REPRESENTING A MODEL USING DATA MINING APPROACH FOR MAXIMIZING PROFIT WITH CONSIDERING PRODUCT ASSORTMENT AND SPACE ALLOCATION DECISIONS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ANSARI MANOUCHEHR; HEIDARI ALI; SETAREH GOORAN ABAD ALI

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download Full-Text

Persian Verion

View:

704

Download:

Cites:

Information Journal Paper

Title

REPRESENTING A MODEL USING DATA MINING APPROACH FOR MAXIMIZING PROFIT WITH CONSIDERING PRODUCT ASSORTMENT AND SPACE ALLOCATION DECISIONS

Author(s)

ANSARI MANOUCHEHR | HEIDARI ALI | SETAREH GOORAN ABAD ALI | Issue Writer Certificate

Keywords

DATA MININGQ1

MAXIMIZING PROFITQ1

PRODUCT ASSORTMENTQ2

SHELF SPACE ALLOCATIONQ1

Abstract

The choice of which products to stock among numerous competing products and how much space to allocate to those products are central decisions for retailers. This study aimed to apply DATA MINING approach so that, we got needed information from large datasets of sale transactions to find the relations between products and to make PRODUCT ASSORTMENTs. Thus, we represented a model for PRODUCT ASSORTMENT and space allocation. Research population was transactional data of a store, the sample included transactional data of one-month period in the time series. Data were collected in October and November, 2015 from Shaghayegh store. 525 transactions with regard to 79 different products were analyzed. Based on the result 10 PRODUCT ASSORTMENTs formed although some products were allocated to more than 1 product category. By solving profit equation and finding volume increase indices we allocated spaces for each PRODUCT ASSORTMENT.

Cites

No record.

References

No record.

Cite

APA: Copy

ANSARI, MANOUCHEHR, HEIDARI, ALI, & SETAREH GOORAN ABAD, ALI. (2017). REPRESENTING A MODEL USING DATA MINING APPROACH FOR MAXIMIZING PROFIT WITH CONSIDERING PRODUCT ASSORTMENT AND SPACE ALLOCATION DECISIONS. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 8(4 ), 663-680. SID. https://sid.ir/paper/140341/en

Vancouver: Copy

ANSARI MANOUCHEHR, HEIDARI ALI, SETAREH GOORAN ABAD ALI. REPRESENTING A MODEL USING DATA MINING APPROACH FOR MAXIMIZING PROFIT WITH CONSIDERING PRODUCT ASSORTMENT AND SPACE ALLOCATION DECISIONS. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2017;8(4 ):663-680. Available from: https://sid.ir/paper/140341/en

IEEE: Copy

MANOUCHEHR ANSARI, ALI HEIDARI, and ALI SETAREH GOORAN ABAD, “REPRESENTING A MODEL USING DATA MINING APPROACH FOR MAXIMIZING PROFIT WITH CONSIDERING PRODUCT ASSORTMENT AND SPACE ALLOCATION DECISIONS,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 8, no. 4 , pp. 663–680, 2017, [Online]. Available: https://sid.ir/paper/140341/en

Related Journal Papers