Heuristic modeling for sustainable procurement and logistics in a supply chain using big data

DOI10.1016/j.cor.2017.05.008zbMath1391.90015OpenAlexW2613011363MaRDI QIDQ1651672

Harpreet Kaur, Surya Prakash Singh

Publication date: 12 July 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2017.05.008

zbMATH Keywords

heuristicbig dataMILP (mixed integer linear program)MILP (mixed integer non linear program)sustainable procurementsustainable transportation

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Mixed integer programming (90C11) Multi-objective and goal programming (90C29) Management decision making, including multiple objectives (90B50) Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30) Inventory, storage, reservoirs (90B05)

Related Items (6)

A robust-heuristic optimization approach to a green supply chain design with consideration of assorted vehicle types and carbon policies under uncertainty ⋮ Comparative simulation analysis of the performance of the logistics manufacturing system at the operative level ⋮ A sustainable economic production model: effects of quality and emissions tax from transportation ⋮ Winner determination with sustainable-flexible considerations under demand uncertainty in transportation service procurement auctions ⋮ Investment decision-making and coordination of a three-stage supply chain considering data company in the big data era ⋮ Pricing rules of green supply chain considering big data information inputs and cost-sharing model

Cites Work

• Information systems in supply chain integration and management
• Including sustainability criteria into inventory models
• A strategic sustainability justification methodology for organizational decisions: a reverse logistics illustration

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