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Bollinger, John G. "Productivity and quality improvement." Journal of Manufacturing Systems 5, no. 3 (January 1986): v—vi. http://dx.doi.org/10.1016/0278-6125(86)90041-5.
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Jones, Erick C. "Quality Control Measurement of an Engineering Productivity Index." Quality Engineering 17, no. 4 (October 2005): 641–46. http://dx.doi.org/10.1080/08982110500251352.
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Stutz, Werner R. "Productivity and quality improvements through orbital forming." Assembly Automation 23, no. 2 (June 2003): 147–52. http://dx.doi.org/10.1108/01445150310471383.
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Kootbally, Zeid. "Industrial robot capability models for agile manufacturing." Industrial Robot: An International Journal 43, no. 5 (August 15, 2016): 481–94. http://dx.doi.org/10.1108/ir-02-2016-0071.
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Purpose This paper aims to represent a capability model for industrial robot as they pertain to assembly tasks. Design/methodology/approach The architecture of a real kit building application is provided to demonstrate how robot capabilities can be used to fully automate the planning of assembly tasks. Discussion on the planning infrastructure is done with the Planning Domain Definition Language (PDDL) for heterogeneous multi robot systems. Findings The paper describes PDDL domain and problem files that are used by a planner to generate a plan for kitting. Discussion on the plan shows that the best robot is selected to carry out assembly actions. Originality/value The author presents a robot capability model that is intended to be used for helping manufacturers to characterize the different capabilities their robots contribute to help the end user to select the appropriate robots for the appropriate tasks, selecting backup robots during robot’s failures to limit the deterioration of the system’s productivity and the products’ quality and limiting robots’ failures and increasing productivity by providing a tool to manufacturers that outputs a process plan that assigns the best robot to each task needed to accomplish the assembly.
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Karimi Gavareshki, M. H., M. Abbasi, M. Karbasian, and R. Rostamkhani. "Application of quality engineering techniques in the main domains of industrial engineering." Journal of Achievements in Materials and Manufacturing Engineering 1, no. 90 (September 2, 2018): 22–40. http://dx.doi.org/10.5604/01.3001.0012.7972.
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Purpose: of this paper is to cover the main domains of industrial engineering based on the statistical and non-statistical techniques related to quality engineering. In this research, in addition to the review of the main domains of industrial engineering and the required specifications of technique, have been tried to present an integrated model of application of these techniques in order to create or increase the total score of productivity and sustainability in related scale with Analytic Hierarchy Process (AHP) approach. Design/methodology/approach: of this paper has been divided in two categories. The method of theoretical research consists of data collection tools, reference books, and several articles of the Iranian Center for Defences Standard. The method of practical research is the assessment of selected statistical and non-statistical techniques related to quality engineering, which have been deployed in the main domains of industrial engineering related to the manufacturing factories that are belonged to the selected industries of the Defence Industries Organization (DIO). Findings: of this paper consist of four main results. The maximum impact of standard statistical techniques in order to cover the main domains of industrial engineering and the required specifications of technique is related to the Statistical Process Control (SPC). Furthermore, the maximum impact of non-statistical techniques in order to cover them, is related to the Quality Function Deployment (QFD). The other results, which can be assessed with details, have shown that the maximum importance of the main domains of industrial engineering is related to the planning and manufacturing control and the maximum importance of the required specifications of technique is related to the mathematical analysis too. The total score of productivity and sustainability in related scale has been achieved to the upper than moderate level. In this research, the identification and determination of important factors, which have influenced on the productivity and sustainability have been done for the first time. The percentage of impact of the quality engineering techniques for both productivity and sustainability in the industrial engineering field is approximate to 70%. Research limitations/implications: of this paper suggest that the application of quality engineering tools including statistical and non-statistical techniques can be generalized to the other engineering or management fields with the same Analytic Hierarchy Process (AHP) or Analytic Network Process (ANP) approach in phase environments. Originality/value: of this paper have been extracted from the managers and experts involved with qualitative issues in the different levels of the Defence Industries Organization (DIO) and the Maham Group. This values are assessed from two aspects. Firstly, the validity of this research was carried out using expert’s opinions (Industrial advisers, Lead auditors of the Iranian center for Defences Standard and university professors). Secondly, all values of the research reliability are acceptable.
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Patil, Rahul S. "Productivity Improvement using Automation in Conveyor Roller Welding." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 10, 2021): 146–59. http://dx.doi.org/10.22214/ijraset.2021.34898.
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In the industrial workplace, automation enhances productivity and quality while reducing errors and waste, boosting safety, and providing greater flexibility to the manufacturing process. Industrial automation, in the end, results in enhanced safety, dependability, and profitability. Increased productivity is achieved by automating the welding machine for conveyer rollers. Many departments are included in this project like design, fabrication, testing, etc. The movement of welding torch with respect to workpiece can be automated with the help of pneumatics along with use PLC control system. Accuracy is the key factor on which the rate of success of the project can be measured. Hence, tried to standardized the project as much as possible by using standard data and equipment. Automation systems are increasingly displacing humans in the workplace. One of the advantages is that the human workforce will have more time to focus on more innovative projects as a result of the transition. All the required parameters are to be considered while designing the machine components. According to design, fabrication is done with the guidance of experts from the company as well as project guide.
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Yermolin, Dmitry, Zinaida Kotolovets, Natalia Studennikova, Galina Yermolina, and Daria Zadorozhnaya. "Improving the range of industrial plantings of grapes due to introduced clones." E3S Web of Conferences 175 (2020): 01017. http://dx.doi.org/10.1051/e3sconf/202017501017.
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Studies have shown that the clone of the Chardonnay R-10 against the background of the standard variety is characterized by higher agrobiological indicators: fruit bearing coefficient, average cluster weight, the yield from the bush exceeds the control by 1.3 times. The shoot productivity in the wet mass of the bunch in the clone of the Chardonnay R10 variety is characterized as “high”. The clone of the Sauvignon green R-3 variety showed high shoot fertility, the average mass of the bunch in the clone reaches 165.3 ± 2.2 g, exceeding the control 1.15 times, the yield from the bush reaches 4.02 ± 0.1 kg, exceeding the standard grade by 1 kg. The shoot productivity in the wet mass of the bunch is characterized as “high”. The average weight of a bunch in a clone of Muscat white R-3 variety reaches 275.3 ± 2.03 g, which is 95 grams more than the control (180.0 ± 3.2 g). The yield from the bush is 4.49 ± 0.2 kg, exceeding the standard variety by 1.7 times. The productivity of the shoot is characterized as “very high.” The degree of variation of characters in clone populations of the Chardonnay varieties R-10 (V = 2.4-9.8%), Sauvignon green R-3 (V = 1.88.7%), White Muscat R-3 (V = 1.2–9.3%) are characterized as weak, which indicates the genetic homogeneity of the studied clone populations under specific growing conditions. Technological evaluation showed that wine materials produced from introduced Chardonnay R-10 clones, Sauvignon green R-3 and White Muscat R-3 excel in quality indicators wine materials produced from standard varieties.
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Ma, Junwei, Jianhua Wang, and Philip Szmedra. "Does Environmental Innovation Improve Environmental Productivity?—An Empirical Study Based on the Spatial Panel Data Model of Chinese Urban Agglomerations." International Journal of Environmental Research and Public Health 17, no. 17 (August 19, 2020): 6022. http://dx.doi.org/10.3390/ijerph17176022.
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Environmental productivity comprehensively measures economic growth and environmental quality. Environmental innovation is considered to be the key to solving economic and environmental problems. Therefore, discussing the impact of environmental innovation on environmental productivity will reveal its economic and environmental effects. This paper measures environmental productivity by value added per unit of pollution emissions (four types of emissions are used) using panel data of 10 Chinese urban agglomerations from 2003 to 2016 to analyze the spatial correlation of environmental productivity, and constructs a spatial panel data model to empirically test the impact of environmental innovation on environmental productivity. It was found that environmental productivity measured by value added per unit of carbon dioxide emissions (gross domestic product (GDP)/CO2) had a significant positive spatial spillover effect, and measured by value added per unit of sulfur dioxide emissions (GDP/SO2), smoke (dust) emissions (GDP/SDE), and industrial sewage emissions (GDP/IS) had a significant negative spatial spillover effect. Environmental innovation has a significant negative inhibitory effect on environmental productivity measured by GDP/SDE and GDP/IS, but no obvious effect measured by GDP/CO2 and GDP/SO2. Control variables such as economic development level, industrial agglomeration, foreign direct investment, and endowment structure factor also show significant differences in environmental productivity measured by value added per unit of pollution emissions. In addition, there are significant differences in direct effects of explanatory variables on environmental productivity of local regions and indirect effects on neighboring regions. These differences are also related to the types of pollution emissions. Therefore, policymakers should set different policies for different types of pollution and encourage different types of environmental innovation, so as to achieve reduced pollution emissions and improved environmental productivity.
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Jaber, Alaa Abdulhady, and Robert Bicker. "Wireless Fault Detection System for an Industrial Robot Based on Statistical Control Chart." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 6 (December 1, 2017): 3421. http://dx.doi.org/10.11591/ijece.v7i6.pp3421-3435.
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Industrial robots are now commonly used in production systems to improve productivity, quality and safety in manufacturing processes. Recent developments involve using robots cooperatively with production line operatives. Regardless of application, there are significant implications for operator safety in the event of a robot malfunction or failure, and the consequent downtime has a significant impact on productivity in manufacturing. Machine healthy monitoring is a type of maintenance inspection technique by which an operational asset is monitored and the data obtained is analysed to detect signs of degradation and thus reducing the maintenance costs. Developments in electronics and computing have opened new horizons in the area of condition monitoring. The aim of using wireless electronic systems is to allow data analysis to be carried out locally at field level and transmitting the results wirelessly to the base station, which as a result will help to overcome the need for wiring and provides an easy and cost-effective sensing technique to detect faults in machines. So, the main focuses of this research is to develop an online and wireless fault detection system for an industrial robot based on statistical control chart approach. An experimental investigation was accomplished using the PUMA 560 robot and vibration signal capturing was adopted, as it responds immediately to manifest itself if any change is appeared in the monitored machine, to extract features related to the robot health conditions. The results indicate the successful detection of faults at the early stages using the key extracted parameters.
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Pollák, Martin, Monika Telišková, Marek Kočiško, and Petr Baron. "Application of industrial robot in 5-axis milling process." MATEC Web of Conferences 299 (2019): 04004. http://dx.doi.org/10.1051/matecconf/201929904004.
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Present in machining creates constantly new requirements to increase economic efficiency, productivity and product quality. With this advancement, industry is no longer focusing only on commonly used machining technologies, but is paying increasing attention to the implementation of robots in the manufacturing process by machining. The paper describes the design of equipment for the implementation of 5-axis milling with the help of a robot arm ABB IRB 140. It describes the design of the milling head and deals with the creation of NC machining program in software Autodesk Fusion 360. The generated NC program is then used in RoboDK to create a robotic arm control program. At the end of the paper are described laboratory tests of machining using the designed prototype milling head.
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Ulusal, Aysu, and Cemre Avsar. "Understanding Caking Phenomena in Industrial Fertilizers." Chemical & biochemical engineering quarterly 34, no. 4 (2021): 209–22. http://dx.doi.org/10.15255/cabeq.2020.1866.
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One of the most important problems of the fertilizer industry is that fertilizers show caking tendency during transportation and storage. Caking occurs as a result of interaction at the contact points formed between solid fertilizer particles. These interactions, also called contact mechanisms, are activated by a number of properties that fertilizers have and by environmental conditions. Prevention of caking mechanism is a substantial research subject that directly affects the quality and financial value of the final product and ensures its applicability. Fertilizer in good quality can provide ease in agricultural applications, and directly affect plant nutrition and crop productivity. At this point, there are various promoter practices for obtaining the free-flowing property in fertilizers that can be maintained or suggested during or after production, both in industry and in R&D studies. In order to develop new process control points in the industry, it is important to understand the factors that cause caking and the mechanism of physicochemical interactions that progress depending on these factors. In addition, it is essential to improve the storage conditions of the fertilizer, as well as to maintain its quality until end-use. This paper focuses on the caking behavior of fertilizers in detail, giving brief information about the prevention of caking and various types of anticaking agents.
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Silva, José Antonio Gonzalez da, Ângela Teresinha Woschinski De Mamann, Osmar Bruneslau Scremin, Ivan Ricardo Carvalho, Laura Mensch Pereira, Andressa Raquel Cyzeski de Lima, Francine Lautenchleger, et al. "Biostimulants in the Indicators of Yield and Industrial and Chemical Quality of Oat Grains." Journal of Agricultural Studies 8, no. 2 (March 2, 2020): 68. http://dx.doi.org/10.5296/jas.v8i2.15728.
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The supply of glutamic acid-based biostimulants may represent an innovative technology to increase oat grain yield and quality. The objective of this study is to measure the effect of different biostimulants based on concentrations of glutamic acid and nutrients and their application on indicators of productivity and industrial and chemical quality of oat grains. The study was conducted in 2016 and 2017 in a randomized block design with four replications, considering 10 combinations of treatments for different application conditions and types of glutamic acid-based biostimulants, which were: 1. Control; 2. Zinplex (seed) + Biomol (grain filling); 3. Zinplex (seed) + Glutamin Extra (grain filling); 4. Zinplex (seed) + Biomol (thinning); 5. Glutamin Extra (1st fungicide application) + Glutamin Extra (2nd fungicide application); 6. Biomol (1st fungicide application) + Biomol (2nd fungicide application); 7. Zinplex (seed) + Vorax (grain filling); 8. Vorax (1st fungicide application) + Vorax (2nd fungicide application); 9. Biomol (thinning) + Vorax (grain filling) and 10. Biomol (thinning) + Glutamin Extra (grain filling). The foliar application of biostimulants with the presence of glutamic acid and nutrients may have positive effects on variables related to productivity and industrial and chemical quality of oat grains, however, depending on the agricultural year conditions. The application of Glutamin Extra in the 1st and 2nd fungicide application shows the best results in the vast majority of grain yield and quality variables, but the costs involving only biostimulants do not guarantee economic viability.
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Kurchaeva, Elena, Aleksander Vostroilov, Elena Vysotskaya, and Igor Maksimov. "Feed synbiotic additive to improve the productivity and quality of rabbit meat." BIO Web of Conferences 17 (2020): 00253. http://dx.doi.org/10.1051/bioconf/20201700253.
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The study is dedicated to research into efficiency of influence of probiotic additive “Prostor” on productivity, chemical composition of meat of rabbits. The influence of synbiotic preparation “Prostor” on the population of male rabbits of hybrid form “Hypharm” of French breeding, selected at the age of 45 days. The study took place at the industrial complex of LLC “Lipetsk rabbit” in Khlevensky district of Lipetsk region. The animals were divided into control and experimental groups by the method of pairs-analogues. The control group of rabbits received the basic diet consisting of lall-mash feed PZK-92, while the rabbits of the experimental group received compound feed PZK-92-60-18, which included synbiotic “Prostor” in a dosage of 1 g/kg of feed. Meat quality assessment was carried out at the age of 105 days after control slaughter in the amount of 3 animals from each group. The use of the stated dosage of synbiotic preparation had a positive effect on the productive indicators of rabbits (live weight, average daily growth). The morphological composition data showed that rabbits of the experimental group outperformed rabbits of the control group by 23.84 % in terms of muscle mass. Analysis of the chemical composition of muscle tissue showed that the use of feed additives “ProStor” in a dosage of 1.0 g per kg of feed has a positive effect on meat productivity and quality of rabbit meat, which opens up prospects for the use of the preparation in the rabbit industry.
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Li, Tinghui, Jiehua Ma, and Bin Mo. "Does Environmental Policy Affect Green Total Factor Productivity? Quasi-Natural Experiment Based on China’s Air Pollution Control and Prevention Action Plan." International Journal of Environmental Research and Public Health 18, no. 15 (August 3, 2021): 8216. http://dx.doi.org/10.3390/ijerph18158216.
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It is the scientific way to promote the transformation and optimization of an industrial structure to promote the improvement of its green total factor productivity (GTFP) by formulating environmental regulation policies. Based on the GTFP panel data of 30 provinces in China from 2004 to 2017, this paper takes the “Air Pollution Control and Prevention Action Plan” (APCP Action Plan) as the proxy dummy variable of environmental regulation, and uses the difference-in-differences (DID) model to explore the impact of the implementation of the APCP Action Plan on GTFP. In addition, by constructing the industrial structure optimization index, this paper analyzes how the APCP Action Plan policy affects GTFP through the transformation and optimization of industrial structure. The following basic conclusions are obtained: First, environmental regulation policies like the APCP Action Plan can improve GTFP. Second, the APCP Action Plan has regional heterogeneity in promoting GTFP in different regions. The policy only significantly affects the GTFP in the Pearl River Delta region in southern China. Third, the “quantity” and “quality” of the optimization of industrial structure will weaken the promoting effect of the APCP Action Plan on GTFP. In contrast, the rationalization of industrial structure will aggravate this promoting effect.
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Kukreja, Astha, Abhishek Monga, and Pradeep Khanna. "Investigation of Process Capability of a Reaming Operation Using Statistical Tools." Applied Mechanics and Materials 110-116 (October 2011): 1643–48. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.1643.
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In the present industrial scenario, quality control is a crucial factor for the success of an industry or an organization. Process capability is an important statistical quality tool for measuring the capability of an industrial operation. The paper aims at the process capability of a reaming operation in manufacturing of cylinder head in a leading motorcycle company. The process capability of the reaming operation can be reflected by measuring the quality characteristics of its machined component. For this purpose, adequate sampling of the lot has been considered, probability plots and histograms have been prepared and the performance indices have been computed that indicate the capacity of the process to manufacture a component efficiently. Based on the observations made and data analysis, it has been proved that this statistical process control technique not only helps in improving quality and productivity of an industrial operation but also helps in taking important managerial decisions in an organization.
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Manoj, G., and J. Niresh. "AN EMPIRICAL STUDY ON THE CONROL OF REJECTION RATE IN INSTRUMENT CLUSTER ASSEMBLY LINE BY USING QUALITY CONTROL TOOLS AND KAIZEN." International Journal of Engineering Technologies and Management Research 7, no. 9 (September 16, 2020): 14–23. http://dx.doi.org/10.29121/ijetmr.v7.i9.2020.774.
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In today’s competitive world, any organization has to do mass production but mass production has both advantages and disadvantages. More rejection and more waste formation occurs in mass production. Further wastage leads to decreases in productivity and improvements. Lean production leads to minimizing the wastes and also improving the productivity. Hence profits would be considerably increased and further improvements takes place. Lean production has several benefits over mass production. It reduces the storage area and also helps in cost savings. Quality control tools played an important role in industrial engineering. They use 7 different tools to find the root cause for the defects and also prioritize it. Why – why analysis used to find the causes for the problem in accurate manner. Lot of questions arises which paved the way for the solutions to solve the problems. Kaizen culture should be encouraged. We must conduct Kaizen event weekly to motivate the workers by providing increments and gifts and also share the new ideas among our industrial peoples. Lean manufacturing brings less inventory, less material wastage than other methods. Flow of materials should be properly maintained. This paper discuss about how to control the rejection rate in instrument cluster assembly line by using the seven Quality control tools and the famous Kaizen (Lean technique).
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Setiadi, Eri, and Lies Setijaningsih. "IMPROVING WATER QUALITY AND PRODUCTIVITY OF TILAPIA (Oreochromis niloticus) USING CONSTRUCTED WETLAND." Indonesian Aquaculture Journal 6, no. 2 (December 31, 2011): 107. http://dx.doi.org/10.15578/iaj.6.2.2011.107-122.
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Organic and inorganic pollutants such as N, P, and heavy metals are a serious problem in water bodies (lake, reservoir, river, and stream) and have deleterious effects to pond productivity and human health. These pollutants produced from anthropogenic activities (i.e. industrial, agricultural, and settlement) are released into the water bodies and causing poor water quality. Constructed wetland (CW) is one of the technologies that have the capability to solve such problems. The purpose of this experiment was to examine the efficiency of constructed wetland in terms of reducing pollutants from the stream as a water resource for aquaculture area and increasing fish production. Two kinds of treatments were set up: one fish pond culture with constructed wetland and the other one without constructed wetland (control). Each treatment consisted of three replications. The result showed that water quality in the fish pond with CW was better than the control. Constructed wetland were able to reduce ammonia (NH3-N), nitrite (NO2-N), nitrate (NO3-N), TN, phosphate (PO4-P), TP, Cu, Pb, and As concentrations to 15.00%-88.27%, 9.52%-72.73%, 11.11%-57.14%, 20%-66.67%, 24.44%-80.77%, 12.04%-77.95%, 50.00%-100%, 56.25%-100%, and 46.83%-100%, respectively. Nile tilapia cultured in pond using CW was higher than the control in terms of total length, body weight, and survival rate. The t test revealed that nile tilapia (Oreochromis niloticus) cultured in pond with CW and the control has significant difference (P<0.01) in terms of total length, body weight, and survival rate. This is the evidence that constructed wetland technology is very useful on improving water quality and increasing pond productivity of nile tilapia cultured in the freshwaterpond.
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Vagaš, Marek, Ján Semjon, Alena Galajdová, Dušan Šimšík, Róbert Rákay, Patrik Šarga, and Martin Višňovský. "Testing of Selected Accuracy Parameters for the Single Axis Positioner at the Automated Workplace." Measurement Science Review 21, no. 2 (April 1, 2021): 47–54. http://dx.doi.org/10.2478/msr-2021-0007.
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Abstract Although some authors realized various measurement techniques and relevant standards in the experimental verification, the existing contributions still did not mention more complex automated workplaces with industrial robotic arm participation. To solve this, we provide a different view of the interconnection between individual devices (positioner, robot, etc.) controlled by third-party methods (Siemens products). Also, to obtain the necessary effectiveness, we tested and verified selected accuracy parameters for the participating device component (positioner). The proposed work tries to fulfill expectations for a precise welding technology (to ensure simultaneous movements of both the industrial robotic arm and positioner) to achieve higher quality and productivity. However, the components are from different manufacturers.
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Loosemore, Martin. "Improving construction productivity: a subcontractor's perspective." Engineering, Construction and Architectural Management 21, no. 3 (May 13, 2014): 245–60. http://dx.doi.org/10.1108/ecam-05-2013-0043.
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Purpose – Surprisingly, given the prominence and front-line role of subcontractors in the construction industry, their perspective is almost completely absent from construction productivity literature. Existing research in this area presents a highly one-sided principal contractor perspective and there are very few insights into what subcontractors think. The purpose of this paper is to address the imbalance by investigating the determinants of construction productivity from a subcontractor's perspective. Design/methodology/approach – Focus groups with 71 of Australia's leading tier-one subcontractors were conducted with the aim of exploring their insights into the productivity challenge. Findings – The findings indicate that the main determinants of productivity for subcontractors are: the quality of relationships with principal contractors; opportunity for early involvement in design; transparent tender practices; growing administration and document control; design management; project management and supervisory skills, particularly in planning, scheduling and coordination; risk management and; industrial relations (IR). Research limitations/implications – This research was conducted in Australia and similar research needs to be conducted in other countries to cross-reference and validate the results more widely. Practical implications – In practical terms, a “culture” of productivity improvement will need to be “nurtured” across the business and supply chain if productivity is to be improved. In particular contractors should avoid bid shopping, respect subcontractor IP and talk to subcontractors earlier in a project. Social implications – By respecting the opinions of subcontractors who employ the vast majority of workers in the construction industry, productivity and employment can be increased. Originality/value – The focus group results add significantly to a more balanced understanding of what has hitherto been a one-sided principal contractor focused debate.
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Ryan, Brendan. "Industrial Relations and the Rationalisation of Australian Education." Australian Journal of Education 38, no. 2 (August 1994): 147–56. http://dx.doi.org/10.1177/000494419403800205.
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There is a recognisable orthodoxy in current discussion of award restructuring in Australian education. Its central proposition is that productivity-based wage increases would inevitably be accompanied by a general improvement in the quality of education. However the new industrial logic would lead to a substantial narrowing of the mainstream curriculum. Furthermore teacher union representation within corporatist decision-making procedures would increasingly be forced to accept as a given the contemporary trend towards consolidation of economic rationalist controls over educational priorities and practices. Rejecting any pursuit of wage justice for teachers that proposes to trade away ‘old style’ teacher union commitments to democracy and equality in education, I argue for a much more inclusive model of educational accountability, one based resolutely on anti-corporatist forms of educational participation.
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Leskiw, Leonard A., Catherine M. Welsh, and Takele B. Zeleke. "Effect of subsoiling and injection of pelletized organic matter on soil quality and productivity." Canadian Journal of Soil Science 92, no. 1 (January 2012): 269–76. http://dx.doi.org/10.4141/cjss2011-003.
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Leskiw, L. A., Welsh, C. M. and Zeleke, T. B. 2012. Effect of subsoiling and injection of pelletized organic matter on soil quality and productivity. Can. J. Soil Sci. 92: 269–276. Subsoil compaction is a widespread problem in most reclamation and other industrial operations. The objective of our research was to evaluate effectiveness of coupling deep subsoiling with injection of 20 Mg ha−1 organic matter pellets. Research was conducted at seven sites on a pipeline right-of-way in central Alberta. Treatments were subsoiling, subsoiling with pellets and a compacted right-of-way (control), established in spring and fall 2009. Treatment effects on soil physical properties and nutrient status were assessed in fall 2009 for spring-established sites and on all sites in fall 2010. Density and height of canola plants were determined in late summer 2010. Relative to the control, subsoiling with pellet treatments had lower bulk density in the 20- to 40-cm depth interval (up to 40%) in 2010, particularly in clay-loam soils. This treatment often had higher available phosphorus and total organic carbon in 2010, and total nitrogen in spring treated sites in 2009. Relative to the control, subsoiling with pellets had 46% higher canola plant density in clay loam soils of fall-treated sites. Subsoiling with pellets is recommended on heavy-textured, compacted soils to alleviate compaction and increase plant productivity.
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Ong, Choon Hee, You Ying Koo, Owee Kowang Tan, and Chin Fei Goh. "Does rational culture matter in the relationship between lean manufacturing practices and operational productivity?" Journal of Manufacturing Technology Management 32, no. 5 (February 26, 2021): 994–1015. http://dx.doi.org/10.1108/jmtm-09-2020-0345.
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PurposeThis paper aims to examine the role of rational culture in the relationship between lean manufacturing practices and operational productivity in the machinery and equipment industry.Design/methodology/approachThis study uses a cross-sectional quantitative approach to conduct the research. Using an online survey questionnaire, 118 responses were collected. SPSS was used to assess validity, reliability and hypothesis testing of the study variables. Hierarchical regression analysis was employed to investigate the moderating effects of rational culture.FindingsThe study results reveal that quick setup and quality control were significantly related to operational productivity. Rational culture was a significant quasi-moderator.Practical implicationsThis study highlights the importance of quick setup and quality control for machinery and equipment firms to gain higher operational productivity. Rational culture could be used to drive the firms toward greater achievements in this regard.Originality/valueThe use of rational culture as a quasi-moderator in the relationship between lean manufacturing practices and operational productivity is unprecedented. This study offers new findings by introducing the role of rational culture to enhance the effects of lean manufacturing practices on operational productivity.
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Son, Young Kyu, and Chan S. Park. "Economic measure of productivity, quality and flexibility in advanced manufacturing systems." Journal of Manufacturing Systems 6, no. 3 (January 1987): 193–207. http://dx.doi.org/10.1016/0278-6125(87)90018-5.
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Nadtochiy, А. Iu, and M. V. Zabolotnyh. "Effect of Immuguard immune stimulator on broilers; productivity and quality of meat." Bulletin of NSAU (Novosibirsk State Agrarian University), no. 4 (December 23, 2018): 140–47. http://dx.doi.org/10.31677/2072-6724-2018-49-4-140-147.
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The authors highlight that broiler poultry is considered to be one of the most profitable and promising sectors of agriculture. At the same time, industrial technologies experience unsolved problems, such as death of young poultry in the first weeks of life due to the lack of resistible immune system, which is formed by the end of the third week. In this regard, development and application of immune stimulating specimens is a promising direction for stimulation and maintenance of natural poultry resistance and improve its economic parameters. The specimens used should not affect the quality and products safety. The example of such specimen is ImmuGuard; it was tested in the experimental vivarium conditions at the Department of Veterinary and Sanitary Expertise of Livestock Products And Hygiene of Agricultural Animals at the Institute of Veterinary Medicine And Biotechnology of Omsk State Agrarian University. The researchers arranged three experimental groups from Ross broilers on the basis of similarity. 1st experimental group received the specimen dosed 150; second group of broilers -250 g / t of water during 18 days from the date of hatching, and the 3rd group was arranged as a control one. Growth and weight parameters were determined by individual weighing of poultry every seven days. The quality of broilers’ meat was assessed by means of conventional methods used in veterinary and sanitary assessment of poultry meat. The experience showed a positive effect of the specimen on live weight gain of poultry: the authors observed body weight of broilers aged 42 days from first experimental group was 4.12 higher; broilers from the 2nd group 1.39% in comparison with the control group. The authors highlight a significant increase in the average daily growth: the 1st group showed the growth on 32.21% from the 22nd to the 35th day in respect to the control parameters. Organoleptic, physico-chemical and microbiological parameters of meat of all groups conformed to GOST 31470-2012 and SanPiN 2.3.2.1078-01 standards.
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Sharma, V. S., M. Dogra, and N. M. Suri. "Advances in the turning process for productivity improvement — a review." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222, no. 11 (November 1, 2008): 1417–42. http://dx.doi.org/10.1243/09544054jem1199.
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Increasing productivity and reducing manufacturing cost have always been keys to successful business. In machining, higher values of cutting parameters offer opportunities for increasing productivity, but this also involves greater risk of deterioration in surface quality and tool life. During the past decade significant advances have been made in the development of cutting tool materials for machining of ‘difficult-to-cut’ materials. The cost involved in the production of new turning tools is very high. To overcome this cost factor researchers have tried to bring about modifications in the turning process using existing tool materials. A good understanding of the cutting conditions, temperature generation, failure modes, and cutting forces leads to efficient control of the turning process. The literature reveals that modifications in the tool geometry (such as grooved/restricted contact tools (RCTs) and chamfered/honed edges), applications of cooling techniques, ultrasonic assisted turning (UAT), hot machining, and cryogenic treatment of inserts have led to efficient and economic machining of modern materials used for aerospace, steam turbine, bearing industry, nuclear, and automotive applications. This paper presents a review of the different techniques involved in turning which can supplement the performance of cutting tools for improved economics, good surface finish, and surface integrity during machining of the latest materials.
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Nikulin, V. N., and A. S. Mustafina. "Influence of the complex of amino acids and silicon dioxide on the productivity and quality of meat of broiler chickens." Kormlenie sel'skohozjajstvennyh zhivotnyh i kormoproizvodstvo (Feeding of agricultural animals and feed production), no. 8 (July 15, 2021): 42–56. http://dx.doi.org/10.33920/sel-05-2108-05.
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In order to increase the meat productivity of poultry scientists around the all world are working to improve the breeding traits and technologies of housing and feeding. However, the efficiency of poultry meat production on an industrial basis depends not only on the strengthening and inheritance of breed qualities, but also on a complete and balanced feeding, including the use of new feed additives. All this generally affects the duration of rearing, the average daily and absolute live weight gains, the biological value and nutritional value of poultry meat produced in industrial conditions. The purpose of the work was to study the effect of the amino acid complex and silicon dioxide on the productivity and quality of broiler chicken meat. The paper scientifi cally substantiates and experimentally proves the effectiveness of using a rational dose of ultrafine silicon dioxide (300 mg/kg of feed) and the complex of amino acids (arginine – 7 g/kg, lysine – 6 g/kg, methionine – 2 g/kg) in the rearing of broiler chickens. Data on the positive influence of the studied factor on the consumption, digestibility and use of feed nutrients, as well as meat productivity and quality of broiler chicken meat have been obtained. The dependence of meat productivity and quality of chicken meat on physiological and biochemical parameters has been proved. Analysis of the results of the production experiment has been shown that the livability of poultry in the experimental group was higher than the control group by 1,4 %. This made it possible to reduce feed consumption to 100 g/head, and feed consumption per 1 kg of chicken growth in the experimental group by 9,2 %. Activation of metabolic processes of the body of broiler chickens of the experimental group contributed to the increase in their live weight, which increased the weight of the gutted carcass, the yield of meat by 13,8 %, and meat with off al for sale by 18,0 %. The efficiency of the complex application of amino acids and silicon dioxide in the production of poultry meat is economically justified.
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Soares, Cristiane Moi, Marcos Paulo Ludwig, Claudia Moi Soares Rother, and Leticia Decarli. "Seed quality and crop performance of soybeans submitted to different forms of treatment and seed size." Journal of Seed Science 41, no. 1 (January 2019): 69–75. http://dx.doi.org/10.1590/2317-1545v41n1210486.
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Abstract: The objective of this work was to evaluate the effect of different grain sizes and treatments in the physiological quality of seeds and performance of soybean cultures. The object of analysis were seeds from the cultivars Monsoy 5730 IPRO and Monsoy 5947 IPRO, sized 5.5 and 6.5 mm. The industrial seed treatment was carried out in lot equipment, with the products cyantraniliprole, thiamethoxam, metalaxyl, thiabendazole, and a combination of fludioxonil + polymer + talc. The conventional treatment was performed with the products cyantraniliprole, thiamethoxam, metalaxyl, thiabendazole, and fludioxonil. Part of the seeds was kept untreated (control). The experiment used a randomized block design, with four replications. The parameters assessed include the moisture content measurement, seed coating, germination, first germination count, field emergence, survival rate, and grain yield (right after the seed treatment and after 45 days of storage). The industrial treatment method produced a better seed coating. As for seed size, it had no effect on quality or grain yield. Last, the treated seeds presented the best results for emergence in field, while the industrial treatment achieved the highest productivity.
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Hu, S. Jack, and Kathryn E. Stecke. "Analysis of automotive body assembly system configurations for quality and productivity." International Journal of Manufacturing Research 4, no. 3 (2009): 281. http://dx.doi.org/10.1504/ijmr.2009.026575.
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Meirizha, St Nova, and Dian Kristina. "ANALISIS KECACATAN PRODUK CRUDE PALM OIL (CPO) MENGGUNAKAN METODE QUALITY CONTROL CIRCLE (QCC) PADA PT.RAMAJAYA PRAMUKTI." Jurnal Surya Teknika 8, no. 1 (July 23, 2021): 243–51. http://dx.doi.org/10.37859/jst.v8i1.2616.
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Quality is the overall characteristics and characteristics of a product or service whose ability to satisfy needs, both expressed and implied (Irwan & Haryono, 2015). In this era of increasingly competitive industrialization, every business person who wants to win the competition in the industrial world will pay full attention to quality. QCC is a new concept to improve the quality and productivity of industrial/service work. It is evident that one of the success factors of industrialization in Japan is the effective implementation of QCC. In this research journal, the quality of crude palm oil (CPO) levels is decreasing. There are 3 types of defects, namely levels of FFA (Free Fatty Acids), levels of Moisture (Water) and levels of Dirt (Stool). Of these three, the most dominant are FFA levels and Moisture levels. Free fatty acid content (FFA) of 158 samples tested contained 150 samples of free fatty acids (FFA) which were outside the company standard. Then followed by moisture content with a total defect of 45 samples from 158 test samples. At the level of dirt (Dirt) there are absolutely no samples that are outside the company's standards.
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Zaernyuk, Victor, Yuriy Zabaykin, Mikhail Kharlamov, and Zhang Chi. "Economic growth, pollution, and quality of environment: estimation of problems and solutions." Economic Annals-ХХI 183, no. 5-6 (June 4, 2020): 43–50. http://dx.doi.org/10.21003/ea.v183-04.
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Faced with the dilemma of industrial economic growth and improved environmental quality, the government must formulate a sound environmental regulatory policy to accelerate the tipping point of improving environmental quality. In our opinion, the issues of measuring the effectiveness and rationality of economic policies and environmental regulation tools will be at the centre of scientists’ upcoming research. Production with a high level of pollution limits the further development of the economy of any country. It is necessary to radically change the mode of development of the industrial economy, which requires a constant increase in the overall productivity of «green» factors of production, which contribute to improving the quality of economic growth in industry. In the process of accelerating the «green» transformation of the economy, the important role of the productivity of «green» factors in the transformation of the economic growth regime should be fully realized. The authors examine environmental factors that directly affect the country’s economy in the context of the selected indicators. Improving the quality of the environment is not an inevitable endogenous result in the process of economic growth, that is why, we cannot continue the current extensive economic growth regime and expect automatic improvement in the quality of the environment. There is a certain threshold for the quality of the environment. As soon as environmental pollution exceeds the capacity of the ecosystem, it will lead to irreversible environmental losses. Therefore, we must first correct the concept of pollution, and then control it, taking into account the improvement of environmental quality and economic growth.
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Chen, Jing, Ai Jun Luo, You Xin Yuan, Chun Xiao, Wang Lin Wang, Zhong Xiang Li, He Cai Li, Bao Ping Mao, and Zhuo Chen. "A New Cast Stone Roller Kiln and its Combustion Control Approach." Advanced Materials Research 605-607 (December 2012): 428–32. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.428.
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The domestic cast stone industrial production is of high energy consumption and low productivity, so a new cast stone roller kiln is firstly developed. A combustion control approach is advanced to accommodate the new roller kiln architecture and meet the combustion control requirements. Continuous proportion and pulse control methods are adopted to the high-speed isothermal burners with internal dense distribution. Two controllers mutually collaborated in pairs to obtain the internal uniform temperature. The implementation of the combustion control scheme is put forward. The application results demonstrated that the new roller kiln and combustion controller could effectively decrease the furnace temperature difference, increase stability of the combustion atmosphere, improve product quality, reduce energy consumption and NOx emissions.
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Courtis, Kenneth S. "La politique industrielle dans la Communauté économique européenne : Crise et changement." Études internationales 12, no. 2 (April 12, 2005): 269–320. http://dx.doi.org/10.7202/701195ar.
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The ultimate goal of industrial policy is to allow constant improvement in both the quality and standard of living. Necessary conditions to such improvement are full employment at both high, real wages and at increasing rates of productivity. For the European Economic Community, productivity must not only increase absolutely but also relatively, in comparison to other international competitors. Yet during the 60's and early 70's, Europe's competitive position in a number of major industrial sectors weakened, such that the energy shock, when it did come, signaled a reversal in established terms of trade. Suddenly, the Common Market was confronted with new problems of adjustment and decline. It is within this context that both the role and the focus of EEC industrial policy have changea and that come to play the underlying dynamics that shape European industrial policy formulation. In these new economic conditions, traditional policies of demand management, of counter-cyclical measures and of monetary control have proved inadequate to restore real growth, full employment and ordered structural change. While purely national solutions appear to be no longer possible in many sectors, member countries have become increasingly locked into competitive rather than the complementary industrial strategies. New and intense political strains have emerged. Political legitimacy and a clear mandate are critical to the formulation and implementation of industrial policy. Although the essential economic logic of the Treaty of Rome is clear, its political dimensions are less evident. Indeed there is nothing in the Common Market treaty about industrial policy. Yet as the question of industrial development moves to the centre of political debate, the future evolution of the community will be increasingly linked to EC industrial policy. This article analyzes European industrial policy as we enter the 80's. It begins with an analysis of the economic realities and the social and political forces behind the changing focus of European industrial policy and examines briefly the context of industrial policy formulation at the European Community level. Subsequently it turns to the new sectoral pattern and emphasis of European industrial policy. Finally, the article evaluates the evolution of European industrial policy in the latter part of the 70s and considers emerging trends.
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Yan, X., K. Shirase, M. Hirao, and T. Yasui. "Evaluation and Improvement of Productivity in High-Speed NC Machining." Journal of Manufacturing Science and Engineering 122, no. 3 (June 1, 1999): 556–61. http://dx.doi.org/10.1115/1.1286170.
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The productivity of machining centers is influenced inherently by the quality of NC programs. To evaluate productivity, first an effective feedrate factor and a productivity evaluation factor are proposed. It has been found that in high-speed machining, these two factors depend on a kinematic factor which is a function of (1) command feedrate, (2) average per-block travel of the tool, (3) moving vectorial variation of the tool, and (4) ac/deceleration or time constants. Then an NC program simulator has been developed to evaluate productivity. With the simulator, the machining time can be calculated accurately and the cutting conditions can be extracted. Finally, three NC programs were implemented on high-speed machining centers and analyzed by the simulator. It was found that in mold and die machining, the productivity can be improved by increasing the acceleration and average travel and reducing the vectorial variation of the tool rather than the command feedrate. [S1087-1357(00)01303-4]
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Škultéty, Emil, Elena Pivarčiová, and Ladislav Karrach. "Design of an Inertial Measuring Unit for Control of Robotic Devices." Materials Science Forum 952 (April 2019): 313–22. http://dx.doi.org/10.4028/www.scientific.net/msf.952.313.
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Industrial robots are increasingly used to automate technological processes, such as machining, welding, paint coating, assembly, etc. Automation rationalizes material flows, integrates production facilities and reduces the need for manufacturing inventory, provides cost savings for human maintenance. Technology development and growing competition have an influence on production growth and increase of product quality, and thus the new possibilities in innovation of industrial robot are searched for. One of the possibilities is applying of an inertial navigation system into robot control. This article focuses on new trends in manufacturing technology: design of Inertial Measurement Unit (IMU) for a robotic application control. The Arduino platform is used for the IMU as a hardware solution. The advantage of this platform is low cost and wide range of sensors and devices that are compatible with this platform. For scanning, the MEMS sensor MPU6050 is used, which includes a 3-axis gyroscope and an accelerometer in one chip. New trends in manufacturing facilities, especially robotics innovation and automation, will enable the productivity to grow in production processes.
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Ma, Qing Guo, Guan Xiong Pei, Wen Wei Qiu, Lin Feng Hu, Jun Feng Guo, and Xiao Hui Yao. "Optimizing the Flow Velocity of the Assembly Line: A Cognitive Neuroscience Perspective." Advanced Materials Research 1006-1007 (August 2014): 394–97. http://dx.doi.org/10.4028/www.scientific.net/amr.1006-1007.394.
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Human resource is an indispensible element of industrial engineering. Based on Neuro-Industrial-Engineering, we combine the cognitive neuroscience and information technology with cybernetics, and advance a new intelligent human-machine system. Starting with neurophysiological signal (such as electroencephalogram) collection, the system is capable of real-time monitoring and online assessment of the workers’ physiological states. Based on the physiological information and the production information, the system could detect the bottleneck of the assembly line and realize automatic control of the assembly line’s flow velocity. It largely enhances the response speed of the system, and increase the productivity as well as product quality, which is much more effective than the Toyota system in which the assembly line is only stopped when a specific production accident has been detected during production.
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HASSAN, M., A. SADEK, M. H. ATTIA, and V. THOMSON. "INTELLIGENT MACHINING: REAL-TIME TOOL CONDITION MONITORING AND INTELLIGENT ADAPTIVE CONTROL SYSTEMS." Journal of Machine Engineering Vol.18, No.1 (February 22, 2018): 5–18. http://dx.doi.org/10.5604/01.3001.0010.8811.
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Unmanned manufacturing systems has recently gained great interest due to the ever increasing requirements of optimized machining for the realization of the fourth industrial revolution in manufacturing ‘Industry 4.0’. Real-time tool condition monitoring (TCM) and adaptive control (AC) machining system are essential technologies to achieve the required industrial competitive advantage, in terms of reducing cost, increasing productivity, improving quality, and preventing damage to the machined part. New AC systems aim at controlling the process parameters, based on estimating the effects of the sensed real-time machining load on the tool and part integrity. Such an aspect cannot be directly monitored during the machining operation in an industrial environment, which necessitates developing new intelligent model-based process controllers. The new generations of TCM systems target accurate detection of systematic tool wear growth, as well as the prediction of sudden tool failure before damage to the part takes place. This requires applying advanced signal processing techniques to multi-sensor feedback signals, in addition to using ultra-high speed controllers to facilitate robust online decision making within the very short time span (in the order of 10 ms) for high speed machining processes. The development of new generations of Intelligent AC and TCM systems involves developing robust and swift communication of such systems with the CNC machine controller. However, further research is needed to develop the industrial internet of things (IIOT) readiness of such systems, which provides a tremendous potential for increased process reliability, efficiency and sustainability.
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Silvonen, Jussi, Niko Järvelä, Markus Koppanen, Matti Järveläinen, Arto Ojuva, and Erkki Levänen. "Online monitoring of polysaccharide solution concentration by electromagnetic field, electrical conductivity and spectrophotometry measurements." Chemical Papers 75, no. 11 (July 8, 2021): 5885–94. http://dx.doi.org/10.1007/s11696-021-01733-5.
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AbstractOnline control of industrial processes by lean principle increases productivity and yields higher product quality. Polysaccharides are dissolved in liquids, such as water, in many industrial products, like paints, cosmetics and culinary products. In these products, it is important to control viscosity or create thixotropy and yield stress for product functionality. Electromagnetic field and electrical conductivity techniques were applied to a meter polysaccharide dissolution process online up to a 0.5 wt% concentration, and the resultant solution was also further tested by UV–Vis spectrophotometry. The electromagnetic field technique measures changes in the local electrical permittivity of the liquid and the interest in this research were to find out whether the changes correlate to the concentration changes during the dissolution of polymer polysaccharide. The results that were obtained showed good consistency, suggesting the feasibility of the electromagnetic field technique in online monitoring of a polysaccharide suspension concentration. Moreover, this technique gives the advantage of instant monitoring of a polysaccharide dissolution for improved process control. Graphic abstract
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AL-Tahat, Mohammad D., and Khaled M. Bataineh. "Statistical Analyses and Modeling of the Implementation of Agile Manufacturing Tactics in Industrial Firms." Mathematical Problems in Engineering 2012 (2012): 1–23. http://dx.doi.org/10.1155/2012/731092.
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This paper provides a review and introduction on agile manufacturing. Tactics of agile manufacturing are mapped into different production areas (eight-construct latent): manufacturing equipment and technology, processes technology and know-how, quality and productivity improvement, production planning and control, shop floor management, product design and development, supplier relationship management, and customer relationship management. The implementation level of agile manufacturing tactics is investigated in each area. A structural equation model is proposed. Hypotheses are formulated. Feedback from 456 firms is collected using five-point-Likert-scale questionnaire. Statistical analysis is carried out using IBM SPSS and AMOS. Multicollinearity, content validity, consistency, construct validity, ANOVA analysis, and relationships between agile components are tested. The results of this study prove that the agile manufacturing tactics have positive effect on the overall agility level. This conclusion can be used by manufacturing firms to manage challenges when trying to be agile.
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Dedeke, Adenekan (Nick), and Kuo Ting Hung. "Simulating the impact of parcel size and bar code quality on the productivity of parcel sorting machines." International Journal of Industrial and Systems Engineering 5, no. 1 (2010): 110. http://dx.doi.org/10.1504/ijise.2010.029764.
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Larraya, Luis M., Mikel Alfonso, Antonio G. Pisabarro, and Luc�a Ram�rez. "Mapping of Genomic Regions (Quantitative Trait Loci) Controlling Production and Quality in Industrial Cultures of the Edible Basidiomycete Pleurotus ostreatus." Applied and Environmental Microbiology 69, no. 6 (June 2003): 3617–25. http://dx.doi.org/10.1128/aem.69.6.3617-3625.2003.
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ABSTRACT Industrial production of the edible basidiomycete Pleurotus ostreatus (oyster mushroom) is based on a solid fermentation process in which a limited number of selected strains are used. Optimization of industrial mushroom production depends on improving the culture process and breeding new strains with higher yields and productivities. Traditionally, fungal breeding has been carried out by an empirical trial and error process. In this study, we used a different approach by mapping quantitative trait loci (QTLs) controlling culture production and quality within the framework of the genetic linkage map of P. ostreatus. Ten production traits and four quality traits were studied and mapped. The production QTLs identified explain nearly one-half of the production variation. More interestingly, a single QTL mapping to the highly polymorphic chromosome VII appears to be involved in control of all the productivity traits studied. Quality QTLs appear to be scattered across the genome and to have less effect on the variation of the corresponding traits. Moreover, some of the new hybrid strains constructed in the course of our experiments had production or quality values higher than those of the parents or other commercial strains. This approach opens the possibility of marker-assisted selection and breeding of new industrial strains of this fungus.
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Rout, Amruta, Deepak Bbvl, and Bibhuti B. Biswal. "Optimal trajectory generation of an industrial welding robot with kinematic and dynamic constraints." Industrial Robot: the international journal of robotics research and application 47, no. 1 (October 12, 2019): 68–75. http://dx.doi.org/10.1108/ir-06-2019-0137.
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Purpose This paper aims to present an optimal trajectory planning for industrial MOTOMAN MA1440A gas metal arc welding system. A new and efficient evolutionary algorithm, enhanced multi-objective teaching learning-based optimization (EMOTLBO) method, i.e. TLBO with non-dominated sorting approach has been proposed to obtain the optimal joint trajectory for the defined weld seam path. Design/methodology/approach The joint trajectory of the welding robot need to be computed in an optimal manner for proper torch orientation, smooth travel of the robot along the weld path and for achieving higher positional accuracy. This can be achieved by limiting the kinematic and dynamic variations of the robot joints like joint jerks, squared acceleration and torque induced in the joints while travel of the robot along the weld path. Also, the robot travel should be done within minimum possible time for maintaining productivity. This leads to a multi-objective optimization problem which needs to be solved for maintaining proper orientation of the robot end effector. EMOTLBO has been proposed to obtain the Pareto front consisting of optimal solutions. The fuzzy membership function has been used to obtain the optimal solution from the Pareto front with best trade-off between objectives. Findings The proposed method has been implanted in MATLAB R2017a for simulation results. The joint positions have been used to program the robot for performing welding operation along the weld seam. From the simulation and experimental results, it can be concluded that the proposed approach can be effectively used for optimal trajectory planning of MOTOMAN MA 1440 A arc welding robot system as a very smooth and uniform weld bead has been obtained with maximum weld quality. Originality/value In this paper, a novel approach for optimal trajectory planning welding arc robot has been performed. Though trajectory planning of industrial robots has been done before, it has not been done yet for welding robot. The objectives are formulated taking in consideration of requirement of welding process like minimization of joint jerks and torques induced during welding operation due to travel of robot with the effect of arc spatter, minimization of squared acceleration for maintaining constant joint velocity and finally minimization of total travel time for maintaining productivity.
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Asil Bulgak, Akif. "Impact of quality improvement on optimal buffer designs and productivity in automatic assembly systems." Journal of Manufacturing Systems 11, no. 2 (January 1992): 124–36. http://dx.doi.org/10.1016/0278-6125(92)90043-f.
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Kurchaeva, E. E., and A. V. Vostroilov. "The efficiency of use of feed synbiotic supplement the open Prostor resources of the rabbit." Proceedings of the Voronezh State University of Engineering Technologies 81, no. 3 (December 20, 2019): 50–56. http://dx.doi.org/10.20914/2310-1202-2019-3-50-56.
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The use of probiotic additives in the livestock industry, including rabbit breeding, contributes to the normalization of the microbiocenosis of the animal body, as well as their resistance to pathogenic microflora, which ultimately affects the increase in meat productivity and meat quality. The influence of probiotic additive "Prostor" on the productivity, chemical composition and biological value of rabbit meat was studied. The influence of probiotic - sorbent complexes on the number of rabbits (males) of the hybrid form "Hiplus" of the French selection at the age of 45 days in the conditions of the industrial complex of LLC "Lipetsk rabbit" of the Khlevensky district of the Lipetsk region, which were divided into control and experimental groups by the method of pairs-analogues, was studied. The control group of rabbits received the main diet, consisting of feed PZK-90, rabbits 1 experimental group received feed PZK-92-60-18, which was introduced synbiotic " Prostor " in a dosage of 0.5 g/kg of feed, and rabbits 2 experimental group 1 g/ kg of feed, respectively. Meat quality was assessed at the age of 105 days after control slaughter in the amount of 3 heads from each group. Morphological composition data showed that the mass of the muscular tissue of the rabbits of the 1st and 2nd experimental groups was superior to the rabbits of the control group by 12.17 and 23.84%, respectively. Analysis of the chemical and amino acid composition of muscle tissue showed that the use of feed additives "Prostor " in a dosage of 1.0 g per kg of feed has a positive effect on meat productivity, and the quality of rabbit meat, which opens up prospects for the use of these drugs in the rabbit industry.
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Sahu, Nitin Kumar, Atul Kumar Sahu, and Anoop Kumar Sahu. "Cluster approach integrating weighted geometric aggregation operator to appraise industrial robot." Kybernetes 47, no. 3 (March 5, 2018): 487–524. http://dx.doi.org/10.1108/k-11-2016-0332.
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Purpose Robot appraisement under various dimensions and directions is a crucial issue in real-time manufacturing scenario. Logistic robots are programable-independent movable devices capable of transporting stuffs in a logistic cycle. The purpose of this paper is to opt for the most economical robot under chains of criteria, which is always considered as a sizzling issue in an industrial domain. Design/methodology/approach The authors proposed a cluster approach, i.e. ratio analysis, reference point analysis and full mutification form, embedded type-2 fuzzy sets with weighted geometric aggregation operator (WGAO) to tackle the elected problem of industrial robot. The motive to use WGAO coupled with type-2 fuzzy sets is to effectively undertake the uncertainty associated with comprehensive information of professionals against defined dimensions. Furthermore, the cluster approach is used to carry out the comparative analysis for evaluating robust scores against candidate robot’s manufacturing firms, considering 59 crucial beneficial and non-beneficial dimensions. A case research study is carried out to demonstrate the validity of the proposed approach. Findings The most challenging task in real-time manufacturing scenario is robot selection for a particular industrial application. This problem has become more complex in recent years because of advanced features and facilities that are continuously being incorporated into the robots by different manufacturers. In the past decade, robots have been selected in accordance with cost criteria excluding other beneficial criteria, which results in declined product quality, customer’s expectation, ill productivity, higher deliver time, etc. The proposed research incorporates the aforesaid issues and provides the various important attributes needed to be considered for the optimum evaluation and selection of industrial robots. Research limitations/implications The need for changes in the technological dimensions (speed, productivity, navigation, upgraded product demands, etc.) of robot was encountered as a hardship work for managers to take wise decision dealing with a wide range of availability of robot types and models with distinct features in the manufacturing firms. The presented work aids the managers in taking their decisions effectively while dealing with the aforesaid circumstances. Originality/value The proposed work suggests chains of dimensions (59 crucial beneficial and non-beneficial dimensions) that can be used by managers to measure the economic worth of robot to carry out logistic activities in updated manufacturing environment. The proposed work evolves as an effective cluster approach-embedded type-2 fuzzy sets with WGAO to assess manufacturing firms under availability of low information.
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Ezema, Longinus S., Elochukwu C. Ifediora, Akande A. Olukunle, and Nnaemeka C. Onuekwusi. "Design and Implementation of an Esp32-Based Smart Embedded Industrial Poultry Farm." European Journal of Engineering and Technology Research 6, no. 3 (April 15, 2021): 38–43. http://dx.doi.org/10.24018/ejers.2021.6.3.2397.
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Many poultry farmers are performing diverse operations manually. They, therefore, experience a huge financial loss as a result of their inability to properly automate the monitoring and control of environmental factors such as temperature, humidity, air quality, and to ensure an adequate supply of light and water. These factors adversely affect the chicks and lead to respiratory, digestive, and behavioural disorders. This affects the chicks’ food intake and leads to an increase in mortality rate and chances of diseases. Therefore, this paper seeks to address these factors by developing an embedded poultry farm. The system was developed using an advanced yet low-cost and low-power System-on-Chip offering WiFi baseband processor and a plethora of peripheral interfaces for the actuators and sensors while Arduino emulator in Proteus 8 was the tool used for the design simulation. The system when tested was able to sense environmental parameter status wirelessly and responds accordingly to regulate and maintain an optimum condition for improved health condition for the chicks. The automated system will help for the purpose of improving productivity and environmental or climatic conditions in the poultry farm, making it conducive for the broiler chicks.
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Moreno Díaz, María, Valeriano Domenech García, Carmen Avilés Ramírez, Francisco Peña Blanco, Francisco Requena Domenech, and Andrés Martínez Marín. "Effects of A Concentrate Rich in Agro-Industrial By-Products on Productivity Results, Carcass Characteristics and Meat Quality Traits of Finishing Heifers." Animals 10, no. 8 (July 30, 2020): 1311. http://dx.doi.org/10.3390/ani10081311.
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Finishing diets in intensive beef production systems are mainly based on cereals, which does not take advantage of the capacity of the ruminant digestive system to digest fibrous feeds, cannot be considered sustainable and does not contribute to the circular bioeconomy. Our aim was to investigate the effects of an alternative concentrate rich in agro-industrial by-products for finishing crossbred Limousine heifers. Four pens with 12 heifers and four pens with 13 heifers were randomly allocated to one of two treatments: control (CON), a commercial concentrate with a 43.3% cereal composition, and alternative (ALT), a concentrate with a composition of 22% cereals and 73.5% agro-industrial by-products. Growth performance data were collected along the 91 days of the experimental period. Carcass characteristics were collected after slaughter and 24 h later. Vacuum-packaged samples from longissimus muscle were aged for 7, 21 or 28 days to study meat quality traits. Feed intake was higher and feed conversion rate was poorer in the ALT treatment, but no differences were found in average daily gain and feeding costs. Treatment had no effects on any of the measured carcass traits (grading, hot and cold carcass weight, dressing out, chilling losses, subcutaneous fat depth, pH, temperature and lean and fat colour) nor on the meat quality traits (drip loss, cooking loss, shear force, oxidative stability, chromatic indices and pigment contents). Ageing time decreased drip loss and shear force, increased lightness and did not affect redness or surface colour stability. In conclusion, feeding crossbred Limousine heifers a finishing diet rich in agro-industrial by-products did not have any negative effects on performance, carcass and meat quality traits, which might be considered positive from the point of view of sustainability of beef production. Under the conditions assayed, ageing for 21 and 28 days improved tenderness of meat, without detrimental effects on oxidative stability or traits related to visual acceptability.
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Pahlevanyan, A., G. Martirosyan, L. Tadevosyan, and I. Vardanian. "Change of Melon Agrobiological Indicators Depending on Feeding Area of Plants." Bulletin of Science and Practice 7, no. 2 (February 15, 2021): 67–74. http://dx.doi.org/10.33619/2414-2948/63/06.
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The purpose of this work is to study and identify the optimal method of sowing and plant feeding surface in seed-production of melon crop, providing a high yield of healthy varietal seeds with a low self-cost. The experiments were carried out in 2018–2020. on the experimental fields of the Scientific Center of Vegetable and Industrial Crops of the Ministry of Economy of the Republic of Armenia. The influence of the sowing scheme 200+80/2×60, 200+80/2×80 and 200+80/2×100 cm on phenological and quality indicators, fruit and seed productivity, average fruit weight, and resistance to diseases was studied. The study object was mid-early ripening melon variety Arpi, which is distinguished by high productivity and taste quality. The control was the sowing scheme 200+80/2×80 cm, which is generally accepted in the agricultural technology of melon cultivation in the Ararat valley. It was found that in case of low-density planting of plants (1.4 m2), the weight of one fruit is the heaviest (4.0 kg), but the productivity of the fruits is reduced by 11.6% in comparison with the control, and in case of high-density planting by 19.3%. Meanwhile, as the feeding area of one plant increases, in relation to the total yield the marketable yield increases, respectively 92.3%; 94.1% and 95.3%. The results of the experiments allow us to state the fact that high density of the seed producing field (feeding area 0.84 m2) contributes to an increase of seed yield by 27.3% compared to the control, to some extent reducing the self cost of seeds, however significant changes in quality indicators of the Arpi variety were not found. In its turn, early diagnosis of diseases based on the modern PCR method allows to take protective measures in time and accordingly contributes to the production of healthy seeds.
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Nee, A. Y. C., A. Senthil Kumar, and Z. J. Tao. "An intelligent fixture with a dynamic clamping scheme." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 214, no. 3 (March 1, 2000): 183–96. http://dx.doi.org/10.1243/0954405001517577.
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Both proper fixture design and optimum fixturing execution are crucial to workpiece quality assurance in manufacturing. This paper deals with an integrated approach to fixturing problems and, in particular, a ‘live’ fixture with sensory feedback and on-line fixturing control strategy to perform an optimal fixturing operation. The framework of an integrated fixture design procedure is first presented. The functions and structure of an intelligent fixture are proposed. The prototype intelligent fixture with dynamic clamps capable of delivering accurate but varying clamping intensity is developed. This novel set-up has been proven to be effective for workpiece quality improvement and productivity enhancement through machining experiments on thin-walled workpieces.
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Hiraoka, Leslie S. "Reconfiguring Supply Chains for a Global Automotive Industry." International Journal of Information Systems and Supply Chain Management 4, no. 4 (October 2011): 1–17. http://dx.doi.org/10.4018/jisscm.2011100101.
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As the industrial landscape is altered by emerging markets like China and India and the bankruptcy of Detroit automakers and their parts suppliers, motor vehicle firms are reconfiguring their supply chains in order to be cost-competitive on a global basis. Backup capacity and cross-docking are being incorporated into just-in-time delivery systems in an attempt to keep car prices affordable for first-time buyers. This will entail a rebuilding of the global alliances between automakers and key component suppliers that lead to stringent quality standards, adhered-to-delivery schedules, and productivity increases which are needed to keep operating, procurement, and distribution costs under control.
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Orlova, Ekaterina V. "Innovation in Company Labor Productivity Management: Data Science Methods Application." Applied System Innovation 4, no. 3 (September 17, 2021): 68. http://dx.doi.org/10.3390/asi4030068.
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The article considers the challenge of labor productivity growth in a company using objective data about economic, demographic and social factors and subjective information about an employees’ health quality. We propose the technology for labor productivity management based on the phased data processing and modeling of quantitative and qualitative data relations, which intended to provide decision making when planning trajectories for labor productivity growth. The technology is supposed to use statistical analysis and machine learning, to support management decision on planning health-saving strategies directed to increase labor productivity. It is proved that to solve the problem of employees’ clustering and design their homogeneous groups, it is properly to use the k-means method, which is more relevant and reliable compared to the clustering method based on Kohonen neural networks. We also test different methods for employees’ classification and predicting of a new employee labor productivity profile and demonstrate that over problem with a lot of qualitative variables, such as gender, education, health self-estimation the support vector machines method has higher accuracy.