Results 221 to 230 of about 10,154 (312)

A multi-objective brain storm optimization for integrated distributed flexible job shop and distribution problems. [PDF]

Heliyon
Jia Y, Zhou Y, Fu Y.
europepmc   +1 more source

Optimization of machine tool processing scheduling based on differential evolution algorithm. [PDF]

PLoS One
Zhang Y, Zhang M.
europepmc   +1 more source

Probing a CNN-BiLSTM-Attention-Based Approach to Solve Order Remaining Completion Time Prediction in a Manufacturing Workshop. [PDF]

Sensors (Basel)
Chen W, Wang L, Liu C, Zhang Z, Tang D.
europepmc   +1 more source

Dynamic job shop scheduling under multiple order disturbances using deep reinforcement learning. [PDF]

Sci Prog
Sun Z, Han W, Gao L, Zhu C, Lyu Q.
europepmc   +1 more source

An improved intelligent optimization algorithm for small-batch order production scheduling. [PDF]

Sci Rep
Zhang X, Wang Z, Zhang D, Xu T, Jiang H.
europepmc   +1 more source

Centralized scheduling, decentralized scheduling or demand scheduling? How to more effectively allocate and recycle shared takeout lunch boxes. [PDF]

PLoS One
Bai Y, Liu D, Ma J.
europepmc   +1 more source

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Hybrid flow-shop scheduling problems with multiprocessor task systems

European Journal of Operational Research, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Oğuz, Ceyda, Zinder, Yakov, Do, Van Ha, Janiak, Adam, Lichtenstein, Maciej   +4 more
openaire   +1 more source

Hybrid bat algorithm for flow shop scheduling problems

International Journal of Mathematics in Operational Research, 2016
In this paper, a hybrid bat algorithm is proposed to solve the permutation flow shop scheduling problems with makespan criterion. Developed for numerical optimisation, local search techniques are integrated into the bat algorithm to solve the flow shop problems.
Ömür Tosun, M.K. Marichelvam
openaire   +1 more source

A Data-Driven Proactive Scheduling Approach for Hybrid Flow Shop Scheduling Problem

Volume 2: Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, 2021
Abstract As we all know, the COVID-19 pandemic brought a great challenge to manufacturing industry, especially for some traditional and unstable manufacturing systems. It reminds us that intelligent manufacturing certainly will play a key role in the future.
Dong Han, Wangming Li, Xinyu Li, Liang Gao, Yang Li   +4 more
openaire   +1 more source

An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem

Swarm and Evolutionary Computation, 2021
With the continuous development of national economies, problems of various energy consumption levels and pollution emissions in manufacturing have attracted attention from researchers.
Hao-Xiang Qin, Yu-yan Han, Biao Zhang, Leilei Meng, Yiping Liu, Q. Pan, D. Gong   +6 more
semanticscholar   +1 more source