Structural comparison of data envelopment analysis and multiple objective linear programming
Article Abstract:
The similarities and dissimilarities between Data Envelopment Analysis (DEA) and Multiple Objective Linear Programming (MOLP) formulations for evaluating the relative efficiency of Decision Making Units (DMUs) were investigated from a mathematical perspective. Numerical results showed that while the DEA model and the Reference Point model of MOLP have developed independently of each other and have been based on quite different postulates and philosophical assumptions, they are structurally identical and complementary. The DEA model to identify efficient units is somewhat identical to the MOLP formulation based on the reference point or the reference direction approach to produce efficient solutions. Thus, MOLP can provide new areas of application to DEA and vice versa.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1998
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Multiple criteria decision making, multiattribute utility theory: the next ten years
Article Abstract:
The functionality and historical development of the fields of multiple criteria decision making (MCDM) and multiattribute utility theory (MAUT) in management science for the succeeding decade are examined. The links of MCDM and MAUT to the areas of behavioral realities, decision heuristics, robustness and decision support systems show a promising future for the two fields and are expected to open new avenues for further research. The events leading to the emergence of MCDM and MAUT are described, along with the different international views of the two fields. Greater insight into MCDM and MAUT problem-solving is expected to come with the the application of electronic spreadsheets to decision support systems.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1992
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Aspiration-based search algorithm (ABSALG) for multiple objective linear programming problems: theory and comparative tests
Article Abstract:
The authors present a multiple objective linear programming interactive method based on decision makers' aspiration levels and compare it to two other interactive methods. Collected statistics revealed insights as to the nature of algorithms.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1997
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