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Evaluation Of Process Models Using Heuristic Miner And Disjunctive Workflow Schema Algorithm For Dyeing Process

ISSN : 2231 - 153X
Journal from gdlhub / 2017-08-14 11:52:33
Oleh : Saravanan .M.S1 and Rama Sree, International Journal of Information Technology Convergence and Services
Dibuat : 2012-06-26, dengan 1 file

Keyword : Dynamic, complex, colour, shades, dye mix, real time audit, HM and DWS algorithm.
Subjek : Evaluation Of Process Models Using Heuristic Miner And Disjunctive Workflow Schema Algorithm For Dyeing Process
Url : http://airccse.org/journal/ijitcs/papers/0611itcs04.pdf
Sumber pengambilan dokumen : Internet

The dyeing domain is a dynamic, complex and involved various discipline. The dyeing process is


difficult to automate processes, because of their interdisciplinary and dynamic in nature. Moreover, it is


also critical to keep a check on the automated processes to produce the expected results in the form of


quality and timely dyeing processes. Delivering these processes is a complex, because colour shades are


generally new, and tend to have complex dye mix problems. The drive in dyeing organizations is to


reduce costs and at the same time improve the quality of colours the shades need. The benefit of


workflow management systems in such domain includes cost reduction, improved operational


efficiencies, pH test error reduction, improved shade quality, better communication and collaboration


and real time audit of processes. Hence, such systems need a process model and this process model


should clearly depict the control flow of the tasks in any type of dyeing process. Therefore the focus of


this paper is on the process discovery. For this a plug-in implemented in ProM Framework has been


used, for this HM algorithm and DWS algorithm. This study also evaluates the HM and DWS mining


algorithms, which may have a major impact on the future development of efficient process mining


algorithms.

Deskripsi Alternatif :

The dyeing domain is a dynamic, complex and involved various discipline. The dyeing process is


difficult to automate processes, because of their interdisciplinary and dynamic in nature. Moreover, it is


also critical to keep a check on the automated processes to produce the expected results in the form of


quality and timely dyeing processes. Delivering these processes is a complex, because colour shades are


generally new, and tend to have complex dye mix problems. The drive in dyeing organizations is to


reduce costs and at the same time improve the quality of colours the shades need. The benefit of


workflow management systems in such domain includes cost reduction, improved operational


efficiencies, pH test error reduction, improved shade quality, better communication and collaboration


and real time audit of processes. Hence, such systems need a process model and this process model


should clearly depict the control flow of the tasks in any type of dyeing process. Therefore the focus of


this paper is on the process discovery. For this a plug-in implemented in ProM Framework has been


used, for this HM algorithm and DWS algorithm. This study also evaluates the HM and DWS mining


algorithms, which may have a major impact on the future development of efficient process mining


algorithms.

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