Two-Machine Flow Shop with a Fixed Non-Availability Interval on the Second Machine

📅 2026-09-12
📈 Citations: 0
Influential: 0
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🤖 AI Summary
研究了第二台机器有固定不可用区间的两机流水车间问题,目标是最小化总完成时间。提出了多项式时间近似算法和伪多项式时间精确动态规划,并证明了该问题除非P=NP否则不存在FPTAS。
📝 Abstract
This paper investigates a two-machine permutation flow shop in which the second machine is unavailable during one fixed interval $[s,t]$. We consider the non-resumable setting: an operation interrupted by the interval must restart from the beginning after the machine becomes available. The objective is to minimize the makespan. We establish three results. First, we give a polynomial-time $10/7$-approximation algorithm. Second, we develop a pseudopolynomial-time exact dynamic program. Third, we prove that the problem does not admit a fully polynomial-time approximation scheme (FPTAS) unless $\mathrm{P}=\mathrm{NP}$, even when the non-availability interval has unit length. Together, these results characterize a distinctive complexity profile: exact optimization is possible in pseudopolynomial time, whereas the usual route from such an algorithm to an FPTAS is impossible unless $\mathrm{P}=\mathrm{NP}$. They also reveal an approximability separation from the corresponding non-resumable problem with the interval on the first machine.
Problem

Research questions and friction points this paper is trying to address.

two-machine flow shop
non-availability interval
makespan
non-resumable
Innovation

Methods, ideas, or system contributions that make the work stand out.

permutation flow shop
non-availability interval
approximation algorithm
dynamic programming
FPTAS
Hao Lu
Hao Lu
Associate Professor, Huazhong University of Science and Technology
Computer VisionDeep LearningPlant Phenotyping
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Yuan Yuan
School of Information and Communication Engineering, Dalian Minzu University, Dalian, 116600, Liaoning, China.
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Xingwu Liu
School of Mathematical Sciences, Dalian University of Technology, Dalian, 116024, Liaoning, China.
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Xin Han
School of Software, Dalian University of Technology, Dalian, 116620, Liaoning, China.