Sustainable procurement in supply chain operations / Sachin K. Mangla, Sunil Luthra, Suresh Kumar Jakhar, Anil Kumar and Nripendra P. Rana.
By: Mangla, Sachin K [editor.]
.
Contributor(s): Luthra, Sunil [editor.] | Kumar Jakhar, Suresh [editor.] | Kumar, Anil [editor.] | Rana, Nripendra P [editor.].
Material type: 
BookSeries: Mathematical engineering, manufacturing, and management sciences: Publisher: Boca Raton, FL : CRC Press, Taylor and Francis, [2020]Copyright date: ©2019Description: xxii, 489 pages : illustrations ; 24 cm.Content type: text Media type: computer Carrier type: online resourceISBN: 9780367779672 (paperback).Subject(s): Industrial procurement | Business logistics | Purchasing -- Purchasing & BuyingDDC classification: 658.72 SUS | Item type | Current library | Call number | Status | Notes | Barcode | |
|---|---|---|---|---|---|---|
| General lending | MTU Kerry North Campus Library First Floor Main | 658.72 SUS (Browse shelf(Opens below)) | Available | Kerry Module ORGS61002 Essential | 38888000965438 | |
| General lending | MTU Kerry North Campus Library First Floor Main | 658.72 SUS (Browse shelf(Opens below)) | Available | Kerry Module ORGS61002 Essential | 38888000965420 |
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Enhanced descriptions from Syndetics:
Sustainable Procurement is an emerging concept in supply chain and operations management. Manufacturing industries have made improvements in moving from cost-based to quality-based, and customer-focused supply chain management strategies. This is becoming an integrated component in the supply chain system, with players becoming aware of the regulations and needs of the customer. It is imperative for production firms to look at the procurement activity as one of the strategic enablers for sustaining the business in the competitive global environment. This book will provide industries with an understanding of the concepts related to sustainable procurement policies and its implementation.
Includes contributions in all three major analytics: descriptive, predictive, and perspectives in the context of sustainable procurement supply chain
Discusses new business models with suppliers and opportunities for co-branding
Covers how to develop new tools to measure and allocate the gains from sustainable practices among stakeholders
Analyses the science of translating data into meaningful and actionable insights
Includes bibliographical references and index.
Conceptual Framework in Sustainable Procurement: Sustainable Development Goals (SDGs) Focused Content Analysis Approach -- The Internet of Things-Enabled SMART Procurement: The Next Horizon -- Framework for Measuring the Procurement Performance in the Dairy Supply Chain -- Modeling the Sustainable Procurement Initiatives Using Fuzzy-Based MCDM Framework -- Green Procurement Research: A Review and Modeling Supplier Selection Problem Using GREY Method -- New Model for Sustainable Supplier Selection Using Fuzzy DEMATEL -- Supplier Selection for Protective Relays of Power Transmission Network with the Fuzzy Approach -- Multiple Objective Decision-Making Methods in Supplier Selection -- Assessing the Drivers to Gain Sustainable Competitive Advantage: An Interpretive Structural Modeling Approach -- Analyzing the Drivers of Sustainable Procurement Using the DEMATEL Approach -- Barriers on Sustainable Supply Chain Management Implementation for Turkish SME Suppliers: A Fuzzy Analytic Hierarchy Process Approach -- Integrating Sustainability into Humanitarian Procurement: A Prioritization of Barriers and Enablers -- Text Mining Applied to Literature on Sustainable Supply Chain (1996–2018): An Analysis Based on Scopus -- Multi-criteria Decision-Making Techniques to Address Sustainable Procurement in Supply Chain Operations -- The Investigation of Sustainable Procurement System Satisfying Turkey’s Energy Demand by Means of Multi-period Interval Parameter Integer Linear Programming (MP-IPILP) -- A Mixed-Integer
Sustainable Public Transportation Model of Procurement Purposes Surrounding a Construction Site -- A Sustainable Inventory Optimization Problem under Process Flexibility -- Sustainability of Advance Machine Learning Algorithms in Manufacturing.
MTU Kerry Module ORGS61002 - Essential reading.