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A Data-Driven Robust Scheduling Method Integrating Particle Swarm Optimization Algorithm with Kernel-Based Estimation
2021
Applied Sciences
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Robust scheduling methods aim to optimize the given criteria for improving the robustness of the schedule by organizing the assembly processes under uncertainty. ...
The assembly job shop scheduling problem (AJSSP) widely exists in the production process of many complex products. ...
For convenience, we call the above problem an assembly job shop scheduling problem. ...
doi:10.3390/app11125333
fatcat:gq6r4aztxjdmpatcye6dgxroyy
A Review of Prediction and Optimization for Sequence-Driven Scheduling in Job Shop Flexible Manufacturing Systems
2021
Processes
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This article reviews the state of the art of prediction and optimization for sequence-driven scheduling in job shop flexible manufacturing systems (JS-FMSs). ...
The objectives of the article are to (1) analyze the literature related to algorithms for sequencing and scheduling, considering domain, method, objective, sequence type, and uncertainty; and to (2) examine ...
Acknowledgments: We thank Heejin Seol for technical support via Smart Factory (Variant 4) analysis at the LINC+ Analytical Equipment Center at Hanyang University in Seoul. ...
doi:10.3390/pr9081391
fatcat:r3p5bzdlvnf2lnm6ymxq3vjcsm
Resilience-Based Surrogate Robustness Measure and Optimization Method for Robust Job-Shop Scheduling
2022
Mathematics
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This paper addresses the robust job-shop scheduling problems (RJSSP) with stochastic deteriorating processing times by considering the resilience of the production schedule. ...
A surrogate model for robust scheduling is proposed, which can optimize both the schedule performance and robustness of RJSSP. ...
Acknowledgments: The authors are thankful for the valuable comments and suggestions provided by the anonymous reviewers on the drafts of our paper. ...
doi:10.3390/math10214048
fatcat:cjbvl6tcobb3rksyofbte2t374
2018 Index IEEE Transactions on Engineering Management Vol. 65
2018
IEEE transactions on engineering management
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
Note that the item title is found only under the primary entry in the Author Index. ...
Corbett, J., +, TEM May 2018 252-263 J Job shop scheduling Flexible Assembly Job-Shop Scheduling With Sequence-Dependent Setup Times and Part Sharing in a Dynamic Environment: Constraint Programming Model ...
doi:10.1109/tem.2018.2878204
fatcat:hsylgcp3gbbbvkkizbfir3uqcm
:{unav)
2012
Journal of Scheduling
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This paper presents definitions appropriate for most applications of rescheduling manufacturing systems and describes a framework for understanding rescheduling strategies, policies, and methods. ...
Because a manufacturing system is dynamic and unexpected events occur, rescheduling is necessary to update a production schedule when the state of the manufacturing system makes it infeasible. ...
[75] decompose the job shop scheduling problem and solve a variant of the generalized assignment problem. ...
doi:10.1023/a:1022235519958
fatcat:bzszn5mjb5cs5f6wega57id77u
Robust Scheduling of cyclic Flow Shops based on stochastic Collision Functions
2008
IFAC Proceedings Volumes
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By the proposed methodology for robust controller design, we quantify the schedulability of a series of process plans (or jobs) to be produced at a robotic work cell with several machines and limited transport ...
The definition of the plan achievement function goes back to a collision avoidance mechanism. The approach is exemplified for periodic schedules of cyclic flow shops. ...
ACKNOWLEDGEMENT We thank Matthias Hüsig for performing simulations and for processing numerical data for this paper. ...
doi:10.3182/20080706-5-kr-1001.02515
fatcat:f6iqe5uu3feg3m5vutbk3rpxgq
Field-synchronized Digital Twin framework for production scheduling with uncertainty
2020
Journal of Intelligent Manufacturing
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To this end, the article proposes a proof-of-concept of a simheuristics framework for robust scheduling applied to a Flow Shop Scheduling Problem. ...
Research on scheduling problems is an evergreen challenge for industrial engineers. ...
The authors express their gratitude to Lorenzo Cesarini for his support in the presented work. ...
doi:10.1007/s10845-020-01685-9
fatcat:nm4iit27uzgklbaflqz3ye3j3q
Special Issue on Analysis, Design, and Optimization in Smart and Connected Production and Service Systems
2022
International Journal of Production Research
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In article 'Deep reinforcement learning for dynamic scheduling of a flexible job shop', Liu, Piplani and Toro present a hierarchical and distributed architecture to solve the dynamic flexible job shop ...
In paper 'A novel feature selection for evolving compact dispatching rules using genetic programming for dynamic job shop scheduling', Salama, Kaihara, Fujii and Kokuryo propose a new representation of ...
doi:10.1080/00207543.2022.2078036
fatcat:gywqetdnq5filhhtzk4scpzj3e
Intelligent Manufacturing Systems: A Review
2016
International Journal of Mechanical Engineering and Robotics Research
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The aim of this paper is to outline the recent accomplishments and developments in intelligent scheduling, process optimization, control, and maintenance. ...
and are also able to store and analyze large amounts of data to obtain increased quality of the product and lower production cost while shortening the time-to-market. ...
Scheduling problems typically encountered in the manufacturing industries can be split into 3 main categories: 1. Flow shop 2. Job shop and 3. Assembly Job/Flow shop. ...
doi:10.18178/ijmerr.7.3.324-330
fatcat:feku4hmue5hkbgimghhueugzpm
Introduction to Scheduling in Industry 4.0 and Cloud Manufacturing Systems
[chapter]
2020
International Series in Operations Research and Management Science
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We elaborate on the peculiarities of scheduling and sequencing problems in the context of Industry 4.0 and smart manufacturing. ...
In this chapter, we present an introduction to scheduling in Industry 4.0 and cloud manufacturing systems. ...
By combining the advantages of continuous and discrete optimization, their chapter develops a decomposition method for shop floor scheduling in Industry 4.0 manufacturing systems. ...
doi:10.1007/978-3-030-43177-8_1
fatcat:b4vayqrx5bb6zfeomk42pojioi
Part I: Adaptive Systems
2013
Procedia Computer Science
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considers a hybrid artificial bee colony algorithm to help solve the flexible job-shop scheduling problem under the constraint of completion time minimization. ...
Algorithm Based on the Natural Behavior of the Ant Colonies A Hybrid Artificial Bee Colony Algorithm with Local Search for Flexible Job-shop Scheduling Problem Ant-Inspired Decentralised Task Allocation ...
doi:10.1016/j.procs.2013.09.231
fatcat:zx6puvgvpvaqznqkhi2yx6wyli
Production Scheduling in Complex Job Shops from an Industrie 4.0 Perspective: A Review and Challenges in the Semiconductor Industry
2017
Zenodo
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While this review and certain challenges are motivated by semiconductor fabrication plants, the paper serves as a general overview of the state-of-the-art in job shop scheduling. ...
On the other hand, production scheduling in a Complex Job Shop (CJS) environment, such as wafer fabrication facilities, has drawn interest of researchers dating back to the 1950s [65, 18]. ...
ACKNOWLEDGEMENTS The authors would like to thank Norman Schmitz and the team from Elmos Semiconductor AG for the feedback and comments on industry challenges. ...
doi:10.5281/zenodo.495155
fatcat:5yte6zygabc65clmevycufluma
Multi agent reinforcement learning for online layout planning and scheduling in flexible assembly systems
2024
Journal of intelligent manufacturing (2024). doi:10.1007/s10845-023-02309-8
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A scheduling that can handle the complexity of dynamic events is necessary to plan job routes and control transportation in such an assembly system. ...
Therefore, the contribution of this work is an algorithm to dynamically solve the integrated problem of layout optimization and scheduling in line-less mobile assembly systems. ...
They solve a job scheduling and navigation control task in an autonomous mobile robot-driven shop floor using a MARL framework. ...
doi:10.18154/rwth-2024-01500
fatcat:rjfxxtvd3raurmro4e7d467xau
Recent developments in evolutionary computation for manufacturing optimization: problems, solutions, and comparisons
2000
IEEE Transactions on Evolutionary Computation
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A wide range of problems is covered, from job shop and flow shop scheduling, to process planning and assembly line balancing. ...
This paper examines recent developments in the field of evolutionary computation for manufacturing optimization. ...
ACKNOWLEDGMENT The authors would like to thank the reviewers for their helpful comments. ...
doi:10.1109/4235.850651
fatcat:akevaqtprzab5cgs3y3y534aju
Real-Life Scheduling Using Constraint Programming and Simulation
2003
IFAC Proceedings Volumes
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However, t he constraint-based, deterministic scheduling mode l can hardly account for all the uncertainties on the shop floor. ...
The paper presents an integrated production planner and job shop scheduler system with flexible modeling capabilities and powerful, scalable solution methods. ...
ACKNOWLEDGEMENTS This work has been supported by the "Digital Factory" NRDP grant No. 2/040/2001. The authors are particularly indebted to F. Erdélyi, Z. Mihályi and A. Szántai for their help. ...
doi:10.1016/s1474-6670(17)37762-5
fatcat:rjozd44eefa33al5vkl22hbe2e
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