津巴布韦家用电器零售业的库存管理，一个Electrosales案例
发布时间：2021-10-05 17:03
由于区域主义和全球化力量,供应链在地理上变得越来越复杂,它们的成功越来越依赖于有能力的物流和供应链管理的专业知识。也就是说,仓库库存管理是一个常见问题,因此运输时间长,到货时间不确定。该研究着眼于电子行业的Electrosales公司,对2014年至2018年在津巴布韦的仓库管理进行了一系列研究。本文研究了所面临的消费电子产品库存问题,这些问题在分组时提出了两个主要问题,即外包畅销产品和旧产品库存。仔细研究所述问题会产生四个问题,即不准确的需求预测,不合理的库存分类,不科学的订购策略和不良的库存方法。第三章介绍了用于抑制旧产品库存的方法,即库存方法,需求预测方法:简单移动平均,指数平滑和加权移动平均。此外,还介绍了安全库存（q,r和t,s）的方法。)库存政策和ABC分类。在第四章中,提出了一种用于采样电子数据的库存优化解决方案。对于ABC分类,提出了排序和层次分析过程（AHP）的组合。在此基础上,针对不同类型的库存开发相应的库存管理策略,其中使用多准则库存分类（MCIC）方法的AHP用于加权产品。根据分类指数,随后使用随机建模工具（q,r和t,s）来计算来自分类消费电子产品的重新订购点...
【文章来源】：北京交通大学北京市 211工程院校 教育部直属院校
【文章页数】：76 页
【学位级别】：硕士
【文章目录】：
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
学位论文数据集
本文编号：3420167
【文章来源】：北京交通大学北京市 211工程院校 教育部直属院校
【文章页数】：76 页
【学位级别】：硕士
【文章目录】：
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
学位论文数据集
本文编号：3420167
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