Supply chain models for an assembly system with preprocessing of raw materials: a simple and better algorithm

DOI10.1016/j.apm.2013.03.006zbMath1426.90011OpenAlexW1963729084MaRDI QIDQ1789477

J. David Porter, Leopoldo Eduardo Cárdenas-Barrón

Publication date: 10 October 2018

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2013.03.006

zbMATH Keywords

nonlinear integer programminginventoryheuristic algorithmsupply chainraw materials

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Inventory, storage, reservoirs (90B05)

Related Items (3)

A genetic algorithm for optimizing defective goods supply chain costs using JIT logistics and each-cycle lengths ⋮ Supply chain coordination with variable backorder, inspections, and discount policy for fixed lifetime products ⋮ An alternative fuzzy EOQ model with backlogging for selling price and promotional effort sensitive demand

Cites Work

• An assembly-type supply chain system controlled by kanbans under a just-in-time delivery policy
• Optimal models for a multi-stage supply chain system controlled by kanban under just-in-time philosophy
• Supply chain models for an assembly system with preprocessing of raw materials
• A single-stage supply chain system controlled by kanban under just-in-time philosophy

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