Inventory Stock Research Articles

Soil Carbon within the Mangrove Landscape in Rufiji River Delta, Tanzania

Mangroves are among the most carbon-rich terrestrial ecosystems, primarily attributable to the soil pool. There are substantial differences in soil carbon (C) and nitrogen (N) due to the disparities in geomorphic settings and ecological drivers, but this insight is drawn primarily from observational studies. An objective inventory of carbon stocks in mangroves of the Rufiji River Delta, Tanzania was conducted. Seventy-five soil cores were collected within a 12,164 ha inventory area, comprising the northern portion of the delta. Cores were collected from intact and dwarf mangroves, agricultural fields, and mudflats. The spatial mean soil organic carbon (SOC) density in mangroves was 16.35 ± 6.25 mg C cm−3. Mean SOC density in non-vegetated mudflats was 12.16 ± 4.57 mg C cm−3, demonstrating that mangroves develop on soils with a substantial soil C stock. However, long-established mangroves had had a higher C density (17.27 ± 5.87 mg C cm−3). Using a δ13C mixing model, the source of soil organic matter in mudflats was primarily marine, while long-established mangroves was predominantly mangrove. There were small differences in SOC among long-established mangrove sites in different geomorphic settings. The proportion of marine-sourced SOC increased with soil depth in mangroves. The SOC and nitrogen of agricultural sites resemble those of mudflats, suggesting those sites are developed from relatively young forests. The SOC and nitrogen density in dwarf mangrove sites were lower than others, perhaps reflecting past disturbances.

DEVELOPING SOFTWARE TO SOLVE CERTAIN PROBLEMS OF INVENTORY MANAGEMENT

In modern conditions of intensifying competition in consumer markets, stable operation of enterprises is ensured by the implementation of strategies for maximum satisfaction of consumer demand for goods and related services. Planning such strategies requires improvements in various enterprise systems, in particular, the inventory management system based on the rationalization and optimization of product flows, use of appropriate models and methods for these tasks. Every company strives to satisfy the customer at the highest possible level. This task requires a significant investment in inventory. At the same time, an equally important task is to find new opportunities to reduce all types of costs and increase profits, therefore, from the point of view of finance, the ideal state is when there is no stock while the production needs of the company are met in full. But such a situation is absolutely impossible in real conditions. In order to work as efficiently as possible and reach acceptable financial indicators, it is necessary to effectively manage inventory stock at the enterprise. An essential feature of inventory modeling process is uncertainty in real conditions, which is associated with the inaccuracy or incompleteness of information about demand, supply, time delays of ordered goods, product spoilage and other parameters of the logistics system. This necessitates an effective inventory management mechanism in conditions of uncertainty. Solving this problem requires calculation of exact date and quantity of each subsequent order. Most modern software packages for inventory management are quite difficult to understand or require large financial expenses. In addition, most practical applications are designed for deterministic parameters of demand and production schedule. In fact, demand has a high level of uncertainty, which requires improved algorithms using stochastic theory of inventory management. Thus, a number of issues related to this field still remain unresolved or incompletely resolved. Most publications consider the classic toolkit with some well-known modifications. However, classic models are quite difficult to apply in in real life because the ideal conditions are difficult to achieve in practice. The models do not take into account the limitations imposed by internal and external factors. Based on this, we have created software that would perform the required task. The final product of the research is a software product that enables warehouse operators and managers to optimize drafting a schedule of production inventory deliveries in conditions of demand uncertainty, as well as controlling deliveries based on an economic-mathematical model of inventory management in conditions of demand uncertainty. The software is able to determine the optimal period of delivery of several types of resources, total costs for storage and ordering, the effect of the obtained savings, speeding up and simplifying the dispatcher's work.

Development of Automatic Real Time Inventory Monitoring System using RFID Technology in Warehouse

RFID technology is one of the technologies in logistics as an important application in logistics operations and supply chain management. The application of RFID technology can be applied to the inventory control monitoring system in real-time. The inventory monitoring information system can replace the manual system with a computerized system so that the processing of monitoring data is more efficient, effective, and can be controlled directly and accurately. This study presents a case study of a real stock monitoring system based on RFID technology. The design of a real-time stock monitoring system is transitioning from manual to technology by involving computerization in its implementation. This study aims to design an RFID-based real-time stock monitoring system and integrate warehousing systems in the company. The real-time inventory stock monitoring system is still developing, so a simulation is carried out to compare the existing data with the data from the RFID system. We used the existing warehouse layout to try the efficiency of the RFID stock monitoring. Based on the research results, the RFID system increases the efficiency and effectiveness of inventory control. In further research, it is necessary to integrate the inventory optimization model with real-time inventory control with RFID. The integration of real-time monitoring technology can be used as input to the inventory optimization model to be more accurate in providing purchasing policies.

Electronic inventory control systems as a competitive tool for e-retailers

Despite technological advances, some e-retail organisations are still struggling to improve their inventory control performance due to a limited application of such technology, a lack of relevant skills and inadequate supply chain management policies. This article explored how EICS can enhance the competitiveness of an online retailer. Adopting the qualitative paradigm, data was collected through semi-structured interviews. Consequently, data analysis entailed identifying common patterns within the responses and critically analysing them to achieve the research objectives. The findings revealed that with the implementation of EICS, the organisation could oversee inventory stock cycle transactions, perform a transparent inter-branch transfer and security control. Also, the vital competitive advantages, achieved through EICS implementation, include high customer satisfaction due to faster system services rendered than previously. Likewise, a rise in customer service efficiency and higher customer loyalty rates. In sum, this research supports the idea that EICS technology is an essential ingredient for e-retailers to thrive and compete. A major recommendation is for e-retailers to clearly define the attributes and metrics of their inventory control performance in line with inventory control objectives as the EICS competitiveness framework.

DETERMINATION OF ATTITUDE OF COMMUNITY PHARMACISTS TO MEDICINE INVENTORY MANAGEMENT IN DELTA STATE, NIGERIA

Background: The current global economic recession and harsh practice environment have imposed a demand on community pharmacy to ensure efficient and effective drug stock (inventory) management to enhance cost savings for valuable professional profit advantage.
 Objective: This study presents the determination of the attitude of community pharmacists on medicine inventory management.
 Methods: A cross-sectional descriptive survey of 125 community pharmacists selected using a simple random sampling method. The primary data were collected with the aid of a pretested semi-structured questionnaire. The sample size was determined using the Taro Yamane’s formula for a finite population. The questionnaire comprises three main sections to study the attitude of community pharmacists to medicine inventory management and are designed using simple statements on a Likert-type scale with five alternative responses having weights scores of 0-4. The collected data were subjected to descriptive and inferential analysis with a significance level of 5% using the Statistical Package for the Social Sciences (SPSS) version 21.0 for Windows (SPSS, Chicago, IL).
 Results: The response rate was 125 (96.2%) and the questionnaire reliability was 0.97. Most respondents were located in Warri 69 (75.2%), with almost evenly split sex categories with the male 70 (56.0%) being slightly more, age distribution almost bell-shaped with the 30-39 years range being the modal range. Most of the survey respondents were superintendents 98 (78.4%), computer 79 (63.2%) usage in their premises with 67(84.8%) being used for inventory management purposes. Community pharmacists showed a negative attitude (MWA=2.46) towards inventory management with a significant association with the gender respondents (x2=9.32, p=0.01) however, males being more negative than females. The result shows that the community pharmacists in Delta State had a negative attitude towards inventory management. Adequate training through self-development is highly advocated.
 
 Peer Review History: 
 Received: 28 October 2021; Revised: 10 August 2022; Accepted: 6 September, Available online: 15 September 2022
 Academic Editor: Dr. Asia Selman Abdullah, Pharmacy institute, University of Basrah, Iraq, asia_abdullah65@yahoo.com
 UJPR follows the most transparent and toughest ‘Advanced OPEN peer review’ system. The identity of the authors and, reviewers will be known to each other. This transparent process will help to eradicate any possible malicious/purposeful interference by any person (publishing staff, reviewer, editor, author, etc) during peer review. As a result of this unique system, all reviewers will get their due recognition and respect, once their names are published in the papers. We expect that, by publishing peer review reports with published papers, will be helpful to many authors for drafting their article according to the specifications. Auhors will remove any error of their article and they will improve their article(s) according to the previous reports displayed with published article(s). The main purpose of it is ‘to improve the quality of a candidate manuscript’. Our reviewers check the ‘strength and weakness of a manuscript honestly’. There will increase in the perfection, and transparency. 
 Received file: Reviewer's Comments:
 Average Peer review marks at initial stage: 6.0/10
 Average Peer review marks at publication stage: 7.0/10
 Reviewers:
 Rusmir Baljic, Clinic for infectious diseases, Clinical center University of Sarajevo, Bosnia and Herzegovina. rusmir.baljic@gmail.com
 Dr. Govind Vyas, Compliance & Regulatory Officer Inva-Tech Pharmaceuticals LLC, New-Jersey, USA, govindvyas03@gmail.com
 Prof. Dr. Hassan A.H. Al-Shamahy, Sana'a University, Yemen, shmahe@yemen.net.ye
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Analysis Forecasting Sales With Single Exponential Smoothing Method

Currently, as we know that the use of computer-based systems, almost everyone's activities depend on computer-based systems. one that is currently very adequate in the use of the application is the sales system, in this research the problem faced by the company is the difficulty of determining the amount of inventory stock each month. The reason is because the number of types of goods is not small so this is the cause of the lack of fulfillment of consumer demand every day. Companies that do have a number of inventories whose stock or inventory is on a large scale, so it needs a special system in this control so that the required inventory is always met, the point is for the company's income to increase even more. Researchers as technology-savvy people provide ideas for companies to use a system that can minimize the lack of goods inventory. This is what the researcher wants to solve the problem with the single exponential smoothing method. Because the method used can do fortune-telling in the short term for example 1 month ahead. The results of this study succeeded in predicting the amount of inventory in stock every month.

Inventory Management with Trade Policy Uncertainty

AbstractThis paper develops a theoretical model to describe how exporting firms manage their inventory stocks in response to an exogenous trade policy uncertainty shock. Using firm‐level data from China Industrial Enterprise Database and China Customs Database on inventory and exports over the period around China's WTO accession, we show that a reduction in trade policy uncertainty significantly increased exporting firms' inventory holdings. The result was robust to various robustness checks. This effect was found to be stronger for private and foreign firms than state‐owned enterprises and mainly driven by firms from the coastal region. We also found that the reduction in trade policy uncertainty increased the frequency and the average volume of export transactions, and that this was the mechanism behind the effect. This paper helps to understand exporting firms' optimal inventory problem arising from trade‐policy uncertainty and shocks.

Anaesthetist’s adherence to aseptic ultrasound practices when performing Ultrasound Guided Peripheral Intravenous Cannulation (USGPIVC). A quality improvement project

Background: Sterile ultrasound covers and conducting mediums are recommended when performing ultrasound guided percutaneous procedures to minimise risk of infection to the patient. Purpose manufactured ultrasound transducer cover kits meet these requirements. Transparent dressings meet some of these requirements however, they are not approved for use as ultrasound transducer covers. We recognised that our departmental practice may not adhere to these standards. Objective: The primary objective was to identify and improve the rate of adherence to the recommended aseptic precautions by anaesthetists performing ultrasound guided percutaneous procedures at the Department of Anaesthesia, Royal Brisbane and Women’s Hospital, the largest tertiary referral hospital in Queensland, Australia. Secondary objectives were to identify types and rates of use of various probe covers and ultrasound conductive mediums used. Design: A complete quality improvement cycle was undertaken using a plan, do, study, act model. Methods: Firstly, a departmental wide voluntary survey was distributed in March 2019 focused on practitioner’s baseline aseptic practices for ultrasound guided peripheral intravenous cannulation (USGPIVC). Subsequently a suite of interventions were undertaken between May 2019 to April 2020 focusing on highlighting recommended aseptic practices through the use of high-quality sterile transducer covers and sterile conducting mediums for all ultrasound guided percutaneous procedures. Components of the intervention included the development of a departmental policy, educational activities, and improving equipment availability and access. A post- intervention follow up audit was repeated in April 2020 to measure changes in practice. Results: Of 134 anaesthetic consultants or trainees 58 completed the pre-intervention survey and 47 completed the post- intervention survey. After the intervention the use of recommended transducer covers and conducting mediums increased from 10.3% to 76.6% and 58.6% to 83.0% respectively. Participants were more likely to choose both a recommended transducer cover and conducting medium than at least one non-recommended option ([OR] 20.4, 95% CI: 7.1 - 58.4). There was a 122% increase in the number of recommended transducer cover kits ordered when comparing stock inventory over a six-month period before and after the intervention. Conclusion: Adherence to the recommended aseptic precautions for USGPIVC improved after the implementation of educational interventions.

Critical evaluation of ecosystem changes from an offshore wind farm: producing natural capital asset and risk registers

Offshore wind infrastructure modifies benthic habitats, affecting ecosystem services. A natural capital approach allows risks to nature-based assets and ecosystem benefits to be assessed. The UK Natural Capital Committee produced guidance for conducting natural capital assessments to aid decision making processes. Development of an asset register and risk register are key components of this methodology. The former provides an inventory of NC stocks, and the latter considers the likelihood of changes and the scale of their impact on delivery of ecosystem services. In this study, suitability of the methodology in a marine environment context was critically evaluated. Natural capital stocks before and after installation of Greater Gabbard offshore wind farm were compared and risks to delivery of ecosystem services were assessed. It was demonstrated that incorporating an assessment of impacts on natural capital assets in planning and management decisions (as an extension to traditional environmental impact assessment approaches) could further facilitate sustainable use of marine ecosystems. For example, by preventing access to bottom-trawl fisheries activities, wind farms may promote recovery and increase value of seabed natural capital assets. By also introducing aquaculture systems loss of food provision (from reduced fishing activity) could be offset whilst allowing benthic natural capital assets to recover. Natural capital assessment is relevant to the marine context. However, application of the Natural Capital Committee’s methodology was constrained by the limited coverage of standard benthic sampling tools. Given the scale of wind energy plans across the marine environment it is recommended that these shortcomings are appropriately addressed.

The Influence of Individual Characteristics, Work Placement and Work Environment on Employee Performance at CV. Enam Jaya

The purpose of this study is to see how individual characteristics, work placement, and work environment affect employee performance. CV. Enam Jaya has employees with characteristics who are less careful in recording stock inventories, so they often experience cases where the stock reports do not match the warehouse stock, lack of work among employees, which results in many pending tasks, lack of planning in carrying out tasks. In terms of an inadequate work environment such as lack of air cleanliness in the room, hot air temperature and disturbing noise. CV. Enam Jaya has a population of 50 employees using the quota sampling technique which is used in research that has a limited number of samples. The data processing method in this study used Minitab version 20. The research data used were primary data obtained through distributing questionnaires. The analytical tool used is multiple linear regression test. The results of the study indicate that: There is a positive and significant effect of the Work Environment on Employee Performance, but there is no influence of Individual Characteristics and Work Placement on Employee Performance.

InVEST Soil Carbon Stock Modelling of Agricultural Landscapes as an Ecosystem Service Indicator

Soil carbon storage results from interactions between ecological processes and contributes to the global chemical regulation of the atmosphere, a vital ecosystem service. Within the ecosystem services approach, measuring soil carbon stock is used as an indicator of landscapes that function as terrestrial carbon sinks and sources. Soil carbon stock models of agricultural landscapes use national carbon stock data and are used to determine environmental benchmarks and develop land-use management strategies for improved landscape-scale carbon sequestration. The InVEST Carbon Storage model has been used as a tool to map carbon stock based on these data. However, the accuracy of the national carbon inventories of Hungary is unknown. In this study, the InVEST soil carbon stock models of two agricultural landscapes in Hungary were produced based on national soil carbon stock data and in-field collected soil sample carbon stock data. Carbon stock inventories were collated and used as InVEST carbon model inputs, and the models were mapped, compared, and evaluated to determine their usefulness in the planning of maximizing soil carbon storage in sustainable land-use management and policy development. Five InVEST soil carbon stock spatial models were produced for both agricultural landscapes, which showed great variation based on the data used to develop it. Aggregate carbon stock potentially stored in the landscape-scale study areas also varied between datasets used. Integrating soil sample data along with national carbon stock data shows prospective applicability in assessing contextual landscape-scale potential soil carbon stock storage.

RANCANG BANGUN SISTEM INFORMASI INVENTORI PADA CV. MORIA BERBASIS JAVA

—Along the development of information technology in this era, it’s increasingly familiar with the use of computer-based programs that function to support the performance of an office or company so that it can run according to the desired target. One example of the use of information technology is the management and storage of web-based inventory data because manual inventory of goods is inefficient, often losing important documents. Therefore, the author intends to conduct research on the design of information systems in CV. Moria. So, it’s hoped that this java-based application can reduce the occurrence of errors and can provide convenience in processing data in an organized and efficient manner for office inventory management. Based on the research that has been done, the office inventory information system in CV. Moria. This information system is made web-based so that it can be accessed via smartphones or computers. This system was also created to make it easier to control inventory stock. The information generated from this information system is available stock data, incoming goods transaction data, and goods transaction data used.

Analisis Manajemen Inventory Spare Parts Alat Berat Pelabuhan Model Consignment Stock Guna Meminimumkan Total Inventory Cost (TIC) di PT XYZ

ABSTRACT
 PT. XYZ is a service company engaged in the maintenance of port heavy equipment and modification of port heavy equipment as well as procurement of spare parts for port heavy equipment. In 2018 along with improving the work performance of PT. XYZ expands its wings to civil works in the port sector, starting from dock repair work, maintenance of port accessories, construction of structures and reclamation. In a maintenance service company and the provision of spare parts for port heavy equipment, the company's inventory must be guaranteed. at each site PT. XYZ especially PT. X has a limited warehouse, so it must maximize the company's inventory. In the company's existing condition, the amount of inventory still exceeds the number of user requests which will accidentally fill their warehouse and will increase the Total Inventory Cost (TIC). With this problem, TIC depreciation will be carried out with a periodic review policy (R, s, S) and a periodic review policy with a consignment stock inventory system. Based on the above method, the original TIC amounted to Rp. 43,063,451 with the periodic review method of TIC amounting to Rp. 38,318,736 or decreased by 11% and if using the periodic review method with the inventory consignment stock TIC system, the amount was Rp. 36,987,546 or decreased by 13%.

Penerapan Sistem Informasi Akuntansi Berbasis Accurate Terhadap Penyusuanan Laporan Keuangan

Small and Medium Enterprises have increased, but few MSMEs have implemented accounting systems. Accounting Information System is increasingly increasing in the field of accounting certainly makes it easier for companies to produce financial reports in addition to facilitate the recording and can find out the company's financial condition. Financial statements that contain financial statements, company performance, and changes in financial position, inventory, and profits obtained which can help the company's internal parties in making decisions.
 Almuhajir Tugujaya Convection is a manufacturing company where the company produces clothing and shoes. The recording applied by the Almuhajir Tugujaya Convection is still done manually with the excel program, and only records cash receipts and disbursements, so that the owner does not know for sure the inventory, profits and losses obtained. Manual recording results in recording errors and the risk of data loss. The method used by the author in this study is qualitative with the type of case study. The data obtained is processed and then implemented into Accurate 4.0 Software. From this study, it can be concluded that the application of Accurate Software in the Almuhajir Tugujaya Convection can produce Financial Statements in accordance with current standards, and company profits or losses.
 Research results, after using Accurate at Almuhajir Tugujaya Convection, computerized sales and purchases transactions make it easy to input transactions. Making different formulas for each production can make it easier to find out the inventory stock, and know the production costs of each product. The resulting financial statements are precise and accurate in accordance with current standards, and can help internal parties know the company's condition in making decisions. The risk of data loss and errors in recording can be prevented.
 
 Keywords:Financial Statement, Manufacture, Software Accurate Enterprise 4.0

Service at risk in delivery operations

AbstractThis article examines disruption risks at fulfillment centers and develops risk mitigation strategies based on inventory stocking and delivery decisions. It considers a Fortune 150 firm whose delivery operations are designed to fulfill the orders from contracted business customers within the next day. The firm promises its customers that the probability of late deliveries exceeding a certain threshold will be limited. We coin this requirement as the service‐at‐risk (SaR) constraint. The firm proactively determines the inventory amount to be kept in each fulfillment center. If a disruption occurs, the firm determines the best way to deliver orders from its operational fulfillment centers and vendors under disruption length and demand uncertainty to minimize additional costs and satisfy the SaR constraint. This article makes four main contributions. First, we find a surprising result that total inventory commitment can decrease with risk aversion when there exists a disruption possibility that impacts two nearby facilities together. Using actual data from the motivating firm, the numerical analysis demonstrates that this phenomenon exists in practice. Second, we define a new metric: The Risk Dispersion Index (RDI), which measures the dispersion in risk exposure across fulfillment centers. It leads to a lower and more balanced risk exposure in the firm's delivery operations. Third, we find that a facility may elect to abandon its own customers to serve the customers of a disrupted facility; this behavior becomes more prominent under risk aversion. Fourth, the introduction of demand uncertainty leads to a smaller inventory commitment for a risk‐neutral retailer.

Affordable Housing in India: A Beneficiary Perspective

Affordable housing is the need of the hour to overcome the existing housing crisis in India. About 95% housing shortage is observed in the economically weaker sections of the society. Housing for All scheme—Pradhan Mantri Awas Yojana, ushered in ample opportunities by establishing a lucrative model for all stakeholders. But only 38% of the sanctioned houses are constructed in the span of 5 years. Success of the scheme lies in appropriate identification of beneficiaries and creating a system with linkages for them to avail the benefits stated under the scheme. However, constructed units are lying vacant and an upsurge of 25% in unsold stock inventory is observed. Moreover, the focus of research has always been on supply side to aid the builders and financers in service delivery. This prompts a need to scrutinise the situation and identify the prevailing gaps. Interactions with stakeholders show the impediments in accessing the government affordable housing. The study has generated relevant insights from the users’ point of view regarding the various policy aspects which are yielding deviations from the outcomes as previously desired by the policy. The study is case-based orienting around affordable housing schemes in the city of Vadodara in Gujarat.

Earth observation for ecosystem accounting: spatially explicit national seagrass extent and carbon stock in Kenya, Tanzania, Mozambique and Madagascar

AbstractSeagrass ecosystems are globally significant hot spots of blue carbon storage, coastal biodiversity and coastal protection, rendering them a so‐called natural climate solution. Their potential as a natural climate solution has been largely overlooked in national and international climate strategies and financing. This stems mainly from the lack of standardized, spatially explicit mapping and region‐specific carbon inventories. Here, we introduce a novel seagrass ecosystem accounting framework that harnesses machine learning, big satellite data analytics and open region‐specific reference data within the Google Earth Engine cloud computing platform. Leveraging a biennial percentile composite, assembled from 16 453 Sentinel‐2 surface reflectance image tiles at 10‐m spatial resolution, and 20 820 reference data points, we applied the cloud‐native framework to produce the first national inventories of seagrass extent and total seagrass carbon stocks in Kenya, Tanzania, Mozambique and Madagascar. We estimated 4316 km2 of regional seagrass extent (mean F1‐score of 59.3% and overall accuracy of 84.3%) up to 23 m of depth. Pairing country‐specific in situ carbon data and our spatially explicit seagrass extents, we calculated total regional seagrass blue carbon stocks between 11.2–40.2 million MgC, with the largest national carbon pool in Kenya (8–29.2 million MgC). We envisage that improvements in the remote sensing components of the framework guided by a necessary influx of region‐specific data on seagrass stocks and fluxes could reduce uncertainties in our current spatially explicit ecosystem extent and carbon accounts, enhancing the incorporation of seagrasses into Multilateral Environmental Agreements for future resilient ecosystems, societies and economies.

Evaluation of inventory management practice in food processing industries in Lagos: Analytical hierarchy process approach

A survey of food processing industries was conducted to examine different inventory strategies in order to establish the most acceptable inventory practices in Lagos State, Nigeria. The criteria for selection of those inventory techniques are accuracy, cost, stock out, fraud, time, delivery, storage space, product type, features, efficiency, nature of production system, customer satisfaction, trained or qualified staff, the effectiveness of information technology system used, organizational factors, process capability, problem recurrence and characteristics of manufacturing systems. The purpose of the research is to select best inventory management practices in the food processing industry in Lagos State, Nigeria. Structured questionnaires were designed and given to various category of managers in one hundred and fifty (150) food processing industries between the period of October 2020 to December 2020. The Analytical Hierarchy Process (AHP) steps were implemented using Spice Logic Software to compute the criteria weights, criteria priority and the overall priority for inventory alternatives practiced. Based on the highest overall priority, the Analytical Hierarchy Process indicates that the best inventory strategies are Economics Order Quantity (EOQ), Minimum Order Quantity (MOQ), First-in-First Out / Last-in-First Out (FIFO/LIFO), and Safety Stock Inventory, in that order to enhance food processing industry for optimal production or manufacturing, preservation of foods, easy marketing and distribution tasks, increasing food consistency which includes availability of many foods, transportation of perishable foods over long distances, and ensuring the survival of modern supermarkets. The recommended inventory techniques for food processing industries are critical to minimizing inventory costs. As much as this study was designed for Lagos State, similar survey should be carried out for other states, including other industries apart from the food processing industries.

Arena Simulation of Spare Parts Inventory Management: A Case of A Telecom Managed Service Provider

Telecommunications and utilities companies, among other large service organisations, confront a slew of decision-making challenges, many of which are connected to the management of a variety of different resources. The management of spare parts and inventories is one of the most difficult resource management concerns that an organisation has to deal with on a regular basis. Their prompt availability may have a significant influence on the overall quality of the service and the level of client satisfaction. The purpose of the study was to assess the Spare Parts Inventory Management of XYZ company operating within the Ghanaian telecommunication ecosystem. Data on demand and inventory stock level was collected from the procurement department of XYZ company. The study adopted the use of the Arena Simulation model to analyze data collected from the XYZ company. The results of the analysis indicated that the procurement department is unable to meet the spare parts demand of the Passive department where the average order received from the department in a day is 6.08. Based on the findings of the study, it is recommended that the procurement department put in measure to receive and process orders in time. The reason for the delay in processing orders could be the less poor inventory management practices of the company. The study recommends that systems be adopted to track the inventory level of the company. Due to the stochastic nature of the demand from the passive department, the company should be proactive in the management of the demand by keeping the right stock level in order to meet the demand of the department in order to reduce the long down time. Key words: Spare parts, inventory, Arena Simulation, telecommunication DOI: 10.7176/EJBM/14-12-10 Publication date: June 30 th 2022

What's New in Orthopaedic Trauma.

What's New in Orthopaedic Trauma.