Product Pairing Selection for Promotion using Partitioning Method

Authors

  • Wan Nor Munirah Ariffin Centre of Excellence Social Innovation and Sustainability, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Raveena Subramaniam Faculty of Business and Communication, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Erni Puspanantasari Putri Department of Industrial Engineering, University of 17 Agustus 1945 Surabaya, Indonesia
  • Muhammad Shahar Jusoh Faculty of Business and Communication, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Muhamad Hafiz Masran Institute of Engineering Mathematics, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Muhammad Nur Khairul Hafizi Rohani High Voltage Transient & Insulation Research Group, Center of Excellence Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Yussof Hussin AEM Enersol Sdn. Bhd. Head Office, Asia, Level 9, West Block, Wisma Golden Eagle Realty (GER), 142C, Jalan Ampang, 50450 Kuala Lumpur, Malaysia
  • Noormaizatul Akmar Ishak Faculty of Business and Communication, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia
  • Emy Aizat Azimi Institut Koperasi Malaysia, 103, Jalan Templer, PJS 7, 46700 Petaling Jaya, Selangor, Malaysia
  • Siti Sharina Mohd Shukri Center of Innovation and Commercialization, Universiti Malaysia Perlis (UniMAP) Perlis, Malaysia

DOI:

https://doi.org/10.37934/araset.30.3.91103

Keywords:

Slow-moving products, graph network, partitioning technique

Abstract

Slow-moving product is harmful to the business. The slow-moving products take up space and tie up the company’s capital and leave the company with fewer funds to invest in its business. Several factors can cause this issue. There are several methods ranging from statistics to heuristic methods for a company to identify slow-moving inventory but all of them rely on data. In this paper, a partitioning technique from the graph network is proposed to partition the inventories or products into a few clusters. It can help the company to identify what group does the product belongs to and at the same time suggest to the company which product can be paired up or bundled up together to clear up aging and slow-moving products. The partition technique is proposed, and the algorithm is coded using the Visual C++ programming language. The simulation results show that the proposed method can partition the task graph onto smaller subgraphs. The subgraphs called cluster consists of the nodes or products with similar purchase volume (the strong connection between the two nodes). Implementing the partitioning technique could help the companies or managers select the appropriate product to be paired together when doing the promotion.

Author Biographies

Wan Nor Munirah Ariffin, Centre of Excellence Social Innovation and Sustainability, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

munirah@unimap.edu.my

Raveena Subramaniam, Faculty of Business and Communication, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

raveena@studentmail.unimap.edu.my

Erni Puspanantasari Putri, Department of Industrial Engineering, University of 17 Agustus 1945 Surabaya, Indonesia

erniputri@untag-sby.ac.id

Muhammad Shahar Jusoh, Faculty of Business and Communication, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

shahar@unimap.edu.my

Muhamad Hafiz Masran, Institute of Engineering Mathematics, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

hafizmasran@unimap.edu.my

Muhammad Nur Khairul Hafizi Rohani, High Voltage Transient & Insulation Research Group, Center of Excellence Renewable Energy (CERE), Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

khairulhafizi@unimap.edu.my

Yussof Hussin, AEM Enersol Sdn. Bhd. Head Office, Asia, Level 9, West Block, Wisma Golden Eagle Realty (GER), 142C, Jalan Ampang, 50450 Kuala Lumpur, Malaysia

yussof.hussin@aemenersol.com

Noormaizatul Akmar Ishak, Faculty of Business and Communication, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia

maizatul@unimap.edu.my

Emy Aizat Azimi, Institut Koperasi Malaysia, 103, Jalan Templer, PJS 7, 46700 Petaling Jaya, Selangor, Malaysia

emyaizat@gmail.com

Siti Sharina Mohd Shukri, Center of Innovation and Commercialization, Universiti Malaysia Perlis (UniMAP) Perlis, Malaysia

sharina@unimap.edu.my

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Published

2023-05-15

How to Cite

Wan Nor Munirah Ariffin, Raveena Subramaniam, Erni Puspanantasari Putri, Muhammad Shahar Jusoh, Muhamad Hafiz Masran, Muhammad Nur Khairul Hafizi Rohani, Yussof Hussin, Noormaizatul Akmar Ishak, Emy Aizat Azimi, & Siti Sharina Mohd Shukri. (2023). Product Pairing Selection for Promotion using Partitioning Method. Journal of Advanced Research in Applied Sciences and Engineering Technology, 30(3), 91–103. https://doi.org/10.37934/araset.30.3.91103

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