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Principles of Management Learning Session # 21 Dr. A. Rashid Kausar
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Re-cap of Session # 20
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Planning and Decision Aids
2.For Allocating Resources: 2.1 Budgeting 2.2 Scheduling 2.3 Break even Analysis 2.4 Linear Programming
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Planning and Decision Aids
2. For Allocating Resources: 2.1 Budgeting; The Budget is a numerical plan for allocating resources to specific activities in a specific period.
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Planning and Decision Aids
2. For Allocating Resources: 2.2 Scheduling; Detailing what activities have to be done, the order in which they are to be completed, who is to do each, and when they are to be completed.
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Planning and Decision Aids
2. For Allocating Resources: 2.2 Scheduling GANTT Charts: A scheduling chart developed by Henry Gantt that shows actual and planned output over a operiod of time.
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Planning and Decision Aids
2. For Allocating Resources: 2.2 Scheduling PERT Network; A flow chart like diagram showing the sequence of activities needed to complete a project and the time or costs associated with each.
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Planning and Decision Aids
2.For Allocating Resources: 2.3 Break even Analysis; A technique for identifying the point at which total revenue is just sufficient to cover total costs.
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Planning and Decision Aids
2.For Allocating Resources: 2.4 Linear Programming; A mathematical technique that solves resource allocation problems.
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Planning and Decision Aids
3. Contemporary Planning Techniques: 3.1 Project Management 3.2 Scenarios Analysis
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Planning and Decision Aids
3. Contemporary Planning Techniques: 3.1 Project Management; A Project is a one time only set of activities that has a definite beginning and ending point in time.
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Planning and Decision Aids
3. Contemporary Planning Techniques: 3.1 Project Management; The task of getting a project’s activities done on time, within budget, and according to specifications.
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Planning and Decision Aids
3. Contemporary Planning Techniques: 3.2 Scenarios Analysis; A consistent view of what the future is likely to be.
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Planning and Decision Aids
4. Other Methods: 4.1 Queuing 4.2 Simulation Models 4.3 Decision Trees
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