| Revista: | Journal of applied research and technology |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000384321 |
| ISSN: | 1665-6423 |
| Autores: | Wang, W.J1 Xu, Q1 |
| Instituciones: | 1Donghua University, Glorious Sun School of Business and Management, Shanghai. China |
| Año: | 2014 |
| Periodo: | Abr |
| Volumen: | 12 |
| Número: | 2 |
| Paginación: | 315-324 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Conferencia o discurso |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | Retailing plays an important part in modern economic development, and supply chain coordination is the research focus in retail operations management. This paper reviews the collaborative forecasting process within the framework of the collaborative planning, forecasting and replenishment of retail supply chain. A Bayesian combination forecasting model is proposed to integrate multiple forecasting resources and coordinate forecasting processes among partners in the retail supply chain. Based on simulation results for retail sales, the effectiveness of this combination forecasting model is demonstrated for coordinating the collaborative forecasting processes, resulting in an improvement of demand forecasting accuracy in the retail supply chain |
| Disciplinas: | Ingeniería, Administración y contaduría |
| Palabras clave: | Ingeniería industrial, Organización, Modelos de predicción, Cadena de suministro, Menudeo, Precisión |
| Keyword: | Engineering, Management and accounting, Industrial engineering, Business organization, Forecasting models, Supply chain, Retail, Accuracy |
| Texto completo: | Texto completo (Ver HTML) |
