Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators
Manufacturing systems can be considered as a network of machines/workstations, where parts are produced in flow shop or job shop environment, respectively. Such network of machines/workstations can be depicted as a graph, with machines as nodes and material flow between the nodes as links. The aim o...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2017/9102824 |
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| _version_ | 1832559904393527296 |
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| author | Vladimir Modrak Zuzana Soltysova |
| author_facet | Vladimir Modrak Zuzana Soltysova |
| author_sort | Vladimir Modrak |
| collection | DOAJ |
| description | Manufacturing systems can be considered as a network of machines/workstations, where parts are produced in flow shop or job shop environment, respectively. Such network of machines/workstations can be depicted as a graph, with machines as nodes and material flow between the nodes as links. The aim of this paper is to use sequences of operations and machine network to measure static complexity of manufacturing processes. In this order existing approaches to measure the static complexity of manufacturing systems are analyzed and subsequently compared. For this purpose, analyzed competitive complexity indicators were tested on two different manufacturing layout examples. A subsequent analysis showed relevant potential of the proposed method. |
| format | Article |
| id | doaj-art-771e98664b2f47a69b47257c6780aaca |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-771e98664b2f47a69b47257c6780aaca2025-02-03T01:28:56ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/91028249102824Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity IndicatorsVladimir Modrak0Zuzana Soltysova1Faculty of Manufacturing Technologies, Technical University of Kosice, Bayerova 1, 080 01 Presov, SlovakiaFaculty of Manufacturing Technologies, Technical University of Kosice, Bayerova 1, 080 01 Presov, SlovakiaManufacturing systems can be considered as a network of machines/workstations, where parts are produced in flow shop or job shop environment, respectively. Such network of machines/workstations can be depicted as a graph, with machines as nodes and material flow between the nodes as links. The aim of this paper is to use sequences of operations and machine network to measure static complexity of manufacturing processes. In this order existing approaches to measure the static complexity of manufacturing systems are analyzed and subsequently compared. For this purpose, analyzed competitive complexity indicators were tested on two different manufacturing layout examples. A subsequent analysis showed relevant potential of the proposed method.http://dx.doi.org/10.1155/2017/9102824 |
| spellingShingle | Vladimir Modrak Zuzana Soltysova Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators Complexity |
| title | Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators |
| title_full | Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators |
| title_fullStr | Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators |
| title_full_unstemmed | Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators |
| title_short | Novel Complexity Indicator of Manufacturing Process Chains and Its Relations to Indirect Complexity Indicators |
| title_sort | novel complexity indicator of manufacturing process chains and its relations to indirect complexity indicators |
| url | http://dx.doi.org/10.1155/2017/9102824 |
| work_keys_str_mv | AT vladimirmodrak novelcomplexityindicatorofmanufacturingprocesschainsanditsrelationstoindirectcomplexityindicators AT zuzanasoltysova novelcomplexityindicatorofmanufacturingprocesschainsanditsrelationstoindirectcomplexityindicators |