PERFORMANCE VALUE ANALYSIS FOR JUSTIFICATION OF GREEN MANUFACTURING SYSTEMS

2006 ◽  
Vol 05 (01) ◽  
pp. 59-73 ◽  
Author(s):  
KULDIP SINGH SANGWAN
Keyword(s):  
Decision Model ◽  
Manufacturing Systems ◽  
Model Performance ◽  
Green Manufacturing ◽  
Competitive Advantages ◽  
Value Analysis ◽  
Engineering Economics ◽  
The World ◽  
Intangible Benefits ◽  
Traditional Approaches

Green Manufacturing Systems (GMS) has attracted the attention of organizations all over the world. There is a general challenge offered to the field of engineering economics by the introduction of green manufacturing systems as, typically, the traditional approaches do not account for the significant intangible benefits offered by GMS. In this paper, an attempt has been made to overcome the above-mentioned deficiencies by presenting a multi attribute decision model — Performance Value Analysis (PVA) — for the justification of green manufacturing systems. The usefulness of the model is demonstrated through an illustrative example. The results clearly show that the implementation of green manufacturing systems offers far better competitive advantages over the non-green manufacturing systems.

PERFORMANCE VALUE ANALYSIS FOR THE JUSTIFICATION OF WORLD-CLASS MANUFACTURING SYSTEMS

2004 ◽  
Vol 03 (01) ◽  
pp. 85-102 ◽  
Author(s):  
RAMBABU KODALI ◽  
KULDIP SINGH SANGWAN ◽  
VIVEK K. SUNNAPWAR
Keyword(s):  
Manufacturing Systems ◽  
Value Analysis ◽  
The World ◽  
World Class ◽  
Indian Industries ◽  
World Class Manufacturing ◽  
A Performance

World-class manufacturing systems (WCMS) has attracted the attention of industries all over the world. The perceptible impact of WCMS lies in attaining the far reaching world-class standards. Attempts have been made to examine WCMS for the feasibility in Indian industries. The present work describes a performance value analysis for the justification of WCMS for Indian industries.

DAYA SAING EKSPOR KARET ALAM TIGA NEGARA ITRC (INDONESIA, THAILAND, MALAYSIA) DI PASAR INTERNASIONAL PERIODE 1994-2018

2020 ◽  
Vol 4 (1) ◽  
pp. 81-87
Author(s):  
Shinta Dwi Ardanari ◽  
Rynalto Mukiwihando
Keyword(s):  
Natural Rubber ◽  
Analytical Method ◽  
International Market ◽  
World Market ◽  
Competitive Advantages ◽  
Market Demand ◽  
Export Share ◽  
Intense Competition ◽  
Time Period ◽  
The World

ABSTRACTShare of Indonesia's export value of natural rubber in the international market is almost always below Thailand, which is one of the competiting countries. The others countries began to become a threat to Indonesia because their exports share of natural rubber showed an increasing. This indicates that there is intense competition in the international market. As a country with the largest plantation area in the world, Indonesia should be superior. But this can be an opportunity to be able to compete in the world market so it is important to be managed more deeply so that it can create competitive advantages that can increase competitiveness. This study aims to determine the position of the competitiveness of natural rubber exports for the three countries of ITRC in the international market. The analytical method used is dynamic RCA. The results showed that all products of natural rubber coded HS 400110, 400121, 400122, 400129 and 400130 were experiencing a decline in growth in the export share of the three countries of ITRC : Indonesia, Thailand and Malaysia, but the market demand conditions for these products were declining in that time period.

Optimization of the Robots Fourier Spectrum by Using the Assisted Research, Neural Network, Smart Damper and LabVIEW Instrumentation

2012 ◽  
Vol 245 ◽  
pp. 24-32 ◽  
Author(s):  
Adrian Olaru ◽  
Serban Olaru ◽  
Aurel Oprean
Keyword(s):  
Neural Network ◽  
Transfer Function ◽  
Spectral Density ◽  
Vibration Analysis ◽  
Manufacturing Systems ◽  
Fourier Spectrum ◽  
Industrial Robots ◽  
Vibration Behavior ◽  
Power Spectral ◽  
The World

The most important things in the dynamic research of industrial robots are the vibration behavior, the transfer function and the vibration power spectral density between some of the robot joints and components. In the world this research is made without the assisted research. In each of the study cases in this paper was used the proper virtual Fourier analyzer and was presented one new method of the assisted vibration analysis. With this research it is possible the optimal choosing the base modulus type to avoid the frequencies from the robot spectrum. In the manufacturing systems, the most important facts are the vibration behavior of the robot, the compatibility with some other components of the system. All the VI where achieved in the LabVIEW soft 8.2 version, from National Instruments, USA. This method and the created virtual LabVIEW instrumentation are generally and they are possible to apply in many other dynamic behavior research.

scholarly journals Towards scalable and reusable predictive models for cyber twins in manufacturing systems

2021 ◽  
Author(s):  
Cinzia Giannetti ◽  
Aniekan Essien
Keyword(s):  
Data Streams ◽  
Predictive Models ◽  
Manufacturing Systems ◽  
Model Building ◽  
Model Performance ◽  
Cyberphysical Systems ◽  
Pragmatic Approach ◽  
Analyse Data ◽  
Fully Connected ◽  
Smart Factories

AbstractSmart factories are intelligent, fully-connected and flexible systems that can continuously monitor and analyse data streams from interconnected systems to make decisions and dynamically adapt to new circumstances. The implementation of smart factories represents a leap forward compared to traditional automation. It is underpinned by the deployment of cyberphysical systems that, through the application of Artificial Intelligence, integrate predictive capabilities and foster rapid decision-making. Deep Learning (DL) is a key enabler for the development of smart factories. However, the implementation of DL in smart factories is hindered by its reliance on large amounts of data and extreme computational demand. To address this challenge, Transfer Learning (TL) has been proposed to promote the efficient training of models by enabling the reuse of previously trained models. In this paper, by means of a specific example in aluminium can manufacturing, an empirical study is presented, which demonstrates the potential of TL to achieve fast deployment of scalable and reusable predictive models for Cyber Manufacturing Systems. Through extensive experiments, the value of TL is demonstrated to achieve better generalisation and model performance, especially with limited datasets. This research provides a pragmatic approach towards predictive model building for cyber twins, paving the way towards the realisation of smart factories.

scholarly journals Effects of experimental nitrogen deposition on peatland carbon pools and fluxes: a modelling analysis

2015 ◽  
Vol 12 (1) ◽  
pp. 79-101 ◽  
Author(s):  
Y. Wu ◽  
C. Blodau ◽  
T. R. Moore ◽  
J. Bubier ◽  
S. Juutinen ◽  
...  
Keyword(s):  
Ecosystem Respiration ◽  
Model Performance ◽  
Net Ecosystem Exchange ◽  
N Fertilization ◽  
N Deposition ◽  
Competitive Advantages ◽  
Long Term Effects ◽  
N Content ◽  
Modelling Analysis

Abstract. Nitrogen (N) pollution of peatlands alters their carbon (C) balances, yet long-term effects and controls are poorly understood. We applied the model PEATBOG to explore impacts of long-term nitrogen (N) fertilization on C cycling in an ombrotrophic bog. Simulations of summer gross ecosystem production (GEP), ecosystem respiration (ER) and net ecosystem exchange (NEE) were evaluated against 8 years of observations and extrapolated for 80 years to identify potential effects of N fertilization and factors influencing model behaviour. The model successfully simulated moss decline and raised GEP, ER and NEE on fertilized plots. GEP was systematically overestimated in the model compared to the field data due to factors that can be related to differences in vegetation distribution (e.g. shrubs vs. graminoid vegetation) and to high tolerance of vascular plants to N deposition in the model. Model performance regarding the 8-year response of GEP and NEE to N input was improved by introducing an N content threshold shifting the response of photosynthetic capacity (GEPmax) to N content in shrubs and graminoids from positive to negative at high N contents. Such changes also eliminated the competitive advantages of vascular species and led to resilience of mosses in the long-term. Regardless of the large changes of C fluxes over the short-term, the simulated GEP, ER and NEE after 80 years depended on whether a graminoid- or shrub-dominated system evolved. When the peatland remained shrub–Sphagnum-dominated, it shifted to a C source after only 10 years of fertilization at 6.4 g N m−2 yr−1, whereas this was not the case when it became graminoid-dominated. The modelling results thus highlight the importance of ecosystem adaptation and reaction of plant functional types to N deposition, when predicting the future C balance of N-polluted cool temperate bogs.

scholarly journals «Peaceful Atom» – from the XXth to the XXI century: from the weapons of mass destruction to the driver of the massive progress

2012 ◽  
pp. 132-142
Author(s):  
M. V. Zharkikh
Keyword(s):  
Energy Supply ◽  
Socioeconomic Development ◽  
Atomic Energy ◽  
The Other ◽  
Weapons Of Mass Destruction ◽  
Competitive Advantages ◽  
Mass Destruction ◽  
Energy Field ◽  
The World ◽  
Main Factors

The article is dedicated to the progress-analysis of the development of one of the most promising fields of economy and industry of Russia as well as many other states of the world – the atomic energy sector. Its evolution and competitive advantages before the other sources of energy supply are attended in brief. Special attention is devoted to international cooperation in the atomic energy field, incentivized at the beginning of the XXI century. Dynamics of this cooperation has shown that atomic energy can and, most probably, in the nearest future, will become one of the main factors of an advanced socioeconomic development of most of the states.

scholarly journals COMPETITION OF TRANSNATIONAL BANKS: MAIN TRENDS AND WAYS OF DEVELOPMENT

2021 ◽  
pp. 151-157
Author(s):  
Надежда Константиновна Савельева ◽  
Татьяна Алексеевна Тимкина
Keyword(s):  
Commercial Banks ◽  
Banking Sector ◽  
Banking System ◽  
Competitive Advantages ◽  
International Banking ◽  
Statistical Research ◽  
Cross Border ◽  
The World ◽  
Financial Transactions ◽  
Level Analysis

Статья посвящена проблемам сохранения конкурентных преимуществ коммерческих банков для осуществления финансовых операций на трансграничных рынках. Целью исследования является анализ основных тенденций развития деятельности транснациональных банков в условиях глобализации. Объектом исследования являются мировые лидеры международной банковской сферы. Научная новизна заключается в разработке основных направлений развития банковской системы на международном уровне, результатах анализа опыта лидирующих транснациональных банковских компаний в условиях пандемии The article is devoted to the problems of maintaining the competitive advantages of commercial banks for the implementation of financial transactions in cross-border markets. The aim of the study is to analyze the main trends in the development of the work of transnational banks in the context of globalization. The object of research is the world leaders of the international banking sector. In the process of research, the authors have analyzed theoretical and practical material used in general methods of scientific knowledge and statistical research. Scientific novelty lies in the development of the main directions for the development of the banking system at the international level, analysis of the experience of leading transnational banking companies in the context of a pandemic.

scholarly journals The Pandemic and the Crisis in the System of International Relations

2020 ◽  
Vol 13 (5) ◽  
pp. 6-19
Author(s):  
Al. A. Gromyko
Keyword(s):  
International Relations ◽  
International Institutions ◽  
Competitive Advantages ◽  
Direct Impact ◽  
The Us ◽  
The World ◽  
World Economic ◽  
Strategic Autonomy ◽  
The Eu

The research is focused on several key problems in the system of international relations influenced by the COVID-19 pandemic. It is shown that the events caused by it and broadly identified as a coronacrisis have a direct impact on the world economic contradictions (pandenomica) and political ones, including the sphere of security. These particular aspects are chosen as the main objects of the research. The author contends that the factor of the pandemic has sharpened the competition between regional and global players and has increased the role of a nation- state. In the conditions of transregional deglobalisation, regionalism and “protectionism 2.0” get stronger under the banners of “strategic vulnerability” and “economic sovereignty”. A further weakening of multilateral international institutions continues. The EU endeavours to secure competitive advantages on the basis of relocalisation, industrial and digital policies and the Green Deal. The article highlights the deterioration in the relations among Russia, the US, the EU and China, the unfolding decoupling between Washington and its European allies, which stimulates the idea of the EU strategic autonomy. An urgent need for the deconfliction in Russia – NATO interaction is stated.

Sign in / Sign up

Export Citation Format

Share Document