Dual-objective mixed integer linear program and memetic algorithm for an industrial group scheduling problem

Z Zhao, S Liu, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Group scheduling problems have attracted much attention owing to their many practical
applications. This work proposes a new bi-objective serial-batch group scheduling problem …

A concise guide to scheduling with learning and deteriorating effects

J Pei, Y Zhou, P Yan, PM Pardalos - International Journal of …, 2023 - Taylor & Francis
In practical manufacturing systems, the job processing time usually varies with the
performance change of manufacturing resources, among which the learning and …

Heuristic scheduling of batch production processes based on petri nets and iterated greedy algorithms

Z Zhao, S Liu, MC Zhou, D You… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Wire rod and bar rolling is an important batch production process in steel production
systems. A scheduling problem originated from this process is studied in this work by …

Decomposition method for new single-machine scheduling problems from steel production systems

Z Zhao, S Liu, MC Zhou, X Guo… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Production scheduling is a crucial task in modern steel plants. The scheduling of a wire rod
and bar rolling process is challenging in many steel plants, which has a direct impact on …

Dynamic shuffled frog-leaping algorithm for distributed hybrid flow shop scheduling with multiprocessor tasks

J Cai, R Zhou, D Lei - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
Distributed scheduling problems have attracted much attention in recent years; however,
distributed hybrid flow shop scheduling problem (DHFSP) is seldom investigated. In this …

A multi-batch L-BFGS method for machine learning

AS Berahas, J Nocedal… - Advances in Neural …, 2016 - proceedings.neurips.cc
The question of how to parallelize the stochastic gradient descent (SGD) method has
received much attention in the literature. In this paper, we focus instead on batch methods …

An effective multi-objective whale swarm algorithm for energy-efficient scheduling of distributed welding flow shop

G Wang, X Li, L Gao, P Li - Annals of Operations Research, 2022 - Springer
Distributed welding flow shop scheduling problem is an extension of distributed permutation
flow shop scheduling problem, which possesses a set of identical factories of welding flow …

A hybrid BA-VNS algorithm for coordinated serial-batching scheduling with deteriorating jobs, financial budget, and resource constraint in multiple manufacturers

J Pei, X Liu, W Fan, PM Pardalos, S Lu - Omega, 2019 - Elsevier
We study a coordinated serial-batching scheduling problem that features deteriorating jobs,
financial budget, resource constraints, resource-dependent processing times, setup times …

The online integrated order picking and delivery considering Pickers' learning effects for an O2O community supermarket

J Zhang, F Liu, J Tang, Y Li - Transportation Research Part E: Logistics and …, 2019 - Elsevier
The online-to-offline (O2O) community supermarket is currently a popular O2O business
model in China. Owing to the small lot-size, high frequency, time-sensitive, and dynamic …

Scheduling problem in seru production system considering DeJong's learning effect and job splitting

Z Zhang, X Song, H Huang, Y Yin, B Lev - Annals of operations research, 2022 - Springer
Seru is a relatively new type of Japanese production mode originated from the electronic
assembly industry. In practice, seru production has been proven to be efficient, flexible …