Grocery product arrangement using cluster analysis

College

Gokongwei College of Engineering

Department/Unit

Industrial Engineering

Document Type

Conference Proceeding

Source Title

Lecture Notes in Engineering and Computer Science

Volume

2239

First Page

459

Last Page

463

Publication Date

1-1-2019

Abstract

Literature on grocery layout improvements are limited. Grocery owners do not consider customer expectations in layout design. This study aims to determine products that must be grouped together in a grocery store based on customer's expected adjacency. The main method used is card sorting to identify customers' mental model on product arrangement. A representative grocery store was used to test the proposed method. There were 39 products used in the card sorting experiments based on the movable contents of the selected grocery store. Forty participants participated in an open card sorting to determine clustering of products. After groups had been determined, suitable names were identified for the groups. Pairwise Exchange Method (PEM) was then used within each group to determine how to arrange products within a certain area. Results of the study showed that customers expect products to be grouped according to use. Complementary and substitute products should also be placed close to each other. © 2019 Turkiye Klinikleri Journal of Medical Sciences. All rights reserved.

html

Disciplines

Industrial Engineering

Keywords

Display of merchandise; Supermarkets; Consumer behavior

Upload File

wf_no

This document is currently not available here.

Share

COinS