Softverski prototip za optimizaciju i upravljanje proizvodnim procesima

Modeling of manufacturing processes aimed at better understanding, optimization and process control is very important in manufacturing practice. This is usually achieved by integrating empirical models with classical mathematical and meta-heuristic algorithms. In this paper, software prototype “Function Analyzer” for optimization and control of manufacturing processes is presented. It is based on the mathematical iterative search of entire space of possible input values. This way, the developed software is able to determine global extreme points of the process model and corresponding input values (process optimization). Furthermore, it is able to determine the optimal input values that satisfy the specified requirements for output value and accuracy (process control). The developed software is characterized by extendible architecture, flexible user interface and efficient operation. The abilities of software prototype “Function Analyzer” were demonstrated on two case studies. The first one considers the regression based modeling of dry turning of cold rolled alloy steel. The second case study considers the artificial neural network based modeling of dry turning of unreinforced polyamide.Modeliranje proizvodnih procesa s ciljem boljeg razumijevanja, optimizacije i upravljanja procesa je vrlo važno u proizvodnoj praksi. U tu svrhu obično se vrši integracija empirijskih modela procesa s klasičnim matematičkim i meta-heurističkim algoritmima. U ovom radu je predstavljen softverski prototip “Function Analyzer” za optimizaciju i upravljanje proizvodnih procesa koji se temelji na matematičkom iterativnom pretraživanju cijelog prostora mogućih ulaznih vrijednosti. Na taj način razvijeni softver je u mogućnosti odrediti globalne ekstremne točke modela procesa i odgovarajuće ulazne vrijednosti (optimizacija procesa). Nadalje, u stanju je odrediti optimalne ulazne vrijednosti koje zadovoljavaju određene uvjete za izlazne vrijednosti i točnosti (upravljanje procesa). Razvijeni softver karakterizira nadogradiva arhitektura, fleksibilno korisničko sučelje i učinkovit rad. Sposobnosti softverskog prototipa “Function Analyzer” su demonstrirane na dvije studije slučaja. Prva razmatra regresijsko modeliranje procesa tokarenja hladno valjanog legiranog čelika. Druga studija slučaja razmatra modeliranje procesa tokarenja neojačanog poliamida pomoću umjetne neuronske mreže

Framework for Product Lifecycle Management integration in Small and Medium Enterprises networks

In order to improve the performance of extended enterprises, Small and Medium Enterprises (SMEs) must be integrated into the extended networks. This integration must be carried out on several levels which are mastered by the Product Lifecycle Management (PLM). But, PLM is underdeveloped in SMEs mainly because of the difficulties in implementing information systems. This paper aims to propose a modeling framework to facilitate the implementation of PLM systems in SMEs. Our approach proposes a generic model for the creation of processes and data models. These models are explained, based on the scope and framework of the modeling, in order to highlight the improvements provided

Knowledge Reuse for Customization: Metamodels in an Open Design Community for 3d Printing

Theories of knowledge reuse posit two distinct processes: reuse for replication and reuse for innovation. We identify another distinct process, reuse for customization. Reuse for customization is a process in which designers manipulate the parameters of metamodels to produce models that fulfill their personal needs. We test hypotheses about reuse for customization in Thingiverse, a community of designers that shares files for three-dimensional printing. 3D metamodels are reused more often than the 3D models they generate. The reuse of metamodels is amplified when the metamodels are created by designers with greater community experience. Metamodels make the community's design knowledge available for reuse for customization-or further extension of the metamodels, a kind of reuse for innovation

A formal verification framework and associated tools for enterprise modeling : application to UEML

The aim of this paper is to propose and apply a verification and validation approach to Enterprise Modeling that enables the user to improve the relevance and correctness, the suitability and coherence of a model by using properties specification and formal proof of properties

Modeling of Traceability Information System for Material Flow Control Data.

This paper focuses on data modeling for traceability of material/work flow in information layer of manufacturing control system. The model is able to trace all associated data throughout the product manufacturing from order to final product. Dynamic data processing of Quality and Purchase activities are considered in data modeling as well as Order and Operation base on lots particulars. The modeling consisted of four steps and integrated as one final model. Entity-Relationships Modeling as data modeling methodology is proposed. The model is reengineered with Toad Data Modeler software in physical modeling step. The developed model promises to handle fundamental issues of a traceability system effectively. It supports for customization and real-time control of material in flow in all levels of manufacturing processes. Through enhanced visibility and dynamic store/retrieval of data, all traceability usages and applications is responded. Designed solution is initially applicable as reference data model in identical lot-base traceability system