Abstract
The scheduling process, usually involve the evaluation and selection of one alternative between a set of them. These decisions are not trivial, considering that they usually involve multiple, and sometimes conflicting, criteria. Particularly in scheduling which aim is to find the trade off between loading efficiency and delivery accuracy taking into account holding costs, tardiness penalties and expedition charges. Scheduling decisions should be taken in respect with the result of the integration of different criteria weighted according the several perspectives from manufacturing environment namely, production, commercial, and quality. So, scheduling is a multi-criteria decision problem; in practice different schedulers may agree as to the key objectives but differ greatly as to their relative importance in any given situation. The purpose of this paper is to address collaborative scheduling in complex dynamic manufacturing environment, presenting a collaborative scheduling approach which considers group decision support.
Keywords
- Schedule Problem
- Schedule Process
- Schedule Decision
- Group Decision Support System
- Tardiness Penalty
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Almeida, A., Marreiros, G. (2006). Toward Collaborative Scheduling. In: Information Technology For Balanced Manufacturing Systems. BASYS 2006. IFIP International Federation for Information Processing, vol 220. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-36594-7_6
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DOI: https://doi.org/10.1007/978-0-387-36594-7_6
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