Logistic models to minimize the material handling cost within a cross-dock.

Mukherjee, Taniya; Sangal, Isha; Sarkar, Biswajit; Almaamari, Qais Ahmed

Mukherjee, Taniya; Sangal, Isha; Sarkar, Biswajit; Almaamari, Qais Ahmed.

Afiliación

Mukherjee T; Department of Mathematics & Statistics, Banasthali Vidyapith, Banasthali, Rajasthan-304022, India.
Sangal I; Administrative Science Department, College of Administrative and Financial Science, Gulf University, Sanad 26489, Kingdom of Bahrain.
Sarkar B; Department of Mathematics & Statistics, Banasthali Vidyapith, Banasthali, Rajasthan-304022, India.
Almaamari QA; Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, South Korea.

Math Biosci Eng ; 20(2): 3099-3119, 2023 Jan.

Article en En | MEDLINE | ID: mdl-36899573

Palabras clave

advanced logistics; cross-docking; material handling; scheduling; storage space allocation

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Risk_factors_studies Idioma: En Revista: Math Biosci Eng Año: 2023 Tipo del documento: Article País de afiliación: India

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