A catering food supply chain management system

Abstract

The present invention discloses a catering food supply chain management system, which includes a supply information collection module, a food comprehensive analysis module, a supply relationship comparison module, a monitoring and analysis module, a commodity supply analysis module, and a supply chain information output module. The present invention relates to the technical field of catering food supply management, and solves the technical problem that the actual situation and the data of the food itself are not combined for comprehensive analysis, which will further lead to unreasonable procurement and affect the overall supply chain. The present invention analyzes catering food according to seasonal information and comprehensively analyzes according to the quantity of catering food. During the analysis process, seasonal food and off-season food are analyzed respectively. Through comprehensive supply records based on the actual situation of the food itself, appropriate supply management is carried out. At the same time, suppliers are analyzed, and appropriate suppliers are selected in combination with the actual situation of catering food, so as to ensure the stable operation of the overall supply chain.

Description

Technical Field

[0001] The present invention relates to the technical field of catering food management, and specifically to a catering food supply chain management system. Background Art

[0002] The catering food industry is a special industry, which is related to the quality of daily life, so there are extremely high requirements for shelf life, hygiene conditions, storage conditions, etc.

[0003] According to the patent with the application number CN202311091176.8, this patent includes a food storage node matching unit, a food supply label generating unit, and a food supply label parsing unit; the food storage node matching unit is used to obtain the production information of food and match the corresponding storage node according to the production information of the food; the food supply label generating unit is used to obtain the storage information of the food at the storage node and generate the corresponding food supply label; the food supply label parsing unit is used to parse the food supply label and eliminate the food with abnormal food supply labels.

[0004] The above patent collects the production information of food and the working information of the storage node, matches the most suitable storage node for the food environment, thereby avoiding the situation of food deterioration caused by improper storage conditions. Secondly, by constructing a label parsing model to parse the supply label, it identifies and eliminates the food with abnormal storage, ensuring that the food in the entire supply chain is fresh and free of deterioration.

[0005] However, when the above patent analyzes the procurement of catering food, it does not analyze based on the data of catering food, and there is an unreasonable procurement situation when purchasing catering food, such as not analyzing the appropriate procurement time and not selecting the appropriate supplier, which will further affect the operation of the overall supply chain. Summary of the Invention

[0006] In view of the deficiencies of the prior art, the present invention provides a catering food supply chain management system, which solves the problem that it does not comprehensively analyze in combination with the actual situation and the data of the food itself, which will further cause unreasonable procurement and affect the overall supply chain.

[0007] To achieve the above objectives, the present invention is realized through the following technical solutions: A catering food supply chain management system, including:

[0008] A supply information collection module, used to obtain supply information and transmit the supply information to the food comprehensive analysis module at the same time;

[0009] The food comprehensive analysis module is used to analyze the obtained supply information. By classifying the supplied foods according to food types, obtaining the remaining quantity and shelf life duration of the supplied foods, further calculating the predicted duration of the supplied foods, and integrating the predicted duration with the remaining quantity and shelf life duration to generate food information, and then transmitting the food information to the supply relationship comparison module;

[0010] The supply relationship comparison module is used to analyze the obtained food information of the analysis object. At the same time, obtain the transmitted supply records, comprehensively analyze and judge the two, classify the supplied foods into in-season objects and off-season objects, then calculate the remaining demand quantity, compare the remaining demand quantity with the remaining quantity to generate a satisfaction signal or a supply signal, and at the same time transmit the satisfaction signal to the monitoring and analysis module, and transmit the supply signal to the commodity supply analysis module;

[0011] The monitoring and analysis module is used to analyze the obtained satisfaction signal. By monitoring the remaining quantity, calculating the predicted remaining quantity, and comparing the predicted remaining quantity with the preset value to generate a supply signal or a continuous monitoring signal, and transmitting the supply signal to the commodity supply analysis module, and transmitting the continuous monitoring signal to the supply chain information output module;

[0012] The commodity supply analysis module is used to analyze the obtained supply signal. By obtaining the supply price and supply time corresponding to the supplier to generate supplier ranking information, then calculating the required supply quantity of the supplied food, and combining the relationship between the shelf life duration and the remaining duration to generate procurement information, and at the same time combining the procurement information with the supplier ranking information to generate corresponding supply chain information, and then transmitting the supply chain information to the supply chain information output module;

[0013] The supply chain information output module is used to display the obtained supply chain information and continuous monitoring signal to the operator.

[0014] As a further solution of the present invention: The specific way for the food comprehensive analysis module to analyze the supply information is as follows:

[0015] Obtain the remaining foods, classify the remaining foods to obtain food classification information, determine the analysis object at the same time, obtain the remaining quantity S and shelf life duration Tb of the analysis object, and calculate the remaining duration T1 of the analysis object according to the production time;

[0016] Obtain the current weather factors, judge the relationship between the analysis object and the current weather factors, further obtain the corresponding influence factor a1 according to big data analysis, then calculate the predicted duration, and the calculation formula is Tc = T1 * a1, integrate the predicted duration with the remaining quantity to generate food information, and at the same time transmit the food information to the supply relationship comparison module.

[0017] As a further solution of the present invention: The specific way for the supply relationship comparison module to classify the supplied foods according to food information is as follows:

[0018] Obtain all order information within the time period t according to the supply record, and at the same time obtain the seasonal information corresponding to the order information, and classify the analysis object as a seasonal object or an off-season object.

[0019] As a further solution of the present invention: The specific way for the supply relationship comparison module to analyze the seasonal object and the off-season object is as follows:

[0020] Obtain the seasonal information and obtain the demand quantity of the corresponding seasonal object, denoted as Lx. Then compare the remaining quantity S of the analysis object, obtain the supplied duration Tg of the analysis object, and calculate the supply quantity per unit time according to the seasonal information, denoted as Lg. Calculate the remaining demand quantity L1 according to the formula L1 = Lx - Tg * Lg;

[0021] Then compare the remaining quantity S of the analysis object with the remaining demand quantity L1. When the remaining demand quantity L1 is greater than the remaining quantity S, it means that the remaining quantity S of the analysis object does not meet the supply demand, and a supply signal is generated. On the contrary, when the remaining demand quantity L1 is less than the remaining quantity S, it means that the remaining quantity S of the analysis object meets the supply demand, and a satisfaction signal is generated;

[0022] Similarly, analyze the off-season object to obtain a satisfaction signal or a supply signal.

[0023] As a further solution of the present invention: The specific way for the monitoring and analysis module to analyze the satisfaction signal is as follows:

[0024] Monitor the remaining quantity S of the analysis object, and at the same time obtain the prediction duration Tc. Then obtain the remaining quantity corresponding to 20% Tc of the remaining prediction duration, denoted as the predicted remaining quantity, and compare it with the preset value. When the predicted remaining quantity is greater than the preset value, it means that the minimum standard can be met, and a continuous monitoring signal is generated. On the contrary, when the predicted remaining quantity is less than the preset value, it means that the minimum standard cannot be met, and a supply signal is generated.

[0025] As a further solution of the present invention: The specific way for the commodity supply analysis module to generate the supplier ranking information is as follows:

[0026] Label all suppliers as i, and i = 1, 2,..., j. At the same time, obtain the supply price and supply time corresponding to the supplier, and denote the supply price corresponding to the supplier i as Ui. Then sort them in ascending order according to the supply price Ui to obtain the supplier ranking information.

[0027] As a further solution of the present invention: The specific way for the commodity supply analysis module to analyze the supply signal is as follows:

[0028] Obtain the remaining quantity S and unit consumption Lg of the analysis object, then calculate the remaining duration T2 according to the formula T2 = S / Lg * q, obtain the seasonal duration Ty corresponding to the supply record, and at the same time obtain the shelf life duration Tb corresponding to the analysis, and calculate the total required supply Tg * Lg according to the remaining supplied duration Tg;

[0029] Compare the shelf life duration Tb of the analysis object with the remaining duration T2. When the shelf life duration Tb is greater than the remaining duration T2, take a one-time purchase measure and generate corresponding purchase information. When the shelf life duration Tb is less than the remaining duration T2, take a segmented purchase measure and generate purchase information.

[0030] As a further solution of the present invention: The specific way for the commodity supply analysis module to generate supply chain information by integrating purchase information and supplier ranking information is as follows:

[0031] When the purchase information is a one-time purchase, obtain the total required supply Tg * Lg corresponding to the one-time purchase. At the same time, obtain the supply time Ti of supplier i respectively and compare the supply time Ti with the remaining duration T2. At the same time, screen the suppliers with Ti ≤ 70% T2 and denote them as preselected suppliers i1. Then comprehensively consider the supply price Ui1 of the preselected suppliers i1, and screen the preselected supplier i1 with the smallest supply price as the selected object. At the same time, screen two preselected suppliers in ascending order of the supply price Ui1 of the preselected suppliers i1 as alternative objects. Then generate supply chain information, and finally transmit the supply chain information to the supply chain information output module;

[0032] When the purchase information is segmented purchase, it is the same as the analysis method of one-time purchase.

[0033] The present invention provides a catering food supply chain management system. Compared with the prior art, it has the following

[0034] Beneficial effects:

[0035] The present invention analyzes catering food according to seasonal information and comprehensively analyzes according to the quantity of catering food. During the analysis process, it analyzes seasonal food and out-of-season food respectively, and conducts appropriate supply management by comprehensively considering the actual situation of the food itself and the supply record. At the same time, it analyzes the suppliers and selects appropriate suppliers in combination with the actual situation of catering food, so as to ensure the stable operation of the overall supply chain. Description of the Drawings

[0036] Figure 1This is the system principle block diagram of the present invention. Specific embodiments

[0037] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0038] Please refer to Figure 1 , this application provides a catering food supply chain management system, including: a supply information collection module, a food comprehensive analysis module, a supply relationship comparison module, a monitoring and analysis module, a commodity supply analysis module, and a supply chain information output module.

[0039] As Embodiment 1 of the present invention

[0040] The supply information collection module is used to obtain supply chain information and simultaneously transmit the supply chain information to the food comprehensive analysis module. Among them, the obtained supply information includes: supplied food, order quantity, and remaining quantity. And the supplied food includes its corresponding shelf life and food attributes. Specifically, the food attribute is expressed as the degree of relationship with the current season, specifically embodied as in-season food or out-of-season food.

[0041] The food comprehensive analysis module is used to analyze the obtained supply information, and the specific analysis method is as follows:

[0042] Obtain the remaining food, and at the same time classify the remaining food to obtain food classification information. Here, the food classification information is expressed as classification according to the types of food, such as bread, chocolate, fruits, etc. And obtain any type of food for analysis, and at the same time use the obtained food as the analysis object;

[0043] Obtain the remaining quantity S and the shelf life duration Tb of the analysis object, and calculate the remaining duration T1 of the analysis object according to the production time. At the same time, obtain the current weather factors, judge the relationship between the analysis object and the current weather factors, and further obtain the corresponding influence factor a1 according to big data analysis. Then calculate the predicted duration, and the calculation formula is Tc = T1 * a1. Integrate the predicted duration with the remaining quantity to generate food information, and at the same time transmit the food information to the supply relationship comparison module.

[0044] The supply relationship comparison module is used to analyze the obtained food information of the analysis object, and at the same time obtain the transmitted supply records, and comprehensively analyze and judge the two. The specific analysis and judgment method is as follows:

[0045] All order information within the time period t is obtained according to the supply record, and at the same time, the seasonal information corresponding to the order information is obtained. The specific seasonal information is expressed as the month in the current time period, and the month refers to the Gregorian calendar month. Then, the relationship between the analysis object and the seasonal information is judged and analyzed, and the analysis object is classified into a seasonal object or an off-season object, and both are analyzed separately;

[0046] When the analysis object is a seasonal object, the seasonal information is obtained and the corresponding demand quantity of the seasonal object is recorded as Lx. Here, the demand quantity Lx is expressed as the total quantity corresponding to the entire seasonal time. Then, the remaining quantity S of the analysis object is compared, and the specific comparison method is as follows:

[0047] The supplied duration of the analysis object is obtained and recorded as Tg, and the supply quantity per unit time is calculated according to the seasonal information and recorded as Lg. The remaining demand quantity L1 is calculated according to the formula L1 = Lx - Tg * Lg. Then, the remaining quantity S of the analysis object is compared with the remaining demand quantity L1. When the remaining demand quantity L1 is greater than the remaining quantity S, it means that the remaining quantity S of the analysis object does not meet the supply demand, and a supply signal is generated. On the contrary, when the remaining demand quantity L1 is less than the remaining quantity S, it means that the remaining quantity S of the analysis object meets the supply demand, and a satisfaction signal is generated;

[0048] Similarly, the off-season object is analyzed to generate a supply signal or a satisfaction signal, and the generated supply signal is transmitted to the commodity supply analysis module, and the satisfaction signal is transmitted to the monitoring analysis module.

[0049] The monitoring analysis module is used to analyze the obtained satisfaction signal, and the specific analysis method is as follows:

[0050] The remaining quantity S of the analysis object is monitored, and at the same time, the prediction duration Tc is obtained. Then, the remaining quantity corresponding to 20% Tc of the remaining prediction duration is obtained and recorded as the predicted remaining quantity, and it is compared with the preset value. The value of the preset value is set by the operator himself. When the predicted remaining quantity is greater than the preset value, it means that the minimum standard can be met, and a continuous monitoring signal is generated. On the contrary, when the predicted remaining quantity is less than the preset value, it means that the minimum standard cannot be met, and a supply signal is generated;

[0051] For the generated continuous monitoring signal, it is directly transmitted to the supply chain information output module, and for the generated supply signal, it is transmitted to the commodity supply analysis module.

[0052] As the second embodiment of the present invention, it is implemented on the basis of the first embodiment, and the difference from the first embodiment is as follows.

[0053] A commodity supply analysis module is used to analyze the obtained supply signals. Here, the supply signals include the supply signals transmitted by the supply relationship comparison module and the supply signals transmitted by the monitoring and analysis module. Specifically, the analysis is mainly based on the supply signals transmitted by the supply relationship comparison module, and the specific analysis method is as follows:

[0054] All suppliers are numbered as i, where i = 1, 2,..., j. At the same time, the supply price and supply time corresponding to the suppliers are obtained. Here, the supply time is the fastest supply time analyzed according to the required supply and demand volume. When analyzing it, the required supply and demand volume is the independent variable, and the supply price corresponding to supplier i is denoted as Ui. Then, they are sorted in ascending order according to the supply price Ui to obtain the supplier sorting information;

[0055] Then, the remaining quantity S and unit consumption Lg of the analysis object are obtained. Then, the remaining duration T2 is calculated according to the formula T2 = S / Lg * q, and the corresponding seasonal duration of the supply record is denoted as Ty. At the same time, the shelf life duration corresponding to the analysis is denoted as Tb, and the total required supply Tg * Lg is calculated according to the remaining supplied duration Tg;

[0056] Compare the shelf life duration Tb of the analysis object with the remaining duration T2. When the shelf life duration Tb is greater than the remaining duration T2, a one-time purchase measure is taken and the corresponding purchase information is generated. When the shelf life duration Tb is less than the remaining duration T2, a segmented purchase measure is taken and the purchase information is generated. The specific segmented purchase measure is as follows:

[0057] The total required supply Tg * Lg is evenly divided into two equal parts. Then, the purchase is made according to the single - portion quantity of (Tg * Lg) / 2, and the analysis object after purchase is monitored.

[0058] Then, the supplier sorting information and the purchase information are comprehensively analyzed, and the specific analysis method is as follows:

[0059] When the procurement information is for one-time procurement, the total required supply volume Tg*Lg corresponding to the one-time procurement is obtained. At the same time, the supply time of supplier i is obtained and denoted as Ti, and the supply time Ti is compared with the remaining duration T2. Suppliers with Ti ≤ 70%T2 are screened and denoted as preselected suppliers i1. Then, the supply prices Ui1 of the preselected suppliers i1 are integrated, and the preselected supplier i1 with the lowest supply price is selected as the selected object. At the same time, two preselected suppliers are screened in ascending order of their supply prices Ui1 as alternative objects. Then, the supply chain information is generated, and finally, the supply chain information is transmitted to the supply chain information output module. Specifically, when selecting the supply price, after selecting the supplier with the lowest price, the selected supplier is excluded, and the remaining preselected suppliers are selected in ascending order of price.

[0060] When the procurement information is for segmented procurement, in the same way as the analysis method for one-time procurement, the supply chain information is finally generated.

[0061] Combined with the actual analysis, when selecting suppliers, first determine the suppliers that can meet the supply time requirements according to the total required supply volume. For example, there are 5 suppliers who can supply in time within the specified time. Then, compare the prices offered by these 5 suppliers, and select the supplier with the lowest price as the selected object. Then, select alternative suppliers, and the selection criterion is to select them in ascending order of price.

[0062] The supply chain information output module is used to display the obtained supply chain information to the operator.

[0063] As the third embodiment of the present invention, the key lies in combining the implementation processes of the first and second embodiments.

[0064] Some of the data in the above formula are numerically calculated after removing their dimensions, and the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0065] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A catering food supply chain management system, characterized in that: include: The supply information collection module is used to obtain the supply information and transmit the supply information to the food comprehensive analysis module; The food comprehensive analysis module is used to analyze the acquired supply information, classify the supplied food according to the food type, obtain the remaining quantity and shelf life of the supplied food, further calculate the predicted supply time of the food, and integrate the predicted time with the remaining quantity and shelf life to generate food information, and transmit it to the supply relationship comparison module; The supply relationship comparison module is used to analyze the acquired food information of the analysis object, and at the same time acquire the transmitted supply records, and make a comprehensive analysis and judgment on the two, and classify the supplied food into seasonal objects and off-season objects, and then calculate the remaining demand, and compare the remaining demand with the remaining quantity to generate a satisfaction signal or a supply signal, and at the same time transmit the satisfaction signal to the monitoring and analysis module, and transmit the supply signal to the commodity supply analysis module, and the specific method of classifying the supplied food according to the food information is as follows: According to the supply records, all order information within the time period t is obtained, and the season information corresponding to the order information is obtained, and the analysis objects are classified as seasonal objects or off-season objects; The monitoring and analysis module is used to analyze the obtained satisfaction signal, monitor the remaining quantity, calculate the predicted remaining quantity, and compare the predicted remaining quantity with the preset value to generate a supply signal or a continuous monitoring signal, and transmit the supply signal to the commodity supply analysis module, and transmit the continuous monitoring signal to the supply chain information output module; The commodity supply analysis module is used to analyze the acquired supply signal, generate supplier ranking information by acquiring the corresponding supply price and supply time of the supplier, then calculate the required supply quantity of the supplied food, and generate procurement information based on the relationship between the shelf life and the remaining time, and combine the procurement information with the supplier ranking information to generate corresponding supply chain information, and then transmit the supply chain information to the supply chain information output module. The specific method of analyzing the supply signal is as follows: Obtain the remaining quantity S and unit consumption Lg of the analysis object, then calculate the remaining duration T2 according to the formula T2=S / Lg*q, obtain the seasonal duration corresponding to the supply record as Ty, and obtain the corresponding shelf life duration as Tb, and calculate the required total supply Tg*Lg according to the remaining supply duration Tg; Compare the shelf life Tb of the analyzed object with the surplus time T2. When the shelf life Tb is greater than the surplus time T2, a one-time purchase measure is adopted and corresponding purchase information is generated. When the shelf life Tb is less than the surplus time T2, a segmented purchase measure is adopted and purchase information is generated. The specific method of generating supply chain information by integrating procurement information and supplier ranking information is as follows: When the purchase information is a one-time purchase, the total supply quantity Tg*Lg required for the one-time purchase is obtained, and the supply time of supplier i is obtained and recorded as Ti, and the supply time Ti is compared with the remaining time T2, and the supplier corresponding to Ti≤70%T2 is selected and recorded as the pre-selected supplier i1, and then the supply price Ui1 of the pre-selected supplier i1 is comprehensively considered, and the pre-selected supplier i1 corresponding to the smallest supply price is selected as the selected object, and two pre-selected suppliers are selected from the smallest to the largest according to the supply price Ui1 of the pre-selected supplier i1 as the candidate objects, and then the supply chain information is generated, and finally the supply chain information is transmitted to the supply chain information output module; When the purchase information is segmented purchase, the analysis method is similar to that of one-time purchase; The supply chain information output module is used to display the acquired supply chain information and continuous monitoring signals to operators.

2. A catering food supply chain management system according to claim 1, characterized in that: The specific method in which the food comprehensive analysis module analyzes the supply information is as follows: Obtain the remaining food, classify the remaining food to obtain food classification information, determine the analysis object, obtain the remaining quantity S and shelf life Tb of the analysis object, and calculate the remaining time T1 of the analysis object according to the production time; Obtain the current weather factors, determine the relationship between the analysis object and the current weather factors, further obtain the corresponding influencing factor a1 based on big data analysis, then calculate the predicted duration, and the calculation formula is Tc=T1*a1, integrate the predicted duration and the remaining quantity to generate food information, and transmit the food information to the supply relationship comparison module.

3. A catering food supply chain management system according to claim 1, characterized in that: The specific method for the supply relationship comparison module to analyze seasonal objects and off-season objects is as follows: Obtain the seasonal information and the corresponding seasonal object demand, record it as Lx, then compare the remaining quantity S of the analysis object, obtain the supply time of the analysis object, record it as Tg, and calculate the supply quantity per unit time according to the seasonal information, record it as Lg, and calculate the remaining demand L1 according to the formula L1=Lx-Tg*Lg; Then, the remaining quantity S of the analysis object is compared with the remaining demand L1. When the remaining demand L1 is greater than the remaining quantity S, it means that the remaining quantity S of the analysis object does not meet the supply demand, and a supply signal is generated. On the contrary, when the remaining demand L1 is less than the remaining quantity S, it means that the remaining quantity S of the analysis object meets the supply demand, and a satisfaction signal is generated. Similarly, off-season objects can be analyzed to obtain satisfaction signals or supply signals.

4. A catering food supply chain management system according to claim 1, characterized in that: The specific method in which the monitoring and analysis module analyzes the satisfying signal is as follows: The remaining quantity S of the analysis object is monitored, and the predicted time Tc is obtained at the same time. Then, the remaining quantity corresponding to the remaining predicted time of 20%Tc is obtained and recorded as the predicted remaining quantity, and compared with the preset value. When the predicted remaining quantity is greater than the preset value, it means that the minimum standard can be met and a continuous monitoring signal is generated. Conversely, when the predicted remaining quantity is less than the preset value, it means that the minimum standard cannot be met and a supply signal is generated.

5. A catering food supply chain management system according to claim 1, characterized in that: The specific method of the commodity supply analysis module to generate supplier ranking information is as follows: All suppliers are labeled as i, where i=1, 2, ..., j. The supply price and supply time of the supplier are obtained at the same time. The supply price corresponding to supplier i is recorded as Ui, and the suppliers are sorted from small to large according to the supply price Ui to obtain the supplier sorting information.

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