scholarly journals Standard Maintenance Practice for Feed Pellet Operation

2020 ◽  
Vol 3 (12) ◽  
pp. 56-58
Author(s):  
Sreenivasa Rao Pagolu
Keyword(s):  
Manufacturing Industry ◽  
Animal Feed ◽  
Manufacturing Industries ◽  
Practical Implementation ◽  
Feed Manufacturing ◽  
Milling Operation ◽  
Maintenance Practice ◽  
Feed Pellet ◽  
Feed Mill ◽  
Good Standard

Plant Engineering, Maintenance, Repair and over hauling are most important in manufacturing industries. The aim of this paper is to identify and suggest good standard maintenance practice for feed milling operation in an animal feed manufacturing unit. It derives various results based on practical implementation in feed mill operation and data provided are an actual drawn in feed mill in a feed manufacturing industry. The outcome is discussed and studied in compare with standard maintenance practices.

scholarly journals Antimicrobial profile of Salmonella enterica serotype Choleraesuis from free-range swine in Kakamega fish market, western Kenya

2014 ◽  
Vol 8 (11) ◽  
pp. 1381-1390 ◽  
Author(s):  
David M Onyango ◽  
Violet Mmbone Ndeda ◽  
Sarah A Wandili ◽  
Sifuna A Wawire ◽  
Phillip Ochieng
Keyword(s):  
Salmonella Enterica ◽  
Antimicrobial Agents ◽  
Animal Feed ◽  
Manufacturing Industries ◽  
Intracellular Pathogen ◽  
Isolation And Identification ◽  
Economic Implications ◽  
Western Kenya ◽  
Feed Manufacturing ◽  
Resistance Markers

Introduction: Salmonella enterica subspecies enterica serovar Choleraesuis is a host-adapted, facultative, intracellular pathogen that causes swine paratyphoid. Its antimicrobial resistance presents a challenge to feed manufacturing industries. However, stopping antibiotics in animal feed would have economic implications for the industry. Methodology: Conventional microbial methods for isolation and identification of S. Choleraesuis were employed. The isolates were subjected to screening against 17 antimicrobial agents and genotyping of resistance markers by PCR. The data were then analyzed and presented in percentages. Results: Phenotypically, 43 out of 95 isolates showed multidrug resistance. Among the 17 antibiotics tested, resistance was observed as follows: sulphonamides (45.2%), nalidixic acid (44.25%), tetracycline (42%), ampicillin (36.8%), erythromycin (34.7%), carbenicillin (31.5%), chrolamphenical (28.4%), gentamicin (27.3%), kanamycin (24.2%), spectinomycin (21%), sulfamethoxazole-trimethoprim (16.8%), streptomycin (12.6%), cephalothion (8.4%), ofloxacin (5.2%), ciprofloxacin (4.2%), and norfloxacin (4.2%). Fifty-two isolates were susceptible to the antimicrobial agents tested. A total of 3.1% of the isolates had the integron gene pattern combination of dfrA2-aadA2 (2100 bp), dfrA12 (2100 bp); 4.2% had dfrA12-aadA2-sulI (2100 bp); 2.1% had dfrA12-aadA2 (2100 bp); and 1% had dfrA2-aadA2-sulI (2100 bp), oxa1-aadA2 (1500 bp), dfrA12-aadA2-sulI, and blaPSE (2100 bp). Conclusions: The isolated S. Choleraesuis were resistant to more than 10% of the antimicrobial agents used in this study. Appropriate surveillance is warranted to gain more information about the epidemiology, as stopping antibiotics in animal feed would have economic implications for the industry.

scholarly journals Using a Novel Grey DANP Model to Identify Interactions between Manufacturing and Logistics Industries in China

2018 ◽  
Vol 10 (10) ◽  
pp. 3456 ◽  
Author(s):  
Peng Jiang ◽  
Yi-Chung Hu ◽  
Ghi-Feng Yen ◽  
Hang Jiang ◽  
Yu-Jing Chiu
Keyword(s):  
Manufacturing Industry ◽  
Multiple Criteria Decision Making ◽  
Value Added ◽  
Manufacturing Industries ◽  
Direct Influence ◽  
Key Factors ◽  
Logistics Industry ◽  
Influence Matrix ◽  
Factors Affecting ◽  
Two Factors

As a crucial part of producer services, the logistics industry is highly dependent on the manufacturing industry. In general, the interactive development of the logistics and manufacturing industries is essential. Due to the existence of a certain degree of interdependence between any two factors, interaction between the two industries has produced a basis for measurement; identifying the key factors affecting the interaction between the manufacturing and logistics industries is a kind of decision problem in the field of multiple criteria decision making (MCDM). A hybrid MCDM method, DEMATEL-based ANP (DANP) is appropriate to solve this problem. However, DANP uses a direct influence matrix, which involves pairwise comparisons that may be more or less influenced by the respondents. Therefore, we propose a decision model, Grey DANP, which can automatically generate the direct influence matrix. Statistical data for the logistics and manufacturing industries in the China Statistical Yearbook (2006–2015) were used to identify the key factors for interaction between these two industries. The results showed that the key logistics criteria for interaction development are the total number of employees in the transport business, the volume of goods, and the total length of routes. The key manufacturing criteria for interaction development are the gross domestic product and the value added. Therefore, stakeholders should increase the number of employees in the transport industry and freight volumes. Also, the investment in infrastructure should be increased.

Sustainability assessment in the manufacturing industry: a review of recent studies

2018 ◽  
Vol 25 (8) ◽  
pp. 3162-3179 ◽  
Author(s):  
Shamraiz Ahmad ◽  
Kuan Yew Wong
Keyword(s):  
Manufacturing Industry ◽  
Sustainability Assessment ◽  
Manufacturing Sector ◽  
Social Indicators ◽  
Sustainable Manufacturing ◽  
Manufacturing Industries ◽  
Bottom Line ◽  
Content Type ◽  
The Status ◽  
Different Levels

Purpose The purpose of this paper is to review and analyze the recent sustainability assessment studies in the manufacturing industry from the triple-bottom-line (TBL) perspective. This paper aims to depict the status quo of practical sustainability assessment, summarize the different levels and boundaries of evaluation, and highlight the difficulties and further improvements needed to make the assessment more effective in the manufacturing industry. Design/methodology/approach Four keywords, namely, sustainability assessment, sustainable manufacturing, TBL and green production, were used to explore and find the relevant articles. First, this paper systematically reviewed the studies and analyzed the different levels and boundaries of sustainability assessment. Following this, the reviewed studies were critically discussed along with their merits and shortcomings. Findings The review showed that most of the sustainability assessment studies were conducted on product, company and process levels in the manufacturing industry. Nevertheless, there is still a need to focus more on plant and process level assessments to achieve the TBL objectives. Environmental assessment is comparatively matured in manufacturing industries. However, from the economic and social viewpoints, only cost analysis and workers’ safety, respectively, were considered in most of the studies. The economic and social indicators need to be more inclusive and should be validated and standardized for manufacturing industries. Originality/value Unlike previous sustainability assessment reviews in manufacturing industries which were mostly based on life cycle assessment, this paper has included environmental, social and economic aspects in one comprehensive review and focused on recent studies published from 2010 to 2017. This paper has explored the recent sustainability assessment trends and provided insights into the development of sustainability assessment in the manufacturing sector.

scholarly journals A Factory Analysis on the Proportion of Defects Reduction in The Animal Feed Pellet Production Process using Design of Experiment Analysis

2019 ◽  
Vol 3 (2) ◽  
pp. 26-33
Author(s):  
Keyword(s):  
Production Process ◽  
Failure Modes ◽  
Animal Feed ◽  
Fractional Factorial ◽  
Pareto Chart ◽  
Manufacturing Defects ◽  
Root Cause ◽  
Pellet Production ◽  
Feed Pellet

The aim of this research is to reduce a number of defects during a feed pellet production process to improve customer satisfaction. A factory case study produces the feed pellets for several species such as food for pigs, chickens, and ducks. Production data from January to June 2017 manufacturing found that the manufacturing defects rate were about 3.32%. The data showed that the overall defects originated from different problems; 1) cracked or broken food; 2) high humidity; 3) distorted of product color; and 4) an ingredient error, respectively. Statistical methods, design analysis, and cause analysis techniques e.g. the Ishikawa diagram, Pareto chart, and FMEA (Failure Mode and Effects Analysis) were applied to help the factory to identify the main root cause of the defects and the potential failure modes of the factory case study. Due to an increasing number of complaints, this study only concentrated on the duck feed pellet production process. The study was divided into two parts: finding the root cause of the defects, which are the most critical factors for further analysis, and applying an experimental statistical design to decrease the number of defects during the duck pellet production process. The problem with cracked or broken pellets (dust) was found as the main factor affecting the production defects. Results showed that the main factors contributing to the amount of dusk in the duck feed productions came from three factors as follow: the thickness of die, distance between compression rollers and die, and time and temperature of mill machine needed during compressing the duck feed pellet production. Both the fractional factorial experimental design, 2k and 3k, were used to evaluate the influence of each factor on the duck feed production defects. The results by using the factorial 2K experimental show that the most important variable in duck pellets production were thickness of the die, distance between compression rollers and die, and temperature of mill machine needed during compressing the duck feed pellet production while time was not an interaction effect in this problem. The 3k factorial design was used to determine the interaction effects for the duck pellets production process. The experiment was ran and tested for 3 months. The final outcomes showed a significant reduction of defects from 2.51% to 1.09% (P<0.01). The results indicated that thickness -20 mm. of the die, 0.05 mm of distance between compression rollers and die, and 95 degree Celsius of temperature of mill machine needed during compressing the duck feed pellet production would be the most appropriate set of pelleting machine for the duck production process case study.

scholarly journals Approaches to assessing the level of innovation development in manufacturing industries

2020 ◽  
Vol 220 ◽  
pp. 01027
Author(s):  
Vitaly Makoveev ◽  
Liliya Mukhametova
Keyword(s):  
Regression Model ◽  
Socioeconomic Factors ◽  
Manufacturing Industry ◽  
Energy Sector ◽  
Machine Building ◽  
Innovative Activity ◽  
Manufacturing Industries ◽  
Innovation Development ◽  
Factor Regression

Sustainable long-term development of the energy sector is impossible without a developed manufacturing industry and especially machine-building enterprises. The article offers a method for assessing the level of innovation development in the manufacturing industry and identifies the factors that have the greatest impact on the development of the process of creating and implementing innovations in this sector. A multi-factor regression model is constructed to determine the degree of influence of various socioeconomic factors on the level of development of innovative activity in manufacturing industries, as well as to develop proposals and recommendations for its activation.

scholarly journals Improvement of the innovation management system in the manufacturing industry

2020 ◽  
Vol 220 ◽  
pp. 01048
Author(s):  
Vitaly Makoveev ◽  
Liliya Mukhametova
Keyword(s):  
Regression Model ◽  
Manufacturing Industry ◽  
Innovation Management ◽  
Machine Building ◽  
Manufacturing Industries ◽  
Economic Factors ◽  
Innovation Development ◽  
Factor Regression ◽  
Socio Economic Factors

Sustainable long-term development of the energy sector is impossible without a developed manufacturing industry and especially machine-building enterprises. The article identifies the factors that have the greatest impact on the development of innovation in the manufacturing industry. A multi-factor regression model is constructed to determine the degree of influence of various socio-economic factors on the level of innovation development in manufacturing industries. An organizational and economic mechanism aimed at enhancing innovation in the manufacturing industry and increasing the competitiveness of the products of enterprises in this sector is proposed.

scholarly journals A systematic literature review of implementation six sigma in manufacturing industries

2020 ◽  
Vol 12 (3) ◽  
pp. 319
Author(s):  
Indra Setiawan ◽  
Humiras Hardi Purba ◽  
Fransisca Debora
Keyword(s):  
Literature Review ◽  
Six Sigma ◽  
Manufacturing Industry ◽  
Service Industry ◽  
Manufacturing Industries ◽  
Industrial Sectors ◽  
Long Time ◽  
Training And Research ◽  
And Control ◽  
Six Sigma Approach

The Six Sigma approach has received a lot of attention in various industrial sectors from the manufacturing industry to the service industry. More specific knowledge about Six Sigma has grown rapidly. Much of the training and research on Six Sigma is carried out in various industries and university. This literature review related to Six Sigma purpose to provide an overview of Six Sigma implementation in the manufacturing industries.  The Six Sigma approach that has been introduced and implemented for a long time is DMAIC (Define, Measure, Analyze, Improve, and Control). This paper discusses the published literature related to Six Sigma ranging from 2015 to 2020. This paper involves the study review of 50 papers related to the implementation of Six Sigma of known database search including Elsevier, Science Direct, Emerald Insight and Google Scholars. This literature review contains results from a variety of different perspectives. The perspective includes the focus of the industry, the focus of the number of distribution by country, the focus of the year of publication and the focus of the number of publishers. In fact, this is useful for all types of manufacturing industries to find solutions to problems. The paper also provides advantages for researchers next to add to the literature.

Validity and reliability of lean manufacturing frameworks

2014 ◽  
Vol 5 (4) ◽  
pp. 361-391 ◽  
Author(s):  
Naga Vamsi Krishna Jasti ◽  
Rambabu Kodali
Keyword(s):  
Frequency Analysis ◽  
Lean Manufacturing ◽  
Manufacturing Industry ◽  
Research Work ◽  
Middle Level ◽  
Manufacturing Industries ◽  
Validity And Reliability ◽  
Content Type ◽  
Survey Tool ◽  
Industry Sector

Purpose – The purpose of this paper is to investigate, validity and reliability analysis on existing Lean manufacturing (LM) frameworks when applied to Indian organizations. LM is one of the best manufacturing strategies that are used by manufacturing plant managers to improve manufacturing capabilities. Design/methodology/approach – In the present research work, a questionnaire-based survey was used to examine 35 LM frameworks. The study targeted respondents ranging from top- and middle-level management personnel in Indian manufacturing industry. The sample includes organizations in a variety of industries ranging from automobile, electronics, engineering, process and textile industries products. The survey tool was prepared with team of 12 members i.e. six academicians and six professionals from manufacturing industry environment. The study received 186 responses from various sectors of manufacturing industry, 180 surveys were usable resulting in a response rate of 23.90 per cent. Factor analysis was conducted to check unidimentionality of the framework. Cronbach’s alpha is calculated to find reliability of each framework’s. Lastly, frequency analysis was used to recognize familiar constructs of LM on the chosen framework. Findings – This study has identified that most of the LM frameworks revealed a high level of reliability. When the study has examined further advance about unidimensionality with respect to the construct, i.e. the LM it measures, it confirmed 11 frameworks were revealing unidimensionality. The frequency analysis was evident that a greater part of the constructs has a high mean score and mode. Finally, the research concludes that there is requirement for a novel framework to Indian manufacturing industry to stay in competition with global manufacturing industries. Research limitations/implications – Cross-sectional data from manufacturing industries and India (only one country) is used with sample size restricted to 180 only, and it would be interesting to test these frameworks for more than one industry sector and country. Practical implications – The present work tries to find the suitability of the presented LM frameworks to Indian manufacturing industry sector. The authors hoped that the present research would give the information to the management to execute the suitable LM framework in their firm. Originality/value – The present work tries to find the suitability of the presented LM frameworks to Indian manufacturing industry sector. The authors hoped that the present research would give the information to the management to execute the suitable LM framework in their firm.

scholarly journals The Effect of Environmental Performance on Employment: Evidence from China’s Manufacturing Industries

2019 ◽  
Vol 16 (12) ◽  
pp. 2232 ◽  
Author(s):  
Wei Shan ◽  
Jingyi Wang
Keyword(s):  
Environmental Performance ◽  
Manufacturing Industry ◽  
Early Stage ◽  
Correlation Effect ◽  
Economic Benefits ◽  
Manufacturing Industries ◽  
Practical Significance ◽  
Production Scale ◽  
Vector Autoregressive ◽  
The Impact

This research aims to explore the interaction between environmental performance and employment China’s manufacturing industries. Based on the environmental performance of 32 industries in China’s manufacturing industry during 2006–2015, a panel vector autoregressive model was constructed to study the interaction between industry output and employment in clean industries and dirty industries. The dynamic impact and internal transmission mechanism between environmental performance is analyzed. The study found that in the early stage, due to the reduction of production scale, there was a weak and short-term negative correlation effect on employment, and the mutual promotion relationship between economic benefits and employment was unsustainable. In return, employment affects environmental performance, but the effect differs due to the different forms of environmental performance. For dirty industries, the impact of environmental performance on employment through technical effects is more significant and, thus, a win–win situation of ecological environment and employment stability will be achieved. This research has practical significance regarding how to scientifically and effectively carry out environmental regulation and green management.

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