A review of the high-mix, low-volume manufacturing industry
The high-mix, low-volume (HMLV) industry has seen growth in the need for product
customisation with research to increase manufacturers' flexibility for the variation in market …
customisation with research to increase manufacturers' flexibility for the variation in market …
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 …
applications. This work proposes a new bi-objective serial-batch group scheduling problem …
Optimal application deployment in resource constrained distributed edges
The dramatically increasing of mobile applications make it convenient for users to complete
complex tasks on their mobile devices. However, the latency brought by unstable wireless …
complex tasks on their mobile devices. However, the latency brought by unstable wireless …
Decomposition method for new single-machine scheduling problems from steel production systems
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 …
and bar rolling process is challenging in many steel plants, which has a direct impact on …
Robot-enabled construction assembly with automated sequence planning based on ChatGPT: RoboGPT
Robot-based assembly in construction has emerged as a promising solution to address
numerous challenges such as increasing costs, labor shortages, and the demand for safe …
numerous challenges such as increasing costs, labor shortages, and the demand for safe …
Event-triggered adaptive critic control design for discrete-time constrained nonlinear systems
In this paper, through event-triggered approach, the constrained near-optimal control
problem for a class of nonlinear discrete-time systems is investigated and solved by heuristic …
problem for a class of nonlinear discrete-time systems is investigated and solved by heuristic …
Approach to integrated scheduling problems considering optimal number of automated guided vehicles and conflict-free routing in flexible manufacturing systems
X Lyu, Y Song, C He, Q Lei, W Guo - IEEE Access, 2019 - ieeexplore.ieee.org
Usually, machine and automated guided vehicle (AGV) scheduling are studied
simultaneously. However, previous studies often used a fixed number of AGVs or did not …
simultaneously. However, previous studies often used a fixed number of AGVs or did not …
Energy optimization of large-scale AGV systems
We propose an efficient optimization method, which addresses several performance criteria,
such as makespan, maximum lateness, and the sum of tardiness for an automated guided …
such as makespan, maximum lateness, and the sum of tardiness for an automated guided …
Robust deadlock avoidance and control of automated manufacturing systems with assembly operations using Petri nets
Deadlock resolution has been an important research topic in the field of automated
manufacturing systems (AMSs). Researchers generally assume that AMS resources never …
manufacturing systems (AMSs). Researchers generally assume that AMS resources never …
Artificial-molecule-based chemical reaction optimization for flow shop scheduling problem with deteriorating and learning effects
Industry 4.0 is widely accepted to guide a novel and promising production paradigm where
many advanced intelligent machines and latest technologies are utilized. The self …
many advanced intelligent machines and latest technologies are utilized. The self …