A study on the impacts of suppliers continuous risk and quantity discount on the manufacturers inventory decisions

This report provides an analysis of how quantity discounter affects the inventory decisions of a manufacturer facing supplier risks. The methods of analysis include using Palisade Risk Optimizer, which uses a Monte Carlo simulation, to test models facing uncertainty by generating multiple simulation...

Full description

Saved in:
Bibliographic Details
Main Authors: De Pedro, Earvin Andrew B., Labor, Alejandro D., Seno, Bryan Mitchelle T.
Format: text
Language:English
Published: Animo Repository 2013
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/10705
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-11350
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-113502022-01-24T07:18:53Z A study on the impacts of suppliers continuous risk and quantity discount on the manufacturers inventory decisions De Pedro, Earvin Andrew B. Labor, Alejandro D. Seno, Bryan Mitchelle T. This report provides an analysis of how quantity discounter affects the inventory decisions of a manufacturer facing supplier risks. The methods of analysis include using Palisade Risk Optimizer, which uses a Monte Carlo simulation, to test models facing uncertainty by generating multiple simulations and trials. The analysis derived from the simulation is used to evaluate how the inventory costs are affected by the quantity discount and suppliers risk by changing the parameters of the model. Results show that the formulated model in RiskOptimizer is logical, and the relationship of quantity discount from the suppliers risk is that the model prioritizes the allocation on supplier with relatively low reliability and buffer the quantity ordered from the suppliers. The logic of the model is that the manufacturer has an idea about the reliability of supplier then the decision is then prioritized to the one with the lowest reliability. Also, manufacturer allocates its order from the most unreliable supplier/s, so it can maximize the discount given. In terms of multiple suppliers, risk management literatures suggest the concept of allocating the orders to multiple supplier to diversify risk but from the result of the study, it was discovered that its not always the case. There were cases found where allocating to more suppliers can incur higher total costs. Lastly, the model also showed that safety stock and Reorder Point (RoP) were only significantly affected in the testing the number of suppliers available. It can now be concluded that in allocating order quantities the decision maker should first evaluate what is more important, the risk where its possible to attain stock-out or to maximize the discount offer. If the decision maker wants to maximize the discount offer then despite uncertainty he/she should allocate to the one with the lowest reliability. If the decision maker doesnt want to incur any possible stock-out then its only logical to allocate orders to the most reliable supplier because assurance is of more importance than what the decision maker could save. In terms of the internal reaction the rework acts as a factor that influences the order allocation and the total order quantity and though it has a cost component, results show that despite the rework cost it generates, it is lower than what the cost could be without it. 2013-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/10705 Bachelor's Theses English Animo Repository Inventory control Risk management. 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
language English
topic Inventory control
Risk management.
Industrial Engineering
spellingShingle Inventory control
Risk management.
Industrial Engineering
De Pedro, Earvin Andrew B.
Labor, Alejandro D.
Seno, Bryan Mitchelle T.
A study on the impacts of suppliers continuous risk and quantity discount on the manufacturers inventory decisions
description This report provides an analysis of how quantity discounter affects the inventory decisions of a manufacturer facing supplier risks. The methods of analysis include using Palisade Risk Optimizer, which uses a Monte Carlo simulation, to test models facing uncertainty by generating multiple simulations and trials. The analysis derived from the simulation is used to evaluate how the inventory costs are affected by the quantity discount and suppliers risk by changing the parameters of the model. Results show that the formulated model in RiskOptimizer is logical, and the relationship of quantity discount from the suppliers risk is that the model prioritizes the allocation on supplier with relatively low reliability and buffer the quantity ordered from the suppliers. The logic of the model is that the manufacturer has an idea about the reliability of supplier then the decision is then prioritized to the one with the lowest reliability. Also, manufacturer allocates its order from the most unreliable supplier/s, so it can maximize the discount given. In terms of multiple suppliers, risk management literatures suggest the concept of allocating the orders to multiple supplier to diversify risk but from the result of the study, it was discovered that its not always the case. There were cases found where allocating to more suppliers can incur higher total costs. Lastly, the model also showed that safety stock and Reorder Point (RoP) were only significantly affected in the testing the number of suppliers available. It can now be concluded that in allocating order quantities the decision maker should first evaluate what is more important, the risk where its possible to attain stock-out or to maximize the discount offer. If the decision maker wants to maximize the discount offer then despite uncertainty he/she should allocate to the one with the lowest reliability. If the decision maker doesnt want to incur any possible stock-out then its only logical to allocate orders to the most reliable supplier because assurance is of more importance than what the decision maker could save. In terms of the internal reaction the rework acts as a factor that influences the order allocation and the total order quantity and though it has a cost component, results show that despite the rework cost it generates, it is lower than what the cost could be without it.
format text
author De Pedro, Earvin Andrew B.
Labor, Alejandro D.
Seno, Bryan Mitchelle T.
author_facet De Pedro, Earvin Andrew B.
Labor, Alejandro D.
Seno, Bryan Mitchelle T.
author_sort De Pedro, Earvin Andrew B.
title A study on the impacts of suppliers continuous risk and quantity discount on the manufacturers inventory decisions
title_short A study on the impacts of suppliers continuous risk and quantity discount on the manufacturers inventory decisions
title_full A study on the impacts of suppliers continuous risk and quantity discount on the manufacturers inventory decisions
title_fullStr A study on the impacts of suppliers continuous risk and quantity discount on the manufacturers inventory decisions
title_full_unstemmed A study on the impacts of suppliers continuous risk and quantity discount on the manufacturers inventory decisions
title_sort study on the impacts of suppliers continuous risk and quantity discount on the manufacturers inventory decisions
publisher Animo Repository
publishDate 2013
url https://animorepository.dlsu.edu.ph/etd_bachelors/10705
_version_ 1772834694980698112