Supply chain models for an assembly system with preprocessing of raw materials

DOI10.1016/j.ejor.2006.08.015zbMath1131.90307OpenAlexW2025355795MaRDI QIDQ877051

Mohammad Anwar Ashek Rahman, Bhaba R. Sarker

Publication date: 19 April 2007

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://digitalcommons.lsu.edu/cgi/viewcontent.cgi?article=4812&context=gradschool_theses

zbMATH Keywords

nonlinear integer programminginventory modelraw materials

Mathematics Subject Classification ID

Nonlinear programming (90C30) Production models (90B30) Inventory, storage, reservoirs (90B05)

Related Items (7)

Managing procurement and production outsourcing under dynamic prices ⋮ Optimizing multi-stage production for an assembly-type supply chain with unequal sized batch shipments ⋮ Optimal production plans and shipment schedules in a supply-chain system with multiple suppliers and multiple buyers ⋮ Acquisition and production management with two inventories under fluctuating prices and demand ⋮ A modified Pareto genetic algorithm for multi-objective build-to-order supply chain planning with product assembly ⋮ Coordination mechanism, risk sharing, and risk aversion in a five-level textile supply chain under demand and supply uncertainty ⋮ Supply chain models for an assembly system with preprocessing of raw materials: a simple and better algorithm

Cites Work

• Optimal batch size and raw material ordering policy for a production system with a fixed-interval, lumpy demand delivery system
• Analysis of a single-stage, single-product, stochastic, MRP-controlled assembly system
• A branch and bound algorithm for a production scheduling problem in an assembly system under due date constraints
• Optimal material control in an assembly system with component commonality
• A heuristic algorithm for a production planning problem in an assembly system
• Economic manufacturing quantity in a just-in-time delivery system
• Evaluation of performance measures for multi-part, single-product kanban controlled assembly systems with stochastic acquisition and production lead times
• 98%-Effective Lot-Sizing for Assembly Inventory Systems with Backlogging
• Just-in-time replenishment decisions for assembly manufacturing with investor-supplied finance

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