Select the best supply chain by risk analysis for Indian industries environment using MCDM approaches
| Autor: | Ravi Shankar, Tilak Raj, Aashish Agarwal, Mahesh Chand |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Supply chain risk management
Risk analysis 021103 operations research Supply chain management business.industry Strategy and Management Supply chain 05 social sciences 0211 other engineering and technologies 02 engineering and technology Multiple-criteria decision analysis Task (project management) Risk analysis (engineering) Manufacturing 0502 economics and business Business and International Management business 050203 business & management Risk management |
| Zdroj: | Benchmarking: An International Journal. 24:1400-1413 |
| ISSN: | 1463-5771 |
| DOI: | 10.1108/bij-09-2015-0090 |
| Popis: | Purpose Risk management in supply chain (SC) is not an easy task due to different uncertainty and intricacy. Management of risk is necessary for smooth operation of SC. The purpose of this paper is to demonstrate multi-criteria decision-making (MCDM) approaches to select the best SC which has minimum risks. Design/methodology/approach In proposed methodologies different steps, i.e. goal, risk attributes, risk sub-attributes and alternatives are identified for the selection of best SC using analytical network process which is being followed by the Multi-Objective Optimization by Rational Analysis method. Findings Findings of this paper are highly valuable for Indian manufacturing industries for risk management in SC. It helps the researchers and managers to deal with different types of uncertainty and risks associated with SC. Research limitations/implications This research is limited only for risk management in SC. Other issues in SC can be analyzed and further extended by other MCDM approaches. Originality/value This paper identified the different risks in SC and a systematic way to find out the best SC which helps the researchers and managers in risk mitigation. |
| Databáze: | OpenAIRE |
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