TY - GEN
T1 - Inventory Management Model for Reducing Stockout rate by Applying Lean Warehousing and DDMRP Tools in a SMEs in the Commercial Sector
AU - Gonzales-León, Luis Martin
AU - Salcedo-Portocarrero, Nezari Paloma
AU - Quiroz-Flores, Juan Carlos
N1 - Publisher Copyright:
© WCSE 2023.All rights reserved.
PY - 2023
Y1 - 2023
N2 - This case study addresses the problem of stock-outs and purchase planning, which represent the greatest impact on the economic loss for the company studied. For the analysis of the problem and the proposal approach, a focus was made on the main products sold, the Value Stream Mapping tool was used for the process analysis and the analysis of the main causes by means of Pareto diagrams and the Systematic Interrogation Technique. The implementation of the 5S methodology is proposed hand in hand with the Visual Management to have a better control of the stock and improve the workflow, in addition, the purchase planning is proposed from the application of the DDMRP tool with the objective of being able to meet the demand and have lower losses due to expiration of products. Finally, through the application and simulation of the proposed tools, an average reduction of 28.3% in warehouse ordering times and 25% in order preparation times is evidenced, likewise the DDMRP tool shows a reduction of stock breakage, managing to cover 100% of the demand.
AB - This case study addresses the problem of stock-outs and purchase planning, which represent the greatest impact on the economic loss for the company studied. For the analysis of the problem and the proposal approach, a focus was made on the main products sold, the Value Stream Mapping tool was used for the process analysis and the analysis of the main causes by means of Pareto diagrams and the Systematic Interrogation Technique. The implementation of the 5S methodology is proposed hand in hand with the Visual Management to have a better control of the stock and improve the workflow, in addition, the purchase planning is proposed from the application of the DDMRP tool with the objective of being able to meet the demand and have lower losses due to expiration of products. Finally, through the application and simulation of the proposed tools, an average reduction of 28.3% in warehouse ordering times and 25% in order preparation times is evidenced, likewise the DDMRP tool shows a reduction of stock breakage, managing to cover 100% of the demand.
UR - https://www.scopus.com/pages/publications/85176411967
U2 - 10.18178/wcse.2023.06.055
DO - 10.18178/wcse.2023.06.055
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85176411967
T3 - 13th International Workshop on Computer Science and Engineering, WCSE 2023
SP - 365
EP - 374
BT - 13th International Workshop on Computer Science and Engineering, WCSE 2023
PB - International Workshop on Computer Science and Engineering (WCSE)
T2 - 2023 13th International Workshop on Computer Science and Engineering, WCSE 2023
Y2 - 16 June 2023 through 18 June 2023
ER -