Pub Date : 2017-08-01DOI: 10.1109/ICETSS.2017.8324158
S. Burney, S. Ali, Shamaila Burney
It is widely recognized that effective supply chain management (SCM) is imperative in order for organizations to compete and have strategic competitive advantage. In order to maintain profit margins, organizations are working extensively on reducing operational costs and improving customer service. A number of processes within SCM involve complex decision making (DM). Therefore a lot of academicians have developed research interest in improving and/or optimizing SCM performance and decision making capability. Numerous soft computing(SC) techniques including but not limited to fuzzy logic and fuzzy sets, artificial neural networks, genetic algorithm, Bayesian network, rough set theory etc has been applied for decision making and analysis within a number of supply chain management processes. This paper aims to review the existing research articles that deal with the applications of SC techniques for DM in SCM and provides future research directions.
{"title":"A survey of soft computing applications for decision making in supply chain management","authors":"S. Burney, S. Ali, Shamaila Burney","doi":"10.1109/ICETSS.2017.8324158","DOIUrl":"https://doi.org/10.1109/ICETSS.2017.8324158","url":null,"abstract":"It is widely recognized that effective supply chain management (SCM) is imperative in order for organizations to compete and have strategic competitive advantage. In order to maintain profit margins, organizations are working extensively on reducing operational costs and improving customer service. A number of processes within SCM involve complex decision making (DM). Therefore a lot of academicians have developed research interest in improving and/or optimizing SCM performance and decision making capability. Numerous soft computing(SC) techniques including but not limited to fuzzy logic and fuzzy sets, artificial neural networks, genetic algorithm, Bayesian network, rough set theory etc has been applied for decision making and analysis within a number of supply chain management processes. This paper aims to review the existing research articles that deal with the applications of SC techniques for DM in SCM and provides future research directions.","PeriodicalId":228333,"journal":{"name":"2017 IEEE 3rd International Conference on Engineering Technologies and Social Sciences (ICETSS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127135115","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 : 2017-08-01DOI: 10.1109/ICETSS.2017.8324183
A. Naqi, Naseem Abbas
The research discusses the different dosages of pristine carbon nanotubes that can be added for the strength enhancement of cement composites. Carbon nanotubes dispersion in the cement composite was aided using silica fume particles. Addition of silica fume was found to be helpful in strength increment by improving the bond between the nanotubes and cement matrix. The experimental results showed an increase in compressive strength up to 4.2% and 19% at 7 and 28 days testing for the CNTs dosages of 0.05%, 0.075% and 0.10% (by weight of binder) compared the reference specimen. This strength increment is due to improved microstructure formed by the addition of nanotubes.
{"title":"Experimental investigation on the contribution of pristine multi-walled carbon nanotubes (MWCNTs) addition to the strength enhancement of cement composites","authors":"A. Naqi, Naseem Abbas","doi":"10.1109/ICETSS.2017.8324183","DOIUrl":"https://doi.org/10.1109/ICETSS.2017.8324183","url":null,"abstract":"The research discusses the different dosages of pristine carbon nanotubes that can be added for the strength enhancement of cement composites. Carbon nanotubes dispersion in the cement composite was aided using silica fume particles. Addition of silica fume was found to be helpful in strength increment by improving the bond between the nanotubes and cement matrix. The experimental results showed an increase in compressive strength up to 4.2% and 19% at 7 and 28 days testing for the CNTs dosages of 0.05%, 0.075% and 0.10% (by weight of binder) compared the reference specimen. This strength increment is due to improved microstructure formed by the addition of nanotubes.","PeriodicalId":228333,"journal":{"name":"2017 IEEE 3rd International Conference on Engineering Technologies and Social Sciences (ICETSS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128649805","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 : 2017-08-01DOI: 10.1109/ICETSS.2017.8324174
Hans Chandra, Michael, Kenny Rizky Hadisaputra, Handri Santoso, Erwin Anggadjaja
Parking space has become a prominent problem due to the increasing number of vehicles which is not fully accommodated by the available parking space. In this paper, a Smart Parking Management System (SPMS) based on the combination of Radio Frequency Identification (RFID), Automatic License Plate Recognition (ALPR), and IEEE 802.15.4 Wireless Sensor Network (WSN) technologies is presented. Using ALPR and WSN, the system is able to collect information about the occupancy status of parking spaces and transmit them to a database server. This information can be accessed by user through mobile application to receive real-time updates. The application also encourages an NFC-based user identification and facilitates user with parking space reservation and online payment system. A proof-of-concept has been deployed, tested, and validated. The validation demonstrates that the proposed system can meet the real requirement of SPMS.
{"title":"Smart Parking Management System: An integration of RFID, ALPR, and WSN","authors":"Hans Chandra, Michael, Kenny Rizky Hadisaputra, Handri Santoso, Erwin Anggadjaja","doi":"10.1109/ICETSS.2017.8324174","DOIUrl":"https://doi.org/10.1109/ICETSS.2017.8324174","url":null,"abstract":"Parking space has become a prominent problem due to the increasing number of vehicles which is not fully accommodated by the available parking space. In this paper, a Smart Parking Management System (SPMS) based on the combination of Radio Frequency Identification (RFID), Automatic License Plate Recognition (ALPR), and IEEE 802.15.4 Wireless Sensor Network (WSN) technologies is presented. Using ALPR and WSN, the system is able to collect information about the occupancy status of parking spaces and transmit them to a database server. This information can be accessed by user through mobile application to receive real-time updates. The application also encourages an NFC-based user identification and facilitates user with parking space reservation and online payment system. A proof-of-concept has been deployed, tested, and validated. The validation demonstrates that the proposed system can meet the real requirement of SPMS.","PeriodicalId":228333,"journal":{"name":"2017 IEEE 3rd International Conference on Engineering Technologies and Social Sciences (ICETSS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126664416","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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