A Collaborative Scheduling System for Make-to-Order Manufacturing

Abstract In the make-to-order manufacturing industry, the details about the product specification become gradually known in phases from development, design, and process planning. This makes the production scheduling less accurate, and causes the operations schedule to be revised frequently during the manufacturing. To reconfigure the existing schedule, the monitoring data collected from the shop floor are essential. A collaborative scheduling system for the job shop has been developed to manage the job processing effectively. The system adopts presumptive, predictive and reactive scheduling methods. Each method is built into a module which performs scheduling based on the different data, and collaborates with other modules. The scheduling system is interfaced to a machine monitoring and data collection system. The experience of the implemented system in a factory is encouraging.

[1]  Shimon Y. Nof,et al.  Adaptive/predictive scheduling: review and a general framework , 1991 .

[2]  H.J.J. Kals,et al.  The integration of process planning and shop floor scheduling in small batch part manufacturing , 1995 .

[3]  D.H.R. Price,et al.  A review of production planning and scheduling in smaller manufacturing companies in the UK , 1994 .

[4]  Hyung-Min Rho,et al.  An Evaluation System of Order Acceptability under Consideration of Machine Loading in Die Manufacturing , 1995 .

[5]  Kazuaki Iwata,et al.  A Knowledge-Based Production Control System to Accommodate Unscheduled Disruptions in the Manufacturing Process , 1988 .

[6]  L. Alting,et al.  Criteria for selecting a production control philosophy , 1993 .

[7]  Uday S. Karmarkar,et al.  A Closed Loop Automatic Scheduling System (Class) , 1992 .

[8]  Khalil S. Hindi,et al.  KBSS: a knowledge-based job-shop scheduling systema , 1993 .

[9]  Kazuaki Iwata,et al.  Random Manufacturing System: a New Concept of Manufacturing Systems for Production to Order , 1994 .

[10]  Kyo-Il Lee,et al.  An intelligent operations scheduling system in a job shop , 1996 .

[11]  T. Fukuda,et al.  A Real-Time Scheduling Method Using Hierarchical Decentralized Decision Makers for Flexible Manufacturing Systems , 1993 .

[12]  K. Voigt,et al.  ReDS—A dynamic planning, scheduling, and control system for manufacturing , 1990 .

[13]  Elizabeth Szelke,et al.  Knowledge-based reactive scheduling , 1994 .

[14]  Jwm Will Bertrand,et al.  Information systems for production planning and control: developments in perspective , 1992 .