Predicting the success possibility of implementing information sharing in supply chain using consistent fuzzy preference relationship
| Autor: | Ravi Kant, Akshay A. Pujara |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Information management
Knowledge management Operations research Computer science Process (engineering) business.industry Information sharing Supply chain Condensed Matter::Disordered Systems and Neural Networks Fuzzy logic Preference Variable (computer science) Scale (social sciences) Condensed Matter::Statistical Mechanics business |
| Zdroj: | 2012 IEEE International Conference on Industrial Engineering and Engineering Management. |
| DOI: | 10.1109/ieem.2012.6837735 |
| Popis: | The aim of this paper is to identify the priority weights of Information sharing Enablers (ISEs) in Supply Chain (SC). These ISEs are selected form the literature reviews and expert discussion. Consistent Fuzzy Preference Relationship (CFPR) is used to prioritize these ISEs for supporting effective information sharing (IS) in SC. The pair wise comparisons of ISEs are established using a scale indicating the strength by which one ISEs dominates another with respect to higher-level ISEs. This scaling process is then translated into priority weights. The CFPR can give clear idea for prioritizing the variable which has significant effect on effective IS in SC. It has been found that ISE 1 (top management commitment) has highest priority weights. If ISEs with higher priority weights are properly controlled during implementation, effective IS is easy to attain. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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