A hybrid method for modeling and solving supply chain optimization problems with soft and logical constraints

DOI10.1155/2016/1532420zbMath1400.90036OpenAlexW2554819632WikidataQ57516475 ScholiaQ57516475MaRDI QIDQ1792697

Krzysztof Bzdyra, Jarosław Wikarek, Pawel Sitek

Publication date: 12 October 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/1532420

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06)

Related Items (1)

Capacitated vehicle routing problem with pick-up and alternative delivery (CVRPPAD): model and implementation using hybrid approach

Uses Software

• SCIP

Cites Work

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• A survey of constraint-based programming paradigms
• A theoretical evaluation of selected backtracking algorithms.
• Mathematical programming models for supply chain production and transport planning
• Algorithms for Hybrid MILP/CP Models for a Class of Optimization Problems
• Logic, Optimization, and Constraint Programming
• Semiring-based constraint satisfaction and optimization
• Constraint Integer Programming: A New Approach to Integrate CP and MIP
• Integrating operations research in constraint programming

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