Quantitative Techniques

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Quantitative Techniques: Quantitative techniques are mathematical and statistical models describing a diverse array of variables’ relationships, and are designed to assist administrators with administration problem-solving and decision-making Statistical charts, Pareto analysis, and benchmarking were quantitative tools that simplified the allocation of functional groups into the stages of planning and control for achieving continuous improvement and decision making. What exactly is the quantitative approach? Let’s say it involves Statistical figures: Data analyzed using two different procedures: (a) Applying descriptive statistics. (b) Using multivariable statistical analysis. Optimization models, Information gathered is sorted in an optimized and decision friendly model. In other words also known as concept. Information modeling, information gathered from different perspectives for the completion of the given task is put on the table. Computer simulations power point presentations and slides are run to show and interpret the actual idea Example Linear programming for example is a technique that managers use to improve resource allocation decision. Work scheduling can be a more efficient way out as a result of critical path scheduling analysis. The economic quantity model helps managers determine optimum inventory levels.

Transcript of Quantitative Techniques

Page 1: Quantitative Techniques

Quantitative Techniques: Quantitative techniques are mathematical and statistical models describing a diverse array of variables’ relationships, and are designed to assist administrators with administration problem-solving and decision-making

Statistical charts, Pareto analysis, and benchmarking were quantitative tools that simplified the allocation of functional groups into the stages of planning and control for achieving continuous improvement and decision making.

What exactly is the quantitative approach? Let’s say it involves

Statistical figures: Data analyzed using two different procedures: (a) Applying descriptive statistics. (b) Using multivariable statistical analysis.

Optimization models, Information gathered is sorted in an optimized and decision friendly model. In other words also known as concept.

Information modeling, information gathered from different perspectives for the completion of the given task is put on the table.

Computer simulations power point presentations and slides are run to show and interpret the actual idea

ExampleLinear programming for example is a technique that managers use to improve resource allocation decision. Work scheduling can be a more efficient way out as a result of critical path scheduling analysis. The economic quantity model helps managers determine optimum inventory levels.

Each of these is an example of quantitative techniques being applied to improve managerial decision making.

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Some Major/Important parts of quantitative Techniques and their utilization.

-Planning. Planning is the formal process of deciding in advance what is to be done and how. It involves selecting objectives and developing policies, programs, and procedures for achieving them. Planning prescribes desired behaviors and results.

-Reporting. Reporting refers to presenting or submitting, often officially, the analysis and results of tasks, projects, reports, or studies to internal or external officials or interested agencies.

-Controlling. Controlling refers to the methods and mechanisms used to ensure that behaviors and performance conform to the organization’s objectives, plans, and standards. Controls help maintain or redirect actual behaviors and results. Thus, planning and controlling complement and support each other.

-Rational Decision-Making. Rational decision-making refers to a logical and rational process of deciding among diverse alternatives, that permits managers to think in terms of relative priorities, rather than ironclad objectives and criteria.

-Brainstorming. This technique provides a highly effective means of supplying new ideas and innovations as source of information. The approach is very simple, with few rules and a relatively unstructured approach. A small group of personnel who share a common problem are brought together and asked for ideas. All suggestions, however unrealistic, are recorded in detail and then voted upon for further more detailed examination. Proposals may emerge and be passed through to higher decision-making levels in the organization

-Checklists. This technique consists of formulating carefully a series of questions applicable to any activity, procedure, job, department, policy, or other component of the organization. It is a process easy to prepare. The presence or absence of specific attributes in each alternative are checked and the alternatives are rank-ordered on the basis of the number of attributes present

-Cost-Benefit Analysis. Cost-Benefit Analysis is a systematic means of evaluating the costs and benefits of projects over their life-times. It aims to determine whether or not a particular program is justified, to rank various program alternatives relative to a given set of objectives, and to ascertain the optimal course of action to attain these objectives.

-Alternative decisions: The cost of an alternative includes direct expenditures and consumption of resources along with the costs of lost opportunities and other less tangible consequences such as loss of morale or political support. Evaluation of benefits may be more difficult. The concept of benefits is a broad one, covering the direct and immediate gain produced, such as increased achievement, as well as indirect effects to clients of the institution and the general public, such as satisfactions and income increases. Benefit analysis is thus meant

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to include a comprehensive view of all the positive effects (expressed in dollar terms) that may result from each possibility. The ratio of costs to benefits provides a simple quantitative way to compare the relative merits of alternatives. The higher ratios indicate the preferred choices

WHY IS QUANTATIVE MANAGEMENT REQUIRED AND ITS USED BY MANAGERS OF TODAY

No one likes to be sitting and waiting in queues, many customers get very upset when they see a very long line and engage themselves in queues jumping based on their naïve theories of which queue is moving faster. This leads to indiscipline and irritation amongst those who follow the queue properly. Same is the case with managers where they are required to give out quality decisions keep in mind budgeting , queuing, call centre KPI, quality control regulations and similar decisions. They keep in mind to use these different quantitative tools.

Acquire the knowledge by trial and error, looking at correlations one can acquire simple management techniques very well.

REASONS: Fundamentally there are four reasons why quantitative techniques are used by managers. They are:1. Models force managers to be explicit about objectives.2. Models force managers to identify and record the types of decisions (decision variables) that influence objectives.3. Models force managers to identify and record pertinent interactions and trade-off between decision variables.4. Models force managers to record constraints (limitations) on the values that the variables may assume.