An effective hyper heuristic-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem

HB Song, YH Yang, J Lin, JX Ye - Applied Soft Computing, 2023 - Elsevier
In this paper, an effective Hyper Heuristic-based Memetic Algorithm (HHMA) is proposed to
solve the Distributed Assembly Permutation Flow-shop Scheduling Problem (DAPFSP) with …

Evolutionary learning based simulation optimization for stochastic job shop scheduling problems

A Ghasemi, A Ashoori, C Heavey - Applied Soft Computing, 2021 - Elsevier
Simulation Optimization (SO) techniques refer to a set of methods that have been applied to
stochastic optimization problems, structured so that the optimizer (s) are integrated with …

An integrated production and transportation scheduling problem with order acceptance and resource allocation decisions

S Aminzadegan, M Tamannaei, M Fazeli - Applied Soft Computing, 2021 - Elsevier
In the global market competition, coordinating decisions and integrating different aspects of
supply chains would help managers promote the overall performance of systems, and …

A gamified teaching–learning based optimization algorithm for a three-echelon supply chain scheduling problem in a two-stage assembly flow shop environment

M Rostami, A Yousefzadeh - Applied Soft Computing, 2023 - Elsevier
The supply chain scheduling problem, which is an integrated production scheduling and
distribution through the batch delivery system, has been studied by researchers for more …

Developing and solving an integrated model for production routing in sustainable closed-loop supply chain

Y Emamian, IN Kamalabadi, A Eydi - Journal of cleaner production, 2021 - Elsevier
Social and environmental sustainability has gained increasing importance in today's
complex supply chains. Accordingly, an integrated model for production routing in the …

Soccer-inspired metaheuristics: systematic review of recent research and applications

E Osaba, XS Yang - Applied Optimization and Swarm Intelligence, 2021 - Springer
Since the proposal of metaheuristics such as Genetic Algorithm, Particle Swarm
Optimization or Ant Colony Optimization, methods inheriting their core concepts have gained …

A robust possibilistic programming model for production-routing problem in a three-echelon supply chain

MA Beheshtinia, N Salmabadi… - Journal of Modelling in …, 2021 - emerald.com
Purpose This paper aims to provide an integrated production-routing model in a three-
echelon supply chain containing a two-layer transportation system to minimize the total costs …

Supply chain optimization considering sustainability aspects

MA Beheshtinia, P Feizollahy, M Fathi - Sustainability, 2021 - mdpi.com
Supply chain optimization concerns the improvement of the performance and efficiency of
the manufacturing and distribution supply chain by making the best use of resources. In the …

Supply chain digitalization and sports industry performance in Chinese context: a mediated moderated model

X Wang, L Ma, Q Niu, Y Zhang - Business Process Management …, 2024 - emerald.com
Purpose In era of industry 4.0 all the organizations are investing their resources so they can
adopt the latest technologies with no exception of supply chain. Accordingly, the present …

Optimizing disaster relief goods distribution and transportation: a mathematical model and metaheuristic algorithms

MA Beheshtinia, A Jozi, M Fathi - Applied Mathematics in Science …, 2023 - Taylor & Francis
The effective distribution of relief goods is critical in mitigating the impact of natural disasters
and preserving human life. This study addresses a relief goods distribution problem …