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Springer Studies in Quantitative Decision Making - Asset Analytics

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Description

This edited volume from Springer provides an in-depth collation of quantitative decision making techniques applied to diverse practical areas. Featuring selected papers from the XXIII Annual International Conference of the Society of Operations Management, the book addresses complex challenges in modern logistics and management. Readers can explore applications across lean and green supply chains, reverse logistics, and perishable logistics. The content covers essential topics such as sustainable project management, retail management, and blockchain applications. By addressing issues in both theoretical and practical contexts, this work serves as a comprehensive resource for understanding demand and supply modelling, forecasting under uncertainties, and risk evaluation. It is a valuable asset for professionals and academics studying resource constraint logistics, scheduling, sequencing, and dynamic network supply chains.

Key Features

This Springer publication contains selected papers from the XXIII Annual International Conference of the Society of Operations Management.

The text explores quantitative decision making techniques used in lean and green supply chains and reverse logistics.

Content includes detailed studies on perishable logistics, closed loop supply chains, and sustainable project management.

The volume covers modern applications such as blockchain and optimal supplier selection problems.

Technical topics include demand and supply modelling, forecasting under uncertainties, and risk evaluation.

The book provides solutions for scheduling, sequencing, and resource constraint logistics in practical contexts.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
12 March 2023
Listed Since
21 February 2023

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