Intelligent Decision-Making in Warehouse Management: How AI Automation Improves Inventory Tracking, Order Fulfillment, and Logistics Efficiency Compared to Drone Technology

This paper analyzes how artificial intelligence (AI) automation can improve warehouse management compared to emerging technologies like drone usage. Specifically, we evaluate AI’s impact on crucial warehouse functions—inventory tracking, order fulfillment, and logistics efficiency. Our findings indicate AI automation enables real-time inventory visibility, optimized picking routes, and dynamic delivery scheduling, which drones cannot match. AI better leverages data insights for intelligent decision-making across warehouse operations, supporting improved productivity and lower operating costs.

Revenue management method and critical techniques of railway passenger transport

Purpose–Revenue management(RM)is a significant technique to improve revenue with limited resources.With the macro environment of dramatically increasing transit capacity and rapid railway transport development in China,it is necessary to involve the theory of RM into the operation and decision of railway passenger transport.Design/methodology/approach–This paper proposes the theory and framework of generalized RM of railway passenger transport(RMRPT),and the thoughts and methods of the main techniques in RMRPT,involving demand forecasting,line planning,inventory control,pricing strategies and information systems,are all studied and elaborated.The involved methods and techniques provide a sequential process to help with the decision-making for each stage of RMRPT.The corresponding techniques are integrated into the information system to support practical businesses in railway passenger transport.Findings–The combination of the whole techniques devotes to railway benefit improvement and transit resource utilization and has been applied into the practical operation and organization of railway passenger transport.Originality/value–The development of RMRPT would provide theoretical and technical support for the improvement of service quality as well as railway benefits and efficiency.

Methods of vendor managed inventory control in supply chain management

By inducing the typical inventory control problem - the bullwhip effect, this paper presents vendor managed inventory (VMI) control methods on the basis of traditional methods of inventory management methods, constructs a VMI mathematics model, and analyzes the influence of VMI on inventory cost and channel profit. Finally, a special case is studied to verify that VMI is an effective supply chain strategy that can not only increase channel profit of supplier and customer but also improve full channel coordination, thereby reducing the bullwhip effect.

A Model on Inventory and Supply Management under VMI Tactics

This paper puts emphasis on how to arrange the stock and supply to the customer rationally under the VMI tactics. Having considered the supplier＇s delivery expenses, memory expenses and loss in short supply in model, the minimum total cost goal model of supply chain has been put forward using method of storing theory to charge example test the method of solving and analyzing the conclusion to propose.

Repealing the LIFO Inventory Accounting Choice? A Review of LIFO and Inventory Management

Researchers in the disciplines of both Operations and Accounting have studied Inventory Management, though in relative isolation. In this paper, one of our goals is to help inform researchers in Operations Management about an extensively debated question in inventory accounting: whether to repeal the LIFO (Last-In-First-Out) inventory accounting choice? This question has received extensive scrutiny from various stakeholders including academics, businesses, and different levels of governmental agencies such as US Congress. Specifically, we provide a literature review on how LIFO affects and is affected by inventory management. This is done by first reviewing the potential determinants of LIFO inventory accounting choice and then reviewing potential interactions between LIFO and inventory management. It is our hope that this review will help stakeholders have a more comprehensive understanding of LIFO before making their decisions.

Research on inventory management and demand forecasting

With the rapid economic development and the increasing speed and scale of grid construction, material procurement and management, cost control is facing new demands and challenges.This paper proposes on innovative management and forecasting methods, from inventory management and demand forecasting perspective supplies,through these two key nodes in-depth research and analysis, this paper provides a theoretical support for the realization of effective materials management.

Inventory Management and Demand Forecasting Improvement of a Forecasting Model Based on Artificial Neural Networks

Forecasting is predicting or estimating a future event or trend.Supply chains have been constantly growing in most countries ever since the industrial revolution of the 18th century.As the competitiveness between supply chains intensifies day by day,companies are shifting their focus to predictive analytics techniques to minimize costs and boost productivity and profits.Excessive inventory(overstock)and stock outs are very significant issues for suppliers.Excessive inventory levels can lead to loss of revenue because the company's capital is tied up in excess inventory.Excess inventory can also lead to increased storage,insurance costs and labor as well as lower and degraded quality based on the nature of the product.Shortages or out of stock can lead to lost sales and a decline in customer contentment and loyalty to the store.If clients are unable to find the right products on the shelves,they may switch to another vendor or purchase alternative items.Demand forecasting is valuable for planning,scheduling and improving the coordination of all supply chain activities.This paper discusses the use of neural networks for seasonal time series forecasting.Our objective is to evaluate the contribution of the correct choice of the transfer function by proposing a new form of the transfer function to improve the quality of the forecast.

Inventory Management Standardization and Its Application

With the continuous acceleration ofglobal material movement,logistics has becomethe main artery and one of the key industries in thedomestic economy.Its evolution has become a sig-nificant indicator of the country’s modernization andeconomic development efficiency.Inventory man-agement,a vital business unit for most produc-tion-oriented enterprises and service enterprisesproviding logistics,has become an important evalu-ation indicator of logistics management.In the com-petitive market,excellent inventory management ofenterprises is of great significance.In the advent ofnetworking and the emergence of the informationera have forced higher requirements in inventorymanagement.The efficiency and systematic opera-tion of inventory management must be based onstandardization and must utilize advanced scientificand technological measures to achieve greater effi-ciency with lower costs and higher revenue.

Vendor managed inventory and bullwhip effect

This paper studies that the bullwhip effect of order releases and the amplifications of safety stock arise within the supply chain even when the demand model is ARIMA(0, 1, 1) and the forecast method used is a simple exponentially weighted moving average. It also examines a vendor managed inventory (VMI) program to determine how it can help alleviate such negative effects, and gives the theoretical proofs and numerical illustrations. The results show that the effects with VMI are better than the effect without VMI in demand forecasting and safety stock levels, etc.

Quantity-based shipment consolidation and stock replenishment policy with lead time in vendor-managed inventory system

In order to let the supplier make more reasonable supply decisions,an integrated continuous replenishment policy for the vendor-managed inventory system is presented,which considers the quantity-based shipment consolidation and stock replenishment with lead time.Then the system cost is analyzed and a mathematical model is built.Since the model is rather complex,the bounds of the optimal policy are first attained,then the problem is solved by a heuristic algorithm.Through experiments the relationship between the order lead time and the corresponding integrated policy is discussed,and the influence on the system cost is also analyzed.The results reveal that the lead time's influence on the system is more serious with the increase of the order lead time,the integrated policy with the order lead time is more reasonable and the optimal policy can minimize the total system cost.Finally,the parameter sensitivity of the model is analyzed.

Optimization purchase price and the profit policy undervendor managed inventory

The optimization policy of the purchase price and the profit under vendor managed inventory(VMI) is studied. For a salable product, supply chain mode of VMI is established, which is based on deterministic demand, having initial stock and having stock-out cost. With the further analysis of the mode, VMI is found to increase profits of the buyer in the short-term motivation. But VMI will reduce profits of the supplier under the matching condition. And in the short-term motivation, VMI will increase the purchase price to compensate the transfer cost of the supplier. As a result, the foundation of theory is provided to implement VMI in the supply chain, and have some definituded project significance.

Effects of forest management on biomass stocks in Romanian beech forests

Background: Forest management aims at obtaining a sustainable production of wood to be harvested to generate products or energy. However, the quantitative influence of forest management and of removals by harvest on biomass stocks has rarely been analysed on a large scale based on measurements. Two hypotheses prevail: management induces a reduction of wood stocks due to cuttings, versus no impact because of increased growth of the remaining trees. Using data collected for 2840 permanent plots across Romania from the National Forest Inventory representing^2.5 Mha, we have tested to what extent different management types and treatments can influence the biomass stock and productivity of beech forests, and attempt to quantify these effects both on the short and long terms. Three main types of beech forest management are implemented in Romania with specific objectives: intensive wood production in production forests, protection of ecosystem services (e.g. watersheds, avalanche protection) in protection forests, and protection of the forest and its biodiversity in protected forests. Production forests encompass two treatments differing according to the stand regeneration method: the age class rotation management and the group shelterwood management. Results: We show that forest management had little influence on the biomass stocks at a given stand age. The highest stocks at stand age 100 were observed in production forests (the most intensively managed forests). Consequences of early cuttings were very short-termed because the increase in tree growth rapidly compensated for tree cuttings. The cumulated biomass of production forests exceeded that of protected and protection forests. Regarding the treatment, the group shelterwood forests had a markedly higher production over a full rotation period. The total amount of deadwood was primarily driven by the amount of standing deadwood, and no management effect was detected. Conclusions: Given the relatively low-intensity management in Romania, forest management had no negative impact on wood stocks in beech forests biomass stocks at large scale. Stand productivity was very similar among management types or treatments. However cumulated biomass in production forests was higher than in protection or protected forests, and differed markedly according to treatments with a higher cumulated biomass in shelterwood forests.

Working Capital Management and Firms’ Profitability: Evidence from Quoted Firms on the Nigerian Stock Exchange

Over the years, it appeared that firms failed to subject short-term investments to proper management thereby leading to either excessive or inadequate working capital which in turn affected their profitability. To empirically satisfy this, this paper examined working capital management and firms’ profitability in Nigeria quoted firms on Nigerian Stock Exchange (NSE). A panel data methodology was used with different regression estimators to analyze this relationship based on a balanced panel of 10 listed firms during the period 2008-2017. It was discovered that cash collection period and cash payment period exerted a negative impact on return on assets, though the impact was only significant for cash payment period on the ground of −0.064 (p = 0.000 −0.032 (p = 0.077 > 0.05). Also discovered was that both the current ratio and inventory period exerted a positive impact on return on assets, though the impact was only significant for current ratio on the ground of 8.172 (p = 0.000 0.05). The study concluded that working capital management affected firms’ profitability in Nigeria. Therefore it was recommended that while the shorter collection was maintained, payment to creditors should not be elongated so as to enjoy cash discount (if any) and that firms should be proactive in the management of raw materials in order to avoid idle resources that might negatively impact their financial performance.

Risk management of stock index futures

The Hong Kong Hang Seng index futures is taken as a study object and a method of empirical analysis is adopted in order to verify the validity of the application of the value-at-risk (VaR) method in the risk measurement of the stock index futures market. The results suggest that under normal market conditions it is feasible to apply the VaR method in the measurement of the market risks of stock index futures. The daily VaR value of the stock index futures provides a foreseeable profit and loss of the stock index futures. Financial supervisors can adjust their supervising strategies according to the daily VaR value. The speculators can adjust risk capital reserve rates in the same way. The application of this method in China's stock index futures market requires the solutions to specific problems: the absence of historical data, the difficult confirmation of non-risk interest rates etc.

Modeling a Dynamic Supply Chain Management System for an Utility Company in Nigeria

Service and repair companies, big stores, industries and power companies having complex issues on inventory brought this idea for solution. The inventory department of PHCN generating unit has obsolete and sometimes non-availability of materials. The company faces maintenance, repairs, replacement demands and outage-related problems. In order to cater for these demands, some classifications that would aid PHCN in making effective decisions as regards spare or service parts were made. This research has developed inventory control system that provides automated inventory management system and graphical interface ability for decision making. This is to “right-size” inventories such that the total level of inventory held can be reduced and replenished without exposing the company to risk of stock-out. The system is a model for dynamic supply chain management using spare parts inventory policy tools to enable PHCN to dynamically perform continuous review, one to one lot, service differentiation, backordering, demand lead time, threshold rationing and clearing mechanism.

Logistics Management in the Ghanaian Construction Industry

In the field of the construction industry, logistics management has become an issue of concern which needs to be focused on in order to ensure effective, successful and timely execution of projects in the construction industry. Logistics management in construction is a multidisciplinary process which makes sure things are done at the right time, cost and quality as well as material supply and handling, schedule control, site infrastructure and equipment location, site physical flow management, traffic arrangements on and around the construction site, and information management related to all physical and services flow. This paper seeks to identify and evaluate the possible factors that affect logistics management in the construction industry and also to ascertain the current practices of inventory management and the effect on logistics management envisage by construction personnel’s and stake holders. A descriptive survey research was conducted with both structured and unstructured questionnaire and administered both via e-mail and by sending questionnaire link onto a WhatsApp platform groups of the respondents, and out of the 187 respondents that took part in the survey, 22 respondents feedback were incomplete so 165 member respondents results were analyzed representing 88.2% response rate. The survey results were analyzed, displayed and interpreted in the form of tables, bar charts, column chart and pie chart with the use of SPSS software. The research survey respondents were comprised of Project Managers, Project Coordinators, Foremen, Site Managers/ Officers, Logistics Managers, Inventory Managers and Laborers. The survey results revealed that majority of the total respondents are in the capacity or position as Logistics Managers and also have from 5 to 10 years working experience, and as well majority of the respondents have also attained Master’s degree qualification. It was also revealed that logistics management is greatly affected by the inability or the failure to embrace, adopt and integrate new and emerging technology and its approach into the logistics management system. Majority of the respondents also indicated that in general the adequacy of inventory management system was dissatisfied representing 63.8% of the total respondents. The construction industry not only needed to improve its inventory management systems but also to ensure appropriate inventory management techniques for enhancing high degree of accuracy, reduced cycle times and replenishment of stock. This usually accounts for the poor delivery and quality of work, accompanied with delays and other associated losses in project construction. For effective Logistics management to be achieved in the construction industry, the introduction of modern technology to carry out logistics functions in the construction industry should be paramount to the industry players.

Prototype Road Surface Management System

The Road Surface Management System (RSMS) is a powerful tool that can provide an overview and rough estimate of a roadway system’s condition at the network level and the approximate costs for future improvements in towns and small cities. This helps municipalities and local agencies to apply limited budget resources and provide the greatest road quality benefits. To control the cost of roadway surface deterioration, local agencies and municipalities need to make cost-effective decisions regarding the maintenance, rehabilitation, and reconstruction of the roadway network. RSMS can help in assessing the condition of the network, weighing alternatives, and establishing long-term treatment plans and budgets. In this paper, RSMS is used to evaluate a university campus road network in the state of Idaho and to establish the necessary repair methods for 10 selected sections in the campus network.

基于零库存目标的体外诊断试剂供应链质量评价与改进研究

目的:制定体外诊断试剂供应链的零库存管理目标,评价供应链质量,改进试剂供应中存在的问题。方法:从体外诊断试剂的库存量、供应效率和产品质量方面分析体外诊断试剂管理中存在的问题,制定医院运营、管理质量和患者利益最优化的管理体系,构建零库存管理路径和质量评价模型。选取2020年1月至2023年3月江苏省苏北人民医院采购的21种类型85个型号的体外诊断试剂,根据供应链质量管理方式不同,分别采用按需库存管理模式(模式1)和零库存管理模式(模式2),对比两种管理模式的需求采购、库存管理和临床使用效果。结果:采用模式2管理方式的体外诊断试剂的采购需求达标率、供应能力优质率和临床使用匹配度分别为(93.35±3.62)%、(94.87±2.63)%和(96.08±2.31)%,均高于模式1,其差异有统计学意义(Z=2.489、2.836、2.838,P<0.05),存产品长期积压、环境不达标和信息不及时的例数分别为(2.92±2.54)例、(2.83±1.59)例和(5.58±3.12)例,均低于模式1,其差异有统计学意义(Z=2.959、3.037、3.703,P<0.05);临床科室、医技科室及采购中心对模式2的体外诊断试剂的供应配送和信息沟通的满意度分别为97.8%和93.3%、97.0%和87.9%、100%和84.6%,均高于模式1,其差异有统计学意义(χ^(2)_(临床科室)=5.428、6.133,χ^(2)_(医技科室)=3.958、3.937,χ^(2)_(采购中心)=5.159、4.996,P<0.05)。结论:零库存管理模式能够提高体外诊断试剂需求采购的规范性,降低库存管理中积压失效问题的发生率,提升临床供应服务质量。

我国化工园区减污降碳技术路径研究

化学工业是推动制造强国战略实施的重要支撑,化工园区是新型工业化的关键载体,开展化工园区减污降碳技术应用研究具有重要的现实意义。本文针对化工园区减污降碳面临的资源利用率低、减污和降碳协同性差、末端治污成本高、环境安全与风险突出等挑战,分析了化工园区碳和污染物产生的特点并梳理相关研究进展,剖析了减污降碳协同增效的内涵。在此基础上,建立了基于一般性工业过程的分析框架,以物质、能量代谢过程为纽带,从企业生产、基础设施、产业共生等层面演绎提出了化工园区减污降碳的技术路径:建立化工园区内企业的碳、污染物排放清单;集成优化化工园区的技术与产业结构,加强绿色低碳生产技术开发、基础设施升级共生、企业间合作、减污降碳与安全生产统筹、产品‒产业‒空间结构优化;开展全生命周期减污降碳成本效益评估。选取杭州湾上虞经济技术开发区为典型案例,总结了化工园区减污降碳技术路径的应用实践,进而提出了化工园区减污降碳实施路径建议:完善精细计量体系,加强化工园区物质流管理;强化化工园区共生链接,运用系统工程赋能减污降碳;激发系统效率变革,推动化工园区绿色高质量发展。

高血压患者规范管理与家医签约一体化的现况调查

目的了解北京市月坛地区高血压患者进行家医签约的一般现状,探索高血压管理与家医签约的整合现况,为提高高血压管理效率、促进家医签约服务的可持续发展探索切合社区实际工作的方法。方法采用现况调查的方法,对2022年6—8月在月坛社区卫生服务中心进行电子签约家医服务的高血压患者进行问卷调查。问卷包括基本情况、高血压诊疗服务及需求、高血压知识知晓情况及家医签约服务满意度。结果在签约家医服务的高血压患者中,失眠和使用降压药物种类对血压的控制差异有统计学意义(P<0.05)。高血压患者对高血压相关用药知识的知晓率为20.45%,对其危险因素的知晓率为43.18%,对其并发症的知晓率为33.64%。高血压患者且对诊疗预约服务和微信服务有较大需求。高血压患者对原有家医签约服务满意度得分的中位数为93分。结论应积极控制高血压患者的失眠情况及使用降压药物的种类,充分利用家医签约服务微信群及时增强诊疗预约和健康教育能力,促进高血压管理与家医签约的充分融合。