Integrated Design and Manufacturing Methods. Volume II - New Heuristic and Artificial Intelligence Approaches to Production Scheduling in Flexible Manufacturing Systems,
Abstract
The need for an efficient economic production sequencing and scheduling (PSS) method for the flexible manufacturing system (FMS) has never been greater than it is today, due to the rapid increase in the complexity of the FMS. In spite of the intensive studies that have been done in the PSS area, most of them are focused on optimal results to meet the due dates or to maximize the usage of the system. These solutions are found to be unsatisfactory for the real life FMS scheduling. In the real life scheduling problem, minimizing the costs is the first objective and the most considerable factor through as the multiple criteria (objectives) in measuring scheduling performance of a FMS. This research proposes a new heuristic approach that adapts the above objective to PSS in an FMS environment by considering the following cost factors: (1) Overtime costs. (2) Lateness costs. (3) Inventory costs. (4) M/C idle time costs. This heuristic approach will operate under an adjusted manufacturing lead time environment and scheduling flexibility (what-If conditions) which incorporates adaptive look-back and look-ahead rules. When compared with some existing methods, the proposed method consistently shows lower total variable costs.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1987
- Accession Number
- ADA363269
Entities
People
- Celestine A. Ntuen
- Eui H. Park
- Samuel Owusu-ofori
- Steven H. Lai
- William J. Craft