SUPPORT VECTOR MACHINE FOR MULTICLASS CLASSIFICATION OF REDUNDANT INSTANCES

SUPPORT VECTOR MACHINE HAS BECOME ONE OF THE MOST IMPORTANT CLASSIFICATION TECHNIQUES IN PATTERN RECOGNITION, MACHINE LEARNING, AND DATA MINING.

AN EFFICIENT MACHINE LEARNING PREDICTION METHOD FOR VEHICLE DETECTION: DATA ANALYTICS FRAMEWORK

THE RISE IN POPULATION HAS LED TO A CORRESPONDING INCREASE IN THE NUMBER OF VEHICLES ON THE ROADWAYS.

STREAMLINING STOCK PRICE ANALYSIS: HADOOP ECOSYSTEM FOR MACHINE LEARNING MODELS AND BIG DATA ANALYTICS

INTEGRATING MACHINE LEARNING MODELS WITHIN THIS ECOSYSTEM ALLOWS FOR ADVANCED ANALYTICS AND PREDICTIVE MODELING.

COGNITIVE APPROACH USING SFL THEORY IN CAPTURING TACIT KNOWLEDGE IN BUSINESS INTELLIGENCE

THE COMPLEXITY OF BUSINESS INTELLIGENCE (BI) PROCESSES NEED TO BE EXPLORED IN ORDER TO ENSURE THE BI SYSTEM PROPERLY TREATS THE TACIT KNOWLEDGE AS PART OF THE DATA SOURCE IN THE BI FRAMEWORK.

TACIT KNOWLEDGE FOR BUSINESS INTELLIGENCE FRAMEWORK: A PART OF UNSTRUCTURED DATA?

IDEA TO CAPTURE KNOWLEDGE FROM DIFFERENT SOURCES CAN BE VERY BENEFICIAL TO BUSINESS INTELLIGENCE (BI).

Peran IT Dalam Competitive Advantage

Author: Herison Surbakti

Siklus Informasi

Untuk memperoleh informasi yang bermanfaat bagi penerimanya, perlu dijelaskan siklus yang terjadi atau dibutuhkan dalam menghasilkan informasi. Pertama-tama data dimasukkan ke dalam model yang umumnya memiliki urutan proses tertentu dan pasti, setelah diproses akan dihasilkan informasi tertentu yang bermanfaat bagi penerima (level management) sebagai dasar dalam membuat suatu keputusan atau melakukan tindakan tertentu. Dari keputusan atau tindakan tersebut akan menghasilkan atau diperoleh kejadian-kejadian tertentu yang akan digunakan kembali sebagai data yang nantinya akan dimasukkan ke dalam model (proses), begitu seterusnya. Dengan demikian akan membentuk suatu siklus informasi (information cycle )atau siklus pengolahan data (data processing cycles),

Just In Time Manufacturing


DELL COMPUTER

JUST IN TIME MANUFACTURING

Author: Herison Surbakti
Dell’s Supply Chain
Dell’s supply chain works as follows. After a customer places an order, either by phone or through the Internet on www.dell.com, Dell processes the order through financial evaluation (credit checking) and configuration evaluations (checking the feasibility of a specific technical configuration), which takes two to three days, after which it sends the order to one of its manufacturing plants in Austin, Texas. These plants can build, test, and package the product in about eight hours. The general rule for production is first in, first out, and Dell typically plans to ship all orders no later than five days after receipt. There are, however, some exceptions. For example, Dell may manipulate the schedule when there is a need to replace defective units or when facing large customers with specific service-level agreements (who have nonstandard quoted manufacturing lead times) for their orders.
In most cases, Dell has significantly less time to respond to customers than it takes to transport components from its suppliers to its assembly plants. Many of the suppliers are located in Southeast Asia and their transportation times to Austin range from seven days for air shipments to upwards of 30 days by water and ground. To compensate for long lead times and buffer against demand variability, Dell requires its suppliers to keep inventory on hand in the Austin revolvers (for “revolving” inventory).