Fast moving consumer goods insurance supply and emergency system under major emergencies

Abstract

The invention provides a fast moving consumer goods insurance supply and emergency system under major emergencies, and relates to the technical field of product supply. The system comprises an interview data collection module, a data collection module, a data textualization processing module and a data analysis processing module. Through collection and textualization processing of interview data and public data, NVivo 11 is utilized to disrupt the data, and finally data analysis processing is performed through a rooting theory to obtain an influence factor model for fast moving consumer goods insurance supply and emergency. The system aims to solve the problems of insufficient emergency plans, imperfect information systems, insufficient supply chain elasticity, fragile logistics systems, poor human resource management, insufficient safety guarantee and the like of fast moving consumer goods supply chains in emergencies. The emergency response capability, the information processing capability, the supply chain elasticity, the logistics allocation capability and the safety guarantee level in emergencies are improved, and stable supply and timely response of fast moving consumer goods in emergencies are ensured.

Description

Technical Field

[0001] This invention relates to the field of product supply technology, and in particular to a fast-moving consumer goods supply guarantee and emergency system under major emergencies. Background Technology

[0002] The tobacco industry is closely linked to people's livelihoods, and cigarettes, as an essential fast-moving consumer good, are a vital component of the national economy. The stability and efficiency of their supply chains are crucial for the normal functioning of society. However, in the face of emergencies such as natural disasters (earthquakes, floods, etc.) and public health events (such as epidemics), the fast-moving consumer goods supply chain often faces enormous challenges. These events not only lead to logistical disruptions and supply-demand imbalances but can also trigger social panic and market chaos. Therefore, ensuring the supply of fast-moving consumer goods during major emergencies has become an urgent problem to be solved.

[0003] Existing FMCG supply chain management systems perform well in responding to normal market demand, but often prove inadequate when dealing with unforeseen events. This is mainly reflected in the following aspects:

[0004] Inadequate emergency response plans: Many companies lack comprehensive emergency response plans, resulting in an inability to react quickly and effectively when emergencies occur. This lack of plans leads to inefficient coordination and execution across the supply chain when faced with unforeseen events, further exacerbating supply chain chaos.

[0005] Inadequate information systems: Existing information systems are mostly used for routine operations, resulting in weak emergency response capabilities. The inability of these systems to acquire and transmit critical data in a timely manner hinders decision-makers from making swift and accurate judgments and directives.

[0006] Insufficient supply chain resilience: Traditional supply chain designs are often efficiency-oriented, lacking sufficient flexibility and redundancy. In the event of unforeseen circumstances, insufficient supply chain resilience makes it difficult to adjust and reconfigure resources in a short period of time, leading to supply disruptions and market supply shortages.

[0007] The logistics system is vulnerable: it is easily disrupted by emergencies such as traffic disruptions and damage to warehousing facilities, directly impacting the transportation and distribution of goods. These problems are particularly pronounced during emergencies, severely affecting the timely supply of fast-moving consumer goods.

[0008] Poor human resource management: Shortages and improper allocation of human resources are also major problems during emergencies. Many companies lack contingency plans for human resource deployment in emergencies, resulting in insufficient emergency response capabilities.

[0009] Insufficient security safeguards: Emergencies are often accompanied by various security risks, including personal safety, property safety, and data security. Existing systems lack adequate safeguards in these areas, making them prone to secondary damage.

[0010] Therefore, a supply guarantee and emergency response system for fast-moving consumer goods in the event of major emergencies is needed to solve the above-mentioned technical problems. Summary of the Invention

[0011] To address the aforementioned technical problems, this invention provides a fast-moving consumer goods (FMCG) supply guarantee and emergency response system for major emergencies, comprising an interview data collection module, a document data collection module, a data text processing module, and a data analysis and processing module; wherein,

[0012] The interview data collection module is used to collect dialogue data from the interviewees; wherein, the dialogue data is categorized and organized according to the basic information of the interviewees and the interview questions;

[0013] The data collection module is used to collect data from publicly available information from fast-moving consumer goods (FMCG) supply organizations; among which,

[0014] The data text processing module is used to process dialogue data and data into text to obtain multi-source text data; wherein, the collected dialogue data and data are shuffled by using NVivo 11;

[0015] The data analysis and processing module uses grounded theory to analyze and process multi-source text data to obtain a model of influencing factors for the supply and emergency response of fast-moving consumer goods; the grounded theory processing includes three stages: open coding, axial coding, and selective coding.

[0016] As a further solution, the basic information of the interviewees includes personnel number, personnel category, department, gender, age and education level.

[0017] As a further solution, the open coding process 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 the multi-source text data; the initial conceptualization step is used to extract the label codes with common characteristics and group them into a category; the core conceptualization step is used to extract the various categories with common characteristics and group them into a subcategory.

[0018] As a further solution, the sub-categories include departmental working groups, industry collaboration, cigarette market fluctuations, inventory levels, system monitoring, 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 support, external collaboration resources, auxiliary measures support, external collaboration environment, procurement planning, warehouse management, arrival management, unloading management, sorting planning, sorting equipment management, sorting problem handling, sorting efficiency management, pre-outbound preparation, and outbound... The scope of work includes: warehouse 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 distribution environment, external distribution environment, market demand supervision, market safety supervision, complaint service, consultation service, service handling, online supervision, offline supervision, license supervision, case supervision, internal supervision environment, external supervision environment, internal work environment, external work environment, employee operational safety, employee physical and mental safety, support staff, pre-event safety preparation, in-event safety handling, and post-event safety assessment.

[0019] As a further solution, the main axis coding is used to classify subcategories with common characteristics, including command and organizational structure, command and job responsibilities, command and decision-making environment, multi-party collaborative objects, multi-party collaborative support, multi-party collaborative environment, warehousing management, sorting management, outbound management, storage and distribution environment, pre-delivery preparation, delivery process management, delivery 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 relationships between different main categories, and summarizes the core categories through continuous comparison; these include command and decision-making capabilities, multi-party collaboration capabilities, logistics reserve capabilities, cargo supply capabilities, market supervision capabilities, and security assurance capabilities.

[0021] Compared with related technologies, the fast-moving consumer goods supply and emergency response system provided by this invention has the following beneficial effects:

[0022] This invention includes an interview data collection module, a document data collection module, a data text processing module, and a data analysis and processing module. Through the collection and text processing of interview data and publicly available document data, the data is shuffled using NVivo 11, and finally, grounded theory is applied to perform data analysis to obtain a model of influencing factors for FMCG supply security and emergency response. This system aims to address problems faced by the FMCG supply chain during emergencies, such as insufficient emergency plans, inadequate information systems, insufficient supply chain resilience, fragile logistics systems, poor human resource management, and insufficient security guarantees. It seeks to improve emergency response capabilities, information processing capabilities, supply chain resilience, logistics allocation capabilities, and security levels during emergencies, ensuring a stable supply and timely response of FMCG products during such events. Attached Figure Description

[0023] Figure 1 This invention provides a schematic diagram of a fast-moving consumer goods (FMCG) supply guarantee and emergency response system under major emergencies.

[0024] Figure 2 This is a schematic diagram of the influencing factors model for ensuring the supply and emergency response of fast-moving consumer goods provided by the present invention. Detailed Implementation

[0025] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0026] like Figure 1 As shown, a fast-moving consumer goods (FMCG) supply guarantee and emergency response system under major emergencies includes an interview data collection module, a document data collection module, a data text processing module, and a data analysis and processing module; among which,

[0027] The interview data collection module is used to collect dialogue data from the interviewees; wherein, the dialogue data is categorized and organized according to the basic information of the interviewees and the interview questions;

[0028] The data collection module is used to collect data from publicly available information from fast-moving consumer goods (FMCG) supply organizations; among which,

[0029] The data text processing module is used to process dialogue data and data into text to obtain multi-source text data; wherein, the collected dialogue data and data are shuffled by using NVivo 11;

[0030] The data analysis and processing module uses grounded theory to analyze and process multi-source text data, resulting in a model of influencing factors for FMCG supply assurance and emergency response (such as...). Figure 2 As shown in the figure); wherein, the grounded theory processing includes three stages: open coding, axial coding and selective coding.

[0031] It should be noted that grounded theory is a research method that builds theories through qualitative analysis, primarily applied in sociology, but now widely used in management research. The aim of grounded theory is to build theories based on empirical data, mainly through the empirical generalization and understanding of phenomena by grounded researchers, summarizing new concepts and theories from textual data. Its main process involves open-ended coding, axial coding, and selective coding of textual data. The results must demonstrate both inductive and deductive reasoning from the textual data, as well as the logic and rationality of the extracted categories. It is applicable to social phenomena where current theories are vague or unclear, but logically explainable.

[0032] Current research on emergency supplies mainly focuses on the logistics sector, with less attention paid to the supply chain perspective. Furthermore, cigarettes differ from general emergency supplies, making it difficult to clearly define the influencing factors of their emergency supply system, thus hindering the application of questionnaires or scales for measurement. Therefore, this embodiment employs the most widely accepted grounded theory approach for qualitative research.

[0033] As a further solution, the basic information of the interviewees includes personnel number, personnel category, department, gender, age and education level.

[0034] It should be noted that grounded theory research draws on a wide range of data sources, including interviews, questionnaires, texts, observations, and memos. This study primarily employs the most prevalent data collection methods: direct interviews and the collection of relevant secondary source texts. Interviews offer good flexibility and applicability, suitable for studies with a limited number of interviewees, and can be adjusted as needed for in-depth data collection. Semi-structured interviews are the most common and applicable method; researchers can prepare an interview outline beforehand but do not need to strictly adhere to it, allowing for flexible adjustments based on the interviewees, process, and content. Secondary source data effectively saves time and improves efficiency, and data from authoritative institutions such as official bodies is equally reliable.

[0035] This embodiment focuses on the factors affecting emergency response and supply stability of a municipal tobacco logistics company. Considering the limited number of departments involved and the differences in functions and personnel among them, we chose to use a semi-structured interview method for data collection. Additionally, since the municipal tobacco logistics company and its departments possess some emergency response plans, we collected certain secondary textual materials as important reference sources for data analysis, after obtaining relevant consent.

[0036] This embodiment primarily analyzes and establishes a set of influencing factors based on the actual situation and perspective of a tobacco logistics company in a certain city. The main interviewees were responsible persons from relevant departments of the tobacco logistics company, with another group from relevant departments of the marketing center, and a few from cigarette retail outlets. The tobacco logistics company in this city mainly consists 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 security and emergency drills, etc.), and Equipment Technology Department (responsible for equipment maintenance and repair, etc.). The marketing center includes the Monopoly Department (responsible for market supervision and administrative licensing, etc.), Internal Management Office (responsible for genuine cigarette circulation management, etc.), Marketing Center (responsible for customer service and overall supply coordination, etc.), Information Center (responsible for digital transformation and information management, etc.), Finance Department, and Audit Office, among others.

[0037] This study selected key leaders and relevant personnel from five departments of a municipal tobacco logistics company as interviewees. Subsequent interviews were conducted with relevant department heads of the marketing center and heads of cigarette retail outlets. Interviewee information is shown in Table 1.

[0038] Table 1 Basic Information of Interviewees

[0039]

[0040] To gain a deeper understanding of unexpected problems and emergency response during the cigarette sales process, this embodiment also records the interview questions. The main interview questions in this embodiment are shown in Table 2.

[0041] Table 2 Interview Questions

[0042]

[0043] Most scholars, both domestically and internationally, use NVivo software to process and analyze collected interview or textual data. This embodiment, based on grounded theory, also chooses to use the most advanced qualitative research analysis software, NVivo 11, for data processing, improving efficiency while ensuring the scientific rigor and objectivity of the data analysis. By using NVivo 11 to shuffle the collected interview and textual data, and following the coding steps of grounded theory, the data is processed to summarize the influencing factors of emergency cigarette supply during major emergencies. However, this embodiment only uses NVivo 11 as an auxiliary tool for data processing; the theoretical analysis and the establishment of the influencing factor set are mainly completed collaboratively by the researchers. Before conducting data processing and analysis, the author reviewed and mastered relevant literature on factors affecting logistics supply or cigarette supply to ensure minimal conceptual bias during open-ended and axial coding, further ensuring the generalizability and rationality of the theory. Furthermore, during the coding process, the author consulted relevant department heads and researchers in the field multiple times to accurately grasp relevant terminology and ensure the rationality of the coding results.

[0044] As a further solution, the open coding process 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 the multi-source text data; the initial conceptualization step is used to extract the label codes with common characteristics and group them into a category; the core conceptualization step is used to extract the various categories with common characteristics and group them into a subcategory.

[0045] It's important to note that Open Coding is a process of conceptualizing and abstracting collected data to form core concepts or categories. This process can employ sentence-by-sentence, line-by-line, paragraph-by-paragraph, or even word-by-word coding methods. Depending on the level of refinement by the root user, Open Coding can be divided into three steps: labeling, initial conceptualization, and core conceptualization. Labeling involves shuffling the original data and then assigning it "labels" using the coding method. Initial conceptualization identifies common characteristics among these "labels" to group them into a single category. Core conceptualization further refines the initial conceptualization to form the final concept. The original data was processed using Open Coding. First, sentence analysis was performed, resulting in 347 unique labels. Following the principle of hierarchical influence and grouping similar concepts together, 128 initial conceptualizations and 56 core conceptualizations were obtained. Initial conceptualizations with repetitive features are marked with a superscript "1". It's important to note that repetition does not necessarily mean complete content duplication; it simply means that the concept can simultaneously influence multiple different objects. Finally, core conceptualizations are indicated with "B+". As shown in Tables 3 and 4.

[0046] Table 3 Examples of the conceptualization process

[0047]

[0048]

[0049]

[0050] Note: 1. Table 3 is an example table in the open coding process. Due to space limitations, not all of them are shown.

[0051] 2. Crisis Environment 1 This 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 departmental working groups, industry collaboration, cigarette market fluctuations, inventory levels, system monitoring, 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 support, external collaboration resources, auxiliary measures support, external collaboration environment, procurement planning, warehouse management, arrival management, unloading management, sorting planning, sorting equipment management, sorting problem handling, sorting efficiency management, pre-outbound preparation, and outbound... The scope of work includes: warehouse 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 distribution environment, external distribution environment, market demand supervision, market safety supervision, complaint service, consultation service, service handling, online supervision, offline supervision, license supervision, case supervision, internal supervision environment, external supervision environment, internal work environment, external work environment, employee operational safety, employee physical and mental safety, support staff, pre-event safety preparation, in-event safety handling, and post-event safety assessment.

[0057] It should be noted that axial coding, based on open coding, involves reflecting on, comparing, and classifying the acquired concepts to extract "main categories." Its primary purpose is to discover and establish various connections between the acquired concepts, demonstrating the organic relationship between the data content. A main category can include multiple "subcategories," which are the core conceptualizations of the open coding. This embodiment, based on the core conceptualizations of open coding, continues to follow the principles of hierarchical influence and unification of similar concepts. After repeated consideration and refinement, a total of 21 main categories were formed, indicated by "A+". See Table 5.

[0058] Table 5 Spindle Coding

[0059]

[0060]

[0061]

[0062] As a further solution, the main axis coding is used to classify subcategories with common characteristics, including command and organizational structure, command and job responsibilities, command and decision-making environment, multi-party collaborative objects, multi-party collaborative support, multi-party collaborative environment, warehousing management, sorting management, outbound management, storage and distribution environment, pre-delivery preparation, delivery process management, delivery 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 relationships between different main categories, and summarizes the core categories through continuous comparison; these include command and decision-making capabilities, multi-party collaboration capabilities, logistics reserve capabilities, cargo supply capabilities, market supervision capabilities, and security assurance capabilities.

[0064] It should be noted that the purpose of selective coding is to sort out and analyze the relationships between different "main categories," and through continuous comparison, summarize the core categories to cover or govern all main categories. This is the most crucial step in theoretical construction. Based on 21 main categories, this embodiment summarizes six core categories affecting the construction of the cigarette "emergency supply guarantee" and "two guarantees" system: command and decision-making capability, multi-party coordination capability, logistics reserve capability, supply allocation capability, market supervision capability, and security guarantee capability. The core conceptualization is indicated by "S+", as shown in Table 3.6.

[0065] Table 3.6 Selective Coding

[0066]

[0067] The above are merely embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A fast-moving consumer goods (FMCG) supply guarantee and emergency response system under major emergencies, characterized in that: It includes modules for interview data collection, document data collection, data text processing, and data analysis and processing; among which, The interview data collection module is used to collect dialogue data from the interviewees; wherein, the dialogue data is categorized and organized according to the basic information of the interviewees and the interview questions; The data collection module is used to collect data from publicly available information from fast-moving consumer goods (FMCG) supply organizations; among which, The data text processing module is used to process dialogue data and data data into text to obtain multi-source text data; wherein, the collected dialogue data and data data are shuffled by using NVivo 11; The data analysis and processing module uses grounded theory to analyze and process multi-source text data to obtain a model of influencing factors for the supply and emergency response of fast-moving consumer goods; the grounded theory processing includes three stages: open coding, axial coding, and selective coding.

2. The fast-moving consumer goods supply guarantee and emergency response system under major emergencies as described in claim 1, characterized in that, The basic information of the interviewees includes personnel number, personnel category, department, gender, age and education level.

3. The fast-moving consumer goods supply guarantee and emergency response system under major emergencies as described in claim 1, characterized in that, The open coding process involves three steps: labeling, initial conceptualization, and core conceptualization. The labeling step encodes the multi-source text data using labels. The initial conceptualization step extracts labels with common characteristics and assigns them to a single genus. The core conceptualization step extracts genera with common characteristics and assigns them to a single subcategory.

4. The fast-moving consumer goods supply guarantee and emergency response system under major emergencies as described in claim 3, characterized in that, The sub-categories include departmental working groups, industry collaboration, cigarette market fluctuations, inventory levels, system supervision, network information security, crisis environment, organizational form, structural characteristics, command levels, pre-event responsibilities, in-event responsibilities, post-event responsibilities, external command environment, internal command environment, internal collaboration objects, external collaboration objects, internal collaboration support, external collaboration resources, auxiliary measures support, external collaboration environment, procurement plan, warehouse management, arrival management, unloading management, sorting plan arrangement, sorting equipment management, sorting problem handling, sorting efficiency management, pre-shipment preparation, selection of outbound objects, selection of outbound plans, internal storage environment, external storage environment, market analysis, order analysis, cigarette preparation, safety preparation, delivery arrangement, personnel management, vehicle management, problem management, internal distribution environment, external distribution environment, market demand supervision, market safety supervision, complaint service, consultation service, service handling, online supervision, offline supervision, license supervision, case supervision, internal supervision environment, external supervision environment, internal work environment, external work environment, employee operational safety, employee physical and mental safety, auxiliary staff, pre-event safety preparation, in-event safety handling, and post-event safety assessment.

5. The fast-moving consumer goods supply guarantee and emergency response system under major emergencies as described in claim 4, characterized in that, The main axis coding is used to classify subcategories with common characteristics, including command and organizational structure, command and work responsibilities, command and decision-making environment, multi-party collaboration objects, multi-party collaboration support, multi-party collaboration environment, warehousing management, sorting management, outbound management, storage and distribution environment, pre-delivery preparation, delivery process management, delivery environment, market supervision, service supervision, supervision methods, administrative supervision, supervision environment, work environment safety, staff safety, and work process safety.

6. The fast-moving consumer goods supply guarantee and emergency response system under major emergencies as described in claim 5, characterized in that, The selective coding process sorts out and analyzes the relationships between different main categories, and summarizes the core categories through continuous comparison; these include command and decision-making capabilities, multi-party collaboration capabilities, logistics reserve capabilities, cargo supply capabilities, market supervision capabilities, and security assurance capabilities.

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