Linear programming is an important field of optimization for several reasons. Many practical problems in operations research can be expressed as linear programming problems. Certain special cases of linear programming, such as network flow problems and multicommodity flow problems are considered important enough to have generated much research on specialized algorithms for their solution. A number of algorithms for other types of optimization problems work by solving LP problems as sub-problems. Historically, ideas from linear programming have inspired many of the central concepts of optimization theory, such as duality, decomposition, and the importance of convexity and its generalizations. Likewise, linear programming is heavily used in microeconomics and business management, either to maximize the income or minimize the costs of a production scheme. Some examples are food blending, inventory management, portfolio and finance management, resource allocation for human and machine resources, planning advertisement campaign etc
A few examples of applications in which operations research is currently used include the following:
designing the layout of a factory for efficient flow of materials
constructing a telecommunications network at low cost while still guaranteeing quality service if particular connections become very busy or get damaged
road traffic management and 'one way' street allocations i.e. allocation problems.
determining the routes of school buses so that as few buses are needed as possible
designing the layout of a computer chip to reduce manufacturing time (therefore reducing cost)
managing the flow of raw materials and products in a supply chain based on uncertain demand for the finished products
efficient messaging and customer response tactics
roboticizing or automating human-driven operations processes .
AI in business:
Banks use artificial intelligence systems to organize operations, invest in stocks, and manage properties. In August 2001, robots beat humans in a simulated financial trading competition (BBC News, 2001).[2] A medical clinic can use artificial intelligence systems to organize bed schedules, make a staff rotation, and to provide medical information. Many practical applications are dependent on artificial neural networks ; networks that pattern their organization in mimicry of a brain's neurons, which have been found to excel in pattern recognition. Financial institutions have long used such systems to detect charges or claims outside of the norm, flagging these for human investigation. Neural networks are also being widely deployed in homeland security, speech and text recognition, medical diagnosis (such as in Concept Processing technology in EMR software), data mining, and e-mail spam filtering.
2007-02-16 04:20:06
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answer #1
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answered by Anonymous
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GLOBAL WARMING/THE ENVIRONMENT IN GENERAL Any and I mean any environmental cause or approach must be grassroots in nature. Having PhD's talk about global warming and having those representing industry interests debunk these present theories is a high level and almost an entirely futile effort. Don't get me wrong, it is great that someone with Al Gore's connections and exposure is getting the word out. However, people are people they want to see results. Yes, the expression is now trite but still true, "Thing Globally, Act Locally". Watching the sky over a city, town or even a more rural area become darkened by smog has local impact, people take note and actually see A PROBLEM. A problem that can measured in terms of air quality or perhaps an AIR QUALITY HEALTH INDEX like the one that the provincial government in Ontario, Canada is in the process of implementing. You can measure results (however small) in terms of air quality and the affect it has on the health care system (those with breathing problems, doctor's visits, etc). It certainly speaks to the advantage of a UNIVERSAL health care system (however, actually implemented) as it actually makes sense to improve the environment as it keeps people healthy (a humanitarian cause) and when health care it publicly funded it affects the public coffers when people become ill therefore it even makes better financial sense to keep the environment a top priority. Plus any approach must be entire with a complete overall plan (the big picture). Including recycling initiatives, energy solutions (alternatives/renewables can now present a real potential financial threat to the big oil companies and even power companies...), government involvement at all levels, public transit, greener vehicles in general (Hybrid, Hydrogen, Conventional electric, bio-diesel, ethanol), conservation in all energy arenas, ETC! Economic viability is the real sell as many of these solutions are just that economically sensible (ensuring we look at the entire picture). Yes as more people use solar, wind and other renewable energy sources the cheaper the technology will get. Two of the newest billionaires have earned a large portion through renewables Solar (India I believe) and Wind (China I believe). Yes in many ways developing nations and economies will be the first and early adopters of such renewable tech as they are just building much of their infrastructure. So what do we all need to do? GET INVOLVED ! Contact your local government about improving your recycling program, contact provincial/state/federal government about the adopting of these new technologies (renewables such as solar/wind), buy gas with ethanol in it and demand it, use and demand bio diesel, buy products with less packaging and demand manufacturers to reduce packaging and to offer a price break as a result. More ECONOMIC VIABILITY! After all energy diversity just like economic diversity is the safest and best bet for good long term results and return on investment. Joe... KEEP IT UP MR. GORE THE POLAR BEARS NEED YOU FIRST **GRIN**.
2016-05-24 06:22:11
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answer #2
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answered by ? 4
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Research tools would be used to design the system.
Production operations monitors the system once in production.
2007-02-16 01:44:13
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answer #3
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answered by Indiana Jones 6
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