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[PDF] Top 20 A multi-objective robust optimization model for a facility location-allocation problem in a supply chain under uncertainty

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A multi-objective robust optimization model for a facility location-allocation problem in a supply chain under uncertainty

A multi-objective robust optimization model for a facility location-allocation problem in a supply chain under uncertainty

... and robust optimization (Ben-Tal & Nemirovski, 2000; Bertsimas & Sim, ...the uncertainty inherent in the real world problems, three distinct methods were frequently ... See full document

12

Utilizing Decision Making Methods and Optimization Techniques to Develop a Model for International Facility Location Problem under Uncertainty

Utilizing Decision Making Methods and Optimization Techniques to Develop a Model for International Facility Location Problem under Uncertainty

... International location decision is a risky and complicated decision due to uncertainty and volatility of international environments which includes various qualitative and quantitative ...international ... See full document

10

A Robust Optimization Methodology for Multi-objective Location-transportation Problem in Disaster Response Phase under Uncertainty

A Robust Optimization Methodology for Multi-objective Location-transportation Problem in Disaster Response Phase under Uncertainty

... the problem of distribution. The authors developed a multi-variable optimization model based on the aspects under ...proposed model is a core of a decision-making back up system ... See full document

9

A location-inventory model for distribution centers in a three-level supply chain under uncertainty   Pages 93-110
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A location-inventory model for distribution centers in a three-level supply chain under uncertainty Pages 93-110 Download PDF

... joint location-inventory problem where a three-level supply chain networks under uncertain environment through finite discrete ...a robust optimization model and ... See full document

18

Robust global supply chain planning under uncertainty

Robust global supply chain planning under uncertainty

... “robust optimization” emerged from dissatisfaction with limitations o f Markowitz’s mean-risk model, and the stochastic recourse model (Bertsimas and Thiele, ...mean-risk model, the ... See full document

419

A multi-objective location-inventory model for 3PL providers with sustainable considerations under uncertainty   Pages 615-634
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A multi-objective location-inventory model for 3PL providers with sustainable considerations under uncertainty Pages 615-634 Download PDF

... sustainable supply chain management, which considers economic, environmental and social benefits, ...a multi-objective model to design logistics network for 3PL providers by considering ... See full document

20

A multi-objective optimization model for locating the distribution warehouses in the logistic network supply chain: A case study of Bonny Chow Co.

A multi-objective optimization model for locating the distribution warehouses in the logistic network supply chain: A case study of Bonny Chow Co.

... dynamic multi-objective optimization model for location- allocation of Grain silo in food supply chain ...The problem has been solved using ... See full document

17

A Bi-Objective Programming Model for Reliable Supply Chain Network Design Under Facility Disruption

A Bi-Objective Programming Model for Reliable Supply Chain Network Design Under Facility Disruption

... SCND problem specifies the components of the network and the missions regarding its ...each location each selected facility is assigned one or several productions, assemblies, or distribution ... See full document

13

A De Novo programming approach for a robust closed-loop supply chain network design under uncertainty: An M/M/1 queueing model   Pages 211-228
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A De Novo programming approach for a robust closed-loop supply chain network design under uncertainty: An M/M/1 queueing model Pages 211-228 Download PDF

... (2001) model. They developed a stochastic model for multi-product networks under uncertainty in demand and returns and solved the model using a scenario-based ...MINLP ... See full document

18

A Multi-Objective Collection-Distribution Center Location and Allocation Problem in a Closed-Loop Supply Chain for the Chinese Beer Industry

A Multi-Objective Collection-Distribution Center Location and Allocation Problem in a Closed-Loop Supply Chain for the Chinese Beer Industry

... a model for a multi-objective collection-distribution center location and allocation problem in a closed loop supply chain for the beer industry, in which the ... See full document

17

A new multi objective optimization model for designing a green supply chain network under uncertainty   Pages 15-32
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A new multi objective optimization model for designing a green supply chain network under uncertainty Pages 15-32 Download PDF

... two-layer model considering capacity constraints is depicted whereby the total costs are minimized as well as choosing the optimal ...The model of Pirkal and Jyraman (1998) is multi product ... See full document

18

A robust optimization model for blood supply chain in emergency situations   Pages 535-554
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A robust optimization model for blood supply chain in emergency situations Pages 535-554 Download PDF

... dynamic optimization model by using robust stochastic approach for determining the number and the location of blood facilities, and also specifying inventory levels in hospitals at the end of ... See full document

20

A novel approach for solving a capacitated location allocation problem   Pages 203-214
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A novel approach for solving a capacitated location allocation problem Pages 203-214 Download PDF

... and multi objective ...the problem, but the calculating scale and store content will be increased nonlinearly with the addition of parameters in the model, so it would be helpful to use other ... See full document

12

Aggregate production planning: A literature review and future research directions   Pages 309-330
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Aggregate production planning: A literature review and future research directions Pages 309-330 Download PDF

... concepts, supply chain concepts, machine utilization and multiple product markets have not been sufficiently taken into account by practitioners; therefore they are located at the top of ... See full document

22

Dynamic Coal Logistics Facility Location under Demand Uncertainty

Dynamic Coal Logistics Facility Location under Demand Uncertainty

... of uncertainty in SCND models is a natural extension of a deterministic approach because all the model parameters, in practice, are not ...and supply services reliability have been recognized and ... See full document

7

A multi-objective location routing problem using imperialist competitive algorithm   Pages 481-488
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A multi-objective location routing problem using imperialist competitive algorithm Pages 481-488 Download PDF

... programming model to optimize the storage location and vehicle ...first objective function of the model minimizes the total cost associated with the transportation and storage of rental fee, ... See full document

8

Solving uncapacitated multiple allocation p-hub center problem by Dijkstra’s algorithm-based genetic algorithm and simulated annealing   Pages 405-418
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Solving uncapacitated multiple allocation p-hub center problem by Dijkstra’s algorithm-based genetic algorithm and simulated annealing Pages 405-418 Download PDF

... hub location problem and proposed a GA based heuristic to solve this problem under capacitated ...with uncertainty and qualitative parameters, fuzzy systems were ...swarm ... See full document

14

A multi-objective imperialist competitive algorithm for a capacitated hub covering location problem   Pages 671-688
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A multi-objective imperialist competitive algorithm for a capacitated hub covering location problem Pages 671-688 Download PDF

... location problem. As a matter of fact, if a single-objective model with capacity constraints is chosen, the number of options of the decision maker (DM) is limited to the acceptance or ... See full document

18

Multi-objective robust trajectory optimisation under epistemic uncertainty and imprecision

Multi-objective robust trajectory optimisation under epistemic uncertainty and imprecision

... our optimization problem we have multiple objectives, which all should be optimized in order for the mission to be likely to ...one objective might conflict with optimizing another, ...a ... See full document

13

The green supplier selection and order allocation in the supply chain under stochastic conditions

The green supplier selection and order allocation in the supply chain under stochastic conditions

... Dickson (1966) presented and listed 23 important evaluation criteria for supplier selection. (Wu et al., 2010; Haleh et al. (2011); Zhang et al., 2011) and many other researchers studied the supplier selection and ... See full document

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