Production and operations management for intelligent manufacturing: A systematic literature review

L Zhou, Z Jiang, N Geng, Y Niu, F Cui… - International Journal of …, 2022 - Taylor & Francis
In the context of Industry 4.0, the manufacturing sector is moving from automation towards
intelligence. The application of new generation information and communication …

Automation in construction scheduling: a review of the literature

V Faghihi, A Nejat, KF Reinschmidt… - The International Journal of …, 2015 - Springer
Automating the development of construction schedules has been an interesting topic for
researchers around the world for almost three decades. Researchers have approached …

Review of job shop scheduling research and its new perspectives under Industry 4.0

J Zhang, G Ding, Y Zou, S Qin, J Fu - Journal of intelligent manufacturing, 2019 - Springer
Traditional job shop scheduling is concentrated on centralized scheduling or semi-
distributed scheduling. Under the Industry 4.0, the scheduling should deal with a smart and …

A new hybrid ant colony optimization algorithm for solving the no-wait flow shop scheduling problems

O Engin, A Güçlü - Applied Soft Computing, 2018 - Elsevier
This paper proposes an effective new hybrid ant colony algorithm based on crossover and
mutation mechanism for no-wait flow shop scheduling with the criterion to minimize the …

A methodology for implementation of mobile robot in adaptive manufacturing environments

I Nielsen, QV Dang, G Bocewicz… - Journal of intelligent …, 2017 - Springer
With the rapid development of technologies, many production systems and modes has been
advanced with respect to manufacturing, management and information fields. The paper …

A critical analysis of job shop scheduling in context of industry 4.0

RA Liaqait, S Hamid, SS Warsi, A Khalid - Sustainability, 2021 - mdpi.com
Scheduling plays a pivotal role in the competitiveness of a job shop facility. The traditional
job shop scheduling problem (JSSP) is centralized or semi-distributed. With the advent of …

Smart manufacturing scheduling approaches—Systematic review and future directions

D Alemão, AD Rocha, J Barata - Applied sciences, 2021 - mdpi.com
The recent advances in technology and the demand for highly customized products have
been forcing manufacturing companies to adapt and develop new solutions in order to …

Embedding ant system in genetic algorithm for re-entrant hybrid flow shop scheduling problems with time window constraints

C Chamnanlor, K Sethanan, M Gen… - Journal of Intelligent …, 2017 - Springer
This paper focuses on minimizing the makespan for a reentrant hybrid flow shop scheduling
problem with time window constraints (RHFSTW), which is often found in manufacturing …

Parametric appraisal and optimization in machining of CFRP composites by using TLBO (teaching–learning based optimization algorithm)

K Abhishek, V Rakesh Kumar, S Datta… - Journal of Intelligent …, 2017 - Springer
The present paper focuses on machining (turning) aspects of CFRP (epoxy) composites by
using single point HSS cutting tool. The optimal setting ie the most favourable combination …

Effective multiobjective EDA for bi-criteria stochastic job-shop scheduling problem

X Hao, M Gen, L Lin, GA Suer - Journal of intelligent Manufacturing, 2017 - Springer
This paper proposes an effective multiobjective estimation of distribution algorithm (MoEDA)
which solves the bi-criteria stochastic job-shop scheduling problem with the uncertainty of …