Longitudinal cooperative robust optimization model for sustainable supply chain management

Jin, Maozhu; Song, Lijun; Wang, Yanan; Zeng, Yucheng

doi:10.1016/j.chaos.2018.09.008

Cited by 14 publications

(4 citation statements)

References 16 publications

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“…Sin embargo, en su análisis se observa que las capacidades dinámicas de la cadena de suministro solo afectan positivamente el desempeño ambiental, sin tener efecto en el desempeño económico y social. Jin et al, (2018) formulan un modelo teórico que ilustra los impactos del optimismo verde, que se refiere al sesgo optimista de los gerentes sobre la conciencia ambiental del consumidor. Para los autores este optimismo puede desalentar la inversión en desarrollo de productos verdes en una cadena de suministro sostenible.…”

Section: Sostenibilidad Ambiental Y Reducción De Impactounclassified

Prácticas de gestión sostenible en las cadenas de suministro

Rodríguez-Guevara,

García-Bonilla,

Pineda Ospina

2024

Des.Geren

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Objetivo: analizar cómo la implementación de prácticas de gestión sostenible en cadenas de suministro están vinculadas con la mejora del desempeño económico, ambiental y social en diversas industrias y países, con un enfoque específico en su aplicabilidad para la producción de café en Colombia. Método: el diseño metodológico de este estudio combinó técnicas de análisis bibliométrico, análisis léxico-semántico y análisis de argumentación en artículos indexados en la base de datos Web of Science (WoS). La integración metodológica mostró un enfoque multidimensional para abordar la complejidad de la gestión sostenible de cadenas de suministro y sus implicaciones para la sostenibilidad y el desempeño global. Resultados: entre los principales hallazgos, se destacan las dimensiones de colaboración y coordinación en cadenas de suministro, así como la contextualización y adaptación a diferentes industrias y países. Se identificaron efectos positivos en el desempeño económico, la responsabilidad social y el compromiso con las partes interesadas, y la sostenibilidad ambiental, destacándose la reducción de impactos. Estos aspectos se erigen como los principales ejes explicativos fundamentales para comprender la contribución de las prácticas de gestión sostenible de cadenas de suministro al desempeño económico, ambiental y social. Discusión: el desarrollo del análisis se enfocó en los efectos derivados de la incorporación de prácticas sostenibles en la producción. Sin embargo, estas actividades implican a la articulación de estrategias entre los actores involucrados, los cual demanda la sincronización de objetivos y metas que varían tanto a nivel intra como intersectorial y entre países. Esto destaca la necesidad imperante de una mayor alineación en los objetivos económicos, ambientales y sociales. Conclusiones: Los resultados destacaron como la gestión sostenible de cadenas de suministro es una estrategia esencial para promover la sostenibilidad en las operaciones comerciales y contribuir al desarrollo sostenible a nivel global. Al integrar las cinco categorías analíticas clave, las empresas pueden alcanzar un equilibrio entre el crecimiento económico, la sostenibilidad ambiental y social, y el compromiso con las partes interesadas.

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Section: Sostenibilidad Ambiental Y Reducción De Impactounclassified

Prácticas de gestión sostenible en las cadenas de suministro

Rodríguez-Guevara,

García-Bonilla,

Pineda Ospina

2024

Des.Geren

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“…Constraint (34) ensures that a product can be produced only when it can be supplied in the network. Constraints (35) and (36) allow to replace the products by their alternatives.…”

Section: Mathematical Formulationmentioning

confidence: 99%

“…Prob10 (25,18,25,140,10,10,15,7,25,8,8) NED gke ∼N(10, 3) ENV S2P v ∼N(10, 3) VLost P−E jeg ∼N (30,5) Prob11 (30,20,28,150,10,10,20,8,30,10,10) Demand cg ∼N(50, 10) ENV P2D v ∼N(10, 3) VLost D−L rlg ∼N (30,5) Prob12 (30,22,30,180,10,10,20,8,35,10,10) Cap jeg ∼N(500,10) ENV C v ∼N (10,3) TA B L E 3 The potential levels considered for the parameters of the proposed meta-heuristic algorithms It can be seen easily from Table 5 that for the case of small size test problems, the MGWO, MALO, and MDA approaches perform better than the NSGAII and SPEAII approaches in all of the evaluation metrics. In most of the test problems 1 to 4, the MALO and MGWO approaches perform better than the MDA approach in approximately all metrics.…”

Section: Size Test Problemmentioning

confidence: 99%

Multi‐objective location‐allocation‐routing problem of perishable multi‐product supply chain with direct shipment and open routing possibilities under sustainability

Fishani

Mahmoodirad

Niroomand

et al. 2022

Concurrency and Computation

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In this study a multi-objective formulation is proposed for designing a supply chain of perishable products including suppliers, plants, distributors, and customers under sustainable development. In addition to the studies of the literature, direct shipment between producers and customers and also alternative products possibility are allowed. In this problem the objectives like facilities establishment costs, transportation costs, negative environmental impacts, and social impact (fixed and variable employment rates) are optimized simultaneously. As in real situations, most of the transportation activities of such supply chain are performed by hiring transportation devices, the open routing logic is applied to form the travelling path of each hired transportation device. Furthermore, the possibility of direct shipment from the plants to the customers is considered in order to increase profitability of the plants. Because of the NP-hard nature of the supply chain design problems, some meta-heuristic solution approaches of the literature are modified to multi-objective form and applied to solve the problem. Several test problems from small to large sizes are generated randomly to evaluate the meta-heuristic algorithms. As a result, among the proposed algorithms, the multi-objective grey wolf optimizer (MGWO) perform better than others by considering four wellknown evaluation metrics. At the end, a case study from perishable products supply chain of Iran is solved and analyzed to show the applicability of the proposed problem.

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“…Prob10 (25,18,25,140,10,10,15,7,25,8,8) ~(10,3) 2~( 10,3) −~ ( 30,5) Prob11 (30,20,28,150,10,10,20,8,30,10,10) ~(50,10) 2~( 10,3) −~( 30,5)…”

Section: Largeunclassified

Multi-Objective Location-Allocation-Routing Problem of Perishable Multi-Product Supply Chain With Direct Shipment and Open Routing Possibilities Under Sustainability

Mahmoodirad¹,

Ba²,

Niroomand³

et al. 2021

Preprint

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In this study a multi-objective formulation is proposed for designing a supply chain of perishable products including suppliers, plants, distributors, and customers under sustainable development. In addition to the studies of the literature, direct shipment between producers and customers and also alternative products possibility are allowed. In this problem the objectives like facilities establishment costs, transportation costs, negative environmental impacts, and social impact (fixed and variable employment rates) are optimized simultaneously. As in real situations, most of the transportation activities of such supply chain are performed by hiring transportation devices, the open routing logic is applied to form the travelling path of each hired transportation device. Furthermore, the possibility of direct shipment from the plants to the customers is considered in order to increase profitability of the plants. Because of the NP-hard nature of the supply chain design problems, some meta-heuristic solution approaches of the literature are modified to multi-objective form and applied to solve the problem. Several test problems from small to large sizes are generated randomly to evaluate the meta-heuristic algorithms. As a result, among the proposed algorithms, the multi-objective grey wolf optimizer (MGWO) perform better than others by considering four well-known evaluation metrics. At the end, a case study from perishable products supply chain of Iran is solved and analyzed to show the applicability of the proposed problem.

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Longitudinal cooperative robust optimization model for sustainable supply chain management

Cited by 14 publications

References 16 publications

Prácticas de gestión sostenible en las cadenas de suministro

Prácticas de gestión sostenible en las cadenas de suministro

Multi‐objective location‐allocation‐routing problem of perishable multi‐product supply chain with direct shipment and open routing possibilities under sustainability

Multi-Objective Location-Allocation-Routing Problem of Perishable Multi-Product Supply Chain With Direct Shipment and Open Routing Possibilities Under Sustainability

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