Computation of a multi-objective production planning model with probabilistic constraints

In this paper, a multi-objective production planning model has been presented for a captive plant. The model includes multi-products, multi-plants, and multi-objective with some probabilistic constraints. The probabilistic constraints have been transformed into deterministic constraints assuming the...

Full description

Saved in:
Bibliographic Details
Published in:International journal of computer mathematics Vol. 86; no. 1; pp. 185 - 198
Main Authors: Sahoo, N. P., Biswal, M. P.
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis 01.01.2009
Taylor & Francis Ltd
Subjects:
captive plants
Comparative analysis
F.2.2
Fuzzy logic
fuzzy programming method and integral solution
G.3
I.6.8
multi-objective model
non-linear programming
probabilistic programming
Probability
Production planning
Random variables
weighting method
ISSN:0020-7160, 1029-0265
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a multi-objective production planning model has been presented for a captive plant. The model includes multi-products, multi-plants, and multi-objective with some probabilistic constraints. The probabilistic constraints have been transformed into deterministic constraints assuming the parameters as independent normal random variables. The deterministic problem has been computed with two different methods, namely weighting method and fuzzy programming method. Finally, the integral solution obtained by these two methods have been compared.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
ISSN:0020-7160
1029-0265
DOI:10.1080/00207160701734207