Recent advances in hybrid priority-based genetic algorithms for logistics and SCM network design

M Gen, L Lin, YS Yun, H Inoue - Computers & Industrial Engineering, 2018 - Elsevier
Abstract Design and optimization of logistics and supply chain management (SCM) network
is very important issue, which plans, implements and controls the efficient, effective forward …

Sustainability and optimization of supply chains: A literature review

Z Mujkic, A Qorri, A Kraslawski - Operations and Supply …, 2018 - journal.oscm-forum.org
Sustainability of supply chains (SCs) and supply chain optimization is a topic of increasing
interest in academia and industry. Although several authors have studied various aspects …

A stochastic multi-objective model for a closed-loop supply chain with environmental considerations

AM Fathollahi-Fard, M Hajiaghaei-Keshteli - Applied Soft Computing, 2018 - Elsevier
In today's world, environmental impacts usually motivate the governments and international
comities to control special properties of the designing supply chain networks at the early …

An optimization method for multi-objective and multi-factor designing of a ceramic slurry: Combining orthogonal experimental design with artificial neural networks

L Deng, B Feng, Y Zhang - Ceramics International, 2018 - Elsevier
Three-dimensional printing (3D printing) technology based on slurry extrusion makes it
possible to realize rapid manufacture of personalized, refined and complex ceramic …

Genetic algorithms

S Kumar, S Jain, H Sharma - Advances in swarm intelligence for …, 2018 - taylorfrancis.com
Nature always provides some of the well-planned way to solve the real-life problems.
Science is a conversation between the scientists/researchers and nature. The study of …

Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms

B Fahimnia, H Davarzani, A Eshragh - Computers & Operations Research, 2018 - Elsevier
Businesses have more complex supply chains than ever before. Many supply chain
planning efforts result in sizable and often nonlinear optimization problems that are difficult …

A multi-objective approach for supply chain design considering disruptions impacting supply availability and quality

M Pariazar, MY Sir - Computers & Industrial Engineering, 2018 - Elsevier
We develop a multi-objective stochastic programming model to explore tradeoffs between
costs and risk in the supply chain in the event a disruption occurs. We explicitly consider …

Design and engineering of sustainable process systems and supply chains by the P‐graph framework

H Cabezas, A Argoti, F Friedler… - Environmental …, 2018 - Wiley Online Library
The design of sustainable manufacturing processes and supply chains is rapidly becoming
a critical issue. The reason is the necessity of providing for the needs of a growing human …

Bi-objective mixed-integer nonlinear programming for multi-commodity tri-echelon supply chain networks

MH Alavidoost, M Tarimoradi, MHF Zarandi - Journal of intelligent …, 2018 - Springer
The competitive market and declined economy have increased the relevant importance of
making supply chain network efficient. Up to now, this has resulted in great motivations to …

[PDF][PDF] The combination of discrete-event simulation and genetic algorithm for solving the stochastic multi-product inventory optimization problem

I Jackson, J Tolujevs, T Reggelin - Transport and Telecommunication …, 2018 - sciendo.com
The paper describes an eventual combination of discrete-event simulation and genetic
algorithm to define the optimal inventory policy in stochastic multi-product inventory systems …