An assessment of FIFO and LIFO policies for perishable inventory systems using the system dynamics approach

This study applied the System Dynamics methodology in evaluating the equilibrium state performance of First-In-First-Out (FIFO) and Last-In-First-Out (LIFO) for perishables. It recognizes that while a certain policy may have optimal results for a few successive periods, it may produce undesirable pa...

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Main Authors: Ching, Phoebe Lim, Wu, Judy Ann
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Published: Animo Repository 2019
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3341
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-43152021-04-28T02:32:44Z An assessment of FIFO and LIFO policies for perishable inventory systems using the system dynamics approach Ching, Phoebe Lim Wu, Judy Ann This study applied the System Dynamics methodology in evaluating the equilibrium state performance of First-In-First-Out (FIFO) and Last-In-First-Out (LIFO) for perishables. It recognizes that while a certain policy may have optimal results for a few successive periods, it may produce undesirable patterns in the long-term (e.g. accumulation of old stock). A non-perishables scenario was simulated for each policy to validate the logic of the model, and for comparison. This revealed that while FIFO and LIFO have little difference in the long-term for non-perishables, there is a major difference for perishables. Based on the results, this study concludes that LIFO is superior in equilibrium, in terms of consistency in quality of goods sold and stability of production rate. © 2019 IEEE. 2019-05-14T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/3341 info:doi/10.1109/IEA.2019.8714839 Faculty Research Work Animo Repository First in, first out (Accounting) Last in, first out (Accounting) Perishable goods—Inventories Industrial Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic First in, first out (Accounting)
Last in, first out (Accounting)
Perishable goods—Inventories
Industrial Engineering
spellingShingle First in, first out (Accounting)
Last in, first out (Accounting)
Perishable goods—Inventories
Industrial Engineering
Ching, Phoebe Lim
Wu, Judy Ann
An assessment of FIFO and LIFO policies for perishable inventory systems using the system dynamics approach
description This study applied the System Dynamics methodology in evaluating the equilibrium state performance of First-In-First-Out (FIFO) and Last-In-First-Out (LIFO) for perishables. It recognizes that while a certain policy may have optimal results for a few successive periods, it may produce undesirable patterns in the long-term (e.g. accumulation of old stock). A non-perishables scenario was simulated for each policy to validate the logic of the model, and for comparison. This revealed that while FIFO and LIFO have little difference in the long-term for non-perishables, there is a major difference for perishables. Based on the results, this study concludes that LIFO is superior in equilibrium, in terms of consistency in quality of goods sold and stability of production rate. © 2019 IEEE.
format text
author Ching, Phoebe Lim
Wu, Judy Ann
author_facet Ching, Phoebe Lim
Wu, Judy Ann
author_sort Ching, Phoebe Lim
title An assessment of FIFO and LIFO policies for perishable inventory systems using the system dynamics approach
title_short An assessment of FIFO and LIFO policies for perishable inventory systems using the system dynamics approach
title_full An assessment of FIFO and LIFO policies for perishable inventory systems using the system dynamics approach
title_fullStr An assessment of FIFO and LIFO policies for perishable inventory systems using the system dynamics approach
title_full_unstemmed An assessment of FIFO and LIFO policies for perishable inventory systems using the system dynamics approach
title_sort assessment of fifo and lifo policies for perishable inventory systems using the system dynamics approach
publisher Animo Repository
publishDate 2019
url https://animorepository.dlsu.edu.ph/faculty_research/3341
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