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SCM as a Control Strategy

Control variables capacity increases, fecilities production and distribution rates [Pg.221]

Briefly, an MPC framework attempts to optimize a performance criterion that is a function of future control variables. By solving the optimization problem associated with the control algorithm all elements of the control signal are defined. However, only a portion of the control signal is applied to the system. Next, when new input control information, and disturbance forecasts, are collected, the whole procedure is repeated, producing a feed-forward effect and permitting the SC system to follow-up the process dynamics. [Pg.221]

In Fig. 9.1, a general schematic of the proposed MPC framework for SCM is shown. Note that the strategy presented in Chap.7 is enhanced in order to include scheduling decisions and information from supervisory systems as well. A brief description of the control strategy follows. When the SC process is disturbed, data required to describe the current SC state are captured and sent to the controller. This information include the actual SC state (e.g., current inventory levels, new historic demand data, capacity availability). The information related to capacity can be collected by a supervisory system. Such system may be able to collect information about the critical equipment capacity which is then given as input data to the SC [Pg.221]

9 Considerations of Planning and Scheduling into the Design of Supply Chains [Pg.222]


See other pages where SCM as a Control Strategy is mentioned: [Pg.220]    [Pg.221]   


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