A multi-objective stochastic model for a reverse logistics supply chain design with environmental considerations

2020 ◽  
Author(s):  
M. Saleh Moslehi ◽  
Hadi Sahebi ◽  
Ashkan Teymouri
Keyword(s):  
Supply Chain ◽  
Stochastic Model ◽  
Reverse Logistics ◽  
Supply Chain Design ◽  
Multi Objective ◽  
Environmental Considerations

A Multi-Objective Stochastic Model for a Green Supply Chain planning

2012 ◽  
Vol 45 (6) ◽  
pp. 514-521
Author(s):  
S.M.J. MIRZAPOUR AL-E-HASHEM ◽  
Z. SAZVAR ◽  
A. BABOLI ◽  
Y. REKIK
Keyword(s):  
Supply Chain ◽  
Stochastic Model ◽  
Green Supply Chain ◽  
Supply Chain Planning ◽  
Multi Objective

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

2021 ◽  
Author(s):  
Ali Mahmoodirad ◽  
Behzad Aghaei Fishani ◽  
Sadegh Niroomand ◽  
Mohammad Fallah
Keyword(s):  
Supply Chain ◽  
Social Impact ◽  
Heuristic Algorithms ◽  
Supply Chain Design ◽  
Grey Wolf Optimizer ◽  
Test Problems ◽  
Perishable Products ◽  
Heuristic Solution ◽  
Routing Problem ◽  
Multi Objective

Abstract 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.

Evaluation of multi-objective optimization approaches for solving green supply chain design problems

Omega ◽  
2017 ◽  
Vol 68 ◽  
pp. 168-184 ◽  
Author(s):  
Miłosz Kadziński ◽  
Tommi Tervonen ◽  
Michał K. Tomczyk ◽  
Rommert Dekker
Keyword(s):  
Supply Chain ◽  
Supply Chain Design ◽  
Green Supply Chain ◽  
Multi Objective Optimization ◽  
Design Problems ◽  
Multi Objective
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