TY - GEN
T1 - Supply Model for Dependent Demand in the Peruvian Textile Industry
AU - Guevara-Yarasca, A. R.
AU - Falla-Marcelo, G. F.
AU - Quiroz-Flores, J. C.
AU - Alvarez-Merino, J. C.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - The main purpose of managing a supply chain is to ensure the life cycle of a product or service, from reception of raw materials to final distribution. A key factor in achieving the goals of the organization lies in the timing of its processes, since variations in demand can lead to late deliveries, cancellation of orders, and increased reliance on inventory. Therefore, this paper proposes a model that determines the optimal amount to be produced, taking into account the various stages of the supply chain, many of which have not been considered in original models. This model involves reducing inventory overruns and the opportunity cost of using the Excel spreadsheet.
AB - The main purpose of managing a supply chain is to ensure the life cycle of a product or service, from reception of raw materials to final distribution. A key factor in achieving the goals of the organization lies in the timing of its processes, since variations in demand can lead to late deliveries, cancellation of orders, and increased reliance on inventory. Therefore, this paper proposes a model that determines the optimal amount to be produced, taking into account the various stages of the supply chain, many of which have not been considered in original models. This model involves reducing inventory overruns and the opportunity cost of using the Excel spreadsheet.
KW - economic production quantity (EPQ)
KW - economical to order (EOQ) quantity
KW - Inventory Optimization Models
KW - Supply chain
KW - Textile
UR - http://www.scopus.com/inward/record.url?scp=85079602026&partnerID=8YFLogxK
U2 - 10.1109/IEEM44572.2019.8978862
DO - 10.1109/IEEM44572.2019.8978862
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85079602026
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 891
EP - 895
BT - 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
PB - IEEE Computer Society
Y2 - 15 December 2019 through 18 December 2019
ER -