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  <Table>
   <Row>
    <Cell>Activity-based costing for production learning</Cell>
    <Cell>1999</Cell>
    <Cell>Andrade</Cell>
    <Cell>M.C.</Cell>
    <Cell>Pessanha Filho, R.C., Espozel, A.M., Maia, L.O.A., Qassim, R.Y.</Cell>
    <Cell>Internation Journal of Production Economics</Cell>
    <Cell>62</Cell>
    
    <Cell>175-180</Cell>
    <Cell>ABC</Cell>
   </Row>
   <Row>
    <Cell>Design determines 70% of cost? A review of implications for design evaluation</Cell>
    <Cell>2001</Cell>
    <Cell>Barton</Cell>
    <Cell>J.A.</Cell>
    <Cell>Love, D.M., Taylor, G.D.</Cell>
    <Cell>Journal of Engineering Design</Cell>
    <Cell>12</Cell>
    <Cell>1</Cell>
    <Cell>47-58</Cell>
    <Cell>Design, cost</Cell>
   </Row>
   <Row>
    <Cell>Decision support with neural networks in the management of research and development: Concepts and application to cost estimation</Cell>
    <Cell>1998</Cell>
    <Cell>Bode</Cell>
    <Cell>J.</Cell>
    
    <Cell>Information and Management</Cell>
    <Cell>34</Cell>
    
    <Cell>33-40</Cell>
    <Cell>Neural networks</Cell>
   </Row>
   <Row>
    <Cell>Parametric vs. neural network models for the estimation of production costs: A case study in the automotive industry</Cell>
    <Cell>2004</Cell>
    <Cell>Cavalieri</Cell>
    <Cell>S.</Cell>
    <Cell>Maccarrone, P., Pinto, R.</Cell>
    <Cell>International Journal of Production Economics</Cell>
    <Cell>91</Cell>
    
    <Cell>165-177</Cell>
    <Cell>NN, PCE, target costing</Cell>
   </Row>
   <Row>
    <Cell>Cost evaluation in design with form features</Cell>
    <Cell>1996</Cell>
    <Cell>Chang-Xue</Cell>
    <Cell>J.F.</Cell>
    <Cell>Kusiak, A., Huang, C.C.</Cell>
    <Cell>Computer Aided Design</Cell>
    <Cell>28</Cell>
    <Cell>11</Cell>
    <Cell>879-885</Cell>
    <Cell>feature based design, DFM, cost estimation</Cell>
   </Row>
   <Row>
    <Cell>IC manufacturing test cost estimation at early stages of the design cycle</Cell>
    <Cell>1999</Cell>
    <Cell>Chen</Cell>
    <Cell>T.</Cell>
    <Cell>Kim, V.K., Tegethoff, M.</Cell>
    <Cell>Microelectronics Journal</Cell>
    <Cell>30</Cell>
    
    <Cell>733-738</Cell>
    <Cell>Manufacturing test cost; Cost model; Cost prediction; Test time</Cell>
   </Row>
   <Row>
    <Cell>Mooresville Honda Company: a case in forensic accounting&#160;</Cell>
    <Cell>2004</Cell>
    <Cell>Coller</Cell>
    <Cell>M.</Cell>
    <Cell>Harrison, G.W., Spiller E.A.Jr.</Cell>
    <Cell>Journal of Accounting Education</Cell>
    <Cell>22</Cell>
    
    <Cell>69-94</Cell>
    <Cell>Cost estimation; Cost-volume profit analysis; Legal damages</Cell>
   </Row>
   <Row>
    <Cell>Review of aerospace engineering cost modelling: The genetic causal approach.pdf</Cell>
    <Cell>2004</Cell>
    <Cell>Curran</Cell>
    <Cell>R.</Cell>
    <Cell>Raghunathan, S., Price, M.</Cell>
    <Cell>Progress in Aerospace Sciences</Cell>
    <Cell>40</Cell>
    
    <Cell>487-534</Cell>
    
   </Row>
   <Row>
    <Cell>Assessing effort estimation models for corrective maintenance through empirical studies</Cell>
    <Cell>2005</Cell>
    <Cell>De Lucia</Cell>
    <Cell>A.</Cell>
    <Cell>Pompella, E., Stefanucci, S.</Cell>
    <Cell>Information and Software Technology</Cell>
    <Cell>47</Cell>
    
    <Cell>3-15</Cell>
    <Cell>Management, measurement, software LCC</Cell>
   </Row>
   <Row>
    <Cell>Incorporating cost modelling in embedded-system design</Cell>
    <Cell>2000</Cell>
    <Cell>Debardelaben</Cell>
    <Cell>J.A.</Cell>
    <Cell>Madisetti, V.K., Gadient, A.J.</Cell>
    <Cell>IEEE Design &amp; Test of Computers (July-September 97)</Cell>
    
    
    <Cell>24-35</Cell>
    <Cell>Embedded systems cost and time estimation</Cell>
   </Row>
   <Row>
    <Cell>Cost Estimation During Design Step: Parametric Method versus Case Based Reasoning Method</Cell>
    <Cell>1999</Cell>
    <Cell>Duverlie</Cell>
    <Cell>P.</Cell>
    <Cell>Castelain, J.M.</Cell>
    <Cell>Advanced Manufacturing Technology</Cell>
    <Cell>15</Cell>
    
    <Cell>895-906</Cell>
    <Cell>Case based reasoning; Design; Manufacturing cost estimation; Parametric method</Cell>
   </Row>
   <Row>
    <Cell>A Decision Support System for Advanced Composites Manufacturing Cost Estimation</Cell>
    <Cell>1998</Cell>
    <Cell>Eaglesham</Cell>
    <Cell>M.A.</Cell>
    
    <Cell>Ph.D. thesis, Virginia Polytechnic Institute and State University</Cell>
    
    
    
    
   </Row>
   <Row>
    <Cell>Supply management's involvement in the target costing process</Cell>
    <Cell>2002</Cell>
    <Cell>Ellram</Cell>
    <Cell>L.M.</Cell>
    
    <Cell>European journal of Purchasing and Supply Management</Cell>
    <Cell>8</Cell>
    
    <Cell>235-244</Cell>
    <Cell>Target costing</Cell>
   </Row>
   <Row>
    <Cell>ECOM - ESA's COst Modelling</Cell>
    
    <Cell>Fatelnig</Cell>
    <Cell>P.K.</Cell>
    
    <Cell>???</Cell>
    
    
    <Cell>213-213</Cell>
    <Cell>Historical data, aerospace, CER, parametric Cost Estimation</Cell>
   </Row>
   <Row>
    <Cell>An integrated business modelling technique for decision support in the manufacturing environment</Cell>
    <Cell>1997</Cell>
    <Cell>Fernihough</Cell>
    <Cell>A.M.</Cell>
    <Cell>Culley, S.J., Mileham, A.R.</Cell>
    <Cell>Concurrent Engineering: Research and Applications</Cell>
    <Cell>5</Cell>
    <Cell>1</Cell>
    <Cell>5-12</Cell>
    <Cell>Manufacturing simulator, activity-based cost model, strategic business model</Cell>
   </Row>
   <Row>
    <Cell>Automated design-to-cost: integrating costing into the design decision</Cell>
    <Cell>1996</Cell>
    <Cell>Geiger</Cell>
    <Cell>T.S.</Cell>
    <Cell>Dilts, D.M.</Cell>
    <Cell>Computer-Aided Design</Cell>
    <Cell>28</Cell>
    <Cell>6-7</Cell>
    <Cell>423-438</Cell>
    <Cell>Design to cost</Cell>
   </Row>
   <Row>
    <Cell>Improving activity-based costing heuristics by higher-level cost drivers</Cell>
    <Cell>2004</Cell>
    <Cell>Homburg</Cell>
    <Cell>C.</Cell>
    
    <Cell>European Journal of Operational Research</Cell>
    <Cell>157</Cell>
    
    <Cell>332-343</Cell>
    <Cell>ABC, overheads, heuristics</Cell>
   </Row>
   <Row>
    <Cell>Predicting product manufacturing costs from design attributes: a complexity theory approach</Cell>
    <Cell>1996</Cell>
    <Cell>Hoult</Cell>
    <Cell>D.P.</Cell>
    <Cell>Meador, C.L.</Cell>
    <Cell>Society of Automotive Engineerings, International Congress And Exposition, Detroit, Michigan, February 26-29</Cell>
    
    
    <Cell>1-14</Cell>
    <Cell>Measuring complexity, uniform metric</Cell>
   </Row>
   <Row>
    <Cell>Evaluation of the cost performance of the SOFC cell in the market</Cell>
    <Cell>1996</Cell>
    <Cell>Ippommatsu</Cell>
    <Cell>M.</Cell>
    <Cell>Sasaki, H., Otoshi, S.</Cell>
    <Cell>International Journal of Hydrogen Energy</Cell>
    <Cell>21</Cell>
    <Cell>2</Cell>
    <Cell>129-135</Cell>
    <Cell>Solid Oxide Fuel Cells (SOFC), manufacturing cost</Cell>
   </Row>
   <Row>
    <Cell>Stochastic frontier estimation of a CES cost function: the case of higher education in Britain</Cell>
    <Cell>1999</Cell>
    <Cell>Izadi</Cell>
    <Cell>H.</Cell>
    <Cell>Johnes, G., Oskrochi, R., Crouchley, R.</Cell>
    <Cell>Centre For Research in the Economics of Education (CREED 1/97) (???)</Cell>
    
    
    <Cell>1-16</Cell>
    <Cell>Stochastic frontier; Education</Cell>
   </Row>
   <Row>
    <Cell>Probabilistic cost estimation in advance of production in a computerized manufacturing system through stochastic geometric programming </Cell>
    <Cell>1996</Cell>
    <Cell>Jha</Cell>
    <Cell>N.K.</Cell>
    
    <Cell>Computers Industrial Engineering</Cell>
    <Cell>30</Cell>
    <Cell>4</Cell>
    <Cell>809-821</Cell>
    <Cell>Stochastic cost optimisation, inventory cost, penalty cost</Cell>
   </Row>
   <Row>
    <Cell>Manufacturing cost estimation for machined parts based on manufacturing features</Cell>
    <Cell>2002</Cell>
    <Cell>Jung</Cell>
    <Cell>J.Y.</Cell>
    
    <Cell>Journal of Intelligent Manufacturing</Cell>
    <Cell>13</Cell>
    
    <Cell>227-238</Cell>
    <Cell>Features, machined parts</Cell>
   </Row>
   <Row>
    <Cell>Size and effort estimation for applications written in Java</Cell>
    <Cell>2004</Cell>
    <Cell>Kaczmarek</Cell>
    <Cell>J.</Cell>
    <Cell>Kucharski, M.</Cell>
    <Cell>Information and Software Technology</Cell>
    <Cell>46</Cell>
    
    <Cell>589-601</Cell>
    <Cell>Software size estimation; Java; Object oriented</Cell>
   </Row>
   <Row>
    <Cell>Target costing support systems: lessons from leading Japanese companies</Cell>
    <Cell>1993</Cell>
    <Cell>Kato</Cell>
    <Cell>Y.</Cell>
    
    <Cell>Management Accounting Research</Cell>
    <Cell>4</Cell>
    
    <Cell>33-47</Cell>
    <Cell>Target costing</Cell>
   </Row>
   <Row>
    <Cell>Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning</Cell>
    <Cell>2004</Cell>
    <Cell>Kim</Cell>
    <Cell>G.H.</Cell>
    <Cell>An, S.H., Kang, K.I.</Cell>
    <Cell>Building and Environment</Cell>
    <Cell>39</Cell>
    
    <Cell>1235-1242</Cell>
    <Cell>Cost estimation, NN, Case based reasoning, regression</Cell>
   </Row>
   <Row>
    <Cell>Artificial neural networks with evolutionary instance selection for financial forecasting&#160;</Cell>
    <Cell>2006</Cell>
    <Cell>Kim</Cell>
    <Cell>K.J.</Cell>
    
    <Cell>Expert Systems with Applications</Cell>
    <Cell>30</Cell>
    
    <Cell>519-526</Cell>
    <Cell>Instance selection; Genetic algorithms; Artificial neural networks; Financial forecasting</Cell>
   </Row>
   <Row>
    <Cell>A knowledge-based decision support system for cost estimation and pricing decisions in versatile manufacturing companies</Cell>
    <Cell>1997</Cell>
    <Cell>Kingsman</Cell>
    <Cell>B.G.</Cell>
    <Cell>de Souza, A.A.</Cell>
    <Cell>International Journal of Production Economics</Cell>
    <Cell>53</Cell>
    
    <Cell>119-139</Cell>
    <Cell>Make-to-order manufacturing; Engineer-to-order manufacturing; Cost estimation; Pricing; Decision support systems; Enquiry management; Bidding; Versatile manufacturing </Cell>
   </Row>
   <Row>
    <Cell>Petri net techniques for process planning cost estimation </Cell>
    <Cell>1999</Cell>
    <Cell>Kiritsis</Cell>
    <Cell>D.</Cell>
    <Cell>Neuendorfa, K.P., Xirouchakis, P.</Cell>
    <Cell>Advances in Engineering Software</Cell>
    <Cell>30</Cell>
    
    <Cell>375-387</Cell>
    <Cell>CAPP; Cost; Petri net modelling</Cell>
   </Row>
   <Row>
    <Cell>A fuzzy approach to handle subjectivity in life cycle costing</Cell>
    <Cell>2000</Cell>
    <Cell>Kishk</Cell>
    <Cell>M.</Cell>
    <Cell>Al-Hajj, A.</Cell>
    <Cell>National Conference of Postgraduate Research in the Built Environment, University of Salford, 9-10 March</Cell>
    <Cell>1</Cell>
    
    <Cell>270-280</Cell>
    <Cell>Fuzzy set theory, Life Cycle Costing (LCC), uncertainty</Cell>
   </Row>
   <Row>
    <Cell>Activity-based-costing applied to calculate the cost of heart transplant&#160;</Cell>
    <Cell>2004</Cell>
    <Cell>Lazaro</Cell>
    <Cell>M.</Cell>
    <Cell>Lopez Del Amo, P., Escribano, P., Romero, C., Martin, J., Delgado, J.F., Gomez, M.A., Saenz, C.</Cell>
    <Cell>European Journal of Heart Failure Supplements</Cell>
    <Cell>3</Cell>
    <Cell>1</Cell>
    <Cell>8-8</Cell>
    <Cell>ABC, heart transplant</Cell>
   </Row>
   <Row>
    <Cell>Software development cost estimation: Integrating neural network with cluster analysis</Cell>
    <Cell>1998</Cell>
    <Cell>Lee</Cell>
    <Cell>A.</Cell>
    <Cell>Cheng, C.H., Balakrishnan, J.</Cell>
    <Cell>Information &amp; Management</Cell>
    <Cell>34</Cell>
    
    <Cell>1-9</Cell>
    <Cell>Software development cost; Neural network; Cluster analysis; Machine learning</Cell>
   </Row>
   <Row>
    <Cell>Cost modelling: an effective means to compare alternatives</Cell>
    <Cell>1995</Cell>
    <Cell>Lenz</Cell>
    <Cell>J.</Cell>
    <Cell>Neitzel, R.</Cell>
    <Cell>Industrial Engineering, January 1995</Cell>
    
    
    <Cell>18-19</Cell>
    <Cell>Factory modelling</Cell>
   </Row>
   <Row>
    <Cell>Activity-based costing: a practical model for cost calculation in radiotherapy</Cell>
    <Cell>2003</Cell>
    <Cell>Lievens</Cell>
    <Cell>Y.</Cell>
    <Cell>Van Den Bogaert, W., Kesteloot, K.</Cell>
    <Cell>International Journal of Radiation Oncology Biology Physics</Cell>
    <Cell>57</Cell>
    <Cell>2</Cell>
    <Cell>522-535</Cell>
    <Cell>ABC, radiotherapy</Cell>
   </Row>
   <Row>
    <Cell>Cost data analysis for the food industry</Cell>
    <Cell>2005</Cell>
    <Cell>Marouli</Cell>
    <Cell>A.Z.</Cell>
    <Cell>Maroulis, Z.B.</Cell>
    <Cell>Journal of Food Engineering</Cell>
    <Cell>67</Cell>
    
    <Cell>289-299</Cell>
    <Cell>Fixed capital cost; Equipment cost; Raw materials cost; Utilities cost; Annual operating cost; Food factories; Food plant design; Cost estimation; Labor cost; Land cost; Product cost; Manpower; Buildings construction cost; Plant capacity</Cell>
   </Row>
   <Row>
    <Cell>A computer aided cost estimation system for BGA/DCA technology</Cell>
    <Cell>1996</Cell>
    <Cell>Nagarajan</Cell>
    <Cell>K.</Cell>
    <Cell>Santos, D.L., Srihar, K.</Cell>
    <Cell>Computers and Industrial Engineering</Cell>
    <Cell>31</Cell>
    <Cell>1-2</Cell>
    <Cell>119-122</Cell>
    <Cell>Electronics manufacturing Ball grid arrays, Direct chip attach, Computer aided cost estimation, Software integration</Cell>
   </Row>
   <Row>
    <Cell>Application of nanofiltration for coffee extraction concentration</Cell>
    <Cell>2004</Cell>
    <Cell>Nicze</Cell>
    <Cell>I.</Cell>
    <Cell>Vatai, G.</Cell>
    <Cell>Desalination</Cell>
    <Cell>162</Cell>
    
    <Cell>287-294</Cell>
    <Cell>Coffee extract, simple parametric cost equation</Cell>
   </Row>
   <Row>
    <Cell>Manufacturing cost estimation for PCB assembly: an activity-based approach</Cell>
    <Cell>2000</Cell>
    <Cell>Ong</Cell>
    <Cell>N.S.</Cell>
    
    <Cell>International Journal of Production Economics</Cell>
    <Cell>38</Cell>
    
    <Cell>159-172</Cell>
    <Cell>Activity-based cost estimation, cost charts, build-up tables</Cell>
   </Row>
   <Row>
    <Cell>Modelling and visualising life cycle cost data in an integrated environment</Cell>
    
    <Cell>Osbaldiston</Cell>
    <Cell>S.J.</Cell>
    <Cell>Aouad, G.</Cell>
    
    
    
    <Cell>281-290</Cell>
    <Cell>Life Cycle Cost, integrated environments, Object Oriented, Virtual Reality</Cell>
   </Row>
   <Row>
    <Cell>Activity-based cost estimation in a push/pull advanced manufacturing system&#160;</Cell>
    <Cell>2004</Cell>
    <Cell>Ozbayrak</Cell>
    <Cell>M.</Cell>
    <Cell>Akgun, M., Turker, A.K.</Cell>
    <Cell>International Journal of Production Economics</Cell>
    <Cell>87</Cell>
    
    <Cell>49-65</Cell>
    <Cell>ABC, JIT, MRP</Cell>
   </Row>
   <Row>
    <Cell>Risk analysis in fixed-price design–build construction projects</Cell>
    <Cell>2004</Cell>
    <Cell>Oztas</Cell>
    <Cell>A.</Cell>
    <Cell>Okmen, O.</Cell>
    <Cell>Building and Environment</Cell>
    <Cell>39</Cell>
    
    <Cell>229-237</Cell>
    <Cell>Risk analysis; Construction; Contract system; Design–build; Monte Carlo simulation</Cell>
   </Row>
   <Row>
    <Cell>Multi-agent system for cost estimation</Cell>
    <Cell>1996</Cell>
    <Cell>Ping</Cell>
    <Cell>L.</Cell>
    <Cell>Yongtong, H., Bode, J., Shouju, R.</Cell>
    <Cell>Computers &amp; Industrial Engineering</Cell>
    <Cell>31</Cell>
    <Cell>3</Cell>
    <Cell>731-735</Cell>
    <Cell>Multi-agent, Cost Estimation, Function classification, Dynamic Optimization of Structure</Cell>
   </Row>
   <Row>
    <Cell>Methodology for a physico-economic product evaluation, starting in the design phase</Cell>
    <Cell>1996</Cell>
    <Cell>Raviart</Cell>
    <Cell>D.</Cell>
    <Cell>Sénéchal, O., Tahon, C.</Cell>
    <Cell>Control Engineering Practice</Cell>
    <Cell>6</Cell>
    
    <Cell>489-498</Cell>
    <Cell>Concurrent engineering, manufacturing process systems, design, modelling, performance evaluation</Cell>
   </Row>
   <Row>
    <Cell>A methodology for modelling manufacturing costs at conceptual design</Cell>
    <Cell>1998</Cell>
    <Cell>Rehman</Cell>
    <Cell>S.</Cell>
    <Cell>Guenov, M.D.</Cell>
    <Cell>Computers Industrial Engineering</Cell>
    <Cell>35</Cell>
    <Cell>3</Cell>
    <Cell>623-626</Cell>
    <Cell>Cost modelling; expert systems; case-based design; innovative design support; blackboard architectures</Cell>
   </Row>
   <Row>
    <Cell>Software cost estimation using an Albus perceptron</Cell>
    <Cell>1997</Cell>
    <Cell>Samson</Cell>
    <Cell>B.</Cell>
    <Cell>Ellison, D., Dugard, P.</Cell>
    <Cell>Information and Software Technology</Cell>
    <Cell>39</Cell>
    
    <Cell>55-60</Cell>
    <Cell>Cost estimation: Neural nets; CMAC: COCOMO</Cell>
   </Row>
   <Row>
    <Cell>Cost modelling for aircraft design optimization</Cell>
    <Cell>2002</Cell>
    <Cell>Scanlan</Cell>
    <Cell>J.</Cell>
    <Cell>Hill, T., Marsh, R., Bru, C., Dunkley, M., Cleevely, P.</Cell>
    <Cell>Journal of Engineering Design</Cell>
    <Cell>13</Cell>
    <Cell>3</Cell>
    <Cell>261-269</Cell>
    <Cell>Multiple levels of abstraction, statistical modelling</Cell>
   </Row>
   <Row>
    <Cell>Software productivity and effort prediction with ordinal regression</Cell>
    <Cell>2005</Cell>
    <Cell>Sentas</Cell>
    <Cell>P.</Cell>
    <Cell>Angelis, L., Stamelos, I., Bleris, G.</Cell>
    <Cell>Information and Software Technology</Cell>
    <Cell>45</Cell>
    
    <Cell>17-29</Cell>
    <Cell>Software cost estimation; Interval prediction; Ordinal regression</Cell>
   </Row>
   <Row>
    <Cell>Manufacturing cost modelling for concurrent product development</Cell>
    <Cell>2001</Cell>
    <Cell>Shehab</Cell>
    <Cell>E.M.</Cell>
    <Cell>Abdalla, H.S.</Cell>
    <Cell>Robotics and Computer-Integrated Manufacturing</Cell>
    <Cell>17</Cell>
    
    <Cell>341-353</Cell>
    <Cell>Feature based design, fuzzy logic</Cell>
   </Row>
   <Row>
    <Cell>A design to cost system for innovative product development</Cell>
    <Cell>2002</Cell>
    <Cell>Shehab</Cell>
    <Cell>E.M.</Cell>
    <Cell>Abdalla, H.S.</Cell>
    <Cell>Proceedings of the Institution of Mechanical Engineers</Cell>
    <Cell>216</Cell>
    
    <Cell>999-1019</Cell>
    <Cell>Feature based design, fuzzy logic</Cell>
   </Row>
   <Row>
    <Cell>Optimal signal multi-resolution by genetic algorithms to support artificial neural networks for exchange-rate forecasting</Cell>
    <Cell>2000</Cell>
    <Cell>Shin</Cell>
    <Cell>T.</Cell>
    <Cell>Han, I.</Cell>
    <Cell>Expert Systems with Applications</Cell>
    <Cell>18</Cell>
    
    <Cell>257-269</Cell>
    <Cell>Artificial neural networks; Foreign-exchange rate markets; Chaos analysis; Genetic algorithms; Hill-climbing algorithms; Wavelet transform</Cell>
   </Row>
   <Row>
    <Cell>Estimating the cost of steel pipe bending, a comparison between neural networks and regression analysis</Cell>
    <Cell>1999</Cell>
    <Cell>Shtub</Cell>
    <Cell>A.</Cell>
    <Cell>Versano, R.</Cell>
    <Cell>International Journal of Production Economics</Cell>
    <Cell>62</Cell>
    
    <Cell>201-207</Cell>
    <Cell>Cost estimation; Pipe bending; Neural networks; Regression analysis</Cell>
   </Row>
   <Row>
    <Cell>A neural network approach to forecasting model selection</Cell>
    <Cell>1995</Cell>
    <Cell>Sohl</Cell>
    <Cell>J.E.</Cell>
    <Cell>Venkatachalam, A.R.</Cell>
    <Cell>Information and Management</Cell>
    <Cell>29</Cell>
    
    <Cell>297-303</Cell>
    <Cell>Neural networks</Cell>
   </Row>
   <Row>
    <Cell>Variant-based cost estimation based on information management</Cell>
    <Cell>2000</Cell>
    <Cell>Ten Brinke</Cell>
    <Cell>E.</Cell>
    <Cell>Lutters, E., Streppel, T., Kals, H.J.J.</Cell>
    <Cell>International Journal of Production Research</Cell>
    <Cell>38</Cell>
    <Cell>17</Cell>
    <Cell>4467-4479</Cell>
    <Cell>Variant-based cost estimation</Cell>
   </Row>
   <Row>
    <Cell>From DFT to systems test, a model based cost optimisation tool</Cell>
    <Cell>2001</Cell>
    <Cell>Wahl</Cell>
    <Cell>M.G.</Cell>
    <Cell>Ambler, T., Maab, C., Rahman, M.</Cell>
    <Cell> Design, Automation, and Test in Europe (13th-16th of March 200, Munich, Germany)</Cell>
    
    
    <Cell>1-5</Cell>
    <Cell>Design For Testability, cost estimation</Cell>
   </Row>
   <Row>
    <Cell>A cost estimating model for aerospace Procurement Pro-COST EST</Cell>
    <Cell>2004</Cell>
    <Cell>Watson</Cell>
    <Cell>P.</Cell>
    <Cell>Curran, R., Murphy, A., Cowan, S., Hawthorne, P., Watson, N.</Cell>
    <Cell>AIAA 4th Aviation Technology, Integration and Operations (ATIO) Forum</Cell>
    
    
    
    <Cell>Data classification, cost engineering</Cell>
   </Row>
   <Row>
    <Cell>To DFT or not to DFT?</Cell>
    <Cell>1997</Cell>
    <Cell>Wei</Cell>
    <Cell>S.</Cell>
    <Cell>Nag, P.K., Blanton, R.D., Gattiker, a., Maly, W.</Cell>
    <Cell>International Test Conference (???)</Cell>
    
    
    <Cell>557-566</Cell>
    <Cell>Design for testability</Cell>
   </Row>
   <Row>
    <Cell>A framework for estimating manufacturing cost from geometric design data</Cell>
    <Cell>2000</Cell>
    <Cell>Wei</Cell>
    <Cell>Yui</Cell>
    <Cell>Egbelu Pius J.</Cell>
    <Cell>International Journal of Computer Integrated Manufacturing</Cell>
    <Cell>13</Cell>
    <Cell>1</Cell>
    <Cell>50-63</Cell>
    <Cell>Generic ABC with manufacturability</Cell>
   </Row>
   <Row>
    <Cell>A generic framework for cost estimation and cost control in product design</Cell>
    <Cell>2000</Cell>
    <Cell>Weustink</Cell>
    <Cell>I.F.</Cell>
    <Cell>Ten Brinke E., Streppel A.H., Kals H.J.J.</Cell>
    <Cell>Journal of Materials Processing Technology</Cell>
    <Cell>103</Cell>
    
    <Cell>141-148</Cell>
    
   </Row>
   <Row>
    <Cell>Analyzing costs of space debris mitigation methods&#160;</Cell>
    <Cell>2004</Cell>
    <Cell>Wiedemann</Cell>
    <Cell>C.</Cell>
    <Cell>Krag, H., Bendisch, J.,Sdunnus, H.</Cell>
    <Cell>Advances in Space Research</Cell>
    <Cell>34</Cell>
    
    <Cell>1241-1245</Cell>
    <Cell>Space debris</Cell>
   </Row>
   <Row>
    <Cell>Identification of fuzzy models of software cost estimation&#160;</Cell>
    <Cell>2004</Cell>
    <Cell>Xu</Cell>
    <Cell>Z.</Cell>
    <Cell>Khoshgoftaar, T.M.</Cell>
    <Cell>Fuzzy Sets and Systems</Cell>
    <Cell>145</Cell>
    
    <Cell>141-163</Cell>
    <Cell>Fuzzy identification; Rule generation; Software cost estimation; Fuzzy clustering; COCOMO models</Cell>
   </Row>
   <Row>
    <Cell>The optimum operational condition of membrane bioreactor (MBR): cost estimation of aeration and sludge treatment</Cell>
    <Cell>2004</Cell>
    <Cell>Yoon</Cell>
    <Cell>S.H.</Cell>
    <Cell>Kim, H.S., Yeom, I.T.</Cell>
    <Cell>Water Research</Cell>
    <Cell>38</Cell>
    
    <Cell>37-46</Cell>
    <Cell>Membrane bioreactor; Sludge reduction; Optimum operational condition; Parametric cost estimation</Cell>
   </Row>
   <Row>
    <Cell>The substance abuse services cost analysis program (SASCAP): a new method for estimating drug treatment services costs&#160;</Cell>
    <Cell>2004</Cell>
    <Cell>Zarkin</Cell>
    <Cell>G.A.</Cell>
    <Cell>Dunlap, L.J., Homsi, G.</Cell>
    <Cell>Evaluation and Program Planning</Cell>
    <Cell>27</Cell>
    
    <Cell>35-43</Cell>
    <Cell>Cost estimation; Drug abuse; Treatment; Services; Methadone</Cell>
   </Row>
   <Row>
    <Cell>A neural network approach for early cost estimation of packaging products</Cell>
    <Cell>1997</Cell>
    <Cell>Zhang</Cell>
    <Cell>Y.F.</Cell>
    <Cell>Fuh, J.Y.H.</Cell>
    <Cell>Computers &amp; Industrial Engineering</Cell>
    <Cell>34</Cell>
    <Cell>2</Cell>
    <Cell>433-450</Cell>
    <Cell>Design stage, feature-based, back-propagation, neural network, design information</Cell>
   </Row>
  </Table>
