Fast moving consumer goods insurance supply and emergency system under major emergencies
By designing the supply and emergency system for fast-moving consumer goods under major emergencies, using grounded theory to analyze multi-source text data, and establishing an influencing factor model, the inadequate emergency plans and other problems of the fast-moving consumer goods supply chain in emergencies are solved, and emergency response and supply chain stability are improved.
Patent Information
- Application Number
- CN202411568691.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-05
- Publication Date
- 2025-05-23
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In major emergencies, the supply chain of fast-moving consumer goods faces problems such as insufficient emergency plans, imperfect information systems, insufficient supply chain flexibility, fragile logistics system, poor human resources management and insufficient security guarantees, resulting in slow response and supply interruption in emergencies.
A fast-moving consumer goods supply guarantee and emergency system under major emergencies was designed, including an interview data collection module, a data data collection module, a data text processing module and a data analysis and processing module. Through grounded theory, a model of influencing factors for fast-moving consumer goods supply guarantee and emergency response was established.
The emergency response capabilities, information processing capabilities, supply chain flexibility, logistics allocation capabilities and security guarantee levels in emergencies have been improved, ensuring stable supply and timely response of fast-moving consumer goods in emergencies.
Smart Images
Figure CN120031269A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of product supply, and in particular to a fast-moving consumer goods supply guarantee and emergency response system under major emergencies. Background Art
[0002] The tobacco industry is closely related to people's livelihood, and cigarettes are essential fast-moving consumer goods. In today's society, the fast-moving consumer goods industry is an important part of the national economy. The stability and efficient operation of its supply chain are crucial to the normal operation of social life. However, in the face of emergencies such as natural disasters (earthquakes, floods, etc.) and public health events, the fast-moving consumer goods supply chain often faces huge challenges. These events will not only lead to logistics disruptions and imbalances between supply and demand, but may also cause social panic and market chaos. Therefore, how to ensure the supply of fast-moving consumer goods in major emergencies has become a problem that needs to be solved urgently.
[0003] The existing FMCG supply chain management system performs well in dealing with normal market demand, but often seems to be unable to cope with emergencies. This is mainly reflected in the following aspects:
[0004] Insufficient emergency plans: Many companies lack comprehensive emergency plans, which results in an inability to respond quickly and effectively when emergencies occur. The lack of emergency plans makes coordination and execution inefficient in all links of the supply chain when facing emergencies, further exacerbating the chaos of the supply chain.
[0005] Incomplete information system: The existing information system is mostly used for daily operations, and its emergency response capabilities are weak. The information system cannot obtain and transmit key data in a timely manner, resulting in the decision-makers being unable to make correct judgments and commands quickly.
[0006] Insufficient supply chain flexibility: Traditional supply chain designs are mostly efficiency-oriented and lack sufficient flexibility and redundancy. In emergencies, the lack of supply chain flexibility makes it difficult to adjust resources and reconfigure in a short period of time, resulting in supply disruptions and market supply shortages.
[0007] Fragile logistics system: The logistics system is easily damaged in emergencies, such as traffic disruptions, damage to storage facilities, etc., which directly affects the transportation and distribution of materials. These problems are particularly prominent in emergencies, seriously affecting the timely supply of fast-moving consumer goods.
[0008] Poor human resource management: In emergencies, the shortage and improper allocation of human resources is also a major problem. Many companies lack emergency plans for human resource deployment in emergencies, resulting in insufficient emergency response capabilities.
[0009] Insufficient security: Emergencies are often accompanied by various security risks, including personal safety, property safety, and data security. The existing system does not have sufficient security measures in this regard, which can easily cause secondary damage.
[0010] Therefore, a fast-moving consumer goods supply guarantee and emergency response system is needed to solve the above technical problems in major emergencies. Summary of the invention
[0011] In order to solve the above technical problems, the present invention provides a fast-moving consumer goods supply guarantee and emergency response system under major emergencies, including an interview data collection module, a document data collection module, a data text processing module and a data analysis processing module; wherein,
[0012] The interview data collection module is used to collect the conversation data of the interviewee; wherein the conversation data is classified and sorted according to the basic information of the interviewee and the interview questions;
[0013] The data collection module is used to collect data from public sources of fast-moving consumer goods supply guarantee agencies;
[0014] The data text processing module is used to perform text processing on the conversation data and the document data to obtain multi-source text data; wherein the collected conversation data and document data are shuffled by using NVivo 11;
[0015] The data analysis and processing module performs data analysis and processing on multi-source text data through grounded theory to obtain an influencing factor model for fast-moving consumer goods supply guarantee and emergency response; wherein, the grounded theory processing includes three steps: open coding, axial coding and selective coding.
[0016] As a further solution, the basic information of the interviewee includes personnel number, personnel category, department, personnel gender, personnel age and personnel education level.
[0017] As a further solution, the open coding processes multi-source text data through a labeling step, an initial conceptualization step and a core conceptualization step; wherein the labeling step is used to label and encode the multi-source text data; the initial conceptualization step is used to extract label codes with common characteristics and put them in one category; the core conceptualization step is used to extract various categories with common characteristics and put them in one subcategory.
[0018] As a further solution, the sub-categories include department working groups, industry collaboration, cigarette market fluctuations, inventory quantity, system supervision, network information security, crisis environment, organizational form, structural characteristics, command hierarchy, pre-event responsibilities, in-event responsibilities, post-event responsibilities, external command environment, internal command environment, internal collaboration objects, external collaboration objects, internal collaboration guarantees, external collaboration resources, auxiliary measures guarantees, external collaboration environment, procurement plans, warehouse management, arrival management, unloading management, sorting plan arrangements, sorting equipment management, sorting problem handling, sorting efficiency management, pre-delivery preparations, and delivery. Warehouse object selection, outbound plan selection, internal storage environment, external storage environment, market analysis, order analysis, cigarette preparation, safety preparation, delivery arrangement, personnel management, vehicle management, problem management, internal delivery environment, external delivery environment, market demand supervision, market safety supervision, complaint service, consulting service, service processing, online supervision, offline supervision, license supervision, case supervision, internal supervision environment, external supervision environment, internal working environment, external working environment, employee operational safety, employee physical and mental safety, auxiliary staff, pre-event safety preparation, in-event safety disposal and post-event safety assessment.
[0019] As a further solution, the spindle coding is used to classify sub-categories with common characteristics, including command organizational structure, command work responsibilities, command decision-making environment, multi-party collaboration objects, multi-party collaboration guarantees, multi-party collaboration environment, warehousing management, sorting management, outbound management, storage and distribution environment, pre-delivery preparation, delivery process management, placement environment, market supervision, service supervision, supervision methods, administrative supervision, supervision environment, work environment safety, staff safety and work process safety.
[0020] As a further solution, the selective coding sorts out and analyzes the relationship between different main categories, and summarizes the core categories through continuous comparison; among them, they include command and decision-making capabilities, multi-party coordination capabilities, logistics reserve capabilities, supply delivery capabilities, market supervision capabilities and security capabilities.
[0021] Compared with the related art, the fast-moving consumer goods supply guarantee and emergency response system under major emergencies provided by the present invention has the following beneficial effects:
[0022] The present invention includes an interview data collection module, a document data collection module, a data text processing module and a data analysis processing module. Through the collection and text processing of interview data and public document data, the data is shuffled using NVivo 11, and finally the data is analyzed and processed through grounded theory to obtain an influencing factor model for fast-moving consumer goods supply and emergency response. This system aims to solve the problems faced by the fast-moving consumer goods supply chain in emergencies, such as insufficient emergency plans, imperfect information systems, insufficient supply chain flexibility, fragile logistics systems, poor human resource management and insufficient security, improve the emergency response capabilities, information processing capabilities, supply chain flexibility, logistics deployment capabilities and security levels in emergencies, and ensure the stable supply and timely response of fast-moving consumer goods in emergencies. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] Figure 1 A schematic diagram of the structure of a fast-moving consumer goods supply guarantee and emergency response system under major emergencies provided by the present invention;
[0024] Figure 2 This is a schematic diagram of the structure of the model of influencing factors for fast-moving consumer goods supply and emergency response provided by the present invention. DETAILED DESCRIPTION
[0025] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes.
[0026] like Figure 1 As shown, a fast-moving consumer goods supply guarantee and emergency response system under major emergencies includes an interview data collection module, a material data collection module, a data text processing module and a data analysis processing module; wherein,
[0027] The interview data collection module is used to collect the conversation data of the interviewee; wherein the conversation data is classified and sorted according to the basic information of the interviewee and the interview questions;
[0028] The data collection module is used to collect data from public sources of fast-moving consumer goods supply guarantee agencies;
[0029] The data text processing module is used to perform text processing on the conversation data and the document data to obtain multi-source text data; wherein the collected conversation data and document data are shuffled by using NVivo 11;
[0030] The data analysis and processing module performs data analysis and processing on multi-source text data through grounded theory to obtain an influencing factor model for fast-moving consumer goods supply guarantee and emergency response (such as Figure 2 As shown); the grounded theory processing includes three steps: open coding, axial coding and selective coding.
[0031] It should be noted that grounded theory is a research method that establishes theories through qualitative analysis. It is mainly used in the field of sociology and has been widely used in management research. The purpose of grounded theory is to establish theories based on empirical data. It mainly summarizes new concepts and theories from textual data through the experience generalization and phenomenon understanding of the grounded person. Its main process is to perform open coding, axial coding, and selective coding on textual data. The result should have both the induction and deduction of textual data and the logic and rationality of the refined categories. It is suitable for social phenomena that are currently unclear in theory but can be logically explained.
[0032] At present, the research on emergency material supply is mainly concentrated in the field of logistics, and less research is done from the perspective of supply chain. At the same time, cigarettes are different from general emergency materials, and the influencing factors of their emergency supply system are difficult to clarify, and it is difficult to use questionnaires or scales for measurement research. Therefore, this example uses the most recognized grounded theory for qualitative research.
[0033] As a further solution, the basic information of the interviewee includes personnel number, personnel category, department, personnel gender, personnel age and personnel education level.
[0034] It should be noted that the data sources of research based on grounded theory are very extensive, including interviews, questionnaires, texts, observations, memos, etc. This study mainly adopts the most widely used data collection form, one is through direct interviews, and the other is to collect relevant secondary data texts. The interview method has good flexibility and applicability. It is suitable for research with fewer interviewees, and can be adjusted in time to collect in-depth data. Semi-structured interviews are the most common and applicable. Researchers can prepare interview outlines in advance, but they do not have to follow them completely. They can be flexibly adjusted according to the interviewees, processes, and content. Secondary data can effectively save time and improve efficiency, and data from official and other authoritative institutions are also reliable.
[0035] This example focuses on the factors affecting the emergency and stable supply of a tobacco logistics company in a certain city. Considering that there are few departments involved and the functions and number of personnel between departments, we choose to use semi-structured interviews for data collection. At the same time, since a tobacco logistics company and its departments in a certain city have some emergency plan materials, after obtaining relevant consent, we collected some secondary text materials as an important reference source for data analysis.
[0036] This embodiment mainly analyzes and establishes the influencing factor set based on the actual situation and perspective of a tobacco logistics company in a certain city. The main interviewees are mainly from the relevant department heads of a tobacco logistics company in a certain city, another part from the relevant departments of the marketing center, and a few from cigarette retail outlets. A tobacco logistics company in a certain city is mainly composed of five departments: office (responsible for logistics and external liaison, etc.), delivery department (responsible for cigarette delivery and processing customer orders, etc.), storage and distribution department (responsible for cigarette sorting and warehousing, etc.), security department (responsible for park safety and emergency drills, etc.) and equipment technology department (responsible for equipment maintenance and repair, etc.). The marketing center includes the monopoly office (responsible for market supervision, administrative licensing, etc.), the internal management office (responsible for the circulation management of real cigarettes, etc.), the marketing center (responsible for serving customers and coordinating the supply of goods, etc.), the information center (responsible for digital transformation and information management, etc.), the finance department, the audit office and other departments.
[0037] This study selected the main leaders and relevant persons in charge of five departments of a tobacco logistics company in a certain city as the interview subjects, and then interviewed the heads of relevant departments of the marketing center and the heads of cigarette retail outlets. The information of the interview subjects is shown in Table 1.
[0038] Table 1 Basic information of interviewees
[0039]
[0040] In order to gain a deeper understanding of the emergent problems and emergency handling situations that occur during the cigarette sales process, this example also records the interview questions. The main interview questions of this example are shown in Table 2.
[0041] Table 2 Interview questions
[0042]
[0043] Most scholars at home and abroad use NVivo software to process and analyze the collected interviews or text materials. This embodiment also chooses to use the most advanced qualitative research analysis software NVivo 11 for data processing on the basis of grounded theory, which improves efficiency while ensuring the scientificity and objectivity of data analysis. By using NVivo 11 to disrupt the collected interviews and text materials, data processing is carried out according to the coding steps of grounded theory, and then the influencing factors of emergency supply of cigarettes under major emergencies are summarized. However, this embodiment only uses NVivo 11 software as an auxiliary tool for data processing, while the theoretical analysis and the establishment of the influencing factor set are mainly completed by the researchers. Before conducting data processing and analysis, the author has a relevant understanding and mastery of relevant literature such as factors affecting logistics supply or cigarette supply, so as to ensure that there will not be too much conceptual deviation in open coding and main axis coding, and further ensure the generalization and rationality of the theory. In addition, the author has repeatedly consulted the heads of relevant departments and researchers in this field during the continuous coding process to accurately grasp the relevant noun concepts and ensure the rationality of the coding results.
[0044] As a further solution, the open coding processes multi-source text data through a labeling step, an initial conceptualization step and a core conceptualization step; wherein the labeling step is used to label and encode the multi-source text data; the initial conceptualization step is used to extract label codes with common characteristics and put them in one category; the core conceptualization step is used to extract various categories with common characteristics and put them in one subcategory.
[0045] It should be noted that open coding is the process of conceptualizing and abstracting the collected data to form core concepts or categories. This process can be coded sentence by sentence, line by line, paragraph by paragraph, or even word by word. Open coding can be divided into three steps according to the different levels of refinement of the rooter: labeling, initial conceptualization, and core conceptualization. Labeling is to label the original data by using the coding method after shuffling it; initial conceptualization is to find the common characteristics of these "labels" and put them in a category; "core conceptualization" is to further refine them on the basis of initial conceptualization to form the final concept. The original data is operated according to open coding. First, the original data is analyzed by sentence analysis to form a total of 347 non-repeating labels. According to the principle of step-by-step influence and similar normalization, a total of 128 initial conceptualizations and 56 core conceptualizations are obtained. Initial conceptualizations with repeated characteristics are marked with superscript 1. It should be noted that repetition does not mean that the content is completely repeated, but because this concept can affect multiple different objects at the same time. Finally, the core conceptualization is indicated by "B+". As shown in Table 3 and Table 4.
[0046] Table 3 Examples of conceptualization process
[0047]
[0048]
[0049]
[0050] Notes: 1. Table 3 is a sample table in the open coding process. Due to space limitations, it is not fully displayed.
[0051] 2. Crisis environment 1 It means that the factor has an influence path on multiple objects, that is, the initial concept is repeated.
[0052] Table 4 Open coding
[0053]
[0054]
[0055]
[0056] As a further solution, the sub-categories include department working groups, industry collaboration, cigarette market fluctuations, inventory quantity, system supervision, network information security, crisis environment, organizational form, structural characteristics, command hierarchy, pre-event responsibilities, in-event responsibilities, post-event responsibilities, external command environment, internal command environment, internal collaboration objects, external collaboration objects, internal collaboration guarantees, external collaboration resources, auxiliary measures guarantees, external collaboration environment, procurement plans, warehouse management, arrival management, unloading management, sorting plan arrangements, sorting equipment management, sorting problem handling, sorting efficiency management, pre-delivery preparations, and delivery. Warehouse object selection, outbound plan selection, internal storage environment, external storage environment, market analysis, order analysis, cigarette preparation, safety preparation, delivery arrangement, personnel management, vehicle management, problem management, internal delivery environment, external delivery environment, market demand supervision, market safety supervision, complaint service, consulting service, service processing, online supervision, offline supervision, license supervision, case supervision, internal supervision environment, external supervision environment, internal working environment, external working environment, employee operational safety, employee physical and mental safety, auxiliary staff, pre-event safety preparation, in-event safety disposal and post-event safety assessment.
[0057] It should be noted that: Axial Coding is to think, compare and classify the concepts obtained on the basis of open coding to extract the "main category". Its main purpose is to discover and establish various connections between the concepts obtained to show the organic connection between the content of the data. Among them, a main category can include multiple "sub-categories", and the sub-category is the core conceptualization of open coding. Based on the core conceptualization of open coding, this embodiment continues to follow the principle of step-by-step influence and similarity normalization. After repeated thinking and deliberation, a total of 21 main categories are formed, and the main categories are represented by "A+". As shown in Table 5.
[0058] Table 5 Main axis coding
[0059]
[0060]
[0061]
[0062] As a further solution, the spindle coding is used to classify sub-categories with common characteristics, including command organizational structure, command work responsibilities, command decision-making environment, multi-party collaboration objects, multi-party collaboration guarantees, multi-party collaboration environment, warehousing management, sorting management, outbound management, storage and distribution environment, pre-delivery preparation, delivery process management, placement environment, market supervision, service supervision, supervision methods, administrative supervision, supervision environment, work environment safety, staff safety and work process safety.
[0063] As a further solution, the selective coding sorts out and analyzes the relationship between different main categories, and summarizes the core categories through continuous comparison; among them, they include command and decision-making capabilities, multi-party coordination capabilities, logistics reserve capabilities, supply delivery capabilities, market supervision capabilities and security capabilities.
[0064] It should be noted that the purpose of selective coding is to sort out and analyze the relationship between different "main categories" and summarize the core categories through continuous comparison to cover or dominate all main categories. It is the most critical step in theoretical construction. Based on the 21 main categories, this embodiment summarizes the six core categories that affect the construction of the "emergency supply guarantee" and "two guarantees" systems of cigarettes, namely command and decision-making capabilities, multi-party coordination capabilities, logistics reserve capabilities, supply release capabilities, market supervision capabilities, and security capabilities. The core conceptualization is represented by "S+". As shown in Table 3.6.
[0065] Table 3.6 Optional Coding
[0066]
[0067] The above are only embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.
Claims
1. A fast-moving consumer goods supply guarantee and emergency response system under major emergencies, characterized in that: It includes interview data collection module, document data collection module, data text processing module and data analysis processing module; among them, The interview data collection module is used to collect the conversation data of the interviewee; wherein the conversation data is classified and sorted according to the basic information of the interviewee and the interview questions; The data collection module is used to collect data from public sources of fast-moving consumer goods supply guarantee agencies; The data text processing module is used to perform text processing on the conversation data and the document data to obtain multi-source text data; wherein the collected conversation data and document data are shuffled by using NVivo 11; The data analysis and processing module performs data analysis and processing on multi-source text data through grounded theory to obtain an influencing factor model for fast-moving consumer goods supply guarantee and emergency response; wherein, the grounded theory processing includes three steps: open coding, axial coding and selective coding.
2. According to the FMCG supply guarantee and emergency response system for major emergencies according to claim 1, it is characterized by: The basic information of the interviewees includes personnel number, personnel category, department, personnel gender, personnel age and personnel educational background.
3. According to the FMCG supply guarantee and emergency response system for major emergencies in claim 1, it is characterized by: The open coding processes multi-source text data through a labeling step, an initial conceptualization step and a core conceptualization step; wherein the labeling step is used to label and encode the multi-source text data; the initial conceptualization step is used to extract label codes with common characteristics and put them in one category; the core conceptualization step is used to extract various categories with common characteristics and put them in one subcategory.
4. The fast-moving consumer goods supply guarantee and emergency response system for major emergencies according to claim 3, characterized in that: The sub-categories include department working groups, industry collaboration, cigarette market fluctuations, inventory quantity, system supervision, network information security, crisis environment, organizational form, structural characteristics, command hierarchy, ex ante responsibilities, in-process responsibilities, ex post responsibilities, external command environment, internal command environment, internal collaboration objects, external collaboration objects, internal collaboration guarantees, external collaboration resources, auxiliary measures guarantees, external collaboration environment, procurement plans, warehouse management, arrival management, unloading management, sorting plan arrangements, sorting equipment management, sorting problem handling, sorting efficiency management, pre-delivery preparations, delivery object selection, delivery plan selection, internal reserve environment, external reserve environment, market analysis, order analysis, cigarette preparation, safety preparation, delivery arrangements, personnel management, vehicle management, problem management, internal delivery environment, external delivery environment, market demand supervision, market safety supervision, complaint services, consulting services, service processing, online supervision, offline supervision, license supervision, case supervision, internal regulatory environment, external regulatory environment, internal working environment, external working environment, employee operational safety, employee physical and mental safety, auxiliary staff, ex ante safety preparations, in-process safety handling and ex post safety assessment.
5. The fast-moving consumer goods supply guarantee and emergency response system for major emergencies according to claim 4, characterized in that: The spindle coding is used to classify sub-categories with common characteristics, including command organizational structure, command work responsibilities, command decision-making environment, multi-party collaboration objects, multi-party collaboration guarantees, multi-party collaboration environment, warehousing management, sorting management, outbound management, storage and distribution environment, pre-delivery preparations, delivery process management, placement environment, market supervision, service supervision, supervision methods, administrative supervision, supervision environment, work environment safety, staff safety and work process safety.
6. A fast-moving consumer goods supply guarantee and emergency response system for major emergencies according to claim 5, characterized in that: The selective coding sorts out and analyzes the relationship between different main categories, and summarizes the core categories through continuous comparison; among them, they include command and decision-making capabilities, multi-party coordination capabilities, logistics reserve capabilities, supply delivery capabilities, market supervision capabilities and security capabilities.