Decision Support Information System for Urban Lighting

Giat, Yahel; Dreyfuss, Michael

doi:10.28945/3995

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…As such, it also serves as a decision support system (DSS). There are various ways to model such systems (e.g., Aggarwal, 2001) and they are used in a wide array of applications (e.g., Cornforth et al, 2014;Dreyfuss & Giat, 2018b;Mbugua & Suksa-ngiam, 2018).…”

Section: Information and Decision Support Systemsmentioning

confidence: 99%

A Decision Support System and Warehouse Operations Design for Pricing Products and Minimizing Product Returns in a Food Plant

Giat

Bouhnik

2021

IJIKM

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Aim/Purpose: The first goal is to develop a decision support system for pricing and production amounts for a firm facing high levels of product returns. The second goal is to improve the management of the product returns process. Background: This study was conducted at a food importer and manufacturer in Israel facing a very high rate of product returns, much of which is eventually discarded. The firm’s products are commonly considered to be a low-cost generic alternative and are therefore popular among low-income families. Methodology: A decision support module was added to the plant’s business information system. The module is based on a supply chain pricing model and uses the sales data to infer future demand’s distribution. Ergonomic models were used to improve the design of the returns warehouse and the handling of the returns. Contribution: The decision support system allows to improve the plant’s pricing and quantity planning. Consequently, it reduced the size of product returns. The new design of the returns process is expected to improve worker’s productivity, reduces losses and results in safer outcomes. This study also demonstrates a successful integration and of a theoretical economical model into an information system. Findings: The results show the promise of incorporating pricing supply chain models into informing systems to achieve a practical business task. We were able to construct actual demand distributions from the data and offer actual pricing recommendations that reduce the number of returns while increasing potential profits. We were able to identify key deficiencies in the returns operations and added a module to the decisions support system that improves the returns management and links it with the sales and pricing modules. Finally, we produced a better warehouse design that supports efficient and ergonomic product returns handling. Recommendations for Practitioners: This work can be replicated for different suppliers, manufacturers and retailers that suffer from product returns. They will benefit from the reduction in returns, as well as the decrease in the losses associated with these returns. Recommendation for Researchers: It is worthwhile to research whether decision support systems can be applied to other aspects of the organizations’ operations. Impact on Society: Product returns is a lose-lose situation for producers, retailers and customers. Moreover, mismanagement of these returns is harmful for the environment and may result in the case of foods, in health hazards. Reducing returns and improving the handling improves sustainability and is beneficial for society. Future Research: The decision support system’s underlying pricing model assumes a specific business setting. This can be extended using other pricing models and applying them in a similar fashion to the current application.

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Section: Information and Decision Support Systemsmentioning

confidence: 99%

A Decision Support System and Warehouse Operations Design for Pricing Products and Minimizing Product Returns in a Food Plant

Giat

Bouhnik

2021

IJIKM

Self Cite

View full text Add to dashboard Cite

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Adjusted JPEG Quantization Tables in Support of GPS Maps

Wiseman

2021

JMM

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Image quality manipulating in JPEG is done by quantization tables. JPEG has two quantization tables – one table for the luminance information and one table for the chrominance information. These quantization tables have been designed in support of images with few sharp changes; however, typically most GPS image maps have many sharp changes and as a result, the images are not optimally compressed. The designers of the quantization tables have presumed that sharp changes in the colors will rarely occur. Therefore, they divide the values that represent sharp changes in the frequency space by large numbers and divide other values by smaller numbers. As a result, when there are sharp changes in an image, the proportional allocation for each kind of data in the compressed image is inappropriate and results in an inefficient compression. In this paper the standard quantization tables have been modified as to handle the different kinds of GPS image map data appropriately. Consequently, the experimental results show that images with sharp changes are compressed more efficiently when making use of the new quantization tables.

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Decision Support Information System for Urban Lighting

Cited by 2 publications

References 16 publications

A Decision Support System and Warehouse Operations Design for Pricing Products and Minimizing Product Returns in a Food Plant

A Decision Support System and Warehouse Operations Design for Pricing Products and Minimizing Product Returns in a Food Plant

Adjusted JPEG Quantization Tables in Support of GPS Maps

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