{"title":"Discussion of \"Comparison of Friedman and Gates Competitive Bidding Models\"","authors":"M. Barnes","doi":"10.1061/JCCEAZ.0000885","DOIUrl":"https://doi.org/10.1061/JCCEAZ.0000885","url":null,"abstract":"","PeriodicalId":271903,"journal":{"name":"Journal of the Construction Division","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115685066","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}
{"title":"Discussion of “Polymer-Impregnated Concrete at Dworshak Dam”","authors":"B. Subrahmanyam, M. Neelamegam, N. Rajamane","doi":"10.1061/JCCEAZ.0000882","DOIUrl":"https://doi.org/10.1061/JCCEAZ.0000882","url":null,"abstract":"","PeriodicalId":271903,"journal":{"name":"Journal of the Construction Division","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1980-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133826157","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}
{"title":"Discussion of “Comparison of Friedman and Gates Competitive Bidding Models”","authors":"M. Gates","doi":"10.1061/JCCEAZ.0000858","DOIUrl":"https://doi.org/10.1061/JCCEAZ.0000858","url":null,"abstract":"","PeriodicalId":271903,"journal":{"name":"Journal of the Construction Division","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1979-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125338306","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}
This paper summarizes the results of an extensive survey of contractors concerning equipment policies. This study shows how contractors, particularly utility contractors, establish and implement varying equipment policies. Topics such as equipment financing, disposal, depreciation, obsolescence and acquisition are addressed. The survey results indicate important discrepancies between current contractor practices in management of equipment and the policies often recommended in research and professional literature. Also, comparative analysis of survey responses for small, medium, and large firms reveals significant differences in typical equipment decisions and use.
{"title":"Current Equipment Policies of Utility Contractors","authors":"J. Hinze, W. B. Ashton","doi":"10.1061/JCCEAZ.0000835","DOIUrl":"https://doi.org/10.1061/JCCEAZ.0000835","url":null,"abstract":"This paper summarizes the results of an extensive survey of contractors concerning equipment policies. This study shows how contractors, particularly utility contractors, establish and implement varying equipment policies. Topics such as equipment financing, disposal, depreciation, obsolescence and acquisition are addressed. The survey results indicate important discrepancies between current contractor practices in management of equipment and the policies often recommended in research and professional literature. Also, comparative analysis of survey responses for small, medium, and large firms reveals significant differences in typical equipment decisions and use.","PeriodicalId":271903,"journal":{"name":"Journal of the Construction Division","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1979-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124291915","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}
MUD (model for uncertainty determination) will simulate the progress under uncertainty of the typical construction project on which the activity durations are not independent of each other. Monte Carlo simulation models the effects of uncertainties that are independent of calendar date. Daily progress under uncertain weather is simulated using historical weather data. Activity criticalities are computed for the simulated activity times. The samples from multiple simulations of a project are combined by MUD to calculate a range estimate (mean and standard duration) for activity and project durations, times, and criticality. A small example project illustrates some of the capabilities of MUD.
{"title":"Simulation of Construction Project Duration","authors":"R. I. Carr","doi":"10.1061/JCCEAZ.0000827","DOIUrl":"https://doi.org/10.1061/JCCEAZ.0000827","url":null,"abstract":"MUD (model for uncertainty determination) will simulate the progress under uncertainty of the typical construction project on which the activity durations are not independent of each other. Monte Carlo simulation models the effects of uncertainties that are independent of calendar date. Daily progress under uncertain weather is simulated using historical weather data. Activity criticalities are computed for the simulated activity times. The samples from multiple simulations of a project are combined by MUD to calculate a range estimate (mean and standard duration) for activity and project durations, times, and criticality. A small example project illustrates some of the capabilities of MUD.","PeriodicalId":271903,"journal":{"name":"Journal of the Construction Division","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1979-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126119912","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}
The Gates-Friedman controversy is reviewed. An example of the application of each probability assessment model is presented. Monte Carlo simulation procedures used to evaluate the effectiveness of both models when applied to a contractor's 3-yr bidding history are described. The following conclusions are made: (1)Friedman's model always gives a lower optimal bid and a smaller probability of winning at optimality than does Gates'; (2)on the average, Friedman's model results in slightly hgher long-range profits than does Gates' but it obtains almost twice as much work; and (3)on the average, the relative frequency of successful bids corresponds more closely to the probability of winning at optimality found by the Gates model than by the Friedman model.
{"title":"Comparison of Friedman and Gates Competitive Bidding Models","authors":"N. B. Benjamin, R. C. Meador","doi":"10.1061/JCCEAZ.0000821","DOIUrl":"https://doi.org/10.1061/JCCEAZ.0000821","url":null,"abstract":"The Gates-Friedman controversy is reviewed. An example of the application of each probability assessment model is presented. Monte Carlo simulation procedures used to evaluate the effectiveness of both models when applied to a contractor's 3-yr bidding history are described. The following conclusions are made: (1)Friedman's model always gives a lower optimal bid and a smaller probability of winning at optimality than does Gates'; (2)on the average, Friedman's model results in slightly hgher long-range profits than does Gates' but it obtains almost twice as much work; and (3)on the average, the relative frequency of successful bids corresponds more closely to the probability of winning at optimality found by the Gates model than by the Friedman model.","PeriodicalId":271903,"journal":{"name":"Journal of the Construction Division","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1979-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125844189","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}
{"title":"Closure of \"Pre-Estimate Cash Flow Analysis\"","authors":"D. Ashley, P. Teicholz","doi":"10.1061/JCCEAZ.0000810","DOIUrl":"https://doi.org/10.1061/JCCEAZ.0000810","url":null,"abstract":"","PeriodicalId":271903,"journal":{"name":"Journal of the Construction Division","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1978-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130609715","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}
{"title":"Discussion of “Improving Productivity in Industrial Construction”","authors":"H. Thomas","doi":"10.1061/JCCEAZ.0000721","DOIUrl":"https://doi.org/10.1061/JCCEAZ.0000721","url":null,"abstract":"","PeriodicalId":271903,"journal":{"name":"Journal of the Construction Division","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1977-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123186524","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}
A computer-based Tunnel Cost Model has been developed. The model includes three submodels: a geologic submodel, a construction submodel, and a tunnel simulator. The geologic model uses the available geologic information expressed in terms of subjective probabilities to generate the likelihood of occurrence of various geologic conditions at defined locations in the tunnel. The construction submodel simulates cycles of construction operations under the various possible geologic conditions to assess the impact of these operations on time and cost. The tunnel simulator brings together the information produced by the two other submodels to simulate cycles of construction operations in many possible geologic profiles. Results of these simulations are time/cost distributions reflecting the uncertainty inherent in the estimate. An example problem of a 12,000-ft tunnel in shale/limestone geology is presented. Results indicate a range of total direct cost of –7,500,000-–10,500,000, and a time of 210 days to 305 days. These ranges provide a quantitative indication of the uncertainty inherent in a final tunnel time and cost estimate.
{"title":"SIMULATION MODEL FOR TUNNEL CONSTRUCTION COSTS","authors":"F. Moavenzadeh, M. Markow","doi":"10.1061/JCCEAZ.0000600","DOIUrl":"https://doi.org/10.1061/JCCEAZ.0000600","url":null,"abstract":"A computer-based Tunnel Cost Model has been developed. The model includes three submodels: a geologic submodel, a construction submodel, and a tunnel simulator. The geologic model uses the available geologic information expressed in terms of subjective probabilities to generate the likelihood of occurrence of various geologic conditions at defined locations in the tunnel. The construction submodel simulates cycles of construction operations under the various possible geologic conditions to assess the impact of these operations on time and cost. The tunnel simulator brings together the information produced by the two other submodels to simulate cycles of construction operations in many possible geologic profiles. Results of these simulations are time/cost distributions reflecting the uncertainty inherent in the estimate. An example problem of a 12,000-ft tunnel in shale/limestone geology is presented. Results indicate a range of total direct cost of –7,500,000-–10,500,000, and a time of 210 days to 305 days. These ranges provide a quantitative indication of the uncertainty inherent in a final tunnel time and cost estimate.","PeriodicalId":271903,"journal":{"name":"Journal of the Construction Division","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1976-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124859748","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}
{"title":"Closure to “Recent Results of French Research on Reinforced Earth”","authors":"F. Schlosser, N. Long","doi":"10.1061/JCCEAZ.0000591","DOIUrl":"https://doi.org/10.1061/JCCEAZ.0000591","url":null,"abstract":"","PeriodicalId":271903,"journal":{"name":"Journal of the Construction Division","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1976-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128665891","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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