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DECISION RULES IN PRODUCTION PLANNING UNDER CHANGE‐CONSTRAINED SALES*
Author(s) -
Gupta S. K.,
Sengupta J. K.
Publication year - 1977
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1977.tb01099.x
Subject(s) - aggregate planning , computer science , production (economics) , decision rule , aggregate (composite) , production planning , scheduling (production processes) , operations research , decision model , basis (linear algebra) , mathematical optimization , machine learning , artificial intelligence , microeconomics , mathematics , economics , materials science , geometry , composite material
Alternative decision rules for aggregate production scheduling are specified here under chance‐constrained sales and compared with the HMMS model. These rules are evaluated for their performance on the basis of simulated data on sales and it is found that the linear decision rules of the HMMS model can be considerably improved.