scholarly journals “Optimization of Plant Layout in Manufacturing Industry”

2019 ◽  
Vol 8 (2) ◽  
pp. 3115-3118
Keyword(s):  
Manufacturing Industry ◽  
Research Work ◽  
Production Performance ◽  
Plant Layout ◽  
Operation Process ◽  
Proposed Model ◽  
Systematic Layout Planning ◽  
Increase Productivity ◽  
World Class ◽  
Small Industries

The world’s globalization and consolidation result in increased competition for manufacturing industry. A factory must always attempt to achieve world class manufacturing and quality to survive long in the growing market. Therefore it is important for a MSME sector (Manufacturing Industry) to develop their way of working continuously as per World Class Standards. In this research work, current layout of a manufacturing MSME industry is studied and a new layout is developed based on the systematic layout planning to reduce the meter movement, searching time and increase productivity. The company has presently working on processes layout. The number of equipment/machineries available and meter movement have been analyzed. The detailed study of the plant layout such as operation process chart, activity relationship chart and the relationship between equipment and area has been investigated. The new plant layout has been designed and compared with existing plant layout with the help of Spaghetti Diagram. The new plant layout shows that distance and overall cost of material flow from stores to dispatch area are significantly decreased. The implementation of proposed model will help in the overall improvement of production performance of manufacturing industry. This research work also helps to other small industries having such type process layout in increasing their productivity and achieving 100 % efficiency.

Systematic Layout Planning to Assist Plant Layout: Case Study Pulley Factory

2011 ◽  
Vol 110-116 ◽  
pp. 3952-3956 ◽  
Author(s):  
Anucha Watanapa ◽  
Wisitsree Wiyaratn
Keyword(s):  
Optimum Design ◽  
Surface Finish ◽  
Material Flow ◽  
Activity Relationship ◽  
Plant Layout ◽  
Layout Planning ◽  
Space Requirement ◽  
Operation Process ◽  
Systematic Layout Planning

In this study, the application of a systematic plant layout planning (SLP) to assist the optimum design of process areas and locations is proposed. The number of machines and space requirement in pulley factory is determined. The operation process chart, flow of material and activity relationship chart have been investigated. The relationships between machines, operation sections and material flow are used to determine the suitable position of each activity. The SLP method has been employed to design the two alternative plant layouts and compare the performances between new layout and present layout in term of material flow. The new plant layout is modified by moving a disassembly and surface finish that significantly decrease the distance of material flow, so it is effective increasing production.

An eco-friendly closed loop supply chain network with multi-facility allocated centralized depots for bidirectional flow in a battery manufacturing industry

2019 ◽  
Vol 17 (1) ◽  
pp. 131-159
Author(s):  
S. Umar Sherif ◽  
P. Sasikumar ◽  
P. Asokan ◽  
J. Jerald
Keyword(s):  
Supply Chain ◽  
Manufacturing Industry ◽  
Closed Loop ◽  
Research Work ◽  
Supply Chain Network ◽  
Closed Loop Supply Chain ◽  
Content Type ◽  
Proposed Model ◽  
Bidirectional Flow ◽  
Single Objective

Purpose Due to the economic benefits and environmental awareness, most of the battery manufacturing industries in India are interested to redesign their existing supply chain network or to incorporate the effective closed loop supply chain network (CLSCN). The purpose of this paper is to develop CLSCN model with eco-friendly distribution network and also enhance recycling to utilize recycled lead for new battery production. The existing CLSCN model of a battery manufacturing industry considered for case study is customized for attaining economic benefit and environmental safety. Hence, single objective, multi-echelon, multi-period and multi-product CLSCN model with centralized depots (CD) is developed in this work to maximize the profit and reduce the emission of CO2 in transportation. Design/methodology/approach The proposed CD has the facility to store new batteries (NB), scrap batteries (SB) and lead ingot. The objective of the proposed research work is to identify potential location of CD using K-means clustering algorithm, to allocate facilities with CD using multi-facility allocation (MFA) algorithm and to minimize overall travel distance by allowing bidirectional flow of materials and products between facilities. The proposed eco-friendly CLSCN-CD model is solved using GAMS 23.5 for optimal solutions. Findings The performance of the proposed model is validated by comparing with existing model. The evaluation reveals that the proposed model is better than the existing model. The sensitivity analysis is demonstrated with different rate of return of SB, different proportion of recycled lead and different type of vehicles, which will help the management to take appropriate decision in the context of cost savings. Originality/value This research work has proposed single objective, multi echelon, multi period and multi product CLSCN-CD model in the battery manufacturing industry to maximize the profit and reduce the CO2 emission in transportation, by enhancing the bidirectional flow of materials/products between facilities of entire model.

Research on the Facilities Layout Planning in MTO Manufacturing Industry Based on Genetic Algorithm

2013 ◽  
Vol 842 ◽  
pp. 695-702
Author(s):  
Ying Wang ◽  
You Rong Li ◽  
Yu Qiong Zhou
Keyword(s):  
Genetic Algorithm ◽  
Manufacturing Industry ◽  
Design Method ◽  
Facility Layout ◽  
Optimization Method ◽  
Market Demand ◽  
Layout Planning ◽  
Manufacturing Enterprises ◽  
Make To Order ◽  
Systematic Layout Planning

To enlarge production to meet the market demand, its nessasery to improve the present facility layout for MTO (Make-To-Order) manufacturing enterprises. This paper tries to design a optimization method based on genetic algorithm for the facility layout of MTO enterprises. Firstly, SLP (systematic layout planning) was applied to analyze the material and non-material flow interrelation of the workshop. Secondly, a relatively optimum layout was determined after using fuzzy hierarchy estimation to evaluate the schemes. Then the scheme was optimized with genetic algorithm. The result shows that the optimized logistics transport load is obviously less than before. This design method based on genetic algorithm (GA) is proved feasible and effective in the optimization of facility layout.

scholarly journals Design of Cascaded CNN for Medical Image Super Resolution

2021 ◽  
Vol 7 (3) ◽  
pp. 22-29
Author(s):  
Kajol Singh ◽  
Manish Saxena
Keyword(s):  
Neural Networks ◽  
Medical Image ◽  
Research Work ◽  
Super Resolution ◽  
Primary Objective ◽  
Lighting Conditions ◽  
Proposed Model ◽  
Filter Size ◽  
Medical Image Reconstruction ◽  
Image Super Resolution

The images captured through a camera usually belong to over or under exposed conditions. The reason may be inappropriate lighting conditions or camera resolution. Hence, it is of utmost importance to have a few enhancement techniques that could make these artefacts look better. Hence, the primary objective pertaining to the adjustment and enhancement techniques is to enhance the characteristics of an image. The initial numeric values related to an image get distorted when an image is enhanced. Therefore, enhancement techniques should be designed in such a way that the image quality isn’t compromised. This research work is focused on proposed a network design for deep convolution neural networks for application of super resolution techniques. To improve the complexity of existing techniques this work is intended towards network designs, different filter size and CNN architecture. The CNN model is most effective model for detection and segmentation in image. This model will improve the efficiency of medical image reconstruction from LR to HR. The proposed model showed its efficiency not only PET medical images but also on retinal database and achieved advance results as compared to existing works.

scholarly journals Analysis of the Impact Fiscal Fundamentals on Unemployment in Nigeria. Imperatives for Covid 19, Era

2021 ◽  
Vol 04 (05) ◽  
Author(s):  
Patrick Ologbenla ◽  
Keyword(s):  
Unemployment Rate ◽  
Government Expenditure ◽  
Research Work ◽  
Youth Unemployment ◽  
Government Revenue ◽  
Increase Productivity ◽  
Employment Generation ◽  
The Impact ◽  
The Relationship

The study examined the impact of fiscal fundamental on unemployment rate in Nigeria from 1980 to 2020 focusing on COVID-19 imperatives. The research work embraces OLS estimating techniques to estimate the relationship between the variables. The result of the analysis revealed that government expenditure had positive and significant effect on the rate of unemployment. Also government revenue had a positive but insignificant impact on unemployment during. The implication of these findings for COVID-19 is that the narrative which is obtained from the analysis needs to be changed. Government revenue should be made to have significant impact on unemployment. The pandemic has led to a lot of job lost and the unemployment rate in Nigeria has risen by about 55% peaking at 36% youth unemployment rate as at last quarter of 2020. The study therefore, recommends that government should refocus expenditure and revenue in the country in such a way it will target development of infrastructural facilities so as to increase productivity and in turn facilitate employment generation.

scholarly journals IBPS: iBeacons Based Improved Indoor Positioning System

2020 ◽  
Vol 8 (5) ◽  
pp. 3792-3797
Keyword(s):  
Research Work ◽  
Energy Resource ◽  
Smart Phone ◽  
Indoor Positioning ◽  
Small Scale ◽  
Positioning System ◽  
Human Organ ◽  
Proposed Model ◽  
Small Hand ◽  
Indoor Positioning System

Smartphone plays a key role in integrating the entire world into a small hand. This feature made these smartphones as another human organ of many people. One of the main feature in every smart phone is GPS which used to travel new places, to locate and find optimized way to reach their destination. As we aware GPS is an outdoor application, GPS location is not accurate in indoor and small scale areas. This leads to an advanced research to improve the accuracy in GPS positing for the benefit of indoor applications. This research proposes a new iBeacons based Improved Indoor Positioning System for indoor positing application using Bluetooth low energy (BLE) beacons. This model helps the mobile application to find the exact location at micro-level scale. The objective of this research work is to design a potable indoor positing system (IPS) for indoor applications with at least 100m accuracy with in the inbuilt energy resource limitations. The proposed model has been built and verified in all the aspects. The location accuracy and energy efficiency of the proposed model is compared and found better than the existing models

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.

Automated monitoring and assessment of productivity in earthmoving projects

2018 ◽  
Vol 45 (11) ◽  
pp. 958-972 ◽  
Author(s):  
Ashraf Salem ◽  
Osama Moselhi
Keyword(s):  
Data Fusion ◽  
Continuous Monitoring ◽  
Research Work ◽  
Sensor Data ◽  
Fusion Algorithm ◽  
Cost Overruns ◽  
Knowledge Based ◽  
Monitoring Model ◽  
Multi Sensor Data Fusion ◽  
Proposed Model

Continuous monitoring of productivity and assessment of its variations are crucial processes that significantly contribute to success of earthmoving projects. Numerous factors may lead to productivity variations. However, these factors are subjectively identified using manual knowledge-based expert judgment. Such manual recognition process is not only subject to errors but also time-consuming. There is a lack of research work that focuses on near real-time assessment of productivity variation and its effect on cost, schedule and effective utilization of resources in earthmoving projects. This paper presents a customized multi-source automated data acquisition model that acquires data from a variety of wireless sensing technologies. The acquired multi-sensor data are transmitted to a central MySQL database. Then a newly developed data fusion algorithm is applied for truck state recognition, and hence the duration of each earthmoving state. Multi-sensor data fusion facilitates measurement of actual productivity, and consequently the assessment of productivity ratios that support continuous monitoring of productivity variation in earthmoving operations. The developed tracking and monitoring model generates an early warning that supports proactive decisions to avoid schedule delays, cost overruns, and inefficient depletion of resources. A case study is used to reveal the applicability of the proposed model in monitoring and assessing actual productivity and its deviations from planned productivity. Finally, results are discussed and conclusions are drawn highlighting the features of the proposed model.

scholarly journals An Advance Resource Reservation Approach in a Cloud Database Environment

2017 ◽  
Author(s):  
Vinicius Da S. Segalin ◽  
Carina F. Dorneles ◽  
Mario A. R. Dantas
Keyword(s):  
Machine Learning ◽  
Research Work ◽  
Resource Reservation ◽  
Machine Learning Techniques ◽  
Advance Reservation ◽  
Running Time ◽  
Knowing That ◽  
Learning Techniques ◽  
Proposed Model ◽  
Cloud Database

AA well-known challenge with long running time queries in database environments is how much time a query will take to execute. This prediction is relevant for several reasons. For instance, by knowing that a query will take longer to execute than desired, one resource reservation mechanism can be performed, which means reserving more resources in order to execute this query in a shorter time in a future request. In this research work, it is presented a proposal in which the use of an advance reservation mechanism in a cloud database environment, considering machine learning techniques, provides resource recommendation. The proposed model is presented, in addition to some experiments that evaluate benefits and the efficiency of this enhanced proposal.

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