Cold supply chain design with environmental considerations: A simulation-optimization approach

2016 ◽  
Vol 251 (1) ◽  
pp. 274-287 ◽  
Author(s):  
Ahmed Saif ◽  
Samir Elhedhli
Keyword(s):  
Supply Chain ◽  
Simulation Optimization ◽  
Supply Chain Design ◽  
Optimization Approach ◽  
Environmental Considerations

Simultaneous product family and supply chain design: An optimization approach

2016 ◽  
Vol 174 ◽  
pp. 111-118 ◽  
Author(s):  
Bertrand Baud-Lavigne ◽  
Bruno Agard ◽  
Bernard Penz
Keyword(s):  
Supply Chain ◽  
Product Family ◽  
Supply Chain Design ◽  
Optimization Approach

scholarly journals Simulation-Optimization Approach for the Production and Distribution Planning Problem in the Green Closed-Loop Supply Chain

2021 ◽  
Author(s):  
Niloofar Nadim Kabiri ◽  
Saeed Emami ◽  
Abdul Sattar Safaei
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Programming Model ◽  
Simulation Optimization ◽  
Planning Problem ◽  
Optimization Approach ◽  
Distribution Centers ◽  
Nsga Ii ◽  
Production And Distribution ◽  
Mc Simulation

Abstract With the growth of multinational companies, increasing international and domestic competition between companies, upgrading information technology, and increasing customer expectations, accurate supply chain (SC) planning is essential. In such an environment, pollution has become more severe in recent decades, and with the weakening of the environment and global warming, green SC management (GSCM) strategies have become more attention in recent decades. In this research, we consider the integrated production and distribution (PD) planning problem of a multi-level green closed-loop SC (GCLSC) system, which includes multiple recycling, manufacturing/ remanufacturing, and distribution centers. We present a three-level bi-objective programming model to maximize profit and minimize the amount of greenhouse gas emissions. A hierarchical iterative approach utilizing the LP-metric method and the non-dominated sorting genetic algorithm (NSGA-II) is introduced to solve the proposed model. Also, the Taguchi approach is applied to find optimum control parameters of NSGA-II. Moreover, Monte Carlo (MC) simulation is applied to tackle uncertainty in demand, and the NSGA-II algorithm is fusioned with MC simulation (MCNSGA-II). The results obtained show that the simulation-optimization approach presented better results than the deterministic approach.

scholarly journals Simulation-optimization techniques for closed-loop supply chain design with multiple objectives

DYNA ◽  
2018 ◽  
Vol 85 (206) ◽  
pp. 202-210 ◽  
Author(s):  
William Javier Guerrero ◽  
Laura Andrea Sotelo-Cortés ◽  
Enrique Romero-Motta
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Simulation Optimization ◽  
Multiple Objectives ◽  
Optimization Techniques ◽  
Supply Chain Design ◽  
Closed Loop Supply Chain

El objetivo de este trabajo es determinar el diseño óptimo para una cadena de suministro de tres eslabones de acuerdo a consideraciones económicas, ambientales y de gestión de riesgo. Se plantea un modelo de programación entera mixta que busca simultáneamente: Primero, minimizar el costo total del transporte y el costo asociado al uso de nodos intermedios; Segundo, minimizar las pérdidas de producto en el transporte como factor de riesgo; Tercero, minimizar el impacto ambiental por emisiones de CO2 en cada una de las conexiones y nodos. El modelo se resuelve utilizando un método exacto y métodos de optimización vía simulación que permiten obtener distintas soluciones de tal manera que el usuario podrá escoger de acuerdo a sus prioridades. Experimentos en instancias aleatorias demuestran la capacidad de los modelos y métodos propuestos.

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