Modeling and Optimal Solution Method of Distribution Set Robust Model for Production Scheduling Problem
A technology for production scheduling and modeling methods, applied in design optimization/simulation, instrumentation, etc., which can solve problems such as sacrificing system performance, being conservative, and increasing the difficulty of solving random scheduling models.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0132] The present invention proposes a method for modeling and optimizing a solution of a distribution set robust model of a production scheduling problem, which will be further described in detail in conjunction with specific embodiments below.
[0133] A modeling and optimization solution method of a distribution set robust model of a production scheduling problem proposed by the present invention, its specific implementation method includes the following steps:
[0134] 1) Construct the distribution set robust model DR-SMSP of the production scheduling problem
[0135] The present invention focuses on the single-machine scheduling problem with random processing time, and a distribution set robust optimization model (DR-SMSP) is established for this problem. In the single-machine scheduling problem, all workpieces are processed on one machine, and each workpiece has its specific processing time, and the processing cannot be interrupted. The purpose of solving the scheduling ...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com