Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 10, 2025Advances in Economics Management and Political Sciences

Multi-stage Decision Modeling for Optimizing Multi-process Production Systems

View Full Paper
Ask AI
Bookmark
Share

Authors

YWYuan WangRCRen Chuan-rongXMXianfeng Ma

Discussion

Loading...

Member takes

Overview

Analysis identifies optimal decision-making protocols for production efficiency and quality assurance.

Key Points

  • The study reveals optimal decision-making protocols for enhancing production efficiency and quality assurance.
  • Quantified operational parameters include inspection costs, defect rates, and reconfiguration expenditures.
  • Integer programming is utilized to develop a comprehensive evaluation framework for production systems.
  • Recommendations provide actionable insights for enterprises to thrive amid technological disruption and competition.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68c23b4ab210217d64783fbchttps://doi.org/10.54254/2754-1169/2025.cau26459
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Research on production process decision model based on Monte Carlo simulation and multi-objective optimization2025
  2. 2Research On Enterprise Production Decision Based on Monte Carlo Simulation and Dynamic Programming Algorithm2025
  3. 3Optimization of Electronic Product Inspection and Defective Product Handling2025
  4. 4Research on Production Process Quality Control Optimization Based on Multi-stage Decision Model2025
  5. 5A Decision Optimization Framework for Multi-Stage Manufacturing Processes: Integrating 0-1 Integer Programming and Genetic Algorithms2025