Results 211 to 220 of about 3,088,335 (262)

A Knowledge-Based Cooperative Algorithm for Energy-Efficient Scheduling of Distributed Flow-Shop

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020
Facing increasingly serious ecological problems, sustainable development and green manufacturing have attracted much attention. Meanwhile, with the development of globalization, distributed manufacturing is becoming widespread.
Jing-jing Wang, Ling Wang
semanticscholar   +1 more source

A Multi-User Mobile Computation Offloading and Transmission Scheduling Mechanism for Delay-Sensitive Applications

IEEE Transactions on Mobile Computing, 2020
In this paper, a mobile edge computing framework with multi-user computation offloading and transmission scheduling for delay-sensitive applications is studied.
Changyan Yi, Jun Cai, Zhou Su
semanticscholar   +1 more source

A Reinforcement Learning Approach to Robust Scheduling of Semiconductor Manufacturing Facilities

IEEE Transactions on Automation Science and Engineering, 2020
As semiconductor manufacturers, recently, have focused on producing multichip products (MCPs), scheduling semiconductor manufacturing operations become complicated due to the constraints related to reentrant production flows, sequence-dependent setups ...
In-Beom Park, Jaeseok Huh, Joongkyun Kim, Jonghun Park   +3 more
semanticscholar   +1 more source

Modeling and multi-neighborhood iterated greedy algorithm for distributed hybrid flow shop scheduling problem

Knowledge-Based Systems, 2020
As economic globalization, large manufacturing enterprises build production centers in different places to maximize profit. Therefore, scheduling problems among multiple production centers should be considered.
W. Shao, Zhongshi Shao, D. Pi
semanticscholar   +1 more source

An improved particle swarm optimization algorithm to solve hybrid flowshop scheduling problems with the effect of human factors - A case study

Computers & Operations Research, 2020
This paper addresses the multi-stage hybrid flowshop scheduling problem with identical parallel machines at each stage by considering the effect of human factors. The various levels of labours and the effects of their learning and forgetting are studied.
M. K. Marichelvam, M. Geetha, Ömür Tosun   +2 more
semanticscholar   +1 more source

Smart Manufacturing Scheduling With Edge Computing Using Multiclass Deep Q Network

IEEE Transactions on Industrial Informatics, 2019
Manufacturing is involved with complex job shop scheduling problems (JSP). In smart factories, edge computing supports computing resources at the edge of production in a distributed way to reduce response time of making production decisions.
Chun-Cheng Lin, Der-Jiunn Deng, Yen-Ling Chih, Hsin Chiu   +3 more
semanticscholar   +1 more source

A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times

International Journal of Production Research, 2020
With the development of global and decentralised economies, distributed production emerges in large manufacturing firms. A distributed production model exists with hybrid flowshops.
Yingli Li, Xinyu Li, Liang Gao, Biao Zhang, Q. Pan, M. Tasgetiren, Leilei Meng   +6 more
semanticscholar   +1 more source

Dynamic production scheduling model under due date uncertainty in precast concrete construction

Journal of Cleaner Production, 2020
Precast concrete structures (PCs) are widely used in the construction industry to reduce project delivery times and improve quality. On-time delivery of PCs is critical for successful project completion because the processes involving precast concrete ...
Taehoon Kim, Yong-woo Kim, Hunhee Cho
semanticscholar   +1 more source

A mathematical model and heuristic algorithms for an unrelated parallel machine scheduling problem with sequence-dependent setup times, machine eligibility restrictions and a common server

Computers & Operations Research, 2019
Parallel machine scheduling problems with common servers have many industrial applications. In this paper, we study a generalized problem of scheduling with a common server, which is the unrelated parallel machine scheduling problem with sequence ...
G. Bektur, T. Saraç
semanticscholar   +1 more source

Real-time scheduling for a smart factory using a reinforcement learning approach

Computers & industrial engineering, 2018
Previous studies of the real-time scheduling (RTS) problem domain indicate that using a multiple dispatching rules (MDRs) strategy for the various zones in the system can enhance the production performance to a greater extent than using a single ...
Yeou-Ren Shiue, Ken-Chun Lee, Chao-Ton Su   +2 more
semanticscholar   +1 more source