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Page 2018 of The Journal of the Operational Research Society Vol. 60, Issue Supplement 1 [page]

2009 The Journal of the Operational Research Society  
Open shop scheduling This decade saw the arrival of a new multi-stage scheduling system, the open shop.  ...  The term ‘open shop’ was coined in the paper of Gonzalez and Sahni (1976), who gave a fairly complete analysis of  ... 

Adaptive Job-shop Control Based on Permanent Order Sequencing

M. Niehues, F. Buschle, G. Reinhart
2015 Procedia CIRP  
The control of today's production systems is becoming more complex due to an increasing number of product variants, short-time delivery requirements and non-standardized production processes.  ...  Current tools for production planning like Advanced Planning and Scheduling (APS) systems support the creation of ideal production plans for this high complex production.  ...  Acknowledgements The authors would like to acknowledge the funding support of the German Federal Ministry of Economics and Technology (BMWi) within the programme "AUTONOMIK for Industry 4.0".  ... 
doi:10.1016/j.procir.2015.06.024 fatcat:4my6bo4ygnatda37flgdg6qyf4


Zeynep CEYLAN, Serol BULKAN, Hakan TOZAN
2019 Mühendislik Bilimleri ve Tasarım Dergisi  
Scheduling, Supply chain, Supply chain scheduling. Research on integration of supply chain and scheduling is relatively recent, and number of studies on this topic is increasing.  ...  In this study, existing literature on ISCS problems are reviewed and summarized by introducing the new classification scheme.  ...  Marandi (2017) focused on a variation of ISCS problem that contains a short shelf-life product and flow shop scheduling decisions in a single plant.  ... 
doi:10.21923/jesd.414551 fatcat:4yppdm6w2bhzzfy5bxcrwaoehq

Manufacturing Production Line Modelling and Classification of Associated NP-Hard Problems

Joseph Bonello, John Abela, Ernest Cachia
2018 International Journal of Computer & Software Engineering  
Citation: Bonello J, Abela J, Cachia E (2018) Manufacturing Production Line Modelling and Classification of Associated NP-Hard Problems. Int J Comput Softw Eng 3: 128.  ...  In particular, we focus on single machine and job shop problems. We show that the model can be extended to open shop problems.  ...  While the approach is good for a short technical description of a scheduling problem, it requires a good knowledge of the notation and know-how in analysing manufacturing shops and production lines.  ... 
doi:10.15344/2456-4451/2018/128 fatcat:pu6sda36jzenjnh37j74hotly4

Optimization of Multi-Task Job-Shop Scheduling Based on Uncertainty Theory Algorithm

Q. Chen, L. F. Deng, H. M. Wang
2018 International Journal of Simulation Modelling  
This paper aims to solve the difficulties in job-shop scheduling, a key determinant of production cost and economic effectiveness of manufacturing enterprises.  ...  The research findings shed new light on the production planning and scheduling strategy of manufacturing enterprises.  ...  ACKNOWLEDGEMENT This research was supported by Zhejiang Provincial Natural Science Foundation of China under Grant No. Q14A010009 and Natural Science Foundation of China under Grant No: 11501375.  ... 
doi:10.2507/ijsimm17(3)co14 fatcat:y7ntgnqwobb2zhg6dz4puh2iz4

Complex Production Structures in Assembly Processes

Grzechca W
2014 International Journal of Materials Mechanics and Manufacturing  
He studied different structures of machines (sequencing and scheduling in single machine and parallel machines configurations, job shop system, flow shop system, etc.).  ...  A final result of tasks assigning to the complex production structure is given and a quality of final solutions is discussed.  ...  In the last step we calculate total completion times for all variants and all methods of job shop scheduling to find the final solution of complex system. Table VIII includes the end results.  ... 
doi:10.7763/ijmmm.2014.v2.118 fatcat:4xi2lx2ywbhyzg53j3oh4dqbrq

Multi-objective optimization of production scheduling with evolutionary computation: A review

Robert Ojstersek, Miran Brezocnik, Borut Buchmeister
2020 International Journal of Industrial Engineering Computations  
Multi-Objective (MO) optimization is a well-known research field with respect to the complexity of production planning and scheduling.  ...  This paper is focused on making a review of MO production scheduling methods, starting from production scheduling presentation, notation and classification.  ...  Acknowledgement The authors gratefully acknowledge the support of the Slovenian Research Agency (ARRS), Research Core Funding No. P2-0190.  ... 
doi:10.5267/j.ijiec.2020.1.003 fatcat:qw6qauvkvzg4zjsfvxtviiincq

Achieving manufacturing excellence through the integration of enterprise systems and simulation

Asif Rashid, Benny Tjahjono
2016 Production planning & control (Print)  
This paper discusses the significance of the Enterprise Systems and simulation integration in improving the shop floor's short-term production planning capability.  ...  While the integration of Enterprise Systems and simulation gains a widespread agreement within the existing work, the optimality, scalability and flexibility of the schedules remained unanswered.  ...  The overall outcome is inaccurate prediction of short term horizon (weekly schedules).  ... 
doi:10.1080/09537287.2016.1143132 fatcat:hq3jtj5grjbdfh5qwxbmchztqy

A literature review and cluster analysis of the Aachen production planning and control model under Industry 4.0

Jan-Phillip Herrmann, Sven Tackenberg, Elio Padoano, Thilo Gamber
2021 Procedia Computer Science  
In literature, different classifications of the tasks and functions of production planning and control (PPC) exist, of which one is the German Aachen PPC model.  ...  In literature, different classifications of the tasks and functions of production planning and control (PPC) exist, of which one is the German Aachen PPC model.  ...  Existing scheduling techniques for the complex job shop scheduling problem in the semiconductor industry from an Industry 4.0 perspective are reviewed in [13] .  ... 
doi:10.1016/j.procs.2021.01.158 fatcat:zlptqoqth5f6ngvlkigmk66x3m

Hybrid Algorithm Based on Genetic Simulated Annealing Algorithm for Complex Multiproduct Scheduling Problem with Zero-Wait Constraint

Zhongyuan Liang, Mei Liu, Peisi Zhong, Chao Zhang, Xiao Wang, Peng-Yeng Yin
2021 Mathematical Problems in Engineering  
The effectiveness of the proposed algorithm for complex multiproduct scheduling problem with 0-wait constraint is verified by the test of related examples in the existing literature.  ...  Aiming at the complex multiproduct scheduling problem with 0-wait constraint, a hybrid algorithm based on genetic algorithm (GA) and simulated annealing (SA) algorithm was studied.  ...  Acknowledgments is work was supported by the Key Research and Development Plan of Shandong Province (2019GGX104102) and the Natural Science Foundation of Shandong Province (ZR2017MEE066).  ... 
doi:10.1155/2021/9951995 fatcat:w43xgbkkizaj3cf5maad7rsq3q

Production scheduling: a generic building block for enterprise integration [chapter]

Günter Schmidt
1996 Modelling and Methodologies for Enterprise Integration  
In this paper we investigate production scheduling as a generic building block for enterprise integration.  ...  We suggest an object-oriented representation of this module, determine its elements and define the interfaces to other areas of decision making.  ...  A Leitstand is a shop floor control system for short term decision making.  ... 
doi:10.1007/978-0-387-34983-1_20 fatcat:mm2ziqmhrfevhbywflwn2kzvtq

Model for the classification of scheduling problems based on ontology

Rihab Chaouch, Hanen Ghorbel, Soulef Khalfallah
2021 Procedia Computer Science  
Most of the time, researchers propose algorithms that relax some reel situations' constraints; given that reel shop description are not taken directly from the floor supervisor, or given the complexity  ...  Most of the time, researchers propose algorithms that relax some reel situations' constraints; given that reel shop description are not taken directly from the floor supervisor, or given the complexity  ...  After that, we find the classifications obtained for a particular shop which helps in solving scheduling problems.  ... 
doi:10.1016/j.procs.2021.01.244 fatcat:jrs33ckujvdanp4sjg443qixjy


Osama Mohammed Elmardi Suleiman Khayal
2018 Figshare  
The scheduling problems are classified based onthe nature of the shop configuration into five classes, i.e.,single machine, parallel machines, flow shop, job shop, andopen shop.  ...  Dynamicscheduling could be classified into four categories,completely reactive scheduling, predictive-reactivescheduling, robust predictive-reactive scheduling, androbust pro-active scheduling.  ...  Scheduling problem classifications . A schedule for each job is an allocation of one or more time intervals to one or more machines .  ... 
doi:10.6084/m9.figshare.7379393 fatcat:fcdzn7qcpva2lpvzd6kkhxftfu

Part I: Adaptive Systems

David Enke
2013 Procedia Computer Science  
considers a hybrid artificial bee colony algorithm to help solve the flexible job-shop scheduling problem under the constraint of completion time minimization.  ...  Task Allocation Strategy in Groups of Mobile Agents Effective Estimation of Distribution Algorithm for Stochastic Job Shop Scheduling Problem Toward Theory and Practice of Continuous Imprecise Numbers  ... 
doi:10.1016/j.procs.2013.09.231 fatcat:zx6puvgvpvaqznqkhi2yx6wyli

Shop-floor scheduling as a competitive advantage: A study on the relevance of cyber-physical systems in different manufacturing contexts

Rodrigo Romero-Silva, Gabriel Hernández-López
2019 International Journal of Production Economics  
as well as a complex production process could benefit the most from implementing a CPS at shop-floor level since a cyber-physical shop-floor will provide all the capabilities needed to carry out the complex  ...  scheduling task associated with this type of context.  ...  With their input we were able to significantly improve the clarity and content of this study. In loving memory of Anaid Romero Silva.  ... 
doi:10.1016/j.ijpe.2019.107555 fatcat:p45dfdvhnvfb5l2swg3pepqsge
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