Pub Date : 2018-08-02DOI: 10.1504/IJENM.2018.10014849
S. Mahendran, A. Senthilkumar, R. Jeyapaul
The automobile industries are more competitive and customer demand is volatile. The customers are willing to buy the product at low cost with high quality. So common principle is created to reduce the wastage and increase the efficiency of the industry. Lean manufacturing is the best principle to adopt the manufacturing industry. The main aim of this project is reduce the wastage, cost and increase the productivity of the industry. Using lean tools just in time (JIT), kanban, value stream mapping (current and future state) and man machine chart (current and future) for reduce wastage and cost. In current state value stream map, the waste area is identified. Finally, non-value added time is reduced to 28.7%. The value added time is reduced to 27.84%. The percentage value addition is increased from 3.25% to 3.29%, the total inventory is reduced to 25.07% and man machine ratio is improved as 1.52: 1.26.
{"title":"Analysis of lean manufacturing in an automobile industry - a case study","authors":"S. Mahendran, A. Senthilkumar, R. Jeyapaul","doi":"10.1504/IJENM.2018.10014849","DOIUrl":"https://doi.org/10.1504/IJENM.2018.10014849","url":null,"abstract":"The automobile industries are more competitive and customer demand is volatile. The customers are willing to buy the product at low cost with high quality. So common principle is created to reduce the wastage and increase the efficiency of the industry. Lean manufacturing is the best principle to adopt the manufacturing industry. The main aim of this project is reduce the wastage, cost and increase the productivity of the industry. Using lean tools just in time (JIT), kanban, value stream mapping (current and future state) and man machine chart (current and future) for reduce wastage and cost. In current state value stream map, the waste area is identified. Finally, non-value added time is reduced to 28.7%. The value added time is reduced to 27.84%. The percentage value addition is increased from 3.25% to 3.29%, the total inventory is reduced to 25.07% and man machine ratio is improved as 1.52: 1.26.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"9 1","pages":"129-142"},"PeriodicalIF":0.0,"publicationDate":"2018-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44851453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-02DOI: 10.1504/IJENM.2018.10014847
N. Sivaram
Past and recent disasters, both man made (technological) and natural (non-technological) have produced innumerable casualties and unimaginable harm to life and property. Though the management of factories and the authorities has responded to the challenge and introduced number of measures to minimise the hazards, the real fact is that accident cannot be completely eliminated. For this purpose, it is necessary to prepare an emergency preparedness plan for every administrative or industrial area by the competent authorities. With the help of computer simulation models, knowledge of chemicals'; it's behaviour and availability of input data, it is possible to predict the area affected under different emergency scenarios. Keeping in view the plotting requirement along with linkages of various databases, it has been considered appropriate to use computer aided emergency management system for effective mitigation and response during an industrial disaster. This paper proposes a composition of a computer aided emergency management system.
{"title":"Elements of a computer aided emergency management system","authors":"N. Sivaram","doi":"10.1504/IJENM.2018.10014847","DOIUrl":"https://doi.org/10.1504/IJENM.2018.10014847","url":null,"abstract":"Past and recent disasters, both man made (technological) and natural (non-technological) have produced innumerable casualties and unimaginable harm to life and property. Though the management of factories and the authorities has responded to the challenge and introduced number of measures to minimise the hazards, the real fact is that accident cannot be completely eliminated. For this purpose, it is necessary to prepare an emergency preparedness plan for every administrative or industrial area by the competent authorities. With the help of computer simulation models, knowledge of chemicals'; it's behaviour and availability of input data, it is possible to predict the area affected under different emergency scenarios. Keeping in view the plotting requirement along with linkages of various databases, it has been considered appropriate to use computer aided emergency management system for effective mitigation and response during an industrial disaster. This paper proposes a composition of a computer aided emergency management system.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"9 1","pages":"108"},"PeriodicalIF":0.0,"publicationDate":"2018-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44286484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-02DOI: 10.1504/IJENM.2018.10014850
S. Gopinath, V. Sundaram, R. Sheshathri, K. Narashiman
Small and medium enterprises (SMEs) are the backbone of the developing economy, a pushing force the economy all over the globe involving a large workforce. This study aims to explore the obstacles to implement the effective quality system in Indian SMEs. The current scenario of SMEs, detailed literature survey and experts opinion, initiated the authors to design a conceptual model with six critical factors as an independent variables such as quality tools and techniques, total productive maintenance, quality assurance and control, quality certification, employee training and involvement, safety and environment and two dependent variables such as internal customer satisfaction and external customer satisfaction. The moderating variables are also introduced such as top management commitment and supplier relationship management to study the impact of moderator on the relationship between independent variables and dependent variables. The authors are suggesting this conceptual model implement in SMEs, enhance their overall efficiency and responsiveness.
{"title":"Frame work of conceptual model for quality management in small and medium enterprises","authors":"S. Gopinath, V. Sundaram, R. Sheshathri, K. Narashiman","doi":"10.1504/IJENM.2018.10014850","DOIUrl":"https://doi.org/10.1504/IJENM.2018.10014850","url":null,"abstract":"Small and medium enterprises (SMEs) are the backbone of the developing economy, a pushing force the economy all over the globe involving a large workforce. This study aims to explore the obstacles to implement the effective quality system in Indian SMEs. The current scenario of SMEs, detailed literature survey and experts opinion, initiated the authors to design a conceptual model with six critical factors as an independent variables such as quality tools and techniques, total productive maintenance, quality assurance and control, quality certification, employee training and involvement, safety and environment and two dependent variables such as internal customer satisfaction and external customer satisfaction. The moderating variables are also introduced such as top management commitment and supplier relationship management to study the impact of moderator on the relationship between independent variables and dependent variables. The authors are suggesting this conceptual model implement in SMEs, enhance their overall efficiency and responsiveness.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"9 1","pages":"143-155"},"PeriodicalIF":0.0,"publicationDate":"2018-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41404825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-02DOI: 10.1504/IJENM.2018.10014846
B. T. Varma, Dalveer Singh
Cement industries are one of the growing large scale industries which play as a backbone for developing countries. This paper discusses the analysis of losses and wastage in cement manufacturing process and its rectification using lean tools and methodology mathematically. Employee's psychology varies with every new management planning, so psychology towards new lean management planning is also analysed through questioner to correlate lean management planning satisfaction to stress, job satisfaction, and safety improvement individually using Karl Pearson correlation in SPSS software. The data has been collected from various cement industries at each stage and analysed. Lean management planning resulted in a reduction of wastage in the transportation of mining, over processing and increase in efficiency of the separator in grinding mills, kiln quality control, packing plant efficiency improvement. The correlation analysis also resulted in stress reduction, improvement in job satisfaction and safety conditions with new lean management planning. Finally the result concludes that new lean management planning has positive correlation with the employee's psychology.
{"title":"Lean management planning in Indian cement industries and its effect on industrial psychology","authors":"B. T. Varma, Dalveer Singh","doi":"10.1504/IJENM.2018.10014846","DOIUrl":"https://doi.org/10.1504/IJENM.2018.10014846","url":null,"abstract":"Cement industries are one of the growing large scale industries which play as a backbone for developing countries. This paper discusses the analysis of losses and wastage in cement manufacturing process and its rectification using lean tools and methodology mathematically. Employee's psychology varies with every new management planning, so psychology towards new lean management planning is also analysed through questioner to correlate lean management planning satisfaction to stress, job satisfaction, and safety improvement individually using Karl Pearson correlation in SPSS software. The data has been collected from various cement industries at each stage and analysed. Lean management planning resulted in a reduction of wastage in the transportation of mining, over processing and increase in efficiency of the separator in grinding mills, kiln quality control, packing plant efficiency improvement. The correlation analysis also resulted in stress reduction, improvement in job satisfaction and safety conditions with new lean management planning. Finally the result concludes that new lean management planning has positive correlation with the employee's psychology.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"9 1","pages":"91"},"PeriodicalIF":0.0,"publicationDate":"2018-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42273714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-02DOI: 10.1504/IJENM.2018.10014852
G. Rajesh, P. Malliga
In order to optimise a supply chain, the effective management of suppliers plays a key role. Firms seeking competitive advantage are participating in cooperative supply chain arrangements, such as strategic partnerships, which combine their individual strengths and unique resources. Supplier selection is a multi-criteria decision making problem which includes both qualitative and quantitative factors. In the present scenario environmental criteria should also be given due importance, this further increases the challenge of supplier selection. Generally, decision makers' judgments are often uncertain and cannot be estimated by an exact numerical value. The grey systems theory is a powerful tool to deal with uncertain information. This paper presents a structured model for evaluation and selection of strategic supplier. Stepwise Weight Assessment Ratio Analysis (SWARA) is applied to decision making in order to calculate the relative importance of the criteria. The COmplex PRoportional ASsessment of alternatives with grey relations (COPRAS-G) method is used for supplier evaluation and selection of strategic supplier. A case study is presented to demonstrate the applicability of the proposed model to select a strategic green supplier.
{"title":"Selection of suppliers using Swara and Copras-G","authors":"G. Rajesh, P. Malliga","doi":"10.1504/IJENM.2018.10014852","DOIUrl":"https://doi.org/10.1504/IJENM.2018.10014852","url":null,"abstract":"In order to optimise a supply chain, the effective management of suppliers plays a key role. Firms seeking competitive advantage are participating in cooperative supply chain arrangements, such as strategic partnerships, which combine their individual strengths and unique resources. Supplier selection is a multi-criteria decision making problem which includes both qualitative and quantitative factors. In the present scenario environmental criteria should also be given due importance, this further increases the challenge of supplier selection. Generally, decision makers' judgments are often uncertain and cannot be estimated by an exact numerical value. The grey systems theory is a powerful tool to deal with uncertain information. This paper presents a structured model for evaluation and selection of strategic supplier. Stepwise Weight Assessment Ratio Analysis (SWARA) is applied to decision making in order to calculate the relative importance of the criteria. The COmplex PRoportional ASsessment of alternatives with grey relations (COPRAS-G) method is used for supplier evaluation and selection of strategic supplier. A case study is presented to demonstrate the applicability of the proposed model to select a strategic green supplier.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"9 1","pages":"169-185"},"PeriodicalIF":0.0,"publicationDate":"2018-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48410141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1504/IJENM.2018.10013229
T. Sreeja, J. Jayakumari
A novel single band microstrip patch antenna design is introduced for WiMAX/LTE applications. The proposed antenna has a compact size of 2.7 × 4.5 × 0.076 cm3 and produces the gain of 5.47-8 dBi around the operational band. The antenna consists of T-shaped patch and coaxial feed method is used. This paper presents the antenna design along with the simulated and measured results. Design optimisation and simulation processes are investigated with the help of the Agilent advanced design system electromagnetic simulator that operates based on the numerical technique full-wave method of moment (MoM). The fabricated coaxial feed patch antenna is tested and measured by using spectrum analyser.
{"title":"Design and analysis of compact T shape slotted patch antenna for 4G WiMAX applications","authors":"T. Sreeja, J. Jayakumari","doi":"10.1504/IJENM.2018.10013229","DOIUrl":"https://doi.org/10.1504/IJENM.2018.10013229","url":null,"abstract":"A novel single band microstrip patch antenna design is introduced for WiMAX/LTE applications. The proposed antenna has a compact size of 2.7 × 4.5 × 0.076 cm3 and produces the gain of 5.47-8 dBi around the operational band. The antenna consists of T-shaped patch and coaxial feed method is used. This paper presents the antenna design along with the simulated and measured results. Design optimisation and simulation processes are investigated with the help of the Agilent advanced design system electromagnetic simulator that operates based on the numerical technique full-wave method of moment (MoM). The fabricated coaxial feed patch antenna is tested and measured by using spectrum analyser.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"9 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49274212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1504/IJENM.2018.10013230
Sanjana Mohapatra, Ajit Kumar, Sanjay Mohapatra
There has been significant interest in integration of internet of things (IOT) and healthcare both in academic and the corporate world. This can be seen from the fact by the number of conferences held and number of special issues in journals that have been published. To establish further in this domain, the purpose of this research is two-fold. First it does literature review in healthcare and IOT from 151 papers published from 1998 to 2016. Second, it summarises findings from literature review in two parts. In the first part, it identifies the antecedents that impact both affordable quality healthcare and developing an enterprise network for IOT. In the second part, it integrates factors that affect both affordable healthcares with IOT. The results of this research will be useful for both practitioners and academicians as the paper discusses how to design a IOT based healthcare network that will reduce cost of healthcare while preventing chronic diseases. The paper also shows the limitations of the present research while describing stimuli for further research.
{"title":"From a literature review to a conceptual framework for affordable quality healthcare service using internet of things (IOT) network","authors":"Sanjana Mohapatra, Ajit Kumar, Sanjay Mohapatra","doi":"10.1504/IJENM.2018.10013230","DOIUrl":"https://doi.org/10.1504/IJENM.2018.10013230","url":null,"abstract":"There has been significant interest in integration of internet of things (IOT) and healthcare both in academic and the corporate world. This can be seen from the fact by the number of conferences held and number of special issues in journals that have been published. To establish further in this domain, the purpose of this research is two-fold. First it does literature review in healthcare and IOT from 151 papers published from 1998 to 2016. Second, it summarises findings from literature review in two parts. In the first part, it identifies the antecedents that impact both affordable quality healthcare and developing an enterprise network for IOT. In the second part, it integrates factors that affect both affordable healthcares with IOT. The results of this research will be useful for both practitioners and academicians as the paper discusses how to design a IOT based healthcare network that will reduce cost of healthcare while preventing chronic diseases. The paper also shows the limitations of the present research while describing stimuli for further research.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"9 1","pages":"11"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44017507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1504/IJENM.2018.10013282
N. Mustafa, H. Vennila
The problem of deciding the contribution of each generator in a power system is complex. Where some generators are more cost effective, others have cleaner operation. Right choice of generators could save thousands of dollars in operating cost or prevent release of several tons of noxious fumes like NO2 and SO2 annually. Rising complexity of modern power systems and special efficiency improvement methods like valve point loading, demand newer means to find this vital balance between cost and emission. This paper aims to find a solution to this problem by the use of an algorithm inspired by the flight pattern of moths. Like a moth drawn to a flame, this algorithm seeks to minimise both cost as well as emission. The standard IEEE 30 bus test system is considered as the control case and the results obtained are compared with other such algorithms to demonstrate the effectiveness of MFO.
{"title":"A meta-heuristic, moth inspired algorithm for combined economic and environmental power dispatch","authors":"N. Mustafa, H. Vennila","doi":"10.1504/IJENM.2018.10013282","DOIUrl":"https://doi.org/10.1504/IJENM.2018.10013282","url":null,"abstract":"The problem of deciding the contribution of each generator in a power system is complex. Where some generators are more cost effective, others have cleaner operation. Right choice of generators could save thousands of dollars in operating cost or prevent release of several tons of noxious fumes like NO2 and SO2 annually. Rising complexity of modern power systems and special efficiency improvement methods like valve point loading, demand newer means to find this vital balance between cost and emission. This paper aims to find a solution to this problem by the use of an algorithm inspired by the flight pattern of moths. Like a moth drawn to a flame, this algorithm seeks to minimise both cost as well as emission. The standard IEEE 30 bus test system is considered as the control case and the results obtained are compared with other such algorithms to demonstrate the effectiveness of MFO.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"9 1","pages":"47"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44395294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1504/IJENM.2018.10013283
R. Rajesh, P. Paul
Cloud computing is a kind of architecture deals with the principles of virtualisation and also promote online computing platform as well as services. Tools of the information technology such as monitor, printers, databases, other applications and packages come under the preview of cloud computing. It is also considered as a cloud platform along with cloud architecture. This helps cost saving due to less software, hardware, and IT packages in the in-house settings. Cloud computing also promotes side by side the online availability. Moreover cloud computing saves initial cost as it is offered by third party and thus seeks no need to connect to the service or cloud provider. In cloud computing, internet plays an important role for converged hardware, software and IT applications. Cloud computing has healthy potentialities in iSchools as such academic units are offered academic programs on information and computing related domains. The paper presented the overview on cloud computing and its features with potentialities of the domain in iSchools and allied branches.
{"title":"Cloud computing and engineering in the academics with its potentialities in iSchools: an eco friendly development","authors":"R. Rajesh, P. Paul","doi":"10.1504/IJENM.2018.10013283","DOIUrl":"https://doi.org/10.1504/IJENM.2018.10013283","url":null,"abstract":"Cloud computing is a kind of architecture deals with the principles of virtualisation and also promote online computing platform as well as services. Tools of the information technology such as monitor, printers, databases, other applications and packages come under the preview of cloud computing. It is also considered as a cloud platform along with cloud architecture. This helps cost saving due to less software, hardware, and IT packages in the in-house settings. Cloud computing also promotes side by side the online availability. Moreover cloud computing saves initial cost as it is offered by third party and thus seeks no need to connect to the service or cloud provider. In cloud computing, internet plays an important role for converged hardware, software and IT applications. Cloud computing has healthy potentialities in iSchools as such academic units are offered academic programs on information and computing related domains. The paper presented the overview on cloud computing and its features with potentialities of the domain in iSchools and allied branches.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"9 1","pages":"58"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49123524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1504/IJENM.2018.10013240
R. Rajasekaran, A. Pandi, P. Sethupathi, R. Rajesh
Supply chain is a network of facilities with varying conflicting objectives and decision making is a complex process. The uncertainty in demand increases complexity in inventory control mechanism. Backordering, partial backordering and lost-sales are considered in the inventory management to characterise the excess demand. In the present competitive scenario, mostly consumers have no patience to wait and show urgency to buy their goods failing which the management has to meet a huge loss of supply chain members and hence the profit. There are very few research works regarding lost-sales parameter in the area of multi-echelon inventory systems. It is felt that the proposed modified gene-wise genetic algorithm (MGGA) supply chain model which so far not applied in this process may help to determine best base stock levels and review periods with lost sales particularly at retailer end which minimised total supply chain cost.
{"title":"Inventory parameters for a serial supply chain with lost sales through genetic algorithm approach","authors":"R. Rajasekaran, A. Pandi, P. Sethupathi, R. Rajesh","doi":"10.1504/IJENM.2018.10013240","DOIUrl":"https://doi.org/10.1504/IJENM.2018.10013240","url":null,"abstract":"Supply chain is a network of facilities with varying conflicting objectives and decision making is a complex process. The uncertainty in demand increases complexity in inventory control mechanism. Backordering, partial backordering and lost-sales are considered in the inventory management to characterise the excess demand. In the present competitive scenario, mostly consumers have no patience to wait and show urgency to buy their goods failing which the management has to meet a huge loss of supply chain members and hence the profit. There are very few research works regarding lost-sales parameter in the area of multi-echelon inventory systems. It is felt that the proposed modified gene-wise genetic algorithm (MGGA) supply chain model which so far not applied in this process may help to determine best base stock levels and review periods with lost sales particularly at retailer end which minimised total supply chain cost.","PeriodicalId":39284,"journal":{"name":"International Journal of Enterprise Network Management","volume":"9 1","pages":"22-46"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49268270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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