Using UML to develop Knowledge-based System for Adaptive Scheduling

نویسندگان

  • WEIDA WANG
  • HE XU
  • WENJIAN LIU
چکیده

It is one of the most important issues that constructing better Knowledge-Based System (KBS) to fulfill an efficient adaptive scheduling to complex manufacturing system. A method for developing and documenting the KBS for adaptive scheduling, using the Unified Modeling Language (UML) is presented . It employed UML to describe the system analysis, system design and system implementation of KBS, so various views were built up to explore the static structure and dynamic behavior of KBS. This method alleviates the highly dependent on domain knowledge experts. The quality and efficiency of the KBS are improved. Finally a case is given to validate the feasibility and reliability of the proposed approach. Key-Words: Adaptive scheduling; KBS; UML

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An adaptive modified firefly algorithm to unit commitment problem for large-scale power systems

Unit commitment (UC) problem tries to schedule output power of generation units to meet the system demand for the next several hours at minimum cost. UC adds a time dimension to the economic dispatch problem with the additional choice of turning generators to be on or off.  In this paper, in order to improve both the exploitation and exploration abilities of the firefly algorithm (FA), a new mo...

متن کامل

Green Energy-aware task scheduling using the DVFS technique in Cloud Computing

Nowdays, energy consumption as a critical issue in distributed computing systems with high performance has become so green computing tries to energy consumption, carbon footprint and CO2 emissions in high performance computing systems (HPCs) such as clusters, Grid and Cloud that a large number of parallel. Reducing energy consumption for high end computing can bring various benefits such as red...

متن کامل

Dynamic configuration and collaborative scheduling in supply chains based on scalable multi-agent architecture

Due to diversified and frequently changing demands from customers, technological advances and global competition, manufacturers rely on collaboration with their business partners to share costs, risks and expertise. How to take advantage of advancement of technologies to effectively support operations and create competitive advantage is critical for manufacturers to survive. To respond to these...

متن کامل

Optimality of the flexible job shop scheduling system based on Gravitational Search Algorithm

The Flexible Job Shop Scheduling Problem (FJSP) is one of the most general and difficult of all traditional scheduling problems. The Flexible Job Shop Problem (FJSP) is an extension of the classical job shop scheduling problem which allows an operation to be processed by any machine from a given set. The problem is to assign each operation to a machine and to order the operations on the machine...

متن کامل

Optimality of the flexible job shop scheduling system based on Gravitational Search Algorithm

The Flexible Job Shop Scheduling Problem (FJSP) is one of the most general and difficult of all traditional scheduling problems. The Flexible Job Shop Problem (FJSP) is an extension of the classical job shop scheduling problem which allows an operation to be processed by any machine from a given set. The problem is to assign each operation to a machine and to order the operations on the machine...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006