Results 51 to 60 of about 87,297 (252)
Deep Reinforcement Learning for Dynamic Flexible Job Shop Scheduling with Random Job Arrival
Processes, 2022 The production process of a smart factory is complex and dynamic. As the core of manufacturing management, the research into the flexible job shop scheduling problem (FJSP) focuses on optimizing scheduling decisions in real time, according to the changes
Jingru Chang +4 more
semanticscholar +1 more source
Job Shop Scheduling with Flexible Maintenance Planning
, 2017 This thesis considers the scheduling challenges encountered at a particular facility in the nuclear industry. The scheduling problem is modelled as a variant of the job shop scheduling problem. Important aspects of the considered problem include the scheduling of jobs with both soft and hard due dates, and the integration of maintenance planning with ...
Struijker Boudier, Ivar +3 more
openaire +3 more sources
IEEE Access, 2019 This paper addresses the energy-efficient scheduling and real-time control of flexible job shop that requires rescheduling affected operations and updating the scheduling. For energy-efficient scheduling shop floor efficiently, we propose a metaheuristic
Songling Tian +3 more
doaj +1 more source
Selected heuristic algorithms for solving job shop and flow shop scheduling problems [PDF]
, 2014 Importance of job shop and flow shop scheduling has increased to a high extent. Nowadays, each and every industry focuses largely on how to schedule their machine working, since it is an important factor which decides the net productivity.
Das, M K
core
Scheduling Jobs in Flowshops with the Introduction of Additional Machines in the Future [PDF]
, 2008 This is the author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Elsevier and can be found at: http://www.journals.elsevier.com/expert-systems-with-applications/.The problem of scheduling jobs to ...
A. Apostolico +15 more
core +3 more sources
IEEE Access, 2014 Over time, the traditional single-objective job shop scheduling method has grown increasingly incapable of meeting the requirements of contemporary business models; thus, a multiobjective scheduling solution is required.
Tung-Kuan Liu +2 more
doaj +1 more source
Scheduling of job shop, make-to-order industries with recirculation and assembly: discrete versus continuous time models [PDF]
, 2009 This work studies the performance of two Mixed Integer Linear Programming (MILP) models to solve scheduling problems in a flexible job shop environment with recirculation and assembly using a due-date-based objective function. The models convey different
Barbosa-Póvoa, Ana Paula +2 more
core
Internet scheduling environment with market-driven agents [PDF]
, 2004 This paper describes a new generation scheduling paradigm, the Internet scheduling environment. It is formed by a group of Internet scheduling agents which share computational resources to solve scheduling problems in a distributed and collaborative ...
Wu, OQ, Yen, BPC
core +1 more source
Impact of Personnel Flexibility on Job Shop Scheduling [PDF]
Scientific Programming, 2016 Considering the lack of the research on the relationship between HR flexibility and scheduling effect, a resource-competency matrix-based method was proposed in order to reveal the quantitative relationship between them. Meanwhile, a job shop scheduling model with HR flexibility was established and the improved genetic algorithm was used to solve the ...
Ren Lin +4 more
openaire +1 more source
A benchmark dataset for multi-objective flexible job shop cell scheduling
Data in BriefThis data article presents a description of a benchmark dataset for the multi-objective flexible job shop scheduling problem in a cellular manufacturing environment. This problem considers intercellular moves, exceptional parts, sequence-dependent family
Derya Deliktaş +3 more
doaj +1 more source