Enhanced of Analysed Optimization Learning Model for Multi Product Retail and Distribution System

Solly Aryza, Syahril Efendi, Poltak Sihombing, Sawaluddin

2023

Abstract

The progress of the business environment is highly dependent on several things such as cost issues, service, and product quality improvement which greatly impact customer satisfaction where the supply chain is faced with high dynamics and uncertainty in the business environment, which is more obvious when end customer demands and orders are considered. The supply chain network must be able to deal with uncertain demand from all its elements including manufacturers, suppliers, and distribution centers. Therefore, this study aims to optimize the multi-product distribution system and multi-level delivery of product flow under uncertain conditions. A multi-objective mathematical model is developed that minimizes supply chain costs while maximizing customer satisfaction and different scenarios. In addition, the significant diversity of different channels in terms of product information, price, consumer experience, and service level it possible to introduce of the Internet to the business world has offered new communication channels to facilitate shopping, making product sales by manufacturers, and product purchases by customers faster and more precise. In addition, purchases through computers, mobile phones, and various applications as well as traditional purchasing methods such as buying from a store or selecting desired items from a catalog have covered all social strata, tastes, and habits. This method of using all available means, called omnichannel, allows organizations to take greater control over pricing and product selection and to receive precise feedback from the market and customers assisting them in the best production and pricing decisions.

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Paper Citation


in Harvard Style

Aryza S., Efendi S., Sihombing P. and Sawaluddin. (2023). Enhanced of Analysed Optimization Learning Model for Multi Product Retail and Distribution System. In Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD; ISBN 978-989-758-678-1, SciTePress, pages 307-313. DOI: 10.5220/0012457600003848


in Bibtex Style

@conference{icaisd23,
author={Solly Aryza and Syahril Efendi and Poltak Sihombing and Sawaluddin},
title={Enhanced of Analysed Optimization Learning Model for Multi Product Retail and Distribution System},
booktitle={Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD},
year={2023},
pages={307-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012457600003848},
isbn={978-989-758-678-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Information Scientific Development - Volume 1: ICAISD
TI - Enhanced of Analysed Optimization Learning Model for Multi Product Retail and Distribution System
SN - 978-989-758-678-1
AU - Aryza S.
AU - Efendi S.
AU - Sihombing P.
AU - Sawaluddin.
PY - 2023
SP - 307
EP - 313
DO - 10.5220/0012457600003848
PB - SciTePress