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 …
A salp swarm algorithm for parallel disassembly line balancing considering workers with government benefits
Proper disassembly operations organization and workstation assignment can help increase
the efficiency of disassembly systems that are critical for recycling and remanufacturing of …
the efficiency of disassembly systems that are critical for recycling and remanufacturing of …
Quasi group role assignment with role awareness in self-service spatiotemporal crowdsourcing
Self-service spatiotemporal crowdsourcing (SSC), a booming variant of spatiotemporal
crowdsourcing (SC), emerges because of the vigorous development of the mobile Internet …
crowdsourcing (SC), emerges because of the vigorous development of the mobile Internet …
Symbolic scheduling of robotic cellular manufacturing systems with timed Petri nets
To reduce the computational burden in the scheduling of robotic cellular manufacturing
(RCM) systems based on Petri nets'(PNs) reachability graphs, existing methods mainly focus …
(RCM) systems based on Petri nets'(PNs) reachability graphs, existing methods mainly focus …
Solving last-mile logistics problem in spatiotemporal crowdsourcing via role awareness with adaptive clustering
Last-mile logistics is a crucial phase of online commodity trades. In last-mile logistics, one of
the critical problems is to reasonably assign couriers to distribute the products in time in …
the critical problems is to reasonably assign couriers to distribute the products in time in …
Computation of an emptiable minimal siphon in a subclass of Petri nets using mixed-integer programming
Deadlock resolution strategies based on siphon control are widely investigated. Their
computational efficiency largely depends on siphon computation. Mixed-integer …
computational efficiency largely depends on siphon computation. Mixed-integer …
Multi-objective discrete grey wolf optimizer for solving stochastic multi-objective disassembly sequencing and line balancing problem
There is a growing concern in recycling plants for minimizing the negative environmental
impacts (such as carbon emissions) of disassembling end-of-life products. Uncertainty …
impacts (such as carbon emissions) of disassembling end-of-life products. Uncertainty …
Deep Reinforcement Learning With a Look-Ahead Search for Robotic Cell Scheduling
Robotized manufacturing systems consisting of several processing machines and a robot for
transporting jobs between the machines have been widely used in mechanical and …
transporting jobs between the machines have been widely used in mechanical and …
AB&B: An anytime branch and bound algorithm for scheduling of deadlock-prone flexible manufacturing systems
This work investigates a scheduling problem of deadlock-prone flexible manufacturing
systems modeled by place-timed Petri nets. It proposes an anytime branch and bound …
systems modeled by place-timed Petri nets. It proposes an anytime branch and bound …
[HTML][HTML] Scheduling of single-arm cluster tools with residency time constraints and chamber cleaning operations
To ensure wafer quality, engineers have to impose wafer residency time constraints and
chamber cleaning operations on cluster tools; this has been widely used in semiconductor …
chamber cleaning operations on cluster tools; this has been widely used in semiconductor …