scholarly journals A Robust Mathematical Model for Sustainable and Resilient Supply Chain Network Design: Preparing a Supply Chain to Deal with Disruptions

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Zahra Sadeghi ◽  
Omid Boyer ◽  
Shila Sharifzadeh ◽  
Nadia Saeidi
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Stochastic Programming ◽  
Programming Approach ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Environmental Aspects ◽  
Average Performance ◽  
Management Approaches ◽  
Constraint Method

Supply chains suffer from serious vulnerabilities and disruptions with increasing global crises, including pandemics and natural disasters. Dynamic and complex supply chain environments have constantly led companies to modern management approaches such as resilience to address disruptions. Besides, the sustainability approach enhances the strength of the supply chain in disruptions by considering economic, social, and environmental aspects. This paper develops a mathematical model for designing a supply chain network considering resilience and sustainability. In this model, suppliers were exposed to disruption with different probabilities. The model has three objectives: minimizing total costs and maximizing suppliers’ social and environmental scores. A robust scenario-based stochastic programming approach has been used for potential disruption scenarios. The multiobjective model is solved by the ε -constraint method in GAMS software. The numerical results show the performance of the model in a different situation. Also, the robust scenario-based stochastic programming approach allows the average performance of the supply chain in each objective to improve.

scholarly journals Designing an Agile Closed-Loop Supply Chain with Environmental Aspects Using a Novel Multiobjective Metaheuristic Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Liu Kai ◽  
Ramina Malekalipour Kordestanizadeh
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Closed Loop ◽  
Supply Chain Design ◽  
Supply Chain Network ◽  
Metaheuristic Algorithm ◽  
Environmental Aspects ◽  
Closed Loop Supply Chain ◽  
The Mathematical Model ◽  
Constraint Method

Success in supply chain implementation depends on the way of dealing with market changes and customer needs. Agility is a concept that has been introduced in recent years to improve the supply chain. On the other hand, paying attention to environmental problems is another issue, and chains are trying to increase their popularity by focusing on this issue. Considering the importance of this issue, designing a multiobjective closed-loop supply chain network has been discussed in this research. The main contribution of this research is the integration of green and agility concepts in supply chain design. In this regard, a mathematical model is presented with economic, environmental, and agility objectives. First, the mathematical model is solved using the Epsilon constraint method, and then, the multiobjective weed algorithm is proposed to solve the model. The results of comparisons between the two methods show that the multiobjective weed algorithm has performed well in terms of various metrics of NPS, SNS, and Max Spread. In terms of the solving time, the average solving time of this algorithm was about 0.1% of the solving time of the Epsilon constraint method. Moreover, all cases show the superiority of the multiobjective weed algorithm over the Epsilon constraint method in solving the proposed mathematical model.

scholarly journals Integrated Location-Production-Distribution Planning in a Multiproducts Supply Chain Network Design Model

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Vincent F. Yu ◽  
Nur Mayke Eka Normasari ◽  
Huynh Trung Luong
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Network Design ◽  
Optimal Solution ◽  
Medium Size ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Distribution Centers ◽  
Distribution Planning ◽  
Production And Distribution

This paper proposes integrated location, production, and distribution planning for the supply chain network design which focuses on selecting the appropriate locations to build a new plant and distribution center while deciding the production and distribution of the product. We examine a multiechelon supply chain that includes suppliers, plants, and distribution centers and develop a mathematical model that aims at minimizing the total cost of the supply chain. In particular, the mathematical model considers the decision of how many plants and distribution centers to open and where to open them, as well as the allocation in each echelon. The LINGO software is used to solve the model for some problem cases. The study conducts various numerical experiments to illustrate the applicability of the developed model. Results show that, in small and medium size of problem, the optimal solution can be found using this solver. Sensitivity analysis is also conducted and shows that customer demand parameter has the greatest impact on the optimal solution.

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