Enterprise production management and control method, system and device

Abstract

The embodiment of the specification discloses a kind of enterprise production control method, system and equipment, method includes: obtaining the influence factor set influencing production process in the enterprise to be controlled;Based on the preset experience database and the preset correlation strength prediction model, the correlation strength value between each influence factor is calculated, to value Construction influence matrix of production process, according to influence matrix, the comprehensive influence matrix of production process is calculated;According to the comprehensive influence matrix, the influence degree and the influenced degree of each influence factor are determined, to obtain the centrality and the reason degree of each influence factor according to the influence degree and the influenced degree, and the first weight value of each influence factor is determined based on centrality and reason degree;The current order to be processed of the enterprise to be controlled is acquired, according to the production type and production process data corresponding to the current order to be processed, the second weight value of each production process is determined;Based on the first weight value, each influence factor, second weight value and production process, the production control of the enterprise to be controlled is carried out.

Description

TECHNICAL FIELD

[0001] The present specification relates to the field of production manufacturing, and in particular, to a production management method, system and device of an enterprise. BACKGROUND

[0002] Manufacturing, especially advanced manufacturing, is a high-tech and high-integration industry related to the lifeblood and safety of the production economy, and is a concentrated embodiment of industrial and technological level and comprehensive strength. Production management is the management and control of the process required for raw materials to be transformed into final products in a manufacturing enterprise. A reasonable and effective production management method can improve the production efficiency of an enterprise, reduce energy consumption, improve product quality, and reduce production costs. Therefore, with the development of the economy, production management is an important link that manufacturing enterprises cannot do without in order to keep pace with the times.

[0003] At present, based on the management personnel in the enterprise or the process personnel in the production workshop, the human management of the production manufacturing process ignores the influence of the influencing factors in the production manufacturing on the production benefit, thereby causing the problem of being unable to effectively improve the production benefit. In order to solve the influence of the influencing factors on the production manufacturing in the prior art, the association rule is used to obtain the association relationship between any two influencing factors, and then the factors that greatly influence the production manufacturing in the influencing factors are analyzed to perform production management. However, this method needs to analyze each influencing factor in turn, and the calculation cost is high, and it is also impossible to consider the influence of different influencing factors in each production process on the production benefit, so the production management effect is poor and a large amount of labor cost is consumed. SUMMARY

[0004] One or more embodiments of the present specification provide a production management method of an enterprise, which is used to solve the technical problem of how to provide a reasonable and efficient production management method of an enterprise.

[0005] One or more embodiments of the present specification adopt the following technical solutions:

[0006] One or more embodiments of the present specification provide a production management method of an enterprise, and the method comprises:

[0007] obtaining a set of influencing factors that influence each production process in a to-be-managed enterprise;

[0008] based on a preset experience database and a preset association strength prediction model of the to-be-managed enterprise, calculating the association strength values between each influencing factor in the set of influencing factors, constructing an influence matrix of the production process according to the association strength values, and calculating a comprehensive influence matrix of the production process according to the influence matrix;

[0009] determine a degree of influence and a degree of being influenced of each of the influence factors according to the comprehensive influence matrix, obtain a centrality and a cause degree of each of the influence factors according to the degree of influence and the degree of being influenced of each of the influence factors, and determine a first weight value of each of the influence factors based on the centrality and the cause degree;

[0010] obtain current to-be-processed orders of the to-be-controlled enterprise, and determine a second weight value of each of the production processes according to production type and production process data corresponding to the current to-be-processed orders;

[0011] based on the first weight value, the influence factors, the second weight value, and the production processes, perform real-time adjustment of a production control strategy for each of the production processes of the to-be-controlled enterprise.

[0012] In one or more embodiments of the present specification, a set of influence factors affecting each production process in a to-be-controlled enterprise is obtained, specifically including:

[0013] obtain production process information included in the to-be-controlled enterprise according to historical production information of the to-be-controlled enterprise;

[0014] determine an efficiency evaluation hierarchy corresponding to each production process according to historical production efficiency data corresponding to each of the production process information, wherein the efficiency evaluation hierarchy is obtained based on expert experience of the to-be-controlled enterprise;

[0015] analyze the efficiency evaluation hierarchy according to a production influence model of the to-be-controlled enterprise to determine initial influence factors corresponding to each of the production processes;

[0016] perform data filtering on the initial influence factors according to current production mechanism data, control mechanism data of the to-be-controlled enterprise, and current technical characteristics of each of the production processes to obtain filtered influence factors;

[0017] constitute a set of influence factors of each of the production processes according to the filtered influence factors; wherein the current technical characteristics are used to determine a technical limitation range of the current production process to filter influence factors that do not belong to the technical limitation range.

[0018] In one or more embodiments of the present specification, based on a preset experience database and a preset correlation strength prediction model of the to-be-controlled enterprise, a correlation strength value between each of the influence factors in the set of influence factors is calculated, and an influence matrix of the production process is constructed according to the correlation strength value, specifically including:

[0019] obtain the number of each of the influence factors in the influence factor set, and represent the association relationship between each of the influence factors according to the number, and construct an influence factor association graph of the production process information according to the association relationship between each of the influence factors;

[0020] quantify the strength of the association relationship between each of the influence factors based on a preset experience database of the enterprise to be controlled, and obtain a first association strength value between each of the influence factors;

[0021] obtain the direct association factors and the indirect association factors of the influence factors through the influence factor association graph, input the association path length of the indirect association factors connected with the direct association factors and the number of the direct association factors into a preset association strength prediction model, and output a second association strength value of the influence factors;

[0022] if the difference between the first association strength value and the second association strength value is greater than the preset difference threshold value, re-quantify the first association strength value;

[0023] if the difference between the first association strength value and the second association strength value is less than the preset difference threshold value, take the first association strength value as the association strength value of the influence factor;

[0024] take the association strength value as an influence relationship element of an initial influence matrix, and construct the initial influence matrix;

[0025] standardize the initial influence matrix based on a preset standardization formula, and obtain an influence matrix of the production process.

[0026] In one or more embodiments of the present specification, a comprehensive influence matrix of the production process is calculated and obtained according to the influence matrix, specifically including:

[0027] perform a consistency judgment on the influence matrix, and if the influence matrix fails the consistency judgment, iteratively calculate the influence matrix;

[0028] if the direct influence matrix passes the consistency judgment, obtain a unit matrix corresponding to the influence matrix;

[0029] calculate and obtain a comprehensive influence matrix of the production process according to the corresponding unit matrix and the influence matrix; wherein the comprehensive influence matrix is T = Q(I-Q) -1 , T represents the comprehensive influence matrix, I represents the corresponding unit matrix, and Q represents the influence matrix of the production process;

[0030] wherein, the consistency judgment on the influence matrix specifically includes:

[0031] The maximum eigenvalue of the influence matrix is calculated based on a preset mode, and a consistency index of the influence matrix is determined based on the maximum eigenvalue and a number of direct influence relationship elements in the influence matrix;

[0032] A preset random consistency index table of the enterprise to be controlled is looked up based on the order of the influence matrix, and a random consistency index corresponding to the influence matrix is obtained;

[0033] A consistency ratio of the influence matrix is determined according to a ratio of the consistency index of the influence matrix and the random consistency index, and if the consistency ratio is less than a preset ratio, the influence matrix passes the consistency judgment.

[0034] In one or more embodiments of the present specification, the influence degree and the influenced degree of each influence factor are determined according to the comprehensive influence matrix, so as to obtain the centrality and the reason degree of each influence factor according to the influence degree and the influenced degree of each influence factor, specifically including:

[0035] The influence degree of the influence factor corresponding to each specified row is determined according to the numerical sum of the elements in each specified row in the comprehensive influence matrix;

[0036] The influenced degree of the influence factor corresponding to each specified column is determined according to the numerical sum of the elements in each specified column in the comprehensive influence matrix;

[0037] The centrality of the corresponding influence factor is determined by summing the influence degree of the corresponding influence factor and the influenced degree of the corresponding influence factor;

[0038] The influence degree of the corresponding influence factor is determined by subtracting the influenced degree of the corresponding influence factor from the influence degree of the corresponding influence factor.

[0039] In one or more embodiments of the present specification, the first weight value of each influence factor is determined based on the centrality and the reason degree, specifically including:

[0040] The centrality is taken as the abscissa, and the reason degree is taken as the ordinate, to construct a causal coordinate system of the production process;

[0041] The centrality and the reason degree of each influence factor are input into the causal coordinate system, to obtain a causal diagram of each production process;

[0042] The importance of the influence factor is determined according to the distribution position of the influence factor in the causal diagram of the production process, and the first weight value of each influence factor is determined based on the importance of each influence factor.

[0043] In one or more embodiments of the present specification, the current to-be-processed order of the to-be-controlled enterprise is obtained to determine the second weight value of each production process according to the production type and production process data corresponding to the current to-be-processed order, and specifically comprises:

[0044] The current to-be-processed order of the to-be-controlled enterprise is obtained to divide the production type into batch production type and customized production type based on the current to-be-processed order;

[0045] If the current to-be-processed order belongs to the batch production type, the target production process data of the current to-be-processed order is determined;

[0046] The production process data of the current production process corresponding to the target production process data in the to-be-controlled enterprise is obtained; the difference between the target process index of the target production process data and the actual process index of the current production process data is determined to determine the key production process corresponding to the current to-be-processed order;

[0047] The target process index of the key production process and the standard process index of the remaining production process are respectively input into a preset production process adapter;

[0048] The production process of each production process in the current to-be-processed order is matched based on the production process adapter to determine the second weight value of each production process based on the production process of each production process;

[0049] If the current to-be-processed order belongs to the customized production order, the target production process of the current to-be-processed order is obtained, and the target production equipment in the to-be-controlled enterprise is obtained according to the target production process;

[0050] The production process of each target production process is determined according to the number of target production equipment corresponding to each target production process and the idle time of the corresponding target production equipment, and the second weight value of each target production process is determined based on the production process.

[0051] In one or more embodiments of the present specification, the production control strategy of each production process of the to-be-controlled enterprise is adjusted in real time based on the first weight value, the influence factor, the second weight value, and the production process, and specifically comprises:

[0052] The key influence factor in the influence factor corresponding to each production process is determined according to the first weight value;

[0053] The key influence factor is adjusted to optimize the index of the production process, so that the actual process index corresponding to the production process is greater than the target process index of the current to-be-processed order.

[0054] determine a key influencing process of each of the production processes according to the second weight value, and obtain production running data of the key influencing process, to determine whether to adjust the production processes of the enterprise to be controlled based on the production running data. One or more embodiments of the present specification provide a production control system for an enterprise, which comprises:

[0055] a first obtaining unit, configured to obtain a set of influence factors affecting each of the production processes;

[0056] a calculation unit, configured to calculate, based on a preset experience database and a preset correlation strength prediction model of the enterprise to be controlled, a correlation strength value between each of the influence factors in the set of influence factors, to construct an influence matrix of the production processes according to the correlation strength value, and to obtain a comprehensive influence matrix of the production processes according to the influence matrix;

[0057] a second obtaining unit, configured to determine, according to the comprehensive influence matrix, an influence degree and an affected degree of each of the influence factors, to obtain a centrality and a reason degree of each of the influence factors according to the influence degree and the affected degree of each of the influence factors, and to determine a first weight value of each of the influence factors based on the centrality and the reason degree;

[0058] a second determining unit, configured to obtain a current order to be processed of the enterprise to be controlled, to determine a second weight value of each of the production processes according to production type and production process data corresponding to the current order to be processed;

[0059] an adjustment unit, configured to perform real-time adjustment of a production control strategy for each of the production processes of the enterprise to be controlled based on the first weight value, the influence factors, the second weight value, and the production processes. One or more embodiments of the present specification provide a production control system device for an enterprise, which comprises a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the device is triggered to perform:

[0060] obtain a set of influence factors affecting each of the production processes of an enterprise to be controlled;

[0061] calculate, based on a preset experience database and a preset correlation strength prediction model of the enterprise to be controlled, a correlation strength value between each of the influence factors in the set of influence factors, to construct an influence matrix of the production processes according to the correlation strength value, and to obtain a comprehensive influence matrix of the production processes according to the influence matrix;

[0062] determine the centrality and the reason degree of each of the influence factors according to the influence degree and the influenced degree of each of the influence factors, and determine the first weight value of each of the influence factors based on the centrality and the reason degree;

[0063] obtain the current to-be-processed order of the to-be-controlled enterprise, and determine the second weight value of each of the production processes according to the production type and the production process data corresponding to the current to-be-processed order;

[0064] based on the first weight value, the influence factors, the second weight value and the production processes, perform real-time adjustment of the production control strategy for each of the production processes of the to-be-controlled enterprise.

[0065] The above at least one technical solution adopted by the embodiments of the present specification can achieve the following beneficial effects:

[0066] By obtaining the influence factors of each production process in the to-be-controlled enterprise, an influence matrix of the production process is constructed, which facilitates the calibration and subsequent calculation of the correlation relationship between the influence factors, and avoids the high calculation cost of determining the correlation relationship based on the correlation rules in the prior art. The comprehensive influence matrix of the production process is calculated according to the influence matrix, which realizes the comprehensive consideration of the influence factors. The centrality and the reason degree of each of the influence factors determined by the comprehensive influence matrix facilitate the discrimination of the importance of the influence factors, and improve the speed and accuracy of the discrimination. The importance of the production process is determined according to the production type and the production process of the current to-be-processed order, so that the production process is adjusted based on the importance of the production process and the important influence factors of each production process, thereby increasing the production efficiency of the enterprise. BRIEF DESCRIPTION OF DRAWINGS

[0067] In order to more clearly illustrate the technical solutions in the embodiments of the present specification or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments described in the present specification, and other drawings can be obtained by those skilled in the art without creative labor. In the drawings:

[0068] Figure 1 A method flowchart of a production control method of an enterprise provided by an embodiment of the present specification;

[0069] Figure 2 An internal structure diagram of a production control system of an enterprise provided by an embodiment of the present specification

[0070] Figure 3An internal structure diagram of a production management and control device of an enterprise is provided in the embodiments of the present specification. DETAILED DESCRIPTION

[0071] The embodiments of the present specification provide a production management and control method, system and device of an enterprise.

[0072] In order to keep up with the pace of the times, cope with fierce market competition and growing personalized demand, manufacturing enterprises should change the traditional production management mode based on artificial management of managers. Only real-time lean management can reduce production cost and improve production efficiency, so that the enterprise can survive and maintain development ability in competition. However, the production management ability of enterprises in the manufacturing industry is still at a low level. In the implementation of the lean production management mode, it is inevitable to have the problem of high cost of calculation and analysis, and the relationship and influence degree between various factors in the production management process are not clear. The influencing factors cannot be effectively added to the adjustment process of production control, so that the management work cannot be effectively and reasonably implemented.

[0073] In order to solve the above problems, the embodiments of the present specification provide a production management and control method, system and device of an enterprise. By determining the influence factors of each production process, an influence matrix of the production process is constructed according to the correlation strength between the influence factors, which avoids the problem that the influence of the influence factors on production management is not fully considered in the prior art, and improves the efficiency of production control. In addition, the influence of each influence factor is comprehensively considered by calculating the influence matrix to obtain a comprehensive influence matrix, which improves the rationality of production benefit management. In addition, the process of judging the weight value of the influence factor according to the influence factor centrality and reason degree saves the calculation cost and improves the efficiency of production management.

[0074] In order to enable personnel in the technical field to better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be described clearly and completely in conjunction with the drawings in the embodiments of the present specification. Obviously, the described embodiments are only part of the embodiments of the present specification, not all. Based on the embodiments of the present specification, all other embodiments obtained by those skilled in the art without creative labor should belong to the scope of protection of the present specification.

[0075] As shown in the drawings, Figure 1 The embodiments of the present specification provide a method flow diagram of a production management and control method of an enterprise. Figure 1 As can be seen, the method comprises the following steps:

[0076] S101: Obtain a set of influence factors affecting each production process.

[0077] In order to fully consider the management and influence degree between various factors, so as to effectively manage and control the production of the enterprise, the embodiment of the specification first acquires the influence factor set influencing each production process in the enterprise to be managed and controlled. It can be understood that the influence factor set at least includes one influence factor.

[0078] In an embodiment of the specification, the influence factor set influencing each production process in the enterprise to be managed and controlled can be realized based on the following mode: first, according to the historical production information of the enterprise to be managed and controlled, the production process information contained in the managed and controlled enterprise is acquired, and then the production process information is judged based on the expert experience to obtain the influence factor influencing the production process.

[0079] In an embodiment of the specification, in order to save the calculation cost, filter unnecessary influence factors and improve the accuracy, the influence factor set influencing each production process in the enterprise to be managed and controlled includes the following steps: first, according to the historical production information of the enterprise to be managed and controlled, the production process information contained in the enterprise to be managed and controlled is acquired. Then, according to the historical production benefit data corresponding to each production process information, the benefit evaluation level corresponding to each production process is determined. It should be noted that the benefit evaluation level is obtained according to the expert experience of the enterprise to be managed and controlled. The benefit evaluation level of each production process is analyzed according to the production influence model of the enterprise to be managed and controlled, and the initial influence factor corresponding to each production process is determined. In order to narrow the range of influence factors, the current production mechanism data, management mechanism data and current technical characteristics of each production process of the enterprise to be managed and controlled are taken as constraint conditions, and the initial influence factor is data filtered to obtain the filtered influence factor. Then, the influence factor set of each production process is constructed based on the filtered influence factor. It can be understood that the current technical characteristics are used to determine the technical limitation range of the current production process, that is, the index that can be reached by the current technology, so as to filter out the influence factors that do not belong to the technical limitation range of the current technical characteristics. By washing the influence factors based on the state of the enterprise to be managed and controlled, the influence factors are more in line with the actual situation of the enterprise to be managed and controlled, which provides a basis for the accuracy and rationality of subsequent analysis.

[0080] S102: Based on the preset experience database and the preset correlation strength prediction model of the enterprise to be managed and controlled, the correlation strength values between the influence factors in the influence factor set are calculated, the influence matrix of the production process is constructed according to the correlation strength values, and the comprehensive influence matrix of the production process is calculated and obtained according to the influence matrix.

[0081] In order to obtain the relationship between various influencing factors and the influence degree, so as to effectively implement the lean management of the enterprise to be controlled. In the embodiment of the present specification, the correlation strength value between each influencing factor in the influencing factor set is calculated, and the influence matrix of the production process is constructed according to the correlation strength value. In order to comprehensively consider the influence matrix obtained by each influencing factor, the comprehensive influence matrix of the production process is calculated.

[0082] Specifically, in one or more embodiments of the present specification, the correlation strength value between each influencing factor in the influencing factor set is calculated to construct the influence matrix of the production process according to the correlation strength, which specifically includes the following process:

[0083] Firstly, the number identification of each influencing factor in the influencing factor set is obtained, and the correlation relationship between each influencing factor is represented according to the number identification. For example: two different influencing factors a i and a j Then according to the number identification of the two influencing factors, i and j respectively, the correlation relationship between the influencing factors can be represented as a ij And the correlation strength value is represented as w ij In order to determine the correlation strength value, firstly, the influencing factor correlation graph of the production process is constructed according to the correlation relationship between each influencing factor. Then, according to the preset experience database based on the expert experience of the enterprise to be controlled, the strength of the correlation relationship between each influencing factor is quantified to obtain the first correlation strength value between each influencing factor. Through the influencing factor correlation graph, the direct correlation factors and indirect correlation factors of the influencing factors are obtained. It can be understood that the direct correlation factors are other influencing factors directly correlated with the influencing factors, and the indirect correlation factors are other influencing factors indirectly correlated with the influencing factors. The correlation path length of the indirect correlation factors connected with the direct correlation factors and the number of the direct correlation factors are input into the pre-trained correlation strength prediction model, and the second correlation strength value of the influencing factor is output. If the difference between the first correlation strength value and the second correlation strength value is greater than the pre-set difference threshold value, the corresponding experience database needs to be re-determined based on the expert experience, so as to quantitatively obtain the first correlation strength value of the influencing factor. If the difference between the first correlation strength value and the second correlation strength value is less than the pre-set difference threshold value, the first correlation strength value is taken as the correlation strength value of the influencing factor. It should be noted that the value range of the correlation strength value is [0, 4], and the influence degree increases in turn within the value range.

[0084] The obtained correlation strength value is taken as the influence relationship element w ij of the initial influence matrix, and the initial influence matrix W is constructed, wherein W = [w ij ] n×n n is the number of influencing factors of the research object, i.e. each production process, when i = j, wij = 0, i.e. the diagonal of the initial influence matrix is 0. After obtaining the initial matrix, it is also necessary to perform preset normalization processing on the initial influence matrix according to a preset normalization formula to obtain the influence matrix of the production process. The preset normalization formula is: Q represents the influence matrix of the production process, q ij represents the direct influence relationship element of the influence matrix of the production process; w ij represents the influence relationship element of the initial influence matrix, i represents one influence factor in the correlation relationship, and j represents another influence factor in the correlation relationship.

[0085] In one or more embodiments of the present specification, the comprehensive influence matrix of the production process is obtained according to the influence matrix, specifically including the following process:

[0086] Due to the limited cognition of individuals to complex things, the judgment matrix obtained by pairwise comparison cannot be completely consistent, and the deviation needs to be controlled within a certain allowable range. If the deviation is large, the evaluation needs to be re-performed. Therefore, the influence matrix is first subjected to consistency judgment. If the influence matrix does not pass the consistency judgment, the influence matrix is iteratively calculated. If the influence matrix passes the consistency judgment, the unit matrix corresponding to the influence matrix is obtained. The comprehensive influence matrix of the production process is obtained according to the corresponding unit matrix and the influence matrix, and the comprehensive influence matrix is T = Q(I-Q) -1 , T represents the comprehensive influence matrix, I represents the unit matrix corresponding to the influence matrix, and Q represents the influence matrix of the production process. It should be noted that the consistency of the influence matrix is judged, specifically including the following process:

[0087] First, the maximum eigenvalue of the influence matrix is calculated according to the preset mode, and the consistency index of the influence matrix is determined based on the maximum eigenvalue and the number of direct influence relationship elements in the influence matrix. Then, according to the order of the influence matrix, the random consistency index table pre-set by the enterprise to be controlled is looked up to obtain the random consistency index corresponding to the influence matrix. Then, the consistency ratio of the influence matrix is determined according to the ratio of the consistency index and the random consistency index. If the consistency ratio is less than the preset ratio, it means that the influence matrix can pass the consistency judgment, otherwise it needs to be re-acquired.

[0088] S103: determining the influence degree and the influenced degree of each influence factor according to the comprehensive influence matrix, obtaining the centrality and the reason degree of each influence factor according to the influence degree and the influenced degree of each influence factor, and determining the first weight value of each influence factor based on the centrality and the reason degree.

[0089] In order to determine the influence degree of each influence factor and ensure effective implementation of lean management, the specification determines the influence degree and the influenced degree of each influence factor through the comprehensive influence matrix. Thus, the centrality and the reason degree of each influence factor are obtained according to the influence degree and the influenced degree of each influence factor. And the first weight value of each factor is determined according to the centrality and the reason degree.

[0090] Specifically, in one or more embodiments of the specification, the influence degree and the influenced degree of each influence factor are determined according to the comprehensive influence matrix, so as to obtain the centrality and the reason degree of each influence factor according to the influence degree and the influenced degree of each influence factor, specifically including:

[0091] According to the numerical sum of the elements in each specified row in the comprehensive influence matrix T, the influence degree of the influence factor corresponding to each specified row is determined, such as: the numerical sum of the i-th row of the matrix T is obtained, and the influence degree f of the i-th factor is obtained. i That is, t ij Each element in the comprehensive influence matrix represents. According to the numerical sum of the elements in each specified column in the comprehensive influence matrix, the influenced degree of the influence factor corresponding to each specified column is determined, such as the sum of the i-th column of the matrix T is obtained, and the influence degree e of the i-th factor is obtained. i That is, By summing the influence degree of the corresponding influence factor and the influenced degree of the corresponding influence factor, the centrality C of the corresponding influence factor is determined. i = f i +e i By subtracting the influence degree of the corresponding influence factor from the influenced degree of the corresponding influence factor, the influence degree R of the corresponding influence factor is determined. i = f i -e i The embodiment of the specification calculates the influence degree and the influenced degree of each influence factor first, and then calculates the centrality and the reason degree of the influence factor, so that the centrality and the reason degree obtained by calculation fully consider the correlation and influence degree between each influence factor.

[0092] In one or more embodiments of the present specification, the first weight value of each influencing factor is determined based on the centrality and the reason degree, specifically including the following process: taking the centrality as the abscissa and taking the reason degree as the ordinate, constructing a causal coordinate system of the production process, inputting the centrality and the reason degree of each influencing factor obtained in the above process into the causal coordinate system, thereby obtaining a causal diagram corresponding to each production process. Since the greater the centrality and the greater the reason degree, the more important the factor is. Therefore, according to the distribution position of the influencing factor in the causal diagram of the production process, the importance of each influencing factor can be determined, and the first weight value of each influencing factor is determined based on the importance ranking of each influencing factor. The causal diagram based method more intuitively reflects the relationship and influence degree of each influencing factor, facilitating the determination of the weight of the influencing factor.

[0093] S104: Obtain the current to-be-processed order of the to-be-controlled enterprise, to determine the second weight value of each production process according to the production type and production process data corresponding to the current to-be-processed order.

[0094] Since the products produced by the to-be-controlled enterprise may not be unique, the production process corresponding to different orders and the importance of the production process are also different. In order to further effectively control the production of the to-be-controlled enterprise, the embodiment of the present specification obtains the current to-be-processed order of the to-be-controlled enterprise, and determines the second weight value of each production process according to the production type and production process corresponding to the current to-be-processed order.

[0095] Specifically, in one or more embodiments of the present specification, the current to-be-processed order of the to-be-controlled enterprise is obtained to determine the second weight value of each production process according to the production type and production process corresponding to the current to-be-processed order, specifically including:

[0096] The current to-be-processed order of the to-be-controlled enterprise is obtained to divide the production type into batch production type and customized production type based on the current to-be-processed order. If the current to-be-processed order belongs to the batch production type, the target production process data of the current to-be-processed order is determined. The production process data of the current production process corresponding to the target production process in the to-be-controlled enterprise is obtained, and the difference between the target process index of the target production process data and the actual process index of the current production process data is determined to determine the key production process corresponding to the current to-be-processed order. That is, when the target process index is less than the actual process index and the difference between the two is less than a preset threshold, the production process corresponding to the process is the key production process. Similarly, when the target process index is greater than the actual process index and the difference between the two is less than a preset threshold, the production process corresponding to the process is the key production process. By determining the key production process, it is convenient to focus on the management of the production process prone to process errors or index errors, thereby ensuring the quality of the product in the production process.

[0097] The target process indicators of the obtained key production processes are input into the preset production process adapter, and the standard process indicators of the remaining production processes are input into the preset production process adapter. The production process adapter matches the production process of each production process in the current processing order, to determine the second weight value of the production process based on the production process of each production process. If the current to-be-processed order belongs to a customized production order, the target production process of the current to-be-processed order needs to be obtained, and the target production equipment in the enterprise to be controlled is obtained according to the target production process. The production process of each target production process is determined according to the number of target production equipment corresponding to each target production process and the idle time of the corresponding target production equipment, to determine the second weight value of each target production process based on the production process.

[0098] S105: Based on the first weight value, the influence factors, the second weight value, and the production process, the real-time adjustment of the production control strategy of each production process of the enterprise to be controlled is performed.

[0099] In one or more embodiments of the present specification, the real-time adjustment of the production control strategy of each production process of the enterprise to be controlled is based on the first weight value and the second weight value, which specifically includes: first determining the key influence factor in each production process according to the first weight value, and then adjusting the key influence factor to optimize the indicators of the production process. In order to make the actual process indicators corresponding to the production process greater than the target process indicators of the current to-be-processed order to realize the effective implementation of production control. According to the second weight value, the key influence process of each production process is determined, and the production running data of the key influence process is obtained, to determine whether to adjust the production process of the enterprise to be controlled based on the production running data, thereby improving the production efficiency and reducing the production cost.

[0100] As shown in Figure 2 The one or more embodiments of the present specification provide an internal structure diagram of an enterprise production control system. As Figure 2 can be seen, the system includes:

[0101] The first determination unit 201 is configured to obtain the production process of the enterprise to be controlled, and determine a set of influence factors affecting each production process.

[0102] The computing unit 202 is configured to calculate the correlation strength values between the influence factors in the influence factor set based on the preset experience database of the enterprise to be controlled and a preset correlation strength prediction model, construct an influence matrix of the production process according to the correlation strength values, and obtain a comprehensive influence matrix of the production process according to the influence matrix; the obtaining unit 203 is configured to determine the influence degree and the influenced degree of each influence factor according to the comprehensive influence matrix, obtain the centrality and the causality of each influence factor according to the influence degree and the influenced degree of each influence factor, and determine the first weight value of each influence factor based on the centrality and the causality;

[0103] The second determining unit 204 is configured to obtain a current order to be processed of the enterprise to be controlled, and determine the second weight value of each production process according to the production type and the production process data corresponding to the current order to be processed;

[0104] The adjusting unit 205 is configured to perform real-time adjustment of the production control strategy for each production process of the enterprise to be controlled based on the first weight value, the influence factors, the second weight value, and the production process. Figure 2 As shown in the specification one or more embodiments provide an internal structure diagram of a production control device of an enterprise. As can be seen from Figure 2 The device comprises a memory for storing computer program instructions and a processor for executing program instructions, wherein when the computer program instructions are executed by the processor, the device is triggered to execute:

[0105] Obtain an influence factor set influencing each production process in an enterprise to be controlled;

[0106] Calculate the correlation strength values between the influence factors in the influence factor set based on the preset experience database of the enterprise to be controlled and a preset correlation strength prediction model, construct an influence matrix of the production process according to the correlation strength values, and obtain a comprehensive influence matrix of the production process according to the influence matrix;

[0107] Determine the influence degree and the influenced degree of each influence factor according to the comprehensive influence matrix, obtain the centrality and the causality of each influence factor according to the influence degree and the influenced degree of each influence factor, and determine the first weight value of each influence factor based on the centrality and the causality;

[0108] Obtain a current order to be processed of the enterprise to be controlled, and determine the second weight value of each production process according to the production type and the production process data corresponding to the current order to be processed;

[0109] Based on the first weight value, the influence factors, the second weight value and the production procedure, real-time adjustment of the production control strategy is performed on each production procedure of the enterprise to be controlled.

[0110] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each of the embodiments focuses on the difference from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiments.

[0111] The above describes specific embodiments of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different than the order in which they are recited, and still achieve desirable results. In addition, the processes depicted in the figures do not necessarily require the particular order shown, or sequential order, to achieve the desired results. In certain implementations, multitasking and parallel processing can be advantageous or necessary.

[0112] The above only describes one or more embodiments of the specification, and is not intended to limit the specification. One or more embodiments of the specification can have various modifications and changes for those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of one or more embodiments of the specification shall be included in the scope of the claims of the specification.

Claims

1. A method for controlling enterprise production, characterized in that, The method includes: Obtain the set of factors affecting each production process in the enterprise under control; Based on the preset experience database and preset correlation strength prediction model of the enterprise to be managed, the correlation strength value between each influence factor in the set of influence factors is calculated, so as to construct the influence matrix of the production process according to the correlation strength value, and to calculate the comprehensive influence matrix of the production process according to the influence matrix. The influence degree and the degree of being influenced of each influence factor are determined according to the comprehensive influence matrix. Based on the influence degree and the degree of being influenced of each influence factor, the centrality and causality of each influence factor are obtained. Based on the centrality and the causality, the first weight value of each influence factor is determined. Obtain the current pending orders of the enterprise to be managed, and determine the second weight value of each production process based on the production type and production process data corresponding to the current pending orders; Based on the first weight value, the influencing factors, the second weight value, and the production process, the production control strategy for each production process of the enterprise to be controlled is adjusted in real time. Based on the preset experience database and preset correlation strength prediction model of the enterprise to be managed, the correlation strength value between each influence factor in the set of influence factors is calculated, and the influence matrix of the production process is constructed according to the correlation strength value, specifically including: Obtain the identification number of each of the impact factors in the set of impact factors, and use the identification number to represent the relationship between each of the impact factors, and construct the impact factor relationship map of the production process based on the relationship between each of the impact factors; Based on the preset experience database of the enterprises to be managed, the strength of the correlation between each of the influencing factors is quantified to obtain the first correlation strength value between each of the influencing factors. By using the influence factor correlation map, the direct and indirect correlation factors of the influence factor are obtained. The correlation path length of the indirect correlation factor connected to the direct correlation factor and the number of the direct correlation factor are input into the preset correlation strength prediction model, and the second correlation strength value of the influence factor is output. If the difference between the first correlation strength value and the second correlation strength value is greater than a preset difference threshold, then the first correlation strength value is requantized and obtained. If the difference between the first correlation strength value and the second correlation strength value is less than a preset difference threshold, then the first correlation strength value is used as the correlation strength value of the influencing factor. The correlation strength values ​​are used as the influence relationship elements of the initial influence matrix to construct the initial influence matrix; The initial influence matrix is ​​standardized based on a preset standardization formula to obtain the influence matrix of the production process. Obtain the current pending orders of the enterprise to be managed, and determine the second weight value of each production process based on the production type and production process data corresponding to the current pending orders, specifically including: Obtain the current pending orders of the enterprise to be managed, and classify the production type into batch production type and customized production type based on the current pending orders; If the current pending order belongs to the batch production type, then the target production process data of the current pending order is determined; Obtain the production process data of the current production process in the enterprise to be managed, which corresponds to the target production process data; determine the key production process corresponding to the current order to be processed based on the difference between the target process indicators of the target production process data and the actual process indicators of the current production process data. Input the target process indicators of the key production process and the standard process indicators of the remaining production processes into the preset production process adapter respectively. The production process adapter is used to match the production process of each production step in the current order being processed, so as to determine the second weight value of each production step based on the production process of each production step. If the current pending order belongs to the customized production order, then obtain the target production process of the current pending order, and obtain the target production equipment in the enterprise to be managed based on the target production process; Based on the number of target production equipment corresponding to each target production process and the idle time of the corresponding target production equipment, the production process of each target production process is determined, and a second weight value of each target production process is determined based on the production process.

2. The enterprise production control method according to claim 1, characterized in that, The acquisition of the set of influencing factors affecting each production process in the enterprise under control specifically includes: Based on the historical production information of the enterprise to be managed, obtain the production process information contained in the enterprise to be managed; Based on the historical production efficiency data corresponding to each production process information, the efficiency evaluation level corresponding to each production process is determined; wherein, the efficiency evaluation level is obtained based on the expert experience of the enterprise to be managed. The benefit evaluation level is analyzed based on the production impact model of the enterprise to be managed, and the initial impact factors corresponding to each production process are determined. Based on the current production mechanism data, control mechanism data, and current technical characteristics of each production process of the enterprise to be controlled, the initial influencing factors are screened to obtain filtered influencing factors. The filtered influencing factors form the influencing factor set for each of the production processes; wherein, the current technical features are used to determine the technical limitation range of the current production process in order to filter out influencing factors that do not fall within the technical limitation range.

3. The enterprise production control method according to claim 2, characterized in that, The step of calculating the comprehensive influence matrix of the production process based on the influence matrix specifically includes: A consistency check is performed on the influence matrix. If the influence matrix fails the consistency check, the influence matrix is ​​iteratively calculated. If the influence matrix passes the consistency judgment, then the identity matrix corresponding to the influence matrix is ​​obtained; Based on the corresponding identity matrix and the influence matrix, the comprehensive influence matrix of the production process is calculated; wherein, the comprehensive influence matrix is: T represents the comprehensive influence matrix, I represents the corresponding identity matrix, and Q represents the influence matrix of the production process; Specifically, the consistency judgment of the influence matrix includes: The maximum eigenvalue of the influence matrix is ​​calculated based on a preset method, and the consistency index of the influence matrix is ​​determined based on the maximum eigenvalue and the number of directly influencing elements in the influence matrix. Based on the order of the influence matrix, the preset random consistency index table of the enterprise to be managed is searched to obtain the random consistency index corresponding to the influence matrix. The consistency ratio of the influence matrix is ​​determined based on the ratio of the consistency index of the influence matrix to the random consistency index. If the consistency ratio is less than a preset ratio, the influence matrix passes the consistency judgment.

4. The enterprise production control method according to claim 1, characterized in that, The step of determining the influence degree and affected degree of each influence factor based on the comprehensive influence matrix, and obtaining the centrality and causality of each influence factor based on the influence degree and affected degree of each influence factor, specifically includes: The influence degree of the influence factor corresponding to each specified row is determined based on the sum of the values ​​of the elements in each specified row of the comprehensive influence matrix. Based on the sum of the values ​​of the elements in each specified column of the comprehensive influence matrix, the degree of influence of the influence factor corresponding to each specified column is determined. The centrality of the corresponding influence factor is determined by summing the influence degree of the corresponding influence factor and the degree of influence of the corresponding influence factor. The influence degree of the corresponding influence factor is determined by calculating the difference between the influence degree of the corresponding influence factor and the degree of influence of the corresponding influence factor.

5. The enterprise production control method according to claim 1, characterized in that, The determination of the first weight value of each of the influencing factors based on the centrality and the causality specifically includes: Using the centrality as the horizontal axis and the causality as the vertical axis, a causal coordinate system for the production process is constructed. The centrality and causality of each of the influencing factors are input into the causal coordinate system to obtain the causal diagram of each of the production processes; Based on the distribution of the influencing factors in the cause-effect diagram of the production process, the importance of the influencing factors is determined, and a first weight value for each influencing factor is determined by ranking the influencing factors based on their importance.

6. The enterprise production control method according to claim 1, characterized in that, The real-time adjustment of production control strategies for each production process of the enterprise to be controlled, based on the first weight value, the influencing factors, the second weight value, and the production process, specifically includes: Based on the first weight value, determine the key influencing factors among the influencing factors corresponding to each of the production processes; The production process is optimized by adjusting the key influencing factors so that the actual process indicators corresponding to the production process are greater than the target process indicators of the current pending order. The key impact processes of each production process are determined based on the second weight value, and the production operation data of the key impact processes are obtained, so as to determine whether to adjust the production processes of the enterprise to be controlled based on the production operation data.

7. A control system for enterprise production, characterized in that, The system includes: The first acquisition unit is used to acquire the set of influencing factors affecting each production process; The calculation unit is used to calculate the correlation strength value between each influence factor in the set of influence factors based on the preset experience database and preset correlation strength prediction model of the enterprise to be managed, so as to construct the influence matrix of the production process according to the correlation strength value, and calculate the comprehensive influence matrix of the production process according to the influence matrix. The second acquisition unit is used to determine the influence degree and the degree of being influenced of each of the influence factors according to the comprehensive influence matrix, so as to obtain the centrality and causality of each of the influence factors according to the influence degree and the degree of being influenced of each of the influence factors, and to determine the first weight value of each of the influence factors based on the centrality and the causality. The second determining unit is used to obtain the current pending orders of the enterprise to be managed, and to determine the second weight value of each of the production processes based on the production type and production process data corresponding to the current pending orders. The adjustment unit is used to adjust the production control strategy of each production process of the enterprise to be controlled in real time based on the first weight value, the influencing factors, the second weight value and the production process; Based on the preset experience database and preset correlation strength prediction model of the enterprise to be managed, the correlation strength value between each influence factor in the set of influence factors is calculated, and the influence matrix of the production process is constructed according to the correlation strength value, specifically including: Obtain the identification number of each of the impact factors in the set of impact factors, and use the identification number to represent the relationship between each of the impact factors, and construct the impact factor relationship map of the production process based on the relationship between each of the impact factors; Based on the preset experience database of the enterprises to be managed, the strength of the correlation between each of the influencing factors is quantified to obtain the first correlation strength value between each of the influencing factors. By using the influence factor correlation map, the direct and indirect correlation factors of the influence factor are obtained. The correlation path length of the indirect correlation factor connected to the direct correlation factor and the number of the direct correlation factor are input into the preset correlation strength prediction model, and the second correlation strength value of the influence factor is output. If the difference between the first correlation strength value and the second correlation strength value is greater than a preset difference threshold, then the first correlation strength value is requantized and obtained. If the difference between the first correlation strength value and the second correlation strength value is less than a preset difference threshold, then the first correlation strength value is used as the correlation strength value of the influencing factor. The correlation strength values ​​are used as the influence relationship elements of the initial influence matrix to construct the initial influence matrix; The initial influence matrix is ​​standardized based on a preset standardization formula to obtain the influence matrix of the production process. Obtain the current pending orders of the enterprise to be managed, and determine the second weight value of each production process based on the production type and production process data corresponding to the current pending orders, specifically including: Obtain the current pending orders of the enterprise to be managed, and classify the production type into batch production type and customized production type based on the current pending orders; If the current pending order belongs to the batch production type, then the target production process data of the current pending order is determined; Obtain the production process data of the current production process in the enterprise to be managed, which corresponds to the target production process data; determine the key production process corresponding to the current order to be processed based on the difference between the target process indicators of the target production process data and the actual process indicators of the current production process data. Input the target process indicators of the key production process and the standard process indicators of the remaining production processes into the preset production process adapter respectively. The production process adapter is used to match the production process of each production step in the current order being processed, so as to determine the second weight value of each production step based on the production process of each production step. If the current pending order belongs to the customized production order, then obtain the target production process of the current pending order, and obtain the target production equipment in the enterprise to be managed based on the target production process; Based on the number of target production equipment corresponding to each target production process and the idle time of the corresponding target production equipment, the production process of each target production process is determined, and a second weight value of each target production process is determined based on the production process.

8. A control and management device for enterprise production, characterized in that, The device includes: a memory for storing computer program instructions and a processor for executing the program instructions, wherein when the computer program instructions are executed by the processor, the device is triggered to perform the method described in any one of claims 1-6.

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