Capacity Planning. Operations Planning
|
|
- Kerry Watson
- 8 years ago
- Views:
Transcription
1 Operaons Plannng Capacy Plannng Sales and Operaons Plannng Forecasng Capacy plannng Invenory opmzaon How much capacy assgned o each producon un? Realsc capacy esmaes Sraegc level Moderaely long me horzon Larger me buckes Daa no known exacly Poche-Wolsey s model s oo large, NP-hard Decomposon naccurae model Medum-erm plannng horzon, sraegc level Larger me buckes 1 Some defnons Work n Process nvenory beween he sar and end pons of a produc roung s called work n process (WIP) WIP nvenory work n process nvenory FGI nvenory fnal goods nvenory Lead me of a gven roung or lne s he me alloed for producon of a par on ha roung or lne. Lles Law WIP = Throughpu cycle me Maser Producon Schedulng Model (Poche-Wolsey) me horzon = 1,...,n φ un producon cos q fxed producon cos π nvenory cos D demand Decson varables x producon lo sze n perod y bnary varable ndcang producon perod I nvenory a end of perod Moreover C k avalable capacy, resource k me ξ k per un resource consumpon β k fxed resource consumpon 3
2 Maeral Requremen Plannng Model (Poche-Wolsey) Maeral Requremen Plannng Model (Poche-Wolsey) Mul-em mul-level capacaed lo-szng model Opmze smulaneously producon and purchase of all ems from raw maerals o fnshed producs sasfy exernal demands sasfy nernal demands shor-erm horzon Bll of maerals (BOM) S() se of drec successors of (ems consumng ) r j amoun of em requred o make one em j γ lead-me o produce or delver a lo of.e. x can be delvered a me + γ Model mn m n =1 =1 φ x + q y + π I Subjec o: ( ) I 1 + x γ = D + r j x j + I, j S() x My, m =1 ξ k x + m =1 β k y C k x R +,I R +,y {,1} Large, NP-hard model, dffcul o solve 5 Capacy of Resources Gross capacy Usable capacy Producvy facor Resource Gross Producvy Usable Descrpon Capacy Facor Capacy (hours/day) (hours/day) Machne S Forklf.5. Machne ASS Machne PPP Capacy lm s sof (queung heory) Lead me depends on load Capacy depends on - varaon n arrvng jobs - varaon n lead mes Asmundsson, Sngle-sage mul-produc plannng Smplfed model Subjec o: mn φ X + π I I = I, 1 + X, L D ξ X C X,I R + LP-model (easy o solve),, Seup mes are negleced (fuure work) Consan lead me (producon me) L 7
3 Inroducon Relaon beween WIP and sysem hroughpu Accurae measuremens of manufacurng capacy s hard o oban (Elmaghraby 1991) Sochasc performance analyss models Queung models capure mporan aspecs (Hopp, Spearman ) Sochasc model of whole producon unrealsc Deermnsc echnques Dvde plannng horzon n dscree buckes Assgn capacy n each bucke Soluon sasfyng aggregaed consran no feasble n pracce Inegrang approaches (Hung, Leachmand 199) Solve LP model for producon plannng Feed no smulaor o esmae lead mes Add cu f no feasble nonlnear clearng funcon. Analyc congeson model for closed producon sysems (Spearman 1991) Queung models of manufacurng sysems (Buzaco, Shanhkumar 1993) Connecon beween WIP, varaon, ulzaon (Medh 1991) WIP = c ρ 1 ρ + ρ c varaon servce me and arrvals, ρ ulzaon of server (WIP+1) + WIP(c ρ = 1) (W IP+1) (c 1) Fgure for dfferen values of c Clearng Funcon Relaonshp wh Lead Tme Theorecal Capacy Throughpu (Capacy) WIP Lead Tme Theorecal Capacy Throughpu Fgure 1 199) Relaonshps beween hroughpu, WIP and lead me (Karmarkar 9 1 Clearng Funcon Capacy lm depends on Work-n-process (W) ξ X f (ξ W ) Asmundsson Sngle Sage Mul-produc Plannng Model Usng Clearng Funcons X number of uns of produc produced me R number of uns or produc released no he sage a he begnnng of me perod W number of uns of produc n WIP nvenory a he end of perod I number of uns of produc n fnshed goods nvenory a he end of perod ξ amoun of resource (machne me) requred o produce one un of em me f (W) clearng funcon represenng resource n perod D he demand for produc n perod If capacy depends on WIP we need o have cos assocaed wh WIP (nernal nvenory) 11 1
4 CF model (Clearng Funcon) Subjec o: mn φ X + ω W + π I + ρ R W = W, 1 X + R I = I, 1 + X D ξ X f (ξ W ) X,W,I,R R +,,, Problem wh capacy consran X A + X B f(w A +W B ) for wo producs A,B Soluon exss X A >, X B =, W A =, W B > Manan hgh W B f cheap Creae capacy for X A No lnk beween WIP avalable and producon where φ cos of producng un me ω cos of WIP of un me π cos of nvenory un me ρ cos of releasng un me 13 Soluon Z represen an allocaon of expeced hroughpu among dfferen producs X Z f (ξ W ) Z = 1 Depends on oal WIP. Prefer WIP of specfc produc. Assumng ξ W = Z ξ W we ge (?) X Z f (?, ξ W Z ), Z = 1 ACF model (Allocaed Clearng Funcon) Subjec o: mn φ X + ω W + π I + ρ R W = W, 1 X + R I = I, 1 + X D?,, ξ W X Z f ( ) Z Z = 1 X,W,I,R R +, Throughpu (Capacy) Theorecal Capacy WIP 15 1
5 Ouer approxmaon of clearng funcon Asmundsson, expermenal resuls Ouer lnear funcons α c W + β c for c = 1,...,C ξ W α c W + β c c, hen f(w) = mn c=1,...,c {αc W + β c } Assume ha α 1 > α > α 3 >... > α c = Lnear model mn φ X + ω W + π I + ρ R Subjec o: W = W, 1 X + R I = I, 1 + X D ξ X α c ξ W + Z β c Z = 1,,,,c Z,X,W,I,R R +, Whch s correc ( snce ) { ξ W Z f = Z mn α cξ } W + β c Z c Z = mn c {α c ξ W + β c Z } 17 Sngle-sage sysem, 3 producs Varaon of arrval.5 varaon of servce Max hroughpu 1 ems / perod Mnmze nvenory holdng coss (π 1,π,π 3 ) =(1,,3) Holdng coss of WIP and FGI are same Clearng funcon, lnear approxmaon 1 Asmundsson, expermenal resuls Asmundsson, expermenal resuls Producon Plan Throughpu 1 1 Throughpu 1 1 Demand Demand WIP FGI TH 1 FC PCF Throughpu Tme Perod Fgure Producon plan Perod 1. Lead Tme Fgure 5: Throughpu and Demand of ACF and FC Models. 1. Demand (gray), hroughpu from ACF more smooh han FC 1 WIP and FGI. 1 Perods Level 1 PCF - WIP PCF - FGI FC - FGI Tme Perod Fgure 3 Producon lead me 5 Conclusons Perod Fgure : WIP and FGI levels, Cumulave across Iems. WIP hgh when hroughpu hgh, FC model does no capure WIP FC soluon only opmzes FGI holdng coss, fals o capure radeoffs WIP, FGI 19
6 Asmundsson, expermenal resuls Asmundsson, expermenal resuls. Lead-Tme 1. Lead-Tme vs. Throughpu 7.. Iem 1 Iem 1. Iem 3 Lead-Tme 5. Average Raw Processng.. 3. Lead-Tme Perod Fgure 7: Producon Lead-Tme across all Iems Throughpu lead me greaer han.1 (raw processng me), vares sgnfcanly Fgure 9: Nonlnear Relaonshp beween hroughpu and lead me 5 Margnal Cos of Capacy PCF FC 15 MMC Perod Fgure : Margnal Cos of Capacy (MCC). capacy consran acve n ACF, margnal cos posve margnal cos s zero n FC for all perods where FGI s zero 1
Pedro M. Castro Iiro Harjunkoski Ignacio E. Grossmann. Lisbon, Portugal Ladenburg, Germany Pittsburgh, USA
Pedro M. Casro Iro Harjunkosk Ignaco E. Grossmann Lsbon Porugal Ladenburg Germany Psburgh USA 1 Process operaons are ofen subjec o energy consrans Heang and coolng ules elecrcal power Avalably Prce Challengng
More informationMULTI-WORKDAY ERGONOMIC WORKFORCE SCHEDULING WITH DAYS OFF
Proceedngs of he 4h Inernaonal Conference on Engneerng, Projec, and Producon Managemen (EPPM 203) MULTI-WORKDAY ERGONOMIC WORKFORCE SCHEDULING WITH DAYS OFF Tar Raanamanee and Suebsak Nanhavanj School
More information12/7/2011. Procedures to be Covered. Time Series Analysis Using Statgraphics Centurion. Time Series Analysis. Example #1 U.S.
Tme Seres Analyss Usng Sagraphcs Cenuron Nel W. Polhemus, CTO, SaPon Technologes, Inc. Procedures o be Covered Descrpve Mehods (me sequence plos, auocorrelaon funcons, perodograms) Smoohng Seasonal Decomposon
More informationGlobal supply chain planning for pharmaceuticals
chemcal engneerng research and desgn 8 9 (2 0 1 1) 2396 2409 Conens lss avalable a ScenceDrec Chemcal Engneerng Research and Desgn journal homepage: www.elsever.com/locae/cherd Global supply chan plannng
More informationAnalyzing Energy Use with Decomposition Methods
nalyzng nergy Use wh Decomposon Mehods eve HNN nergy Technology Polcy Dvson eve.henen@ea.org nergy Tranng Week Pars 1 h prl 213 OCD/ 213 Dscusson nergy consumpon and energy effcency? How can energy consumpon
More informationA Heuristic Solution Method to a Stochastic Vehicle Routing Problem
A Heursc Soluon Mehod o a Sochasc Vehcle Roung Problem Lars M. Hvaum Unversy of Bergen, Bergen, Norway. larsmh@.ub.no Arne Løkkeangen Molde Unversy College, 6411 Molde, Norway. Arne.Lokkeangen@hmolde.no
More informationMarket-Clearing Electricity Prices and Energy Uplift
Marke-Clearng Elecrcy Prces and Energy Uplf Paul R. Grbk, Wllam W. Hogan, and Susan L. Pope December 31, 2007 Elecrcy marke models requre energy prces for balancng, spo and shor-erm forward ransacons.
More informationY2K* Stephanie Schmitt-Grohé. Rutgers Uni ersity, 75 Hamilton Street, New Brunswick, New Jersey 08901 E-mail: grohe@econ.rutgers.edu.
Revew of Economc Dynamcs 2, 850856 Ž 1999. Arcle ID redy.1999.0065, avalable onlne a hp:www.dealbrary.com on Y2K* Sephane Schm-Grohé Rugers Unersy, 75 Hamlon Sree, New Brunswc, New Jersey 08901 E-mal:
More informationA robust optimisation approach to project scheduling and resource allocation. Elodie Adida* and Pradnya Joshi
In. J. Servces Operaons and Informacs, Vol. 4, No. 2, 2009 169 A robus opmsaon approach o projec schedulng and resource allocaon Elode Adda* and Pradnya Josh Deparmen of Mechancal and Indusral Engneerng,
More informationThe Virtual Machine Resource Allocation based on Service Features in Cloud Computing Environment
Send Orders for Reprns o reprns@benhamscence.ae The Open Cybernecs & Sysemcs Journal, 2015, 9, 639-647 639 Open Access The Vrual Machne Resource Allocaon based on Servce Feaures n Cloud Compung Envronmen
More informationSelected Financial Formulae. Basic Time Value Formulae PV A FV A. FV Ad
Basc Tme Value e Fuure Value of a Sngle Sum PV( + Presen Value of a Sngle Sum PV ------------------ ( + Solve for for a Sngle Sum ln ------ PV -------------------- ln( + Solve for for a Sngle Sum ------
More informationLevy-Grant-Schemes in Vocational Education
Levy-Gran-Schemes n Vocaonal Educaon Sefan Bornemann Munch Graduae School of Economcs Inernaonal Educaonal Economcs Conference Taru, Augus 26h, 2005 Sefan Bornemann / MGSE Srucure Movaon and Objecve Leraure
More informationPerfCenter: A Methodology and Tool for Performance Analysis of Application Hosting Centers
PerfCener: A Mehodology and Tool for Performance Analyss of Applcaon Hosng Ceners Rukma P. Verlekar, Varsha Ape, Prakhar Goyal, Bhavsh Aggarwal Dep. of Compuer Scence and Engneerng Indan Insue of Technology
More informationGenetic Algorithm with Range Selection Mechanism for Dynamic Multiservice Load Balancing in Cloud-Based Multimedia System
ISSN : 2347-8446 (Onlne) Inernaonal Journal of Advanced Research n Genec Algorhm wh Range Selecon Mechansm for Dynamc Mulservce Load Balancng n Cloud-Based Mulmeda Sysem I Mchael Sadgun Rao Kona, II K.Purushoama
More informationINTERNATIONAL JOURNAL OF STRATEGIC MANAGEMENT
IJSM, Volume, Number, 0 ISSN: 555-4 INTERNATIONAL JOURNAL OF STRATEGIC MANAGEMENT SPONSORED BY: Angelo Sae Unversy San Angelo, Texas, USA www.angelo.edu Managng Edors: Professor Alan S. Khade, Ph.D. Calforna
More informationTHE USE IN BANKS OF VALUE AT RISK METHOD IN MARKET RISK MANAGEMENT. Ioan TRENCA *
ANALELE ŞTIINłIFICE ALE UNIVERSITĂłII ALEXANDRU IOAN CUZA DIN IAŞI Tomul LVI ŞnŃe Economce 009 THE USE IN BANKS OF VALUE AT RISK METHOD IN MARKET RISK MANAGEMENT Ioan TRENCA * Absrac In sophscaed marke
More informationSHIPPING ECONOMIC ANALYSIS FOR ULTRA LARGE CONTAINERSHIP
Journal of he Easern Asa Socey for Transporaon Sudes, Vol. 6, pp. 936-951, 2005 SHIPPING ECONOMIC ANALYSIS FOR ULTRA LARGE CONTAINERSHIP Chaug-Ing HSU Professor Deparen of Transporaon Technology and Manageen
More informationGUIDANCE STATEMENT ON CALCULATION METHODOLOGY
GUIDANCE STATEMENT ON CALCULATION METHODOLOGY Adopon Dae: 9/28/0 Effecve Dae: //20 Reroacve Applcaon: No Requred www.gpssandards.org 204 CFA Insue Gudance Saemen on Calculaon Mehodology GIPS GUIDANCE STATEMENT
More informationInventory Management MILP Modeling for Tank Farm Systems
2 h European Sympoum on Compuer Aded Proce Engneerng ESCAPE2 S. Perucc and G. Buzz Ferrar (Edor) 2 Elever B.V. All rgh reerved. Invenory Managemen MILP Modelng for Tank Farm Syem Suana Relva a Ana Paula
More informationThe Multi-shift Vehicle Routing Problem with Overtime
The Mul-shf Vehcle Roung Problem wh Overme Yngao Ren, Maged Dessouy, and Fernando Ordóñez Danel J. Epsen Deparmen of Indusral and Sysems Engneerng Unversy of Souhern Calforna 3715 McClnoc Ave, Los Angeles,
More informationAttribution Strategies and Return on Keyword Investment in Paid Search Advertising
Arbuon Sraeges and Reurn on Keyword Invesmen n Pad Search Adversng by Hongshuang (Alce) L, P. K. Kannan, Sva Vswanahan and Abhshek Pan * December 15, 2015 * Honshuang (Alce) L s Asssan Professor of Markeng,
More informationCost- and Energy-Aware Load Distribution Across Data Centers
- and Energy-Aware Load Dsrbuon Across Daa Ceners Ken Le, Rcardo Banchn, Margare Maronos, and Thu D. Nguyen Rugers Unversy Prnceon Unversy Inroducon Today, many large organzaons operae mulple daa ceners.
More informationCLoud computing has recently emerged as a new
1 A Framework of Prce Bddng Confguraons for Resource Usage n Cloud Compung Kenl L, Member, IEEE, Chubo Lu, Keqn L, Fellow, IEEE, and Alber Y. Zomaya, Fellow, IEEE Absrac In hs paper, we focus on prce bddng
More informationAPPLICATION OF CHAOS THEORY TO ANALYSIS OF COMPUTER NETWORK TRAFFIC Liudvikas Kaklauskas, Leonidas Sakalauskas
The XIII Inernaonal Conference Appled Sochasc Models and Daa Analyss (ASMDA-2009) June 30-July 3 2009 Vlnus LITHUANIA ISBN 978-9955-28-463-5 L. Sakalauskas C. Skadas and E. K. Zavadskas (Eds.): ASMDA-2009
More informationA multi-item production lot size inventory model with cycle dependent parameters
INERNAIONA JOURNA OF MAHEMAICA MODE AND MEHOD IN APPIED CIENCE A mul-em producon lo ze nvenory model wh cycle dependen parameer Zad. Balkh, Abdelazz Foul Abrac-In h paper, a mul-em producon nvenory model
More informationHow To Calculate Backup From A Backup From An Oal To A Daa
6 IJCSNS Inernaonal Journal of Compuer Scence and Nework Secury, VOL.4 No.7, July 04 Mahemacal Model of Daa Backup and Recovery Karel Burda The Faculy of Elecrcal Engneerng and Communcaon Brno Unversy
More informationOptimization Design of the Multi-stage Inventory Management for Supply Chain
Inernaonal Journal of u- an e- Servce, Scence an echnology Vol.8, o. 25, pp.35-366 hp://x.o.org/.4257/uness.25.8..34 Opmzaon Desgn of he ul-sage Invenory anagemen for Supply Chan Hongxng Deng*, ng Yuan
More informationCooperative Distributed Scheduling for Storage Devices in Microgrids using Dynamic KKT Multipliers and Consensus Networks
Cooperave Dsrbued Schedulng for Sorage Devces n Mcrogrds usng Dynamc KK Mulplers and Consensus Newors Navd Rahbar-Asr Yuan Zhang Mo-Yuen Chow Deparmen of Elecrcal and Compuer Engneerng Norh Carolna Sae
More informationLinear methods for regression and classification with functional data
Lnear mehods for regresson and classfcaon wh funconal daa Glber Sapora Chare de Sasue Appluée & CEDRIC Conservaore Naonal des Ars e Méers 9 rue San Marn, case 44 754 Pars cedex 3, France sapora@cnam.fr
More informationChapter 5. Aggregate Planning
Chaper 5 Aggregae Planning Supply Chain Planning Marix procuremen producion disribuion sales longerm Sraegic Nework Planning miderm shorerm Maerial Requiremens Planning Maser Planning Producion Planning
More informationSPC-based Inventory Control Policy to Improve Supply Chain Dynamics
Francesco Cosanno e al. / Inernaonal Journal of Engneerng and Technology (IJET) SPC-based Invenory Conrol Polcy o Improve Supply Chan ynamcs Francesco Cosanno #, Gulo Gravo #, Ahmed Shaban #3,*, Massmo
More informationHow Much Life Insurance is Enough?
How Much Lfe Insurance s Enough? Uly-Based pproach By LJ Rossouw BSTRCT The paper ams o nvesgae how much lfe nsurance proecon cover a uly maxmsng ndvdual should buy. Ths queson s relevan n he nsurance
More informationDEPARTMENT OF ECONOMETRICS AND BUSINESS STATISTICS. Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand
ISSN 440-77X ISBN 0 736 094 X AUSTRALIA DEPARTMENT OF ECONOMETRICS AND BUSINESS STATISTICS Exponenal Smoohng for Invenory Conrol: Means and Varances of Lead-Tme Demand Ralph D. Snyder, Anne B. Koehler,
More informationLinear Extension Cube Attack on Stream Ciphers Abstract: Keywords: 1. Introduction
Lnear Exenson Cube Aack on Sream Cphers Lren Dng Yongjuan Wang Zhufeng L (Language Engneerng Deparmen, Luo yang Unversy for Foregn Language, Luo yang cy, He nan Provnce, 47003, P. R. Chna) Absrac: Basng
More informationA Background Layer Model for Object Tracking through Occlusion
A Background Layer Model for Obec Trackng hrough Occluson Yue Zhou and Ha Tao Deparmen of Compuer Engneerng Unversy of Calforna, Sana Cruz, CA 95064 {zhou,ao}@soe.ucsc.edu Absrac Moon layer esmaon has
More informationWilmar Deliverable D6.2 (b) Wilmar Joint Market Model Documentation. Peter Meibom, Helge V. Larsen, Risoe National Laboratory
Rsø-R-1552(EN) Wlmar Delverable D6.2 (b) Wlmar Jon Marke Model Documenaon Peer Mebom, Helge V. Larsen, Rsoe Naonal Laboraory Rüdger Barh, Heke Brand, IER, Unversy of Sugar Chrsoph Weber, Olver Voll, Unversy
More informationApplying the Theta Model to Short-Term Forecasts in Monthly Time Series
Applyng he Thea Model o Shor-Term Forecass n Monhly Tme Seres Glson Adamczuk Olvera *, Marcelo Gonçalves Trenn +, Anselmo Chaves Neo ** * Deparmen of Mechancal Engneerng, Federal Technologcal Unversy of
More informationThe Sarbanes-Oxley Act and Small Public Companies
The Sarbanes-Oxley Ac and Small Publc Companes Smry Prakash Randhawa * June 5 h 2009 ABSTRACT Ths sudy consrucs measures of coss as well as benefs of mplemenng Secon 404 for small publc companes. In hs
More informationII. IMPACTS OF WIND POWER ON GRID OPERATIONS
IEEE Energy2030 Alana, Georga, USA 17-18 November 2008 Couplng Wnd Generaors wh eferrable Loads A. Papavaslou, and S. S. Oren UC Berkeley, eparmen of Indusral Engneerng and Operaons esearch, 4141 Echeverry
More informationEstimating intrinsic currency values
Cung edge Foregn exchange Esmang nrnsc currency values Forex marke praconers consanly alk abou he srenghenng or weakenng of ndvdual currences. In hs arcle, Jan Chen and Paul Dous presen a new mehodology
More informationSpline. Computer Graphics. B-splines. B-Splines (for basis splines) Generating a curve. Basis Functions. Lecture 14 Curves and Surfaces II
Lecure 4 Curves and Surfaces II Splne A long flexble srps of meal used by drafspersons o lay ou he surfaces of arplanes, cars and shps Ducks weghs aached o he splnes were used o pull he splne n dfferen
More informationHEURISTIC ALGORITHM FOR SINGLE RESOURCE CONSTRAINED PROJECT SCHEDULING PROBLEM BASED ON THE DYNAMIC PROGRAMMING
Yugoslav Journal o Operaons Research Volume 19 (2009) Number 2, 281-298 DOI:10.2298/YUJOR0902281S HEURISTIC ALGORITHM FOR SINGLE RESOURCE CONSTRAINED PROJECT SCHEDULING PROBLEM BASED ON THE DYNAMIC PROGRAMMING
More informationFixed Income Attribution. Remco van Eeuwijk, Managing Director Wilshire Associates Incorporated 15 February 2006
Fxed Incoe Arbuon eco van Eeuwk Managng Drecor Wlshre Assocaes Incorporaed 5 February 2006 Agenda Inroducon Goal of Perforance Arbuon Invesen Processes and Arbuon Mehodologes Facor-based Perforance Arbuon
More informationEvent Based Project Scheduling Using Optimized Ant Colony Algorithm Vidya Sagar Ponnam #1, Dr.N.Geethanjali #2
Inernaonal Journal of Compuer Trends and Technology (IJCTT) Volume 18 Number 6 Dec 2014 Even Based Projec Schedulng Usng Opmzed An Colony Algorhm Vdya Sagar Ponnam #1, Dr.N.Geehanjal #2 1 Research Scholar,
More informationAn Architecture to Support Distributed Data Mining Services in E-Commerce Environments
An Archecure o Suppor Dsrbued Daa Mnng Servces n E-Commerce Envronmens S. Krshnaswamy 1, A. Zaslavsky 1, S.W. Loke 2 School of Compuer Scence & Sofware Engneerng, Monash Unversy 1 900 Dandenong Road, Caulfeld
More informationA Reverse Logistics Model for the Distribution of Waste/By-products. Hamid Pourmohammadi, Maged Dessouky*, and Mansour Rahimi
A Reverse Logscs Model for he Dsrbuon of Wase/By-producs Hamd Pourmohammad, Maged Dessouy*, and Mansour Rahm Unversy of Souhern Calforna Epsen Deparmen of Indusral and Sysems Engneerng 375 McClnoc Avenue,
More informationAn Optimisation-based Approach for Integrated Water Resources Management
20 h Euroean Symosum on Comuer Aded Process Engneerng ESCAPE20 S Perucc and G Buzz Ferrars (Edors) 2010 Elsever BV All rghs reserved An Omsaon-based Aroach for Inegraed Waer Resources Managemen Songsong
More informationTime Series. A thesis. Submitted to the. Edith Cowan University. Perth, Western Australia. David Sheung Chi Fung. In Fulfillment of the Requirements
Mehods for he Esmaon of Mssng Values n Tme Seres A hess Submed o he Faculy of Communcaons, ealh and Scence Edh Cowan Unversy Perh, Wesern Ausrala By Davd Sheung Ch Fung In Fulfllmen of he Requremens For
More informationThe Cause of Short-Term Momentum Strategies in Stock Market: Evidence from Taiwan
he Cause of Shor-erm Momenum Sraeges n Sock Marke: Evdence from awan Hung-Chh Wang 1, Y. Angela Lu 2, and Chun-Hua Susan Ln 3+ 1 B. A. Dep.,C C U, and B. A. Dep., awan Shoufu Unversy, awan (.O.C. 2 Dep.
More informationFinance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C.
Fnance and Economcs Dscusson Seres Dvsons of Research & Sascs and Moneary Affars Federal Reserve Board, Washngon, D.C. Prcng Counerpary Rs a he Trade Level and CVA Allocaons Mchael Pyhn and Dan Rosen 200-0
More informationMethodology of the CBOE S&P 500 PutWrite Index (PUT SM ) (with supplemental information regarding the CBOE S&P 500 PutWrite T-W Index (PWT SM ))
ehodology of he CBOE S&P 500 PuWre Index (PUT S ) (wh supplemenal nformaon regardng he CBOE S&P 500 PuWre T-W Index (PWT S )) The CBOE S&P 500 PuWre Index (cker symbol PUT ) racks he value of a passve
More informationON THE INTEGRATED PRODUCTION, INVENTORY AND DISTRIBUTION ROUTING PROBLEM. By Shuguang Liu. A Dissertation submitted to the. Graduate School-Newark
ON THE INTEGRATED PRODUCTION INVENTORY AND DISTRIBUTION ROUTING PROBLEM By Shuguang Lu A Dsseraon submed o he Graduae School-Newark Rugers The Sae Unersy of New Jersey n paral fulfllmen of he requremens
More informationRESOLUTION OF THE LINEAR FRACTIONAL GOAL PROGRAMMING PROBLEM
Revsa Elecrónca de Comuncacones y Trabajos de ASEPUMA. Rec@ Volumen Págnas 7 a 40. RESOLUTION OF THE LINEAR FRACTIONAL GOAL PROGRAMMING PROBLEM RAFAEL CABALLERO rafael.caballero@uma.es Unversdad de Málaga
More informationPerformance Measurement for Traditional Investment
E D H E C I S K A N D A S S E T M A N A G E M E N T E S E A C H C E N T E erformance Measuremen for Tradonal Invesmen Leraure Survey January 007 Véronque Le Sourd Senor esearch Engneer a he EDHEC sk and
More informationAnalysis of intelligent road network, paradigm shift and new applications
CONFERENCE ABOUT THE STATUS AND FUTURE OF THE EDUCATIONAL AND R&D SERVICES FOR THE VEHICLE INDUSTRY Analyss of nellgen road nework, paradgm shf and new applcaons Péer Tamás "Smarer Transpor" - IT for co-operave
More informationBoosting for Learning Multiple Classes with Imbalanced Class Distribution
Boosng for Learnng Mulple Classes wh Imbalanced Class Dsrbuon Yanmn Sun Deparmen of Elecrcal and Compuer Engneerng Unversy of Waerloo Waerloo, Onaro, Canada y8sun@engmal.uwaerloo.ca Mohamed S. Kamel Deparmen
More informationRevision: June 12, 2010 215 E Main Suite D Pullman, WA 99163 (509) 334 6306 Voice and Fax
.3: Inucors Reson: June, 5 E Man Sue D Pullman, WA 9963 59 334 636 Voce an Fax Oerew We connue our suy of energy sorage elemens wh a scusson of nucors. Inucors, lke ressors an capacors, are passe wo-ermnal
More informationOptimal Taxation. 1 Warm-Up: The Neoclassical Growth Model with Endogenous Labour Supply. β t u (c t, L t ) max. t=0
Opmal Taxaon Reference: L&S 3rd edon chaper 16 1 Warm-Up: The Neoclasscal Growh Model wh Endogenous Labour Supply You looked a lle b a hs for Problem Se 3. Sudy planner s problem: max {c,l,,k +1 } =0 β
More informationThe Definition and Measurement of Productivity* Mark Rogers
The Defnon and Measuremen of Producvy* Mark Rogers Melbourne Insue of Appled Economc and Socal Research The Unversy of Melbourne Melbourne Insue Workng Paper No. 9/98 ISSN 1328-4991 ISBN 0 7325 0912 6
More informationProt sharing: a stochastic control approach.
Pro sharng: a sochasc conrol approach. Donaen Hanau Aprl 2, 2009 ESC Rennes. 35065 Rennes, France. Absrac A majory of lfe nsurance conracs encompass a guaraneed neres rae and a parcpaon o earnngs of he
More informationHow To Understand The Theory Of The Power Of The Market
Sysem Dynamcs models for generaon expanson plannng n a compeve framework: olgopoly and marke power represenaon J.J. Sánchez, J. Barquín, E. Ceneno, A. López-Peña Insuo de Invesgacón Tecnológca Unversdad
More informationThe Rules of the Settlement Guarantee Fund. 1. These Rules, hereinafter referred to as "the Rules", define the procedures for the formation
Vald as of May 31, 2010 The Rules of he Selemen Guaranee Fund 1 1. These Rules, herenafer referred o as "he Rules", defne he procedures for he formaon and use of he Selemen Guaranee Fund, as defned n Arcle
More informationEfficiency of General Insurance in Malaysia Using Stochastic Frontier Analysis (SFA)
Inernaonal Journal of Modern Engneerng Research (IJMER) www.jmer.com Vol., Issue.5, Sep-Oc. 01 pp-3886-3890 ISSN: 49-6645 Effcency of General Insurance n Malaysa Usng Sochasc Froner Analyss (SFA) Mohamad
More informationProceedings of the 2008 Winter Simulation Conference S. J. Mason, R. R. Hill, L. Mönch, O. Rose, T. Jefferson, J. W. Fowler eds.
Proceedngs of he 008 Wner Smulaon Conference S. J. Mason, R. R. Hll, L. Mönch, O. Rose, T. Jefferson, J. W. Fowler eds. DEMAND FORECAST OF SEMICONDUCTOR PRODUCTS BASED ON TECHNOLOGY DIFFUSION Chen-Fu Chen,
More informationThis research paper analyzes the impact of information technology (IT) in a healthcare
Producvy of Informaon Sysems n he Healhcare Indusry Nrup M. Menon Byungae Lee Lesle Eldenburg Texas Tech Unversy, College of Busness MS 2101, Lubbock, Texas 79409 menon@ba.u.edu The Unversy of Illnos a
More informationOUTPUT, OUTCOME, AND QUALITY ADJUSTMENT IN MEASURING HEALTH AND EDUCATION SERVICES
bs_bs_banner row_504 257..278 Revew of Income and Wealh Seres 58, Number 2, June 2012 DOI: 10.1111/j.1475-4991.2012.00504.x OUTPUT, OUTCOME, AND QUALITY ADJUSTMENT IN MEASURING HEALTH AND EDUCATION SERVICES
More informationScaling Up POMDPs for Dialog Management: The Summary POMDP Method. Jason D. Williams and Steve Young
Scalng Up POMDPs for Dalog Managemen: The Summary POMDP Mehod Jason D. Wllams and Seve Young Cambrdge Unversy Engneerng Deparmen Trumpngon Sree, Cambrdge CB2 1PZ, UK jdw30@cam.ac.uk sjy@eng.cam.ac.uk BSTRCT
More informationAn Introductory Study on Time Series Modeling and Forecasting
An Inroducory Sudy on Tme Seres Modelng and Forecasng Ranadp Adhkar R. K. Agrawal ACKNOWLEDGEMENT The mely and successful compleon of he book could hardly be possble whou he helps and suppors from a lo
More informationAuxiliary Module for Unbalanced Three Phase Loads with a Neutral Connection
CODEN:LUTEDX/TEIE-514/1-141/6 Indusral Elecrcal Engneerng and Auomaon Auxlary Module for Unbalanced Three Phase Loads wh a Neural Connecon Nls Lundsröm Rkard Sröman Dep. of Indusral Elecrcal Engneerng
More informationOptimization of Nurse Scheduling Problem with a Two-Stage Mathematical Programming Model
Asa Pacfc Managemen Revew 15(4) (2010) 503-516 Opmzaon of Nurse Schedulng Problem wh a Two-Sage Mahemacal Programmng Model Chang-Chun Tsa a,*, Cheng-Jung Lee b a Deparmen of Busness Admnsraon, Trans World
More informationDOCUMENTOS DE ECONOMIA Y FINANZAS INTERNACIONALES
DOCUMENTOS DE ECONOMI Y FINNZS INTERNCIONLES INTERTEMPORL CURRENT CCOUNT ND PRODUCTIVITY SHOCKS: EVIDENCE FOR SOME EUROPEN COUNTRIES Fernando Perez de Graca Juncal Cuñado prl 2001 socacón Española de Economía
More informationWhat influences the growth of household debt?
Wha nfluences he growh of household deb? Dag Hennng Jacobsen, economs n he Secures Markes Deparmen, and Bjørn E. Naug, senor economs n he Research Deparmen 1 Household deb has ncreased by 10 11 per cen
More informationInsurance. By Mark Dorfman, Alexander Kling, and Jochen Russ. Abstract
he Impac Of Deflaon On Insurance Companes Offerng Parcpang fe Insurance y Mar Dorfman, lexander Klng, and Jochen Russ bsrac We presen a smple model n whch he mpac of a deflaonary economy on lfe nsurers
More information[ ] Econ4415 International trade. Trade with monopolistic competition and transportation costs
Econ445 Inernaonal rade Trade wh monopolsc compeon and ransporaon coss We have nroduced some basc feaures of he Dx-Sglz modellng approach. We shall now also nroduce rade coss n he Dx-Sglz framework. I
More informationNetwork Effects on Standard Software Markets: A Simulation Model to examine Pricing Strategies
Nework Effecs on Sandard Sofware Markes Page Nework Effecs on Sandard Sofware Markes: A Smulaon Model o examne Prcng Sraeges Peer Buxmann Absrac Ths paper examnes sraeges of sandard sofware vendors, n
More informationA Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM
A Hybrd Mehod for Forecasng Sock Marke Trend Usng Sof-Thresholdng De-nose Model and SVM Xueshen Su, Qnghua Hu, Daren Yu, Zongxa Xe, and Zhongyng Q Harbn Insue of Technology, Harbn 150001, Chna Suxueshen@Gmal.com
More informationOmar Shatnawi. Eks p l o a t a c j a i Ni e z a w o d n o s c Ma in t e n a n c e a n d Reliability Vo l.16, No. 4, 2014 585. 1.
Arcle caon nfo: Shanaw O. Measurng commercal sofware operaonal relably: an nerdscplnary modellng approach. Esploaacja Nezawodnosc Manenance and Relably 014; 16 (4): 585 594. Omar Shanaw Measurng commercal
More information(Im)possibility of Safe Exchange Mechanism Design
(Im)possbly of Safe Exchange Mechansm Desgn Tuomas Sandholm Compuer Scence Deparmen Carnege Mellon Unversy 5 Forbes Avenue Psburgh, PA 15213 sandholm@cs.cmu.edu XaoFeng Wang Deparmen of Elecrcal and Compuer
More informationA Real-time Adaptive Traffic Monitoring Approach for Multimedia Content Delivery in Wireless Environment *
A Real-e Adapve Traffc Monorng Approach for Muleda Conen Delvery n Wreless Envronen * Boonl Adpa and DongSong Zhang Inforaon Syses Deparen Unversy of Maryland, Balore Couny Balore, MD, U.S.A. bdpa1@ubc.edu,
More informationBest estimate calculations of saving contracts by closed formulas Application to the ORSA
Bes esmae calculaons of savng conracs by closed formulas Applcaon o he ORSA - Franços BONNIN (Ala) - Frédérc LANCHE (Unversé Lyon 1, Laboraore SAF) - Marc JUILLARD (Wner & Assocés) 01.5 (verson modfée
More informationA Theory of the Risks of Venture Capital Financing
Amercan Journal of Economcs and Busness Admnsraon 1 (): 194-05, 009 ISSN 1945-5488 009 Scence Publcaons A heory of he Rsks of Venure Capal Fnancng Edmund H. Manell Deparmen of Fnance, Lubn School of Busness,
More informationt φρ ls l ), l = o, w, g,
Reservor Smulaon Lecure noe 6 Page 1 of 12 OIL-WATER SIMULATION - IMPES SOLUTION We have prevously lsed he mulphase flow equaons for one-dmensonal, horzonal flow n a layer of consan cross seconal area
More informationTECNICHE DI DIAGNOSI AUTOMATICA DEI GUASTI. Silvio Simani silvio.simani@unife.it. References
TECNICHE DI DIAGNOSI AUTOMATICA DEI GUASTI Re Neural per l Idenfcazone d Ssem non Lnear e Paern Recognon slvo.sman@unfe. References Texbook suggesed: Neural Neworks for Idenfcaon, Predcon, and Conrol,
More informationPavel V. Shevchenko Quantitative Risk Management. CSIRO Mathematical & Information Sciences. Bridging to Finance
Pavel V. Shevchenko Quanave Rsk Managemen CSIRO Mahemacal & Informaon Scences Brdgng o Fnance Conference Quanave Mehods n Invesmen and Rsk Managemen: sourcng new approaches from mahemacal heory and he
More informationMORE ON TVM, "SIX FUNCTIONS OF A DOLLAR", FINANCIAL MECHANICS. Copyright 2004, S. Malpezzi
MORE ON VM, "SIX FUNCIONS OF A DOLLAR", FINANCIAL MECHANICS Copyrgh 2004, S. Malpezz I wan everyone o be very clear on boh he "rees" (our basc fnancal funcons) and he "fores" (he dea of he cash flow model).
More informationPARTICLE FILTER BASED VEHICLE TRACKING APPROACH WITH IMPROVED RESAMPLING STAGE
ISS: 0976-910(OLIE) ICTACT JOURAL O IMAGE AD VIDEO PROCESSIG, FEBRUARY 014, VOLUME: 04, ISSUE: 03 PARTICLE FILTER BASED VEHICLE TRACKIG APPROACH WITH IMPROVED RESAMPLIG STAGE We Leong Khong 1, We Yeang
More informationNonparametric deconvolution of hormone time-series: A state-space approach *
onparamerc deconvoluon of hormone me-seres: A sae-space approach * Guseppe De colao, Gancarlo Ferrar recae, Marco Franzos Dparmeno d Informaca e Ssemsca Unversà degl Sud d Pava Va Ferraa 7 Pava (Ialy el:
More informationFINANCIAL CONSTRAINTS, THE USER COST OF CAPITAL AND CORPORATE INVESTMENT IN AUSTRALIA
FINANCIAL CONSTRAINTS THE USER COST OF CAPITAL AND CORPORATE INVESTMENT IN AUSTRALIA Gann La Cava Research Dscusson Paper 2005-2 December 2005 Economc Analyss Reserve Bank of Ausrala The auhor would lke
More informationHEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD
Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,
More informationModelling Operational Risk in Financial Institutions using Hybrid Dynamic Bayesian Networks. Authors:
Modellng Operaonal Rsk n Fnancal Insuons usng Hybrd Dynamc Bayesan Neworks Auhors: Professor Marn Nel Deparmen of Compuer Scence, Queen Mary Unversy of London, Mle nd Road, London, 1 4NS, Uned Kngdom Phone:
More informationCONTROLLER PERFORMANCE MONITORING AND DIAGNOSIS. INDUSTRIAL PERSPECTIVE
Copyrgh IFAC 5h Trennal World Congress, Barcelona, Span CONTROLLER PERFORMANCE MONITORING AND DIAGNOSIS. INDUSTRIAL PERSPECTIVE Derrck J. Kozub Shell Global Soluons USA Inc. Weshollow Technology Cener,
More informationLoad Balancing in Internet Using Adaptive Packet Scheduling and Bursty Traffic Splitting
152 IJCSNS Inernaonal Journal of Compuer Scence and Nework Secury, VOL.8 No.1, Ocober 28 Load Balancng n Inerne Usng Adapve Packe Schedulng and Bursy Traffc Splng M. Azah Research Scholar, Anna Unversy,
More informationThe Greedy Method. Introduction. 0/1 Knapsack Problem
The Greedy Method Introducton We have completed data structures. We now are gong to look at algorthm desgn methods. Often we are lookng at optmzaton problems whose performance s exponental. For an optmzaton
More informationSocial security, education, retirement and growth*
Hacenda P úblca Espa ñola / Revsa de Econom ía P úblca, 198-(3/2011): 9-36 2011, Insuo de Esudos Fscales Socal secury, educaon, reremen and growh* CRUZ A. ECHEVARR ÍA AMAIA IZA** Unversdad del Pa ís Vasco
More informationTax Deductions, Consumption Distortions, and the Marginal Excess Burden of Taxation
a Deducons, Consumpon Dsorons, and he argnal Ecess Burden of aaon Ian W. H. Parry Dscusson Paper 99-48 Augus 999 66 P Sree, NW Washngon, DC 20036 elephone 202-328-5000 Fa 202-939-3460 Inerne: hp://www.rff.org
More informationWhat Explains Superior Retail Performance?
Wha Explans Superor Real Performance? Vshal Gaur, Marshall Fsher, Ananh Raman The Wharon School, Unversy of Pennsylvana vshal@grace.wharon.upenn.edu fsher@wharon.upenn.edu Harvard Busness School araman@hbs.edu
More informationStochastic Optimal Control Problem for Life Insurance
Sochasic Opimal Conrol Problem for Life Insurance s. Basukh 1, D. Nyamsuren 2 1 Deparmen of Economics and Economerics, Insiue of Finance and Economics, Ulaanbaaar, Mongolia 2 School of Mahemaics, Mongolian
More informationUsing Cellular Automata for Improving KNN Based Spam Filtering
The Inernaonal Arab Journal of Informaon Technology, Vol. 11, No. 4, July 2014 345 Usng Cellular Auomaa for Improvng NN Based Spam Flerng Faha Bargou, Bouzane Beldjlal, and Baghdad Aman Compuer Scence
More informationContract design and insurance fraud: an experimental investigation *
Conrac desgn and nsurance fraud: an expermenal nvesgaon * Frauke Lammers and Jörg Schller Absrac Ths paper nvesgaes he mpac of nsurance conrac desgn on he behavor of flng fraudulen clams n an expermenal
More informationDistribution Channel Strategy and Efficiency Performance of the Life insurance. Industry in Taiwan. Abstract
Dsrbuon Channel Sraegy and Effcency Performance of he Lfe nsurance Indusry n Tawan Absrac Changes n regulaons and laws he pas few decades have afeced Tawan s lfe nsurance ndusry and caused many nsurers
More information