Optimisation of traceability and operations planning: an integrated model for perishable food production

DOI10.1080/00207540701725075zbMath1198.90044OpenAlexW2059553231WikidataQ57843614 ScholiaQ57843614MaRDI QIDQ3055443

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Publication date: 7 November 2010

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540701725075

zbMATH Keywords

risk assessmentoptimisation modellingoptimal batch sizeproduct recallperishable foodfood traceability

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Inventory, storage, reservoirs (90B05) Case-oriented studies in operations research (90B90)

Related Items (6)

Integrating deterioration and lifetime constraints in production and supply chain planning: a survey ⋮ A multi-step rolled forward chance-constrained model and a proactive dynamic approach for the wheat crop quality control problem ⋮ Analysis of traceability optimization and shareholder's profit for efficient supply chain operation under product recall crisis ⋮ A grey-fuzzy multiobjective model for supplier selection and production-distribution planning considering consumer safety ⋮ Integrated production and distribution planning in the fast moving consumer goods industry: A block planning application ⋮ A methodology for controlling dispersion in food production and distribution

Cites Work

• Solving planning and design problems in the process industry using mixed integer and global optimization
• A multi-period profit maximizing model for retail supply chain management: An integration of demand and supply-side mechanisms
• Optimal Dynamic Pricing for Perishable Assets with Nonhomogeneous Demand
• Economic manufacturing quantity in a just-in-time delivery system
• Optimal Ordering Policies for Perishable Inventory—II
• Dynamic allocation of uncertain supply for the perishable commodity supply chain
• EOQ MODEL FOR TIME-DEPENDENT DETERIORATION RATE WITH A TEMPORARY PRICE DISCOUNT
• Recent trends in modeling of deteriorating inventory

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