Improving forecasting accuracy to reduce variability of customer service level

Mo´nica Balderas, Andrea Araiza, Mariana Peña, Bernardo Villarreal

Resultados de investigaciones

Resumen

This work describes the efforts of the leading Mexican convenience store company to look for opportunities to reduce a high level of customer service variability at the store echelon. The company was having high customer service variability originating that 42% of the time, on average, stores were out of stock. After an analysis of the structure of the distribution network and the actual forecasting and inventory management schemes, the authors found that the main cause behind the deficient performance was poor demand forecasting accuracy and incomplete inventory management scheme structures. Therefore, the improvement initiatives designed were developed to select correct or adequate forecasting procedures for the different demand patterns and the modification of the structure of the inventory schemes. Initial results are obtained from a pilot study carried out in all SKU´s of all the stores of the Puerto Vallarta plaza of the company. The resulting forecasting mean squared error (MSE) was decreased significantly in the order of 43%. The firm estimates a reduction of about 21% of the level of inventories and of 22 percentual points of customer service variability at the retailing stores due to the improvement in forecasting accuracy.

Idioma originalEnglish
Título de la publicación alojadaProceedings of the International Conference on Industrial Engineering and Operations Management
EditorialIEOM Society
Páginas1-10
Número de páginas10
EdiciónJuly
Estado de la publicaciónPublished - 1 ene 2019
Evento3rd Eu International Conference on Industrial Engineering and Operations Management,IEOM 2019 - Pilsen
Duración: 23 jul 201926 jul 2019

Serie de publicaciones

NombreProceedings of the International Conference on Industrial Engineering and Operations Management

Conference

Conference3rd Eu International Conference on Industrial Engineering and Operations Management,IEOM 2019
PaísCzech Republic
CiudadPilsen
Periodo23/7/1926/7/19

    Huella digital

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Citar esto

Balderas, M., Araiza, A., Peña, M., & Villarreal, B. (2019). Improving forecasting accuracy to reduce variability of customer service level. En Proceedings of the International Conference on Industrial Engineering and Operations Management (July ed., pp. 1-10). (Proceedings of the International Conference on Industrial Engineering and Operations Management). IEOM Society.