Linear Programming Problem
- Category Other
- Type Tutorials
- Language English
- Total size 261.1 MB
- Uploaded By skydiving666
- Downloads 314
- Last checked 2 weeks ago
- Date uploaded 9 years ago
- Seeders 1
- Leechers 0
Infohash : FCAA6DC5077C17DF48F3052898347731A135D2F0
Linear Programming Problem
Details:
Linear Programming Problem
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 8 | 320 MB
Genre: eLearning | Language: English
Learn how to allocate resources at optimum using LPP Graphic and Simplex Methods
Welcome to this course .Every organisation will have this objective. That is, Maximization of profit or Minimization of Cost. But this objective cannot be achieved that easily because there will be many constraints. Constraints may be in the form of Men, Material, Machine or any other resources. Organisation should keep this constraints in mind and make optimum allocation of its resources.This course will teach you, how to allocate resources optimally and achieve objective when you have various sets of constraints. (LPP) is a mathematical technique to identify the ways in which resources can be allocated given the constraints and achieve given objective.
In LPP, there are broadly two methods by which we can identify optimum allocation of resources.This course will explain both the methods i.e., Graphical Method and Simplex Method using number of case studies.
This course is structured only from Academic Point of View. Hence, it does not teach you about software or apps related to LPP.This course is useful only for students pursuing CA / CMA / CS / CAIIB / Accounts and Statistics related courses.
This course is structured in self paced learning style.
Take this course to have practical insight of LPP.
PS : If You got an error while extracting while others are working try diferent directory path in your PC. Somtimes if you got a long directory path while extracting it will giv you an error. To solve this issue , as an example just paste the tgz file in C drive and extract (just inside the C drive not with in any other folder). Hope your Understand
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