Çѱ¹°æ¿µ°úÇÐȸ 2010 Ãß°èÇмú´ëȸ
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Opening
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Keynote1
Convergenomics and Open Innovation : A New Paradigm for Value Creation
ÀÌ»ó¹®(Univ. of Nebraska-Lincoln)
Keynote2
ITÀ¶ÇÕ°ú ¹Ì·¡°æ¿µ
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(±¹°¡Á¤º¸È­Àü·«À§¿øȸ)
Tutorial1
¸ð¹ÙÀÏ »ýÅ°è : °æ¿µ°úÇÐ/»ê¾÷°øÇÐÀû °üÁ¡
ÀÌ¿ì±â
(ÀÎÇÏ´ëÇб³ »ê¾÷°øÇаú)
Tutorial2
¿¡³ÊÁö/ȯ°æ¹®Á¦¿¡ ´ëÇÑ °æ¿µ°úÇÐÀû Á¢±Ù : ź¼Ò¹èÃâ±Ç
Á¤ÇغÀ(¿¡ÄÚÇÁ·ÐƼ¾î¢ß)
A1-1
È®·üÀû ¼ö¿ä¸¦ °®´Â À¯Åë½Ã½ºÅÛÀÇ ´ÙÇ°¸ñ ÅëÇÕ¹ßÁÖ¹®Á¦
Á¤¿øÂù(ÇѾç´ëÇб³)
A1-2
LOF¿Í Dynamic ICA¸¦ ÀÌ¿ëÇÑ ÇÁ·Î¼¼½º ¸ð´ÏÅ͸µ ¹æ¹ý·Ð
°­º¹¿µ(¼­¿ï´ëÇб³)
A1-3
Trade-offs or Cumulative? : Contingency approach on the strategic choice of manufacturing capabilities
°­¼º¿í(¼­¿ï´ëÇб³)
A1-4
¾ç¸é½ÃÀåÇü »ê¾÷»ýÅ°迡¼­ Ç÷§Æû °æÀï¿¡ °üÇÑ ÁøÈ­°ÔÀÓ ¸ðÇü
±èµµÈÆ(°æÈñ´ëÇб³)
   
A1-5
¿Â¶óÀÎ Ä¿¹Â´ÏƼ ¸ôÀÔÀÇ ºê·£µå Ã漺µµ·ÎÀÇ ÀüÀÌ : »çȸÁ¤Ã¼¼ºÀÌ·ÐÀÇ °üÁ¡
°û±â¿µ(±¹¹Î´ëÇб³)
A2-1
Semi-Supervised LearningÀ» ÀÌ¿ëÇÑ ÁÖ°¡¿¹Ãø
¹Ú°­Èñ(¾ÆÁÖ´ëÇб³)
A2-2
½ºÅ¸À̳ÊÆ®¸® ±â¹ÝÀÇ È¿°úÀûÀÎ ¸ð¹ÙÀÏ À¥ °Ë»ö
¼ÛÁ¾¼ö(ÀÎÇÏ´ëÇб³)
A2-3
Emerging DeviceÀÇ ¼ö¿ë-È®»ê ¿äÀÎ ºñ±³ºÐ¼®À» ÅëÇÑ Â÷º°È­ Àü·« ¿¬±¸ : ÅÂºí¸´PC¿Í ÀüÀÚÃ¥´Ü¸»±â¸¦ ´ë»óÀ¸·Î
½ÉÁøº¸
(Çѱ¹ÀüÀÚÅë½Å¿¬±¸¿ø)
A3-1
Á¶°ÇºÎ Value-at-Risk¿¡ ÀÇÇÑ Àüȯ»çäÀÇ º¸ÅëÁÖ Àüȯ ¸ðÇü
¹Ú±¸Çö
(È«ÀÍ´ëÇб³ »ê¾÷°øÇаú)
A3-2
¼ö´É½ÃÇè ¼±Åðú¸ñ Á¡¼öÁ¶Á¤¿¡ ´ëÇÑ ÃøÁ¤ÇÐ ¹× °æ¿µ°úÇÐ ºñ±³
³²º¸¿ì(´Ü±¹´ëÇб³)
A3-3
´ÙÇ×ÃÖÀûÈ­¹®Á¦¿¡ ´ëÇÑ Çعý°ú ¼º´É
¹Ú¸íÁÖ
(¼­¿ï´ëÇб³ »ê¾÷°øÇаú)
A4-1
Portfolio Optimization in Designing Enhanced Index Funds
¼ÒÇöÁø(°í·Á´ëÇб³)
A4-2
Markov chain Monte Carlo Method for Parameter Estimation
³ëµ¿Áø(POSTECH)
A4-3
±ÝÀ¶ÆÄ»ý»óÇ° ¼³°è¸¦ À§ÇÑ CAD
½ÅÇÏ¿ë(KAIST)
A4-4
Multi-period stochastic programÀ» ÀÌ¿ëÇÑ ±ÝÀ¶ Æ÷Æ®Æú¸®¿À °ü¸®
±è¿ìâ(KAIST)
A5-1
Áß¼ÒÁ¦Á¶¾÷üÀÇ IS ÇÁ·ÎÁ§Æ® Ç°Áú¿¡ ¿µÇâÀ» ¹ÌÄ¡´Â ¿äÀÎ
È«¼ø±¸(µ¿¾Æ´ëÇб³)
A5-2
Áö½Ä°ü¸® ¼º°ú Æò°¡¸ðÇü °³¹ß ¹× Æò°¡Ç׸ñº° AHPºÐ¼® : °úÇбâ¼ú°è Á¤ºÎÃ⿬¿¬±¸¼Ò¸¦ Áß½ÉÀ¸·Î
Á¤Åÿµ (Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø)
A5-3
BPM¿¡ ±â¹ÝÇÑ IT ÀÇ»ç°áÁ¤ ÇÁ·¹ÀÓ¿÷
À强¿ì(Çѱ¹¿À¶óŬ)
A5-4
°è·®Àû »ê¾÷ºÐ¼® ¹æ¹ý·Ð¿¡ °üÇÑ ¿¬±¸
°íº´¿­(Çѱ¹°úÇбâ¼ú¿¬±¸¿ø)
   
A6-1
¿¬±¸°³¹ß»ç¾÷ Æò°¡¿¡ °üÇÑ ¹®Çå ¿¬±¸
¹ÎÇö°æ(POSTECH)
   
A6-2
Estimation of Economic Values of Government Sponsored R&D using Real Option approach : A case of 21C Frontier R&D Project
±è¼ºÅÂ(POSTECH)
A6-3
±¹°¡ R&D°³¹ß Àü·«À» Á¦½ÃÇÏ´Â ±â¼ú±âȹ¹æ¹ý ¿¬±¸
ÁöÇü±Ô
(Çѱ¹»ê¾÷±â¼úÁøÈï¿ø)
   
A6-4
ź¼Ò³ª³ëÆ©ºêÀÇ ¿­Àüµµ ±â¼ú¿¡ ´ëÇÑ Æ¯Çã µ¿Ç⠺м® ¿¬±¸
½Åµ¿ÁÖ(ÀüÁÖ´ëÇб³)
A6-5
Why people experience virtual world equals why people travel
º¯¿ø±â(¾ÆÁÖ´ëÇб³)
   
B1-1
ÇѹÌÆĽ¼½ºÀÇ °æ¿µ°úÇÐ ÀÀ¿ë¼º°ú
º¯ºÀ¼ö(ÇѹÌÆĽ¼½º)
B1-2
SyncPlant APS ¼Ò°³ ¹× Àû¿ë»ç·Ê
À¯È¯ÁÖ(KSTEC CTO)
B1-3
ÀÚµ¿Â÷ »ê¾÷¿¡¼­ÀÇ ½ºÄÉÁ층°ú ¼Ö·ç¼Ç
À±¼®Áø(JDA Korea)
B1-4
Àü·«Àû Á¦Ç°°³¹ß Çõ½Å(Portfolio Management)
ÁÖ°æÈñ(LG CNS Entrue Consulting Partmers)
   
B1-5
°í°´ ºÐ¼®¿¡ ÀÇÇÑ °í°´ ¸ÂÃãÇü CRM ½Ã½ºÅÛ ±¸Ãà »ç·Ê
¹Ú±¸(SK C&C)
B2-1
stochastic modeling(queueing theory Áß½É)
ÀÌÈ£¿ì(¼º±Õ°ü´ëÇб³)
B2-2
Optimality and Equilibrium : A new insingt for management science
ÀÌÀç¿í(POSTECH)
B3-1
½Ã¹Ä·¹ÀÌ¼Ç ±â¹ýÀ» ÀÌ¿ëÇÑ ¼¿ÇÁ ¼­ºñ½º ½Ã½ºÅÛ ¿¬±¸ : ¼¿ÇÁ ÁÖÀ¯¼Ò »ç·Ê
Á¤¼º¿í(¼­¿ï´ëÇб³)
B3-2
Building the strategic CoP for implementing Six Sigma
±è¼ºÁø (POSTECH »ê¾÷°æ¿µ°øÇаú)
B3-3
¼ö¿äÀ²ÀÇ ºÒÈ®½Ç¼º°ú À¯ÇÑÁ¤ºñ¼­¹ö¸¦ °í·ÁÇÑ ÀûÁ¤Àç°í¼öÁØ ¼±Á¤¸ðÇü ¿¬±¸
À±Çõ(±¹¹æ´ëÇб³)
B3-4
°íÀ庹±¸½Ã°£ ¿¹Ãø±â¼úÀÇ ½ºÄÉÁÙ¸µ È°¿ë ¹æ¾È
¼­Áø¿ì
(¼­¿ï´ëÇб³ »ê¾÷°øÇаú)
B4-1
A Mathematical Model for a Quantity-Flexible Contract
¹Ú¼ºÀÏ(ÇѾç´ëÇб³)
B4-2
½Ã¹Ä·¹À̼ÇÀ» ÀÌ¿ëÇÑ ¼öÁ¤ (R,S) Á¤Ã¥ÀÇ È¿À²¼º ¿¬±¸
±èÁ¤Çö(ÇѾç´ëÇб³)
B4-3
¿ë·® ¿¹¾à °è¾àÀ» À§ÇÑ ÃÖÀû ¼ö¸® ¸ðÇü
±èÅ¿µ(µ¿¾ç¹Ì·¡´ëÇÐ)
B5-1
A Simulation Approach to Modeling the Screening Policy of Colorectal Cancer Care System
¹Î´ë±â(ÀÌÈ­¿©ÀÚ´ëÇб³)
   
B5-2
µ¥ÀÌÅ͸¶ÀÌ´×À» ÅëÇÑ Ç°ÁúÇâ»ó
±è¼º¹ü(°í·Á´ëÇб³)
B5-3
¹ÙÀÌ¿À¸ÞµðÄà Á¤º¸ºÐ¾ß¿¡¼­ÀÇ µ¥ÀÌÅ͸¶ÀÌ´×
½ÅÇöÁ¤(¾ÆÁÖ´ëÇб³)
 
C1-1
A Bayesian DYMIMIC Model for Forecasting Movie Viewers
±èµ¿¼ö(KAIST)
C1-2
Prediction and Detection of Turning points in Business cycle by Structural Change Detection and Adaptive Forecasting
±è½ÂÇö(KAIST)
C1-3
Asymmetric Response of Price to Cost changes
¿À°æ¸ð(KAIST)
   
C1-4
·ÎÁö½ºÆ½ ¸ðÇü°ú Bass È®»ê ¸ðÇüÀÇ ºñ±³ºÐ¼®
±èű¸(¼­¿ï´ëÇб³)
C2-1
±â¾÷ÀÇ ±â¾÷°¡Àû ¼ºÇâÀÌ ±â¾÷ ±¸¼º¿øÀÇ Á¶Á÷ ¸ôÀÔµµ¿¡ ¹ÌÄ¡´Â ¿µÇ⠺м®
¹Ú±¤È£
(KAIST »ê¾÷°øÇаú)
C2-2
±¹³» ¹æÀ§»ê¾÷ÀÇ °³¹æÇü ±â¼úÇõ½ÅÈ°µ¿ ÇöÇ×°ú È¿°ú ºÐ¼®
¼Û¿µÇÊ
(°í·Á´ëÇб³ °æ¿µÇаú)
C2-3
The Factors of Successful Metaverse : Community Identification in Metaverse
±èâ¼ö
(¾ÆÁÖ´ëÇб³ °æ¿µ¿¬±¸¼Ò)
   
C2-4
µ¥ÀÌÅ͸¶ÀÌ´× ±â¹ýÀ» ÀÌ¿ëÇÑ À±È°¾×(lubricant)ÀÇ ÁßÇÕü(polymer)¿Í ÷°¡Á¦(addictive) ½Äº°¿¡ °üÇÑ ¿¬±¸
±è½Å¿µ (°í·Á´ëÇб³ »ê¾÷°æ¿µ°øÇаú)
C3-1
±³Â÷È¿À²¼º ±â¹ýÀ» ÀÌ¿ëÇÑ ´ÜÀ§ºÎ´ëÀÇ È¿À²¼º ÃøÁ¤ ¹× ¼øÀ§°áÁ¤
¹ÚÁøÄ¥(°í·Á´ëÇб³)
C3-2
Optimization Model for Service Supply Chain
Ȳ¹Î±Ô(ÇѾç´ëÇб³)
C3-3
Green SCMÀÇ ¿µÇâ¿äÀÎ, µµÀÔ¼öÁØ, ±×¸®°í ȯ°æ¼º°ú°£ÀÇ Àΰú°ü°è
¿ÀÇüÁø(µ¿±¹´ëÇб³)
C3-4
A Graph Optimization Algorithm & Routing Heuristics in an Aisle-Based Order Picking System of Automotive Service Parts Warehouses
¸®Áø(°í·Á´ëÇб³)
C3-5
À¯ÀÔ·®ÀÇ º¯µ¿¼ºÀ» °í·ÁÇÑ Fuzzy DEA±â¹ÝÀÇ ´ï ±º ¿¬°è ¿î¿µ ´ë¾È Æò°¡
±è¿ë±â(°í·Á´ëÇб³)
C4-1
½Ã¹Ä·¹À̼ÇÀ» ÀÌ¿ëÇÑ ±º¼öÁö¿ø ¿î¼ÛÂ÷·®ÀÇ ¿î¿ë´É·Â ºÐ¼® : Á¦2Â÷ ¼¼°è´ëÀü ºÏ¾ÆÇÁ¸®Ä« Àü¿ª »ç·Ê¿¬±¸
º¯¹«Çö(±¹¹æ´ëÇб³)
C4-2
¹ÝµµÃ¼ Assembly°øÁ¤¿¡¼­ TOC ÀÌ·ÐÀÇ ÀÀ¿ë»ç·Ê
ÀÌÁÖÇå(¿¬¼¼´ëÇб³)
   
C4-3
TFT-LCD Fab ½Ç½Ã°£ »ý»ê ½ºÄÉÁÙ¸µÀ» À§ÇÑ È¥ÇÕ Á¤¼ö °èȹ ¸ðÇü
ÀÌ»óÁø(LG Display)
   
C4-4
¼­ºñ½º ½Ã½ºÅÛÀÇ ¿î¿µ¼º°ú Æò°¡¿¡ °üÇÑ ¿¬±¸
ÀÌâ¿ø(ÇѾç´ëÇб³)
   
C4-5
Àç°í°ü¸® ÃÖ±Ù ¿¬±¸µ¿Çâ
¹®ÀÏ°æ(ºÎ»ê´ëÇб³)
C5-1
Á¤·®Àû, Á¤¼ºÀû Æò°¡Ä¡ Àû¿ëÀ» À§ÇÑ Hybrid-AHP ½Ã½ºÅÛ °³¹ß ¹× ÀÀ¿ë
ÃÖ»óÇö(°æ»ó´ëÇб³)
C5-2
Ç×°ø»ê¾÷ÀÇ ±â¼ú »ç¾÷¼º Æò°¡ ¸ðÇü : AHP¸¦ È°¿ëÇÑ Àü·« ±â¼ú ¼±Á¤ »ç·Ê
Á¶¿µ¶õ(¾ÆÁÖ´ëÇб³)
C5-3
Áý´Ü ¹®È­¿Í Áý´Ü Áö¼º Âü¿© : À§Å°Çǵð¾Æ¿¡ ´ëÇÑ °Å½ÃÀû ºÐ¼®
±èÁ¾¿ì(ÇѾç´ëÇб³)
C5-4
ÇàÅÂÀû ÀÇ»ç°áÁ¤ : ±Ù°Å¿Í »ç·Ê
¹ÎÀçÇü(¼­°­´ëÇб³)