A harmonized questionnaire of EU Member States from the Community Innovation Survey (CIS) carried out in the Czech Republic for the period of 2010-2012 by combining sample (stratifi ed random sampling) and exhaustive surveys was used for the data collection. The CIS is a survey of innovation activity in enterprises that is designed to provide information on the innovativeness of sectors by enterprise type, the different types of innovation, and various aspects of innovation development, e.g. objectives, sources of information, public funding, and innovation expenditures (Eurostat, 2015). The CIS questionnaire was used to examine the impacts of cooperation by many other authors (e.g. Miotti and Sachwald (2003); Belderos, Carree and Lokshin (2004); Veugelers and Cassiman (2005); Tether and Tajar (2008); De Faria, Lima and Santos (2010). In total, data on 5,151 Czech enterprises with at least 10 employees were obtained (with a response rate greater than 60%). For the purpose of this study, we fi ltered 284 enterprises, i.e. only enterprises from the machinery industry, into our data group – specifi cally, enterprises covering NACE categories 29-30.
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The deceleration in growth of production in machinery industry as well as in the entire industrial sector during 1996/97-2002/03 is attributed to: i) declines in import tariff, particularly the duty free import under EPCG scheme and allowing the import of second hand machinery coupled with credit squeeze in 1996 causing bank lending (interest) rate to rise at an unprecedented level (above 20%); ii) slowing down in the process of reforms and emergence of infrastructure bottlenecks; iii) saturation reached in the pent up domestic demand of one time nature for a host of import-intensive goods, which could be domestically produced or assembled following trade liberalization (Desai 2001; Nagaraj 2003). Indeed, there has been turnaround in the economy since 2003/04 due to the improvement in overall growth of the economy, notably in IT and IT enabled services, private housing, road construction, communications and cellular phone services and consumer durables. As a result Indian machinery and equipment industry including NEMI again achieved a quite high rate of growth, averaging over to 14 per cent during 2003/04-2007/08 (Table-8).
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a wide range of medium and high technology capital goods (EXIM Bank 2008). Ever since the initiation of economic reforms in the year 1991, the Indian Government has been making its FDI policy regime increasingly attractive, notably, allowing FDI with majority foreign equity holding in the manufacturing sector including Indian machinery industry (IMI). Of late, the Indian government has been permitting 100 per cent foreign equity participation in most of industries of manufacturing sector under automatic route (GoI 2008). India has become one of the few most attractive destinations in the world for FDI in the recent years (Global Business Policy Council 2008). By its very nature, FDI constitutes critical ‘resources and capabilities’ including financial capital, technology, marketing and managerial skills, international networks and contacts needed for achieving competitive advantage (Dunning 2000). These resources may enable a firm in enhancing its productivity and overcoming the barriers to entry into exports as well as in improving the export intensity of exporting firms. However, the empirical studies in India have primarily focused on a firm’s export intensity aspect (refer to Section- 4 of this paper).
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Kazakhstan has established an increasingly sound macroeconomic policy framework that has contributed to a stable economic environment for investment in the machinery industry and other sectors of the economy. The National Bank of Kazakhstan (NBK) has maintained a tight monetary policy since the introduction of the national currency, the tenge, in November 1993. Early in 1994, government credits to clear sizable inter-enterprise arrears led to near hyperinflation and a sharp depreciation of the tenge (see Figure 2.2). After that, the Government and the NBK tightened monetary and fiscal polices to suppress inflation. The annual inflation rate fell to around 60 percent in 1995 and the real exchange rate returned to its level prior to clearing inter-enterprise arrears. Inflation was lowered from 1,160 percent in 1994 to less than 40 percent in 1996, and inflation in 1997 has been officially estimated at 17.5 percent. The legacy of inefficient credit allocations left by the Soviet system has also given rise to a complex financial reform challenge. The National Bank of Kazakhstan has asserted much-needed control over the banking sector by establishing a bank supervision regime and by enforcing capital requirements. As a result, more than 130 insolvent banks have been closed during the past several years and those that remain are under-capitalized. To compensate for past bad loans and the time lag between inflation and interest rate adjustments, interest rate charges by the remaining banks tend to be substantially higher that the refinancing rate.
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(1) In case of using the sample consisting both domestic and foreign firms in manufacture of machinery industry - model (3), the convergence rate is 7.2 %. There are only 3 out of all variables denoting the impact of FDI to efficiency in the past 12 years being statistically significant. Sf variable denoting the effect of the presence of FDI in 2000 to the efficiency convergence model of domestic firms is positive and statistically significant. Hori variable denoting horizontal spillover effects of FDI in 2000 to the efficiency convergence model of domestic firms is also positive and statistically significant. Nevertheless, Back variable denoting reverse spillover effects of FDI in 2004 to the efficiency convergence model is negative and statistically significant. The total effect of these three variables is negative. It may be the reason why the convergence speed of this model (7.2 %) is slower than unconditional convergence model’s (1) in Table 3 (9.61 %).
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We believe that this is a case worth investigating for two reasons. Firstly, well1 developed engineering industries suppose to generate positive spillover effects on economies by facilitating the development of skilled manpower and technology absorption from abroad (e.g., Rosenberg, 1976; Mokyr, 1990, Stewart, 1982). Secondly, the metal works and engineering industries are ubiquitous in developing countries, and with few exceptions, almost all of these industries mainly produce low1 quality import1substitute imitated products for domestic buyers, entrepreneurs are mostly less educated, the major channel of learning in the industry is the apprenticeship, and the major marketing method is waiting for customers at the workshop (e.g., Iddrisu, 2006; Sonobe et al., 2011; McCormick, 1999; Altenburg and Myer1Stammer, 1999). The striking similarities across the engineering industries in developing countries provide strong indication of the general applicability of policies that the present paper intends to suggest based on the case of Bangladesh.
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Based on data, only potato grater can meet the consumer demand, whereas rice milling around 46% can meet the demand. The most commonly products used such as agricultural tractors and power thresher still shortage of 60% and 56%. Based on these data it can be concluded that alsintan industry in West Sumatra has been unable to meet all requirement the needs of existing alsintan in West Sumatera. To solve that problem, alsintan’s industry in West Sumatera must increase of the production capacity. And it means that alsintan’s industry must have wide plant. CV Citra Dragon which is one of the alsintan’s industries in West Sumatera has planned to relocate the existing plant. According to management, production capacity of the CV Citra Dragon’s Factory is located on Sungai Sarik currently has a capacity that is still relatively small at less than 2,000 units per year. The main products of this Factory are hydro tiller and power thresher with capacity production of hydro tiller is 3 units per day and power thresher is 2 units per day. Therefore, CV Citra Dragon will increase production capacity for both of these products at the factory to be built. Based on the performance indicators of CV Nugraha Chakti Consultant, CV Citra Dragon must reach the production target to meet the requirement hydro tiller and power thresher in West Sumatra is 2,000 units. In addition to produce power thresher and hydro tiller, the management must plan to design the factory that can produce agricultural machinery. CV Citra Dragon has new location for establishment of its new factory which has 70,000 m 2 areas. Trisiafitri  has conducted research studies on the feasibility of establishing an alsintan factory on this area and concluded that this area is suitable for establishment of a new factory of CV Citra Dragon.
This research is conducted mainly based on deductive approach which applies systems theory as a theoretical basis for analysing potential relationships between main elements and variables of the research topic. In this study, systems theory is expected to explain the major research question (integration challenge) as this theory is, mainly, focused on interaction between main components of the system, and considers organisations as whole and integrative entities. However, future research could focus on application of other theories to analyse the generation of knowledge out of IoT generated data. Moreover, further research can be conducted to study the application and implementation of the proposed framework in practice, and to analyse Cyber Physical integration at supply chain level, including different parties throughout the supply chain. Finally, future research can analyse Return On Investment (ROI) of advanced technological innovations in organisations that are far behand industry 4.0 operational perspective.
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While Japanese consumption (particularly intermediate use) patterns bear significant responsibility for these imbalances, so does the advanced state of the economy and its industry, and herein lies a means to redress bilateral pollution imbalances. Japan’s developing-country trading partners generally have more pollution-intensive exports and domestic production for two reasons. Firstly, their economies are at an earlier stage of development, and primary and industrial activities represent a larger share of GDP than in OECD countries. Secondly, their technology is likely to be more pollution-intensive, and external markets are simply leveraging these environmentally inferior techniques to the detriment of everyone.
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Cleaning machinery in a modern cotton gin is used to remove large trash, so the gin will operate properly and to optimize grade and value (Baker et al., 1994). The machines used in U. S. roller gins for either seed-cotton or lint cleaning are variations of some basic gin machine designs. Cylinder cleaners (Fig. 3A) have spiked cylinders that convey cotton across grid bars or screens, mainly removing fine particles and opening-up the cotton (Baker et al., 1994). They are typically inclined and have four to seven cylinders, but can be horizontal and/or employ as many as 15 cylinders. Impact clean- ers (Fig. 3B) are similar to cylinder cleaners, but have five or seven spiked cylinders with revolving serrated disks below the cylinders (Baker et al., 1994). Stick machines (Fig. 3C) are used mainly for removing burs and sticks from seed cotton by sling-off action of two or three channel saws (Baker et al., 1994). Air-type lint cleaners (Fig. 3D) clean lint by subjecting the air/lint flow to an abrupt change in direction as it passes over an ejection slot (Mangialardi et al., 1994). Mill-type lint cleaners (Fig. 3E), which clean the lint by a combination of centrifugal force and scrubbing action, employ smooth or spiked beater bars to convey lint across a series of grid bars (Mangialardi and Anthony, 2003). These lint cleaners are usually coupled to an air-type lint cleaner. Over the years, research on these seed-cotton and lint cleaning machinery for roller gins has been conducted by the USDA-ARS Southwestern Cotton Ginning Laboratory.
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The assumption of acceptor-driven kinetics, which is implicit in the equations of Section 2, breaks down under metabolic shutdown conditions, which means that under such conditions the macro-chemical model could be extended with explicit donor-controlled rate multipliers, or equivalently, as we have shown elsewhere (Nev and van den Berg, 2017a), by postulating a sliding mode for the dynamics. The model is based on n + 1 feedback loops, one between each reserve density and the allocation of molecular building blocks towards the machinery dedicated to the assimilation of that nutrient, in addition to a basic growth-control loop that is based on homeostasis of the density of synthetic (zero-type, i.e. machinery-making) machinery; the latter may be referred to as the M 0 /M G -loop. This logic is similar to that proposed by Scott and co-
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Most of machineries in tyre industry are automation machine using safety control circuits in order to prevent entering to moving part of machine and/or to prevent unexpected starting up of machine by generating stop function to hold machine in safe stage. The well-known safety rule explained about procedure of risk assessment and risk reduction is EN ISO 12100  following five-step method, i.e. (1) determination of the limits of the machinery , (2) hazard identification, (3) risk estimation, (4) risk evaluation, and (5) risk reduction. In the risk reduction process consisting of three-step method which all suitable protective measures must be followed, i.e. first step, inherently safe design measures, second step, safeguarding and/or complementary protective measures, the last step, information for uses.
In parenthesis, I don’t think this supports the argument, which Chris Arthur has in my view rightly criticised, that Marx developed the category of value, in chapters 1-5, by supposing a ‘historical- logical’ stage of capitalism characterised as ‘simple commodity production’ in which goods exchange at their value between independent producers. To the contrary, these parts of Volume I add to the evidence that Marx did not entertain the idea of a stage of ‘simple commodity production’ since he here presents historical progression as a transition, not from petty commodity production to capitalist production but between two phases of specifically capitalist production: in the early stages (formal subsumption), handicraft production by capitalists, that is, people that employ wage labour and raise productivity chiefly by transforming the way this labour is organised, and in the later stages (real subsumption) machine production also by capitalists, who raise productivity by the application of machinery and technology.
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Context: Formal methods (FM) have been around for a while, still being unclear how to leverage their benefits, overcome their challenges, and set new directions for their improvement towards a more successful transfer into practice. Objective: We study the use of formal methods in mission-critical software domains, examining industrial and academic views. Method: We perform a cross-sectional on-line survey. Results: Our results indicate an increased intent to apply FMs in industry, suggesting a positively perceived usefulness. But the results also indicate a negatively perceived ease of use. Scalability, skills, and education seem to be among the key challenges to support this intent. Conclusions: We present the largest study of this kind so far (N = 216), and our observations provide valuable insights, highlighting directions for future theoretical and empirical research of formal methods.
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This study proposes on a combine methodology that exploits the Holts- Winter (HW) model and the Support Vector Machines (SVM) model in forecasting time series. Problems of forecasting using time series data have been and still being addressed at every sphere of research using different approaches. The performance of the forecast was compared among the three models, the HW model, the SVM model and the combine model (HW and SVM). Four different data sets namely, airline passengers’ data, machinery industry production data, clothing industry data and
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Abstract: A common fault in turbomachinery is rotor–casing rub. Shaft vibration, measured with proximity probes, is the most powerful indicator of rotor-stator rub. However, in machines such as aeroderivative turbines, with increasing industrial relevance in power generation, constructive reasons prevent the use of those sensors, being only acceleration signals at selected casing locations available. This implies several shortcomings in the characterization of the machinery condition, associated with a lower information content about the machine dynamics. In this work we evaluate the performance of the Continuous Wavelet Transform to isolate the accelerometer signal features that characterize rotor–casing rub in an aeroderivative turbine. The evaluation is carried out on a novel rotor model of a rotor-flexible casing system. Due to damped transients and other short-lived features that rub induces in the signals, the Continuous Wavelet Transform proves being more effective than both Fourier and Cepstrum Analysis. This creates the chance for enabling early fault diagnosis of rub before it may cause machine shutdown or damage.
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ABSTRACT: This paper gives a novel approach regarding the study of implementation of an advanced maintenance system in an automotive industry. The contents are also focused in the inclusion of a comprehensive review of different types of faults that occur in different rotating parts of the machinery and also points out the latest trends in the condition monitoring. Step by Step approach is used for better results and understanding of the current situation of the machinery. Understanding the problem is also divided into multiple stages; this helps in a clear understanding of the actual issue and helps in the reduction of the percentage of virtual space in the problem definition. All the stake holders were involved to analyse the problem and to have a faster establishment of the counter measure Efforts have also been made to understand the reasons for the failure, by carrying out various tests on the failed specimen.
Despite some encouraging indicators and at times somewhat misleading statistical data, it is obvious that only a moderate portion of the innovative potential of enterprises in the Slovenian mechanical industry is exploited. The incontestable fact remains that the influence of innovation on the companies’ revenues and profit remains too low. A clear strategy of innovation and appropriate further activities are the crucial factors leading to an increase of this influence . The strategy should consistently support the innovation process and strongly focus on most important activities leading to the best innovation performance. Since the innovation introduced to the market is only the last of the links in the invention-innovation chain, a comprehensive and systematic approach is required. In order to asure such an approach, the “innovation of management”  in the way that it would be able to manage the innovation process effectively remains a prerequisite.
In other words, the social factory under cognitive capitalism has dispersed its dispositifs. Around the world we witness not only its consolidation in new media marketing strategies of value capture through social networks, but emergent techniques for modulating the embodied capacity to sense and affect. Indeed, the social network is parasitical on affect, as Cote and Pybus, Sylvia Federici, Michael Peters and Emma Dowling all note in this volume. Effectively, what these critics bring to attention is the real subsumption of living labour under capital—the real and practical folding in/of affective and labouring capacity is both a tendency and variable within the non-equilibrium systems of digital capitalist control. Indeed, as more and more forms of expression, labor, reproduction, care, emotion, and affect are incorporated into capitalist accumulation strategies (Dowling’s analysis of affective labor in the restaurant industry is a clear example) the precariat develops pathologies of hyper-expressivity, as Franco Berardi puts it (Berardi, 2007). Think of the exhibitionism of Facebook and Twitter, of the continual revaluation of the self through Linkedin and XING. The workings of many aspects of everyday neo-liberal life is legible in the unending modulations, audits, measures, and evaluations of populations understood as human capital (the neoliberal University is the perfect laboratory for the training of commodities training commodities), instruments and targets of digital control. The cognitive worker as the perpetual self-entrepreneur gives the lie to the creative economy. It is not autonomous creativity but competition for innovative capture and individualism for value that is the dominant mode of autonomy in our time (movingly analyzed by Dowling in her post quoted above).
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Variable means and tests for differences in organizational slack across the six industry groupings are presented in Table 1. Significant overall effects (p < .010 to p < .001) and between industry differences (p < .05) using pairwise means comparisons were found for all eight slack measures. More specifically, firms in 2-digit SIC industry groupings 36 (Electronic and Other Electrical Equipment and Components, Except Computer Equipment) and 38 (Measuring, Analyzing, and Controlling Instruments; Photographic, Medical and Optical Goods; Watches and Clocks) had very similar slack profiles with higher overall levels of all three types of slack while firms in 2-digit SIC industry grouping 20 (Food and Kindred Products) had lower overall levels of all three types of slack. Concerning similarities across industries, firms in 2-digit SIC industry groupings 28 (Chemicals and Allied Products) and 35 (Industrial and Commercial Machinery and Computer Equipment) both had moderate levels of available slack along with relatively high levels of recoverable slack; firms in 2-digit SIC industry groupings 28 and 37 (Transportation Equipment) had similar moderate levels potential slack; firms in 2-digit SIC industry groupings 35, 36, and 38 had similar lower levels of potential slack; and firms in 2-digit SIC industry groupings 20 and 37 had similar low levels of recoverable slack. In total, these results suggest important differences and similarities in organizational slack across the industries examined.