由于區(qū)域主義和全球化力量,供應(yīng)鏈在地理上變得越來(lái)越復(fù)雜,它們的成功越來(lái)越依賴于有能力的物流和供應(yīng)鏈管理的專業(yè)知識(shí)。也就是說(shuō),倉(cāng)庫(kù)庫(kù)存管理是一個(gè)常見(jiàn)問(wèn)題,因此運(yùn)輸時(shí)間長(zhǎng),到貨時(shí)間不確定。該研究著眼于電子行業(yè)的Electrosales公司,對(duì)2014年至2018年在津巴布韋的倉(cāng)庫(kù)管理進(jìn)行了一系列研究。本文研究了所面臨的消費(fèi)電子產(chǎn)品庫(kù)存問(wèn)題,這些問(wèn)題在分組時(shí)提出了兩個(gè)主要問(wèn)題,即外包暢銷產(chǎn)品和舊產(chǎn)品庫(kù)存。仔細(xì)研究所述問(wèn)題會(huì)產(chǎn)生四個(gè)問(wèn)題,即不準(zhǔn)確的需求預(yù)測(cè),不合理的庫(kù)存分類,不科學(xué)的訂購(gòu)策略和不良的庫(kù)存方法。第三章介紹了用于抑制舊產(chǎn)品庫(kù)存的方法,即庫(kù)存方法,需求預(yù)測(cè)方法:簡(jiǎn)單移動(dòng)平均,指數(shù)平滑和加權(quán)移動(dòng)平均。此外,還介紹了安全庫(kù)存（q,r和t,s）的方法。)庫(kù)存政策和ABC分類。在第四章中,提出了一種用于采樣電子數(shù)據(jù)的庫(kù)存優(yōu)化解決方案。對(duì)于ABC分類,提出了排序和層次分析過(guò)程（AHP）的組合。在此基礎(chǔ)上,針對(duì)不同類型的庫(kù)存開(kāi)發(fā)相應(yīng)的庫(kù)存管理策略,其中使用多準(zhǔn)則庫(kù)存分類（MCIC）方法的AHP用于加權(quán)產(chǎn)品。根據(jù)分類指數(shù),隨后使用隨機(jī)建模工具（q,r和t,s）來(lái)計(jì)算來(lái)自分類消費(fèi)電子產(chǎn)品的重新訂購(gòu)點(diǎn)... 

【文章來(lái)源】：北京交通大學(xué)北京市 211工程院校 教育部直屬院校

【文章頁(yè)數(shù)】：76 頁(yè)

【學(xué)位級(jí)別】：碩士

【文章目錄】：
ACKNOWLEDGEMENT
摘要
ABSTRACT
PREFACE
1. BACKGROUND
    1.1. INVENTORY MANAGEMENT AND RESEARCH SIGNIFICANCE
        1.1.1. Research background
        1.1.2. Electrosales company profile
    1.2. CURRENT PROBLEMS IN THE HARARE WAREHOUSE
        1.2.1. Best- selling products frequently over stocked
        1.2.2. Old Equipment Inventory Backlog
    1.3. RESEARCH SIGNIFICANCE
    1.4. RESEARCH CONTENT AND ROUTE
        1.4.1. Research Objectives
        1.4.2. Research content
    1.5. CHAPTER SUMMARY
2. LITERATURE REVIEW
    2.1. INTRODUCTION
    2.2. RESEARCH STATUS
        2.2.1. Research Status of Inventory Classification
        2.2.2. Status of ordering strategy research
        2.2.3. Status of demand forecasting research
    2.3. CHAPTER SUMMARY
3. RESEARCH METHODOLOGY
    3.1. ANALYSIS OF THE ELECTROSALES WAREHOUSING PROBLEMS
    3.2. INVENTORY METHOD
        3.2.1. Last- in, First-out (LIFO)
        3.2.2. Impact of LIFO Inventory Valuation Method on Electrosales FinancialStatements
        3.2.3. First-In First-Out (FIFO)
        3.2.4. Average cost method (AVCO)
    3.3. PRACTICAL IMPLICATION OF THE THREE INVENTORY METHODS
        3.3.1. Trading Accounts Inventory Methods Comparison
        3.3.2. Benefits of AVCO as an inventory method to be adopted
    3.4. SORTING FOR INVENTORY CLASSIFICATION
        3.4.1. Inventory classification and ordering strategy for Electrosaleswarehouse
        3.4.2. Research on Electrosales Inventory Classification Based on Sorting data
        3.4.3. Methodology based on Sorting combined with AHP
    3.5. STRATEGIES FOR UNSCIENTIFIC INVENTORY ORDERING STRATEGY
        3.5.1. Q, R Ordering Strategy for class A inventory
        3.5.2. T, S ordering strategy for class Band C inventory
    3.6. UNTIMELY INFORMATION TRANSMISSION
    3.7. DEMAND FORECASTING METHODS
        3.7.1. Moving average method
        3.7.2. Weighted moving average
        3.7.3. Exponential smoothing method
    3.8. CHAPTER SUMMARY
4. INVENTORY ANALYSIS
    4.1. ELECTROSALES INVENTORY DATA PREPARATION WITH SORTING METHOD
        4.1.1. Electrosales data
        4.1.2. Data standardization
    4.2. SORTING
    4.3. ROBUSTNESS OF CLASSIFICATION EVALUATE
    4.4. INVENTORY CONTROL STRATEGY
        4.4.1. Q, R Model for Class A inventory
        4.4.2. T, S Model for Class B and C inventory
    4.5. VALIDATION OF INVENTORY OPTIMIZATION
    4.6. A MODEL OF INVERTERS DEMAND FORECASTING
    4.7. FORECASTING METHOD OF BEST FIT
        4.7.1. Simple Moving Average
        4.7.2. Weighted Moving Average
        4.7.3. Exponential Smoothing
    4.8. FORECASTING ERRORS
    4.9. CHAPTER SUMMARY
5. CONCLUSION
    5.1. CONCLUSION ON ELECTROSALES INVENTORY MANAGEMENT IMPROVEMENT
    5.2. ESTABLISHING AN INFORMATION MANAGEMENT PLATFORM
    5.3. SUMMARY
REFERENCES
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