Dynamic Demand-Centered Process-Oriented Data Model for Inventory Management of Hemovigilance Systems

With the extensive use of relational databases in the business environment there is a need to reduce database complexity in order to avoid data inconsistency and redundancy, which can provide a company with unreliable and/or meaningless data and information. The use of the REA Data Model in database design can significantly help with this problem. The model can eliminate the need for unnecessary data artifacts which should only be generated by the system when needed. This paper also addresses the need for a Relational Database Complexity Metric. A simple and easy to understand metric is presented.

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Lane-Based Network for Flow Analysis and Inventory Management of Transportation Networks

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198105193500112 ◽

2005 ◽

Vol 1935 (1) ◽

pp. 101-110 ◽

Cited By ~ 2

Author(s):

Suphawut Malaikrisanachalee ◽

Teresa M. Adams

Keyword(s):

Inventory Management ◽

Data Model ◽

Flow Analysis ◽

Lateral Position ◽

Management Decision ◽

Practical Implementation ◽

Department Of Transportation ◽

Lateral Connectivity ◽

Management Decision Making ◽

Lane Based

The widely accepted link–node centerline network model inhibits lane-based traffic analysis and inventory management, specifically the ability to represent the availability of lanes, individual lane properties, connectivity among parallel lanes and at turns, and lane movement restrictions. A lane-based network overcomes the limitations by maintaining lanes as independent topological objects and thus supports data management, decision making, and network analysis at the lane level. The data model for a lane-based network uses a directed graph approach in which a set of unidirectional lanes and nodes is used to model traffic flow connectivity. The model manages the continuous lateral connectivity between parallel lanes by specifying the relative lateral position of the lanes on their parent roadways. This approach provides an efficient way to maintain lane topology and eliminates the requirement of turntables. This paper presents the model along with guidelines for lane-based inventory management and strategies for discretizing continuous lateral connectivity between parallel lanes to enable the use of existing routing algorithms (e.g., Dijkstra's). Finally, the paper presents a practical implementation built on the linear location referencing system of a state department of transportation.

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Linking Inventory Efficiency, Productivity and Responsiveness to Firm Performance in Pakistan

iRASD Journal of Management ◽

10.52131/jom.2021.0303.0045 ◽

2021 ◽

Vol 3 (3) ◽

pp. 285-301

Author(s):

Mirha Mubarak ◽

Naila Sadiq ◽

Syeda Fizza Abbas

Keyword(s):

Firm Performance ◽

Inventory Management ◽

Data Model ◽

Negative Relationship ◽

Financial Statements ◽

Control Measures ◽

Strong Positive Correlation ◽

Positive Correlation ◽

Main Components

Inventory is one of the most important current assets of any company, therefore, efficient usage and management of inventory are necessary for the long-term success of any business. This research links three main components of inventory management i.e. efficiency, productivity, and responsiveness to superior firm performance in terms of both operational and financial performance within the chemical sector of Pakistan. For this purpose, ten years of data from 2011-2020 was collected from the annual financial statements of 21 companies within the chemical sector to develop and examine a panel data model. The regression analysis provides strong evidence that both the inventory productivity and responsiveness measures positively and significantly result in firm outperformance. However, the correlation test suggests that there is a weak negative relationship between inventory efficiency and firm performance while inventory productivity has a strong positive correlation and inventory responsiveness has a weak positive correlation with firm performance. The research adds to the existing literature on inventory management by utilizing new inventory control measures in the context of a developing economy such as Pakistan.

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Creating an Affordable, User-Friendly Electronic Inventory System for Lab Samples

SLAS TECHNOLOGY Translating Life Sciences Innovation ◽

10.1177/2472630320973594 ◽

2020 ◽

pp. 247263032097359

Author(s):

Kate Dennert ◽

Logan Friedrich ◽

Rajeev Kumar

Keyword(s):

Inventory Management ◽

Data Model ◽

Data Entry ◽

Inventory System ◽

Reference Database ◽

Report Generation ◽

Physical Laboratory ◽

Wide Range ◽

Sample Characteristics ◽

User Friendly

Sharing physical laboratory space optimizes resource use among research departments, improves collaboration, and reduces costs. Universal inventory management is essential to successful space sharing, item tracking and availability, and data mining; therefore, our lab was interested in a tool for these purposes. Different research groups have differing needs, priorities, and considerations. We investigated prebuilt inventory management programs, and we found a custom Microsoft (MS) Access reference database to be optimal. We designed a custom MS Access abstract inventory data model around previously established needs with information gathered in staff interviews and meetings. We performed a physical inventory of all cryopreserved samples to allow uniform data entry when migrating to the database. We created manuals and protocols, and the staff was trained on entering data. Using a universal inventory system allows for quick report generation of physical inventory, which in turn preserves sample quality by reducing redundancy as well as time locating vials. Users can run queries to report a wide range of sample characteristics. Storage information can be easily analyzed for statistically significant trends, samples have reliable traceability, and data are auditable for accuracy.

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A NEW PROCESS-ORIENTED AND SPATIOTEMPORAL DATA MODEL FOR GIS DATA

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-1539-2018 ◽

2018 ◽

Vol XLII-3 ◽

pp. 1539-1541

Author(s):

Y. Shen

Keyword(s):

Data Model ◽

New Technologies ◽

Environmental Changes ◽

Rapid Development ◽

Spatiotemporal Data ◽

Detection Methods ◽

Spatiotemporal Model ◽

Digital Monitoring ◽

Process Oriented ◽

Spatiotemporal Data Model

With the rapid development of wireless sensor and information technology, there is a trend of transition from "digital monitoring" to "intelligence monitoring" advancing process. The traditional model cannot completely match the dynamic data to accurately describe changes of geographical and environmental changes. In this paper, we try to build a process-oriented and real-time spatiotemporal data model to meet the demands. With various types of monitoring devices, detection methods and the utilization of new technologies, the model can simulate the possible waterlog area in a specific year by analyzing the given data. By testing and modifying the spatiotemporal model, we can come to a rational conclusion that our model can forecast the actual situation in certain extent.

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