JPH10222572A - Processing supporting method and processing supporting device for used product - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a method and a device which support the decision of appropriate costs of processing and efficient processing work by inputting information that specifies a product and calculating indexes such as costs which are needed for recycle and waste of the product, recyclable material, amount, a recyclable ratio and environmental load. SOLUTION: A means which performs retrieval and read of various database and an arithmetic device 2 which calculates by using read data calculate indexes such as costs that are needed for product processing, collectable material and amount and offer them to a user by outputting to an output I/F 3 by using a database which records information that specifies a product which is inputted from an input I/F 1, information about a product, information about processing equipment and information about recycled materials.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and an apparatus for assisting a processing company after a mass-produced product such as an electric home appliance or an OA product is used up.

[0002]

2. Description of the Related Art When a product is used up and disposed of by a processing company, most of the product is subjected to pretreatment such as decomposition based on the experience of the processing company and crushing treatment, and only iron and some non-ferrous metals are recovered. At present, the rest is final disposal. In particular, in household electrical appliances, the proportion of ferrous and non-ferrous metals is small and tends to decrease year by year. Under the current treatment conditions, the proportion that can be recycled is not high and is likely to decrease in the future. In the above-mentioned processing means, there are many cases where proper processing is not performed, for example, environmentally harmful chemical substances contained in used products are not recovered, and high value-added materials are not recovered. Also, since there is little information needed to estimate the cost of processing in advance, and the price of the material recovered by the processing is volatile,
The processing cost is a situation determined by an asking price based on the experience of the trader.

[0003]

At present, the reason why the percentage of used products that can be recycled is not increased, proper processing is not performed, and the proper processing cost is not estimated is that processing is performed. The major factor is that companies do not have information on products and the value of collected items fluctuates greatly, so that they are forced to make decisions based on their experience and intuition.

[0004] In addition, if it is taken up by a manufacturer, the outsourcing cost for outsourcing the processing of a used product is determined by the asking price of the processing company, and it is determined whether the price is an appropriate level. There is no means. In addition, at present, it is difficult to grasp whether a contractor outsourced to the processing of used products is performing appropriate processing.

[0005] Therefore, an object of the present invention is to solve the above-mentioned problems by providing information on products, information on the value and demand in the market of each collected article, and information on the processing equipment and capabilities of the processing company. By using the information on processing equipment, estimating the recoverable materials, quality, quantity, environmental load, facility margin, worker allocation, and the cost required for processing when the product is processed, The purpose is to support the recycling of used products.

Another object of the present invention is to provide a method for processing a product in the step of solving the above-mentioned problems, for example, in which the processing cost is lowest or the proportion of reusable material is lowest. It is to support efficient processing of a used product by selecting and outputting an optimum processing procedure such as a higher processing procedure.

Another object of the present invention is to provide a method for solving the above-mentioned problems, comprising: a material that can be recovered after processing; a quality of the recovered material; an amount of the recovered material; a cost required for the processing; When estimating and outputting all or a part of the operation information of equipment and workers, when automatically outputting and estimating by inputting each product name, each manufacturer, or each year, or each model number, By outputting the information, for example, it is possible to automatically classify processing information that needs to be divided for each processing contractor, thereby supporting simplification of the business of the processing contractor.

Another object of the present invention is to perform proper processing by managing information such as the model number, maker, type, and model of the processed product, and information such as the quantity and quantity of collected articles. The purpose is to support the environmental management of the processor by collecting data for proof.

Another object of the present invention is to allow a manufacturer to use the present system to estimate a processing cost for each product, and to properly process a used product for a processing company. To assist in estimating costs.

[0010] Another object of the present invention is to provide a system in which a manufacturer uses the present system to collect articles that are collected by a processor when the processing of the product is entrusted to a processor.
It is to manage whether or not proper processing is performed based on information such as the amount.

[0011]

In order to achieve the above-mentioned object, the present invention provides a product to be processed based on information capable of specifying a product such as a name, a maker, a model, and a model number of the product to be processed. Estimating the processing procedure by an estimation method that determines a procedure that can process the input product using a database that can guide information about the apparatus, information about the equipment that performs the processing, and information about the collected product, What can be collected, quality,
Amount, cost of processing, environmental load caused by processing,
It estimates and outputs all or part of the operation information of the equipment, such as the margin of equipment and the arrangement of workers.

[0012]

DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will be described below in detail with reference to the drawings.

FIG. 1 shows an overall configuration of the present invention. An input I / F 1 for inputting predetermined information, an arithmetic unit 2 for executing predetermined processing based on the input information, and an operation executed by the arithmetic unit A storage device 4 used in accordance with a predetermined process, a product database 5, a processing facility database 6, a collected product database 7, an external connection device 8, and an external database 9
And an output I / F 3 for outputting predetermined information. In the present embodiment, the product database 5, the processing facility database 6, and the collected product database 7 are included in the storage device 4, but they are provided in an externally provided auxiliary storage device. No problem. In addition, processing equipment database 6, collected product database 7
Can be substituted by using the input by the user, but by providing these databases, it is possible to greatly reduce the user's labor of input.

The input I / F 3 is a general input device such as a keyboard, a mouse, a tablet, and a bar code reader, and inputs information for specifying a product such as a product model number. It is also used when inputting data corresponding to the processing equipment database 6 and the collected product database 7.

The arithmetic unit 2 is input based on the information for specifying the input product, using various databases to be described later or data corresponding to the input processing equipment database 6 and input product database 7. Judgment of the procedures that can process products, and what can be collected when working based on the procedures, materials, quality, quantity, costs required for processing, environmental load caused by processing, margin of equipment, allocation of workers, etc. All or a part of the operation information of the equipment is output to the output I / F3.

The output I / F 3 may be a general output device such as a display or a printer. The arithmetic unit 2
Has a function of searching, reading, and writing data in the storage device 4 and various databases prepared in the storage device.

FIG. 2 shows the product database 5.

In the product database, information used when searching for a product to be specified largely includes a type, a manufacturer,
Years, specifications, model numbers, etc. are available. Then, as information on the product, there is information on the decomposition of the product. What parts are to be disassembled, what tools are needed to disassemble those parts, how long it takes, what materials can be recovered by disassembly, how much can be recovered, and The remaining parts record what kind of material is contained in what amount, and contents necessary for subsequent processing. Since the parts to be disassembled differ depending on the necessary tools, the time required for work, the equipment that performs subsequent processing, etc., information on disassembly may prepare multiple patterns for each product . In addition, when the product is slightly changed, the model number and the model year are changed, but there are cases where there is no major change in the configuration. In such a case, two or more types of products may use information on the same product. In addition, as the information for identifying the product, if there is a number that can collectively manage the manufacturer, year, model, serial number, etc. of the product that is currently considered as the product serial number, it can also be used. it can.

In addition, in order to accumulate data relating to disassembly, in addition to a method of actually performing disassembly tests using a product manufactured by a manufacturer and collecting data, the disassembly time and disassembly cost are also used as design information. There is a method of collecting by calculating by a method of estimating using. As such a method, there is JP-A-6-251024.

The information on the product may be read directly from the product by providing a function of storing the information in the product itself, instead of using the database as in the above case. In this case, all of the following processing is performed by reading information on the product stored in the product instead of the content stored in the product database.

FIGS. 3, 10, and 11 show the processing facility database 6. FIG.

The processing equipment database is classified, for example, for each processing device or for each processing content, and the processing cost, the processing power, and the environmental load due to the processing when the processing target is put into each device. And the recovery rate.
Fig. 3 shows an example of crusher + various sorts. The first row is the target (first section is large section, the second section is detailed section), the second row is the cost required for processing, and the third row is collection The possible ratio and the fourth column record the purity of the recovered product. As described above, it is also possible to collect data from crushing to sorting as data collectively, and there is also a method having data for each process, such as a crushing machine, a magnetic force sorting machine, an eddy current sorting machine, and a specific gravity sorting machine. By having these data, the evaluation can be performed if only the type and amount of the material constituting the article to be put into the device are known, and the present invention can be realized.
It is desirable that these data initially include standard data and be customized according to the equipment of each processing company.

FIG. 10 shows an example of a database for a person. In the case of a person, data for identifying an individual such as an individual's name or worker number, unit prices that vary depending on the skill level of the individual, a list of work that can be performed, and information such as work efficiency for each work Is stored. By including a list of work that can be performed, it becomes possible to search for who can perform the work from the contents of the disassembly work and the like in the product database. The work time recorded in the product database is a standard work time, and may differ depending on the worker. In this way, by recording the work efficiency of each person based on the ratio with the standard work time, it becomes possible to incorporate the work efficiency that is different for each worker into the calculation.

FIG. 11 is a database relating to articles for which dedicated processing is performed. For example, crushing and subsequent sorting, while processing that can be applied with a general material configuration, for example, processing such as collection and detoxification of chlorofluorocarbon and detoxification of substrates are applied to other processing. It is difficult to process the parts and articles exclusively. It is more convenient to deal with such processing by providing another item in the database. In this database, articles to be processed, their categories, costs required for processing, unit prices, recoverable percentages, and the like are recorded.

FIG. 4 shows the collection product database 7.

The collected product database contains the assembled products, parts,
Record the classification of collected items such as materials and dust (not necessarily essential information), name, specifications or purity, demand information such as unit price, required time, required amount, etc., and information indicating environmental load. Note that not all information is necessarily required. For example, an index indicating an environmental load is unnecessary when the magnitude of the environmental load is not calculated.

In the present embodiment, the information on the environmental load of each material is stored in the collected product database 7, but this may be separately stored as a material database.

In the present system, in order to specify a product, information such as the model number of the product is input. This information can be collected by means described later using various data relating to the product stored in the product database 5. When calculating all or part of equipment operation information, such as product, quality, quantity, cost required for processing, environmental load caused by processing, This is because it differs depending on the structure and the constituent materials, and it is optimal to specify the product as information for knowing the structure and the constituent materials of the product. The information for specifying the product is generally information that can be easily obtained from the product.

Next, the present system is used to collect the materials, quality,
Amount, cost of processing, environmental load caused by processing,
A processing flow for calculating all or a part of the operation information of the equipment such as the margin ratio of the equipment and the arrangement of workers will be described with reference to FIG.

First, information for specifying a product such as a product name is input using the input I / F 1 (step 10).
1). Specifically, for example, types of products such as televisions and vacuum cleaners, manufacturers of products such as Hitachi, product specifications such as 480W, manufacturing years such as 1984, NW-60R
A product model number such as 5 is conceivable. Information identifying these products includes product type, manufacturer, product specifications,
One or more pieces of information such as a manufacturing year and a model number are input. It is desirable to specify as much of the product as possible by entering more information here.
For example, it is very difficult to specify a product only by the name of a product called a washing machine.
g. If the washing machine is a stainless steel tub, it is possible to almost specify the product. Of course, it is often possible to specify the product more easily if the model number is known. Further, with the above-mentioned product number, it is possible to specify the product by itself.

FIG. 6 shows an example of the input screen.

In FIG. 6, for example, the model number of a product such as NW-60R5, the type of a product such as a television or a vacuum cleaner, the manufacturer of a product such as Hitachi, the model year of manufacture such as 1984, 480 W, 5.0 kg; Product specifications such as stainless steel tanks can be entered. However, it is desirable to reduce the burden on the user by selecting from among the options for the type and the manufacturer. In addition, it is not always necessary to input all of these items. Here, the input information is stored in the storage device 4.

Next, if the processing equipment database 6 is provided, information on the processing equipment is read therefrom (step 103). Here, if the processing facility database is not provided, or the information is not sufficient, or the input information is old, the input of the processing facility information is performed by the input I / F 1 (step 102). The processing equipment information input here is sequentially stored in the processing equipment database 6, so that it is not necessary to input the same information many times, and the usability is improved. In addition, how to store in the database and how to read from the database,
It may be the same as the means of a normal database program.

Next, if the collected product database 7 is provided, information on the disposal cost of the collected product and the selling price is read from the database (step 105). If the collection database is not provided, or the information is not enough, or if the input information is old,
Input the collected product information by F1 (Step 10)
4). The collected product information input here is sequentially accumulated in the collected product database 6, so that it is not necessary to input the same information many times, and the usability is improved. Note that the method of storing data in the database and the method of reading data from the database may be the same as those of a normal database program.

It should be noted that the price of the information on the recovered product is expected to fluctuate significantly depending on the demand trend of the component, component, or material manufacturer from which the component, component, or material is purchased. Therefore, the information is connected to a database relating to the demand for components, parts, and materials existing outside the processor or the manufacturer via the external connection device 8 via, for example, a telephone line or a network. It is desirable that the data of the collected product database 7 in the storage device 4 be constantly updated to the latest one by searching and reading information such as demand and price stored therein.

As a method of performing this, for example, immediately before performing the calculation, or when the user issues a command to update the database, the external connection device 8 can be used to execute, for example, a LAN.
It connects to the external database 9 by means such as a telephone line or a telephone line. The external database has the same structure as the collected product database shown in FIG. Here, the arithmetic unit compares the update date and time of each item of the collected product database 7 with the same item of the connected external database. Here, if new data has been registered in the external database, the content of the data is read and the value of the collected product database 7 is updated. At this time, the update date and time for the item are also updated at the same time. Note that the external database 9 is not necessarily required to be located at one place. For example, the HDD retrieves valid data from a plurality of databases such as a database of a company A, a motor of a database of a company B, and an iron of a database of a company C. Also the same HD
It is also possible to connect to the database of company A and the database of company B for D, and to use the value of the database providing more advantageous information such as a high purchase price. In this case, it is desirable that information on which database value is registered is also stored in the collected product database 7 so that the value can be known at the time of calculation and output in the result.

Next, information on the product is read from the product database 5 based on the input information for specifying the product (step 106). In this procedure, the product database shown in FIG. 2 is searched from the data of the product model number, type, maker, year, specification, etc., which have been input previously.
For example, the database indicated by the tag in FIG. 2 can be specified based on the information on the product type. Next, if the model number of the product is known, the product can be specified by searching the model number shown in the fourth item. If you do not know the model number,
Products can be sequentially specified based on information such as the manufacturer, year, and specifications. If the product cannot be identified by the input data, the product should be identified by using the data of the closest product, displaying a list of narrowed products, and letting the user select it. Can be considered.

When a product can be specified, information on the product is read. As a means for reading out information on a product, a method used by an ordinary database may be used. The information to be read is various information stored in the product database shown in FIG. 2, and these information are stored in the storage device 4.

The input of information for specifying a product, the operation of searching and reading information on a product, the reading or input of information on equipment, and the reading or input of information on a collected product include searching for information on a product. The read operation is not necessarily performed in this order, except that it needs to be performed after input of information for specifying a product.

Subsequently, using the information on the product, the information on the processing equipment, and the information on the collected product stored in the storage device 4, the arithmetic unit 2 uses the information that can be collected after the processing,
Calculate all or a part of the equipment operation information such as the quality of the collected material, the amount of the collected material, the cost required for processing, the environmental load caused by the processing, the margin of equipment and the arrangement of workers, and the result Is output to the output I / F3. A specific method of this calculation will be described later.

Here, when there are a plurality of patterns in the stored information on the product, the same calculation is performed for each of the patterns to provide the evaluator with information on which pattern is appropriate for the operation. Is also possible. The usability is improved by judging which processing pattern is better and displaying a recommended pattern with priority or automatically selecting a recommended pattern.
Here, as a material for determining which processing pattern should be selected, for a specific product, the method of maximizing the quantity of collected products, the method of maximizing the quality of collected products, the processing / selling /
The method that requires the lowest cost for disposal and the method that requires the lowest cost for processing, selling, and disposing after securing a certain amount of collection can be considered. Further, as another means for judging which processing pattern to select, for all or a plurality of products to be processed or scheduled to be processed, the work time required for each pattern of each product and the number of workers, tools, equipment, etc. There is also a method of recommending a processing pattern that is optimal in processing the whole in consideration of information. Details of this method will be described later.

The processing pattern may be selected by the evaluator before calculating various indices.

Here, using the information about the product, the information about the processing equipment, and the information about the collected product, the arithmetic unit 2
Is all of the equipment operation information such as what can be collected after treatment, the quality of the collected matter, the amount of the collected matter, the cost required for the treatment, the environmental load caused by the treatment, the margin of equipment and the arrangement of workers. Or about the specific method of calculating the part,
FIG. 7 shows an example of the items that can be collected after the treatment, the quality of the collected items, the amount of the collected items, the cost required for the treatment, and the percentage that can be recycled.

Here, it is assumed that the information on the product, the information on the processing equipment, and the information on the collected product have already been read into the storage device 4.

First, the disassembly cost is calculated (step 12).
1). The cost required for disassembly is calculated from the tools required for disassembly stored in the storage device 4 and the time required for the disassembly, the unit price for the operator and the equipment required for disassembly, and the like. This will be described with reference to FIG. For example, ZS-50 which is product identification information
If A is input, the arithmetic unit 2 of the present system
Is used to disassemble the motor, speed reducer, board, etc. from the information on the product shown in FIG. 2; driver work: 3 minutes; cutter work: 1 minute;
Extract what needs to be done.

Next, in order to calculate the cost when these operations are performed, the unit cost of the worker is extracted from the information on the processing equipment shown in FIG. 10, for example, and the disassembly cost is calculated by the following arithmetic processing. The calculation result of FIG. 8 is as follows.

Disassembly cost = unit price × ((driver work time × work efficiency) + (cutter work time × work efficiency) + (moving work × work efficiency)) = 35 × ((3 × 0.8) + (1 × 0.6) + (1 × 0.9)) = 136.5 ￥ Here, the work efficiency takes into account individual differences among workers, and is not necessarily a necessary calculation condition.

There is no problem even if the above operation is performed by a plurality of operators. In this case, a combination of workers whose disassembly cost is the lowest may be presented.

When the disassembly is performed by an automatic machine, the cost per hour of the automatic machine is taken into account by taking into account the power for operating the automatic machine, the depreciation of the automatic machine, the cost of personnel for managing the automatic machine, and the like. There is no problem if you prepare for a database that quantifies the abilities.

On the other hand, the arithmetic unit 2 also extracts from the information on the product shown in FIG. In the example of FIG. 8, the collected material and the collected amount are as follows: Motor (300 W): 1 (1.5 kg) Reducer: 1 (2 kg) Substrate: 1 kg Bottom plate: Iron, 2 kg Other: Iron: 1 kg, Copper: 0 0.5 kg, PP: 2 kg.

Subsequently, the processing cost is calculated (step 1).
22). Here, the processing cost is not the cost required for the entire processing but the cost required for the processing such as crushing and cutting. The processing cost is roughly divided into the remaining units that were not subject to disassembly, crushing, cutting, etc., and then sorting and collecting, and if you want to disassemble specially processed products that require special treatment, There are costs incurred for that special treatment.

Therefore, the arithmetic unit 2 first extracts the remaining unit contents and post-processing contents from the information on the product shown in FIG. 2, and extracts the processing equipment target and the processing unit price from the information on the processing equipment shown in FIG. Calculate the cost required for processing. Here, the processing cost includes the sorting cost.

For example, in the ZS-50A shown in FIG.
The arithmetic unit 2 extracts from the information on the product shown in FIG. 2 that the remaining units after decomposition are iron: 6 kg, aluminum: 1 kg, and PP: 10 kg. + Extract that it is a crush of plastic mixture.

Next, the arithmetic unit 2 extracts information corresponding to the extracted post-processing content “crushing of the metal + plastic mixture” from the information on the processing equipment shown in FIG. It is extracted that it is 35 (\ / kg).

Then, the arithmetic unit 2 calculates the processing cost by performing the following calculation from the processing amount and the unit price of the extracted processed object. The calculation result of FIG. 8 is as follows.

Processing cost = Unit price × Processing amount = 35 × (6 + 1 + 10) = 595 ￥ Further, the arithmetic unit 2 uses the information on the product shown in FIG.
It is determined from the information on the equipment shown in FIG. 11 whether or not there is a specially-processed product in the target collected product.

In FIG. 8, since there is a substrate corresponding to a dedicated processing product, the arithmetic unit 2 extracts a unit price 150 (\ / kg) of the processing cost of the substrate from the information on the product shown in FIG.

Then, the arithmetic unit 2 calculates the processing cost by performing the following arithmetic processing based on the processing amount and the unit price of the collected product which is the extracted specially processed product. The calculation result of FIG. 8 is as follows.

Processing cost = Unit price × Processing amount = 150 × 1 = 150 ￥ Subsequently, the arithmetic unit 2 calculates the collected items that can be actually collected and the collected amount (Step 123). That is, the amount of recovery by decomposition calculated in step 121 and the recovery amount in step 12
The total of the collection ratio with respect to the processing amount calculated in 2 is calculated. Note that portions that are not collected at the collection ratio with respect to the processing amount shown in FIG. 3 are to be disposed as dust.

For example, in the ZS-50A shown in FIG.
The amount recovered by decomposition in step 121 is: iron: 3 kg (total of bottom plate and others), copper: 0.5 kg,
The arithmetic unit 2 has already calculated that PP is 2 kg.

On the other hand, as for the amount recovered by the crushing process in step 122, the actually recovered ratio is extracted from the information on the equipment shown in FIG. 3 from the already calculated iron: 2 kg, copper: 1 kg, and PP: 10 kg.

Iron: 99%, Aluminum: 95%, PP: 80
% Based on this, the arithmetic unit 2 performs the following arithmetic processing to calculate the actual collection amount in step 122.

The calculation result of FIG. 8 is as follows.

Recovered amount = processed amount × recovery ratio Iron: 2 × (99/100) = 1.98 kg Aluminum: 1 × (95/100) = 0.95 kg PP: 10 × (80/100) = 8 kg The dust amount at that time is also calculated as follows.

Dust amount = Σ (processing amount × (1−recovery ratio) = 2 × ((100−99) / 100) + 1 × ((100−95) / 100) + 10 × ((100−80) / 100) ) = 2.07 kg Here, FIG. 3 shows not only the recovered amount but also the quality (purity) of the recovered product.
It is also possible to calculate the quality of the collected product by having the data of (1).

On the other hand, the substrate (1 k
Regarding g), the arithmetic unit 2 extracts the corresponding collection ratio of 35% from the information on the equipment shown in FIG. 11 and calculates the collection amount: 0.35 kg and the dust amount: 0.65 kg by the same calculation as described above. I do. However, for specially processed products such as substrates,
In many cases, the processing is outsourced to other processing companies, and the sale of collected products and the disposal of dust are not included in the calculation here. However, the same calculation can be performed for the specially-processed products as well, if a database is constructed so that the items and the amount of the collected products can be understood.

Subsequently, the arithmetic unit 2 calculates the cost required for selling and disposing of the collected product (step 124).

That is, in the example shown in FIG. 8, as calculated above, the motor (300 W): one piece (1.5 kg) Reducer: one piece (2 kg) Bottom plate: iron (2 kg) : Iron: 1 kg, Copper: 0.5 kg, PP: 2 kg recovered and treated (excluding special treatment) Iron: 1.98 kg, Aluminum: 0.95 kg, PP: 8 k
g is collected and dust: 2.07 kg is generated. Next, the corresponding sale unit price and disposal unit price are searched and read from the collection product database shown in FIG. Calculate the sale / disposal cost by performing appropriate calculations.

For example, in the example of FIG. 8, motors (300 W): 1 piece (1.5 kg): x31 (￥ / piece); 300 mm / piece; gears recovered by disassembly: 1 piece (2 kg) : X21 (￥ / piece); 200 ￥ / piece Iron (bottom plate + other): 3 kg: x101 (￥ / kg); 5 ￥ / kg copper: 0.5 kg: x111 (￥ / kg); 15 ￥ / kg PP: 2kg: x201 (￥ / kg); 20 ￥ / kg; collected by treatment (excluding special treatment); iron: 1.98kg: x102 (￥ / kg); 4 ￥ / kg aluminum: 0.95kg : X122 (￥ / kg); 16 ￥ / kg PP: 8 kg: x202 (￥ / kg): 8 ￥ / kg, and those that became dust, dust: 2.07 kg: x901 (￥ / kg):- Calculate that it is 35 kg / kg. Note that the disposal cost of dust is usually negative, but in other cases, it may be negative in a state commonly called reverse payment.

The arithmetic unit 2 calculates the selling / disposal cost from the information as follows.

Sale / disposal cost = Σ (unit price × quantity) = Σ (300 × 1, 200 × 1, 5 × 3, 15 × 0.5, 20 × 2, 4 × 1.98, 16 × 0.95, 8 × 8,- (35 x 2.07) = 577.17 \ In this example, sales and disposal costs are treated as a positive number, but if sales are treated as negative and costs required for disposal are treated as positive, The calculation means is the same, only the value changes.

Subsequently, the arithmetic unit 2 calculates the cost required for the entire process (step 125).

That is, the arithmetic unit 2 calculates the costs required for the entire processing (total values of the above-mentioned disassembly costs, processing costs, and sales / disposal costs) by the following calculations.

In the example shown in FIG. 8, the total processing cost = disassembly cost + processing cost−sale / disposal cost = 136.5 + (595 + 150) −577.17 = 304.33 ￥ Here, sale and disposal costs are subtracted,
This is because the gain on sale was treated as positive when calculating the sale / disposal cost. If the disposal cost is treated as positive, a simple addition is made here. By outputting these values to the output I / F 3, information can be provided to the evaluator.

Subsequently, the arithmetic unit 2 calculates a recyclable ratio (step 126).

That is, the arithmetic unit 2 calculates the sum of the ratio of the material that can be recovered and the ratio of the total mass of the material that has been collected and the material that has been subjected to the dedicated processing by the following calculation.

In the example shown in FIG. 8, the recyclable ratio = (recyclable mass / total mass) × 100 = (recovered mass + recoverable partial mass of dedicated processing product) / total mass × 100 = ( 1.5 + 2 + 3 + 0.5 + 2 + 1.98 + 0.95 + 8 + 0.35) / (1.5 + 2 + 2 + 1 + 1 + 0.5 + 2 + 6 + 10 + 1) × 100 ≒ 75.1 (%) .

Then, the arithmetic unit 2 outputs these values to the output I / F 3 as appropriate (step 108).

As described above, the cost required for the entire process can be calculated by summing up the disassembly cost, the processing cost, and the sale / disposal cost only by inputting the information for specifying the product. Before processing, it is possible to estimate the overall processing cost, for example, to help estimate the commission cost, optimize the winning bid within the profitable range, and process products that require processing costs in your own processing equipment It is possible to make a decision to forego the contract, and to assist the processing company with proper management. In addition, before processing products, we can grasp the material, quality, quantity, etc. that can be collected, so that we can reduce the unit sales price of materials to other processing companies such as material manufacturers, material suppliers, substrates, etc. In some cases, it may be easier to negotiate decisions. In addition, if this calculation is performed on the processed product, it is possible to estimate what should be originally collected, the amount, and the like.
By comparing this value with the value actually collected, it is possible to determine, for example, whether the disassembling operation by the operator is performed properly, whether the equipment is functioning normally, and the like. In addition, for example, by comparing the estimated amount and the actual value of the amount of environmentally harmful chemical substances, it is possible to take measures for environmental management and to respond to an environmental audit.

Further, if this is used by the manufacturer, it is possible to estimate the cost required for the processing of the product, it is possible to calculate an appropriate processing commission, and it is possible to keep the life cycle cost of the product low. Becomes Also,
By preparing a processing facility database for each processing company, for each product, the equipment of which processing company is most efficient (for example, it is determined whether proper processing can be performed at low cost).
It is possible for a processing company to determine where, and by assigning a processing company to outsource processing to each product based on the determination, efficient processing can be performed and the life cycle cost can be reduced. Further, if this calculation is performed on the processed product, it is possible to estimate the material, amount, and the like that should be originally collected. By comparing this value with the value declared to be actually collected, it is possible to determine whether or not the processing company is performing appropriate processing, thereby enabling the processing to be outsourced to a company that performs appropriate processing. Become.

Further, by calculating the recyclable ratio, the processing company can recycle the recyclable product in a case where, for example, a regulation by law is applied, or when a manufacturer who has outsourced the process designates it. It is possible to determine before the processing whether the ratio exceeds the target value. In particular, when there are multiple disassembly procedures, the disassembly time tends to increase as the number of parts to be disassembled increases, but the percentage that can be recycled tends to increase. It is possible to select a processing method with a lower processing cost while securing the possible ratio, that is, while keeping the environmental load in terms of the amount of waste below a certain level.

Further, by using a manufacturer, for example, when deciding a processing outsourcee from among a plurality of processors, a processing facility capable of achieving a target recyclable ratio targeted by the manufacturer is provided. It becomes a guideline for selecting a processing company having the processing, and processing can be entrusted to an appropriate processing company.

The items shown on the right side of the flow in FIG.
Representative information required at each stage is listed.

Next, a procedure for determining a processing order when a plurality of products are processed collectively will be described with reference to FIG.
In particular, an example will be described in which processing priorities are determined based on product demand and the like.

First, information for specifying a product is input by the input I / F 1 (step 101).

Next, the product database 5 is searched based on the input information for specifying the product, and the product is specified.
Then, from the information on the products described in the product database 5, the components, parts, and materials that can be collected by disassembly are read and stored in the storage device 4 (step 13).
1).

Next, from the collected product database 7, the demand for the materials, parts, and components constituting the product read in step 131 is read (step 132), and the demand for the recoverable materials, components, and components is read. It is determined whether or not there is (step 133). For the products for which there is no demand, the priority of the processing is set low, such as holding the stock for the time being or performing the work during the spare time (step 135). It is set so that a product including a material, a part, and a component having demand is processed with priority (step 134). Based on such a setting, a processing order in which processing is performed in the order of higher priority is determined (step 136), and processing is performed based on this (step 137). The demand here is an item of the required time described in the collected product database 7 in FIG. 4, and by ranking the required time (for example, within three days and within one week), the priority of the processing is set. It goes without saying that you can do it.

Further, when assigning priorities, a product order having a higher added value, that is, a product having generally expensive materials, parts, and / or assembled parts, is more efficiently executed by determining a processing order for increasing the priorities. Processing can be performed.

By making this determination before the method of determining a detailed charging sequence described below, a processing company can process used products in consideration of demand. By giving priority to the processing of high-value products, it is possible to perform efficient and business-friendly processing. From a manufacturer's point of view, for example, parts, assemblies,
Aggressive use of materials allows for efficient recycling and disposal of used products so that recycling and disposal of their own products is not more actively addressed by processors.

Next, an example of a method for determining a more detailed input order will be described. For example, consider a case in which 10 products (product (a)) having a decomposition time of 10 minutes and a crushing amount after decomposition of 40 kg are processed by manual decomposition and crushing. The capacity of this processing equipment is one worker, and the crushing capacity is 6 kg /
Minutes. For example, if the operation of the product (a) is continuously performed, a crushing mass of 40 kg comes out every 10 minutes. Since this is 4 kg / min, which is lower than the crushing capacity, it means that the capacity of the crusher has not been fully utilized. On the other hand, when (b) is to be continuously processed, a crushing mass of 60 kg is generated every 5 minutes, which is 12 kg / min, which exceeds the crushing capacity, and after performing the disassembling operation. Products will accumulate on the line. (A) (b)
A more efficient operation can be performed by equipping the product with a line capacity leveling function for introducing the product into the line in such an order that the disassembly time by the operator and the capacity of the crusher are balanced. As the leveling function, for example, a plurality of (b) with a short disintegration time and a large amount of crushing are processed. There is.

Other parameters for determining the priority of a product include, for example, a material having a higher purity when the purity of the material to be recovered changes depending on the composition of the material included in the product. A method of processing products having the configuration at once is also conceivable. For example, if iron and copper, iron and aluminum can be easily separated, but copper and aluminum cannot be easily separated, products made of iron and copper or iron and aluminum should be processed separately. Thus, a method of preventing copper and aluminum from being mixed can be considered.
Here, it is possible to manage the difficulty of separation between each material in the facility by storing the recovery purity when the combination of each material is input into the processing facility database 6 together. The fourth of the database 6 shown in FIG.
The column is this item.

In this way, when the used product is recycled or disposed of, the loading sequence determination function for leveling the work load is provided, so that the processing can be performed without overload or play for each work. , For a processor,
The efficiency of recycling and disposal of used products is improved.

Here, when estimating the work procedure, for example, what margin rate each processing facility is operating is determined by the following equation: Facility margin = (1−input amount / capacity) × 100
(%). As a result, it is possible to estimate in advance how the load on each facility is distributed, and it is possible to use the information for efficiently determining a work procedure.

[0094] As a specific calculation method, it can be obtained from the amount that has been or is to be introduced into the facility within a certain period of time and the capacity of the facility. For example, if we look at the case of processing the above two types of products,
For example, when only the product of (b) is continuously processed, the necessary amount of crushing exceeds the capacity of the crushing equipment. In this case, for example, during 10 minutes, The input amount is (B) 2 units, 120 kg, the equipment capacity is 6 kg /
60 kg / 10 minutes, and the equipment margin = (1− (120/60)) × 100 = −1
00 (%). Here, a negative value indicates that the input amount or the input amount is excessive with respect to the capacity of the facility. Here, taking the case where the product of (a) is continuously supplied, for example, during 20 minutes, the input amount is (a) 2 units, 80 kg, the facility capacity is 6 kg / min,
120 kg, equipment margin = (1- (80/120)) x 100 = 3
3.3 (%), and there is a margin of about 33% for the capacity of the equipment.
In other words, it can be seen that only 67% of the capacity of this facility has been fully utilized. That is,
In the case where only the product of (a) is processed, the work of the previous stage, that is, the disassembly work, may be improved by 1.5 times. For this purpose, for example, processing such as putting in 1.5 people for disassembly or arranging personnel having 1.5 times the work efficiency can be considered. Such processing is performed for each process, and finally, appropriate workers and workers can be assigned to all the processes.
In this way, while increasing the operation rate of the equipment, it is also possible to calculate the optimal number of workers required for processing by allocating who or how many workers to which work, and thereby increasing the effective number of workers. This makes it possible to reduce processing costs by reducing labor costs by improving personnel efficiency.

Next, a method of determining an optimum processing method from among a plurality of processing methods in determining a processing method of a used product will be described with reference to FIG.

The processing (steps 101, 141, 142) up to calculation of various indices such as the cost required for the processing, the quantity and quantity of the collected product, and the recyclable ratio is the same as that in the above-described embodiment, so that the description is omitted. .

In the present embodiment, it is determined whether or not the index calculated in this way is optimal, for example, such that the cost required for processing is the smallest among the calculated disassembly procedures (step 143). .

If the value is optimal, the optimal value is updated and stored (step 144). If the value is not optimal, the optimal value is left as it is. This calculation process is repeated for all the disassembly procedures stored in the product database 5 (steps 145 and 146). When all the disassembly procedures are completed, the optimum value is output to the output I / F 3 (step 108).

According to this function, the evaluator automatically determines the optimum processing method for the product based on the processing equipment and the demand trend of the latest collected product from the plurality of disassembly procedures. Can be determined
This enables the processing company to efficiently recycle and dispose of used products.

Next, in deciding the processing method of the used product, a method of deciding an optimum processing method from among a plurality of processing methods under a certain condition is shown in FIG.
3 will be described.

Information for specifying a product is input using the input I / F 3 (step 101).

Next, for example, a condition that the recyclable rate becomes equal to or more than a specified value is input (step 151). This condition may be stored in the system once input and then read out (step 15).
2). These conditions are stored in the storage device 4. The condition does not need to be one, and two or more target values may be determined.

Next, in the same manner as in the above-described embodiment, for each of the disassembly procedures read from the product database 5, various indices such as the cost required for processing, the quantity and quantity of collected products, and the recyclable ratio are calculated. (Step 14
1, 142).

Next, it is determined whether or not the calculated index satisfies the previously set or read target value (step 153). If the target value is not met here,
Assuming that the disassembly procedure cannot be selected, the process proceeds to the calculation of the next disassembly procedure (step 146). If the target value is satisfied, it is determined whether the calculated index is optimal, for example, the cost required for processing is the smallest among the disassembly procedures that have completed the calculation and satisfied the target value. (Step 143). If the value is optimum, the optimum value is updated and stored (Step 144). If the value is not optimum, the optimum value is left as it is. This calculation process is repeated for all the disassembly procedures stored in the product database 5 (steps 145 and 146). When all the disassembly procedures are completed, the optimum value is output to the output I / F 3 (step 108).

In this embodiment, for example, if a condition is set as a target value such that the recyclable ratio is equal to or more than a certain value, the environmental load is reduced to a certain level or less from the viewpoint of the amount of waste. In this state, it is possible to automatically select, for example, a procedure with the lowest processing cost.

If there is no disassembly procedure that satisfies a certain condition, there is a countermeasure such as displaying a message to that effect or performing a process for relaxing the certain condition.
For example, the condition items and numerical values are displayed, and the evaluator relaxes and recalculates them, so that an optimal procedure under certain conditions can be obtained.

According to this function, the evaluator uses the processing equipment and the latest trend in the demand for recovered products from among a plurality of disassembly procedures, and at that time,
It is possible to automatically determine the optimal processing method under conditions that meet certain requirements, so that the processing company can, for example, set the target value required by the contracted manufacturer, or It is possible to more efficiently recycle and dispose of used products after satisfying target values to be performed.

Next, an outline of a method of calculating an environmental load generated at the time of recycling and disposal from information for specifying a product will be described with reference to FIG.

Information for specifying a product is input by the input I / F 1 (step 101), and necessary data is searched and read from various databases as described above (step 14).
1).

Next, the material composition is totalized from the read data (step 161). Further, the contents of each processing in the processing procedure determined by the above procedure are also totaled (step 162).

Subsequently, the environmental load for each material is searched and read out from the collected product database 7, and is combined with the totaled material composition to calculate the environmental load for each material (step 163). Note that this includes the environmental burden related to landfilling of dust. Subsequently, the information provided to the environment by each processing facility recorded in the processing facility database 6 is searched and read out, and this is combined with the totalized processing content to calculate the environmental load in the processing content (step 164). The sum is summed up as an environmental load when the used product is recycled and discarded (step 165), and output by the output I / F 3 (step 108). Further, in order to calculate the environmental load over the lifetime of each product, a basic database in which the environmental load over the life cycle is separately registered is prepared, and the product database 5 is generated when the product is manufactured, sold, and used. The average environmental load values recorded are recorded, and by summing up these values, the environmental load over the lifetime of the product can be obtained.

Finally, FIG. 15 shows an overall image of the present invention.

According to the present invention, according to the present invention, the user inputs part or all of the information such as the model number, type, maker, year, and specification of the product for specifying the product.
The information that can be collected after processing is collected and processed by the arithmetic unit to search, read, and calculate the information on the product, information on the processing equipment, and the contents of the database that stores the information on the collected items. Information for processing companies such as quality and quantity of collected materials, cost required for processing, environmental load caused by processing, equipment operation rate such as equipment margin rate and staffing, etc., can be collected after processing. It is possible to derive information for manufacturers such as goods, quantities, costs required for processing, and environmental loads caused by processing. At this time, for example, a plurality of processing companies, not a single company, cooperate with each other to perform a process that they are good at or specialize in cooperation with each other, so that a combination of optimum companies can be selected.

[0114]

According to the present invention, a processing company can perform efficient processing, estimate the cost required for processing before performing processing, and determine a processing commission price that can secure appropriate profit. It is possible to contribute to the proper management of the processing company. In addition, by comparing the estimated data and quantity of collected items with the actually collected items and quantities, it is possible to determine whether proper processing is being performed and whether the equipment is operating normally. In addition, the business management of the processing company itself can be performed, and accordingly, it is possible to cope with the environmental audit.

Further, according to the present invention, the manufacturer can outsource the processing to the processing company at an appropriate price. It is possible to monitor whether proper processing is being performed, and it is possible to easily manage the recycling and disposal of used products by the responsibility of the manufacturer.

[Brief description of the drawings]

FIG. 1 is a conceptual diagram of an entire processing apparatus according to the present invention.

FIG. 2 is an example of a product database according to the present invention.

FIG. 3 is an example of a processing facility database according to the present invention.

FIG. 4 is an example of a collected product database according to the present invention.

FIG. 5 is a flowchart showing an outline of the entire process in the present invention.

FIG. 6 is an example of an input screen according to the present invention.

FIG. 7 is a flowchart showing an outline of a calculation process in the present invention.

FIG. 8 is an example of an evaluation product according to the present invention.

FIG. 9 is a flowchart of a processing order determination procedure according to the present invention.

FIG. 10 is an example of a processing facility database according to the present invention.

FIG. 11 is an example of a processing facility database according to the present invention.

FIG. 12 is a flowchart for determining an optimal processing procedure in the present invention.

FIG. 13 is a flow chart for determining a conditional optimal processing procedure in the present invention.

FIG. 14 is a flowchart of environmental load calculation according to the present invention.

FIG. 15 is an image diagram in the present invention.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... Input I / F, 2 ... Calculation device, 3 ... Output I / F, 4 ... Storage device, 5 ... Product database, 6 ... Processing equipment database, 7 ... Recovery product database, 8 ... External connection device, 9 ...
External database, 10: washing machine, 101: product name input, 102: facility information input, 103: facility information read, 104: collected product information input, 105: collected product information input, 106: product information search / read, 107 ... Calculation,
108: Result display, 121: Disassembly cost calculation, 122: Processing cost calculation, 123: Collection item and quantity calculation, 124: Sale and disposal cost calculation, 125: Total processing cost calculation, 126: Recyclable ratio calculation, 131 … Contained parts judgment, 1
32: reading required parts, 133: determining required parts, 134 ...
Priority processing, 135 ... stock or spare time processing, 136 ...
Processing order determination, 137 processing, 141 product database processing equipment database collected product database search and reading, 142 cost recovered product calculation, 143 optimal check, 144 optimal value update, 145 processing plan end determination,
146: Read next processing plan, 151: Input target value, 15
2: Target value read, 153: Target value achievement confirmation, 161
... Material composition totaling, 162. Processing procedure totaling, 163 .. Material environmental load calculation, 164. Processing environmental load calculation, 165
… Total environmental impact

Claims (16)

[Claims] 1. A step of inputting information capable of specifying a product such as a name, a maker, a model, and a model number of a product to be processed, information on a product to be processed, information on equipment to be processed, Providing a database that records information on collected items, reading the contents of the database, selecting a procedure that can process the input product from the input content and the content of the read database, and retrieving the input product. What can be recovered after processing, the quality of the recovered material,
Estimating and outputting all or a part of the equipment operation information such as the amount of the collected material, the cost required for the processing, the environmental load caused by the processing, the margin of the equipment and the arrangement of workers, and the like. A featured support method for used products. 2. A step of inputting information capable of specifying a product such as a name, a maker, a model, and a model number of a product to be processed, a step of inputting information on equipment to be processed, and a product to be processed. Providing a database that records information on collected items and information on collected items, reading the contents of the database, selecting a procedure capable of processing the input product from the input contents and the read contents of the database, If the processed product is processed according to the selected processing procedure, what can be recovered after processing, the quality of the recovered product,
And estimating and outputting all or a part of the equipment operation information such as the amount of the collected material, the cost required for the processing, the environmental load caused by the processing, the margin of the equipment, and the arrangement of the workers. A featured support method for used products. 3. A step of inputting information that can specify a product such as a name, a maker, a model, and a model number of a product to be processed, a step of inputting information on a collected product, and information on a product to be processed. A step of reading out the contents of the database, and a step of selecting a procedure capable of processing the inputted product from the inputted contents and the contents of the read out database. If the processed product is processed according to the selected processing procedure, what can be recovered after processing, the quality of the recovered product,
And estimating and outputting all or a part of the equipment operation information such as the amount of the collected material, the cost required for the processing, the environmental load caused by the processing, the margin of the equipment, and the arrangement of the workers. A featured support method for used products. 4. A step of inputting information capable of specifying a product such as a name, a maker, a model, and a model number of a product to be processed, a step of inputting information on equipment to be processed, and a step of inputting information on a recovered product. An input step and a database that records information on products to be processed are provided. A step of reading the contents of the database is selected. From the input contents and the read contents of the database, a procedure capable of processing the input product is selected. Steps, what can be collected after processing when the input product is processed based on the selected processing procedure, the quality of the recovered material,
And estimating and outputting all or a part of the equipment operation information such as the amount of the collected material, the cost required for the processing, the environmental load caused by the processing, the margin of the equipment, and the arrangement of the workers. A featured support method for used products. 5. The method according to claim 1, further comprising the steps of: sequentially collecting data of the stored database from the outside; and adding or updating the stored database based on the collected data. A featured support method for used products. 6. In the step of selecting a processable procedure of the processing support method, an optimal processing procedure is selected, for example, such that the processing cost is the lowest or the ratio of reusable materials is the highest. And processing the used product. 7. In the step of selecting an optimum processing procedure of the processing support method, for example, an optimum processing in which a processing cost is the lowest, within a range in which a ratio of reusable materials satisfies a specified fixed level. A method for supporting the processing of a used product, comprising a step of selecting and outputting a procedure. 8. All of the items that can be collected after the processing by the processing support method, the quality of the collected items, the amount of the collected items, the cost required for the process, the environmental load caused by the process, and the operation information of the facilities and workers. Or the step of estimating and outputting a part includes a step of automatically classifying and estimating and outputting for each input product name, for each manufacturer, for each year, or for each model number. How to support the disposal of used products. 9. The information on a product to be processed, which is required as a database for executing the processing support method, is data which can specify a product such as a name, a maker, a model, and a model number of the product to be processed. Based on, one or more processing procedures, the processing costs required to implement those processing procedures, and the collected products after processing,
A processing support method for a used product, which includes information such as quantity and quality. 10. Information on processing equipment required as a database or input information for executing the processing support method includes a processing range of each processing equipment, an operation cost or unit price required for processing, and energy required for operation. Or the processing facilities and processing, such as the magnitude of the environmental load caused by operation, what can be recovered after processing, the quality of the recovered material, and the amount of the recovered material, the personnel that can be input into the processing facility, and the capabilities of each worker A method for supporting the disposal of a used product, comprising information on personnel that can be put into the facility. 11. Information on collected items required as a database or input information for executing the above-mentioned processing support method is the quality and quantity of items, parts, materials, etc. that can be collected from a processing facility. A method for supporting the processing of used products, which includes transaction information such as a pick-up price, a desired supply time, a desired supply amount, and the like, and a magnitude of environmental load for each material. 12. An input device for inputting information capable of specifying a product such as a name, a maker, a model, and a model number of a product to be processed, information on a product to be processed, and information on equipment to be processed. , A database that records information about collected items, a storage device that records input information and calculated information, and calculations that perform various searches, judgments, and calculations based on the input information and the contents read from the database. An apparatus for processing used products, comprising: a device; and an output device for displaying input information and calculation results. 13. An information input device for inputting information on a product to be processed, such as a product name, a maker, a model, a model number, etc., an input device for inputting information on equipment to be processed, and information on a product to be processed. , A database that records information about collected items, a storage device that records input information and calculated information, and calculations that perform various searches, judgments, and calculations based on the input information and the contents read from the database. An apparatus for processing used products, comprising: a device; and an output device for displaying input information and calculation results. 14. An input device for inputting information capable of specifying a product such as a name, a maker, a model, a model number, and the like of a product to be processed, information about a collected product, information on a product to be processed, Performs various searches / judgments / calculations based on input information and contents read from the database, as well as a database that records information about the equipment that performs processing, a storage device that records input information and calculated information. A processing support device for a used product, comprising: a calculation device; and an output device for displaying input information and calculation results. 15. An input device for inputting information capable of specifying a product such as a name, a maker, a model, a model number, etc. of a product to be processed, information on a facility to be processed, and information on a collected product. Performs various searches / judgments / calculations based on the database that records information on the target product, the storage device that records the input information and the calculated information, and the input information and the contents read from the database. A processing support device for a used product, comprising: a calculation device; and an output device for displaying input information and calculation results. 16. The apparatus according to claim 12, further comprising a function of accessing an external database, a function of collecting updated information, and a function of updating / adding a database based on the collected information. Equipment for processing used products.