Solving Resource Allocation Problems When Earning Effects Are Present

Terry P. Harrison; Gary A. Kochenberger; Rose S. Prave; Tracy D. Rishel

doi:10.1111/j.1540-5915.1988.tb00299.x

Solving Resource Allocation Problems When Earning Effects Are Present

Terry P. Harrison, Gary A. Kochenberger, Rose S. Prave, Tracy D. Rishel

Supply Chain and Information Systems

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Learning effects play an important role in certain resource allocation problems, and several authors have proposed models for these problems that capture the relevant relationships. However, the models may be difficult to implement or have shortcomings in the prescribed solution procedures. In this paper, we selectively review the work to date and present a simple reformulation that facilitates solution by off‐the‐shelf software.

Original language	English (US)
Pages (from-to)	744-749
Number of pages	6
Journal	Decision Sciences
Volume	19
Issue number	4
DOIs	https://doi.org/10.1111/j.1540-5915.1988.tb00299.x
State	Published - Dec 1988

All Science Journal Classification (ASJC) codes

Business, Management and Accounting(all)
Strategy and Management
Information Systems and Management
Management of Technology and Innovation

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10.1111/j.1540-5915.1988.tb00299.x

Cite this

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title = "Solving Resource Allocation Problems When Earning Effects Are Present",

abstract = "Learning effects play an important role in certain resource allocation problems, and several authors have proposed models for these problems that capture the relevant relationships. However, the models may be difficult to implement or have shortcomings in the prescribed solution procedures. In this paper, we selectively review the work to date and present a simple reformulation that facilitates solution by off‐the‐shelf software.",

author = "Harrison, {Terry P.} and Kochenberger, {Gary A.} and Prave, {Rose S.} and Rishel, {Tracy D.}",

year = "1988",

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AU - Prave, Rose S.

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Y1 - 1988/12

N2 - Learning effects play an important role in certain resource allocation problems, and several authors have proposed models for these problems that capture the relevant relationships. However, the models may be difficult to implement or have shortcomings in the prescribed solution procedures. In this paper, we selectively review the work to date and present a simple reformulation that facilitates solution by off‐the‐shelf software.

AB - Learning effects play an important role in certain resource allocation problems, and several authors have proposed models for these problems that capture the relevant relationships. However, the models may be difficult to implement or have shortcomings in the prescribed solution procedures. In this paper, we selectively review the work to date and present a simple reformulation that facilitates solution by off‐the‐shelf software.

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JO - Decision Sciences

JF - Decision Sciences

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ER -

Solving Resource Allocation Problems When Earning Effects Are Present

Abstract

All Science Journal Classification (ASJC) codes

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