Piece-Mold-Machine Manufacturing Planning
نویسنده
چکیده
Automated planning is a branch of artificial intelligence which deals with the computation of the best strategies of action sequences, typically for execution by machines or robots (Russell & Norvig, 2003). In general, the automated planning solutions are complex, combinatory and have to be searched in a multidimensional space. Solutions usually resort to iterative trial and error processes commonly seen in artificial intelligence as the Iterated Local Search metaheuristic that we implement in this work. More precisely, this chapter examines a real manufacturing system with molds and machines requirements for the production of pieces. These characteristics include, for example, plastic injection systems. Such an enterprise has a certain demand of pieces to fulfill. To produce a piece on a machine it is necessary to use a mold, and if it is decided to produce another type of piece in that machine with ABSTRACT
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