Abstract
Production scheduling faces three challenges, which are inconsistent key performance indicators (KPIs), processing time uncertainties, and production schemes. Applying modern portfolio theory (MPT), Li et al. (2021) proposed a ToB(α) heuristic to balance trade-offs in one-stage production. However, production schemes for optimizing average performance of individual KPIs, trade-off values, or worst-case scenarios affect the stability of a process differently, especially with processing time uncertainties. We propose an innovative approach using transfer functions for stability (TF4S) in balancing trade-offs in production scheduling. Our TF4S approach provides a systematic way to analyze the stability of one-stage production and can be extended to production scheduling for classic m-machine flow lines.
Original language | English |
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Pages (from-to) | 48-55 |
Number of pages | 8 |
Journal | Manufacturing Letters |
Volume | 33 |
DOIs | |
State | Published - Sep 2022 |
Bibliographical note
Publisher Copyright:© 2022
Keywords
- Production scheduling
- Stability
- Trade-off balancing
- Transfer function
ASJC Scopus subject areas
- Mechanics of Materials
- Industrial and Manufacturing Engineering