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Über die komplexe Aufgabe, betriebliche Ressourcen zu steuern : der Governator als modellgestützte Lernumgebung

Schaffernicht, Martin F. G. - In: Modellbasiertes Management : Konferenz für …, (pp. 223-239). 2014

Persistent link: https://www.econbiz.de/10010346152

Fuldaer Supply Chain Management-Dialog : Trends und Herausforderungen im Supply Chain Controlling

Kohler, Irina - 2014

Persistent link: https://www.econbiz.de/10010427991

Using Bayesian networks to forecast spares demand from equipment failures in a changing service logistics context

Boutselis, Petros; McNaught, K. R. - In: International journal of production economics 209 (2019), pp. 325-333

Persistent link: https://www.econbiz.de/10012013370

Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management

Liu, Xiaotian; Hu, Ming; Peng, Yijie; Yang, Yaodong - 2022

We apply Multi-Agent Deep Reinforcement Learning (MADRL) to inventory management problems with multiple echelons and … constructed by single-agent deep reinforcement learning and other heuristic policies. Also, the application of HAPPO results in a … less significant bullwhip effect than policies constructed by single-agent deep reinforcement learning where information is …

Persistent link: https://www.econbiz.de/10014237002

Multiobjective mathematical model for selection of tactical suppliers integrating sustainability criteria and business volume discounts

Torres-Ruiz, Aineth - In: International journal of operations and quantitative … 22 (2016) 2, pp. 141-162

Persistent link: https://www.econbiz.de/10011542232

Modelling and optimization of defective goods supply chain network with heuristics

Srinivasan, Santhosh; Sharma, Abhinav Kumar; Khan, … - In: International journal of operations and quantitative … 22 (2016) 2, pp. 177-187

Persistent link: https://www.econbiz.de/10011542610

A lean optimization algorithm for water distribution network design optimization

De Corte, Annelies; Sörensen, Kenneth - 2015

Persistent link: https://www.econbiz.de/10011413375

Water distribution network design optimisation with respect to reliability

Janssens, Jochen; De Corte, Annelies; Sörensen, Kenneth - 2016

Persistent link: https://www.econbiz.de/10011507997

Quantifying the effects of additive manufacturing on supply networks by means of a facility location-allocation model

Barz, Andreas; Buer, Tobias; Haasis, Hans-Dietrich - 2015

Additive manufacturing (AM), or nonstandard 3D printing, disseminates in more and more production processes. This changes not only the production processes, e.g. subtractive production technologies are replaced, but will in all likelihood impact the configuration of supply networks. Due to a...

Persistent link: https://www.econbiz.de/10011522404

Background and mathematical formulation

Martins, C. L.; Melo, Teresa; Pato, Margarida Vaz - 2016

Motivated by the increasing global interest in reducing food waste, we address the problem of redesigning a multi-echelon supply chain network for the collection of donated food products and their distribution to non-profit organisations that provide food assistance to the needy population. For...

Persistent link: https://www.econbiz.de/10011523215

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