Question
(d) O.R. is the science of use
The Scientific method in operations research does not
consists.
(a) Formulation phase
(b) Judgement phase
© Research phase
(d) Action phase
Which of the folloiwng is not associated with an LPP?
(a) Proportionality.
(b) Uncertainty
© Additivity
(d) Divisibility
A physical model is an example of:
(a) Iconic model
(b) Analoguemodel
© Verbal model
(d) Symbolic model
The Scientific method in operations research does not
consists.
(a) Formulation phase
(b) Judgement phase
© Research phase
(d) Action phase
Which of the folloiwng is not associated with an LPP?
(a) Proportionality.
(b) Uncertainty
© Additivity
(d) Divisibility
A physical model is an example of:
(a) Iconic model
(b) Analoguemodel
© Verbal model
(d) Symbolic model
Ask by Pierce Thornton. in India
Dec 21,2024
Upstudy AI Solution
Tutor-Verified Answer
Answer
- (b) Judgement phase is not part of the scientific method in Operations Research.
- (b) Uncertainty is not associated with Linear Programming Problems.
- A physical model is an example of an Iconic model.
Solution
Sure, let’s address each of your multiple-choice questions one by one:
1. The Scientific Method in Operations Research Does Not Consist Of:
Options:
- (a) Formulation phase
- (b) Judgement phase
- © Research phase
- (d) Action phase
Answer: (b) Judgement phase
Explanation:
The scientific method in Operations Research typically includes the following phases:
The scientific method in Operations Research typically includes the following phases:
- Formulation Phase: Defining the problem and developing a model.
- Research Phase: Gathering data and understanding the problem context.
- Action Phase: Implementing the solution and monitoring results.
The Judgement Phase is not a standard phase in the scientific method used in Operations Research.
2. Which of the Following is Not Associated with a Linear Programming Problem (LPP)?
Options:
- (a) Proportionality
- (b) Uncertainty
- © Additivity
- (d) Divisibility
Answer: (b) Uncertainty
Explanation:
Linear Programming Problems (LPP) are based on several key assumptions:
Linear Programming Problems (LPP) are based on several key assumptions:
- Proportionality: Relationships are linear.
- Additivity: Total effects are the sum of individual effects.
- Divisibility: Variables can take any values, including fractions.
Uncertainty is not typically associated with LPPs, as LPPs assume that all parameters are known with certainty.
3. A Physical Model is an Example of:
Options:
- (a) Iconic model
- (b) Analog model
- © Verbal model
- (d) Symbolic model
Answer: (a) Iconic model
Explanation:
- Iconic Model: A physical representation or a scaled-down version of something (e.g., architectural models).
- Analog Model: Uses a similarity between two systems (e.g., electrical circuits to represent transportation networks).
- Verbal Model: Describes the system in words.
- Symbolic Model: Uses mathematical symbols and equations.
A physical model clearly falls under the category of an Iconic Model as it is a tangible, visual representation.
I hope this clarifies your queries! If you have any more questions, feel free to ask.
Answered by UpStudy AI and reviewed by a Professional Tutor
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Simplify this solution Bonus Knowledge
The scientific method in Operations Research (O.R.) is a systematic approach that encompasses various phases, but the one that does not traditionally belong to this process is the “Judgement phase.” In typical O.R. workflows, phases include identification of the problem, formulation of the model, solution of the model, and implementation of the solutions. The “Judgement phase” isn’t a formal part of the scientific method but rather an inherent aspect of decision-making.
In the context of Linear Programming Problems (LPP), “Uncertainty” is not a characteristic associated with it. LPP is based on deterministic parameters, meaning that the relationships and constraints are known and can be precisely defined. In contrast, uncertainty implies unknown variables or risks, which LPP does not accommodate as it focuses on linear relationships that exhibit proportionality, additivity, and divisibility for optimal solution finding.
