Multi-Criteria Decision Making for Relation between Modern Industrial Systems
By: Agrawal, Narayan
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Publisher: New Delhi STM Journals 2018Edition: Vol, 5(3), Sep- Dec.Description: 1-17p.Subject(s): Computer EngineeringOnline resources: Click Here
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Recent trends in programming languagesSummary: research is to find relation between various modern industrial systems using multi-criteria decision making i.e., fuzzy algorithm. The proposed model is focused on integrating and managing the flow of material and information to make industrial systems more responsive to customer demand. Keeping this view, it is try to create a generalized software program with the aim of minimizing inventory. With the use of Fuzzy process and with the code developed, performance evaluation and relation between modern industrial systems i.e. Kanban, Conwip and Hybrid has been carried out.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2021-2021835 |
research is to find relation between various modern industrial systems using multi-criteria decision making i.e., fuzzy algorithm. The proposed model is focused on integrating and managing the flow of material and information to make industrial systems more responsive to customer demand. Keeping this view, it is try to create a generalized software program with the aim of minimizing inventory. With the use of Fuzzy process and with the code developed, performance evaluation and relation between modern industrial systems i.e. Kanban, Conwip and Hybrid has been carried out.
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