Description:FIELD OF THE INVENTION
[001] The present invention generally relates to a system and method for quality control in warehouses. More particularly, the present invention relates to real-time monitoring of quality control data in a warehouse management system.
BACKGROUND OF THE INVENTION
[002] Warehouse managers face various issues during storage of commodities such as high moisture, infestation, atta formation, rodent infestation etc. If these issues are not addressed in time, it may lead to deterioration of commodities thereby causing heavy financial losses. Real time quality control, therefore, becomes a necessity and an essential component of real-time warehouse data management.

[003] Moreover, the quality control in warehouses should be done in a manner which is in accordance with standard quality parameters to ensure that there are no gaps in the process which may lead to deterioration of commodities.
[004] In order to avoid such deterioration of commodities in warehouses and associated revenue losses, real time quality control is quintessential and thus exists an ever-rising demand for the same in warehouse industry.

[005] However, the existing practices used by warehouse industry to monitor quality are not systemised and automated, thus it leaves a lot of scope for errors which can lead to losses. Therefore, there exists a need for an improvised method for real-time monitoring of quality data in warehouse management system.
SUMMARY OF THE INVENTION
[006] The present disclosure, in accordance with several embodiments of the invention, provide a system and method for real time monitoring of quality data in a warehouse management system.

[007] In an embodiment, a method for real-time monitoring of quality control data in a warehouse management system is described. The method includes analysing a pre-defined set of inward commodities from amongst a plurality of inward commodities wherein said commodities are analysed for a plurality of primary characteristics. Such analysed primary characteristics data are stored in a primary repository on a central web server. Furthermore, the method includes conducting a plurality of checks on one or more stored commodities, wherein the stored commodities are analysed for a pre-defined set of secondary commodity characteristics, wherein the measured data is stored in the primary repository on the central web server. The commodity is further analysed by conducting a plurality of checks on a set of outward commodities wherein the plurality of commodities are analysed for a pre-defined set of tertiary characteristics, wherein the measured data is stored in the primary repository on the central web server. Such measured data generated from the plurality of checks on the set of inward commodities, storage commodities and outward commodities are synced from the primary repository to a pre-defined secondary repository, wherein the secondary repository is connected to the central web server.

[008] The method further includes computing at least one grade score card by compiling the measured data on the pre-defined secondary repository, wherein the grade score card is updated with the continuous access to the quality control data stored on the primary repository located on the central web server. Such continuous syncing of the measured data is fetched from a plurality of warehouse management subsystems through the means of a distributed computing network connected to the warehouse management system.

In another aspect, the present disclosure provides a distributed computing system for real-time monitoring of quality control datain a warehouse management system, wherein the system comprises atleast one portable means to manually enter one or more measured quality data, wherein the atleast one portable means is connected to a predefined primary repository located on a central web server. Furthermore, the system comprises of a predefined secondary repository to generate a grade score card wherein the stored data from the pre-defined primary repository is synced with the secondary repository based on the plurality of primary characteristics, secondary characteristics and tertiary characteristics and a continuation module, located on the primary repository, updates the measured quality control data to the secondary repository, wherein the measured quality control data includes at least one of the primary characteristics, at least one of the secondary characteristics and at least one of the tertiary characteristics. The warehouse management system includes a plurality of warehouse management subsystems located at a plurality of locations interconnected through the distributed computing network.
BRIEF DESCRIPTION OF THE DRAWINGS
[009] The invention has other advantages and features which will be more readily apparent from the following detailed description of the disclosure and the appended claims, when taken in conjunction with the accompanying drawings. Different numeral references on figures designate corresponding elements. The same numbers are used throughout the drawings to reference like features and components. The detailed description is described with reference to the accompanying figure(s).
[0010] FIG. 1 represents steps for quality control upon commodity inward by way of a flow diagram, according to various embodiments.
[0011] FIG.2A and FIG. 2B illustrates steps for quality control upon commodity storage.
[0012] FIG. 3 illustrates steps for quality control upon commodity outward.
[0013] FIG. 4 illustrates a general system for quality control data management in a warehouse management system.
DETAILED DESCRIPTION OF THE INVENTION
[0014] The present invention is an improvement of the invention “System and method for real time data management” as claimed in the complete specification filed in the India Patent Office vide application no. 3663/DEL/2013. System and method for real time data management” relates to a system and method for real time data management in a warehouse using portable hand held device. The method comprises data management upon commodity inward and commodity outward.
[0015] While the present invention has been disclosed with reference to certain embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the scope of the invention. In addition, many modifications may be made to adapt to a particular situation or material to the teachings of the invention without departing from its scope.
[0016] Throughout the specification and claims, the following terms take the meanings explicitly associated herein unless the context clearly dictates otherwise. The meaning of "a", "an", and "the" include plural references. The meaning of "in" includes "in" and "on." Referring to the drawings, like numbers indicate like parts throughout the views. Additionally, a reference to the singular includes a reference to the plural unless otherwise stated or inconsistent with the disclosure herein.
[0017] Before describing in detail embodiments it may be observed that the novelty and inventive step that are in accordance with the present invention reside in method of real time quality control in warehouse data management, the drawings showing only those specific details that are pertinent to understanding the embodiments of the present invention so as not to obscure with details that will be readily apparent to those of ordinary skill in art having benefit of description herein.
[0018] The present invention describes a system and method to perform real-time monitoring of quality data in a warehouse management system wherein the warehouse management system includes a plurality of warehouse management subsystems that includes quality data from all warehouses globally interconnected through a distributed computing network. The quality control data is manually entered by the means of a portable device wherein the quality control data is obtained after performing a plurality of checks based on a plurality of characteristics. Such quality data is measured and saved onto a predefined primary repository such as a MIS database located on a central web server. The measured quality data is then continuously synced to a predefined secondary repository including but not limited to SAP database, Microsoft database, Oracle database, IBM database, etc., wherein a grade score card is generated which incorporates the various reports from the various types of quality checks carried out.
[0019] When a commodity comes to a warehouse (WH), quality analysis data along with seal no. of the samples can be easily filled in customized formats in the portable means. Each seal is marked with a unique seal no. and due to this unique coding, it prevents tempering with the samples. This data is then synced automatically in SAP through middleware at the Head office (HO) and cannot be altered by warehouse after that. This process ensures real time reporting of quality data to head office, thereby facilitating timely actions, if required.
[0020] The complete process of WH operations is divided in to three major steps as given below: Inward, Storage, and Outward. At each stage of the process, certain quality checks have been implemented to ensure the proper monitoring and health of commodity during whole process. These checks are implemented in the form of Quality audits, Quality certificates and additional activities such as fumigation, etc.
[0021] During the inward process of quality check, quality analysis is performed and quality certificate is generated. During inward, a composite sample is taken from all the peripheral bags of that stock that is delivered to the warehouse. From this composite sample, two separate samples are prepared and sealed with unique seal Ids. One of these samples is analysed for a plurality of primary characteristics such as determined by standard guidelines (FSSAI, NCDEX, MCX, ACE, Banks or clients specifications). The instruments like portable moisture meter, pocket scale, poker, and beaker are provided at each WH for the relevant commodity. Other sample is stored for reference for future analysis.
[0022] During analysis, if the results are within the specified range of standard guidelines, they are communicated to HO laboratory by entering in customised android application uploaded in tablets. The information from this application is synced in SAP through middleware at HO based on which the grade score card containing analysis of commodity based on plurality of primary characteristics is generated.
[0023] After the allowance of inward commodity, as mentioned above, two samples are prepared during inward and sealed with unique IDS at WH. The seal no. of these samples and the quality analysis parameters like moisture and infestation are communicated to HO for record. The respective lot no. at each WH in which these stock is stored is also recorded. This record eliminates the possibility of any tempering with the samples at WH. Along with these parameters, the environment conditions like temperature and humidity are also recorded in the seal data for future reference.
[0024] FIG. 1 illustrates quality control process 100 upon commodity inward. The quality control process using data management system may be initiated by taking composite samples from the peripheral bags 102 after unloading of bags in the warehouse 101.The sample may be distributed in plurality of samples. In an example, two samples may be created out of the same sample. Further in step 103, the said sample may be analysed for plurality of primary characteristics determined by standard guidelines such as FSSAI, NCDEX, MCX, ACE or guidelines requested in client’s specification wherein the plurality of primary characteristics includes but not limited tomoisture content, infestation level, temperature, humidity, and weight. Said analysis may be done using instruments like portable moisture meter pocket scale, poker, beaker etc. which are provided at each warehouse for relevant commodity. The second sample is stored for future reference in step 104. In accordance with step 105 if said analysis is in compliance with plurality of primary characteristics, the data is entered into one portable means wherein the portable means is connected to a predefined primary repository located on a central web server. In an embodiment, the portable means may comprise a customised android application on a tab. The method further comprises collating the quality data real time along with unique seal numbers. All bags are assigned unique seal numbers which prevents tampering with samples. The method further comprises storing the measured data entered into portable means with a predefined primary repository and syncing the measured data generated from the plurality of checks on the set of inward commodities on a predefined secondary repository 107. Further in step 108, the grade score card is generated by compiling the measured data on the pre-defined secondary repository, wherein the grade score card is updated with the continuous access to the quality control data stored on the primary repository located on the central web server. Said grade score card is a record of quality evaluation done at the time of commodity inward and includes analysis of the commodity based on the primary characteristics. Simultaneously, if the quality analysis 103 is not in compliance with plurality of primary characteristics as shown in step 109, commodity is rejected and not allowed to be stored in the warehouse 110. Moreover, a grade score card is generated with a rejected stamp on it for future reference/record. However, if the client takes the responsibility of commodity heath during storage, a duly signed deviation letter or declaration letter is taken from the client prior to commodity storage. The method thereby is configured to select at least one of either storing or rejecting the commodity based on the measured data associated with the plurality of primary characteristics.
[0025] During the storage of commodity at WH, a weekly check of crop health is done for each lot. 5% of the bags in each lot are poked for taking sample and a composite sample is prepared from that. This samples is analysed for moisture, infestation, atta formation or any other damage or health issue possible in the commodity. This data is manually entered in portable means which is again synced in SAP through middleware at HO. Based on this information from all WH subsystems, a grade score card that includes crop report audit is generated and further corrective actions are initiated by respective departments to resolve observed issues.
[0026] Out of the total sealed samples stored at WH, 25% of these are selected randomly from each lot for cross-verification on fortnightly basis. The samples are analysed at laboratory for moisture and are compared with the data recorded in sample seal record. A moisture difference of 1% is acceptable considering different testing conditions at WH and laboratory.
[0027] FIG. 2Aand FIG 2B disclose quality control process upon commodity storage 200 wherein a plurality of checks are conducted on one or more stored commodities for a pre-defined set of secondary characteristics. The secondary characteristics includes but not limited to moisture content, infestation level and atta formation.FIG 2A illustrates step wise crop audit report in warehouse 201. In an aspect, at least 5% of the commodity bags from each and every lot are poked for samples and a composite sample from each lot is prepared on weekly basis 202. Further in step 203, samples are analysed for secondary characters in the commodity. Data from the analysis is entered by portable means which is connected to a predefined primary repository located on a central web server, which is synced with predefined secondary repositoryas shown in step 204. Finally, in step 205 information from all warehouses is collated as grade score card.
[0028] Figure 2B illustrates 25% audit report. In an aspect, out of total sealed samples stored in the warehouse, 25% samples are selected randomly by HO team from each lot 206. Further, in next step samples are analysed for various parameters every fortnight 207. Finally in step 208, the analysis is compared with analysis of samples maintained by warehouse management subsystem.
[0029] As mentioned in inward, two samples from each lot going out of the WH for commodity outward are prepared and sealed with unique IDS at WH. The seal no. of these samples and the quality analysis parameters like moisture and infestation are again communicated to HO for record. The respective lot no. at each WH from which these stock is dispatched is also recorded. Along with these parameters, the environment conditions like temperature and humidity are again recorded in the seal data for future reference. A traceability of difference between weight of commodity at the time of inward and at the time of outward in relation to moisture loss during storage is maintained by a formula that has been customized by the CFTRI. The loss in moisture leads to loss in total weight of the commodity. This correlation is calculated by the CFTRI formula which has been customised at the SAP database end.
[0030] Figure 3 illustrates quality control upon commodity outward 300. In step 302, samples of commodity are taken before commodity outward. Further in step 303, weight of the commodity is analysed at the time of outward. The difference in the weight of the commodity at the time of commodity inward and at the time of commodity outward in relation to moisture loss is maintained in accordance with a formula customized by CFTRI in the last step 304.

[0031] TABLE 1 provides the details of the plurality of primary characteristics, secondary characteristics and tertiary characteristics:

S. No. Product (s)/ Material of test Specific tests performed * Test Method / Standard against which tests
are performed
1a Pulses
(Peas , Rajma , Toor , Moong , Masoor , Chana Dal , Urad dal , Moth Dal, Kabuli chana, Chana whole, Lentils, Red gram, Chickpeas Brown),Chickpeas (Green),Split Bengal gram, Black-eyed beans / Cowpea ,Horse gram, Red lentils, Green gram / Mung bean, Turkish gram / Moth bean, Field beans, Black gram / Black lentil (whole) / White lentil (dehusked) Moisture
IS 4333(P-2)-2002; Reaffirmed; 2012
Foreign Matter IS 4333(P-1)-1996; Reaffirmed; 2012
Foreign Matter (Inorganic) IS 4333(P-1)-1996; Reaffirmed; 2012
Foreign Matter (Organic) IS 4333(P-1)-1996; Reaffirmed; 2012
Other Edible Grains IS 4333(P-1)-1996; Reaffirmed; 2012
Damaged Grains IS 4333(P-1)-1996; Reaffirmed; 2012
Weevilled grains IS 4333(P-1)-1996; Reaffirmed; 2012
Added coloring matter IS 4333(P-1)-1996; Reaffirmed; 2012
Added powder material IS 4333(P-1)-1996; Reaffirmed; 2012
Insect damaged IS 4333(P-1)-1996; Reaffirmed; 2012
presence of Kesari dal IS 4333(P-1)-1996; Reaffirmed; 2012
Slightly damaged & touched Grains IS 4333(P-1)-1996; Reaffirmed; 2012
Immature &shriveled grains IS 4333(P-1)-1996; Reaffirmed; 2012
Rodent hair & Excreta Clause 1.5 of FSSAI lab manual for cereal & cereal product ; 2016
Broken IS 4333(P-1)-1996; Reaffirmed; 2012
Fragments IS 4333(P-1)-1996; Reaffirmed; 2012
Green grains IS 4333(P-1)-1996; Reaffirmed; 2012
Whole grains IS 4333(P-1)-1996; Reaffirmed; 2012
Admixture of other color seeds IS 4333(P-1)-1996; Reaffirmed; 2012
Caked IS 4333(P-1)-1996; Reaffirmed; 2012
Splits Fruits IS 4333(P-1)-1996; Reaffirmed; 2012
Uric Acid IS 4333(P-V)-1970; Reaffirmed: 2010; Clause 1.1 of FSSAI lab manual for cereal.
1000 Kernel weight IS 4333(P-4)-2002 ; Reaffirmed; 2012
1b Cereals
(Wheat, Maize, Barley, Paddy, jwar, bazra, rice) Moisture IS 4333(P-2)-1996; Reaffirmed; 2012
Foreign matter IS 4333(P-1)-1996; Reaffirmed; 2012
Foreign Matter (Inorganic) IS 4333(P-1)-1996; Reaffirmed; 2012
Foreign Matter (Organic) IS 4333(P-1)-1996; Reaffirmed; 2012
Other Edible Grains IS 4333(P-1)-1996; Reaffirmed; 2012
Slightly damaged IS 4333(P-1)-1996; Reaffirmed; 2012
Damaged IS 4333(P-1)-1996; Reaffirmed; 2012
Weevilled grains IS 4333(P-1)-1996; Reaffirmed; 2012
Uric Acid IS 4333(P-V)-1970; Reaffirmed: 2010 ; Clause 1.1 of FSSAI lab manual for cereal
Broken IS 4333(P-1)-1996; Reaffirmed; 2012
Rodent hair & Excreta Clause 1.5 of FSSAI lab manual for cereal & cereal product ; 2016
Live Insect IS 4333(P-1)-1996; Reaffirmed; 2012
Added coloring matter IS 4333(P-1)-1996; Reaffirmed; 2012
Immature/Shrivelled grains, IS 4333(P-1)-1996; Reaffirmed; 2012
Filth IS 4333(P-1)-1996; Reaffirmed; 2012
Hectolitre weight in wheat IS 4333(P-3)-2002; Reaffirmed; 2012
1000 Kernel Weight IS 4333(P-4)-2002 ; Reaffirmed; 2012
Rice Paddy in rice IS 4333(P-1)-1996; Reaffirmed; 2012
Length
IS 4333(P-1)-1996; Reaffirmed; 2012

Breath
IS 4333(P-1)-1996; Reaffirmed; 2012

LC/BC Ration
IS 4333(P-1)-1996; Reaffirmed; 2012

Whiteness of rice
SLCM_CHEM_SOP_52/ Issue 01/15.03.2017
1c Cereal Products

(Maida , Suji or Rawa, Upma, Wheat, Atta, Macroni , Multigrain, Atta, Cornflakes, fortified atta, protein rich (paushtik) atta, besan, protein rich (paushtik) maida, wholemeal barley powder or barley flour or choker yukt jau ka churan). Moisture IS: 1155;1968, Reaffirmed -2010 IS:1009;1979; Reaffirmed -2010; Clause 8.1 of FSSAI lab manual for cereal & cereal product ; 2016
Total ash IS: 1009; 1979; Reaffirmed 2010; Clause 8.2 of FSSAI lab manual for cereal & cereal product.
Acid insoluble ash IS:1009;1979;Reaffirmed ; 2010 Clause 8.3 of FSSAI lab manual for cereal & cereal product ; 2016
Alcoholic acidity IS:1009;1979;Reaffirmed ; 2010 ; Clause 8.5 of FSSAI lab manual for cereal & cereal product ; 2016
Dry gluten IS:1009;1979;Reaffirmed ; 2010 ; Clause 8.4 of FSSAI lab manual for cereal & cereal product ; 2016
Wet gluten IS:1009;1979; Reaffirmed ; 2010 ; Clause 8.4 of FSSAI lab manual for cereal & cereal product ; 2016
Rodent hair and excreta Clause 1.5 of FSSAI lab manual for cereal & cereal product ; 2016
Crude fibre IS:1155 ;1968; Reaffirmed 2010 Clause 8.8 of FSSAI lab manual for cereal & cereal product; 2016
Uric acid IS 4333(P-V)-1970; Reaffirmed: 2010 ; Clause 1.1 of FSSAI lab manual for cereal & c
2 Spices and condiments
2a Cardamom, Large Cardamom, Chillis ,Cinnamon whole, Cassia(Taj), Cloves, Coriander whole, Cumin whole, Mace whole, Mustard , Nutmeg , Black pepper , Poppy ,Saffron,Turmeric, Aniseed, Caraway (Siahjira), Caraway black (Siahjira), Ajwain, Large cardamom seeds, Garlic, celery, Asafoetida, Dehydrated onion,Cumin black , Fennel, Fenugreek whole, Ginger Extraneous matter Clause 2.0 of FSSAI lab manual for Analysis of Spices & Condiments 2016, IS :13446 : 2009, IS 1797 :1985
Insect damaged matter Clause 24.0 of FSSAI lab manual for Analysis of Spices & Condiments 2016, IS 13446 : 2009
Large cardamom Empty and malformed capsules by count IS :13446 : 2009
Immature & shriveled capsules IS :13446 : 2009
Light seeds/Brown/Red seeds IS :13446 : 2009
Chilies
Unripe fruits
IS :2322 : 2010

Marked fruits
IS :2322 : 2010

Broken fruit seeds IS :2322 : 2010
Fragments
IS :2322 : 2010

Cloves Tendrils
IS : 4404 : 2010, IS 1797 :1985 Reaffirmed 2013

Khokar IS : 4404 : 2010

Headless
IS : 4404 : 2010

Coriander
Splits Fruits IS 2443 :2008

Shrivelled & immature
IS 2443 :2008

Cumin (safed jeera) Broken fruits ( Damaged, Shrivelled, Discolored and Immature seed) IS :2447 : 2010
Proportion of other edible seeds IS :2447 : 2010, IS 1797 :1985 Reaffirmed 2013
Black pepper Light berries
IS : 1798 :2010
pinheads or broken berries
IS : 1798 :2010
2b Coriander , Turmeric, Black paper , Red Chilli, Dried Mango, caraway, Cardamom, Cinnamon, cassia, Cumin, Cumin black, saunf, Fenugreek, Ginger, Mace, mustard , Nutmeg , Curry, mixed spices Moisture

IS:1797;1985;Reaffirmed 2013 ; Clause 3.0 of FSSAI lab manual for Analysis of Spices & Condiments

Total Ash
IS:1797;1985;Reaffirmed 2013 ; Clause 3.0 of FSSAI lab manual for Analysis of Spices & Condiments
Acid Insoluble Ash
IS:1797;1985; Reaffirmed 2013 ; Clause 5.0 of FSSAI lab manual for Analysis of Spices & Condiments

Volatile Oil
IS:1797;1985; Reaffirmed 2013 ; Clause 10.0 of FSSAI lab manual for Analysis of Spices & Condiments 2016

Crude Fibre
IS:1797;1985; Reaffirmed 2013 ; Clause 11.0 of FSSAI lab manual for Analysis of Spices & Condiments
Poppy seeds, Curry powder, Red chilli powder, Mace, Garam Masala, Black pepper, Cumin, Mustard
Non Volatile Ether Extract
IS:1797;1985; Reaffirmed 2013 ; Clause 9.0 of FSSAI lab manual for Analysis of Spices & Condiments
Chillies, Coriander Fineness IS :2322 : 2010, IS 2443:2008
Ginger
Alcohol soluble extract in ginger
Clause 7.0 of FSSAI lab manual for Analysis of Spices & Condiments
Ginger and Fenugreek powder Cold water soluble extract
IS :2323 :2011; Clause 16.5 of FSSAI lab manual for Analysis of Spices & Condiments
Ginger and nutmeg Water Insoluble ash IS:1797;1985;Reaffirmed 2013 ;
Dried Mango Powder Acidity IS :13242 :1991 Reaffirmed 2012
Turmeric Powder Curcumin Content
IS : 10925;1984; Reaffirmed 2012 ;Clause 16.5 of FSSAI lab manual for Analysis of Spices & Condiments ; 2016

Test for lead chromate
IS:3576:2010 Clause 16.6 of FSSAI lab manual for Analysis of Spices & Condiments

Starch in turmeric
IS:4706; Part-2 ;1978; Reaffirmed 2010 ; Clause 16.5 of FSSAI lab manual for Analysis of Spices & Condiments
3 Dairy products
3a Milk/ Curd/Lassi/ Condensed Milk, Flavored milk
Total milk solids & Total solids IS :11622: 1986 Reaffirmed - 2013
Titratable acidity as lactic acid IS:11766:1986;Reaffirmed 2012
Total fat IS:1479(Part-II): 1961 : Reaffirmed -2013
Total ash IS:1479(Part-II): 1961 : Reaffirmed -2013
Total sugar IS:1479(Part-II): 1961 : Reaffirmed -2013
Reducing sugar IS:1479(Part-II): 1961 : Reaffirmed -2013
Lactose IS:1479(Part-II): 1961 : Reaffirmed -2013
Sucrose IS 4079: 1967 : Reaffirmed -2011
Protein IS 7219;1973;Reaffirmed 2010 ; Clause 14.3 of FSSAI lab manual for Analysis of Milk & Milk product
Solid Non Fat IS:1479(Part-II): 1961 : Reaffirmed -2013
Adulterants as Starch, Cane sugar, urea, salt IS 1479(Part I)-1960, Reaffirmed -2012, DGHS Manual (Milk & Milk Products)
Crude protein IS:1479(Part-II): 1961 : Reaffirmed -2013
Preservatives/neutralizers IS 1479(Part I)-1960, Reaffirmed -2012,
Chloride IS:1479(Part-II): 1961 : Reaffirmed -2013 ;Clause 1.2.8 of FSSAI lab manual for Analysis of Milk & Milk product -2016
Total Nitrogen IS:1479(Part-II): 1961 : Reaffirmed -2013
3b Milk powder, Skimmed Milk powder, Full cream milk powder, Infant milk powder. Moisture IS:11623:2008; Reaffirmed-2013
Fat IS:1479; P-1;1960; Reaffirmed 2012; Clause 10.3 of FSSAI lab manual for Analysis of Milk & Milk product -2016
Sucrose IS 4079: 1967 : Reaffirmed -2011
Lactose IS:1479; P-1; 1960; Reaffirmed 2012
Reducing sugar IS:1479; P-1;1960; Reaffirmed 2012
Total sugar IS:1479;P-1;1960; Reaffirmed 2012; Clause 10.3 of FSSAI lab manual for Analysis of Milk & Milk product -2016
Total Solid IS:12333;1997 , Reaffirmed-2012; Clause 9.2 of FSSAI lab manual for Analysis of Milk & Milk product -2016
Protein IS 7219;1973; Reaffirmed 2010 ; Clause 14.3 of FSSAI lab manual for Analysis of Milk & Milk product -2016
Titrable Acidity IS:1166;1986, Reaffirmed 2013 ; Clause 14.3 of FSSAI lab manual for Analysis of Milk & Milk product -2016
4 Oil and seeds
Mustard oil, Olive oil , Ghee, Butter, castor oil, Rice bran oil, flaxseed oil, other edible oils (refined oils) Moisture IS:548;P1,1964;Reaffirmed 2015; Clause 3.0 of FSSAI lab manual for Analysis of oils & fats products -2016
Free fatty acid IS:548;P1,1964;Reaffirmed 2015; Clause 11.0 of FSSAI lab manual for Analysis of oils & fats products -2016
Iodine value IS:548;P1,1964;Reaffirmed 2015; Clause 12.0 of FSSAI lab manual for Analysis of oils & fats products -2016
Saponification Value
IS:548;P1,1964;Reaffirmed 2015; Clause 9.0 of FSSAI lab manual for Analysis of oils & fats products -2016
Un - Saponifiable matter
IS:548;P1,1964;Reaffirmed 2015; Clause 10.0 of FSSAI lab manual for Analysis of oils & fats products -2016
BR Value IS:548;P1,1964;Reaffirmed 2015; Clause 5.0 of FSSAI lab manual for Analysis of oils & fats products -2016
RM Value IS:548;P1,1964;Reaffirmed 2015; Clause 13.0 of FSSAI lab manual for Analysis of oils & fats products -2016
Baudouins Test
IS:548;P1,1964;Reaffirmed 2015; Clause 15.0 of FSSAI lab manual for Analysis of oils & fats products -2016
Peroxide value
IS:548;P1,1964;Reaffirmed 2015; Clause 38.1 of FSSAI lab manual for Analysis of oils & fats products -2016
Rancidity
Clause 38.0 of FSSAI lab manual for Analysis of oils & fats products -2016
Biller Turbidity Test
IS: 548; P-II, 1976; Reaffirmed 2010; Clause 14.0 of FSSAI lab manual for Analysis of oils & fats products -2016.
Allylisothyocyanate IS:548; P1, 1964; Reaffirmed 2015
Caster seed , Ground Nut Seed , Mustard seed, rape seed, poppy seeds, flaxseeds Moisture IS:3579-1966; Reaffirmed 2015
Oil Content IS: 3579- 1966 ; Reaffirmed 2015
Rancidity Clause 38.0 of FSSAI lab manual for Analysis of oils & fats products -2016.
Acid Value of the extracted oil IS:3579;1966;Reaffirmed 2015
Damage & Weevilled IS :3579 -1966 ; Reaffirmed -2015
Shrivelled & immature IS :3579 -1966 ; Reaffirmed -2015
Splits kernels IS :3579 -1966 ; Reaffirmed -2015
Broken kernels IS :3579 -1966 ; Reaffirmed -2015
Nooks IS :3579 -1966 ; Reaffirmed -2015
Impurities IS :3579 -1966 ; Reaffirmed -2015
Kernel IS :3579 -1966 ; Reaffirmed -2015
Pod or Capsule IS :3579 -1966 ; Reaffirmed -2015
5 Sugar and sugar products
Sugar (Raw sugar) Moisture IS:15279: 2003 Reaffirmed-2013
Sulphur dioxide IS:15279: 2003 Reaffirmed-2013
Extraneous matter FSSAI manual Part-4
ICUMSA GS9/1/2/3-8(2005)
Added color FSSAI manual Part-4
Grade IS:498-2003, Reaffirmed-2013
Grain size ( percent retained) IS:498-2003, Reaffirmed-2013
Polarisation SLCM_CHEM_SOP_51/ Iss 01/10.01.2017
6 Tea and Tea products
Tea Total Ash
IS 13854:1994 ;Reaffirmed 2014, ISO 1575

Acid Insoluble Ash
IS 13857: 1993 Reaffirmed 2014, ISO 1577

Water soluble ash
IS 13855: 1993 Reaffirmed 2014, ISO 1576

Alkalinity of Soluble ash
IS 13856: 1993 Reaffirmed 2014, ISO 1578

Crude Fibre
IS 10226 (Part-I), 1982; Reaffirmed 2015

Water Soluble extract
IS 13862: 1999; Reaffirmed 2014, ISO 9768
7 Animal feed

Cotton Oil cake, Pedgree feed, Mustard oil cake, Rice Bran cake Moisture
IS:7874 : 1975 : part -1 ; Reaffirmed 2014 ; IS: 2052:2009

Total Ash
IS:7874 : 1975 : part -1 ; Reaffirmed 2014 ; IS:2052: 2009

Acid Insoluble Ash
IS:7874 : 1975 : part -1 ; Reaffirmed 2014 ; IS: 2052:2009

Crude Protein
IS:7874 : 1975 : part -1 ; Reaffirmed 2014 ; IS: 2052:2009

Crude Fat
IS:7874 : 1975 : part -1 ; Reaffirmed 2014 ; IS: 2052:2009

Crude Fibre
IS:7874 : 1975 : part -1 ; Reaffirmed 2014 ; IS: 2052:2009

Phosphorus
AOAC ;965.17 ; IS:7874 : 1975 : part -2 ; Reaffirmed 2009
8 Essential oils
8.1 Mentha Oil Specific Gravity IS 528 :1999 , Reaffirmed - 2006 IS 326
Refractive Index IS 528 :1999, Reaffirmed - 2006 IS 326 :1980 Part – 5 , Reaffirmed 2006
Solubility in 70 % ethanol IS 326 :1980 Part – 6, Reaffirmed -2015
Freezing Point IS:326 Part -18, Reaffirmed 2008
Terpene SLCM_LI_02 / Iss.01 / 03.10.2016 / IS 528 :1999 Part – 2; Reaffirmed -2006
(Annexure - A)
Menthyl Acetate IS 326 :1980 Part – 8 , Reaffirmed 2015/ SLCM_LI_02 / Iss.01 / 03.10.2016
L-Menthol IS 528 :1999 Part – 2; Reaffirmed -2006 ( Annexure - A) / SLCM_LI_02/ Iss.01 / 03.10.2016
Petroleum & Mineral Oils IS 32990/6 :1984 Part-15 , Reaffirmed 2010
Water IS 326 :1980 Part-2 , Reaffirmed -2015
Solid Sediments IS 326 :1980 Part – 2 , Reaffirmed -2015
D-Menthol SLCM_LI_01 / Iss.01 / 03.10.2016/Coleman III et al., J Chromtr Sci, 318-321, Vol.36: 1998
Menthone SLCM_LI_02/ Iss.01 / 03.10.2016 / IS 528 :1999 Part – 2; RA -2006 (Annexure - A)
Iso- Menthone SLCM_LI_02/ Iss.01 / 03.10.2016/ IS 528 :1999 Part – 2; Reaffirmed -2006 (Annexure - A)
Neo – Menthol SLCM_LI_02/ Iss.01 / 03.10.2016/ IS 528 : 1999 Part – 2; Reaffirmed -2006 (Annexure - A)
Optical rotation IS 326 : 2005 Part – 4 , Reaffirmed -2015
D –menthone SLCM_LI_01 / Iss.01 / 03.10.2016/Coleman III et al., J Chromtr Sci, 318-321, Vol.36: 1998
Total menthones SLCM_LI_02/ Iss.01 / 03.10.2016/ IS 528 : 1999 Part – 2; Reaffirmed -2006 (Annexure - A)
Carbitol SLCM_LI_02/ Iss.01 / 03.10.2016/ IS 528 : 1999 Part – 2; Reaffirmed -2006 (Annexure - A)
Pulygone SLCM_LI_02/ Iss.01 / 03.10.2016/ IS 528 : 1999 Part – 2; Reaffirmed -2006 (Annexure - A)
2 Ethyl 1-Hexanol SLCM_LI_02/ Iss.01 / 03.10.2016/ IS 528 : 1999 Part – 2; Reaffirmed -2006 (Annexure - A)
5- Methyl 2,4- Diisopropylphenol SLCM_LI_02/ Iss.01 / 03.10.2016/ IS 528 : 1999 Part – 2; Reaffirmed -2006 (Annexure - A)
8.2 Pipreta Oil Specific Gravity IS 528 :1999 , Reaffirmed - 2006 IS 326 :1980 Part – 3 , Reaffirmed -2012
Refractive Index IS 528 :1999 , Reaffirmed - 2006 IS 326 :1980 Part – 5 , Reaffirmed 2006
Solubility in 70 % ethanol IS 326 :1980 Part – 6 , Reaffirmed -2015
Terpene SLCM_LI_02/ Iss.01 / 03.10.2016/ IS 528 :1999 Part – 2; Reaffirmed -2006 (Annexure - A)
Menthyl Acetate IS 326 :1980 Part – 8 , Reaffirmed 2015/ SLCM_LI_02/ Iss.01 / 03.10.2016
L-Menthol IS 528 :1999 Part – 2; Reaffirmed -2006 (Annexure - A)/ SLCM_LI_02/ Iss.01 / 03.10.2016
Menthofuran IS 528 :1999 Part – 2; Reaffirmed -2006 (Annexure - A)/ SLCM_LI_02/ Iss.01 / 03.10.2016 , IS 326 :1980 Part – 11, Reaffirmed -2010
Petroleum & Mineral Oils IS 326 -1984 Part-15 , Reaffirmed 2010
Water IS 326-1980 Part-2 , Reaffirmed -2015
Solid Sediments IS 326 :1980 Part – 2 , Reaffirmed -2015
D-Menthol SLCM_LI_01 / Iss.01 / 03.10.2016/Coleman III et al., J Chromtr Sci, 318-321, Vol.36: 1998
Menthone SLCM_LI_02 / Iss.01 / 03.10.2016/ IS 528 :1999 Part – 2; Reaffirmed -2006 (Annexure - A)
Iso- Menthone SLCM_LI_02 / Iss.01 / 03.10.2016/ IS 528 :1999 Part – 2; Reaffirmed -2006 (Annexure - A)
Neo – Menthol SLCM_LI_02 / Iss.01 / 03.10.2016/ IS 528 :1999 Part – 2; Reaffirmed -2006 (Annexure - A)
Iso- Menthol SLCM_LI_02 / Iss.01 / 03.10.2016/ IS 528 :1999 Part – 2; Reaffirmed -2006 (Annexure - A)
8.3 DMO Specific Gravity IS 528 :1999 , Reaffirmed - 2006 IS 326 :1980 Part – 3 , Reaffirmed -2012
Refractive Index IS 528 :1999 ; RA - 2006 IS 326 :1980 Part – 5 , Reaffirmed 2006
Solubility in 70 % ethanol IS 326 :1980 Part – 6 , Reaffirmed -2015
Terpene SLCM_LI_02 / Iss.01 / 03.10.2016 / IS 528 :1999 Part – 2; Reaffirmed -2006 ( Annexure - A)
Menthyl Acetate IS 326 :1980 Part – 8 , Reaffirmed 2015/ SLCM_LI_02 / Iss.01 / 03.10.2016
L-Menthol IS 528 :1999 Part – 2; Reaffirmed -2006 ( Annexure - A) / SLCM_LI_02 / Iss.01 / 03.10.2016
Petroleum & Mineral Oils IS 326 -1984 Part-15 , Reaffirmed 2010
Water IS 326-1980 Part-2 , Reaffirmed -2015
Solid Sediments IS 326 :1980 Part – 2 , Reaffirmed -2015
D-Menthol SLCM_LI_01 / Iss.01 / 03.10.2016/Coleman III et al., J Chromtr Sci, 318-321, Vol.36: 1998
Menthone SLCM_LI_02 / Iss.01 / 03.10.2016/ IS 528 :1999 Part – 2; Reaffirmed -2006 ( Annexure - A)
Iso- Menthone SLCM_LI_02 / Iss.01 / 03.10.2016/ IS 528 :1999 Part – 2; Reffirmed -2006 (Annexure - A)
Neo – Menthol SLCM_LI_02 / Iss.01 / 03.10.2016/ IS 528 :1999 Part – 2; Reaffirmed -2006 (Annexure - A)
Iso- Menthol SLCM_LI_02 / Iss.01 / 03.10.2016/ IS 528 :1999 Part – 2; Reaffirmed -2006 (Annexure - A)
8.4 Mentha Flakes/Mentha crystals L-Menthol IS 528 : 1999 Part – 2; Reffirmed -2006 (Annexure - A) / SLCM_LI_02 / Iss.01 / 03.10.2016
[0032] FIG. 4 describes a general system for quality control data management in a warehouse management system 400. The described system comprises a plurality of warehouses stored at different locations globally. Each of the warehouses has a warehouse management subsystem of its own wherein the subsystem comprises of at least one personnel to manually enter the quality control data based on the analysis of primary characteristics, secondary characteristics and tertiary characteristics using the portable means provided. Such collated data from each of the warehouse management subsystem is stored at the primary repository which is located at the central web server 420. The primary repository consists of a continuation module that is configured continuously update and sync the measured quality controldata to the secondary repository 425 present at a different location other than the primary repository. Such secondary repository generates at least one grade score card based on the synced quality control data.

[0033] The embodiments and implementation described above are illustrative examples and it should not be construed that the present invention is limited to these particular embodiments. Thus various changes and modifications may be effected by one skilled in the art without departing from the spirit or scope of the invention as defined in the appended claims.

Claims:WE CLAIM:
1. A method for real-time monitoring of quality control datain a warehouse management system, the method comprising the steps of:

analysing a pre-defined set of inward commodities from amongst a plurality of inward commodities wherein said commodities are analysed for a plurality of primary characteristics;

measuring the analysed primary characteristics wherein the measured data is stored in a primary repository on a central web server;

conducting a plurality of checks on one or more stored commodities, wherein the stored commodities are analysed for a pre-defined set of secondary commodity characteristics, wherein the measured data is stored in the primary repository on the central web server;

conducting a plurality of checks on a set of outward commodities wherein the plurality of commodities are analysed for a pre-defined set of tertiary characteristics, wherein the measured data is stored in the primary repository on the central web server;

syncing the measured data generated from the plurality of checks on the set of inward commodities, the one or more stored commodities and the set of outward commodities on a pre-defined secondary repository, wherein the predefined secondary repository is connected to the central web server; and the syncing of the measured data is fetched from a plurality of warehouse management subsystems through the means of a distributed computing network; and

computing at least one grade score card by compiling the measured data on the pre-defined secondary repository, wherein the grade score card is updated with the continuous access to the quality control data stored on the primary repository located on the central web server.

2. The method as claimed in claim 1, wherein the plurality of warehouse management subsystems includes the warehouses located at a plurality of locations interconnected through the distributed computing network to the warehouse management system.

3. The method as claimed in claim 1, wherein the primary characteristics includes but not limited to moisture content, infestation level, temperature, humidity, and weight.

4. The method as claimed in claim 1, wherein the secondary characteristics includes but not limited to moisture content, infestation level and atta formation.

5. The method as claimed in claim 1, wherein the tertiary characteristics includes but not limited todifference in the moisture content in the commodity based on the primary characteristics and tertiary characteristics, measurement of difference in the weight of the commodity based on the primary characteristics and tertiary characteristics.

6. The method as claimed in claim 1, wherein the method is further configured to select at least one of either storing or rejecting the commodity based on the measured data associated with the plurality of primary characteristics.

7. The method as claimed in claim 1, wherein the generated grade score card includes at least one of an analysis of the commodity based on the primary characteristics, an analysis of the commodity based on the secondary characteristics, and an analysis of the commodity based on the tertiary characteristics.

8. A distributed computing system for real-time monitoring of quality control data in a warehouse management system, the system comprising of:
at least one portable means is used to manually enter one or more measured quality data, wherein the atleast one portable means is connected to a predefined primary repository located on a central web server;
a predefined secondary repository to generate a grade score card wherein the stored data from the pre-defined primary repository is synced with the secondary repository based on the plurality of primary characteristics, secondary characteristics and tertiary characteristics; and
a continuation module, located on the primary repository, updates the measured quality controldata to the secondary repository, wherein the measured quality control data includes at least one of the primary characteristics, at least one of the secondary characteristics and at least one of the tertiary characteristics;

wherein said warehouse management system includes a plurality of warehouse management subsystems located at a plurality of locations interconnected through the distributed computing network.

9. The system as claimed in claim 8, wherein the plurality of primary characteristics includes but not limited to moisture content, infestation level, temperature, humidity, and weight.

10. The system as claimed in claim 8, wherein the plurality of secondary characteristics includes but not limited to moisture content, infestation level and atta formation.

11. The system as claimed in claim 8, wherein the plurality of tertiary characteristics includes but not limited to difference in the moisture content in the commodity based on the primary characteristics and tertiary characteristics, measurement of difference in the weight of the commodity based on the primary characteristics and tertiary characteristics.

12. The system as claimed in claim 8, wherein the system is configured to monitor the quality of the plurality of commodities upon a commodity inward process, a commodity storage process and a commodity outward process.
13. The system as claimed in claim 8, wherein the generated grade score card is continuously updated to includeat least a moisture relevance related analysis of the commodities based on the tertiary characteristics.

14. The system as claimed in claim 8, wherein the generated grade score card is continuously updated to include at least infestation, moisture and atta formation analysis of the commodities based on the secondary characteristics.

15. The system as claimed in claim 8, wherein the generated grade score card is continuously updated to include at least weight, temperature and humidity analysis of the commodities based on the primary characteristics.