Pub Date : 2013-05-15DOI: 10.5481/KKUENJ.2013.40.1.7
Mantana Klumleantong, Porntep Khokhajaikiat
The objective of this research is to formulate the inventory model of massage oil (15 ml), which is the main material and has been highly used in the company. The amount of raw material order depends on the estimation of raw materials used by the owner. The overestimation of raw material consumption leads to increase ordering costs, holding costs and taxes. From the study of raw material consumption in the past, it was found that the usage rate of raw material was normal distribution. Therefore, the raw material model can be forecasted by Time series forecasting model and Artificial neural network model. Then the best forecasting model has the minimum of mean absolute deviation. The forecasting demand is applied to find the most economic order quantity, ordering period and the appropriate ordering frequency. From this study, the results showed that the average Inventory of raw material and the average total cost (ordering cost, holding cost and tax) during May to August 2011 was reduced to 50.45 percent and 23.60 percent respectively.
{"title":"Inventory modeling for spa business: a case study of phattaravadee zenity beauty and spa","authors":"Mantana Klumleantong, Porntep Khokhajaikiat","doi":"10.5481/KKUENJ.2013.40.1.7","DOIUrl":"https://doi.org/10.5481/KKUENJ.2013.40.1.7","url":null,"abstract":"The objective of this research is to formulate the inventory model of massage oil (15 ml), which is the main material and has been highly used in the company. The amount of raw material order depends on the estimation of raw materials used by the owner. The overestimation of raw material consumption leads to increase ordering costs, holding costs and taxes. From the study of raw material consumption in the past, it was found that the usage rate of raw material was normal distribution. Therefore, the raw material model can be forecasted by Time series forecasting model and Artificial neural network model. Then the best forecasting model has the minimum of mean absolute deviation. The forecasting demand is applied to find the most economic order quantity, ordering period and the appropriate ordering frequency. From this study, the results showed that the average Inventory of raw material and the average total cost (ordering cost, holding cost and tax) during May to August 2011 was reduced to 50.45 percent and 23.60 percent respectively.","PeriodicalId":37310,"journal":{"name":"Engineering and Applied Science Research","volume":"40 1","pages":"57-66"},"PeriodicalIF":0.0,"publicationDate":"2013-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70946147","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}
Surapol Padungthon, M. El-Moselhy, K. Khuanmar, Panomchai Weerayutsil
In this work, we produced phenol directly from benzene using silicates modified with Al and Fe. The preparation of Al and Fe-silicates was done at 373 K by mixing a silicate solution with Al and Fe sources and the resulting material were dried at 373 K overnight and calcined at 823 K. The calcined materials were characterized using XRD, IR, SEEM and SBET. The oxidative properties of resulting solids (Al and Fe-silicates) were tested in the catalytic oxidation of benzene to phenol at different temperatures. The oxidation processes were followed up using HPLC and UV-Vis Spectrophotometry.
{"title":"Cation modified silicates for catalytic production of phenol from benzene","authors":"Surapol Padungthon, M. El-Moselhy, K. Khuanmar, Panomchai Weerayutsil","doi":"10.21608/absb.2010.7363","DOIUrl":"https://doi.org/10.21608/absb.2010.7363","url":null,"abstract":"In this work, we produced phenol directly from benzene using silicates modified with Al and Fe. The preparation of Al and Fe-silicates was done at 373 K by mixing a silicate solution with Al and Fe sources and the resulting material were dried at 373 K overnight and calcined at 823 K. The calcined materials were characterized using XRD, IR, SEEM and SBET. The oxidative properties of resulting solids (Al and Fe-silicates) were tested in the catalytic oxidation of benzene to phenol at different temperatures. The oxidation processes were followed up using HPLC and UV-Vis Spectrophotometry.","PeriodicalId":37310,"journal":{"name":"Engineering and Applied Science Research","volume":"44 1","pages":"115-117"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68375020","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}
The multiple stack algorithm (MSA) is an efficient algorithm for erasurefree sequential decoding of long constraint length convolutional codes. The basic idea of the MSA is to make use of higher order stacks for blocks that require an excessive number of computations to be decoded. Unfortunately. Those blocks are frequently decoded with poor error performance if the decoding process is terminated with the computational linit, C lim . We propose in this paper a decoding scheme to impeove the error performance of the MSA with the use of parallel decoding. It is found by extensive computer simulations that the bit error rate of the MSA can be further improved with our proposed scheme. Parallel decoding scheme for the MSA appcars to be an interesting scheme for decoding convolutional codes when low error probabilities are required.
{"title":"A Parallel Decoding Scheme for the Multiple Stack Algorithm","authors":"V. Imtawil, M. Kupimai, Watana Kasang","doi":"10.1049/IP-COM:20050036","DOIUrl":"https://doi.org/10.1049/IP-COM:20050036","url":null,"abstract":"The multiple stack algorithm (MSA) is an efficient algorithm for erasurefree sequential decoding of long constraint length convolutional codes. The basic idea of the MSA is to make use of higher order stacks for blocks that require an excessive number of computations to be decoded. Unfortunately. Those blocks are frequently decoded with poor error performance if the decoding process is terminated with the computational linit, C lim . We propose in this paper a decoding scheme to impeove the error performance of the MSA with the use of parallel decoding. It is found by extensive computer simulations that the bit error rate of the MSA can be further improved with our proposed scheme. Parallel decoding scheme for the MSA appcars to be an interesting scheme for decoding convolutional codes when low error probabilities are required.","PeriodicalId":37310,"journal":{"name":"Engineering and Applied Science Research","volume":"31 1","pages":"395-408"},"PeriodicalIF":0.0,"publicationDate":"2005-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1049/IP-COM:20050036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"57780668","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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