Ongkopratama, Pannya Dewangga Putra and Saraswati, Triarti and Kurniawan, Ivan and Galinium, Maulahikmah (2022) DEVELOPING TOOLS TO INTEGRATE PRODUCTION PLANNING AND INVENTORY CONTROL DATA FOR PACKAGING MANUFACTURER. Bachelor thesis, Swiss German University.
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Abstract
This company of this research still utilized Microsoft Excel as the main software to process the PPIC data and Google Drive to distribute the data through the organization. There are several problems occurs in the company, many versions of file circulating around the company, double process inputs occur, time waste and inconsistent calculations occur because of too many manual inputs data and formulas, users having difficulties to find the required sheet. The objective is to eliminate many versions of data circulating around the company, eliminate double process input, reduce manual input processes, and ease the way to find the required sheet. This research will discuss the implementation of a web-based application and integrating the production planning and inventory control data. The methodology that is conducted in this thesis to improve data integration is Waterfall Methodology. The requirement phase will elaborate the problem and the expectation from the company. The design phase will be the planning for the implementation. The implementation shows the interface and the formulas inside the file. Black Box testing is conducted in this thesis to test the manual inputs connectivity to the data and the automation inspection. List of new formulas implemented to help the user to maintenance the PPIC file. The current condition and the proposed conditions are compared to see the benefits of implementing the data integration in the result sub-chapter.
Item Type: | Thesis (Bachelor) |
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Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD9720 Manufacturing industries |
Divisions: | Faculty of Engineering and Information Technology > Department of Industrial Engineering |
Depositing User: | Mr Arinton Sinaga |
Date Deposited: | 10 Dec 2024 09:50 |
Last Modified: | 10 Dec 2024 09:50 |
URI: | http://repository.sgu.ac.id/id/eprint/2689 |
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