Hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems

Izabela Rojek; Mieczysław Jagodziński

doi:10.1007/978-3-642-28931-6_22

Hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems

Izabela Rojek
, Mieczysław Jagodziński

Department of Systems Biology and Engineering (RAU/RAU1)

Kazimierz Wielki University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

32 Citations (Scopus)

Abstract

The paper presents hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems. The system includes neural networks. The models were created by use simple neural networks (linear network - L, multi-layer network with error backpropagation - MLP and Radial Basis Function network - RBF) and hybrid neural networks in the form of: L - MLP network, L - RBF network, MLP-RBF network and L - MLP - RBF network. Neural networks as classification models were used to selection of tool for manufacturing operation. Next models as forecasting models were used to forecasting of tool use in different time intervals for manufacturing operation. These models were used at the stage of constraint bases scheduling and preventing standstill due to lack of tools, and special tools in particular. The created models were tested on real data from an enterprise.

Original language	English
Title of host publication	Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Proceedings
Pages	229-240
Number of pages	12
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-28931-6_22
Publication status	Published - 2012
Event	7th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2012 - Salamanca, Spain Duration: 28 Mar 2012 → 30 Mar 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7209 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2012
Country/Territory	Spain
City	Salamanca
Period	28/03/12 → 30/03/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Neural network
classification
constraint based scheduling
forecasting
intelligent support

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-28931-6_22

Cite this

Rojek, I., & Jagodziński, M. (2012). Hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems. In Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Proceedings (PART 2 ed., pp. 229-240). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7209 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-28931-6_22

Rojek, Izabela ; Jagodziński, Mieczysław. / Hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems. Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Proceedings. PART 2. ed. 2012. pp. 229-240 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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abstract = "The paper presents hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems. The system includes neural networks. The models were created by use simple neural networks (linear network - L, multi-layer network with error backpropagation - MLP and Radial Basis Function network - RBF) and hybrid neural networks in the form of: L - MLP network, L - RBF network, MLP-RBF network and L - MLP - RBF network. Neural networks as classification models were used to selection of tool for manufacturing operation. Next models as forecasting models were used to forecasting of tool use in different time intervals for manufacturing operation. These models were used at the stage of constraint bases scheduling and preventing standstill due to lack of tools, and special tools in particular. The created models were tested on real data from an enterprise.",

keywords = "Neural network, classification, constraint based scheduling, forecasting, intelligent support",

author = "Izabela Rojek and Mieczys{\l}aw Jagodzi{\'n}ski",

year = "2012",

doi = "10.1007/978-3-642-28931-6\_22",

language = "English",

isbn = "9783642289309",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Proceedings",

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Rojek, I & Jagodziński, M 2012, Hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems. in Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7209 LNAI, pp. 229-240, 7th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2012, Salamanca, Spain, 28/03/12. https://doi.org/10.1007/978-3-642-28931-6_22

Hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems. / Rojek, Izabela; Jagodziński, Mieczysław.
Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Proceedings. PART 2. ed. 2012. p. 229-240 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7209 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The paper presents hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems. The system includes neural networks. The models were created by use simple neural networks (linear network - L, multi-layer network with error backpropagation - MLP and Radial Basis Function network - RBF) and hybrid neural networks in the form of: L - MLP network, L - RBF network, MLP-RBF network and L - MLP - RBF network. Neural networks as classification models were used to selection of tool for manufacturing operation. Next models as forecasting models were used to forecasting of tool use in different time intervals for manufacturing operation. These models were used at the stage of constraint bases scheduling and preventing standstill due to lack of tools, and special tools in particular. The created models were tested on real data from an enterprise.

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KW - intelligent support

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Rojek I, Jagodziński M. Hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems. In Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Proceedings. PART 2 ed. 2012. p. 229-240. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-28931-6_22

Hybrid artificial intelligence system in constraint based scheduling of integrated manufacturing ERP systems

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this