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INNOVATION IN FEED MIXING MACHINE: DESIGN FOR MANUFACTURING IN INDUSTRY

INNOVATION IN FEED MIXING MACHINE: DESIGN FOR MANUFACTURING IN INDUSTRY

2011). Innovation also originates from public research (Autant-Bernard, 2001). It is therefore possible to summarise that according to these definitions innovations do not cover only technical and technological changes and improvements, but in particular practical application and particularly originates from research. For Mixing machines are used in feed mills for the mixing of feed ingredients. The machine plays a vital role in the feed production process, with efficient mixing being key to good feed production. Feed mixing machine comprises of a frame structure, the mixing chamber (a cylinder and cone structure) where other components such as electric motor, shaft and hopper are mounted on. The mixing of feed to form a uniform ratio at a regular need for large stock poultry purposes. The mixing is performed by a vertical shaft which revolves continuously in a cylindrical cone suspended by an iron bar. The relative motion of the shaft about the frame (body) is achieved by the use of knuckle bearing. Designers make decisions on the use of resources, modes of consumption and the lifecycles of products and services. Environmentally sustainable design (also referred to as „green design‟ or „eco-design‟) aims to ensure that products, services and systems are produced and provided in a way that reduces the use of non-renewable resources and minimizes environmental impact.
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Technological transformation of manufacturing  by smart factory vision: industry 4 0

Technological transformation of manufacturing by smart factory vision: industry 4 0

The Mitsubishi Electric e-factory solution comes into play to meet these expectations and ensures that production and management departments of a factory communicate with each other from a single point without interfering with each other.The e-factory has been used by Mitsubishi Electric for a long time for effective automation in its own factories, covering everything from planning to installation, operation and maintenance. Thus, while achieving high productivity, it also helps end-users to realize machine benefits and quality (www.otomasyondergisi.com, 2017). In short, the e-F@ctory concept, which is a response of Mitsubishi Electric to Industry 4.0, is an evolutionary step that can provide very significant cost savings while increasing speed, quality and productivity. This section addresses a number of examples of Industry 4.0 applications from leading companies such as Siemens, Bosch, General Electric, Festo, and Mitsubishi, and briefly mentions Industry 4.0 applications in pilot sectors in Turkey. Industry 4.0 applications are being implemented in Turkey in four pilot sectors; white appliances, machine systems, automotive and chemicals. Table 4 presents the examples of Industry 4.0 applications according to Industry 4.0 indicators such as integrated, automated and excellent production flow, virtual product design, flexible manufacturing, smart and optimized logistics and learning processes.
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Manufacturing of Biomass Briquetting Machine

Manufacturing of Biomass Briquetting Machine

Growing energy demand in the world force people to find alternative energy sources. Unlike coal or other fossil fuels, renewable energy sources are promising for the future, which leads to less environmental pollution .Especially, biomass is effectively used as energy bio sources such as fuel for boilers and furnaces due to its high calorific value. The aim of this project is to develop a biomass Briquetting Machine. Biomass is organic matter derived from living, or recently living organisms( or such as plant leaves sugarcane wheat powder) Biomass can be used as a source of energy and it most often refers to plants or plant-based materials that are not used for food or feed, and are specifically called agricultural biomass product. As an energy source, biomass can either be used directly via combustion to produce heat, or indirectly after converting it to various forms of biofuel. Conversion of biomass to bio fuel can be done by different methods which are broadly classified into: thermal, chemical, and biochemical methods. Biomass is an important source of energy worldwide and is largely available on earth. Many other types of biomass energy can be used now which consists of trees, agricultural crops and associated residues like plant fibre, animal wastes, and organic industrial waste. Emission from burning of biomass is carbon dioxide neutral since it absorbs the same amount of carbon dioxide when growing as a plant. Converting to high density biomass increases its calorific value to high level. This high value biomass product are used in machine name as biomass briquettes machine in which with the help of binder material, this biomass product are combined together to form biomass briquette. This used for further operation in boiler plant or etc. Biomass briquette machine is also a small scale business for rural areas. Though it has large advantages in business industry also hence it found very useful in small scale industry. biomass is carbon dioxide since it absorbs the equal amount of carbon dioxide when rising as a biomass plant. Biomass are used as a solid fuel, or it can converted into liquid or gaseous forms. It can be used to produce electric power, heat, chemicals, or fuels.
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Intrusion Detection for Cyber-Physical Attacks in Cyber-Manufacturing System

Intrusion Detection for Cyber-Physical Attacks in Cyber-Manufacturing System

Cyber-Manufacturing System is a vision for future manufacturing systems. It integrates physical components with network and computational components seamlessly. An architecture of CMS consists of five layers: the Application/User Layer, the Application Interface Layer, the Global Core Service Layer, the Integrated Connection Layer, and the Physical Provider Layer (Z. Song and Moon 2016b). The first layer—Application/User Layer—includes users and consumers. The second layer—Application Interface Layer—includes support techniques as a buffer of inventory and information processing. The third layer—Core Service Layer—is the global information hub of machine resources, personnel, geographical locations, logistics, user information, etc. The fourth layer—Integrated Connection Layer—is a local analysis and self- control network center. The fifth layer—Physical Provider Layer—is the physical layer, which includes all the manufacturing resources in factory floor.
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An improvement of a cellular manufacturing system design using simulation analysis

An improvement of a cellular manufacturing system design using simulation analysis

Cell Formation (CF) problem involves grouping the parts into part families and machines into manufacturing cells, so that parts with similar processing requirements are manufactured within the same cell. Many researches have suggested methods for CF. Few of these methods; have addressed the possible existence of exceptional elements (EE) in the solution and the effect of correspondent intercellular movement, which cause lack of segregation among the cells. This paper presents a simulation-based methodology, which takes into consideration the stochastic aspect in the cellular manufacturing (CM) system, to create better cell configurations. An initial solution is developed using any of the numerous CF procedures. The objective of the proposed method which provides performances ratings and cost-effective consist in determine how best to deal with the remaining EE. It considers and compares two strategies (1) permitting intercellular transfer and (2) exceptional machine duplication. The process is demonstrated with a numerical example.
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Current problems in China’s manufacturing and countermeasures for industry 4 0

Current problems in China’s manufacturing and countermeasures for industry 4 0

It takes not overnight but a long time to transform and upgrade China’s manufacturing industry. What Chinese manufacturing sector needs to do now is to overcome the problems and gradually move towards industrial 4.0. China’s intelligent industry is a long and arduous task which needs the various participations. China’s manufac- turing sector can build the platform consist of govern- ment, industry, university, research unit, and customer to promote technological innovation in an all-round way. The industry 4.0 era will make the relationship be- tween countries and the world becoming more and more closely linked, and their inter-dependence is strengthening. Therefore, it is important to establish the manufacturing technological standards in line with the world’s standards. In industry 4.0 era, the requirement for the network is higher. So, China must build network infrastructure to meet the requirement. To achieve the industrial transformation and upgrading is a huge systematic project. So, it is necessary to set up major intel- ligent projects and carry out pilot work which can lay a good foundation for the industrial transformation and up- grading. Ultimately, all competition depends on the talent competition, so talent in manufacturing industry occupies an important position absolutely. China’ s manufacturing sector must build the Personnel-Training system to culti- vate intelligences who meet the needs of industry 4.0. Only in the above discussed way can China occupy a place in the world manufacturing industry and achieve from big manufacturing country to powerful one.
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A Study on Innovative Business Models in Automotive Manufacturing Sectors in Chennai District

A Study on Innovative Business Models in Automotive Manufacturing Sectors in Chennai District

Business model design is a key decision for a new firm entrepreneur and a crucial one. Finding innovative business models for managers charged with re-thinking an old model with new technology. This article provided briefly insights into the current innovative business models, components and the relationships with other matters. Automotive industry in Chennai introduced emerging and innovative business models located in the district area companies. Chennai is ‘Detroit of Asia’ due to the presence of major automobile manufacturing units and allied industries around the city. Heavy Vehicles Factory has been established in Avadi to produce military related vehicles with sensors. Also launched Combat Vehicle Research & Development Establishment (CVRDE) for engine testing facility. The present study focus on the Major Automotive Manufacturing companies and its new business strategies to perform in the future. The present study focuses on innovative business models adopted by various plants and sales volume forecasting up to the year 2020. And finds that the total volume may completely depends on Chennai plant of 60% only. It also covers the export volume from the Chennai plants. The study also explores the adopting technology in present automobile industries. Chennai is hub for transport in South India. The present location chooses for this study is exactly suitable for the new inventions and advanced technologies for Automobile Industry and attracts the FDI from other countries competitively. Now, government of India allocate budget for accepting innovative models adopted by some MNCs also.
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AN OVERVIEW OF VIRTUAL MANUFACTURING WITH CASE STUDIES

AN OVERVIEW OF VIRTUAL MANUFACTURING WITH CASE STUDIES

Virtual Reality is a computer-generated interactive three-dimensional environment to simulate reality. Virtual Reality can take us into an imaginary world that appears remarkably similar to our own. To design a virtual reality system, one deals with concepts of spatial relationships and computer graphics which in turn are related to math,physics, art, and also human psychology. In the virtual or synthetic environments, one must take into account the laws of physics, like gravity, air resistance, and speed. To create and render models, one has to use mathematics and graphical concepts. The efforts made to create visualization media of complex data have already been the interest of researchers for several years. Virtual Reality has practically revolutionized the way one interprets certain complex data. Virtual manufacturing can be made possible by the use of tools like VRML (Virtual Reality Modeling Language) [3]. VRML is a language by itself and is governed by a specific syntax.
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Analysis of the Influence of Local Government’s Behavior and Preference on Industrial Agglomeration Under Chinese Promotion Game

Analysis of the Influence of Local Government’s Behavior and Preference on Industrial Agglomeration Under Chinese Promotion Game

From the above literature, we can see that once the research object is determined to be China, different theories and empirical studies on the influence of government and policy on the evolution of industrial agglomeration have resulted in contradictory conclusion, the explanatory power of the mainstream new economic geography theory weakens and is unable to provide a perfect explanation for the anormaly existing in China. Li et al. (2014) [20] make a systematic literature review and suggest that the reason for this phenomenon is that the existing research has taken government behavior and policy as the "accidental" factor and "exogenous" factor in the industrial agglomeration, and neglecting the endogenous influence of government behavior and policies on the evolution of industrial agglomeration, which is not in accordance with the actual situation in China. In China, governments (especially the local governments) have a huge impact on all aspects of economic and social development. Local governments at all levels act as the institutional environment provider in the development of local industry, and their behavior and preference have a significant impact on the development of local industry. In view of this, this paper tries to provide an interpretation framework for industrial agglomeration from the perspective of local government behavior and preference, in order to enrich the existing theoretical system of industrial agglomeration interpretation and provide a new perspective for the explanation of the causes of industrial agglomeration in China.
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In the manufacturing industry, average R&D investments gradually increase from low to high technology sectors. This fact is even more apparent in terms of R&D performance. In the services, the difference between the less and high knowledge intensive sectors (5 and 8) is higher in terms of R&D performing. In the export performance, the medium high technology (MHT) sector has a slight advantage over the others. Due to the structure of the services sector, the exporters are lower when compared to manufacturing sectors although their average export is really high. The average R&D investments in KIFS and KIHTS are almost as high as the MHT and HT sectors. Both high technology sectors in manufacturing and services are the highest R&D performers. The highest average R&D investment is in KIFS. It is followed by the two high technology industries, HT and KIHTS.
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Cross Validation of production and consumption data of fruits and vegetables

Cross Validation of production and consumption data of fruits and vegetables

Raw material consumed for processing of fruits and vegetables products in hotel and restaurant industry: To calculate the household consumption of fruits and vegetables in the hotel and restaurant industry, the household consumer surveys data on cooked meals, other processed foods, pickles, salted refreshments, fruits, juices and shakes, cold beverages, etc, is used. The data for most of these items are available both in quantity and value terms but units are not always in weights. 7 For example, the unit for cooked meals is the number of meals taken, etc. A rough approximation of per unit market price and per meal weight, etc, are used to sort out such problems to arrive at their quantity figures. The other problem in the case of cooked meals is that it not only includes processed fruits and vegetables but also cereals, pulses, meat products, etc. The share of veg- etables in value terms is taken at 50 per cent of the total cooked meals based on discussion with key persons in a few restaurant units. To arrive at the share fruits and vegetables in pickles, a 70:30 ratio is used respectively. The quantum of various processed items thus obtained is added into the net exports of processed items.
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The novel application of optimization and charge blended energy management control for component downsizing within a plug in hybrid electric vehicle

The novel application of optimization and charge blended energy management control for component downsizing within a plug in hybrid electric vehicle

Abstract: The adoption of Plug-in Hybrid Electric Vehicles (PHEVs) is widely seen as an interim solution for the decarbonization of the transport sector. Within a PHEV, determining the required energy storage capacity of the battery remains one of the primary concerns for vehicle manufacturers and system integrators. This fact is particularly pertinent since the battery constitutes the largest contributor to vehicle mass. Furthermore, the financial cost associated with the procurement, design and integration of battery systems is often cited as one of the main barriers to vehicle commercialization. The ability to integrate the optimization of the energy management control system with the sizing of key PHEV powertrain components presents a significant area of research. Contained within this paper is an optimization study in which a charge blended strategy is used to facilitate the downsizing of the electrical machine, the internal combustion engine and the high voltage battery. An improved Equivalent Consumption Method has been used to manage the optimal power split within the powertrain as the PHEV traverses a range of different drivecycles. For a target CO 2 value and drivecycle, results show that this approach can
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Manufacturing Industry Trends in Lithuania

Manufacturing Industry Trends in Lithuania

Considering the depleted labour resources, the only option to develop production is to improve labour pro- ductivity. So far, the pace of productivity improvement was unimpressive and even slowed down in the last two years: in 2003 and 2004, it grew (at constant prices of 2000) 8.9% and 7.7% respectively and the growth pace decelerated to 5.7% in 2005. At first glance, the underly- ing reason is a relative decline in tangible investment flows to the manufacturing industry. In 2000–2003, the ratio with the value added was 17.3% on average and dropped down to only 14% in 2004–2005. However, these statistics do not fully reflect the modernization process in companies since leasing of capital goods has been growing strongly in the last two years. A slowdown in the growth of productivity could be explained by ini- tially low level of production costs and productivity, thus the companies were able to expand their production sig- nificantly by acquiring cheap second-hand equipment, while the current technological level of the Lithuanian industry is much higher and further improvement of pro- ductivity requires significantly larger financial input. Will it be easy to develop production of goods in Lithuania when the gap to the European standards will be bridged? It has to be said that the Eurostat data indicate a several times lower level of labour productivity in Lithuanian manufacturing industry compared with the EU average.
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FDI and manufacturing industry in Asia

FDI and manufacturing industry in Asia

The rapid development of ASEAN economies, led to the development of emerging markets in Asia. Singapore's prosperity and progress, life has reached the level of developed countries, economic services, finance, science and technology industry, shipping industry, logistics industry and tourism industry. Indonesia, on a basis of economic development Malaysia and Thailand, in the industrial economy, manufacturing industry, tourism and agriculture, in recent years, the positive development of the shipping industry and logistics industry. Philippines’ economy is relatively less developed, with an =economic focus of tourism industry, manufacturing base, agricultural and fishery. Burma, Kampuchea, Laos and East Timor's economic backwardness, Burma, Kampuchea and Laos economy only agriculture and tourism. East Timor’s economy is only fishing and oil exports. Although the per capita GDP of Brunei is higher than developing countries, but the overall economic strength is poor and underdeveloped, mainly in oil exports and Natural gas exports, wealth and Middle East oil producing countries that are concentrated in a small number of wealthy-class individuals.
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Implementation of 5S in the Manufacturing Industry

Implementation of 5S in the Manufacturing Industry

5S is originated from japan. 5S is a part of kaizen. 5s is an effective technique of leans manufacturing.5s gets its name because of 5 activities, namely seiri, seiton, seiso, seiketsu, and shitsuke. It means to sort, set in order, shine, standardize and sustain. Sort means Determine necessary and unnecessary material. Set in order means keeping the material according to the need. Shine improves the worker attitude regarding his work which helps in increasing productivity. Standardize is a method of simplification The main aim of this paper is to implement the 5S methodology in Toolex Engineers Pvt. Ltd. Situated at C-9 Gokul shirgaon, Kolhapur, 416234.Before implementation of 5S at Toolex Engineers Pvt. Ltd. We visited Aditech Industries situated at Uchgaon, Kolhapur. As the reference. The Aditech industries had implemented 5S technique from last 5 years. We recorded all the data from the industries and finally concluded that 5S technique is processing in which all the management level of the company should be effectively involved that is from top- level management up to the bottom level management. 5S is a continuous process which should be implemented form first day and should be carried out forever. Every employee of an organization should be involved in 5S.
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Improvement Techniques in Manufacturing Industry

Improvement Techniques in Manufacturing Industry

The brake shoe manufacturing process at brakes & automotive industries is a 14 step process. The web & rim are manufactured from sheet metal and the raw material is shipped to the plant. This raw material is washed to remove any impurities. The web and rim are passed on to the welding station where both the washed raw material are spot welded. Post welding, the welded shoe is allowed to cool down and then moved to the date coding station, where the date coding process takes place.

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Ceramic Manufacturing Industry

Ceramic Manufacturing Industry

and output flows in the manufacture of vitrified clay pipes ......................................... 49 Figure 2.16: Schematic view of the manufacture of basic bricks containing chromium ore...................... 50 Figure 2.17: Input and output flows in the manufacture of refractory products......................................... 54 Figure 2.18: Schematic view of the manufacture of expanded clay aggregates......................................... 55 Figure 2.19: Input and output flows in the manufacture of expanded clay aggregates .............................. 59 Figure 2.20: Schematic view of wall and floor tile manufacturing ............................................................ 60 Figure 2.21: Input and output flows in the manufacture of wall and floor tiles ......................................... 63 Figure 2.22: Schematic view of the manufacture of table porcelain .......................................................... 64 Figure 2.23: Input and output flows in the manufacture of household ceramics........................................ 70 Figure 2.24: Schematic view of the manufacture of sanitaryware ............................................................. 71 Figure 2.25: Input and output flows in the manufacture of sanitaryware................................................... 74 Figure 2.26: Schematic view of an electrical insulator manufacturing process ......................................... 76 Figure 2.27: Schematic view of a ceramic catalyst manufacturing process ............................................... 77 Figure 2.28: Green, white and hard machining in the manufacture of technical ceramics......................... 81 Figure 2.29: Input and output flows in the manufacture of technical ceramics.......................................... 84 Figure 2.30: Input and output flows in the manufacture of inorganic bonded abrasives............................ 87 Figure 3.1: Distribution of released fluoride in the Italian brick and roof tile industry.............................. 97 Figure 3.2: Distribution of released chloride in the Italian brick and roof tile industry ............................. 97 Figure 3.3: SO X emissions in Germany, United Kingdom and Belgium.................................................... 98
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Productiviti Improvement In Manufacturing Industry

Productiviti Improvement In Manufacturing Industry

Meanwhile, productivity improvement well defined if we relate it with activity that performed by cross-functional project team such as production of engineers, maintenance personnel and also operators. On the other hands, productivity improvement also means a basic measure of performance for economies, industries, firms and processes. It is difficult in determining the problem in increasing productivity of manufacturing. If they conduct properly how they manage their management, by applying all the tools and techniques in company, it will enhance their productivity as well.
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Knowledge Management In Manufacturing Industry

Knowledge Management In Manufacturing Industry

This project is intended about the implementation and practices of knowledge management in industry. Knowledge Management is getting the right information to the right people at the right time, and helping people create knowledge and share and act upon information. This project starts from the system level to the functional level and their arrangement organization.

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LIFO Distortions in the Manufacturing Industry

LIFO Distortions in the Manufacturing Industry

Internal Revenue Code section 472 allows a company to use the LIFO for tax purposes if it also uses LIFO for financial reporting purposes (the “conformity rule”). The Obama administration’s budget proposals (2010, 2011, and 2012) will require US publicly traded companies that currently use LIFO to change their inventory accounting method to first-in-first-out (FIFO) or average-cost as permitted under IFRS. The repeal of LIFO will cause these companies which previously use LIFO inventory valuation method to shift to FIFO and will hence significantly increase their tax liabilities. The hardest hit industries by the repeal of LIFO documented by numerous studies are the oil and manufacturing industries (e.g. Leone 2010). Much research has been conducted on the LIFO and oil industry (e.g. Li & Sun 2014, Lirely et. al 2010 and Lirely et al. 2010). There is inadequate research on the impact of LIFO on the manufacturing industry.
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