Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems

H Yu, KZ Gao, ZF Ma, YX Pan - Swarm and Evolutionary Computation, 2023 - Elsevier
This study addresses a distributed assembly permutation flowshop scheduling problem,
which is of great significance in practical manufacturing systems. We aim to sequence …

Effects of emission reduction and rework policy in a production system of green products: An interval valued optimal control theoretic approach

S Das, G Mandal, AK Manna, AA Shaikh… - Computers & Industrial …, 2023 - Elsevier
Over the last few decades, the implementation of emission regulation by the government
due to the impact of emissions from the industrial sector on the environment has included a …

A hybrid collaborative framework for integrated production scheduling and vehicle routing problem with batch manufacturing and soft time windows

M Huang, B Du, J Guo - Computers & Operations Research, 2023 - Elsevier
This paper studies a new integrated production scheduling and vehicle routing problem
where the production of customer orders is performed under a batch manufacturing …

A property-based hybrid genetic algorithm and tabu search for solving order acceptance and scheduling problem with trapezoidal penalty membership function

Z Zhao, X Chen, Y An, Y Li, K Gao - Expert systems with applications, 2023 - Elsevier
To improve the profitability and customer satisfaction, in make-to-order environment,
manufacturers need to simultaneously consider which orders should be accepted and how …

A cooperative iterated greedy algorithm for the distributed flowshop group robust scheduling problem with uncertain processing times

ZY Wang, QK Pan, L Gao, XL Jing, Q Sun - Swarm and Evolutionary …, 2023 - Elsevier
This paper studies a distributed flowshop group robust scheduling problem with uncertain
processing times, which has great significance in actual production activities. First, we …

Dynamic opportunistic maintenance grouping in a lot streaming based job-shop scheduling problem

H Abdollahzadeh-Sangroudi, E Moazzam-Jazi… - Computers & Industrial …, 2023 - Elsevier
This paper aims to model maintenance planning with a dynamic opportunistic approach for
a job-shop production system. One issue in such a system is the positive or negative …

Integrated optimization of condition-based preventive maintenance and production rescheduling with multi-phase processing speed selection and old machine scrap

Y An, X Chen, J Hu, L Zhang, Z Zhao - Reliability Engineering & System …, 2023 - Elsevier
With the usage and aging of machine, condition-based preventive maintenance (CBPM) and
old machine scrap are two common phenomena in the actual production, and the latter may …

A hierarchical multi-level model for compromise allocation in multivariate stratified sample surveys with non-response problem

SA Jalil, A Haq, A Al Owad, N Hashmi… - Knowledge-Based …, 2023 - Elsevier
Stratified sampling, a widely-applicable probabilistic technique, is especially suited for large
and heterogeneously distributed populations. This paper studies optimal allocation of …

Multi-objective evolutionary algorithm based flexible assembly job-shop rescheduling with component sharing for order insertion

J Sun, Z Zhang, G Zhang, Z Huang - Computers & Operations Research, 2024 - Elsevier
This paper addresses a rescheduling problem in an order-driven flexible assembly job-
shop, which encompasses a complete production line from machining to assembly. Some …

A self-adaptive co-evolutionary algorithm for multi-objective flexible job-shop rescheduling problem with multi-phase processing speed selection, condition-based …

Y An, Z Zhao, K Gao, Y Dong, X Chen… - Swarm and Evolutionary …, 2024 - Elsevier
Production scheduling and maintenance planning are two interactive factors in modern
manufacturing system. However, at present, almost all studies ignore the impact of …