Multi-AGV scheduling for conflict-free path planning in automated container terminals

M Zhong, Y Yang, Y Dessouky, O Postolache - Computers & Industrial …, 2020 - Elsevier
Path planning and integrated scheduling are two important problems to be resolved in the
design of any automated container terminal. There has been relatively little research …

Deep reinforcement learning for selecting demand forecast models to empower Industry 3.5 and an empirical study for a semiconductor component distributor

CF Chien, YS Lin, SK Lin - International Journal of Production …, 2020 - Taylor & Francis
A semiconductor distributor that plays a third-party role in the supply chain will buy diverse
components from different suppliers, warehouse and resell them to a number of electronics …

Hybrid particle swarm optimization combined with genetic operators for flexible job-shop scheduling under uncertain processing time for semiconductor manufacturing

T Jamrus, CF Chien, M Gen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Semiconductor manufacturing is a complicated flexible job-shop scheduling problem (FJSP)
of combinatorial complexity. Because of the adoption of advanced process control and …

Ensemble learning for demand forecast of After-Market spare parts to empower data-driven value chain and an empirical study

CF Chien, CC Ku, YY Lu - Computers & Industrial Engineering, 2023 - Elsevier
Demand forecast for spare parts in supply chains is essential for ensuring customer
satisfaction while minimizing appropriate inventory. The after-market orders mainly depend …

Hybrid differential evolution algorithm and genetic operator for multi-trip vehicle routing problem with backhauls and heterogeneous fleet in the beverage logistics …

K Sethanan, T Jamrus - Computers & Industrial Engineering, 2020 - Elsevier
Logistics is increasingly challenging because of increased competition and the uncertainty
introduced by globalization. The drinks distribution system considered here uses glass …

Genetic algorithms in supply chain management: A critical analysis of the literature

SK Jauhar, M Pant - Sādhanā, 2016 - Springer
Genetic algorithms (GAs) are perhaps the oldest and most frequently used search
techniques for dealing with complex and intricate real-life problems that are otherwise …

Differential evolution algorithms for scheduling raw milk transportation

K Sethanan, R Pitakaso - Computers and Electronics in Agriculture, 2016 - Elsevier
This paper focuses on determining routes for raw milk collection from collection centers to
dairy factories with the objective of minimizing the total costs, considering fuel costs and …

Dynamic coordinated scheduling for supply chain under uncertain production time to empower smart production for Industry 3.5

T Jamrus, HK Wang, CF Chien - Computers & Industrial Engineering, 2020 - Elsevier
To empower smart production for supply chain management, scheduling coordination and
integration between suppliers, manufacturers, distributors, and customers is becoming …

Hybrid differential evolution and particle swarm optimization for Multi-visit and Multi-period workforce scheduling and routing problems

V Punyakum, K Sethanan, K Nitisiri, R Pitakaso… - … and Electronics in …, 2022 - Elsevier
This research proposed an optimization method (Hybrid Differential Evolution and Particle
Swarm Optimization, HDEPSO) using a solution technique based on two well-known …

Stochastic design of biorefinery supply chains considering economic and environmental objectives

JE Santibañez-Aguilar, R Morales-Rodriguez… - Journal of cleaner …, 2016 - Elsevier
Biomass is a renewable resource that has attractive characteristics for energy production,
but the corresponding supply chain could be subject of several uncertain factors that can …