Flexibility of scheduling tools for order production problems |
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| Affiliation: | 1. University of Miskolc, Institute of Manufacturing Science, Egyetemvaros, Miskolc 3515, Hungary;2. Otto-von-Guericke University Magdeburg, Institute of Manufacturing Technology and Quality Management, Universitätsplatz 2, Magdeburg 39106, Germany;1. CSIR-Central Scientific Instruments Organisation, Chandigarh 160030, India;2. Academy of Scientific & Innovative Research (AcSIR), Ghaziabad 201002, India;1. Department of Computer Science, University of Bath, Claverton Down BA2 7AY, UK;2. Department of Mechanical Engineering, University of Bath, Claverton Down BA2 7AY, UK |
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| Abstract: | A fundamental issue in scheduling tools for order production systems is the trade-off between the feasibility of a solution with respect to a set of dynamic local constraints and the evaluation of a schedule with respect to different global optimality criteria. CIM managers clamour for more flexible and easy to handle tools than those provided by classical scheduling theory. Decision Support Systems (DSS) have been proved to be valuable tools for manipulating schedules and for managing information on the production process. This paper surveys previous work on scheduling in production systems, and presents a methodology for facing production scheduling problems. New design criteria and interactive models for effectively supporting the methodology in flexible and dynamic production environments are discussed. |
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