Open AccessJournal Article
A Network Design Model for a Resilient Closed-Loop Supply Chain with Lateral Transshipment
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A model for the closed-loop supply chain network design with disruption risk is developed by considering supply disruption, two factors including extra inventory and lateral transshipment are used as resilience strategies to reduce the supply chain costs.Abstract:
This paper develops a model for the closed-loop supply chain network design with disruption risk. By considering supply disruption, two factors including extra inventory and lateral transshipment are used as resilience strategies. The main purpose is to reduce the supply chain costs due to the location decisions, quantity of products between different levels and lost sale. Disruption in a supply is assumed completely by different scenarios, and then the problem is formulated by a mixed-integer programming model. Furthermore, a two-stage stochastic approach is implemented to tackle uncertainty. Finally, a sensitivity analysis is carried out to examine the effects of the resilience strategies on the structure of the supply chain and to propose some managerial insight for using the model in real world situations.read more
Citations
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A robust optimization model for sustainable and resilient closed-loop supply chain network design considering conditional value at risk
TL;DR: The results revealed that the robust counterpart provides a better estimation of the total cost, pollution, energy consumption, and employment level compared to the basic model.
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Optimizing a robust bi-objective supply chain network considering environmental aspects: a case study in plastic injection industry
TL;DR: The aims of this research are to propose a bi-objective mathematical programming model to integrate the flows of the entire chain to improve performance in conditions of uncertainty associated with the plastic injection industry.
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Competitive green supply chain network design model considering inventory decisions under uncertainty: a real case of a filter company
Morteza Ghomi-Avili,Reza Tavakkoli-Moghaddam,Seyed Gholamreza Jalali Naeini,Armin Jabbarzadeh,Armin Jabbarzadeh +4 more
TL;DR: A robust bi-level model of the single-product multi-period network design problem is proposed for a competitive green supply chain considering pricing and inventory decisions under uncertainty and disruption risks and is capable of dealing with such uncertainties by implementing resilience strategies including, inventory decisions and having a contract with reliable suppliers.
Journal ArticleDOI
Closed-loop supply chain network design with sustainability and resiliency criteria.
Muhammad Salman Shabbir,Arshad Mahmood,Roy Setiawan,Chairun Nasirin,Rusdiyanto Rusdiyanto,Gazali Gazali,Mohd Anuar Arshad,Shahid Khan,Fatima Batool +8 more
TL;DR: In this article, a two-stage stochastic programming approach is used to model the closed-loop supply chain under uncertainty with the use of resiliency, sustainability, and reliability dimensions.
Journal ArticleDOI
A bi-objective model for a multi-echelon supply chain design considering efficiency and customer satisfaction: a case study in plastic parts industry
TL;DR: The proposed bi-objective mixed-integer non-linear programming (MINLP) model is a member of the NP-hard class of optimization problems and uses Taguchi method for tuning the parameters of algorithms in order to achieve better performances.
References
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Facility location and supply chain management - A review
TL;DR: Basic features that facility location models must capture to support decision-making involved in strategic supply chain planning are identified and applications ranging across various industries are presented.
Journal ArticleDOI
The Impact of Product Recovery on Logistics Network Design
Moritz Fleischmann,Moritz Fleischmann,Patrick Beullens,Patrick Beullens,Jacqueline M. Bloemhof-Ruwaard,Jacqueline M. Bloemhof-Ruwaard,Luk N. Van Wassenhove,Luk N. Van Wassenhove +7 more
TL;DR: This paper considers logistics network design in a reverse logistics context with a generic facility location model and uses this model to analyze the impact of product return flows on logistics networks.
Journal ArticleDOI
A robust optimization approach to closed-loop supply chain network design under uncertainty
TL;DR: In this article, a robust optimization model for handling the inherent uncertainty of input data in a closed-loop supply chain network design problem is proposed, and the robust counterpart of the proposed mixed-integer linear programming model is presented by using the recent extensions in robust optimization theory.
Journal ArticleDOI
An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty
TL;DR: A generalized model for the design of a generic reverse logistics network where capacity limits, multi-product management and uncertainty on product demands and returns are considered is proposed.
Journal ArticleDOI
A memetic algorithm for bi-objective integrated forward/reverse logistics network design
TL;DR: This paper proposes a model for integrated logistics network design to avoid the sub-optimality caused by a separate, sequential design of forward and reverse logistics networks, and develops a bi-objective mixed integer programming formulation to minimize the total costs and maximize the responsiveness of a logistics network.