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Journal ArticleDOI

Microcomputer-based multiobjective personnel management model

Steven C. Egly, +1 more
- 01 Apr 1987 - 
- Vol. 1, Iss: 2, pp 114-127
TLDR
In this paper, a multiobjective personnel management model was developed to aid engineering managers in making seasonal job reassignments where the problem is to assign up to 150 workers to up to 50 jobs sites.
Abstract
A multiobjective personnel management model was developed to aid engineering managers in making seasonal job reassignments where the problem is to assign up to 150 workers to up to 50 jobsites. The model may be used to find efficient and equitable decision strategies within the constraints of known jobsite demand and limited resources. Rapid prototyping techniques were used to develop and test the model on a minicomputer system. The success of this prototype led to the subsequent implementation of the model using microcomputer technology. Program size was the major problem encountered in transferring the model from one computer system to the other. As a transportation model with one additional constraint, the nature of the formulation was exploited to overcome microcomputer storage limitations. Details of this redesign process and other strategies used to reduce the prototype size are presented together with a discussion of model performance.

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Citations
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Journal ArticleDOI

Multiobjective transportation network design and routing problems: Taxonomy and annotation

TL;DR: This paper updates an earlier review of multiobjective network design and routing problems and addresses the variety of problems addressed, which reflects the importance and complexity of transportation network analysis.

An Annotated Bibliography of Multiobjective Combinatorial Optimization

TL;DR: This paper provides an annotated bibliography of multiple objective combinatorial optimization, MOCO, and an annotation of the existing literature in the field organized problem by problem.
Book ChapterDOI

Multiobjective Combinatorial Optimization — Theory, Methodology, and Applications

TL;DR: This chapter provides an annotated bibliography of multiple objective combinatorial optimization, M OCO, and presents a general formulation of MOCO problems, describe their main characteristics, and review the main properties and theoretical results.
Journal ArticleDOI

A survey of models and algorithms for winter road maintenance. Part III: Vehicle routing and depot location for spreading

TL;DR: In this paper, the authors present a survey of vehicle routing problems for spreading chemicals and abrasives, plowing roadways and sidewalks, loading snow into trucks, and transporting snow to disposal sites.
References
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Journal ArticleDOI

The Design of the XMP Linear Programming Library

TL;DR: XMP is a hierarchically structured library of FORTRAN subroutines for linear programming that helps facilitate algorithmic research and model development in operations research and related disciplines.
Journal ArticleDOI

Linear Programming on Microcomputers

TL;DR: The paper considers the problems involved in implementing linear programming software on microcomputers and the user requirements for packages on such machines.
Journal ArticleDOI

A review of design techniques for programs and data

TL;DR: The development process and the program product are distinguished and a catalogue of possible program organizations and data structures with examples drawn from the published literature is presented.
Proceedings ArticleDOI

A technique for prototyping directly from a specification

TL;DR: A technique is described for prototyping a system directly from a specification by translating the specification into a Prolog form and using a set of functions to provide an operational interpretation of the semantics of the specification language.
ReportDOI

Microcomputer Implementation of SANTA: A Personnel Management Model

TL;DR: The SANTA model as mentioned in this paper is a multiobjective integer program that can generate the complete and precise tradeoff curve between the objectives of minimizing total distance that the reassigned workforce must travel from their respective homes to one of many site locations, and minimizing the maximum distance that any one worker must travel.
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