Volume 9 - 2018

SMED Methodology Implementation in an Automotive Industry Using a Case Study Method

Tiago Bidarra, Radu Godina, João C.O. Matias, Susana G. Azevedo

Nowadays is ever more important to reduce superfluous costs at industrial units. Only through such an approach the margin of profit could be increased. The aim of this paper is to demonstrate the contribution of the Single-Minute Exchange of Die (SMED) methodology to reduce setup times in the stamping process of metal components in the automotive industry. A qualitative approach based on a case study is used to demonstrate this contribution. In this case study the application of the SMED methodology provides considerable gains in terms of setup time reduction (45%) through a better reorganization of the work and arrangements. According to the case study the application of the SMED methodology should be accompanied by a reorganization of work, training and the implementation of a systematic and effective method of performing of the various operations that are executed at the enterprise.

 

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Positioning “Techno-Economics” as an Interdisciplinary Reference Frame for Research and Teaching at the Interface of Applied Natural Sciences and Applied Social Sciences: An Approach Based on Austrian IEM Study Programmes

Bernd Markus Zunk

Students who want to address the “Techno-Economics” (TE) scientific community in their final assignment (i.e. master, diploma or doctoral thesis) are confronted with the specific challenges that interdisciplinary research poses. Hence, to help them respond to these challenges, this paper aims to draft a reference frame that provides orientation in this interdisciplinary research and teaching setting at the interface of “applied natural sciences” (in terms of engineering science resp. technology) and “applied social sciences” (in terms of business economics), without limiting freedom of thought within the research process. The presented TE teaching and research reference frame is primarily based on the needs of Austrian students of industrial engineering and management (IEM). It intends to enable both IEM students and researchers, first, to identify the relevant TE scientific community and, second, to become active within this scientific community with an adequate line of research.

 

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Software Tool for Work and Occupational Radon Health Risk Modeling

Mladen Nikolić, Milena Deljanin, Predrag Sibinović, Golubović Dragan, Svetlana Stevović

The occupational and work health effects of exposure to radon have been exhamined for many years. Recent advances have been made in evaluating the risk associated with radon exposure and in implementing remediation programs in dwellings. This research presents the development of a user friendly web based software package based upon current information on radon epidemiology, radon dosimetry, exhalation rates, long term measurements, demography, and countermeasure efficiency. The software has been designed to perform lung cancer risk calculations specific to populations for various exposure profiles and to evaluate, in terms of risk reduction, the efficiency of various countermeasures in dwellings. This paper presents an overview of the general structure of the software and outlines its most important modeling approaches. Radon mapping and modeling application is a web based application developed for purpose of occupational and residential health risk modeling. Its developed as web application to be available to students and scientist in Serbia. Also it have mission to collect data in unique data base. This data base will be a great resource in future research of radon. From software engineering point of view it’s based on PHP – Mysql platform for managing data in data base and Ajax for user interface.

 

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Cross Country Evidence on the Cointegration and Causality Relationships Between Economic Growth and CO2 Emissions in OECD Countries

Tatiana Marceda Bach, Ubiratã Tortato, Wesley Vieira da Silva

This article aims to verify the existence of a relationship of cointegration and causality between economic growth and CO2 emissions in 22 member countries of the OECD, in a time series from 1961 to 2011. The results indicate that economic growth and CO2 are in balance in the long run for ten countries. The causality test showed a bilateral relationship, suggesting that variations in economic growth cause CO2 emissions and CO2 emissions cause economic growth. Long and short-term alternative measure, such as reforestation, the fight against deforestation, the use of wind, nuclear, and solar power, electric vehicles, incentives for the use of public transport, capture and storage of CO2 are recommended for countries that CO2 caused economic growth. Thus, it is concluded that there is evidence of long-term and causal relationships between economic growth and CO2 emissions.

 

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An Analytic Hierarchy Process Based Approach for Indirect Labour Cost Allocation

Cristina Ponsiglione, Maria Elena Nenni, Gianfranco Castellano, Armando Molisso

This study aims at proposing a methodological approach supporting the allocation of indirect labour costs to different projects in complex multi-project environments. The purpose is to build a flexible methodology based on activity-based costing principles, which is suitable in all situations characterized by a high impact of indirect labour costs and a certain level of business complexity. The proposed methodology is based on the application of an analytic hierarchy process (AHP) approach to create a multi criteria–based ranking of the projects. Indirect labour costs are then allocated proportionally to the obtained relative weights. The methodology has been tested in a multi project–based organization operating in the defence industry. The results from the case study demonstrate that the proposed AHP-based approach can provide a method that takes into account the subjectivity and uniqueness of activities performed by humans. At the same time, the developed multi-criteria approach is flexible enough to adjust to the requirements of different management structures and to the changes in projects’ portfolio. The application of this approach is now limited to just one case study, but even if a multiple case study research strategy is desirable in the future, it doesn’t seem to affect the robustness and generalizability of the methodology.

 

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A Conceptual Solution of Low-Cost Temperature Data Logger With Relatively High Accuracy

Milovan Medojevic-Medo, Milana Medojevic, Nikola Radakovic, Milovan Lazarevic, Nemanja Sremcev

In this paper, an effort has been made to design and develop low-cost temperature data logger with relatively high accuracy. Initially, the conceptual solution of data logger consists of several elements where the main components are Arduino Uno R3 with ATmega328 microcontroller, 1-wire digital temperature sensor DS18B20 and pull-up resistors, connected with jumper wires through Breadboard according to the program algorithm. In addition, relevant component specifications are concisely provided upon which schematic connection diagram was generated. Lastly, the aim of this study was to build a platform for sensor with data logging ability in order to achieve excellent performance at substantially lower costs then currently available ones on the market

 

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Supply Network Design by Using Clustering and Mixed Integer Programming

Nicolás Clavijo Buriticá, John Wilmer Escobar, Rafael Gutiérrez

The Supply Network Design represents one of the high impact strategic decisions in competitiveness for companies. An optimal location of facilities in relation to the capacity of supply and demand, allows a high level service to attend the markets. In this paper, a methodological framework for designing supply networks by joining application of clustering techniques and mathematical programming are presented. The proposed methodology has been tested with real data obtained from a company of non-alcoholic beverages in Colombia. The approach considers three main stages. First, the costumers clustering process is performed by K-means in order to obtain the location for potential Distribution Centers (DC’s). In the second stage, the model for supply network design is performed using a Mixed Integer Programming (MIP) by considering different options to assign DC’s, and finally the valuation of the proposed methodology on a real case. A distribution scheme, which allows enter to new market areas with an efficient strategy to penetrate products to big cities such as Bogotá in Colombia, was found.

 

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Mathematical Simulation and Thermal State Analysis of Combustion Chambers for Power Systems

Alexander V. Kretinin, M.I. Kirpichev, Semen Podvalny, Mitar Lutovac, E.S. Podvalny

Some problems of thermodynamic, hydraulic and thermal calculations of the thermal state analysis and performance of the liquid-propellant rocket engine design using neural network modeling are detected. The algorithm of the numerical decision of the hydrodynamics equations with representation of the decision on method of weighted residuals on the base of general neuronet's approximation in the whole flow area is developed. There are presented some applications of neural-network algorithms used in thermal calculations of the LRE chamber such as the simulation of hydraulic non-uniformity of fuel distribution among the sprayers of LRE mixing devices..

 

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The Implementation of ERP and MES Systems as a Support to Industrial Management Systems

Dalibor Berić, Darko Stefanović, Bojan Lalić, Ilija Ćosić

The improvement of the processes within the production system is the need of each company in order to enable better monitoring and control, as well as to provide all real-time information that are important for the decision-making process, in order to improve all processes and simultaneously control all elements of the process. Some of the systems that provide process monitoring are Enterprise Resources Planning-ERP and Manufacturing Execution Systems (MES) systems, but they are often not sufficiently integrated. The aim of this paper is to explore the needs of users of ERP and MES systems as well as the processes of implementation and integration of the new MES system into an already existing ERP system in a single automotive industry, with all the benefits for the users of the system that a company can achieve by implementing a well-implemented software solution.

 

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U-Shaped Cells Operating Modes: a Review and a Hands-on Simulation Comparison

Anabela Carvalho Alves

Increased demands of different products put some challenges to the production system layout that are not well addressed by the job-shop neither flow-lines layout. Cellular production is a production system layout that enables higher productivity than job-shop and greater flexibility than flow-lines and it is appointed as a better layout to face the product and volumes changes occurring in the companies. The cells design involves the operating mode selection for the U-shaped cell. Operating modes are the way the operators are organized inside a cell. This could take the form of working balance, baton touch, rabbit chase, bucket-brigades or Toyota Sewing System (TSS). This paper reviewed these Ushaped cells operating modes attending to the literature and also using some industrial case studies from real implementations in companies working with cells. For comparing the operating modes a hands-on simulation was performed by student teams in the classroom. This method was used so that it could be possible to simulate aspects related with operators: skills, teamwork, cross-training or motivation. The operating modes were compared through some performance measures like production output, productivity, efficiency, WIP and defects. The operating modes have some similarities and dissimilarities and knowing them it is possible to select an adequate operating mode for a specific production environment. This research could

 

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