A Linear Programming Model For Cash Flow Management In The Brazilian Construction Industry

dc.creatorBarbosa P.S.F.
dc.creatorPimentel P.R.
dc.date2001
dc.date2015-06-26T14:42:54Z
dc.date2015-11-26T14:16:02Z
dc.date2015-06-26T14:42:54Z
dc.date2015-11-26T14:16:02Z
dc.date.accessioned2018-03-28T21:16:59Z
dc.date.available2018-03-28T21:16:59Z
dc.identifier
dc.identifierConstruction Management And Economics. , v. 19, n. 5, p. 469 - 479, 2001.
dc.identifier1446193
dc.identifier10.1080/01446190110044834
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-0035452591&partnerID=40&md5=d8d7066427d98c1f8e28a37c93ed2a2c
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/94944
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/94944
dc.identifier2-s2.0-0035452591
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1242955
dc.descriptionA linear programming model has been developed for optimal cash flow management addressing specific cash flow issues related to the construction in industry. These include financial transactions, possible delays on payments, use of available credit lines, effect of changing interest rates, and budget constraints that often occur in the construction industry. A small size project from the Brazilian construction industry is provided as a case study, aiming at evaluating the potential benefits from using the model. Different changes to the basic structure of the model allow and establish the consistency of the results. Alternative formulations are suggested to deal with uncertainties, longer planning horizons, and multiple subcontractors and suppliers. In addition to the tangible financial earnings derived from the optimization process, the simple structure of the model, as a network flow and corresponding equations, provides much visual insight concerning the relationships between the external inputs and the variables of the problem. Optimal results have yet to be achieved in a real life situation, but a better view of whole cash flow management is provided when using the model.
dc.description19
dc.description5
dc.description469
dc.description479
dc.descriptionAdeli, H., Karim, A., Scheduling/cost optimization and neural dynamics model for construction (1997) Journal of Construction Engineering and Management, 123 (4), pp. 450-457
dc.descriptionAhuja H.N. Construction Industry Conference Industry Committee, Sao Paulo, (1976) Construction Performance Control By Networks, , Wiley, New York
dc.descriptionAshley, D.B., Teicholz, P.M., Pre-estimate cash flow analysis (1977) Journal of Construction Engineering and Management, 102 (3), pp. 369-379
dc.descriptionBennett, H., Ormerdo, R.N., Simulation applied to construction projects (1984) Construction Management and Economics, 2, pp. 225-263
dc.descriptionBirge, J.R., Louveaux, F., (1997) Introduction to Stochastic Programming, , Springer Series in Operations Research
dc.descriptionCollier, C.A., Halperin, D.A., (1984) Construction Funding: Where the Money Comes from, , Wiley New York
dc.descriptionCusack, M.M., The use of integer programming for modeling project control information (1985) Construction Management and Economics, 3, pp. 91-104
dc.descriptionDembo, R., Six rules for mark-to-future (1999) Algo Research Quarterly, 2 (2), pp. 11-13
dc.description(1999) Housing, Infrastructure and Employment, 3rd Brazilian, , FIESP, Industry Federation of the State of Sao Paulo, Construction
dc.descriptionFourer, R., Gay, D.M., Kerningham, B.W., (1993) AMPL: A Modeling Language for Mathematical Programming, , Boyd and Fraser, Danvers, MT
dc.descriptionGill, P.G., (1968) Systems Management Techniques for Builders and Contractors, , McGraw-Hill, New York
dc.descriptionGolden, B., Liberatore, M., Lieberman, C., Models and solution techniques for cash flow management (1979) Computers and Operations Research, 6, pp. 13-20
dc.descriptionHarford, J.V., (2000) Corporate Cash Management, Excess Cash and Acquisitions, , Garland Publishing, New York
dc.descriptionKaka, A.P., Towards more flexible and accurate cash flow forecasting (1996) Construction Management and Economics, 14, pp. 35-44
dc.descriptionKaka, A.P., Price, A.D.F., Net cash flow models: Are they reliable? (1991) Construction Management and Economics, 9, pp. 292-308
dc.descriptionKarshenas, S., Haber, D., Economic optimization of construction poject scheduling (1990) Construction Management and Economics, 8, pp. 135-146
dc.descriptionLangford, D., Iyagba, R., Komba, D.M., Prediction of solvency in construction companies (1993) Construction Management and Economics, 11, pp. 317-325
dc.descriptionLi, H., Love, P., Using improved genetic algorithms to facilitate time-cost optimization (1997) Journal of Construction Engineering and Management, 123 (3), pp. 223-237
dc.descriptionMalburg, C.R., (1992) The Cash Management Handbook, , Prentice Hall, Englewood Cliffs, NJ
dc.descriptionNahapiet, H., Nahapiet, J., A comparison of contractual arrangements for building projects (1985) Construction Management and Economics, 3, pp. 217-231
dc.descriptionNavon, R., Resource-based model for automatic cash flow forecasting (1995) Construction Management and Economics, 13, pp. 501-510
dc.descriptionNavon, R., Company-level cash-flow management (1996) Journal of Construction Engineering and Management ASCE, 122 (1), pp. 22-29
dc.descriptionSears, G.A., CPM/COST: An integrated approach (1981) Journal of Construction Engineering and Management ASCE, 107 (2), pp. 227-238
dc.descriptionTucker, S.N., A single alternative formula for Department of Health and Social Security S-curves (1988) Construction Management and Economics, 6, pp. 13-23
dc.descriptionWerna, E., The concomitant evolution and stagnation of the Brazilian building industry (1993) Construction Management and Economics, 11, pp. 194-202
dc.languageen
dc.publisher
dc.relationConstruction Management and Economics
dc.rightsfechado
dc.sourceScopus
dc.titleA Linear Programming Model For Cash Flow Management In The Brazilian Construction Industry
dc.typeArtículos de revistas


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