commonly applied
technique for solving decision problem
• In the field of basic science it has been used to
evaluate the area under curve, to estimate the value of
phi in matrix, inversion and study of particle diffusion
• In industrial problem including the shop floor
management, design of computer system, design of
queuing system, inventory control, communication
network, chemical processes, nuclear reactor and
scheduling of production process
• In business and economic problems, including
customer behavior, price determination, economy
forecasting and capital budgeting
• In the study of project involving risky investments
© Mr. Shrikant R. Kate 25
Monte Carlo Simulation
• This method was developed during world war
2 to study how far neutrons would travel
through different materials
• The technique employs random number and is
used to solve problems that involve
probability and wherein physical
experimentation is impracticable and
formulation of mathematical model is
impossible.
© Mr. Shrikant R. Kate 26
Sensitivity Analysis
• From All our possible decision , we take final
decision as acceptance and rejection of proposal.
• We Select one alternative from different possible
alternatives.
• In such case, we consider value of different
variable like, initial cost , receipts, interest rate.
• The effect of such variations are taken into
account in sensitivity analysis.
• So Manager will get idea about the effect of these
variables, to take appropriate decision.
© Mr. Shrikant R. Kate 27
Sensitivity Analysis
• sensitivity analysis is used where accurate value
of variable are not known.
• The calculation are repeated but with one
variable altered by known amount.
• To find out what will happen to net present worth
wrt some investment , when value like incoming
or outgoing value varies from fix values.
• sensitivity analysis help for decision of proposal
acceptance and rejection , economic decision.
© Mr. Shrikant R. Kate 28
Unit 4B-Value Engineering
© Mr. Shrikant R. Kate 29
Introduction
• Importance of value engineering came into
existence in world war II
• Due to shortage of critical resources there was
need to adopt changes in methods, materials
and traditional design methods, out of which
many changes were beneficial to reduce cost
© Mr. Shrikant R. Kate 30
Definition
• Value Engineering is defined as systematic
objective and analytical approach to effectively
identify unnecessary costs in construction.
• Unnecessary cost are those which do not provide
any enhanced quality appearance, utility or
improved life
• It is estimated that by adopting value engineering
techniques savings up to 5-10% on large
construction project can be achieved
© Mr. Shrikant R. Kate 31
Value Analysis
• Value analysis consists of elimination of
unnecessary cost reduction without affecting
appearance and quality of product
• It consist of providing best quality product to
customer at possible lowest cost
• The meaning of value can be varying from
person to person or organization to
organization
© Mr. Shrikant R. Kate 32
Aim of Value Analysis
• Save Money
• Increase profit
• Time consideration
• Quality problems
• Standardization
• Modify and improve the product design
• To ensure greater return from capital
investment
• Increase the efficiency of organization
© Mr. Shrikant R. Kate 33
Types of
Value
Cost
Value
Exchange
Value
Use or
Functional
Value
Esteem
Value
© Mr. Shrikant R. Kate 34
Types of Value
1. Cost Value: consist of cost of all items that
involve in production of product
2. Exchange Value: price that the purchaser will
offer at the time of buying product which will
be totally depend on the satisfaction of
customer
3. Use Value: it is work done or performance by
component
4. Esteem Value: price paid by customer other
than use value for attractiveness of product
© Mr. Shrikant R. Kate 35
© Mr. Shrikant R. Kate 36
© Mr. Shrikant R. Kate 37
When to apply Value Analysis
• To improve profitability of organization at any
time
• Introduction of new design to organization or
firm
• There is reduction in rate of return on capital
investment
• Firm is not able to deliver a product on time
• When cost of raw material increases abundantly
with respect to production
• Manufacturing cost per unit is increasing
• Complaints from customers regarding
performance of the product
© Mr. Shrikant R. Kate 38
Techniques of value Engineering
1. Find out available cost
2. Keep information of best source
3. Take ideas from expert for effective
implementation
4. Consult supplier for new ideas
5. Try to obtain maximum cooperation from the
other members in relevant department
6. Critical analysis of existing configuration
© Mr. Shrikant R. Kate 39
Advantages of Value Analysis
• Helps to achieve an improved product design
and quality
• It suggests elimination of unnecessary
function in organization
• It enhance the satisfaction of customers by
determining the exact need and expectations
of customers
• Helps to lower operating and maintenance
cost of organization
• Helps to improve efficiency of resources
© Mr. Shrikant R. Kate 40
Procedure of
Value Analysis
Gathering Data
Analysis and
Valuation of
Function
Generation of
ideas and
evaluation of
substitutes
Implementation
and
Regularization
© Mr. Shrikant R. Kate 41
Application of VE in road and building project
• To understand the behaviour of driver and
environment in which they operate
• Factors interacting in driving environment are:
1. Behaviour of driver (perception and reaction
time)
2. Vehicle (height, weight, length)
3. Roadway (design speed, super elevation,
shoulder width, side slope)
4. Traffic control devices
5. Road environment
• The principle approach of VE in construction is
focusing, elimination or modification of any
component of facility that adds cost without
contributing to functionality and safety© Mr. Shrikant R. Kate 42
Application of VE in building project
• Construction process has many components such
as concept, design and drawing, details of project
and construction
• Unnecessary costs are determined to be
eliminated from the project so that value of
building is increased and resources are not
wasted
• Value can be increased by:
1. Reduction in construction production cost
2. Finishing the job before time schedule
3. Quality improvement and correction
4. Reducing mistakes and deficiencies to minimum
© Mr. Shrikant R. Kate 43
Value Management
• Value Management is service that is provided
to maximize the function development of
project from initiation stage to completion
stage of project
• Value management aims to motivate people,
develop skill of people and maximizing the
overall performance of an organization
• Value management is used to enhance the
value of construction project by broking down
project into various stages
© Mr. Shrikant R. Kate 44
Stages Involved in
Value Management
1. Orientation Phase
2. Information Stage
3. Creative Phase
4. Evaluation Phase
5. Development Phase
6. Presentation Phase
7. Post study phase / follow up
phase
© Mr. Shrikant R. Kate 45
Phases in Job Plan
© Mr. Shrikant R. Kate 46
Sources of Energy
1.Non-Renewable or conventional
energy sources- eg. - Timber, fossil like
coal,
2. Renewable or Non-conventional
energy sources- eg. – solar energy ,
wind energy, biomass energy, tidal
energy.
© Mr. Shrikant R. Kate 47
Factors affecting Energy Consumption of
Building
1. Weather : Energy is used for heating and
cooling purpose (variation)
2. Production levels : Production of energy is
directly proportion to consumption of energy
3. Occupancy : Use of energy is more in a day as
compared to night
4. Normalize
© Mr. Shrikant R. Kate 48
Energy Consumption by sources :
1. Petroleum - 25th Rank greatest producer of crude Oil
2. Natural Gas – Rank below 20th
3. Coal – Reserve 90 billion tons
4. Electricity – 6th Rank in Electricity Generation
5. Hydro Power – (2000 year, 16000 MW)
6. Wind Power – 5th Rank in Power Installation
7. Solar Technologies- 2 ½ % of total power generated
© Mr. Shrikant R. Kate 49
© Mr. Shrikant R. Kate 50
Thank You

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Risk Management and Value Engineering _ Unit 4 _ Construction Management _ Final Year (BE) _ Department of Civil Engineering _ TAE _ SPPU _ by Shrikant R. Kate

  • 1. SPPU BE CIVIL ENGINEERNG Construction Management © Mr. Shrikant R. Kate 1 Unit :4A Risk Management Shrikant R. Kate BE Civil, M Tech Construction Management
  • 2. Syllabus • Elements of risk management and value engineering. • Risk management. Introduction, principles, types, origin, risk control, use of mathematical models: sensitivity analysis • Break even analysis, simulation analysis, decision tree analysis • Risk identification, analysis and mitigation of project risks, role of insurance in risk management • Value engineering Meaning of value, value analysis, value engineering and value management • Energy resources, consumption patterns, energy cost escalation and its impact. © Mr. Shrikant R. Kate 2
  • 3. Introduction • Risk – possibility of exposing to danger, hazard, loss, injury, etc. • From investment point of view, RISK can be defined as variability of returns • Types: © Mr. Shrikant R. Kate 3 Risk Credit Risk Interest Rate Risk Market Risk Liquidity Risk Operational Risk
  • 4. © Mr. Shrikant R. Kate 4 Identification of risk Risk Management Risk Mitigation Risk Transfer Risk Deferred Risk Reduction Risk Acceptance Risk Avoidance Risk Sharing Risk Monitoring and Control S t e p s i n v o l v e d i n R i s k
  • 5. Benefits of Managing Project Risks • All the issue/ problems of the project are classified, understood and allowed for right from the start • Pre planned contingency plan provides clearer definition of the specific risk associated with the project • Risk response decisions are supported through analysis of available data • It will encourage problem solving and provides innovative solution to risk problems with a project • Creates environment for efficiently and effectively manage the risk and it will be helpful to aware people in risky situation well in advance © Mr. Shrikant R. Kate 5
  • 6. Role of Risk Manager • To identify, analysis and evaluate the risk with required effects and causes • Categorised risk according to their severity i.e. normal, insignificant and serious risk • With the help of effective project management tool find out suitable mitigation techniques • Train the employees in organization i.e. provision of safety • Training programs • Preparation of report which is effective in decision making • Review of risk throughout the project © Mr. Shrikant R. Kate 6
  • 7. Risk Management and Insurance • Risk management includes insurance coverage which is used to minimize the cost associated with certain type of risk • It deals with pure risk which may cause financial loss • Pure risk can again classified as: © Mr. Shrikant R. Kate 7 Risk Property Risk Liability Risk Personnel Risk
  • 8. A. Property Risk : loss of property from natural causes or fire, loss in business during repairing work B. Liability Risk : Injury or death of employees, violations of law and regulations, mistreatment to employee C. Personnel Risk : loss of key personnel © Mr. Shrikant R. Kate 8
  • 9. Tools for Risk Analysis 1. Break-Even Analysis 2. Decision Tree Analysis 3. Simulation 4. Sensitivity Analysis © Mr. Shrikant R. Kate 9
  • 10. Break-Even Analysis • Break-even analysis is a study of costs, revenues and sales of a firm and finding out the volume of sales where the firm’s costs and revenues will be equal. • The Break-even point is the zone of no-profit and no- loss as the costs equal revenues. • Uses: 1. Determination of sales price which will be helpful for getting desired profit 2. Fixation of sale volume level to cover a given return on capital employed 3. Forecasting costs and profits as a result of change in volume 4. Determination of costs and revenue at various levels of output 5. Impact of increase or decrease in fixed and variable cost on profit © Mr. Shrikant R. Kate 10
  • 11. Example OUTPUT IN UNITS TOTAL REVENUE PRICE RS.4/- PER UNIT TOTAL FIXED COST TOTAL VARIABLE COST TOTAL COST 0 0 300 0 300 100 400 300 300 600 200 800 300 300 600 300 1200 300 900 1200 400 1600 300 1200 1500 500 2000 300 1500 1800 600 2400 300 1800 2100 © Mr. Shrikant R. Kate 11
  • 12. Assumptions • Some assumptions are made in illustrating the BEP: 1. The price of the commodity is kept constant at Rs.4/- per unit. i.e., perfect competition is assumed. 2. Therefore, the total revenue is increasing proportionately to output. 3. All the units of output are sold out. The total fixed cost is kept constant at Rs.300/- at all levels of output. 4. Then total variable cost is assumed to be increasing by a given amount throughout. © Mr. Shrikant R. Kate 12
  • 13. © Mr. Shrikant R. Kate 13
  • 14. Decision Tree Analysis • A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements. • Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal, but are also a popular tool in machine learning. © Mr. Shrikant R. Kate 14
  • 15. © Mr. Shrikant R. Kate 15
  • 16. © Mr. Shrikant R. Kate 16
  • 17. • Advantages: 1. Simple to understand and interpret 2. Allows addition of new possibilities 3. Helps to find out worst, best and expected values of different scenarios • Disadvantages: 1. If any value is not fixed then calculations become more complex 2. For data it include more categorical variables with different number and levels © Mr. Shrikant R. Kate 17
  • 18. Sources of Risk A. External environmental sources: 1) Political and Legal 2) Design and Specification 3) Financial and Economic B. External environment unknown uncertainties: 1) Natural calamities 2) Ecological 3) Safety and Health C. Internal environmental sources: 1) Scope change, time overrun and cost overrun 2) Change in technology 3) Quality and specification failures 4) Leadership and organizational failure 5) Resource failure 6) Contractor failure © Mr. Shrikant R. Kate 18
  • 19. Risk check list for building project 1. Project scope risk 2. Design and specification risk 3. Quality risk 4. Time overrun risk 5. Cost overrun 6. Leadership risk 7. Organisational risk 8. Physical resources mobilization and utilization risk 9. Technology risk 10. Contractual risk 11. Political, legal and social risk 12. Financial and economic risk 13. Safety, health and environment risk 14. Funding failure risk 15. Communication and network failure risk© Mr. Shrikant R. Kate 19
  • 20. Simulation • Simulation is an imitation of reality • Ex. Testing of aircraft model in a wind tunnel from which we determine the performance of actual aircraft under real operating condition • Types: 1. Continuous models: Deals with system whose behavior changes continuously with time 2. Discrete models: Deals primarily with the study of waiting lines, with the objective of determining such measure as the average waiting time and the length of queue. © Mr. Shrikant R. Kate 20
  • 21. © Mr. Shrikant R. Kate 21
  • 22. Advantages of Simulation • Many important managerial decision problems are too intricate to be solved by mathematical programming and experimentation with the actual system, even if possible is too costly and risky. • Through simulation, management can foresee the difficulties and bottlenecks which may come due to the introduction of new machines, equipment or process. It thus eliminates need of costly trial and error method of trying out the new concept on real method and equipment. © Mr. Shrikant R. Kate 22
  • 23. Advantages of Simulation • Simulation has advantage of being relatively free from mathematics and thus can be easily understood by the operating personnel and non technical managers. This helps in getting the proposed plans accepted and implemented • Simulation model are comparatively flexible and can be modified to accommodate the changing environment of the real simulations • Computer simulation can compress the performance of system over several years and involving large calculation into a few minutes of computer running time © Mr. Shrikant R. Kate 23
  • 24. Limitations of Simulation • If a particular type of problem can be well represented by mathematical model the analytical approach is considered to be more economical, accurate and reliable • Simulation does not produce optimum result • In very large and complex problem, the large number of variables and the inter relationship between them make the problem very unwisely and hard to program • Simulation is by no means a cheap method of analysis © Mr. Shrikant R. Kate 24
  • 25. Applications of Simulation • Simulation is quite versatile and commonly applied technique for solving decision problem • In the field of basic science it has been used to evaluate the area under curve, to estimate the value of phi in matrix, inversion and study of particle diffusion • In industrial problem including the shop floor management, design of computer system, design of queuing system, inventory control, communication network, chemical processes, nuclear reactor and scheduling of production process • In business and economic problems, including customer behavior, price determination, economy forecasting and capital budgeting • In the study of project involving risky investments © Mr. Shrikant R. Kate 25
  • 26. Monte Carlo Simulation • This method was developed during world war 2 to study how far neutrons would travel through different materials • The technique employs random number and is used to solve problems that involve probability and wherein physical experimentation is impracticable and formulation of mathematical model is impossible. © Mr. Shrikant R. Kate 26
  • 27. Sensitivity Analysis • From All our possible decision , we take final decision as acceptance and rejection of proposal. • We Select one alternative from different possible alternatives. • In such case, we consider value of different variable like, initial cost , receipts, interest rate. • The effect of such variations are taken into account in sensitivity analysis. • So Manager will get idea about the effect of these variables, to take appropriate decision. © Mr. Shrikant R. Kate 27
  • 28. Sensitivity Analysis • sensitivity analysis is used where accurate value of variable are not known. • The calculation are repeated but with one variable altered by known amount. • To find out what will happen to net present worth wrt some investment , when value like incoming or outgoing value varies from fix values. • sensitivity analysis help for decision of proposal acceptance and rejection , economic decision. © Mr. Shrikant R. Kate 28
  • 29. Unit 4B-Value Engineering © Mr. Shrikant R. Kate 29
  • 30. Introduction • Importance of value engineering came into existence in world war II • Due to shortage of critical resources there was need to adopt changes in methods, materials and traditional design methods, out of which many changes were beneficial to reduce cost © Mr. Shrikant R. Kate 30
  • 31. Definition • Value Engineering is defined as systematic objective and analytical approach to effectively identify unnecessary costs in construction. • Unnecessary cost are those which do not provide any enhanced quality appearance, utility or improved life • It is estimated that by adopting value engineering techniques savings up to 5-10% on large construction project can be achieved © Mr. Shrikant R. Kate 31
  • 32. Value Analysis • Value analysis consists of elimination of unnecessary cost reduction without affecting appearance and quality of product • It consist of providing best quality product to customer at possible lowest cost • The meaning of value can be varying from person to person or organization to organization © Mr. Shrikant R. Kate 32
  • 33. Aim of Value Analysis • Save Money • Increase profit • Time consideration • Quality problems • Standardization • Modify and improve the product design • To ensure greater return from capital investment • Increase the efficiency of organization © Mr. Shrikant R. Kate 33
  • 35. Types of Value 1. Cost Value: consist of cost of all items that involve in production of product 2. Exchange Value: price that the purchaser will offer at the time of buying product which will be totally depend on the satisfaction of customer 3. Use Value: it is work done or performance by component 4. Esteem Value: price paid by customer other than use value for attractiveness of product © Mr. Shrikant R. Kate 35
  • 36. © Mr. Shrikant R. Kate 36
  • 37. © Mr. Shrikant R. Kate 37
  • 38. When to apply Value Analysis • To improve profitability of organization at any time • Introduction of new design to organization or firm • There is reduction in rate of return on capital investment • Firm is not able to deliver a product on time • When cost of raw material increases abundantly with respect to production • Manufacturing cost per unit is increasing • Complaints from customers regarding performance of the product © Mr. Shrikant R. Kate 38
  • 39. Techniques of value Engineering 1. Find out available cost 2. Keep information of best source 3. Take ideas from expert for effective implementation 4. Consult supplier for new ideas 5. Try to obtain maximum cooperation from the other members in relevant department 6. Critical analysis of existing configuration © Mr. Shrikant R. Kate 39
  • 40. Advantages of Value Analysis • Helps to achieve an improved product design and quality • It suggests elimination of unnecessary function in organization • It enhance the satisfaction of customers by determining the exact need and expectations of customers • Helps to lower operating and maintenance cost of organization • Helps to improve efficiency of resources © Mr. Shrikant R. Kate 40
  • 41. Procedure of Value Analysis Gathering Data Analysis and Valuation of Function Generation of ideas and evaluation of substitutes Implementation and Regularization © Mr. Shrikant R. Kate 41
  • 42. Application of VE in road and building project • To understand the behaviour of driver and environment in which they operate • Factors interacting in driving environment are: 1. Behaviour of driver (perception and reaction time) 2. Vehicle (height, weight, length) 3. Roadway (design speed, super elevation, shoulder width, side slope) 4. Traffic control devices 5. Road environment • The principle approach of VE in construction is focusing, elimination or modification of any component of facility that adds cost without contributing to functionality and safety© Mr. Shrikant R. Kate 42
  • 43. Application of VE in building project • Construction process has many components such as concept, design and drawing, details of project and construction • Unnecessary costs are determined to be eliminated from the project so that value of building is increased and resources are not wasted • Value can be increased by: 1. Reduction in construction production cost 2. Finishing the job before time schedule 3. Quality improvement and correction 4. Reducing mistakes and deficiencies to minimum © Mr. Shrikant R. Kate 43
  • 44. Value Management • Value Management is service that is provided to maximize the function development of project from initiation stage to completion stage of project • Value management aims to motivate people, develop skill of people and maximizing the overall performance of an organization • Value management is used to enhance the value of construction project by broking down project into various stages © Mr. Shrikant R. Kate 44
  • 45. Stages Involved in Value Management 1. Orientation Phase 2. Information Stage 3. Creative Phase 4. Evaluation Phase 5. Development Phase 6. Presentation Phase 7. Post study phase / follow up phase © Mr. Shrikant R. Kate 45
  • 46. Phases in Job Plan © Mr. Shrikant R. Kate 46
  • 47. Sources of Energy 1.Non-Renewable or conventional energy sources- eg. - Timber, fossil like coal, 2. Renewable or Non-conventional energy sources- eg. – solar energy , wind energy, biomass energy, tidal energy. © Mr. Shrikant R. Kate 47
  • 48. Factors affecting Energy Consumption of Building 1. Weather : Energy is used for heating and cooling purpose (variation) 2. Production levels : Production of energy is directly proportion to consumption of energy 3. Occupancy : Use of energy is more in a day as compared to night 4. Normalize © Mr. Shrikant R. Kate 48
  • 49. Energy Consumption by sources : 1. Petroleum - 25th Rank greatest producer of crude Oil 2. Natural Gas – Rank below 20th 3. Coal – Reserve 90 billion tons 4. Electricity – 6th Rank in Electricity Generation 5. Hydro Power – (2000 year, 16000 MW) 6. Wind Power – 5th Rank in Power Installation 7. Solar Technologies- 2 ½ % of total power generated © Mr. Shrikant R. Kate 49
  • 50. © Mr. Shrikant R. Kate 50 Thank You