Skip to main content

EDI IN INDIA


1.    Directorate General of Foreign Trade (DGFT)- facilitate electronic submission and processing of licensing
2.    Apparel Export Promotion Council - facilitate electronic sharing of information between the community partners specially related to the quota management and clearances of shipping documents confirming to quota requirements.
3.    Port Trusts
4.    Airport Authority of India (AAI)- facilitate EDI based cargo handling system in its functioning by all the offices of AAI
5.    Container Corporation of India (CONCOR)- facilitate effective and efficient handling of container related documents between CONCOR and its community partners.
6.    Reserve Bank of India (RBI)- facilitate inter-bank and intra-bank transactions in electronic media as well as user interface for electronic clearances/payments
7.    Scheduled Banks
8.    Airlines- EDI based processing into the clearance of export and import consignment
9.    Indian Railways- automate their Freight movement system so that an integrated system of cargo movement can take place between all the community partners of Indian Railways.
10. CHA/Freight Forwarders
11. Export Promotion Organization
12. Customs- electronically fill shipping bill and bill of entry documents by the   agents to Customs along with electronic interface with the community partners for message exchange
13. Textile Export Promotion Council- facilitate electronic sharing of information between the community partners specially related to the quota management and clearances of shipping documents confirming to quota requirements.
14. Central Excise- functioning of Central Excise especially with respect to the documents facilitating clearances of export/import consignments.
15. Sea Ports- There are eleven Ports (Calcutta, Chennai, Cochin, Tuticorin, Mumbai, JNPT, Goa, New Mangalore, Vizag, Kandla and Paradip) to implement EDI based processing. These ports are Calcutta, Chennai, Cochin, Tuticorin, Mumbai and JNPT.
16. Domestic Trade Sector-To provide domestic trade, pilot EC/EDI projects for various industry sectors like automobile, health care .
17.EasyLink is an EDI services provider that offers a comprehensive set of fully outsourced EDI services that helps companies to take full advantage of their EDI investment.
18.National Informatics Centre (NIC) implements EDI in the Custom Houses through a software package. Indian Customs EDI System (ICES) is designed and developed in consultation with Central Board of Excise & Customs (CBEC). It comprises  two major sub systems namely,
                    ICES / I –  for processing Import Documents.
                    ICES / E – for processing Export Documents 


Comments

Popular posts from this blog

Advantages and Disadvantages of EIS Advantages of EIS Easy for upper-level executives to use, extensive computer experience is not required in operations Provides timely delivery of company summary information Information that is provided is better understood Filters data for management Improves to tracking information Offers efficiency to decision makers Disadvantages of EIS System dependent Limited functionality, by design Information overload for some managers Benefits hard to quantify High implementation costs System may become slow, large, and hard to manage Need good internal processes for data management May lead to less reliable and less secure data

Inter-Organizational Value Chain

The value chain of   a company is part of over all value chain. The over all competitive advantage of an organization is not just dependent on the quality and efficiency of the company and quality of products but also upon the that of its suppliers and wholesalers and retailers it may use. The analysis of overall supply chain is called the value system. Different parts of the value chain 1.  Supplier     2.  Firm       3.   Channel 4 .   Buyer

Big-M Method and Two-Phase Method

Big-M Method The Big-M method of handling instances with artificial  variables is the “commonsense approach”. Essentially, the notion is to make the artificial variables, through their coefficients in the objective function, so costly or unprofitable that any feasible solution to the real problem would be preferred, unless the original instance possessed no feasible solutions at all. But this means that we need to assign, in the objective function, coefficients to the artificial variables that are either very small (maximization problem) or very large (minimization problem); whatever this value,let us call it Big M . In fact, this notion is an old trick in optimization in general; we  simply associate a penalty value with variables that we do not want to be part of an ultimate solution(unless such an outcome is unavoidable). Indeed, the penalty is so costly that unless any of the  respective variables' inclusion is warranted algorithmically, such variables will never be p