Author(s)

Zihan Cheng ¹, Wenhan Fu ^1,2

Affiliation(s)

¹ Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China
² School of Intelligent Emergency Management, University of Shanghai for Science and Technology, Shanghai, 200093, China

Corresponding Author

Wenhan Fu

ABSTRACT

To address the problem that maintenance scheduling in less‑manned central control rooms of intelligent Baijiu brewing often ignores operator fatigue risk, this study develops a fatigue‑aware maintenance‑task scheduling model for a single‑operator control room in Baijiu brewing. Baijiu brewing is characterized by high temperature, high humidity, and strict fire and explosion‑protection requirements, which may accelerate equipment degradation and increase the risks of operator fatigue and human misjudgment. This method converts fatigue state into fatigue‑related human‑error risk, adopts Weibull conditional failure probability to describe equipment degradation risk, constructs a coupled fatigue‑equipment risk model, and establishes a dual‑objective scheduling model considering safety risk and response efficiency. Case results show that the dual‑risk scheduling scheme achieves a composite objective value of 0.5560, outperforming the fixed‑priority scheme (0.6247) and the equipment‑risk‑driven scheme (0.6511), and reduces high‑risk human‑machine mismatches from 2 to 0. The results indicate that incorporating fatigue risk improves the safety adaptability of maintenance task arrangements.

KEYWORDS

Intelligent Baijiu brewing; Single-operator scenario; Human fatigue; Maintenance decision scheduling; Human-equipment coupled risk

CITE THIS PAPER

Zihan Cheng, Wenhan Fu. Fatigue-Equipment Dual-Risk Maintenance Scheduling Optimization for Single-Operator Control Rooms in Baijiu Brewing. Industrial Engineering and Innovation Management (2026). Vol. 9, No. 1, 138-145. DOI: http://dx.doi.org/10.23977/ieim.2026.090116.

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