Random misplacement and production process reliability: a sustainable industrial approach to deal with the discrepancy and deficiency

DOI10.3934/jimo.2022151OpenAlexW4293212484MaRDI QIDQ2691416

Neha Saxena, Biswajit Sarkar

Publication date: 29 March 2023

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2022151

zbMATH Keywords

reliabilitysupply chain managementremanufacturingstochastic misplacement

Mathematics Subject Classification ID

Mixed integer programming (90C11) Sensitivity, stability, parametric optimization (90C31) Management decision making, including multiple objectives (90B50) Transportation, logistics and supply chain management (90B06) Marketing, advertising (90B60)

Cites Work

• Reverse logistics and closed-loop supply chain: a comprehensive review to explore the future
• Supply planning models for a remanufacturer under just-in-time manufacturing environment with reverse logistics
• A fuzzy integrated inventory system with end of life treatment: a possibility in sports industry
• A review of mathematical inventory models for reverse logistics and the future of its modeling: an environmental perspective
• Misplaced inventory and lead-time in the supply chain: analysis of decision-making on RFID investment with service level
• An integrated inventory model with variable transportation cost, two-stage inspection, and defective items
• Economic ordering quantities for recoverable item inventory systems
• A green supply chain model of vendor and buyer for remanufacturing
• Effects and Causes of Discrepancies in Supply Operations

This page was built for publication: Random misplacement and production process reliability: a sustainable industrial approach to deal with the discrepancy and deficiency