Utilize este identificador para referenciar este registo:
https://hdl.handle.net/10316/5493
Título: | An interactive decision support system for an aggregate production planning model based on multiple criteria mixed integer linear programming | Autor: | Silva, Carlos Gomes da Figueira, José Lisboa, João Barman, Samir |
Palavras-chave: | Production management; Aggregate planning; Multiple criteria model; Interactive approach; Decision support systems | Data: | 2006 | Citação: | Omega. 34:2 (2006) 167-177 | Resumo: | In this paper, we present an aggregate production planning (APP) model applied to a Portuguese firm that produces construction materials. A multiple criteria mixed integer linear programming (MCMILP) model is developed with the following performance criteria: (1) maximize profit, (2) minimize late orders, and (3) minimize work force level changes. It includes certain operational features such as partial inflexibility of the work force, legal restrictions on workload, work force size (workers to be hired and downsized), workers in training, and production and inventory capacity. The purpose is to determine the number of workers for each worker type, the number of overtime hours, the inventory level for each product category, and the level of subcontracting in order to meet the forecasted demand for a planning period of 12 months. Additionally, a decision support system (DSS) based on the MCMILP model is proposed. It will help practitioners find the "best" solution for an APP problem without having to familiarize themselves with the mathematical complexities associated with the model. An example to illustrate the use of the DSS is also included. | URI: | https://hdl.handle.net/10316/5493 | DOI: | 10.1016/j.omega.2004.08.007 | Direitos: | openAccess |
Aparece nas coleções: | FEUC- Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
filec3796c505ae443e38212b3ca0c6c2ad7.pdf | 677 kB | Adobe PDF | Ver/Abrir |
Citações SCOPUSTM
80
Visto em 25/mar/2024
Citações WEB OF SCIENCETM
60
Visto em 2/mar/2024
Visualizações de página 50
356
Visto em 26/mar/2024
Downloads 20
1.137
Visto em 26/mar/2024
Google ScholarTM
Verificar
Altmetric
Altmetric
Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.