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  • Some Small Parts and Product Shows of Cinderella Industry
    Cinderella Industry is professional CNC/Precision Machining manufacturer specializes in various turning parts with difficult metals, tough tolerances and challenging geometries . You can let us know your idea to develop unique design for your own model. Competitively price& high quality Quickly response within 24 hours Customized design& Intellectual property protection 100% QC inspection to prevents the shipment of defective parts Delivery in time We will do our best to provide top notch quality products and services to the customer.

    2018 08/02

  • SCO creates platform for China's companies to expand overseas
    Economic and trade cooperation with member countries of the Shanghai Cooperation Organization has become a major part of Qingdao's opening-up efforts. Located in eastern Shandong province, Qingdao is a major port city that boasts convenient transportation for its international trade business. There are 65 major shipping routes from Qingdao Port to regions including Southeast Asia, Europe and the Mediterranean, playing an important role in trade cooperation between the city and the world. Over the past three years, Qingdao has signed port cooperation agreements with cities including St Petersburg in Russia and Gwadar in Pakistan, to facilitate its trade links with SCO members. In the first quarter of this year, Qingdao's total imports from SCO member countries reached 4.55 billion yuan ($711.9 million), up 49.5 percent year-on-year, according to the Qingdao customs house. Official statistics show that by the end of 2017, Qingdao's enterprises had inked 284 mutual investment projects with companies from SCO members. Of these, Qingdao's companies set up 122 projects in SCO member countries, and 162 projects funded by companies from SCO members were established in Qingdao. Intergovernmental cooperation has continued to flourish between the two sides in recent years. In 2015, the Qingdao city government and the Business Council of the SCO signed an agreement establishing the Eurasian Economic and Trade Industrial Park, aimed at guiding Qingdao's companies to launch investment cooperation with SCO members and countries involved in the Belt and Road Initiative. The agreement has led to projects with total investment of $1.5 billion in 13 countries to date. In April, Qingdao and Moscow announced their intention to build economic cooperation zones in both the Qingdao West Coast New Area and the central area of Moscow. In addition, events such as the first SCO film festival and the SCO import exhibition will be held in Qingdao this year. SCO member countries have reached a consensus to deepen cooperation by facilitating regional trade and connectivity, which will give new opportunities to Qingdao, said Liu Shuguang, a professor at the Ocean University of China. "Qingdao should take significant responsibility for mutually beneficial development among SCO members," he said.

    2018 07/05

  • Lower steel price weighs upon Custom Fabrication Factory Q1 profit
    Steel price per ton dropped by about 1,000 yuan in late March compared with late last December, according to the China Iron and Steel Association (CISA). Steel price edged up in April but is still below 4,000 yuan per ton, which means the sector's profit will shrink year-on-year if the price continues to remain sluggish.

    2018 05/18

  • China very important for global industrial production: Hanover Fair chairman
    HANOVER, Germany - China is very important for the global industrial production, according to the chairman of the Hanover Fair 2018, the world's leading industrial trade show, which runs from Monday to Friday. "We are so happy to have such a great attendance from China. We have big brands like Huawei, Haier... After Germany, most exhibitors come from China. It is good for the show," Jochen Koeckler, chairman of Managing Board of Deutsche Messe responsible for the trade fair, said in an interview with Xinhua during the fair. Koeckler said that some Chinese big brands, providing interesting technologies for the world, are very good and competitive. "We are happy to see these competitions as organizer. Without competition, there is no innovation, no technical progress," he added. Referring to trade tariffs, Koeckler told Xinhua that tariffs will in a short term protect their own economy, but in a long period make those countries less innovative. "We are convinced that we do not need tariffs. We need a global exchange of goods that is very good for the global economic growth," he said. According to Koeckler, the message of this year's fair is human-centric. There are many assistant systems, as well as many cooperative robots. "The next level of industry 4.0 means that we have the real connection between the human being and the machines, so the factory will not be without human beings, but will be with a lot of workers, and the workers will be assisted by a lot of machines," Koeckler said. More than 5,000 exhibitors from 75 different nations and regions are presenting technologies for tomorrow's factories and energy systems from April 23 to 27. Some 60 percent of these exhibitors come from outside Germany. The top exhibiting nations after Germany are China, and Mexico, the official partner country of this year's fair.

    2018 04/18

  • Your CNC Part /Machining Part/ Fasteners/Hardware Tools Provider
    Find your CNC/High Precision Machining Parts/Non-standard Fasteners/Hardware Tools Solution here in Cinderella Industry! Get fast quotation in 24hours online just email Helen.w@cndbst.com.

    2018 03/22

  • Holiday Notice for China Luna New Year
    Thank you all for giving our company full support in 2017. The Spring Festival of 2018 is approaching, all the staff of Cinderella Company wish you a happy Spring Festival and good luck in the new year! Our holiday scheduled as below for your reference: • 6th,Feb: Production department paused after all the orders finished • 8th,Feb: Warehouse closed after inventory checked. • 14th,Feb: Technical & QC departments closed • 16th,Feb: Head Office Closed • 26th,Feb: Holiday finished and all the staff back to work. Any requirment please contact: Helen.w@cndbst.com Phone:(0086)13698683170 Helen Wong (Manager) Your understanding will be highly appreciated if our holiday brings you any inconveniences. Thank you. Cinderella Industry Qingdao Office 2018/1/31

    2018 01/31

  • Global Manufacturing in 2018: Top 10 Predictions
    Cloud, mobile, big data and analytics, and internet of things (IoT),robotics, cognitive computing/artificial intelligence (AI), 3D printing, augmented reality/virtual reality (AR/VR), and blockchain. Prediction 1: By 2020, 60% of the top manufacturers will rely on digital platforms that enhance their investments in ecosystems and experiences and support as much as 30% of their overall revenue. Manufacturers are looking to digital platforms as the underpinnings for collaboration and coordination processes, bringing together the essential technology components for the benefit of cloud-based ecosystems - including employees, customers, suppliers, and partners. Igital platforms allow manufacturers to more seamlessly and quickly apply new capabilities, leveraging technology for "experiences" and supporting revenue generation activities within an ecosystem. Prediction 2: By 2021, 20% of the top manufacturers will depend on a secure backbone of embedded intelligence, using IoT, blockchain, and cognitive, to automate large-scale processes and speed execution times by up to 25%. Most manufacturers will look for their major enterprise applications to be the means through which they automate and speed execution, using embedded intelligence. For many, this will happen through intelligent ERP systems, which integrate IoT for critical data input, cognitive to enhance the analytics, and blockchain to maintain the integrity of the data and decision making.These intelligent applications incorporate the four pillars of the 3rd Platform and increasingly embed and leverage the innovation accelerators - IoT, cognitive computing, next-generation security, 3D printing, robotics, and even AR/VR. Prediction 3: By 2020, 75% of all manufacturers will participate in industry clouds, although only one-third of those manufacturers will be monetizing their data contributions. Manufacturers are looking to industry clouds for sourcing and supplier management as well as working with customers. The cloud provides the mechanism for not only data sharing, analysis, and collaboration or joint ventures but also integration with even more data sources, such as environmental conditions (weather or traffic) or customer demand signals.In the most advanced stages, companies will also monetize the data through the clouds, for example, using aggregated performance data to create more automated replenishment of inventory or spare parts. Prediction 4: By 2019, the need to integrate operational technology and information technology as a result of IoT will have led to more than 30% of all IT and OT technical staff having direct project experience in both fields. The report shows that operational equipment has become widely instrumented, and increasingly interconnected, with IoT being a major contributor to connectivity. To leverage that connectivity, manufacturers are finding that the approach requires collaboration between information technology and operational technology and their respective organizations. OT includes the hardware and software that monitors and manages operational assets and processes on the plant floor and in the supply chain, for example, supervisory control and data acquisition (SCADA), meters, valves, sensors, and data historians. The fundamental ability to understand the business process, as well as work with the data that process generates, is leading to changes in how IT and OT work together on projects. Manufacturers will also look for new talent in both organizations to have a broader perspective that connects technology with business outcomes and requirements. Employees will increasingly take part in training programs that prepare them for the shift in roles. Prediction 5: By 2019, 50% of manufacturers will be collaborating directly with customers and consumers regarding new and improved product designs through cloud-based crowdsourcing, virtual reality, and product virtualization, realizing up to a 25% improvement in product success rates. Improving product innovation success rate (31%), better sensing and responding to customer needs (27%), and developing product-related services (30%) are all focus areas for manufacturers. And 39% of manufacturers are looking to apply analytics for improved ideation and innovation management - all indicators that the innovation management process (ideation, costing, product/formula modeling, and product portfolio management) needs to mature and extend beyond a small workgroup of marketing and design to include the extended internal, and external, team. This "team" should include tier 1 suppliers, partners, and at minimum a core group of strategic customers. Prediction 6: In 2020, augmented reality and mobile devices will drive the transition to the gig economy in the service industry, with "experts for hire" replacing 20% of dedicated customer and field service workers, starting with consumer durables and electronics. The gig economy has been defined to include part-time, temporary, and freelance jobs.Gig economy technology platforms have proliferated, including several that are geared specifically toward managing services, like HelloTech, which provides services for computer electronics, including computer repair, smart homes, networking, and internet.The increase of "experts for hire" in manufacturing service–related roles as customer demands for faster service intersect with digitally enabled service platforms. Now, customer service representatives have flexibility of both location and schedule (e.g., working from home Sunday evenings), and skilled field service workers can respond to more opportunities in the market, servicing an entire category of product (printers) rather than a specific brand.The benefits to manufacturers include cost savings through a variable workforce that can be more closely tied to customer demand, access to skilled experts who would not be traditional hires. Prediction 7: By the end of 2020, one-third of all manufacturing supply chains will be using analytics-driven cognitive capabilities, thus increasing cost efficiency by 10% and service performance by 5%. The Data from logistics operational systems, warehouse management systems, shipping manifests from OEMs, dealer management systems, and point-of-sale (POS) devices are collected then aid in creating supply chain models in the form of environmental, seasonal, and economic factors by creating cognitive models that can predict the inventory and logistics requirements with a high degree of accuracy.The concept of a cognitive supply chain also allows organizations to proactively manage inventory by moving it closer to customer demand, which ultimately can reduce the overall cost of supply chain operations and increase the service levels. Prediction 8: By 2020, 80% of supply chain interactions will happen across cloud-based commerce networks, dramatically improving participants' resiliency and reducing the impact of supply disruptions by up to one-third. Today, business networks are the essential enablers of digital transformation.Of the manufacturers that are participating in cloud-based commerce networks, 54% say they have seen tangible cost savings, and 44% indicate the networks allow easier access to suppliers and other types of providers. As such, companies are restructuring their supply chains to allow them to be quickly reconfigured depending on the order volumes and geographic source of demand. The best supply chains will be those that have the ability to quickly analyze large amounts of disparate data and disseminate business insights to decision makers in real time or close to real time. Therefore, open and flexible cloud architectures will be an essential tool as they enable data generation from any source (both internal and external to the manufacturer), comprehensive and fast analysis, and then ubiquitous consumption (initially with on-premise access as significant but declining over time). Prediction 9: By 2020, 25% of manufacturers in select subsectors will have balanced production with demand cadence and achieved greater customization through intelligent and flexible assets. Manufacturers are now ready to launch digitally executed processes, thanks to the advancement in tools and machine technology. We see today the market availability of assets that are intelligent (i.e., able to take AI-powered decisions) and flexible (i.e., that can perform variable tasks without the need of human intervention, such as intelligent co-robots, 3D printers, and machines with retooling capabilities). Different sectors will probably leverage technologies in different ways. In the fashion industry, we see already the availability of ready-made personalized clothing. Asset-intensive industries will probably able to reap the economic benefits of adapting production to demand requests and energy prices. In the engineering-oriented sectors, companies will establish autonomous end-to-end processes to deliver individualized and custom-based components and products. In the pharma industry, opportunities are around the delivery of mass-produced individualized drugs and treatment. Prediction 10: By 2019, 15% of manufacturers that manage data-intensive production and supply chain processes will be leveraging cloud-based execution models that depend on edge analytics to enable real-time visibility and augment operational flexibility. Factory execution processes have not yet been much impacted by cloud as much as other business domains, such as the supply chain. However, this is changing. The widespread availability of a reliable cloud infrastructure is making cloud a tool in the hand of process leaders. The opportunity of converting raw data from the machine level into enterprise-grade information can transform and elevate the role of shop floors in manufacturing organizations and make them central in the fulfillment process. To fulfill this promise, companies need to aggregate data from multiple sources and provide the right information, at the right time.

    2018 01/18

  • Manufacturing's Future in world Economy
    The global manufacturing sector has undergone a tumultuous decade whose sector has changed-bringing both opportunities and challenges. A severe recession choked off demand, and manufacturing employment fell at an accelerated rate in advanced economies. Still, manufacturing remains critically important to both the developing and the advanced world. In the former, it continues to provide a pathway from subsistence agriculture to rising incomes and living standards. In the latter, it remains a vital source of innovation and competitiveness, making outsized contributions to research and development, exports, and productivity growth. A major report from the McKinsey Global Institute, presents a clear view of how manufacturing contributes to the global economy today and how it will probably evolve over the coming decade. Our findings include the following points: Manufacturing's role is changing. The way it contributes to the economy shifts as nations mature: in today's advanced economies, manufacturing promotes innovation, productivity, and trade more than growth and employment. In these countries, manufacturing also has begun to consume more services and to rely more heavily on them to operate. Manufacturing is not monolithic. It is a diverse sector with five distinct groups of industries, each with specific drivers of success. Manufacturing is entering a dynamic new phase. As a new global consuming class emerges in developing nations, and innovations spark additional demand, global manufacturers will have substantial new opportunities-but in a much more uncertain environment. Manufacturing's role is changing Globally, manufacturing continues to grow. It now accounts for approximately 16 percent of global GDP and 14 percent of employment. But the manufacturing sector's relative size in an economy varies with its stage of development. We find that when economies industrialize, manufacturing employment and output both rise rapidly, but once manufacturing's share of GDP peaks-at 20 to 35 percent of GDP-it falls in an inverted U pattern, along with its share of employment. The reason is that as wages rise, consumers have more money to spend on services, and that sector's growth accelerates, making it more important than manufacturing as a source of growth and employment. The sector is also evolving in ways that make the traditional view-that manufacturing and services are completely separate and fundamentally different sectors-outdated. Service inputs (everything from logistics to advertising) make up an increasing amount of manufacturing activity. In the United States, every dollar of manufacturing output requires 19 cents of services. And in some manufacturing industries, more than half of all employees work in service roles, such as R&D engineers and office-support staff. As advanced economies recover from the Great Recession, hiring in manufacturing may accelerate, and some nations may even raise net exports. Manufacturers will continue to hire workers, both in production and nonproduction roles (such as design and after-sales service). But in the long run, manufacturing's share of employment will remain under pressure as a result of ongoing productivity improvements, faster growth in services, and the force of global competition, which pushes advanced economies to specialize in activities requiring more skill (Exhibit 1). Manufacturing is not monolithic No two manufacturing industries are exactly alike; some are more labor- or more knowledge-intensive. Some rely heavily on transportation, while for others, proximity to customers is the critical issue. We have identified five broad manufacturing segments and analyzed how different production factors influence where they build factories, carry out R&D, and go to market. The largest segment by output (gross value added) includes industries such as autos, chemicals, and pharmaceuticals. These industries depend heavily on global innovation for local markets-they are highly R&D intensive-and also require close proximity to markets. The second-largest segment is regional processing, which includes industries such as printing and food and beverages. The smallest segment, with just 7 percent of global manufacturing value-added, produces labor-intensive tradables (Exhibit 2). Manufacturing is entering a dynamic new phase By 2025, a new global consuming class will have emerged, and the majority of consumption will take place in developing economies. This will create rich new market opportunities. Meanwhile, in established markets, demand is fragmenting as customers ask for greater variation and more types of after-sales service. A rich pipeline of innovations in materials and processes-from nanomaterials to 3-D printing to advanced robotics-also promises to create fresh demand and drive further productivity gains across manufacturing industries and geographies. These opportunities arise in an extremely challenging environment. In some low-cost labor markets, wage rates are rising rapidly. Volatile resource prices, a looming shortage of highly skilled talent, and heightened supply-chain and regulatory risks create an environment that is far more uncertain than it was before the Great Recession. Manufacturers and policy makers need new approaches and capabilities Companies must develop a highly detailed understanding of specific emerging markets, as well as the needs of their existing customers. They will also require agile approaches to the development of strategy-using scenario planning rather than point forecasts, for example. And they will have to make big bets on long-range opportunities, such as tapping new markets in developing economies or switching to new materials, but must do so in ways that minimize risk. A critical challenge for manufacturers will be to approach footprint decisions in a more nuanced way. Labor-intensive industries will almost always follow the path of low wages, but others, with more complex needs, must weigh factors such as access to low-cost transportation, to consumer insights, or to skilled employees. The result could very well be a new kind of global manufacturing company-a networked enterprise that uses "big data" and analytics to respond quickly and decisively to changing conditions and can also pursue long-term opportunities. For policy makers, supporting manufacturing industries and competing globally means that policy must be grounded in a comprehensive understanding of the diverse industry segments in a national or regional economy, as well as the wider trends affecting them. For example, shapers of energy policy need to consider which segments will be affected by higher or lower energy costs, how great the impact is likely to be, and what magnitude of difference will trigger a location decision. Policy makers should also recognize that their long-term goals for growth, innovation, and exports are best served by supporting critical enablers for manufacturers (such as investing in modern infrastructure) and by helping them forge the connections they will need to access rapidly growing emerging markets. Two key priorities for both governments and businesses are education and the development of skills. Companies have to build their R&D capabilities, as well as expertise in data analytics and product design. They will need qualified, computer-savvy factory workers and agile managers for complex global supply chains. In addition to supporting ongoing efforts to improve public education-particularly the teaching of math and analytical skills-policy makers must work with industry and educational institutions to ensure that skills learned in school fit the needs of employers.

    2018 01/23

  • Machine Aesthetics-The beauty on the tip of a knife
    Why did you fall in love with CNC machining? ----Cinderella I&T 2018/1/12 Why did you fall in love with CNC machining? The questions will admit of very different answers. Machines can be strictly cold and hard,while people makes them alive. With eyes, hands and minds as skilled and precise as Olympic archers, machinists were responsible for bringing into existence the parts that made up almost everything. " If God didn`t make it, a machinist did." Machinists of Cinderella Corp. believe it. There is a certain machine aesthetic that goes to a really good looking piece of work. So we've collected pictures of what considered to be particularly noteworthy. 1.A CNC'd yo-yo 2.A Leaf 3.How about the Chess? 4.It's snowing outside 5.Metal trefoil sculpture 6.Turner's Cube 7.Knife 8.Rocket Launch 9.How about a CNC Skull? 10.Darth Vader helmet .Join the Dark Side of the Force! . With the advancements in technology in future, CNC Machining will bring us more surprise. I believe it. (All images come from the Internet.)

    2018 01/12

  • CNC Machining Processing Standard
    CNC Machining Processing Standard --Cinderell I&T Master Office As an operation of CNC machine parts production and processing manufacturer, each of employees must know about the CNC machining items below, it can make us more clearly and understand our own machine, also can avoid detours.This standard is supervised by the head of production safety department from 2018/1/1. 1. CNC machining general operation steps (1) writing or programming processing before processing program first compiled workpiece, if the workpiece machining program is long and complicated, it is best not to programming on the machine tool, and using the programming machine or computer programming, which can avoid the machine occupied, for the short program should be written in a single program. It's best to try it out after editing, so as to avoid unnecessary waste due to formal processing. (2) boot is generally the first boot bed open system, some design two are interlocked, machine tools can not be displayed on the CRT information. In addition, it is easy to come up with a problem, that is, the program is written before running, so there may be potential danger. It's like a car hanging up gears and firing, so it's dangerous. (3) the return reference point for the incremental control system (using incremental position detection element) of the machine tool, must first perform this step, in order to establish the machine tool coordinates of the mobile benchmark. (4) transfer processing program storage medium according to the program (tape, disk), can use paper tape reader, cassette machine, machine serial communication programming or input, if simple procedures can be used directly in the CNC control panel on the keyboard input, if the program is very simple and only processing a necessary procedure, not saved the. MDI can be used to segment and segment the segments by stages. In addition, the workpiece origin, cutter parameters, offset and various compensation quantities used in the program must also be lost before processing. Of course, the average person would not be able to process only one piece of work. (5) if the procedure of editing and transferring of the program needs to be modified, the editing operation should be done. In the middle of this machine must be provisional, at this time, the mode switch is placed in the edit position, using the edit key to add, delete, change. As for editing methods, the corresponding instructions are visible. (6) lock the machine, run the program, this step is to check the program, if there is a mistake, you need to re edit. (7) on the workpiece, the alignment tool adopts manual incremental movement, continuous movement or the use of hand wheel moving machine. Start the tool point to the beginning of the program and benchmark the good tool. (8) starting coordinate feed for continuous machining is usually processed by memory program. This method has lower processing failure rate than on tape. Feed rate can be adjusted by feed rate switch in machining. In the process, the button can be pressed according to the feed, the movement of the feed is stopped, the processing condition is observed or the manual measurement is carried out. Then press the cycle start button, you can resume processing. To ensure that the program is correct, it should be rechecked before processing. In milling, for the plane curve workpiece, can use the pencil instead of the tool on the paper outline, this is more intuitive. If the system has the function of tool path simulation, it can be used to check the correctness of the program. (9) the operation displays the position, program and the state of the machine tool by using the pictures of the CRT, so that the operator can monitor the processing. (10) the program output processing after the program has saved if necessary, can stay in the memory of CNC, if the program is too long, can put the memory in the program output to the external device (e.g., punch) in the punched tape (disk or tape, etc.) to be saved. (11) shutdown should generally shut down the system and then shut down the system. 2. CNC machining operations in the process of attention (1) before each start, check whether the lubricating oil in the lubricating oil pump behind the milling machine is sufficient, whether the air compressor is opened, whether the mechanical oil used in the cutting fluid is enough or not. (2) boot, first open the power, and then press the button to open the CNC power supply, the emergency stop button clockwise, etc. all functions after milling machine detection (the operation panel on a row of red indicator light is off, press the button to make the machine), milling machine reset, on standby. (3) in manual operation, we must always pay attention to, in the X, Y direction before moving, you must make the Z axis in the knife position. In the process of moving, we must not only look at the coordinates of the CRT screen changes, but to observe the movement of the tool, and other tools move in place, and then look at the CRT screen fine-tuning. (4) in the process of programming, for beginners, as little as possible G00 instructions, especially in X, Y, Z three axis linkage, should pay more attention to. In the air knife, the movement of the Z axis should be separated from the movement of the X and Y axes, that is, more lifting tools and fewer inclined inserts. Sometimes the tool is damaged because the tool will touch the workpiece when it is inserted obliquely. (5) in the use of computer serial communication, we must do: first open the milling machine, after opening the computer; first turn off the computer, after the milling machine. Avoid milling machine in the process of switching, due to the instantaneous changes in the current and impact on the computer. (6) in the use of DNC (computer and milling machine between the procedures for conveying) function, should pay attention to the memory capacity of the milling machine, generally from computer to milling machine transmission program total bytes should be less than 23kB. If the program is relatively long, it must use the method by computer while transmitting and processing, but the program, no more than N9999. If the program of more than 10 thousand, can use the MASTERCAM program editing function, to cancel the program. (7) when the alarm appears in milling machine, the reason should be found according to the alarm number

    2017 12/07

  • Standard Packing Process
    Modes of Packing 1).Inner Package: Plastic Bag/Foam Plastic Bag 2).Outer Packing: Cartoon Box/Pallet (according to your requirement&practical situation) 3).Outer Packing Option

    2017 12/07

  • Who determines the marketability of a machine tool?
    Many studies on the theory of construction of machine tools, performed either at universities or in production companies, deal with specific technical parameters of the designed machine tools and try to assessthe direction of further development. Those involved can erroneously assume that this is the main attribute of the marketability of a machine tool. Who determines the marketability of machine tools ? The designers of companies or development departments or perhaps makteting departments? Who determines the marketability of a machine tool? The answer is unambiguous. The customer and his requirement for what is necessary for him. He is the one for whom the machine tool supplied in future has a value – so-called customer value. of For marketing departments it is an art to find and predict the future customer value. Development institutes, universities and centres of competence (further -cooperating institutes) can purposefully complete manufacturing companies from the field of machine tools in a way, which would make the predicted customer value fully acceptable to the customer. Cooperating institutes, however, can never be those who will assess the orientation of the development in applied research. This is based on an idea that even the best machine tool with excellent technical and utility parameters is no good if it does not meet the requirements of the customer and is not marketable. From the fundamentals of the activity of cooperating institutes it cannot be expected that they themselves will offer the customer what they developed for commercial application. For this purpose they must have a reliable industrial partner and he must have a customer for whom he creates a value. In the opposite case all can be considered as only theoretical considerations, and this has nothing in common with applied research and development. Customer value Entrepreneurial success can be considered as the ability to predict the requirements of a customer and simultaneously to find ways how to create added values for customers either by themselves or with the help of cooperating institutes and companies. The customer anylyzes whether his requirements were fulfilled, if his needs were satisfied. The customer value is compared together with the utility values of the machine tool. Among utility values evalutaed by the customer can be: • reliability of the function and operation of the machine; • machining accuracy; • multifunctionality; • quality of the machined surface; • product economy; • environmental friendliness of operation; • intelligence installed in the machine; • labour productivity and effectiveness; • automation of machine run. Fig. 8.1.1: Example of customers´ view on the utility properties of machine tools The reliability of the function and operation of all machines is required without exception on the highest possible level. No customer wishes to repair his machine too often or have it set away. Machining accuracy is a criterion which reflects the quality of the design and type of the machine, activity of the operator,applied cutting operation and method of measurement of the final product. Highest requirements are traditionally laid on grinding machines, drilling machines and at present also on machining and multifunctional centres. Multifunctionality is the domain of the present time and does not only mean machining with more applied technologies. This means, as it has been stated above, converging of the values of the installed outputs of two basic machining operations, turning and milling. Surface quality in machining is in close relation with the achieved accuracy. These two attributes are usually closely related. The surface quality of components for aerospace industry is assessed differently from those for general industry. There is a boundary which cannot be exceeded by changing machining conditions since the design of the machine and the kinematic chain are absolutely inappropriate for the required surface quality. All customers will strictly consider the economy of operation. And it is quite obvious why. Ineconomic operation, based on e.g. an unnecessarily high installed output, decreases profitabilty and increases costs. Environmental friendliness is closely related with pollution of the environment of the machine tool. And this must not be confined only to the close neighbourhood of the machine. This can be a case of the protection of the operating staff against products created by the interaction between the cutting edge of the tool, the machined product and the process liquid. Intelligent systems of machine tools help the operating staff and techologists in the operating process to identify possible collisions and to specify optimum operating conditions of the machine tool. In addition they can make dealing with failures easier to the operating staff and service personnel of the manufacturing company. The productivity achieved in installed machine tools is a combination of the following factors: • mechanical properties of the machine tool; • applied strategy of individual cutting operations; • experience and accuracy of the operating staff. The bad mechanical design of a machine tool cannot be compensated by good electronics. The potential use decreases of high-quality tools and consequently of the productivity of machining. Automation, namely of auxiliary functions, such as automatic exchange of tools and of the workpiece, plays a significant role in the entire process in the assessment of the customer value. Automation minimizes the idle time and leads to an increase of productivity. The above attributes are sometimes considered by the customer as utility properties of the machine tool. Obviously different customers have different views on the utility properties of the purchased machine tools. This is why the outlined and discussed properties of machine tools have to be considered only as an example. Fig. 8.1.1 gives the utility properties of machine tools in percent for various types of machine tools. Added utility value of manufacturer Besides monitoring amd searching for the utility value for a customer, the manufacturer can offer services which make the offered machine tool more attractive. The machine tool itself does not mean anything to most customers. The customer needs to deal with the task of machining of the given component, to obtain the machine tool as soon as possible and if possible for an acceptable price. The added utility of the manufacturer comprises: • funding of the purchase of the machine tool; • supply of the adjusted machine tool; • above standard service; • rapid supply; • preferential training of the operating staff; • testing of the customer´s workpieces prior to the purchase; • participation in the development of the purchased machine tool; • cooperative activities. Funding is carried out in a way that the customer, namely in case of complete industrial plants, obtains a special schedule of instalments or a bank credit can be arranged for him. The supply of [bare[ machine tools with unadjusted technologies for the customers´ workpieces is slowly becoming history. The customer wants to be sure that his components can be machined on the purchased machine tool. Manufacturers create technological studies demonstrating the machining of the component, which they add to their offer.

    2017 11/30

  • Join Us: CNC Mill Programmer/Operator
    Great Opportunity with steadily growing company! Cinderella Industry &Trade Co., LTD is a professional manufacturer of all kinds CNC machining parts, Precision Lathe parts, Lean Pipe, Casting, metal stamping parts and forging parts , Body Pierced Jewelry . We have many years of experience in deep drawn metal stamping and providing solutions to customers here in the China and around the world. We serve the automotive, lock hardware, compressor, appliance, fire prevention, medical, pharmaceutical, electric tools, sports equipment, musical instrument and plumbing markets. Please check us out online at WWW.CNDBST.COM We provide a full benefits package including medical, life insurance, Insurance and Housing Fund , profit sharing program,vacation and much more. We are seeking qualified candidates for the CNC Machine Operator position at our industrial park. Listed below are the Qualifications and Requirements for the position. Responsibilities Obtain orders from Dept. Coordinator or Lead Person Align work in process bun on machine to be cut. Remove any top skin/sheets not necessary for order requirements. Key in program on CNC for next bun cutting. Start machine, checking for accuracy in the cutting program. Mark order complete and prepare for material handler to off load. Set CNC for next bun and repeat procedure. Change blade and perform daily maintenance when required. Qualifications Must have a High School Diploma or Equivalent Must be able to read and use a tape measure. Must be able to read and write on production sheets. Must be able to perform simple math (i.e. – counting, adding, subtracting, multiplying, and dividing). Must be able to lift up to 20kgs. You must be able to work overtime as needed. Basic computer skills are preferred. Foam manufacturing or foam fabrication experience is preferred. Job Location Industrial park located on Jimo Qingdao , China Contact Information Cinderella Industry &Trade Co., LTD Qingdao Office 0532-68876039 for Human Resources Email: career@cndbst.com Tips We are a drug- and alcohol-free workplace. Candidates must satisfactorily pass a drug screen and background inquiry before hire.

    2017 11/30

  • National Day Holiday Notice
    Dear All, Please be informed that the Office will be closed from Sunday 1 October 2017 to Sunday 08th October 2017 (both dates included) for celebrating China National Day. We will resume working on Monday 9th October 2017. If you have anything urgent, just feel free to call me 0086-13698683170 or send mail to Helen.w@cndbst.com, sorry for any inconvenience. Best regards, Cinderella Qingdao Office 2017.9.30 ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Qingdao Cinderella Industry &Trade Co., LTD. is a professional manufacturer of all kinds CNC machining parts, Precision Lathe parts, Lean Pipe, Casting, metal stamping parts and forging parts, Body Pierced Jewelry.We have strong technology that we are willing to develop competitive product with you. The first in quality, ceaseless perfection, trying our best to fulfill clients` needs." Innovate your product, glorify your equipment are the core of our product. We are pleased to establish business relationship with you.

    2017 09/30

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