Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic

DOI10.1016/j.cor.2014.12.014zbMath1348.90091OpenAlexW2003411041MaRDI QIDQ337636

Vahid Nourbakhsh, Kannan Govindan, Ahmad Jafarian

Publication date: 10 November 2016

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2014.12.014

zbMATH Keywords

multi-objective optimizationstochastic demandsustainabilitysupply chain network designgreenhouse gas emissionsrobust metaheuristic

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (13)

Evolutionary algorithms for supply chain management ⋮ Planning of complex supply chains: a performance comparison of three meta-heuristic algorithms ⋮ Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach ⋮ A hub-and-spoke architecture for a parcel delivery system using the cross-docking distribution strategy ⋮ Supply chain network design with financial considerations: a comprehensive review ⋮ Efficient multi-objective metaheuristic algorithm for sustainable harvest planning problem ⋮ Supply chain network design under uncertainty: a comprehensive review and future research directions ⋮ Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis ⋮ Fuzzy criteria programming approach for optimising the TBL performance of closed loop supply chain network design problem ⋮ Opportunities and challenges in sustainable supply chain: an operations research perspective ⋮ Designing a sustainable supply chain network integrated with vehicle routing: a comparison of hybrid swarm intelligence metaheuristics ⋮ A multi-stage stochastic program for supply chain network redesign problem with price-dependent uncertain demands ⋮ A model and an algorithm for a large-scale sustainable supplier selection and order allocation problem

Uses Software

• MOPSO

Cites Work

• Unnamed Item
• Measuring the efficiency of decision making units
• Reverse logistics and closed-loop supply chain: a comprehensive review to explore the future
• Hybrid flowshop scheduling with machine and resource-dependent processing times
• Robust possibilistic programming for socially responsible supply chain network design: a new approach
• Environmental supply chain network design using multi-objective fuzzy mathematical programming
• Vendor selection criteria and methods
• A closed-loop logistic model with a spanning-tree based genetic algorithm
• A new spanning tree-based genetic algorithm for the design of multi-stage supply chain networks with nonlinear transportation costs
• A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs
• Reverse logistics network design with stochastic lead times
• An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty
• Quantitative models for reverse logistics: A review
• A genetic algorithm for multiple objective sequencing problems in mixed model assembly lines.
• Controlling inventories with stochastic item returns: A basic model
• An electromagnetism-like mechanism for global optimization
• Handbook on data envelopment analysis
• Quantitative models for sustainable supply chain management: developments and directions
• Reverse supply chain coordination by revenue sharing contract: a case for the personal computers industry
• Evolutionary Pareto optimizers for continuous review stochastic inventory systems
• Dynamics of supply chain networks with corporate social responsibility through integrated environmental decision-making
• Integrated supply chain design models: a survey and future research directions
• A bi-objective reverse logistics network analysis for post-sale service
• Equilibrium analysis and corporate social responsibility for supply chain integration
• Reverse logistics network design and planning utilizing conditional value at risk
• A memetic algorithm for bi-objective integrated forward/reverse logistics network design
• Supply chain networks with corporate social responsibility through integrated environmental decision-making
• Supplier evaluation and selection: an augmented DEA approach
• Development of a hybrid metaheuristic to minimise earliness and tardiness in a hybrid flowshop with sequence-dependent setup times
• Multi-objective inventory control using electromagnetism-like meta-heuristic
• TWO-PHASE INTERACTIVE SATISFYING METHOD OF FUZZY MULTIPLE OBJECTIVE OPTIMIZATION WITH LINGUISTIC PREFERENCE
• Variable neighborhood search: Principles and applications

This page was built for publication: Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic