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Production Scheduling in Complex Job Shops from an Industrie 4.0 Perspective: A Review and Challenges in the Semiconductor Industry

Bernd Waschneck, Thomas Bauernhansl, Thomas Altenmüller, Andreas Kyek
2017 Zenodo  
On the one hand, Industrie 4.0 has recently emerged as the keyword for increasing productivity in the 21st century.  ...  This review presents and assesses production scheduling techniques in complex job shops from an Industrie 4.0 perspective.  ...  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

Preface: Multiprocessor Scheduling, Theory and Applications [chapter]

Eugene Levner
2007 Multiprocessor Scheduling, Theory and Applications  
This volume contains four major parts that cover the following directions: the state of the art in theory and algorithms for classical and non-standard scheduling problems; new exact optimization algorithms  ...  , approximation algorithms with performance guarantees, heuristics and metaheuristics; novel models and approaches to scheduling; and, last but least, several real-life applications and case studies.  ...  Search algorithms based on heuristic improvement and local evolutionary procedures are formulated and computationally compared.  ... 
doi:10.5772/5211 fatcat:i4hco3bepjeo3i2eps3g46miga

A Heuristic Algorithm Approach For Scheduling Of Multi-Criteria Unrelated Parallel Machines

Farhad Kolahan, Vahid Kayvanfar
2009 Zenodo  
In this paper we address a multi-objective scheduling problem for unrelated parallel machines. In unrelated parallel systems, the processing cost/time of a given job on different machines may vary.  ...  The objective of scheduling is to simultaneously determine the job-machine assignment and job sequencing on each machine. In such a way the total cost of the schedule is minimized.  ...  On the other hand, most scheduling problems for parallel machines have real occurrences in industrial systems. It's proved that scheduling problems for parallel machines is NPhard [6] .  ... 
doi:10.5281/zenodo.1082473 fatcat:llrokhdlsbb7nodhdg7foj3ox4

Recent Advances in Scheduling and Its Applications

Peng Liu, Hua Gong, Baoqiang Fan, Radoslaw Rudek, Purushothaman Damodaran, Guochun Tang
2015 Discrete Dynamics in Nature and Society  
Acknowledgments We are grateful to all of the authors for their contributions and the reviewers for their effort providing helpful comments and suggestions.  ...  The work is also supported by the National Natural Science Foundation of China (Grant nos. 71001074, 71101097, and 11001117) and the Program for Liaoning Excellent Talents in University (Grant nos.  ...  There is still a lively interest in classical models incorporating new features that reflect modern industrial processes.  ... 
doi:10.1155/2015/738637 fatcat:3j5voayvsfe3fkhg6xaw3g2xky

Optimization of Scheduling in FMS using Heuristic Approaches: A Case Study

Gaganpreet Kaur, Gayatri Devi, Aditya Agrahari
2018 International Journal of Trend in Scientific Research and Development  
The flow shop scheduling problems are experiencing a huge eminence in this modern era of industrialization.  ...  Some major heuristics algorithms are the CDS algorithm, Palmer's algorithm, and NEH algorithm are considered in this paper for finding the most optimized result.  ...  The flow shop scheduling problems are experiencing a huge eminence in this modern era of industrialization.  ... 
doi:10.31142/ijtsrd14336 fatcat:usmycyntrbhqzcxzqyo7qwv2zm

Scheduling Alternative Operations in Two-Machine Flow-Shops

C-H. Pan, J-S. Chen
1997 Journal of the Operational Research Society  
Gere” investigates several heuristic algorithms for traditional job shop scheduling and concludes that the use of alternative operations improves productivity.  ...  As a consequence, the flexible manufacturing system (FMS) which offers the flexibility to produce economically in lots of any size is becoming increasingly important in modern industrial settings.  ... 
doi:10.2307/3010512 fatcat:rowglzasqzevnpcvvgufoppgoa

Page 533 of The Journal of the Operational Research Society Vol. 48, Issue 5 [page]

1997 The Journal of the Operational Research Society  
Gere” investigates several heuristic algorithms for traditional job shop scheduling and concludes that the use of alternative operations improves productivity.  ...  As a consequence, the flexible manufacturing system (FMS) which offers the flexibility to produce economically in lots of any size is becoming increasingly important in modern industrial settings.  ... 

Improved Beam Search for Optimizing No-wait Flowshops with Release Times

Pourya Pourhejazy, Shih-Wei Lin, Chen-Yang Cheng, Kuo-Ching Ying, Pei-Yu Lin
2020 IEEE Access  
This study introduces the no-wait flowshop scheduling problem with release times (NWFSP-RT) to help advance decision support systems in the food production industry.  ...  A BS algorithm, and an improved variant, the local search-based Beam Search (BS LS ) algorithms are developed to solve the NWFSP-RT problem.  ...  Given the importance of scheduling in the design of decision support systems [4] , case-specific formulations, and effective solution algorithms are of high significance to help modernize the production  ... 
doi:10.1109/access.2020.3015737 fatcat:ux2vyvduzbhttlcqsslaqybl4u

Review on Optimization Techniques for AGV's Optimization in Flexible manufacturing System

. • Summarized Optimization Techniques used for AGV's.  ...  [1] discussed mathematical methods such as heuristics methods, meta-heuristics methods and artificial intelligence to improve AGV systems for planning and route construction in production, distribution  ...  Yokota [35] , used Heuristic Algorithm for evaluating performane of AGVs used in Warehouse.An algorithm was proposed that produced a very low interaction schedule for both AGVs and human pickers.  ... 
doi:10.35378/gujs.994588 fatcat:ebapz5xegfbi3dxgfcucaykgsy

A Hyper Heuristic Algorithm Based Genetic Programming for Steel Production Scheduling of Cyber-Physical System-ORIENTED

Xiaowu Chen, Guozhang Jiang, Yongmao Xiao, Gongfa Li, Feng Xiang
2021 Mathematics  
For the dynamic scheduling, the heuristic scheduling rules were established. With the method, a hyper-heuristic algorithm based on genetic programming is presented.  ...  To make up for the difficulty of dynamic scheduling of steel production in a complex environment and provide an idea for developing steel production to intelligent manufacturing.  ...  Hyper heuristic algorithm study. There are still some improvements in the combination of hyper-heuristic algorithm and other strategies.  ... 
doi:10.3390/math9182256 fatcat:di2aqm73bzgt7ngdba5csnj4ty


Sivasankaran Panneerselvam
2019 Industrial Engineering Journal  
In those days humans are considered to be the vital element in Industries starting from planning till execution of various tasks to be carried in production operations.  ...  In a chaotic situation one cannot predict the exact supply and demand of materials for starting the production. In order to overcome the problem the assistance of artificial intelligence is required.  ...  Hence use of heuristics or algorithm will try to reduce the problem solving time within stipulated hours. In this paper simple algorithm was developed for scheduling n jobs with m number of machines.  ... 
doi:10.26488/iej.12.5.1188 fatcat:hj7agp2mqjglrjjtsrrjizszny

M-machine SDST flow shop scheduling using modified heuristic genetic algorithm

A Dhingra, P Chandna
2010 International Journal of Engineering, Science and Technology  
rules based genetic algorithms for the SDST flow shop scheduling, especially for larger sized problems.  ...  In the present work, a modified heuristic based genetic algorithm (MHGA) has been developed for the aforesaid scheduling problem subject to the minimization of weighted sum of total weighted squared tardiness  ...  Acknowledgments The authors would like to thank the anonymous reviewers for their valuable suggestions in revising the manuscript.  ... 
doi:10.4314/ijest.v2i5.60151 fatcat:tq5jdlrabjagxnnnr7mzxkt72a

Performance optimization of a leagility inspired supply chain model: a CFGTSA algorithm based approach

F. T. S. Chan, Vikas Kumar
2008 International Journal of Production Research  
The present work proposes a leagile supply chain based model, for the manufacturing industries.  ...  The proposed CFGTSA algorithm has been compared to GA, SA, TS, and Hybrid Tabu SA algorithms to reveal its efficacy in handling the complex scheduling problems.  ...  The leagile principles emphasizes on the product generalization, which enables the industries to go for the generic product as far as in their supply chain, so that the chances of the product to be outdated  ... 
doi:10.1080/00207540600844068 fatcat:y55bbmpaobcnxi2dnva2auewdq

No-Wait Flexible Flow Shop Scheduling with Due Windows

Rong-Hwa Huang, Chang-Lin Yang, Shang-Chia Liu
2015 Mathematical Problems in Engineering  
Therefore, this study concludes that the proposed algorithm ACOFU performs excellently when applied to the scheduling problem discussed in this study.  ...  No-wait FSMP is a modern production system that responds to periods when zero work is required in process production. The production process must be continuous and uninterrupted.  ...  [14] proposed a new scheduling heuristic for multi-item hoist production lines with flexible processing times in the context of an existing industrial application problem.  ... 
doi:10.1155/2015/456719 fatcat:jp2efmllr5gfjfz76cpqh2edqy

Comparative study of heuristics algorithms in solving flexible job shop scheduling problem with condition based maintenance

Lian Lian, Khaled Mesghouni
2014 Journal of Industrial Engineering and Management  
heuristic algorithm and then maintenance tasks are inserted into the pre-schedule scheme.  ...  An inserting algorithm (IA) -518-Journal of Industrial Engineering and Management - is proposed to solve the dynamic scheduling problem.  ...  In the future research, improving of IA is expected, as well the heuristic algorithm for solving normal FJSP.  ... 
doi:10.3926/jiem.1038 fatcat:76tso7ayo5gc3pev7zmbgottgq
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