Two-stage meta-heuristic for part-packing and build-scheduling problem in parallel additive manufacturing

SJ Lee, BS Kim - Applied Soft Computing, 2023 - Elsevier
This paper studies the part-packing and build-scheduling problem in parallel additive
manufacturing. The multi-part grouping, 2D placement, and 3D rotation should be …

An adaptive artificial bee colony for hybrid flow shop scheduling with batch processing machines in casting process

J Wang, D Lei, H Tang - International Journal of Production …, 2024 - Taylor & Francis
Hybrid flow shop scheduling problem (HFSP) with real-life constraints has been extensively
considered; however, HFSP with batch processing machines (BPM) at a middle stage is …

Planning and scheduling shared manufacturing systems: key characteristics, current developments and future trends

E Duran, C Ozturk, B O'Sullivan - International Journal of …, 2024 - Taylor & Francis
The economic and social crises of the past two decades have prompted a shift from
traditional, isolated manufacturing to shared manufacturing. The COVID-19 pandemic has …

Minimizing total completion time on non-identical parallel batch machines with arbitrary release times using ant colony optimization

H Zhang, K Li, Z Jia, C Chu - European Journal of Operational Research, 2023 - Elsevier
This paper considers the problem of scheduling a group of jobs with arbitrary release times,
non-identical sizes, and different processing times on non-identical parallel batch …

Scheduling a set of jobs with convex piecewise linear cost functions on a single-batch-processing machine

H Zhang, Y Yang, F Wu - Omega, 2024 - Elsevier
We investigate a general single-batch-processing machine scheduling problem of
minimizing the total costs of all jobs with general convex piecewise linear cost functions …

Dynamic decision-making for knowledge-enabled distributed resource configuration in cloud manufacturing considering stochastic order arrival

Y Zhang, Z Zhang, Y Lu, H Zhu, D Tang - Robotics and Computer …, 2024 - Elsevier
The emergence of COVID-19 caused the stagnation of production activities and promoted
the changing market demand. These uncertainties not only brought great challenges to the …

A novel collaborative iterative greedy algorithm for hybrid flowshop scheduling problem with batch processing machines and variable sublots

C Li, Y Han, B Zhang, Y Wang, J Li… - International Journal of …, 2024 - Taylor & Francis
Lot streaming technology enables continuous overlapping operations, which is of great
significance in shortening production cycles, reducing unnecessary waiting time, and …

A bi-objective evolutionary algorithm for minimizing maximum lateness and total pollution cost on non-identical parallel batch processing machines

K Li, H Zhang, C Chu, Z Jia, Y Wang - Computers & Industrial Engineering, 2022 - Elsevier
The concept of sustainable development, which strives to protect the environment while
developing economic and industrial sectors, has received widespread attention. This paper …

A multi-objective dynamical artificial bee colony for energy-efficient fuzzy hybrid flow shop scheduling with batch processing machines

J Wang, D Lei, H Tang - Expert Systems with Applications, 2025 - Elsevier
Energy-efficient hybrid flow shop scheduling problem (EHFSP) with batch processing
machines (BPMs) is rarely considered, let alone EHFSP with BPMs and uncertainty. In this …

An adaptive large neighborhood search for unrelated parallel machine scheduling with setup times and delivery times

F Xie, K Li, J Chen, W Xiao, T Zhou - Computers & Operations Research, 2025 - Elsevier
This paper investigates the problem of scheduling jobs on unrelated parallel machines,
considering setup times and delivery times. The objective is to minimize the total weighted …