Joint Design of Control Chart, Production Cycle Length, and Maintenance Schedule for Imperfect Manufacturing Systems

May 30, 2026

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Hybrid modeling integrates statistical process monitoring (SPM), production cycle length, and maintenance scheduling for imperfect manufacturing systems with both process and product deterioration. The framework introduces a nonuniform sampling strategy to set sampling intervals while avoiding exceeding a hazard-rate threshold. Stochastic shift magnitude is modeled for the mean quality characteristic. Effectiveness is evaluated through comparative studies and sensitivity analysis, showing large gains in in-control time ratio, cost savings, improved ARL metrics, fewer nonconforming items, reduced false-alarm risk, and lower total inventory holding cost via reduced deterioration costs.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages31

Reading Time1 h 18 min

Introduction

Core problem: linking maintenance, production run length, and SPM

Related work: separate and paired integrations of the three concepts

Gap: limited concurrent analysis of all three concepts

Method Overview

Hybrid integration of SPM, cycle length, and maintenance schedule

Nonuniform sampling to respect hazard-rate thresholds

Stochastic shift size for quality-mean changes

Comparative Evaluation

Variable vs fixed sampling interval performance

Economic-statistical design vs standard statistical design

Inventory holding cost comparison under deterioration

Conclusions

FAQs

What three interrelated manufacturing topics does the proposed hybrid model integrate?

The model integrates statistical process monitoring (SPM), production cycle length, and maintenance scheduling for imperfect production systems.

How does the approach handle deterioration in both the process and the products?

It explicitly accounts for process deterioration that can drive the process out of control and product deterioration that evolves over time.

What is the role of the nonuniform sampling strategy in the model?

The strategy determines sampling intervals to avoid exceeding a hazard-rate threshold value.

May 30, 2026

Upload by Asher