Data management in industry 4.0: State of the art and open challenges
Information and communication technologies are permeating all aspects of industrial and
manufacturing systems, expediting the generation of large volumes of industrial data. This …
manufacturing systems, expediting the generation of large volumes of industrial data. This …
Application of modified multi-objective particle swarm optimisation algorithm for flexible process planning problem
Z Miljković, M Petrović - International Journal of Computer …, 2017 - Taylor & Francis
Process planning belongs to one of the most essential functions of the modern
manufacturing system. Moreover, flexible process planning implies the ability of a system to …
manufacturing system. Moreover, flexible process planning implies the ability of a system to …
Hybrid greedy algorithms for fuzzy tardiness/earliness minimisation in a special single machine scheduling problem: case study and generalisation
S Niroomand, A Hadi-Vencheh, N Mirzaei… - … Journal of Computer …, 2016 - Taylor & Francis
This paper focuses on earliness and tardiness minimisation of a special case of single
machine scheduling problem with common fuzzy due-date. The problem arises from a cable …
machine scheduling problem with common fuzzy due-date. The problem arises from a cable …
Coexistent scheduling in the tandem flow path configuration of a flexible manufacturing system by using an advanced grey wolf optimizer
VK Chawla, AK Chanda, S Angra… - Scientia …, 2022 - scientiairanica.sharif.edu
The use of material handling robots (MHRs) for efficient material handling operations in the
flexible manufacturing systems (FMS) has gained wide popularity and acceptability across …
flexible manufacturing systems (FMS) has gained wide popularity and acceptability across …
Integrated process planning and system configuration for mixed-model machining on rotary transfer machine
New generation of rotary transfer machines processing different models of parts is
considered. In order to enhance the cost-effectiveness of mixed-model rotary transfer …
considered. In order to enhance the cost-effectiveness of mixed-model rotary transfer …
Quantum-inspired hybrid algorithm for integrated process planning and scheduling
M Liu, S Yi, P Wen - Proceedings of the Institution of …, 2018 - journals.sagepub.com
Process planning and job shop scheduling problems are the two classical but crucial
activities in manufacturing system. With the approach of integrated process planning and …
activities in manufacturing system. With the approach of integrated process planning and …
[HTML][HTML] A nested partitioning-based solution method for seru scheduling problem with resource allocation
This paper investigates the production scheduling problems of allocating resources and
sequencing jobs in the seru production system (SPS). As a new-type manufacturing mode …
sequencing jobs in the seru production system (SPS). As a new-type manufacturing mode …
A New Nested Partition Algorithm for Parallel Machine Scheduling Problem with hard Q-Times and Setup Times
C Wang, L Shi - 2022 IEEE 18th International Conference on …, 2022 - ieeexplore.ieee.org
This paper addresses the non-preemptive unrelated parallel machine scheduling problems
with machine-dependent and sequence-dependent setup times, machine eligibility …
with machine-dependent and sequence-dependent setup times, machine eligibility …
Job scheduling and resource allocation in parallel‐machine system via a hybrid nested partition method
Y Fu, G Jiang, G Tian, Z Wang - IEEJ Transactions on Electrical …, 2019 - Wiley Online Library
Scheduling problems with resource allocation have received much attention in the academic
and industrial communities in recent years. This study addresses a parallel‐machine …
and industrial communities in recent years. This study addresses a parallel‐machine …
A New Method for Human-Machine Ratio Configuration Scheduling Problem
C Wang, L Shi - 2023 IEEE 19th International Conference on …, 2023 - ieeexplore.ieee.org
As automation and intelligence become more prevalent, large-scale scheduling problems
increasingly involve collaboration between human labor and machines. To optimize …
increasingly involve collaboration between human labor and machines. To optimize …