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Developing and Training a Mathematical Model for Optimizing a Given Interior Space of a Supermarket

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dc.contributor.author Alahakon, Shalitha
dc.contributor.author Siriwardana, Tharindu
dc.contributor.author Udupihilla, Deshan
dc.contributor.author Wickramasinghe, Tharukshi
dc.contributor.author Rajapaksha, Samantha
dc.date.accessioned 2024-01-16T04:39:26Z
dc.date.available 2024-01-16T04:39:26Z
dc.date.issued 2023
dc.identifier.citation Alahakon Shalitha; Siriwardana Tharindu; Udupihilla Deshan; Wickramasinghe Tharukshi; Rajapaksha Samantha (2023), Developing and Training a Mathematical Model for Optimizing a Given Interior Space of a Supermarket, International Research Conference on Smart Computing and Systems Engineering (SCSE 2023), Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka. Page 11 en_US
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/27349
dc.description.abstract Retailers are crucial in supply chains, acting as the bridge between consumers and resources. However, there is limited analytic-based literature on block design in grocery stores. This paper employs an algorithmic approach with optimization techniques to efficiently design the interior space of a provided supermarket. The objective is to create an analytical method for handling design issues without relying on human-centered approaches. Using data from supermarket store arrangements, the paper showcases efficient space utilization by aligning item measurements with customer needs. Decision variables offer decision makers a precise collection of non-dominated designs. Previous studies demonstrate the effectiveness of this approach in analytically designing a data-driven structure for supermarket block layouts. The model identifies layouts that maximize space utilization while meeting industry standards. Although primarily focused on Asian retailers, the approach is generally applicable due to the similarity of grocery store layouts worldwide. The method and results are easily translatable for other retailers. en_US
dc.publisher Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka en_US
dc.subject space optimization, supermarket layouts design, python pulp library en_US
dc.title Developing and Training a Mathematical Model for Optimizing a Given Interior Space of a Supermarket en_US


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