Abstract: Embodiments of the present disclosure refer to an article collation system and method for collating articles where "article" may indicate an object, thing, item, unit, piece of merchandise, commodity, product, good or an entity synonymous with the definition provided. According to an embodiment of the present disclosure, an article collation system comprises at least one identifier associated with each article where one or more attributes are associated with each identifier. Further, the system comprises one or more transporters for moving each article along a common path to one of a plurality of collection points, where a plurality of diverters are associated with one or more said transporters for routing each article to said collection point, and a controller dynamically adapting operation of said transporters and said diverters to fulfill user requirements considering the attributes of each article and optimizing the system functions based on instantaneous load conditions.
ARTICLE COLLATION SYSTEM AND METHOD THEREOF
FIELD OF THE DISCLOSURE
The field of the present disclosure pertains to an article collation system and method thereof, and
particularly, collation involving combination and/or sortation of articles.
5 BACKGROUND
The proliferation of e-Retailing systems covering a very wide range of uniquely different orders involving
articles of several different sizes, shapes, weights, packaging and other characteristics such as special
handling requirements, coupled with the constant pressure for very quick deliveries, has generated the
need for highly flexible, automated/semi-automated "Combining" and "Shipping" systems (collectively
10 termed "Collation systems") at e-Retailing supplier warehouses. Additional complexities arise from
special "priority shipping" requirements associated with specific orders, which need to be processed
along with non-priority shipping orders, making the allocation of common items a difficult task. Existing
Collation Systems, while providing many of the desired features fail to provide adequate dynamic
configurability in a multi-level collation process that is necessary to meet these requirements.
15 The problems are aggravated by the complexities imposed by two additional factors namely, the
constraints imposed by "special" requirements for certain articles (such as special handling procedures),
coupled with the unpredictable and sudden "peak load" conditions that occur frequently. Existing
systems fall short in terms of efficiency and cost-effectiveness under such highly variable and
unpredictable conditions.
20 SUMMARY
Embodiments of the present disclosure refer to an article collation system and method for collating
articles where 'article' may indicate an object, thing, item, unit, piece of merchandise, commodity,
product, good or an entity synonymous with the definition provided. According to an embodiment of
the present disclosure, an article collation system comprises at least one identifier associated with each
25 article where one or more attributes are associated with each identifier. Further, the system comprises
one or more transporters for moving each article along a common path to one of a plurality of collection
points, where a plurality of diverters are associated with one or more said transporters for routing each
article to said collection point, and a controller dynamically adapting operation of said transporters and
Page 2 of 23
said diverters to fulfill user requirements considering the attributes of each article and optimizing the
system functions based on instantaneous load conditions.
Another embodiment of the present disclosure refers to a method for collating articles comprising
associating at least one identifier with each article, associating one or more attributes with each
5 identifier, moving each article along a common path to one of a plurality of collection points using one
or more transporters, routing each article to said collection point using a plurality of diverters associated
with one or more of said transporters and adapting dynamically operation of said transporters and said
diverters to fulfill user requirements considering the attributes of each article and optimizing the system
functions based on instantaneous load conditions.
10 According to exemplary embodiments of the present disclosure, collation system encompasses all
aspects of an article combination and/or sortation system. In the instance, the collation system operates
as a combination system, articles placed on the transporter are combined based on user requirements
and orders placed by respective users to provide a combined order. In such a scenario, the collection
points are specific to an order placed. The combined order is tagged in manner to identify delivery
15 details of the order, service provider details for handling the order(s) besides any specific order handling
procedure. In the instance, the system operates as a sortation system; orders are sorted at a single or
multi level for an organized and efficient delivery of said orders. In such a scenario, orders with tags are
diverted to collection points based on delivery details of said orders or service provider details.
According to an embodiment, orders are accumulated at each collection point in a bag, where each bag
20 has a unique seal tag placed upon sealing the bag. The collection point may indicate the need to seal a
bag via a Put To Light mechanism using a Pick Put to Light (PPTL), where each PPTL is identified by a
particular barcode. The PPTL blinks upon the need to seal a bag based on instances where the bag is full
with articles or the bag is required for delivery based on the special handling requirements. Upon
indication of the need to close t'he bag, the barcode of the PPTL and the seal tag of the bag are scanned
25 to generate a manifest indicating attributes of every article in the sealed bag. The manifest therefore,
indicates any special handling requirements of the sealed bag besides the categories of the articles
within the sealed bags.
According to an exemplary embodiment of the present disclosure, the step of adapting dynamically
operation of said transporters and said diverters comprises checking logs for load conditions and
30 extracting load parameters in a defined time interval at all collection points. Collection points where
load is above a threshold value are determined based on the extracted load parameters and the
determined collection points are reassigned to optimize load distribution and handling. In an
embodiment of the present application, load parameters may include peak load, mean load and in the
instance of operation of the collation system as a sortation system, the bag closing activity is also taken
into account.
5 In an embodiment of the present disclosure, identifiers may refer to a barcode or a tag identifying the
contents of a particular article. Further, the attributes associated with each identifier may provide
information regarding the length, breadth and height of the article. The attributes may also include
weight of the article, which may be identified based on load cells of an article.
According to an embodiment of the present disclosure, the transporter utilizes plurality of conveyor
10 belts to form a common path, where the common path may comprise a sensor at conjunction of two
conveyor belts to evaluate the article on the path. In an embodiment, the controller adjusts the spacing
of articles on the transporter to ensure sensing of the article by the sensor on the common path.
In another embodiment of the present disclosure, each collection point scans a diverted article to
ascertain accuracy of collation. If an article is not intended for the collection point, it blinks to relay the
15 incorrect collation.
BRIEF DESCRIPTION OF DRAWINGS
The detailed description is described with reference to the accompanying figures. In the figures, the leftmost
digit(s) of a reference number identifies the figure in which the reference number first appears.
The same numbers are used throughout the drawings to reference like features and components.
20 Figure 1 illustrates a block diagram representation of an article collation system according to an
embodiment of the present disclosure.
Figure 2 illustrates a flow diagram representation of a method for collating articles according to
an embodiment of the present disclosure.
Figure 3 illustrates a flow diagram representation of load balancing according to an embodiment
2 5 of the present disclosure.
Figure 4a illustrates a tabular representation of logs maintained by the server in an embodiment
of the present disclosure.
Page 4 of 23
Figure 4b illustrates a tabular representation of logs maintained by the server in an embodiment
of the present disclosure.
Figure 4c illustrates a tabular representation of logs maintained by the server in an embodiment
of the present disclosure.
5 Figure 4d illustrates a tabular representation of logs maintained by the server in an embodiment
of the present disclosure.
Figure 5 illustrates a flow diagram representation of Put to Light blinking action according to an
embodiment of the present disclosure.
Figure 6 illustrates a flow diagram representation of an article collation system according to an
10 exemplary embodiment of the present disclosure.
DETAILED DESCRIPTION
The following discussion provides a brief, general description of a suitable computing environment in
which various embodiments of the present disclosure can be implemented. The aspects and
embodiments are described in the general context of computer executable mechanisms such as
15 routines executed by a general purpose computer e.g. a server or personal computer. The embodiments
described herein can be practiced with other system configurations, including Internet appliances, hand
held devices, multi-processor systems, microprocessor based or programmable consumer electronics,
network PCs, mini computers, mainframe computers and the like. The embodiments can be embodied in
a special purpose computer or data processor that is specifically programmed configured or
20 constructed to perform one or more of the computer executable mechanisms explained in detail below.
Exemplary embodiments now will be described with reference to the accompanying drawings. The
disclosure may, however, be embodied in many different forms and should not be construed as limited
to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure
will be thorough and complete, and will fully convey its scope to those skilled in the art. The terminology
25 used in the detailed description of the particular exemplary embodiments illustrated in the
accompanying drawings is not intended to be limiting. In the drawings, like numbers refer to like
elements.
Page 5 of 23
The specification may refer to "an", "one" or "some" embodiment(s) in several locations. This does not
necessarily imply that each such reference is to the same embodiment(s), or that the feature only
applies to a single embodiment. Single features of different embodiments may also be combined to
provide other embodiments.
5 As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well,
unless expressly stated otherwise. It will be further understood that the terms "includes", "comprises",
"including" and/or "comprising" when used in this specification, specify the presence of stated features,
integers, steps, operations, elements, and/or components, but do not preclude the presence or addition
of one or more other features, integers, steps, operations, elements, components, and/or groups
10 thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to
another element, it can be directly connected or coupled to the other element or intervening elements
may be present. Furthermore, "connected" or "coupled" as used herein may include wirelessly
connected or coupled. As used herein, the term "and/oru includes any and all combinations and
arrangements of one or more of the associated listed items.
15 Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same
meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. It
will be further understood that terms, such as those defined in commonly used dictionaries, should be
interpreted as having a meaning that is consistent with their meaning in the context of the relevant art
and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
20 The figures depict a simplified structure only showing some elements and functional entities, all being
logical units whose implementation may differ from what is shown. The connections shown are logical
connections; the actual physical connections may be different. It is apparent to a person skilled in the art
that the structure may also comprise other functions and structures. It should be appreciated that the
functions, structures, elements and the protocols used in communication are irrelevant to the present
25 disclosure. Therefore, they need not be discussed in more detail here.
In addition, all logical units described and depicted in the figures include the software and/or hardware
components required for the unit to function. Further, each unit may comprise within itself one or more
components, which are implicitly understood. These components may be operatively coupled to each
other and be configured to communicate with each other to perform the function of the said unit.
Page 6 of 23
Figure 1 of the present disclosure illustrates a general block diagram of an article collation system
according to an embodiment of the present disclosure. Articles lola, 101b, 101c are input through the
input area on the system, which comprises one or more transporters 102a, 102b, 102c, 102d for moving
each article along a common path to one of a plurality of collection points 103a, 103b, 103c, 103d. The
5 transporters 102a, 102b, 102c, 102d may be a plurality of conveyor belts functioning at differential
speed. Each article has an associated identifier and each identifier has associated attributes. The system
further comprises a plurality of diverters 104a, 104b, 104c, 104d associated with one or more of the
transporters 102a, 102b, 102c, 102d for routing each article to said collection point. The system further
comprises a controller 105 to dynamically adapt operation of the transporters 102a, 102b, 102c, 102d
10 and the diverters 104a, 104b, 104c, 104d to fulfill user requirements considering the attributes of each
article and optimizing system functions based on load conditions. According to an embodiment of the
present disclosure, the identifier associated with the article 101a, 101b, 101c comprises a barcode or a
tag identifying the content of an article. Further, each identifier is associated with one or more
attributes such as length, breadth and height of the article. The attribute may further comprise weight
15 of the article, which may be ascertained by various mechanisms such as based on load cells.
The routing by the article collation system disclosed may be utilized at any level of combination or
sortation of articles. It may be utilized at a single level or at a multi-level, which adds to the adaptability
of the system disclosed. The diverters 104a, 104b, 104c, 104d are actuated only when the article on the
transporter 102c, 102d is meant for respective collections points 103a, 103b, 103c, 103d. Each collection
20 point 103a, 103b, 103c, 103d utilizes Put to Light mechanism to collate articles while using Pick Put to
Light (PPTL) in an embodiment. Each PPTL is unique and has an associated barcode.
The controller 105 is coupled to a server 106, which stores a database of logs of load conditions,
instantaneous and previous, for each diverter apart from a database for all orders and requirements by
users. The logs may comprise identification numbers of each diverter and their associated PPTLs with
25 their unique barcode. These logs are essential to the dynamic adaptation of operation of the system
100, which may be controlled even during its operation i.e. there is no requirement to shut the system
down to reconfigure the collation performed based on load conditions. The controller 105 extracts
information from the server 106 for the instantaneous load conditions as well as the previous load
conditions apart from PPTL activity. The logs are utilized, as illustrated in further figures, to optimize the
30 efficiency of the system.
Page 7 of 23
An embodiment of the system additionally comprises a sensor 107 at conjunction of two conveyor belts.
The sensor 107 may be a motion based sensor or an infra red sensor, to detect all articles placed on the
transporter 102a, 102b,102c,102d The controller 105 controls the first transporter 102a at a speed such
that each article is placed at a specific distance for effective detection by the sensor and an scanning
5 conducted. According to an embodiment of the disclosure, the system comprises a scanner 108
controlled by the controller 105, which ascertains the length, breadth and width of the article placed
and relays the information to the controller 105, which is further stored in the server 106. The scanner
108 is further configured to ascertain the weight of the article placed using volumetric measurement
systems (VMS) and this information too, is stored in the server 106.
10 Further, the collation system 100 encompasses all aspects of an article combination and/or sortation
system. In the instance, the collation system 100 operates as a combination system, articles lola, 101b,
101c placed on the transporters 102a, 102b, 102c, 102d are combined based on user requirements and
orders placed by respective users to provide a combined order. In such a scenario, the collection points
103af103b, 103c, 103d are specific to an order placed. The combined order is tagged in manner to
15 identify delivery details of the order, service provider details for handling the order(s) besides any
specific order handling procedure. In the instance, the system 100 operates as a sortation system;
orders are sorted at a single or multi level for an organized and efficient delivery of said orders. In such a
scenario, orders with tags are diverted to collection points based on delivery details of said orders or
service provider details.
20 According to an embodiment, orders are accumulated at each collection point in a bag, where each bag
has a unique seal tag placed upon sealing the bag. The collection point 103a, 103b, 103c, 103d may
indicate the need to seal a bag using PPTL. The PPTL blinks upon the need to seal a bag based on
instances where the bag is full with articles or the bag is required for delivery based on the special
handling requirements. Upon indication of the need to close the bag, the barcode of the PPTL and the
25 seal tag of the bag are scanned to generate a manifest indicating attributes of every article in the sealed
bag. The manifest therefore, indicates any special handling requirements of the sealed bag besides the
categories of the articles within the sealed bags.
Figure 2 illustrates a flow diagram representation of a method to collate articles according to an
embodiment of the present disclosure. The method comprises associating an identifier with each article
30 201 and one or more attributes are associated with each identifier 202. According to embodiments,
identifier comprises a barcode or a tag identifying the content of an article. Further, each identifier is
associated with one or more attributes such as length, breadth and height of the article. The attribute
may further comprise weight of the article, which may be ascertained by various mechanisms such as
based on load cells. Each article is moved along a common path 203 to one of a plurality of collection
points using one or more transporters. As disclosed in the illustration of Figure 1, conveyor belts may be
5 utilized as transporters, which function at differential speed. Further, each collection point comprises a
plurality of Pick Put to Light (PPTL), to enable further collation of articles. The collation implemented by
the method disclosed is utilized in the scenario of combination of orders or sortation of orders. The
method disclosed adapts dynamically the operation 205 of the transporters and the diverters to fulfill
requirements of each order while considering the attributes of each article and optimizing system
10 functions based on load conditions.
In an embodiment of the present disclosure, the method utilizes a load balancing mechanism for
dynamically adapting the operation illustrated in Figure 3. According to the embodiment, the controller
105 checks logs for load 302 at the server 106 to extract load parameters at defined time intervals 303.
Based on the extracted parameters, the controller 105 ascertains the collection points to be reassigned
15 304 and verifies if the bag has been sealed at the reassigned collection points 305. If the bags have been
sealed, the logs stored in a database at the server 106 are updated with the reassigned collection points
307, else the system waits 306 to check the log information at another time interval.
The embodiment is further illustrated vide Figures 4a, 4b, 4c and 4d. As referred to previously, the log of
figure 4a, shows each diverter associated with the number of PPTLs. The log refers to 'Armid', which is
20 the identity of the diverter along with its PPTL information in Start PPTL and End PPTL. Further, as
illustrated in description of Figure 1, each diverter may be associated with a service provider (DSP Name
and a DSP code) and a Hubcode apart from PPTLid. The log information under Figure 4b also refers to
the state of good i.e. whether the articles being collated refer to dangerous/non-dangerous goods or
articles meant for exchange. Each Hubcode is associated with a pincode, which is referenced within the
25 attributes of each article. The log containing the Hubcode may be updated by providing references to
the NewHubcode, OldHubcode and the pincode as illustrated in Figure 4c. The controller 105 then
ascertains the load conditions from the log, shown in figure 4d, stored in the server 106. As seen from
said figure, at a defined time interval, 20 packets are received at PPTL 10 of Armid 3 while 200 packets
are received at PPTL2 with Armid 5. The controller judges that there is an unproductive load distribution
30 as Armid 5 has higher load to address. Accordingly, the controller 105 dynamically adapts PPTLlO of
Armid 3 to exchange the load activity with PPTL2 of Armid 5. This exchange of load activity is done in
Page 9 of 23
real time and does not require shut down of the collation system. Therefore, as seen in Figure 4e,
PPTLlO of Armid 3 handles 200 packets while PPTL2 of Armid 5 handles 20 packets, and hence, the load
at diverters referenced Armid 3 and Armid 5 is balanced and optimized.
Figure 5 of the present disclosure illustrates the operation of PPTL according to an embodiment. As
5 illustrated previously, PPTL blinks to indicate the need to seal a bag, either when the bag is full or based
on the user direction. Figure 5 illustrates an embodiment, when the system 100 functions as a sortation
system with a fixed time delivery requirement. The embodiment addresses a scenario where a truck has
arrived to take articles for delivery. The embodiment calculates the current time 501 and ascertains if it
is equivalent to the scheduled time 502. If they are equal, the system 100 sends an interrupt 503 in
10 order to facilitate blinking of the PPTLs 504. However, if the current time calculated is not equivalent to
the scheduled time, the time taken to reach a destination is predicted based on real time traffic
condition 505. A number of known mechanisms may determine the real time traffic condition. If the
predicted time is under the specified time of delivery 506, an interrupt is sent 503 to blink the PPTLs
504. However, if the predicted time is not within the specified time, a delay of one minute 507 in the
15 calculation of current time 501 is given.
Figure 6 of the present disclosure provides an exemplary embodiment wherein the collation system 100
is utilized under three different scenarios. According to an embodiment, the articles are scanned 601
and based on the identifier and associated attributes, the id of a particular diverter is identified by the
controller 602 from the database stored in the server 106. The article moves on the common path and is
20 diverted to the allocated collection point 603. In the instance, the collation system 100 functions as a
sortation system, the diverted article is scanned again 604. If a PPTL workstation blinks (for example, it
blinks green) 605, the article is placed in the respective bag 606. If the PPTL workstation does not blink,
the article is scanned again at the first instance 601. During the operation of the system 100, it is
determined whether the bag is full 607 or the PPTL associated with said bag is blinking 608. If it is not so,
25 then the system waits or either situation to be fulfilled 609. However, if the bag is full or the PPTL is
blinking, a bag manifest comprising information of the articles collated is printed 610 and the bag is
sealed 611.
The collation system 100 is further used in In-house Logistic Company (ILC) Arms 612, where the article
is scanned 613 and if a particular collection point blinks 614, it is determined whether the article is
30 within the category of dangerous goods(DG) 615. If the article is classified as a DG, then it is forwarded
to respective ILC pigeonhole collection point 616. If the PPTL associated with the pigeonhole collection
Page 10 of 23
point blinks 617, a manual decision is made as to whether a new bag should be placed for items under
DG category 620. If the PPTL associated with the pigeonhole collection point does not blink, it is
determined whether the pigeonhole is full 618. If it is, step 620 is implemented, else the system waits till
PPTL blinks 619.
5 If a positive decision is taken for opening a new bag for items under category DG, then existing bag is
closed 621 and the packet is re-scanned 622 and given a separate packaging altogether 623 as it is a DG
classified article. However, if the decision is made not to open a new bag, the packet is rescanned 624
and forwarded to the respective ILC bag 625. In the event, it is ascertained that the article is classified as
a DG 615, it is sent to the respective ILC bag 625. The ILC bag is checked to see whether it is full 626 and
10 if it is, a bag manifest is printed 629 and the bag is sealed 630. However, if the bag is not full, it is
determined whether the PPTL is blinking 627. If it is, then the bag is sealed 630 after printing a manifest
629 to provide information of the articles collated. However, if the PPTL is not blinking, the system waits
till the bag is full or the PPTL blinks 628.
In another embodiment, the article is scanned 601, however, it is rejected 631. The rejected packet is
15 scanned again 632 to determine whether a collection point is indicated 633 for the article. If the
collection point is indicated, it is determined whether the identifier (barcode) on the article is damaged
634 and if it is, the damaged identifier (barcode) is sent for re-printing 640. It may be determined
whether there is a weight mismatch 635 or change in delivery details (address) 636 for the article and in
the event it is, the article is sent for a manual decision 639. In the event, it is determined that the article
20 pertains to a cancelled order 637, the article is returned to the processing area 639.
As will be appreciated by one of skill in the art, the present invention may be embodied as a method,
system, or computer program product. Accordingly, the present invention may take the form of an
entirely hardware embodiment, a software embodiment or an embodiment combining software and
hardware aspects all generally referred to herein as a "circuit" or "module." Furthermore, the present
25 invention may take the form of a computer program product on a computer-usable storage medium
having computer-usable program code embodied in the medium.
Furthermore, the present invention was described in part above with reference to flowchart illustrations
and/or block diagrams of methods, apparatus (systems), and computer program products according to
embodiments of the invention.
Page 11 of 23
It will be understood that each block of the flowchart illustrations and/or block diagrams, and
combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by
computer program instructions. These computer program instructions may be provided to a processor
of a general purpose computer, special purpose computer, or other programmable data processing
5 apparatus to produce a machine, such that the instructions, which execute via the processor of the
computer or other programmable data processing apparatus, create means for implementing the
functions/acts specified in the flowchart and/or block diagram block or blocks.
lnstructions may also be stored in a computer- readable memory that can direct a computer or other
programmable data processing apparatus to function in a particular manner, such that the instructions
10 stored in the computer-readable memory produce an article of manufacture including instruction means
which implement the functionlact specified in the flowchart and/or block diagram block or blocks.
lnstructions may also be loaded onto a computer or other programmable data processing apparatus like
a scannerlcheck scanner to cause a series of operational steps to be performed on the computer or
other programmable apparatus to produce a computer implemented process such that the instructions
15 which execute on the computer or other programmable apparatus provide steps for implementing the
functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and schematic diagrams of Figures 4-6 illustrate the architecture, functionality, and
operations of some embodiments of methods, systems, and computer program products for integrated
capture and analysis of documents. In this regard, each block may represent a module, segment, or
20 portion of code, which comprises one or more executable instructions for implementing the specified
logical function(s). It should also be noted that in other implementations, the function(s) noted in the
blocks may occur out of the order noted in the figures. For example, two blocks shown in succession
may, in fact, be executed substantially concurrently or the blocks may sometimes be executed in the
reverse order, depending on the functionality involved.
25 In the drawings and specification, there have been disclosed exemplary embodiments of the invention.
Although specific terms are employed, they are used in a generic and descriptive sense only and not for
purposes of limitation, the scope of the invention being defined by the following claims
Page 12 of 23
We Claim: -
1. An article collation system comprising:
a. a t least one identifier associated with each article;
b. one or more attributes associated with each identifier;
c. one or more transporters for moving each article along a common path to one of a
plurality of collection points;
d. a plurality of diverters associated with one or more of said transporters for routing each
article to said collection point; and
e. a controller dynamically adapting operation of said transporters and said diverters to
fulfill user requirements considering the attributes of each article and optimizing system
functions based on load conditions.
2. The system as claimed in claim 1 wherein the system comprises single level of multi level routing
of each article to said collection point.
15
3. The system as claimed in claim 1 wherein said one or more transporters comprise of plurality of
conveyor belts arranged to function at differential speed.
4. The system as claimed in claim 1 wherein said at least one identifier comprises a barcode
identifying content of an article.
5. The system as claimed in claim 1 wherein said one or more attributes comprises length, breadth,
height and weight of an article.
2 5 6. The system as claimed in claim 1 wherein said collection points comprise a plurality of Pick Put
to Light stations.
7. The system as claimed in claim 1 wherein said controller is coupled to a server storing logs for
instantaneous and previous load conditions at each diverter.
8. The system as claimed in claim 7 wherein said controller extracts load parameters from logs
stored in a server for a defined time interval.
Page 13 of 23
9. The system as claimed in claim 8 wherein load parameters are such as peak load and mean load.
10. The system as claimed in claim 7 wherein said controller reassigns the collection points based on
extracted parameters to dynamically adapt the operation of said transporters and diverters.
11. A method for collating articles comprising:
a. associating at least one identifier with each article;
b. associating one or more attributes with each identifier;
c. moving each article along a common path to one of a plurality of collection points using
one or more transporters;
d. routing each article to said collection point using a plurality of diverters associate with
one or more of said transporters;
e. adapting dynamically operation of said transporters and said diverters to fulfill
requirements of each order while considering the attributes of each article and
optimizing the system functions based on load conditions.
12. The method as claimed in claim 11 wherein the step of routing each article to said collection
point comprises a single level or multi level.
20
13. The method as claimed in claim 11 wherein said one or more transporters comprise of plurality
of conveyor belts arranged to function at differential speed.
14. The method as claimed in claim 11 wherein said at least one identifier comprises a barcode
2 5 identifying content of an article.
15. The method as claimed in claim 11 wherein said one or more attributes comprises length,
breadth, height and weight of an article.
30 16. The method as claimed in claim 11 wherein said collection points comprise a plurality of Pick Put
to Light stations.
Page 14 of 23
17. The method as claimed in claim 11 wherein adapting dynamically operation of said transporters
and said diverters comprises extracting load parameters from logs stored in a server for a
defined time interval.
5 18. The method as claimed in claim 17 wherein load parameters are such as peak load and mean
load.
19. The method as claimed in claim 11 wherein adapting dynamically operation of said transporters
and said diverters comprises reassigning the collection points based on extracted parameters.
| # | Name | Date |
|---|---|---|
| 1 | 3014-DEL-2014-Correspondence to notify the Controller [18-12-2023(online)].pdf | 2023-12-18 |
| 1 | Proof of Small Entity.pdf | 2014-10-28 |
| 2 | 3014-DEL-2014-PreGrant-ExtendedHearingNotice-(HearingDate-19-12-2023).pdf | 2023-11-20 |
| 2 | FORM-5.pdf | 2014-10-28 |
| 3 | FORM-3.pdf | 2014-10-28 |
| 3 | 3014-DEL-2014-Correspondence to notify the Controller [06-09-2023(online)].pdf | 2023-09-06 |
| 4 | FORM-28.pdf | 2014-10-28 |
| 4 | 3014-DEL-2014-PreGrant-HearingNotice-(HearingDate-27-09-2023).pdf | 2023-08-17 |
| 5 | 3014-DEL-2014-AMENDED DOCUMENTS [06-06-2023(online)].pdf | 2023-06-06 |
| 5 | 22793-01-SPECIFICATION.pdf | 2014-10-28 |
| 6 | MARKED UP CLAIMS.pdf ONLINE | 2015-03-03 |
| 6 | 3014-DEL-2014-FORM 13 [06-06-2023(online)].pdf | 2023-06-06 |
| 7 | FORM-13 (Claims).pdf ONLINE | 2015-03-03 |
| 7 | 3014-DEL-2014-POA [06-06-2023(online)].pdf | 2023-06-06 |
| 8 | CLEAN COPY.pdf ONLINE | 2015-03-03 |
| 8 | 3014-DEL-2014-RELEVANT DOCUMENTS [06-06-2023(online)].pdf | 2023-06-06 |
| 9 | 3014-DEL-2014-ABSTRACT [07-10-2019(online)].pdf | 2019-10-07 |
| 9 | MARKED UP CLAIMS.pdf | 2015-03-13 |
| 10 | 3014-DEL-2014-CLAIMS [07-10-2019(online)].pdf | 2019-10-07 |
| 10 | FORM-13 (Claims).pdf | 2015-03-13 |
| 11 | 3014-DEL-2014-FER_SER_REPLY [07-10-2019(online)].pdf | 2019-10-07 |
| 11 | CLEAN COPY.pdf | 2015-03-13 |
| 12 | 3014-DEL-2014-OTHERS [07-10-2019(online)].pdf | 2019-10-07 |
| 12 | Form-9(Online).pdf | 2015-03-30 |
| 13 | 3014-del-2014-Form-1-(22-04-2015).pdf | 2015-04-22 |
| 13 | 3014-DEL-2014-Response to office action (Mandatory) [07-10-2019(online)].pdf | 2019-10-07 |
| 14 | 3014-del-2014-Correspondence Others-(22-04-2015).pdf | 2015-04-22 |
| 14 | 3014-DEL-2014-FORM 4(ii) [06-09-2019(online)].pdf | 2019-09-06 |
| 15 | 3014-DEL-2014-FORM-26 [06-09-2019(online)].pdf | 2019-09-06 |
| 15 | 3014-del-2014-GPA-(20-05-2015).pdf | 2015-05-20 |
| 16 | 3014-DEL-2014-FER.pdf | 2019-03-07 |
| 16 | 3014-del-2014-Form-1-(20-05-2015).pdf | 2015-05-20 |
| 17 | 3014-DEL-2014-Correspondence-050318.pdf | 2018-03-09 |
| 17 | 3014-del-2014-Correspondence Others-(20-05-2015).pdf | 2015-05-20 |
| 18 | 3014-DEL-2014-OTHERS-050318.pdf | 2018-03-09 |
| 18 | 3014-DEL-2014-PRE GRANT OPPOSITION FORM [25-01-2018(online)].pdf | 2018-01-25 |
| 19 | 3014-DEL-2014-OTHERS [25-01-2018(online)].pdf | 2018-01-25 |
| 19 | 3014-DEL-2014-PRE GRANT OPPOSITION DOCUMENT [25-01-2018(online)].pdf | 2018-01-25 |
| 20 | 3014-DEL-2014-OTHERS [25-01-2018(online)].pdf | 2018-01-25 |
| 20 | 3014-DEL-2014-PRE GRANT OPPOSITION DOCUMENT [25-01-2018(online)].pdf | 2018-01-25 |
| 21 | 3014-DEL-2014-OTHERS-050318.pdf | 2018-03-09 |
| 21 | 3014-DEL-2014-PRE GRANT OPPOSITION FORM [25-01-2018(online)].pdf | 2018-01-25 |
| 22 | 3014-del-2014-Correspondence Others-(20-05-2015).pdf | 2015-05-20 |
| 22 | 3014-DEL-2014-Correspondence-050318.pdf | 2018-03-09 |
| 23 | 3014-DEL-2014-FER.pdf | 2019-03-07 |
| 23 | 3014-del-2014-Form-1-(20-05-2015).pdf | 2015-05-20 |
| 24 | 3014-del-2014-GPA-(20-05-2015).pdf | 2015-05-20 |
| 24 | 3014-DEL-2014-FORM-26 [06-09-2019(online)].pdf | 2019-09-06 |
| 25 | 3014-del-2014-Correspondence Others-(22-04-2015).pdf | 2015-04-22 |
| 25 | 3014-DEL-2014-FORM 4(ii) [06-09-2019(online)].pdf | 2019-09-06 |
| 26 | 3014-del-2014-Form-1-(22-04-2015).pdf | 2015-04-22 |
| 26 | 3014-DEL-2014-Response to office action (Mandatory) [07-10-2019(online)].pdf | 2019-10-07 |
| 27 | 3014-DEL-2014-OTHERS [07-10-2019(online)].pdf | 2019-10-07 |
| 27 | Form-9(Online).pdf | 2015-03-30 |
| 28 | 3014-DEL-2014-FER_SER_REPLY [07-10-2019(online)].pdf | 2019-10-07 |
| 28 | CLEAN COPY.pdf | 2015-03-13 |
| 29 | 3014-DEL-2014-CLAIMS [07-10-2019(online)].pdf | 2019-10-07 |
| 29 | FORM-13 (Claims).pdf | 2015-03-13 |
| 30 | 3014-DEL-2014-ABSTRACT [07-10-2019(online)].pdf | 2019-10-07 |
| 30 | MARKED UP CLAIMS.pdf | 2015-03-13 |
| 31 | CLEAN COPY.pdf ONLINE | 2015-03-03 |
| 31 | 3014-DEL-2014-RELEVANT DOCUMENTS [06-06-2023(online)].pdf | 2023-06-06 |
| 32 | FORM-13 (Claims).pdf ONLINE | 2015-03-03 |
| 32 | 3014-DEL-2014-POA [06-06-2023(online)].pdf | 2023-06-06 |
| 33 | MARKED UP CLAIMS.pdf ONLINE | 2015-03-03 |
| 33 | 3014-DEL-2014-FORM 13 [06-06-2023(online)].pdf | 2023-06-06 |
| 34 | 3014-DEL-2014-AMENDED DOCUMENTS [06-06-2023(online)].pdf | 2023-06-06 |
| 34 | 22793-01-SPECIFICATION.pdf | 2014-10-28 |
| 35 | FORM-28.pdf | 2014-10-28 |
| 35 | 3014-DEL-2014-PreGrant-HearingNotice-(HearingDate-27-09-2023).pdf | 2023-08-17 |
| 36 | FORM-3.pdf | 2014-10-28 |
| 36 | 3014-DEL-2014-Correspondence to notify the Controller [06-09-2023(online)].pdf | 2023-09-06 |
| 37 | 3014-DEL-2014-PreGrant-ExtendedHearingNotice-(HearingDate-19-12-2023).pdf | 2023-11-20 |
| 37 | FORM-5.pdf | 2014-10-28 |
| 38 | 3014-DEL-2014-Correspondence to notify the Controller [18-12-2023(online)].pdf | 2023-12-18 |
| 38 | Proof of Small Entity.pdf | 2014-10-28 |
| 1 | 3014del2014_16-01-2019.pdf |