Towards intelligent manufacturing planning and control systems

In this paper, we review some well-known manufacturing planning and control (MPC) systems and models, and highlight both their advantages and major drawbacks. The analysis indicates that various important planning and control problems, as they arise in industry, are not properly addressed by current MPC systems. A well-known production system typology, illustrated by industrial examples, is briefly discussed to further highlight these planning and control problems. Next, we define a basic framework architecture for planning and control in both make-to-stock and make-to-order systems. The emphasis in this framework is on an integration of technological and logistics planning, and on an integration of capacity planning and materials coordination issues. In addition to this architecture, we further define an algorithmic framework that explicitly aims at the latter integration. To complete the architecture, we suggest a variety of procedures and algorithms to implement in the various modules.