Modeling diminishing returns in project resource planning
Saved in:
| Title: | Modeling diminishing returns in project resource planning |
|---|---|
| Authors: | Deckro, Richard F.1 richard.deckro@afit.edu, Hebert, John E.2 |
| Source: | Computers & Industrial Engineering. Jan2003, Vol. 44 Issue 1, p19. 15p. |
| Subjects: | Resource allocation, Mathematical programming, Project management |
| Abstract: | This paper presents a series of approaches that offer a variety of options for modeling project scheduling in situations involving diminishing returns from increasing allocations of resources. The models allow the analyst to balance activity durations and costs to attain an optimal allocation of resources and activity times. A base example is utilized throughout the development to illustrate the approaches. A linear approximation model is developed, followed by a non-linear model, and finally a discrete multi-modal model. A key feature of all of these models is that the relationship between the duration of an activity and the resources allocated to it are incorporated directly into the constraints of the models. The paper concludes with several suggestions of areas for future research, including potential approaches for the solution of large, operational problems. [Copyright &y& Elsevier] |
| Copyright of Computers & Industrial Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 7916705 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Modeling diminishing returns in project resource planning – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Deckro%2C+Richard+F%2E%22">Deckro, Richard F.</searchLink><relatesTo>1</relatesTo><i> richard.deckro@afit.edu</i><br /><searchLink fieldCode="AR" term="%22Hebert%2C+John+E%2E%22">Hebert, John E.</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computers+%26+Industrial+Engineering%22">Computers & Industrial Engineering</searchLink>. Jan2003, Vol. 44 Issue 1, p19. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Resource+allocation%22">Resource allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+programming%22">Mathematical programming</searchLink><br /><searchLink fieldCode="DE" term="%22Project+management%22">Project management</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents a series of approaches that offer a variety of options for modeling project scheduling in situations involving diminishing returns from increasing allocations of resources. The models allow the analyst to balance activity durations and costs to attain an optimal allocation of resources and activity times. A base example is utilized throughout the development to illustrate the approaches. A linear approximation model is developed, followed by a non-linear model, and finally a discrete multi-modal model. A key feature of all of these models is that the relationship between the duration of an activity and the resources allocated to it are incorporated directly into the constraints of the models. The paper concludes with several suggestions of areas for future research, including potential approaches for the solution of large, operational problems. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computers & Industrial Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=7916705 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/S0360-8352(02)00182-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 19 Subjects: – SubjectFull: Resource allocation Type: general – SubjectFull: Mathematical programming Type: general – SubjectFull: Project management Type: general Titles: – TitleFull: Modeling diminishing returns in project resource planning Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Deckro, Richard F. – PersonEntity: Name: NameFull: Hebert, John E. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2003 Type: published Y: 2003 Identifiers: – Type: issn-print Value: 03608352 Numbering: – Type: volume Value: 44 – Type: issue Value: 1 Titles: – TitleFull: Computers & Industrial Engineering Type: main |
| ResultId | 1 |
