| contributor author | Yi Su | |
| contributor author | Gunnar Lucko | |
| date accessioned | 2017-05-08T22:11:42Z | |
| date available | 2017-05-08T22:11:42Z | |
| date copyright | March 2015 | |
| date issued | 2015 | |
| identifier other | 39264209.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/73215 | |
| description abstract | Accurately comparing balances of normal versus discounted cash flow scenarios is the key for project participants to decide whether to offer or accept a prompt payment discount. Such a decision requires determining what rates and periods are acceptable. These values are calculated through a synthetic cash flow model that uses singularity functions. Singularity functions act upon limited ranges, which is ideal for modeling financial phenomena. A signal function is derived that expresses different payment scenarios and considers the time value of money. Research contributions to the knowledge of body include the following: (1) the model can calculate the balance accurately and efficiently; (2) the new approach evaluates the feasible range for a discount from the views of both payee and payer, which is verified with an engineering economics analysis; and (3) a streamlined process for decision making using new types of nomographs is provided, so that project participants can find mutually beneficial payment arrangements. | |
| publisher | American Society of Civil Engineers | |
| title | Synthetic Cash Flow Model with Singularity Functions. II: Feasible Prompt Payment Discount Scenarios | |
| type | Journal Paper | |
| journal volume | 141 | |
| journal issue | 3 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/(ASCE)CO.1943-7862.0000906 | |
| tree | Journal of Construction Engineering and Management:;2015:;Volume ( 141 ):;issue: 003 | |
| contenttype | Fulltext | |