CN108647797B - Method for optimally utilizing warehouse capacity - Google Patents
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- CN108647797B CN108647797B CN201810473557.5A CN201810473557A CN108647797B CN 108647797 B CN108647797 B CN 108647797B CN 201810473557 A CN201810473557 A CN 201810473557A CN 108647797 B CN108647797 B CN 108647797B
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Abstract
The invention relates to the technical field of electronic commerce, and particularly discloses a method for optimally utilizing warehouse capacity, which comprises the steps of carrying out region division on a warehouse and generating region serial numbers, inputting the information of each region sub-frame and generating sub-frame serial numbers; through data acquisition and analysis, defining the external packing characteristics of various goods by combining goods information, selecting the external packing characteristics of the goods and the quantity X of the stored goods to warehouse in, and generating a warehouse receipt number; and settling the warehouse contents according to the external packing characteristics of the goods. According to the invention, the warehouse capacity is calculated from the package of the goods, so that the calculation of the warehouse capacity is more accurate, the problems that the remaining warehouse capacity is enough theoretically but the goods cannot be accurately warehoused due to the limitation of external package characteristics of the goods are effectively avoided, and the like, and the warehouse capacity is optimally utilized.
Description
Technical Field
The invention relates to the technical field of electronic commerce, and particularly discloses a method for optimally utilizing warehouse capacity.
Background
In the warehousing management, a client can transport goods into a warehouse in an indefinite time, the residual inventory capacity of the warehouse can change correspondingly all the time, the calculation error of the warehouse capacity exists, meanwhile, the residual inventory capacity is enough due to the fact that the types of the goods transported into the warehouse and the external packaging characteristics are different, but the goods cannot be warehoused due to the limitation of the types of the goods and the external packaging characteristics. Therefore, a method for solving the above problems is required.
Disclosure of Invention
In order to overcome the defects and shortcomings in the prior art, the invention aims to provide a method for optimally utilizing warehouse capacity.
In order to achieve the above purpose, the present invention adopts the following scheme.
A method for optimal utilization of warehouse capacity, comprising:
dividing the warehouse into regions and generating region serial numbers, inputting the length L, the width W, the height H and the unit area bearing force F of each region sub-frame, and generating sub-frame serial numbers;
through data acquisition and analysis, and by combining the weight of the goods, the occupied area of variety packages and the weight of the goods in each package, setting various external packaging characteristics for warehousing the goods; the outer packaging characteristics comprise a packaging floor area S1, a cargo packaging length L1, a cargo packaging width W1, a cargo packaging height H1 and a packaged cargo bearable weight M1;
determining external packing characteristics of the goods and the quantity X of the stored goods, and performing warehouse entry calculation on the goods to generate a warehouse receipt number;
calculating the stacking quantity N1 ' of the goods, the stacking height H1 ' of the goods, the pressure F1 generated by each goods packaging unit area and the pressure F1 ' generated by the goods stacked upwards when the goods are stacked upwards at the highest position according to the bearable weight M1 of the packaged goods with the selected outer packaging characteristics, the weight G1 of each packaged goods, the goods packaging floor area S1 and the height H1 of the goods packaging; wherein N1 ' is an integer drawn downward (M1/G1), H1 ' is N1 ' is H1, F1 is (G1/S1), and F1 ' is N1 ' is F1;
acquiring unused sub-frames with the height greater than H1 ' and the unit area bearing capacity greater than F1 ' according to the warehouse area, preferentially selecting the sub-frames with the smallest difference between the sub-frame height H and H1 ' for warehousing the goods, and preferentially selecting the sub-frames with the smallest difference between the unit area bearing capacity F and F1 ' for warehousing the goods if a plurality of sub-frames with the smallest difference between H and H1 ' exist;
if the sub-racks in the unused state with the height larger than H1 'and the bearing force per unit area larger than F1' exist, taking out the sub-rack with the smallest difference between the lower rounding (H/H1) and the lower rounding (F/F1); then:
calculating the number of the goods which can be stacked in the current sub-frame, wherein the number of the goods which can be stacked in the current sub-frame is N1' (rounded down (L/L1) > rounded down (W/W1)), L1 is the length of the goods package, and W1 is the width of the goods package;
if there is no rack in the unused state with height greater than H1 'and bearing force per unit area greater than F1', then:
acquiring a sub-frame which is higher than H1 and has a unit area bearing capacity larger than F1 in an unused state;
recording the smaller value of the downward integers (H/H1) and (F/F1) as Y, and then, the number of the goods which can be stacked in the current sub-rack is Y (the downward integer (L/L1) is the downward integer (W/W1));
recording the quantity of the goods which can be stacked in the current sub-frame into the stored quantity X', marking the sub-frame as a used state, and recording the quantity of the stored current goods;
warehousing the goods of the next rack until X' is less than or equal to the quantity X of the stored goods; and if the unused goods which meet the conditions are not separated, reminding that the storage capacity of the warehouse is insufficient.
Further, if the goods pass the reserved warehousing, analyzing according to the goods variety, packaging specification and packaging quantity reserved warehousing and by combining the collected goods data to determine the external packaging characteristics of the goods; if the external packing characteristics of the goods cannot be determined, selecting the external packing characteristics occupying the largest storage capacity in data analysis to evaluate whether the residual storage capacity of the warehouse is enough to store the quantity of the current reserved warehoused goods.
Further, if the goods are delivered from the warehouse:
according to the warehousing record, acquiring the serial number of the sub-frames where the goods are delivered and the quantity of the goods stored in the sub-frames;
carrying out goods delivery calculation in a reverse order according to the serial numbers of the shelves, and recording the serial number of the current shelf and the quantity of the current shelf delivered;
and if the number of the current shelves for ex-warehouse is equal to the number of the current shelves for storage, marking the shelves as unused states.
A computer-readable storage device stores a computer program for execution by a processor to implement the above-described method for optimal utilization of warehouse contents.
A mobile terminal, comprising:
a processor adapted to execute program instructions;
a storage device adapted to store program instructions adapted to be loaded and executed by a processor to implement the method of optimal utilization of warehouse storage capacity described above.
A system for optimal utilization of warehouse capacity comprises a server;
the server comprises a processor and a storage device;
a processor adapted to execute program instructions;
a storage device adapted to store program instructions adapted to be loaded and executed by a processor to implement the method of optimal utilization of warehouse storage capacity described above.
The invention has the beneficial effects that: the method for optimally utilizing the warehouse capacity is provided, the warehouse capacity is calculated from the package of the goods, so that the calculation of the warehouse capacity is accurate, the problems that the goods cannot be accurately warehoused due to the limitation of external package characteristics of the goods and the like because the residual warehouse capacity is enough theoretically are effectively solved, and the warehouse capacity is optimally utilized.
Detailed Description
The present invention will be further described with reference to the following examples for facilitating understanding of those skilled in the art, and the description of the embodiments is not intended to limit the present invention.
A method for optimally utilizing the warehouse capacity comprises the steps of carrying out region division on a warehouse and generating region serial numbers according to the sequence of regions from outside to inside and from left to right; and inputting information of the length L, the width W, the height H, the unit area bearing force F and the like of the sub-frames in each area into a system, and generating serial numbers of the sub-frames from outside to inside, from left to right and from bottom to top.
Through big data acquisition and analysis, and by combining the weight of the goods, the packaging occupied area of the varieties and the weight of the goods of each package, one or more external packaging characteristics which accord with the goods condition are defined for selection when the goods are put in storage; and selecting the external packing characteristics of the goods and the quantity X of the stored goods to warehouse in, and generating a warehouse receipt number. Assume that the selected overwrap characteristics are: cargo package base area S1 is 100, length L1 is 20, width W1 is 5, height H1 is 15, number of stored cargo X is 200, weight G1 per package of cargo is 500, weight M1 that can be borne by the packaged cargo is 4200, then:
the number of goods which can be stacked upwards is N1 which is an integer (M1/G1) which is an integer (4200/500) which is an integer 8; the height of the stacked goods is H1 '═ N1' ═ H1 ═ 8 ═ 15 ═ 120; the pressure F1 (G1/S1) (500/100) is 5 per unit area of the cargo package; the highest pressure F1 '═ N1' ═ F1 ═ 8 ═ 5 ═ 40 per unit area when the goods are stacked upwards;
acquiring unused sub-frames with the height larger than H1 '(120) and the unit area bearing capacity larger than F1' (40) according to a warehouse area, and preferentially selecting the sub-frames with the height H smaller than the difference value of 120 to warehouse the goods (namely, the sub-frames with the height of 121 and the sub-frames with the height of 125 meet the condition, and the sub-frames with the height of 121 are preferentially selected to warehouse the goods); assuming that the goods are stored in 20 bags, and the shelf height H, the length L and the width W satisfy the conditions of 121, 75 and 12, respectively:
the number of the goods which can be stacked in the current sub-rack is N1' ((L/L1) × lower rounding (W/W1)) } 8 × (75/20) × (12/5) ═ 48; the stored number X' 20+ 48-68; at this time, if 68 bales are smaller than 200 bales put in storage, the search is continued for a shelf in an unused state satisfying a height greater than H1 '(120) and a unit area bearing force greater than F1' (40).
If the unused state sub-frames with the height larger than H1 '(120) and the unit area bearing capacity larger than F1' (40) are not met, searching the unused state sub-frames with the height larger than H1(15) and the unit area bearing capacity larger than F1 (5); assuming that the found sub-frame height H is 90, the length L is 65, the width W is 11, and the unit area bearing force F is 23, then:
taking down (H/H1) ═ 6 (90/15) ═ 6 (F/F1) ═ 4 (23/5) ×, then Y ═ 4 (Y) ·, then the number of goods that can be stacked in the current sub-rack is Y (— L1) × (W/W1))) -4 ═ 24 (65/20) · 24 (11/5) ·, then the number of stored goods X' ═ 68+24 is 92; at this time, 92 packages are smaller than 200 packages in storage, the sub-racks meeting the conditions are continuously searched for goods to be stored in storage until the stored quantity X' is larger than or equal to X (200 packages). And if the unused goods which can meet the above conditions are not separated, reminding that the storage capacity of the warehouse is insufficient. Therefore, the warehouse capacity is calculated from the package of the goods, so that the calculation of the warehouse capacity is accurate, the problems that the remaining warehouse capacity is enough theoretically but the goods cannot be accurately warehoused due to the limitation of external package characteristics of the goods and the like are effectively solved, and the warehouse capacity is optimally utilized.
In the embodiment, if the goods are reserved for warehousing (namely, the goods are not in a warehouse field during reservation, and the weight of the goods, the variety packaging occupation area and the weight of the goods in each package cannot be determined), big data analysis is performed according to the goods varieties, the packaging specifications and the packaging quantity reserved for warehousing to determine the external packaging characteristics of the goods; if the external packing characteristics of the goods cannot be determined, selecting the external packing characteristics occupying the largest storage capacity to evaluate whether the residual storage capacity of the warehouse is enough to store the quantity of the current reserved warehoused goods.
In the embodiment, if the goods are delivered out of the warehouse, the serial number of the sub-frames where the delivered goods are located and the quantity of the goods stored in the sub-frames are obtained according to the warehousing record; carrying out goods delivery calculation in a reverse order according to the shelf serial numbers, and recording the shelf serial numbers and the shelf delivery quantity for the shelves for delivering goods; if the quantity of the ex-warehouse shelves is equal to the quantity of the storage shelves, the shelf shelves are marked as unused.
In addition, one of ordinary skill in the art will understand that: all or part of the steps of the method for optimally utilizing the warehouse storage capacity can be completed through hardware related to program instructions, the program instructions can be stored in a computer readable storage medium or storage equipment, and the program instructions execute the steps of the transaction method when executed; and the aforementioned storage media or storage devices include, but are not limited to: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Accordingly, the embodiment of the present invention also provides a computer readable storage device, which stores a computer program, and the computer program is executed by a processor to implement the method for optimally utilizing the warehouse storage capacity.
Further, the invention also provides a corresponding mobile terminal and a corresponding transaction system to realize the method for realizing the optimal utilization of the warehouse capacity, which specifically comprises the following steps:
a mobile terminal, comprising:
a processor adapted to execute program instructions;
a storage device adapted to store program instructions adapted to be loaded and executed by a processor to implement the method for optimal utilization of warehouse storage capacity.
The warehouse storage capacity optimal utilization system comprises a server; the server comprises a processor and a storage device;
a processor adapted to execute program instructions;
a storage device adapted to store program instructions adapted to be loaded and executed by a processor to implement the method for optimal utilization of warehouse storage capacity.
The above description is only a preferred embodiment of the present invention, and for those skilled in the art, the present invention should not be limited by the description of the present invention, which should be interpreted as a limitation.
Claims (6)
1. A method for optimal utilization of warehouse capacity, comprising:
dividing the warehouse into regions and generating region serial numbers, inputting the length L, the width W, the height H and the unit area bearing force F of each region sub-frame, and generating sub-frame serial numbers;
through data acquisition and analysis, and by combining the weight of the goods, the occupied area of variety packages and the weight of the goods in each package, setting various external packaging characteristics for warehousing the goods; the outer packaging characteristics comprise a packaging floor area S1, a cargo packaging length L1, a cargo packaging width W1, a cargo packaging height H1 and a packaged cargo bearable weight M1;
determining external packing characteristics of the goods and the quantity X of the stored goods, and performing warehouse entry calculation on the goods to generate a warehouse receipt number;
calculating the quantity N1 ' of the goods which can be stacked upwards, the stacking height H1 ' of the goods, the pressure F1 generated by each goods package per unit area and the pressure F1 ' generated by the goods stacked upwards when the goods are stacked upwards at the highest according to the bearable weight M1 of the packaged goods with the external packaging characteristics, the weight G1 of each packaged goods, the packaging occupied area S1 of the goods and the height H1 of the goods packages; wherein N1 ' is an integer drawn downward (M1/G1), H1 ' is N1 ' is H1, F1 is (G1/S1), and F1 ' is N1 ' is F1;
acquiring unused sub-frames with the height greater than H1 ' and the unit area bearing force F greater than F1 ' according to the warehouse area, and preferentially selecting the sub-frames with the minimum difference between the sub-frame height H and H1 ' for warehousing; if a plurality of sub-frames with the smallest difference between H and H1 'exist, the sub-frame with the smallest difference between the bearing force F and the bearing force F1' in the unit area of the sub-frame is preferentially selected for warehousing the goods;
if there is a sub-rack in an unused state with a height greater than H1 'and a unit area bearing force F greater than F1', then:
calculating the number of the goods which can be stacked in the current sub-frame, wherein the number of the goods which can be stacked in the current sub-frame is N1' (rounded down (L/L1) > rounded down (W/W1)), L1 is the length of the goods package, and W1 is the width of the goods package;
if there is no rack in the unused state with height greater than H1 'and unit area bearing force F greater than F1', then:
acquiring the sub-frames which are in an unused state and have the height larger than H1 and the unit area bearing force F larger than F1, and taking out the sub-frames with the smallest difference between the lower rounding (H/H1) and the lower rounding (F/F1);
recording the smaller value of the downward integers (H/H1) and (F/F1) as Y, and then, the number of the goods which can be stacked in the current sub-rack is Y (the downward integer (L/L1) is the downward integer (W/W1));
recording the quantity of the goods which can be stacked in the current sub-frame into the stored quantity X', marking the sub-frame as a used state, and recording the quantity of the stored current goods;
warehousing the goods of the next rack until X' is less than or equal to the quantity X of the stored goods; and if the unused goods which meet the conditions are not separated, reminding that the storage capacity of the warehouse is insufficient.
2. The method for optimally utilizing the warehouse capacity according to claim 1, wherein if the goods are reserved for warehousing, the external packaging characteristics of the goods are determined by analyzing the goods varieties, the packaging specifications and the packaging quantity reserved for warehousing in combination with the collected goods data; if the external packing characteristics of the goods cannot be determined, selecting the external packing characteristics occupying the largest storage capacity in data analysis to evaluate whether the residual storage capacity of the warehouse is enough to store the quantity of the current reserved warehoused goods.
3. The method of claim 1, wherein if the goods are delivered from the warehouse, the method comprises:
according to the warehousing record, acquiring the serial number of the sub-frames where the goods are delivered and the quantity of the goods stored in the sub-frames;
carrying out goods delivery calculation in a reverse order according to the serial numbers of the shelves, and recording the serial number of the current shelf and the quantity of the current shelf delivered;
and if the number of the current shelves for ex-warehouse is equal to the number of the current shelves for storage, marking the shelves as unused states.
4. A computer-readable storage device storing a computer program, wherein the computer program is executed by a processor to implement the method for optimal utilization of warehouse storage capacity of any of claims 1 to 3.
5. A mobile terminal, comprising:
a processor adapted to execute program instructions;
a storage device adapted to store program instructions adapted to be loaded and executed by a processor to implement the method of optimal utilisation of warehouse storage capacity of any one of claims 1 to 3.
6. A system for optimal utilization of warehouse capacity is characterized by comprising a server;
the server comprises a processor and a storage device;
a processor adapted to execute program instructions;
a storage device adapted to store program instructions adapted to be loaded and executed by a processor to implement the method of optimal utilisation of warehouse storage capacity of any one of claims 1 to 3.
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| CN109409554B (en) * | 2018-10-30 | 2021-04-02 | 东莞市大易产业链服务有限公司 | Management and control method based on warehouse visualization |
| CN113554368B (en) * | 2020-04-23 | 2022-12-02 | Oppo（重庆）智能科技有限公司 | Material preparation method, material preparation device and storage medium |
| CN111860358B (en) * | 2020-07-23 | 2021-05-14 | 浙江赛慕威供应链管理有限公司 | Material acceptance method based on industrial internet |
| CN113888089A (en) * | 2021-09-30 | 2022-01-04 | 东莞盟大集团有限公司 | Artificial intelligence-based goods storage method and system |
| CN114819285A (en) * | 2022-03-31 | 2022-07-29 | 日日顺供应链科技股份有限公司 | Warehouse setting method and warehouse entering method |
| CN114723186B (en) * | 2022-06-08 | 2022-09-02 | 浙江极致智能物流装备有限公司 | Logistics storage management terminal and management method thereof |
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| CN101187935A (en) * | 2007-12-06 | 2008-05-28 | 上海大学 | Storing article precise position information retrieving system and method |
| CN103870893B (en) * | 2014-04-09 | 2017-02-15 | 沈阳工业大学 | Optimization method for solving encasement problem under multiple weight restrictions based on three-dimensional space |
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