Information Logistics (IL) deals with the flow of information entre human and / or actors Machine Within gold entre Any number of organisms That in turn form a network Creating value (see, eg  ). It is closely related to information management , information operations and information technology .
The term Information Logistics (IL) may be used in either of two ways:
- Firstly, it can be defined as “managing and controlling information handling processes optimally with respect to time (flow time and capacity), storage, distribution and presentation in , Searching, maintenance etc). ” (Reference is missing !!!) Thus IL uses logistic principles to optimize information handling.
- Secondly, IL can be seen as a concept using information technology to optimize logistics.
A term that is closely related to the first meaning of Information Logistics is Data Logistics  , a concept used in Computer Networking . “The study of data processing and data processing.” [Ref?] Systems that support general data logistics solutions so must span the traditionally separate fields of Networking, File / Database Systems and Process Management. Data logistics is a general-purpose logistical networking , used as a network storage architecture and software stack.  
The goal of Information Logistics is to provide the right product, consisting of the right information element, in the right format, at the right place at the right time for the right people at the right price and all of this is demandedcustomer driven. If this goal is to be achieved, knowledge workers are best equipped with information for the task at hand for improved interaction with their customers and machines.
Methods for achieving the goal are:
- The analysis of information demand
- Intelligent information storage
- The optimization of the flow of information
- Securing technical and organizational flexibility
- Integrated information and billing solutions 
The expression was formed by the Indian mathematician and librarian SR Ranganathan (Reference is missing !!!).
The logistics of logistics . The purpose of this discipline is described as follows:
Logistics is the teachings of the plans and the effective and efficient run of supply. The current logistics focuses on the organization, planning, control and implementation of the flow of goods, money , information and flow of people.
Information Logistics focusses on information . Information (from Latin informare “shape, shapes, instruct”) means clustering in a general sense Everything That adds knowledge and THUS Reduce ignorance or Lack of precision. In stricter sense information can only interpret it. Interpreting information will provide knowledge.
An Information Element (IE) is an information component that is located in the organizational value chain . The combination of certain leads to an information product (IP), which is a final product in the form of information that a person needs to have. When a higher number of different IEs are required, it often results in more planning problems in capacity and inherently leads to a non-delivery of the IP.
To illustrate the concept of an IP, an example is shown of a bottleneck analysis in HR (by J. Willems 2008). Here, the illustration shows how the information elements (eg qualifications) build up the information product (eg HR file).
Data Logistics is a concept that has been developed independently of the World Wide Web (WWW). Some motives for the emergence of interest in Data Logistics included:
- The incorporation of network hyperlinks into happy encoded in HTML Encouraged users to freely dereference Those links without regard to gold in Many boxes without Even HAVING Any knowledge of, the identity (much less the geographical or network topological rental of) the target Web server .
The growth in the volume of Web hits , combined with the steady increase in the size of Web-delivered objects such as images, audio and video clips resulted in the localized overloading of the bandwidth and processingresources of the local and / or wide area network And / or the Web server infrastructure. The resulting Internet bottleneck can cause web clients to experience poor performance or complete denial of access to servers that host high volume sites (the so-called Slashdot effect ).
- The growth in all Internet traffic, especially across international telecommunication links, resulted in stresses on infrastructure and high costs on networks that billed Internet traffic on a per-use basis.
- Much of this traffic was redundant, the results of repeated requests by many independent users to the same stored files and content.
- Large files and content retrieved from remote Web servers were often delayed due to high delays experienced over long and complex Internet paths.
These factors led to interest in the use of large scale storage (and to a lesser extent, processing) resources to cover the response to network requests, first at the Internet endpoint using a Web browser caching and later at intermediate network locations using shared network caches . This line of development also provides a Web server for replication and other techniques for offloading and distributing the work of delivering large-scale web services to widely dispersed client communities, ultimately resulting in the creation of modern content delivery networks .
Logistical Networking (LN). The Logistical Networking (LN). The name LN was intended as an analogy to physical supply chain logistics, in which goods are not only made available to the networks of roads, but are also located within the transportation infrastructure. This led to a nomenclature in which LN network storage resources are termed “storage depots”. The principles that underpin LN have been abstracted into the more general study of scheduling and optimization across the traditional infrastructure of Storage, Networking and Processing which was named Data Logistics.
Illustrative Examples of Data Logistics:
- Data Caching and Replication are examples of Data Logistics solutions to problems in Computer Systems and Networking with high data access latencies or data transfer resource limitations. It works mainly in the areas of data transfer and data storage.
- Dynamic Compression in data transfer is another example which uses computational resources to minimize the bandwidth requirements of data transfer.
- Data Warehousing , Information Lifecycle Management , Transformational Outsourcing
- Bachelor program “Informationlogistik” at HFT Stuttgart
- Fraunhofer competence center for information logistics
- Nyenrode Information Logistics Weblog
- Informatielogistiek.nl heeft als doel de online ontmoetingsplek te worden voor werknemers die inzichten, ervaringen en kennis zoeken of willen delen over informatielogistiek.
- Www.OPTINI.com (OPT-IN Desktop and Browser based alert software)
- Adansys (Information Logistics Specialist)
- “IL quadrants for information access technology” by Olthof and Willems 2008
- “Information Logistics Research Report: Framework in the healthcare industry” by Willems, Willems and Hajdasinski 2009
- “From Having to Use” by Willems 2008 Information Logistics Working Paper Nyenrode
- Jump up^ Hafter, D .; Kajtazi, M .: What is Information Logistics , 2009.
- Jump up^ Beck, M .; Moore, T .; Plank, J .; Swany, M.:”Logistical Networking “, Active Middleware Services, pp. 141-154. Springer US, 2000
- Jump up^ Plank, JS; Beck, M .; Elwasif, WR; Moore, T .; Swany Mr Wolski, R .:The Internet Backplane Protocol: Storage in the Network”http://loci.cs.utk.edu/dsi/netstore99/Network Storage Symposium], October 14 & 15, 1999, Seattle, Washington.
- Jump up^ Plank, JS; Bassi, A .; Beck, M .; Moore. T .; Swany, DM; Wolski, R .: “Managing Data Storage in the Network”, IEEE Internet Computing, Vol. 5, no. 5, pp. 50-58, Sept / Oct 2001,
- Jump up^ Uckelmann, D .:Quantifying the Value of RFID and the EPCglobal Architecture Framework in Logistics, Springer, Berlin 2012.