Model based on Hybridized Game Theory to Optimize Logistics: Case of Blood Supply Chain

Mouatassim, Salma; Ahlaqqach, Mustapha; Benhra, Jamal; Oualidi, My Ali El

doi:10.5120/ijca2016910910

Cited by 5 publications

(4 citation statements)

References 37 publications

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“…There are studies that concentrated on a single problem type such as location [68], allocation [50,58], and routing [27,67,70,76]. Mohamed et al [68] proposed a BSCN model with BDCs, RBCs, disposal centers and hospitals.…”

Section: Studies Including a Single Type Of Problemmentioning

confidence: 99%

A supply chain network design for blood and its products using genetic algorithm: A case study of Turkey

Ağaç

Baki

Ar³

et al. 2023

JIMO

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<p style='text-indent:20px;'>In the paper, a novel mathematical model for blood supply chain network and a variant of Genetic Algorithm for the problem are proposed. The proposed mathematical model is developed using Mixed-integer nonlinear programming. The model is designed as a location, allocation, and routing problem that includes determining locations of local blood centers, assigning transfusion and blood donation centers to predetermined local blood centers, and routing between them. Eventually, a case study is conducted in the Eastern Black Sea Region of Turkish Red Crescent to illustrate the practicality and validity of the proposed model.</p>

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Section: Studies Including a Single Type Of Problemmentioning

confidence: 99%

A supply chain network design for blood and its products using genetic algorithm: A case study of Turkey

Ağaç

Baki

Ar³

et al. 2023

JIMO

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“…Concerning the environmental context, several studies have used game-theory models for solving and optimizing logistics problems, proving that collaboration between players allows the optimization of logistic operations and gains. For instance, recently, Mouatassim et al adopted a hybridized game-theory model to form coalitions and optimize transport costs in the case of a blood supply chain [23], while [24] proposed an integrated financial game-theory model for humanitarian organizations. Shi and Voß used game theory to model and analyze the behaviors of players in the shipping industry, considering game theory as a decision-making methodology which can usefully analyze interdependencies and interrelations in network-based services [25].…”

Section: Game Theory In Environmental Preservationmentioning

confidence: 99%

Plastic-Pollution Reduction and Bio-Resources Preservation Using Green-Packaging Game Coopetition

Carfì

Donato

2022

Mathematics

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In this paper, we deal with the renowned problem of plastic pollution caused by food consumption and its conservation. Specifically, we consider the producer/reseller decision problem of industrial organizations in conditions of perfect competition within small oligopoly clusters. Indeed, very often, one major sustainability problem is that the presence of direct competitors in the same market determines entrepreneurship choices which lower production costs and packaging costs at the expense of the environment and public health. For this purpose, in order to show economic scenarios in which the respect and preservation of the environment and natural resources are quantitatively compatible with profits and economic growth, we present a provisional coopetitive model of the strategic interaction of two food enterprises, in direct duopoly competition, through investments in sustainable-packaging technologies. The macroeconomic goal is to propose possible actions to reduce carbon footprints and the inflow of plastics to the marine environment, following the environmental targets established by the United Nations, also in the presence of direct perfect oligopolistic competition in the same market. From a microeconomic point of view, we assume the existence of two competitors selling a very similar type of food in the same market; therefore, within a competitive interaction, we adopt a classic “Cournot duopoly” core upon which we define a parametric game, namely, a coopetitive game, together with its possible dynamical scenarios and solutions. We should notice that beyond the parameter arising from the cooperation construct, we introduce a matrix of stochastic variables, which we can also consider as the state of the world. Moreover, we numerically examine one possible state of the world to exemplify our model proposal. We determine, analytically and graphically, the optimal investment in the cooperative strategy, the purely coopetitive solution and some super-cooperative solutions. The cooperative strategy represents the common investment chosen to acquire advanced green technologies for innovative packaging, while the fourth component of any solution in the strategy space represents the state of the world at the end of the coopetitive process in which, finally, we can see the profits and costs deriving from the adoption of the green technologies.

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“…However, constraint (26) prevent starting from incinerators or ending at clinics. Constraint (27) ensure the use of the same vehicle by origin and destination. Constraints (28) and (29) eliminate sub tours such as in equations (9) to (14) and ensure that each clinic precedes its corresponding incinerator.…”

Section: 3) Ridesharing Constraints: Rmohhfcvrppdtw Modelmentioning

confidence: 99%

“…Also we will integrate the game theory approach to establish coalitions between clinics. In fact, This approach has been successful in creating such coalition (Mouatassim et al, 2016)…”

Section: Experimentation Of the Weighting Parametersmentioning

confidence: 99%

Modeling and Optimization of a Multi-Objective Ridesharing Problem in the Case of Medical Waste

2019

IJRTE

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Medical wastes is now a major concern of the world community and more particularly that of Moroccans. Indeed, these wastes, classified as hazardous products, are the source of serious infections, contamination of groundwater and air pollution. Through this paper, we encouraged the use of ridesharing to cope with the risks and costs arising from the logistics of these medical wastes. Thus, we have proposed a mathematical model that governs the multi-objective nature of this logistics and the various constraints associated with it. Since the exact approach had difficulties in large instances, we proposed the Genetic Algorithm and Evolution Strategy as metaheuristic to solve the model. The Evolution Strategy showed its efficiency and stability and therefore we have demonstrated through this metaheuristic the possibility of a compromise between the main objectives of our model.

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Model based on Hybridized Game Theory to Optimize Logistics: Case of Blood Supply Chain

Cited by 5 publications

References 37 publications

A supply chain network design for blood and its products using genetic algorithm: A case study of Turkey

A supply chain network design for blood and its products using genetic algorithm: A case study of Turkey

Plastic-Pollution Reduction and Bio-Resources Preservation Using Green-Packaging Game Coopetition

Modeling and Optimization of a Multi-Objective Ridesharing Problem in the Case of Medical Waste

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