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Deploying artificial intelligence for dynamaic resource management_By Pradeep Reddy Varakanthanm_MBA
optimally allocating its limited resources, both human and non-human, to meet multipledemands in a way that brings maximum benefit to stakeholders. On the factory floor,this takes the form of scheduling labour and allocating raw materials to achieve the targetoutput in the most efficient manner. In the warehouse, this calls for arrangements thatoptimise space and time while reducing errors an
3페이지 | 2,000원 | 2023.02.12
Arranged parallel starting the experiment →consistent water surface is difficult to maintain.Problem03.Flow rate controllerQ2. Flow rate controllerFlow rate controller is continued to change with time → Get of optimal value Problem03.Barrier factor of DO Meter SensorQ3. Barrier factor of DO Meter SensorAir bubbles stick to sensor (To measure dissolved oxygen, Sensor is entire
25페이지 | 2,000원 | 2015.06.01
[경영정보] Big data& Next-Generation Analytics
Optimization:Evaluate all the possible results and draw optimal conclusion Analytics major driving application for data warehousingFew or no shortage of data era ▶flood of data by development of Internet and its devices, SNSLimitations of existing ways by Big Data Next-Generation Analytics highlighted “The biggest challenge of the Petabyte Age won’t be storing all that data, i
47페이지 | 3,000원 | 2013.03.20
[경영학] 검색엔진 시장속 구글 Google 경영전략(영문)
optimizing for brand names and using paid search strategies to support those brand campaigns with up-to-the-minute promotions. While the mobile search audience is relatively not huge now, it is certain that the market will grow increasingly fast. Marketers gaining some initial experience can learn valuable lessons about current users, which in turn will help in spotting future trends and adapting
19페이지 | 1,800원 | 2010.12.07