Demand Management in the Supply Chain: A Focus on Agribusiness

Rossana Flores; Eileen Lázaro; Edgar Ramos; Kelsey Provost; Mamun Habib

doi:10.1007/978-3-030-51981-0_42

Demand Management in the Supply Chain: A Focus on Agribusiness

Rossana Flores, Eileen Lázaro, Edgar Ramos, Kelsey Provost, Mamun Habib

Facultad de Ingeniería

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

This article explores and reviews the models and frameworks proposed based on a literature research to contrast and equate the evolution of the Demand Management (DM) within the Agri-food Supply Chain Management (SCM), and the proposals involved in linking integration management at all levels. The literature review illustrates the agri-food area has not taken a representative role in the development of modeling proposals or specialized frameworks in the sector that lead on how to correctly manage demand. An appraisal and application model are proposed, based on the structures and models reviewed, on the key processes or activities of DM and its main attributes and metrics in the agribusiness.

Idioma original	Inglés
Título de la publicación alojada	Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2020 Virtual Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping
Editores	Beata Mrugalska, Stefan Trzcielinski, Waldemar Karwowski, Massimo Di Nicolantonio, Emilio Rossi
Editorial	Springer
Páginas	333-340
Número de páginas	8
ISBN (versión impresa)	9783030519803
DOI	https://doi.org/10.1007/978-3-030-51981-0_42
Estado	Publicada - 2020
Evento	AHFE Virtual Conference on Production Management and Process Control, Human Aspects of Advanced Manufacturing and the Additive Manufacturing, Modeling Systems and 3D Prototyping, 2020 - San Diego, Estados Unidos Duración: 16 jul. 2020 → 20 jul. 2020

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1216 AISC
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	AHFE Virtual Conference on Production Management and Process Control, Human Aspects of Advanced Manufacturing and the Additive Manufacturing, Modeling Systems and 3D Prototyping, 2020
País/Territorio	Estados Unidos
Ciudad	San Diego
Período	16/07/20 → 20/07/20

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1007/978-3-030-51981-0_42

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Flores, R., Lázaro, E., Ramos, E., Provost, K., & Habib, M. (2020). Demand Management in the Supply Chain: A Focus on Agribusiness. En B. Mrugalska, S. Trzcielinski, W. Karwowski, M. Di Nicolantonio, & E. Rossi (Eds.), Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2020 Virtual Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping (pp. 333-340). (Advances in Intelligent Systems and Computing; Vol. 1216 AISC). Springer. https://doi.org/10.1007/978-3-030-51981-0_42

Flores, Rossana ; Lázaro, Eileen ; Ramos, Edgar et al. / Demand Management in the Supply Chain : A Focus on Agribusiness. Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2020 Virtual Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping. editor / Beata Mrugalska ; Stefan Trzcielinski ; Waldemar Karwowski ; Massimo Di Nicolantonio ; Emilio Rossi. Springer, 2020. pp. 333-340 (Advances in Intelligent Systems and Computing).

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abstract = "This article explores and reviews the models and frameworks proposed based on a literature research to contrast and equate the evolution of the Demand Management (DM) within the Agri-food Supply Chain Management (SCM), and the proposals involved in linking integration management at all levels. The literature review illustrates the agri-food area has not taken a representative role in the development of modeling proposals or specialized frameworks in the sector that lead on how to correctly manage demand. An appraisal and application model are proposed, based on the structures and models reviewed, on the key processes or activities of DM and its main attributes and metrics in the agribusiness.",

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author = "Rossana Flores and Eileen L{\'a}zaro and Edgar Ramos and Kelsey Provost and Mamun Habib",

note = "Publisher Copyright: {\textcopyright} 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; AHFE Virtual Conference on Production Management and Process Control, Human Aspects of Advanced Manufacturing and the Additive Manufacturing, Modeling Systems and 3D Prototyping, 2020 ; Conference date: 16-07-2020 Through 20-07-2020",

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Flores, R, Lázaro, E, Ramos, E, Provost, K & Habib, M 2020, Demand Management in the Supply Chain: A Focus on Agribusiness. En B Mrugalska, S Trzcielinski, W Karwowski, M Di Nicolantonio & E Rossi (eds.), Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2020 Virtual Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping. Advances in Intelligent Systems and Computing, vol. 1216 AISC, Springer, pp. 333-340, AHFE Virtual Conference on Production Management and Process Control, Human Aspects of Advanced Manufacturing and the Additive Manufacturing, Modeling Systems and 3D Prototyping, 2020, San Diego, Estados Unidos, 16/07/20. https://doi.org/10.1007/978-3-030-51981-0_42

Demand Management in the Supply Chain: A Focus on Agribusiness. / Flores, Rossana; Lázaro, Eileen; Ramos, Edgar et al.
Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2020 Virtual Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping. ed. / Beata Mrugalska; Stefan Trzcielinski; Waldemar Karwowski; Massimo Di Nicolantonio; Emilio Rossi. Springer, 2020. p. 333-340 (Advances in Intelligent Systems and Computing; Vol. 1216 AISC).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Demand Management in the Supply Chain

T2 - AHFE Virtual Conference on Production Management and Process Control, Human Aspects of Advanced Manufacturing and the Additive Manufacturing, Modeling Systems and 3D Prototyping, 2020

AU - Flores, Rossana

AU - Lázaro, Eileen

AU - Ramos, Edgar

AU - Provost, Kelsey

AU - Habib, Mamun

PY - 2020

Y1 - 2020

N2 - This article explores and reviews the models and frameworks proposed based on a literature research to contrast and equate the evolution of the Demand Management (DM) within the Agri-food Supply Chain Management (SCM), and the proposals involved in linking integration management at all levels. The literature review illustrates the agri-food area has not taken a representative role in the development of modeling proposals or specialized frameworks in the sector that lead on how to correctly manage demand. An appraisal and application model are proposed, based on the structures and models reviewed, on the key processes or activities of DM and its main attributes and metrics in the agribusiness.

AB - This article explores and reviews the models and frameworks proposed based on a literature research to contrast and equate the evolution of the Demand Management (DM) within the Agri-food Supply Chain Management (SCM), and the proposals involved in linking integration management at all levels. The literature review illustrates the agri-food area has not taken a representative role in the development of modeling proposals or specialized frameworks in the sector that lead on how to correctly manage demand. An appraisal and application model are proposed, based on the structures and models reviewed, on the key processes or activities of DM and its main attributes and metrics in the agribusiness.

KW - Agri-business

KW - Agri-food Supply Chain

KW - Demand Management

KW - Models

KW - Supply Chain Management

UR - https://www.scopus.com/pages/publications/85088247301

U2 - 10.1007/978-3-030-51981-0_42

DO - 10.1007/978-3-030-51981-0_42

M3 - Contribución a la conferencia

AN - SCOPUS:85088247301

SN - 9783030519803

T3 - Advances in Intelligent Systems and Computing

SP - 333

EP - 340

BT - Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2020 Virtual Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping

A2 - Mrugalska, Beata

A2 - Trzcielinski, Stefan

A2 - Karwowski, Waldemar

A2 - Di Nicolantonio, Massimo

A2 - Rossi, Emilio

PB - Springer

Y2 - 16 July 2020 through 20 July 2020

ER -

Flores R, Lázaro E, Ramos E, Provost K, Habib M. Demand Management in the Supply Chain: A Focus on Agribusiness. En Mrugalska B, Trzcielinski S, Karwowski W, Di Nicolantonio M, Rossi E, editores, Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2020 Virtual Conferences on Human Aspects of Advanced Manufacturing, Advanced Production Management and Process Control, and Additive Manufacturing, Modeling Systems and 3D Prototyping. Springer. 2020. p. 333-340. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51981-0_42

Demand Management in the Supply Chain: A Focus on Agribusiness

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