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Safety Stock, Warehouse Capacity, and Return of Goods in Inventory Model Development Roland Y. H. Silitonga; Valyn Alanda Saputra; Aamir Khan
Journal of Novel Engineering Science and Technology Vol. 1 No. 02 (2022): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.482 KB) | DOI: 10.56741/jnest.v1i02.120

Abstract

With the increasing level of competition between companies, companies are required to be able to manage their inventory system optimally. In the pharmacy supply system, it is important to consider the uncertainty factor because the demand for medicines depends on the uncertain nature of the disease, besides that there is an expiration factor that must be considered because medicines must have an expiration date. To solve the problem of expiration, the supplier usually provides a return policy in accordance with the specified conditions. In addition, pharmacies also have limitations on warehouse capacity that must be considered. To solve the problem of limited warehouse capacity in this study, an approach to the requirements of the Karush Kuhn-Tucker method was used. From the developed model, two ordering times are obtained, namely and which will be compared to get the optimal ordering time. From the analysis of the model, it is found that the more characteristic considerations in an inventory system, the greater the total inventory cost.
Offline Shopping Behavior during the COVID-19 Pandemic Sukardi; Aamir Khan
Journal of Management Studies and Development Vol. 2 No. 01 (2023): Journal of Management Studies and Development
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jmsd.v2i01.163

Abstract

During the COVID-19 pandemic, by maintaining health protocols, young people and community members continue to shop to meet daily needs, especially food needs, both online and offline shopping. This study aims to explain the effect of wearing masks, maintaining distance and washing hands-on offline shopping behaviour. The population of this study was young people in Indonesia. There were 155 respondents from various regions. The sampling technique used is a random sampling area. The sample is based on regionality by not comparing the proportionality of the site. The results showed that using masks had a significant positive effect on offline shopping behaviour. Social distance has a significant negative impact on offline shopping behaviour. Handwashing does not affect offline shopping behaviour.