Aggregate production planning under uncertainty: a comprehensive literature survey and future research directions

A Jamalnia, JB Yang, A Feili, DL Xu… - The International Journal of …, 2019 - Springer
This is the first literature survey of its kind on aggregate production planning (APP) under
uncertainty. Different types of uncertainty, such as stochasticity, fuzziness and possibilistic …

Industrial robot trajectory optimization-a review

M Ratiu, MA Prichici - MATEC web of conferences, 2017 - matec-conferences.org
This paper is the result of the literature review on the trajectory optimization of the serial
industrial robots, a study developed in a wider research in the field of the trajectory …

An effective hybrid genetic algorithm and variable neighborhood search for integrated process planning and scheduling in a packaging machine workshop

X Li, L Gao, Q Pan, L Wan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Process planning and scheduling are modeled sequentially in the traditional manufacturing
system. However, because of their complementarity, the increasing need to integrate them …

Integration of process planning and scheduling using chaotic particle swarm optimization algorithm

M Petrović, N Vuković, M Mitić, Z Miljković - Expert systems with …, 2016 - Elsevier
Process planning and scheduling are two of the most important manufacturing functions
traditionally performed separately and sequentially. These functions being complementary …

A novel methodology for optimal single mobile robot scheduling using whale optimization algorithm

M Petrović, Z Miljković, A Jokić - Applied Soft Computing, 2019 - Elsevier
One of the fundamental requirements for creating an intelligent manufacturing environment
is to develop a reliable, efficient and optimally scheduled material transport system. Besides …

Multi-objective scheduling of a single mobile robot based on the grey wolf optimization algorithm

M Petrović, A Jokić, Z Miljković, Z Kulesza - Applied Soft Computing, 2022 - Elsevier
During the last decades, intelligent mobile robots have been recognized as one of the most
promising and emerging solutions used for fulfilling material transport demands in intelligent …

Optimisation of the multi-depots pick-up and delivery problems with time windows and multi-vehicles using PSO algorithm

I Harbaoui Dridi, E Ben Alaïa, P Borne… - International Journal of …, 2020 - Taylor & Francis
Many sectors in the transport industry are concerned about the vehicle routing problem
(VRP), hence the growing interest of researchers for this type of problem and its variants …

[HTML][HTML] A novel MILP model based on the topology of a network graph for process planning in an intelligent manufacturing system

Q Liu, X Li, L Gao - Engineering, 2021 - Elsevier
Intelligent process planning (PP) is one of the most important components in an intelligent
manufacturing system and acts as a bridge between product designing and practical …

Concurrent local search for process planning and scheduling in the industrial Internet-of-Things environment

Y Laili, C Peng, Z Chen, F Ye, L Zhang - Journal of Industrial Information …, 2022 - Elsevier
Process planning and scheduling is one of the key factors to influence manufacturing quality
and efficiency. The Industrial Internet-of-Things is built up to enable intelligent sharing of …

[HTML][HTML] Specifying and optimizing robotic motion for visual quality inspection

Z Lončarević, A Gams, S Reberšek, B Nemec… - Robotics and Computer …, 2021 - Elsevier
Installation or even just modification of robot-supported production and quality inspection is
a tedious process that usually requires full-time human expert engagement. The resulting …