Multi-Stage Decision-Making Models Based On Decision Trees and 0-1 Variable Planning

This paper proposes a multi-stage decision-making model based on decision tree and 0-1 variable planning, aiming at solving complex production management problems in modern manufacturing industry. The article firstly establishes a multi-stage production decision-making model, which realises the optimisation of the whole process from spare parts inspection to finished product inspection and dismantling by specifying the decision variables and cost-benefit formula. Secondly, the impact of key parameters on decision-making results is quantified through sensitivity analysis and comparison of optimal decision-making combinations, which provides a practical method for enterprises to optimise production decision-making. The study not only improves the decision-making efficiency of production management, but also provides theoretical support for future research on decision-making models in related fields.

Authors

Institutions

Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.05.100
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Stage Decision-Making Models Based On Decision Trees and 0-1 Variable Planning

Xia Xinhui
Procedia Computer Science
Multi-Criteria Decision Making
article

Multi-Stage Decision-Making Models Based On Decision Trees and 0-1 Variable Planning

Xia Xinhui
article en

Abstract

This paper proposes a multi-stage decision-making model based on decision tree and 0-1 variable planning, aiming at solving complex production management problems in modern manufacturing industry. The article firstly establishes a multi-stage production decision-making model, which realises the optimisation of the whole process from spare parts inspection to finished product inspection and dismantling by specifying the decision variables and cost-benefit formula. Secondly, the impact of key parameters on decision-making results is quantified through sensitivity analysis and comparison of optimal decision-making combinations, which provides a practical method for enterprises to optimise production decision-making. The study not only improves the decision-making efficiency of production management, but also provides theoretical support for future research on decision-making models in related fields.

Procedia Computer ScienceVol. 262
Shandong Normal University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 85%
Multi-Criteria Decision Making
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.