Wyniki wyszukiwania - BazTech

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The application of fuzzy logic integrated with Taguchi method in optimizing process parameter to reduce the time cycle

Gholizadeh H., Fazlollahtabar H.

Advances in Manufacturing Science and Technology

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2018

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Vol. 42, nr 1-4

55--66

EN

Given the importance of quality and responsiveness of manufacturing companies to customers, the most important principle can be considered reducing the cycle time of the production process. Since preserving the quality standards in a disposable necessities manufacturer is important, the Fuzzy Taguchi method as a powerful design optimization tool is used to determine the quality and design of optimal control parameters. Because in the real world due to measurement errors and inaccuracies in information and uncertainty in processes, fuzzy concepts have been used. Therefore, in this study, the parameters for controlling the process of disposable essentials are optimized to reduce the time cycle. Also, S/N and ANOVA methods have been used to study the characteristics of process performance. The four control parameters affecting the feed rate of the sheet, the machine wind pressure, and the mold temperature and sheet thickness affect the quality of the process. And Taguchi Fuzzy is a systematic and efficient method that reduces the cycle time. Experimental results have been reviewed and presented to evaluate the effectiveness of this approach in the Kach Company.

PL

Czas trwania cyklu procesu produkcyjnego jest jednym z podstawowych czynników zarówno zapewnienia wysokiej jakości produkcji jak również zmniejszenia czasu reakcji producentów na wymagania klienta. W pracy prowadzono optymalizację parametrów sterujących stosowanych w procesie produkcji wyrobów jednorazowego użytku dla skrócenia czasu cyklu produkcyjnego. Do badań przyjęto metodę Taguchiego z elementami logiki rozmytej. Uwzględniono w procesie optymalizacji wpływ błędów pomiarowych, niedokładność danych wejściowych oraz niepewność w ustaleniu prawidłowych wartości parametrów procesu. Stosowano w badaniach cztery parametry sterujące procesu: grubość arkusza tworzywa, prędkość podawania arkusza, ciśnienie robocze maszyny i temperaturę matrycy. Stosowano metodę S/N i analizę wariancji (ANOVA) dla oceny przebiegu procesu produkcyjnego. Wyniki analizy danych doświadczalnych były podstawą oceny efektywności optymalizacji procesu produkcyjnego w firmie Kach Company.

2

Decomposition versus Minimal Path and Cuts Methods for Reliability Evaluation of an Advanced Robotic Production System

Shojaeifar A., Fazlollahtabar H., Mahdavi I.

Journal of Automation Mobile Robotics and Intelligent Systems

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2016

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Vol. 10, No. 3

52--57

EN

As complex systems have become global and essential in today’s society, their reliable design and the determination of their availability have turned into a very important task for managers and engineers. Industrial robots are examples of these complex systems that are being increasingly used for intelligent transportation, production and distribution of materials in warehouses and automated production lines. In this paper, two techniques of reliability evaluation are developed for a complex system of robots. Decomposition method and minimal path and cuts method are adapted for the proposed complex system. For practical implementation, a particular robot system is first modeled. Then, reliability block diagram is adopted to model the complex system for reliability evaluation purpose. Finally, the methods are implemented and their properties are discussed.

3

A comprehensive mathematical programming model for minimizing costs in a multiple-item reverse supply chain with sensitivity analysis

Mahmoudi H., Fazlollahtabar H.

Management and Production Engineering Review

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2014

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Vol. 5, No. 3

42--52

EN

These instructions give you guidelines for preparing papers for IFAC conferences. A reverse supply chain is configured by a sequence of elements forming a continuous process to treat return-products until they are properly recovered or disposed. The activities in a reverse supply chain include collection, cleaning, disassembly, test and sorting, storage, transport, and recovery operations. This paper presents a mathematical programming model with the objective of minimizing the total costs of reverse supply chain including transportation, fixed opening, operation, maintenance and remanufacturing costs of centers. The proposed model considers the design of a multi-layer, multi-product reverse supply chain that consists of returning, disassembly, processing, recycling, remanufacturing, materials and distribution centers. This integer linear programming model is solved by using Lingo 9 software and the results are reported. Finally, a sensitivity analysis of the proposed model is also presented.