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LOT‐SIZING RULE AND FREEZING THE MASTER PRODUCTION SCHEDULE UNDER CAPACITY CONSTRAINT AND DETERMINISTIC DEMAND
Author(s) -
ZHAO XIANDE,
XIE JINXING,
JIANG QIYUAN
Publication year - 2001
Publication title -
production and operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.279
H-Index - 110
eISSN - 1937-5956
pISSN - 1059-1478
DOI - 10.1111/j.1937-5956.2001.tb00067.x
Subject(s) - sizing , schedule , constraint (computer aided design) , selection (genetic algorithm) , computer science , operations research , production (economics) , resource (disambiguation) , service level , mathematical optimization , operations management , reliability engineering , business , microeconomics , economics , mathematics , engineering , marketing , computer network , geometry , artificial intelligence , operating system , art , visual arts
This paper investigates the performance impact of lot‐sizing rule (LSR) selection and freezing of the master production schedule (MPS) in multi‐item single‐level systems with a single resource constraint under deterministic demand. The results of the study show that the selection of LSRS and the parameters for freezing the MPS have a significant impact on total cost, schedule instability, and the service level of the system. However, the selection of LSRS does not significantly influence the selection of the MPS freezing parameters. The basic conclusions concerning the performance of the freezing parameters under a capacity constraint agreed with previous research findings without consideration of capacity constraints.