Title :
Information sharing in supply chain: Modeling the enablers
Author :
Kant, R. ; Pujara, Akshay A. ; Singh, Moirangthem Dennis
Author_Institution :
Dept. of Mech. Eng., S.V. Nat. Inst. of Technol., Surat, India
Abstract :
Information sharing (IS) encompasses the sharing between downstream members of supply chain (SC) to share their demand information effectively and efficiently with upstream members of SC. The enablers which assist in the IS enablement of SC are known as information sharing enablers (ISEs). The main aim of this paper is to understand mutual influence of ISEs using interpretive structural modeling (ISM) and to identify driving ISEs (ISEs that support other ISEs) and dependent ISEs (ISEs that are most influenced by others ISEs). It has been observed that ISEs `top management commitment´ has high driving power and low dependency.
Keywords :
information management; statistical analysis; supply chain management; SC downstream members; SC upstream members; demand information; information sharing enablers; interpretive structural modeling; supply chain; top management commitment; Couplings; Mathematical model; Matrix converters; Strategic planning; Supply chain management; Supply chains; Enablers; ISE; SC; information sharing; interpretive structural modeling;
Conference_Titel :
Quality and Reliability (ICQR), 2011 IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4577-0626-4
DOI :
10.1109/ICQR.2011.6031592
