LEADER 06744nam 22007695 450 001 9910437772603321 005 20250327172313.0 010 $a9781283912464 010 $a1283912465 010 $a9781447146001 010 $a144714600X 024 7 $a10.1007/978-1-4471-4600-1 035 $a(CKB)3400000000086028 035 $a(EBL)1081745 035 $a(OCoLC)827212518 035 $a(SSID)ssj0000767150 035 $a(PQKBManifestationID)11423978 035 $a(PQKBTitleCode)TC0000767150 035 $a(PQKBWorkID)10739990 035 $a(PQKB)10188321 035 $a(DE-He213)978-1-4471-4600-1 035 $a(MiAaPQ)EBC1081745 035 $a(PPN)168293889 035 $a(EXLCZ)993400000000086028 100 $a20120928d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aProceedings of the Sixth International Conference on Management Science and Engineering Management $eFocused on Electrical and Information Technology /$fedited by Jiuping Xu, Masoom Yasinzai, Benjamin Lev 205 $a1st ed. 2013. 210 1$aLondon :$cSpringer London :$cImprint: Springer,$d2013. 215 $a1 online resource (1029 p.) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v185 300 $aInternational conference proceedings. 311 08$a9781447145998 311 08$a1447145992 320 $aIncludes bibliographical references and author index. 327 $aProceedings of the Sixth International Conferenceon Management Science and Engineering Management; Preface; Contents; Organization; 1 Advancements of Engineering Management based on Electrical and Information Technology for The Sixth ICMSEM; 1.1 Overview of the Previous Five ICMSEMs; 1.2 Key Issues of the Sixth ICMSEM; 1.3 Development Trends for EMEI based on the First Six ICMSEMs; 1.3.1 Identification Procedure; 1.3.2 Survey of ICMSEM papers; 1.3.3 Evaluation of the First Six ICMSEMs; 1.4 Novel EMEI Research Ideas: Computer-based Research Paradigms 327 $a1.5 Appreciations for the Sixth ICMSEM and Prospects for the Seventh ICMSEMReferences; Part I Computer and Networks; 2 Recurrent Neural Network and Genetic Algorithm Approaches for a Dual Route Optimization Problem: A Real Case Study; 2.1 Introduction; 2.2 Case Study; 2.2.1 Background; 2.2.2 Principal and Capillary Routes; 2.3 Dual Problem Formulation; 2.3.1 Travelling salesman problem (TSP) approach for the primary distribution; 2.4 Recurrent Neural Network and Genetic Algorithm Approaches (RNNGA); 2.5 Results; 2.6 Conclusions; References 327 $a3 Influence Factors Theoretical Model of Agribusiness Brand Marketing Strategy3.1 Introduction; 3.2 Related Theory and Brand Marketing Strategy; 3.3 Influence Factors of Agribusiness Brand Marketing Strategy; 3.3.1 Dynamic Capability; 3.3.2 Market Orientation; 3.4 Analysis on Function Mechanism of Influence Factors of Agribusiness Brand Marketing Strategy; 3.4.1 Dynamic Capability of Agribusiness; 3.4.2 Market Orientation of Agribusiness; 3.4.3 Brand Marketing Strategy of Agribusiness; 3.5 The Impact of Market Orientation and Dynamic Capability of Agribusiness on Brand Image Strategy 327 $a3.6 The Impact of Market Orientation and Dynamic Capability of Agribusiness on Brand Location Strategy3.7 The Impact of Market Orientation and Dynamic Capability of Agribusiness on Brand Extension Strategy; 3.8 The Impact of Market Orientation and Dynamic Capability of Agribusiness on Brand Relation Strategy; 3.9 The Theoretical Model of Brand Marketing Strategy Influencing Factors of Agribusiness; 3.10 Large Sample Analysis; 3.10.1 Measurement of Variables; 3.10.2 Design, Issuring and Taking-back of Questionnaire; 3.10.3 Descriptive Statistics of Large Samples; 3.10.4 Correlation Analysis 327 $a3.10.5 Factor Analysis3.10.6 Path Analysis; 3.11 Conclusions; References; 4 Determining OilWell Debit Using Oulet Temperature Information Processing; 4.1 Introduction; 4.2 Problem Formulation; 4.3 Problem Solution; 4.4 Conclusion; References; 5 The Establishment of Rough-ANN Model for Dynamic Risk Measure of Enterprise Technological Innovation and Its Application; 5.1 Introduction; 5.2 Indicator System of Enterprises' Technological Innovation Risk Factors; 5.3 Rough-ANN Model for Dynamic Risk Measure; 5.3.1 Overview of Rough Set Knowledge Reduction Method 327 $a5.3.2 Overview of Artificial Neural Network Theory 330 $aWelcome to the proceedings of the Sixth International Conference on Management Science and Engineering Management (ICMSEM2012) held from November 11 to 14, 2012 at Quaid-i-Azam University, Islamabad, Pakistan and supported by Sichuan University (Chengdu, China), Quaid-i-Azam University (Islamabad, Pakistan) and The National Natural Science Foundation of China. The International Conference on Management Science and Engineering Management is the annual conference organized by the International Society of Management Science and Engineering Management. The goals of the Conference are to foster international research collaborations in Management Science and Engineering Management as well as to provide a forum to present current research results. The papers are classified into 8 sections: Computer and Networks, Information Technology, Decision Support System, Industrial Engineering, Supply Chain Management, Project Management, Manufacturing and Ecological Engineering. The key issues of the sixth ICMSEM cover various areas in MSEM, such as Decision Support System, Computational Mathematics, Information Systems, Logistics and Supply Chain Management, Relationship Management, Scheduling and Control, Data Warehousing and Data Mining, Electronic Commerce, Neural Networks, Stochastic models and Simulation, Heuristics Algorithms, Risk Control, and Carbon Credits. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v185 606 $aIndustrial management 606 $aTechnological innovations 606 $aIndustrial Management 606 $aInnovation and Technology Management 615 0$aIndustrial management. 615 0$aTechnological innovations. 615 14$aIndustrial Management. 615 24$aInnovation and Technology Management. 676 $a620.0068 676 $a658 701 $aXu$b Jiuping$c(Professor of management science)$01750606 701 $aYasinzai$b Masoom$01750607 701 $aLev$b Benjamin$01750608 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437772603321 996 $aProceedings of the sixth International Conference on Management Science and Engineering Management$94185264 997 $aUNINA