The shifting bottleneck procedure for job shop scheduling
Management Science
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Using explicit ontologies in KBS development
International Journal of Human-Computer Studies
Domain-oriented library of scheduling methods: design principle and real-life application
International Journal of Human-Computer Studies
Common KADS Library for Expertise Modelling
Common KADS Library for Expertise Modelling
Scheduling Computer and Manufacturing Processes
Scheduling Computer and Manufacturing Processes
A Generic Library of Problem Solving Methods for Scheduling Applications
IEEE Transactions on Knowledge and Data Engineering
Initialization strategies and diversity in evolutionary timetabling
Evolutionary Computation
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Scheduling can be defined as the allocation of resources over time to perform a collection of tasks. It is a decision making process that has a goal to optimize one or more than one objective functions. In manufacturing, the purpose of scheduling is to minimize the production time and costs, by telling a production facility what to make, when, with which staff, and on which equipment. Production scheduling aims to maximize the efficiency of the operation and reduce costs. Along with this paper, we solve scheduling in manufacturing problem using problem-solving method (PSM). We use knowledge modeling approach namely as ontology to model scheduling and PSM. Ontology can be seen as information model that explicitly describes the various entities and abstractions that exist in a scheduling and problem-solving, along with their properties. While Problem-solving Method (PSM) is provides the vocabulary necessary to characterize the search based problem-solving behavior of the scheduling task.