2006
DOI: 10.1080/09537280600621909
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Production quantity allocation for order fulfilment in the supply chain: a neural network based approach

Abstract: In the current global business environment, it is very important to know how to allocate products from the producer to buyers (or distributors). If products are not appropriately distributed due to absence of an effective allocation policy, the producer and buyers cannot expect to increase customer satisfaction and financial profit. Sometimes some buyers can order more than the actual demand due to inappropriately forecasting customer orders. This is the big obstacle to the effective allocation of products. If… Show more

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Cited by 18 publications
(4 citation statements)
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“…For instance, Partovi and Anandarajan [42] utilized the ability of ANN for the ABC classification of stock-keeping units in a pharmaceutical company. Lee et al [43] studied new allocation policies considering buyers' demands in the SC management via an ANN. Furthermore, solving OCP has many approaches such as the homotopy perturbation method, variational iteration, neural network, and numerical approaches [44][45][46][47][48][49].…”
Section: Introductionmentioning
confidence: 99%
“…For instance, Partovi and Anandarajan [42] utilized the ability of ANN for the ABC classification of stock-keeping units in a pharmaceutical company. Lee et al [43] studied new allocation policies considering buyers' demands in the SC management via an ANN. Furthermore, solving OCP has many approaches such as the homotopy perturbation method, variational iteration, neural network, and numerical approaches [44][45][46][47][48][49].…”
Section: Introductionmentioning
confidence: 99%
“…Por isso, muitas organizações direcionam esforços para responder de forma mais eficaz às exigências logísticas (Lee, Jung, Eum, Park, & Nam, 2006;Silva, Ferreira, Silva, Magalhães, & Neto, 2017). Atividades como a controle de operações em tempo real, monitoramento de nível de serviço e sensoriamento remoto são essenciais para o aumento da produtividade e da qualidade em diversas funções organizacionais, influenciando os processos de tomada de decisões, a gestão e avaliação do desempenho empresarial (Haq & Kannan, 2006).…”
Section: Introductionunclassified
“…Thomas et al [22] applied neural networks for the reduction of a product-driven system emulation model. Lee et al [14] studied production quantity allocation for order fulfilment in the supply chain via a neural network approach.…”
Section: Introductionmentioning
confidence: 99%