共查询到18条相似文献,搜索用时 203 毫秒
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基于企业全面库存的管理思想,对库存成本、库存控制、库存系统优化等管理经验与前人研究成果进行分析,借鉴先进企业的库存管理理念和方法,以大型制造企业为核心研究对象,在集供应商、制造商、经销商为一体的供应链作为研究框架的基础上,运用供应链系统理论作为研究方法,分析了库存管理现状、影响因素及产生原因,从优化生产管理、整合企业内部供应链和跨企业供应链的角度提出了库存控制的相应对策,以实现全面库存优化,提高经营效益. 相似文献
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本文研究了我国服装企业在供应链模式下的库存问题,并提出管理策略.以服装行业的经营与库存特点为依据,分析在供应链模式下服装企业通常采取的库存管理的策略及其优缺点.结合供应链管理中较为先进和适用的思想,给出服装企业在供应链管理模式下的库存管理策略的几点建议,可作为服装企业进行科学库存管理的依据. 相似文献
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基于企业全面库存的管理思想,对库存成本、库存控制、库存系统优化等管理经验与前人研究成果进行分析,借鉴先进企业的库存管理理念和方法,以大型制造企业为核心研究对象,在集供应商、制造商、经销商为一体的供应链作为研究框架的基础上,运用供应链系统理论作为研究方法,分析了库存管理现状、影响因素及产生原因,从优化生产管理、整合企业内部供应链和跨企业供应链的角度提出了库存控制的相应对策,以实现全面的库存优化,提高经营效益。 相似文献
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将汽车制造企业分为整车及零部件制造企业,库存分为原材料、产成品库存,采用Panel Data模型研究了我国汽车制造企业供应链库存管理及其与绩效的关系问题。研究发现:汽车制造企业供应链的库存周转率逐年提高,整车企业提高速度快于零部件企业,宏观经济因素不是影响库存周转率的主要因素;销售下降时库存周转率对销售变动率的影响更敏感。整车及零部件企业库存周转率与提前期、固定资产比重显著负相关;整车企业总库存周转率与供应商集中度显著正相关,零部件企业总库存周转率与销售商集中度显著正相关;零部件企业资产报酬率与产成品库存周转率显著正相关。 相似文献
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模糊需求环境下的多级供应链库存协调策略 总被引:1,自引:0,他引:1
研究一个由制造商、分销商和零售商组成的三级供应链系统在模糊需求环境下的库存策略及协调机制。将市场需求预测视为一个三角模糊数,利用模糊数学工具计算得到了供应链成员企业在面对模糊需求时最优决策的具体表达式。通过一个数值分析表明,在模糊需求环境下,转移支付同样可以实现供应链中各成员间库存的协调。 相似文献
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单周期随机需求下供应链库存协调机制设计 总被引:1,自引:0,他引:1
研究了单周期随机需求条件下两级供应链的库存协调机制设计问题.建立了基于弹性订货策略的供应链库存风险共担机制,并通过算例验证了弹性订货策略在供应链库存协调中的有效性.研究结果表明,在供应链上下游无合作时,需方承担全部库存风险,其个体理性的决策无法实现供应链的整体优化,而如果双方实施弹性订货策略,分担库存风险,则可以实现供应链的Pareto优化. 相似文献
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Managing product availability in an assemble-to-order supply chain with multiple customer segments 总被引:1,自引:0,他引:1
In this article, we propose a novel availability management process called Available-to-Sell (ATS) that incorporates demand
shaping and profitable demand response to drive better supply chain efficiency. The proposed process aims at finding marketable
product alternatives in a quest to maintain a financially viable and profitable product portfolio, and to avoid costly inventory
overages and shortages. The process is directly supported by a mathematical optimization model that enables on demand up-selling,
alternative-selling and down-selling to better integrate the supply chain horizontally, connecting the interaction of customers,
business partners and sales teams to procurement and manufacturing capabilities of a firm. We outline the business requirements
for incorporating such a process into supply chain operations, and highlight the advantages of ATS through simulations with
realistic production data in a computer manufacturing environment. The models featured in this paper have contributed to substantial
business improvements in industry-size supply chains, including over $100M of inventory reduction in IBM’s server computer
supply chain. 相似文献
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Mitali Sarkar 《国际生产研究杂志》2020,58(13):3821-3838
For a complex product production, any flexible manufacturing system with a work-in-process inventory is recommended for a supply chain management (SCM) system. Building a flexible manufacturing system increases the total cost of the supply chain; for this reason, a discrete investment is important. For flexible production systems, production rate within a finite specific interval of production rate as work-in-process inventory is calculated. The aim of the supply chain is to reduce the total cost when demand during the lead time is a random variable with a normal distribution. A crashing cost is utilised to reduce the duration of lead time within the supply chain system. A model is proposed to obtain the optimal flexible production rate with the reduced total cost of the supply chain. A classical optimisation technique is employed to obtain the closed-form and quasi-closed-form solutions of the decision variables. An improved algorithm is designed to obtain the global minimum cost of SCM under the framework of a flexible production system. An illustrative numerical example and sensitivity analysis are given to test the model. A numerical study proves that this model obtains the minimum cost with the optimal decision variables. 相似文献
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In today’s global competitive environment, supply chains are more susceptible to vulnerability due to the increasing occurrence of internal and external risk events. In addition, the trend associated with lean management, which involves reducing inventory, leads to more dependency of supply chain partners on each other which exacerbates risk exposure of companies in the supply chain. This creates the need for more effective management of supply chain risks. In this research, a methodology based on Bow-Tie analysis and optimisation techniques is proposed to quantify and mitigate supply chain risks. The proposed methodology takes into consideration risk interconnections, and it identifies the best combination of mitigation strategies under budget constraints. A real case study from a high-end server manufacturing environment is presented. Results from the case study showed that the proposed methodology for risk modelling and mitigation can effectively be used to quantify the risks and achieve the required risk reduction at minimum cost while considering risk correlations. 相似文献
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The Consignment Stock (CS) inventory policy is becoming an important strategy that companies adopt to face new manufacturing and supply chain management challenges. A CS policy implies great collaboration between the buyer and supplier, pushing them towards a complete exchange of information and a consistent sharing of management risks. In such a context, the effects of the obsolescence of products have to be carefully evaluated since they fall onto both actors, causing an increase in total supply chain costs. This paper proposes an analytical model able to take into account the effects of obsolescence in a supply chain managed with a CS policy. The deterministic single-vendor, single-buyer CS model is used as a base to develop the proposed model. A comparison with a non-obsolescence optimal solution available in the literature is presented. Moreover, the stochastic behaviour of the product lifetime estimation is also taken into consideration. Results demonstrate that the effects of obsolescence can consistently influence the global optimum condition. 相似文献
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With the development of global economy, supply chain, as a recognised complex system, is becoming more complex for analysis. In this context, it is worth introducing the perspective of complex system in perceiving and modelling of supply chain system to address its dynamic, stochastic and uncertain characteristics. Therefore, this paper proposes a methodological framework of supply chain modelling and simulation based on the fractal perspective, and presents an all-round and systematic exposition of concept modelling and distributed simulation by means of multi-agent technology. In this framework, different supply chain scenarios focusing on manufacturing, inventory and transportation can be easily modelled and simulated at different scales and levels. In addition, a prototype system which implements the methodological framework and the key implementation techniques are presented as well. Finally, a supply chain example, which supposes manufacturer as the core member, is modelled and simulated with the prototype system to illustrate the effectiveness of the proposed framework. 相似文献
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定义了供应链节点企业及整个供应链的“库存变异系数”,并且建立了供应链库存变异的灰色系统模型和“稳态库存链”的判别方法。 相似文献
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This study seeks to better understand the role of supply chain analytics (SCA) on supply chain planning satisfaction and operational performance. We define the architecture of SCA as the integration of three sets of resources, data management resources (DMR), IT-enabled planning resources and performance management resources (PMR), from the perspective of a resource-based view. Based on the data collected from 537 manufacturing plants, we test hypotheses exploring the relationships among these resources, supply chain planning satisfaction, and operational performance. Our analysis supports that DMR should be considered a key building block of manufacturers’ business analytics initiatives for supply chains. The value of data is transmitted to outcome values through increasing supply chain planning and performance capabilities. Additionally, the deployment of advanced IT-enabled planning resources occurs after acquisition of DMR. Manufacturers with sophisticated planning technologies are likely to take advantage of data-driven processes and quality control practices. DMR are found to be a stronger predictor of PMR than IT planning resources. All three sets of resources are related to supply chain planning satisfaction and operational performance. The paper concludes by reviewing research limitations and suggesting further SCA research issues. 相似文献