An Optimized System to Reduce Procurement Risks and Stock-Outs: A Simulation Case Study for a Component Manufacturer

In the current global system; supply chains are at risk due to increasing procurement shortages, supply disruptions, and the reliability of on-time deliveries with the original order quantities. As a result, an anticipated management model is of vital importance to provide companies with the product...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Diego Gallego-García, Sergio Gallego-García, Manuel García-García
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	economic order quantity inventory management MRP systems procurement order quantity procurement risks supply crisis management Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/352c8d15229746b3b9d571362101f32e
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:352c8d15229746b3b9d571362101f32e
record_format	dspace
spelling	oai:doaj.org-article:352c8d15229746b3b9d571362101f32e2021-11-11T15:23:51ZAn Optimized System to Reduce Procurement Risks and Stock-Outs: A Simulation Case Study for a Component Manufacturer10.3390/app1121103742076-3417https://doaj.org/article/352c8d15229746b3b9d571362101f32e2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10374https://doaj.org/toc/2076-3417In the current global system; supply chains are at risk due to increasing procurement shortages, supply disruptions, and the reliability of on-time deliveries with the original order quantities. As a result, an anticipated management model is of vital importance to provide companies with the productive flexibility necessary to adapt quickly to supply changes, in order to ensure the quality and delivery time through efficient management of stocks and supply costs. In this context, this research aims to develop a system to complement classical procurement planning based on inventory management methods and MRP (material requirements planning) systems by considering suppliers’ behavior regarding procurement risks. For this purpose, a system is developed that seeks to simulate the impacts of procurement shortages of different natures. Moreover, the research investigates the development of a system that performs procurement planning of a component manufacturer to determine the supply orders necessary to meet the master production schedule. The system is analyzed based on a set of indicators in the event that the supplier of a material needed for production does not supply on time or has short-term problems. Several scenarios are simulated, and the results are quantified by changing the procurement order quantities, which may or may not follow the economic order quantity (EOQ) model, and the potential procurement disruptions or shortages. The results show how the simulation and anticipation of potential suppliers’ procurement behavior concerning potential shortages and their probability are key for successful procurement within a joint strategy with classical procurement methods.Diego Gallego-GarcíaSergio Gallego-GarcíaManuel García-GarcíaMDPI AGarticleeconomic order quantityinventory managementMRP systemsprocurement order quantityprocurement riskssupply crisis managementTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10374, p 10374 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	economic order quantity inventory management MRP systems procurement order quantity procurement risks supply crisis management Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	economic order quantity inventory management MRP systems procurement order quantity procurement risks supply crisis management Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Diego Gallego-García Sergio Gallego-García Manuel García-García An Optimized System to Reduce Procurement Risks and Stock-Outs: A Simulation Case Study for a Component Manufacturer
description	In the current global system; supply chains are at risk due to increasing procurement shortages, supply disruptions, and the reliability of on-time deliveries with the original order quantities. As a result, an anticipated management model is of vital importance to provide companies with the productive flexibility necessary to adapt quickly to supply changes, in order to ensure the quality and delivery time through efficient management of stocks and supply costs. In this context, this research aims to develop a system to complement classical procurement planning based on inventory management methods and MRP (material requirements planning) systems by considering suppliers’ behavior regarding procurement risks. For this purpose, a system is developed that seeks to simulate the impacts of procurement shortages of different natures. Moreover, the research investigates the development of a system that performs procurement planning of a component manufacturer to determine the supply orders necessary to meet the master production schedule. The system is analyzed based on a set of indicators in the event that the supplier of a material needed for production does not supply on time or has short-term problems. Several scenarios are simulated, and the results are quantified by changing the procurement order quantities, which may or may not follow the economic order quantity (EOQ) model, and the potential procurement disruptions or shortages. The results show how the simulation and anticipation of potential suppliers’ procurement behavior concerning potential shortages and their probability are key for successful procurement within a joint strategy with classical procurement methods.
format	article
author	Diego Gallego-García Sergio Gallego-García Manuel García-García
author_facet	Diego Gallego-García Sergio Gallego-García Manuel García-García
author_sort	Diego Gallego-García
title	An Optimized System to Reduce Procurement Risks and Stock-Outs: A Simulation Case Study for a Component Manufacturer
title_short	An Optimized System to Reduce Procurement Risks and Stock-Outs: A Simulation Case Study for a Component Manufacturer
title_full	An Optimized System to Reduce Procurement Risks and Stock-Outs: A Simulation Case Study for a Component Manufacturer
title_fullStr	An Optimized System to Reduce Procurement Risks and Stock-Outs: A Simulation Case Study for a Component Manufacturer
title_full_unstemmed	An Optimized System to Reduce Procurement Risks and Stock-Outs: A Simulation Case Study for a Component Manufacturer
title_sort	optimized system to reduce procurement risks and stock-outs: a simulation case study for a component manufacturer
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/352c8d15229746b3b9d571362101f32e
work_keys_str_mv	AT diegogallegogarcia anoptimizedsystemtoreduceprocurementrisksandstockoutsasimulationcasestudyforacomponentmanufacturer AT sergiogallegogarcia anoptimizedsystemtoreduceprocurementrisksandstockoutsasimulationcasestudyforacomponentmanufacturer AT manuelgarciagarcia anoptimizedsystemtoreduceprocurementrisksandstockoutsasimulationcasestudyforacomponentmanufacturer AT diegogallegogarcia optimizedsystemtoreduceprocurementrisksandstockoutsasimulationcasestudyforacomponentmanufacturer AT sergiogallegogarcia optimizedsystemtoreduceprocurementrisksandstockoutsasimulationcasestudyforacomponentmanufacturer AT manuelgarciagarcia optimizedsystemtoreduceprocurementrisksandstockoutsasimulationcasestudyforacomponentmanufacturer
_version_	1718435359006654464

An Optimized System to Reduce Procurement Risks and Stock-Outs: A Simulation Case Study for a Component Manufacturer

Ejemplares similares