Description
Sustainable Procurement in Supply Chain Operations
Mathematical Engineering, Manufacturing, and Management Sciences Series
Coordinators: Mangla Sachin K., Luthra Sunil, Jakhar Suresh Kumar, Kumar Anil, Rana Nripendra P.
Language: EnglishSubjects for Sustainable Procurement in Supply Chain Operations:
Keywords
DEMATEL Method; DEMATEL Approach; Social Consciousness; Fuzzy TOPSIS; Social Responsibility; SME Supplier; Fuzzy Time Series; Sequence Dependent Setup Costs; Grey Theory; DEMATEL Technique; Multi-Criteria Decision Making; Fuzzy DEMATEL; Operations Research; Global Criterion Method; multi-criteria decision-making framework; SP; industry 4.0 revolution; Group AHP; sustainable procurement/sourcing applications; Fuzzy Analytic Hierarchy Process; sustainable supply chain operation; Fuzzy AHP Approach; Sustainable Supply Chain Management; Negative Ideal Solution; Ism Methodology; Literature Review; Supplier Selection Problem; Business Processes; Sustainable Supply Chain; Positive Ideal Solution; M5P Tree; Energy Source; Triangular Fuzzy Number; WEDM; Ism Method
Publication date: 03-2021
· 15.6x23.4 cm · Paperback
Publication date: 06-2019
· 15.6x23.4 cm · Hardback
Description
/li>Contents
/li>Readership
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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.
- Provides decision and theory development models in sustainable procurement supply chains
- 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
1. Conceptual Framework in Sustainable Procurement: Sustainable Development Goals (SDGs) Focused Content Analysis Approach. 2. The Internet of Things-Enabled SMART Procurement: The Next Horizon. 3. Framework for Measuring the Procurement Performance in the Dairy Supply Chain. 4. Modeling the Sustainable Procurement Initiatives Using Fuzzy-Based MCDM Framework. 5. Green Procurement Research: A Review and Modeling Supplier Selection Problem Using GREY Method 6. New Model for Sustainable Supplier Selection Using Fuzzy DEMATEL. 7. Supplier Selection for Protective Relays of Power Transmission Network with the Fuzzy Approach. 8. Multiple Objective Decision-Making Methods in Supplier Selection. 9. Assessing the Drivers to Gain Sustainable Competitive Advantage: An Interpretive Structural Modeling Approach. 10. Analyzing the Drivers of Sustainable Procurement Using the DEMATEL Approach. 11. Barriers on Sustainable Supply Chain Management Implementation for Turkish SME Suppliers: A Fuzzy Analytic Hierarchy Process Approach. 12. Integrating Sustainability into Humanitarian Procurement: A Prioritization of Barriers and Enablers. 13. Text Mining Applied to Literature on Sustainable Supply Chain (1996–2018): An Analysis Based on Scopus. 14. Multi-criteria Decision-Making Techniques to Address Sustainable Procurement in Supply Chain Operations. 15. The Investigation of Sustainable Procurement System Satisfying Turkey’s Energy Demand by Means of Multi-period Interval Parameter Integer Liner Programming (MP-IPILP). 16. A Mixed-Integer Sustainable Public Transportation Model of Procurement Purposes Surrounding a Construction Site 17. A Sustainable Inventory Optimization Problem under Process Flexibility 18. Sustainability of Advance Machine Learning Algorithms in Manufacturing.