Reducing tardy batches by \textit{seru} production: model, exact solution, cooperative coevolution solution, and insights
From MaRDI portal
Publication:6068681
DOI10.1016/j.cor.2022.106048MaRDI QIDQ6068681
Jiafu Tang, Yang Yu, Xiaolong Li, Wei Sun
Publication date: 13 November 2023
Published in: Computers \& Operations Research (Search for Journal in Brave)
Cites Work
- New algorithms for minimizing the weighted number of tardy jobs on a single machine
- Scheduling uniform parallel machines subject to a secondary resource to minimize the number of tardy jobs
- An exact algorithm for large multiple knapsack problems
- Minimizing the number of tardy jobs for \(m\) parallel machines
- A bound and bound algorithm for the zero-one multiple knapsack problem
- A performance comparison and evaluation of metaheuristics for a batch scheduling problem in a multi-hybrid cell manufacturing system with skilled workforce assignment
- Assemble-to-order systems: a review
- Minimizing the weighted number of tardy jobs on parallel processors
- Logic-based Benders decomposition method for the \textit{seru} scheduling problem with sequence-dependent setup time and DeJong's learning effect
- Attaining flexibility in seru production system by means of Shojinka: an optimization model and solution approaches
- Two-agent scheduling on unrelated parallel machines with total completion time and weighted number of tardy jobs criteria
- Mathematical analysis and solutions for multi-objective line-cell conversion problem
- Generating efficient schedules for identical parallel machines involving flow-time and tardy jobs
- A new branch and bound algorithm for minimizing the weighted number of tardy jobs
- Scheduling problem in seru production system considering DeJong's learning effect and job splitting
- Modeling and numerical analysis of line-cell conversion problems
- Solving Parallel Machine Scheduling Problems by Column Generation
This page was built for publication: Reducing tardy batches by \textit{seru} production: model, exact solution, cooperative coevolution solution, and insights