A hybrid multi-objective evolutionary algorithm for solving an adaptive flexible job-shop rescheduling problem with real-time order acceptance and condition-based …

Y An, X Chen, K Gao, L Zhang, Y Li, Z Zhao - Expert systems with …, 2023 - Elsevier
Production scheduling and maintenance planning are two of the most important tasks in the
modern manufacturing workshop. Meanwhile, due to the dynamic order arrival and real-time …

Tools and practices for tactical delivery date setting in engineer-to-order environments: a systematic literature review

S Bhalla, E Alfnes, HH Hvolby - International Journal of Production …, 2023 - Taylor & Francis
The research interest in topics related to production and supply chain planning and control
in engineer-to-order (ETO) environments has grown significantly over the last three …

A classification and review of timed Markov models of manufacturing systems

CT Papadopoulos, J Li, MEJ O'Kelly - Computers & Industrial Engineering, 2019 - Elsevier
Many problems in manufacturing systems can be formulated via Markov stochastic
modeling. This paper gives a review and classification of timed models of manufacturing …

[HTML][HTML] Big data driven order-up-to level model: Application of machine learning

JBB Clausen, H Li - Computers & Operations Research, 2022 - Elsevier
Data driven optimisation has become one of the research frontiers in operations
management and operations research. Likewise, the recent academic interest in big data …

Recent research trend of economic‐lot scheduling problems

H Kai Chan, S Ho Chung, MK Lim - Journal of Manufacturing …, 2013 - emerald.com
Purpose–This research note aims to present a summary of research concerning economic‐
lot scheduling problem (ELSP). Design/methodology/approach–The paper's approach is to …

Real-time order acceptance and scheduling for data-enabled permutation flow shops: Bilevel interactive optimization with nonlinear integer programming

W Chen, X Gong, HF Rahman, H Liu, E Qi - Omega, 2021 - Elsevier
With the fourth-generation industrial revolution, manufacturing industries are focusing on
dynamic, fully autonomous, and more customer-oriented production systems. This customer …

Dynamic order acceptance and capacity planning in a stochastic multi-project environment with a bottleneck resource

P Melchiors, R Leus, S Creemers… - International Journal of …, 2018 - Taylor & Francis
We study the integration of order acceptance and capacity planning in multi-project
environments with dynamically arriving projects. We model this planning problem as a …

Dynamic order acceptance and scheduling problem with sequence-dependent setup time

L Xu, Q Wang, S Huang - International Journal of Production …, 2015 - Taylor & Francis
This paper studies the order acceptance and scheduling problem under a single machine
environment when the orders come stochastically during the planning horizon and a …

Rescheduling strategies for integrating rush orders with preventive maintenance in a two-machine flow shop

Y Chiu, CJ Shih - International Journal of Production Research, 2012 - Taylor & Francis
Preventive maintenance and rush orders are related. Although preventive maintenance is
essential for maximising equipment reliability, it can substantially slow the manufacturing …

Real-time capacity requirement planning for make-to-order manufacturing with variable time-window orders

YF Hung, CC Huang, Y Yeh - Computers & Industrial Engineering, 2013 - Elsevier
In a make-to-stock (MTS) manufacturing environment using material requirement planning
(MRP), checking the capacity feasibility of a master production schedule (MPS) requires …