Ćosić, Predrag and Lisjak, Dragutin and Milčić, Diana (2012) Process and Production as a Part of Logistic Activities. = Process and Production as a Part of Logistic Activities. In: VII Scientific Conference International Mechanical Engineering, COMEC 2012, 5.-7.11.2012., Santa Maria Beach Resort, Kuba.
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Ćosić_Process and production as a part of logistic activities.pdf - Published Version Jezik dokumenta:English Download (417kB) | Preview |
Abstract
Classification consideration of the product shape and process sequencing are important conditions for designing a general model for the estimation of production times. In fact, it means development of a technological knowledge base. As a result of our analysis, we have created eight regression equations with the obtained index of determination, with the most important independent variables different for 2D and 3D model. The observed level of subjectivity, constraints and errors were the reasons to use neural networks as the second approach to estimate production time. The survival and growth of businesses in today's market is based on constant innovation and new product development. Business innovation as other approach must take place at all levels, from products, and processes to the organization itself, in order to bring about improvements in competitiveness and business efficiency. We can respond to such demands and manage the appropriate tools to simulate the activities and processes within the factory in the virtual world. The simulation (as introduction to the logistic activities) of the entire flow of materials, including all significant activities of production, storage and transportation are key requirements for quality production planning and necessary manufacturing processes. Discrete simulations, i.e. the applications used for running this type of simulation provide the possibility of creating different scenarios concerning cases of different production parameters, the burden of production capacities, as well as their delays and failures. The simulation model was improved by genetic algorithm for the purpose of minimizing costs and delivery times of products.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Keywords (Croatian): | process planning, stepwise linear multiple regression, production time, neural network |
| Subjects: | TECHNICAL SCIENCE > Mechanical Engineering |
| Divisions: | 700 Department of Industrial Engineering > 710 Chair of Production Design 700 Department of Industrial Engineering > 720 Chair of Production Control |
| Indexed in Web of Science: | No |
| Indexed in Current Contents: | No |
| Date Deposited: | 28 Jun 2016 14:04 |
| Last Modified: | 15 Jan 2018 13:01 |
| URI: | http://repozitorij.fsb.hr/id/eprint/5979 |
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