Discuss how data can help streamline reverse logistics.

W4: Data uses in Reverse Logistics
Discuss how data can help streamline reverse logistics. Please provide an example of a specific app, technology or tool descriiption with this post. Include information on how data is collected and used to improve the reverse logistics process.
Instructions: Please respond to at least 2 other students. Responses should include direct questions.

Throughout the reverse logistics process, data is collected on the reasons for returns, the condition of the returned items, repair costs, and other relevant information. Data is analyzed to identify trends, improve product quality, and streamline the returns process. A study was conducted on municipal solid waste flows in reverse logistics using the data envelopment analysis (DEA), which provides logistics managers with an understanding of the cost interactions and efficiencies of the decision-making units in reverse logistics. This tool was applied to the reverse logistics municipal solid waste system to determine if the method could be used to assist managers in running their distribution systems. DEA is an effective tool that needs more reliable and accurate methods for monitoring reverse logistics channels. Data was collected with a combination of inputs and outputs that defined the efficiency in the evaluation field. The outputs included a financial return to the municipality: revenue from selling recyclables and recycling. Also, the size of the solid waste stream that collects, transports, and disposes of. The inputs included the annual cost of collecting and disposing of the solid waste, the recycling program administrative cost, the annual recycling program education and promotion costs, the annualized capital equipment costs, the annual cost of materials and supplies, and the size of the solid waste stream. The study was also conducted on the non-homogenous decision-making units. For example, municipalities vary in area and population, street and road mileage, and population and household density. This could affect the efficiency of the collection operations.

Data was collected on the inputs and outputs, which were on numerous channels. Data was collected from the participating municipalities. The input and outputs should have been segregated because not all municipalities sell their recyclables. The study increased the number of inputs and outputs, and the tool DEA became less discriminating. The results also show that DEA can effectively evaluate the efficiency of reverse logistics channel operations. This tool identifies the efficiency of the remaining operations conditions. In addition to identifying efficiency, managers have sufficient flexibility to develop their reverse logistics channels using their own best judgment.

HAAS, D. A., MURPHY, F. H., & LANCIONI, R. A. (2003). Managing Reverse Logistics Channels with Data Envelopment Analysis. Transportation Journal, 42(3), 59–69.

Reverse logistics 101: The Complete Guide to Circular Supply Chain Reverse Logistics 101: The Complete Guide to Circular Supply Chain | Logos Logistics (logos3pl.com)

student two
Week 4
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Micah Crumbley posted Feb 26, 2024 10:02 PM
Class,

E-commerce and return policies have become a daily process within many firms. United States firms have spent over $35 million annually on handling, transportation, and processing returned items (Zaarour, Melachrinoudis, Solomon, & Min, 2014). For example, the service management of critical systems like high-tech systems, medical equipment, and office equipment is spread globally. The system to manage critical systems is a system that continuously monitors equipment performance and analyzed deviations which provide a system of signals that provide potential failure points that will help schedule preventive maintenance before and item fails. In this process the internet of things is used to enhance operational efficiency but also to improve the reuse of components for sustainability, considering that increased operational efficiency would result in substantial cost savings for supporting the system integration of downstream supply chain partners. Also to help with the value of big data the internet of things (IoT) needs to be connected to business intelligence (BI). BI systems are data-driven, enterprise-wide decision-support systems that integrate data gathering and storage with advanced analytical functions for decision making. The BI is used to visualize operations status, improve managerial decisions, recommend operational decisions, and facilitate collaboration with supply chain partners through IoT and incorporate the processes and systems that visualize operation performance systematically. For example, online analytical processing (OLAP) tools are used to report, analyze, model, and plan for business optimization. The data that is collected through barcodes and radio frequency identification systems are used to connect a physical object to a virtual representation that is relayed to the internet of things and mobile technologies. The IoT of things is a great way to track reverse logistics operations by having the system achieve fast and smooth item flows in both forward and reverse directions for service parts replacement and return. Then the system needs to identify reusable items for reverse logistics and then enable information sharing among decision makers in real time. Also, a mobile IoT is a way to streamline the entire reverse logistics process, such that counterfeit components are avoided to minimize reverse logistics costs and safeguard improper replacement outside the agreed service scope.

Micah

References

Mo, D. Y., Ma, C. Y., Ho, D. C., & Wang, Y. (2022). Design of a reverse logistics system with Internet of things for service parts management. Sustainability, 14(19), 12013. doi:10.3390/su141912013

Zaarour, N., Melachrinoudis, E., Solomon, M., & Min, H. (2014). A reverse logistics network model for handling returned products. International Journal of Engineering Business Management, 6, 13. doi:10.5772/58827






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