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Method for optimizing real-time production advance period of reconfigurable system based on model predictive control

A technology of model predictive control and reconstruction system, applied in manufacturing computing systems, forecasting, marketing, etc., can solve the problems of neglected coordination, unrealistic, limited intermediate buffer, etc., to reduce operating costs, improve operating efficiency, and strengthen resources. Effects of coordination and predictive control capabilities

Pending Publication Date: 2022-04-29
HANGZHOU DIANZI UNIV
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Problems solved by technology

Meanwhile, real-time production lead time optimization is also very important for coordinating existing operating costs (i.e., inventory costs of WIP and final products and late penalty costs), but few studies on scheduling focus on real-time production lead time optimization
Moreover, most popular studies assume that the intermediate buffer capacity between workstations is sufficient, so that there will be no cases where workstations transition idle or jam, but this assumption is unrealistic, because the intermediate buffer must be finite in order to carry out real-time process control
At the same time, previous studies have paid little attention to the reconfigurable behavior of production systems; in these studies, the coordination among work in process, lead time and delay has also been ignored.
However, in actual situations, most production systems need to reconfigure the production line and control the production lead time in real time. The real-time production lead time optimization problem of reconfigurable systems obtained according to the calculation methods of existing research still has high risks. How to provide a feasible real-time production lead time optimization scheme for enterprises in a reconfigurable production system is of great practical significance

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  • Method for optimizing real-time production advance period of reconfigurable system based on model predictive control
  • Method for optimizing real-time production advance period of reconfigurable system based on model predictive control
  • Method for optimizing real-time production advance period of reconfigurable system based on model predictive control

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Embodiment Construction

[0106] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0107] see figure 1 It is a flowchart of a real-time production lead time optimization method for a reconfigurable system based on model predictive control, which includes the following steps:

[0108] Step S1: Collect real-time data of materials and operations in the production system assembly line to be optimized and real-time data of workstation status through time research, and determine the parameters required for model calculation. Among them, the real-time data of materials and operations include at least job transfer data, job location data and processing time; real-time data on workstation status includes at least machine failure event data, job processing data, workstation reconfiguration time, and workstation buffer capacity;

[0109] Step S2: Considering predictive multi-stage transition and reconfigurable behavior...

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Abstract

The invention discloses a method for optimizing the real-time production advance period of a reconfigurable system based on model predictive control, which comprises the following steps of: S1, acquiring real-time data of materials and operations in a production line of a to-be-optimized production system and real-time data of a workstation state through time research, and determining parameters required by model calculation; s2, in consideration of predictive multi-stage transition and reconfigurable behaviors, describing the reconfigurable production system by using max-plus algebra, and establishing a time-varying transition model, a time-varying state-space equation and a state transition matrix through time varying of plans and real-time discrete events among a plurality of workstations; s3, establishing an optimization model of the real-time production advance period of the reconfigurable system to carry out prediction control by taking a real-time operation release plan for minimizing the total expected cost of the in-process product inventory, the final product inventory and the delay penalty as a target; and S4, solving the optimization model by using a implicit enumeration algorithm, and finally obtaining a real-time job release plan with relatively low total expected cost.

Description

technical field [0001] The invention relates to the technical field of enterprise production operation, in particular to a method for optimizing real-time production lead time of a reconfigurable system based on model predictive control. Background technique [0002] With the rapid development of production technology, enterprises are paying more and more attention to the design and scheduling of production systems. The planning and scheduling of resource management systems play an important role in improving the efficiency of resource management systems, and have been the focus of previous research. The production planning problem aims to adjust scalable production capacity and system functionality to meet dynamic customer demand at the lowest cost. [0003] Many studies have seriously addressed the scheduling problem in reconfigurable production systems, but most have focused on revealing the relationship between machine configuration and job completion time such that the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/08G06Q30/02G06Q50/04
CPCG06Q10/04G06Q50/04G06Q10/087G06Q30/0206Y02P90/30
Inventor 陈文冲冯鹏威雒兴刚周青张忠良谌平黄文坡阮渊鹏
Owner HANGZHOU DIANZI UNIV
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