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The multi-vehicle travelling purchaser problem with priority in purchasing and uncertainty in demand

Jesri, Zahra Hasanpour; Eshghi, Kourosh - In: International journal of logistics systems and … 39 (2021) 3, pp. 359-389

Persistent link: https://www.econbiz.de/10012599498

Solving a supply chain management problem to near optimality using Ant Colony optimization, in an international context

Nicolescu, Luminita; Galalac, Cristina; Voicu, Alexandru - In: Amfiteatru economic : an economic and business research … 15 (2013) 33, pp. 8-26

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Multi-objective analysis of an integrated supply chain scheduling problem

Cakici, Eray; Mason, Scott J.; Kurz, Mary E. - In: International journal of production research 50 (2012) 10, pp. 2624-2638

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A hybrid meta-heuristic for global optimisation using low-discrepancy sequences of points

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Development of Supply Chain Tools Using Genetic Algorithm and Comparison with Particle Swarm Optimization and Simulated Annealing Optimization Algorithms

Ahamed, S. Shakeel - 2013

Inventories, facilities and transportation are considered to be the important tools of supply chain management. The efficiency of any manufacturing unit can be increased if the above elements are under proper control. In today's scenario one of the significant fields in supply chain management...

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Hybrid Meta-Heuristics for Robust Scheduling

Surico, M. - 2013

computation, and problem-specific constructive heuristics. The optimization algorithm returns a set of solutions with different …

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A Pareto-based optimisation algorithm for a multi-objective integrated production-distribution planning problem of a multi-echelon supply chain network design

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Production and distribution scheduling optimisation in a three-stage integrated supply chain using genetic algorithm

Rasi, Reza Ehtesham; Jeihouni, Mahshid - In: International journal of business performance and … 11 (2020) 1, pp. 36-53

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A hybrid heuristic technique for optimal coordination in intermodal logistics scheduling

Chen, Cheng-Chieh; Schonfeld, Paul - In: International journal of shipping and transport … 9 (2017) 4, pp. 475-499

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Maximisation of total supply chain profit and minimisation of bullwhip effect in a multi-echelon supply chain network using particle swarm optimisation and genetic algorithm

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