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Journal : OPSI

Fuzzy AHP – DEMATEL Methods To Investigate Passengers’ Decision Factors On Using Public City Bus In An Indonesian Region V. Reza Bayu Kurniawan; Trisna Yulianti; Fransiska Hernina Puspitasari
OPSI Vol 14, No 1 (2021): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v14i1.4478

Abstract

An advanced public transportation system becomes an indicator for a country. Accordingly, it is essential that the decision-makers (DMs) conduct an initial study based on passengers’ view in order to improve the public transportation services. Since involving multi factors, the problem is often solved using the multi-criteria decision-making (MCDM) approaches. This study aims to examine significant factors on passengers decision making to use public transportation using Fuzzy AHP and DEMATEL. The Fuzzy AHP method is proposed to determine criteria weights so that significant critera are obtained, then the causal relations including the criteria are visualized using DEMATEL. This study demonstrates the integration of the two MCDM methods in a BRT system in the region of Yogyakarta, Indonesia, and invites passengers and the DMs. The result indicated that 21 criteria are identified, while the 11 significant criteria are selected based on the Fuzzy AHP weight – α-cut screening. Besides, the DEMATEL has succeeded in describing the influence relationship for the criteria, where firstly, the significant criteria are classified into cause and effect group and secondly, the two criteria, namely coverage to strategic points and on time arrival, should be put on the top priority list. This study enables the DMs to solve public transportation problems more effectively. However, the follow-up study should be carried out by including other factors such as economic and sustainability to strengthen the decision-making process.
Optimizing inventory policy to mitigate stockouts during the COVID-19 pandemic: a case study of a pharmacy in Riau, Indonesia Puspitasari, Fransiska Hernina; Chandra, Wilbert; Kartika Dewa, Parama; Bayu Kurniawan, V Reza
OPSI Vol 16, No 2 (2023): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v16i2.11236

Abstract

This paper studies on proposed inventory policy at a well-known pharmacy in Riau Province, Indonesia. Pharmacy X often experiences stockouts, especially during the critical period of the COVID-19 pandemic. These stockouts lead to lost sales. The Q and P inventory models are used to determine the optimal order quantity and order period using several simulation scenarios. Storage capacity and the ability of suppliers to supply drugs are constraints in this study. However, only 7 SKUs that often run out will be examined. The purpose of this paper is to minimize the shortage level of the SKUs using a parameter of shortage costs. After simulation, it was proven there was a decrease in the shortage costs in each SKU compared to the actual state. The reduction reached 23% - 74%. 
Optimizing inventory policy to mitigate stockouts during the COVID-19 pandemic: a case study of a pharmacy in Riau, Indonesia Puspitasari, Fransiska Hernina; Chandra, Wilbert; Kartika Dewa, Parama; Bayu Kurniawan, V Reza
OPSI Vol 16 No 2 (2023): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v16i2.11236

Abstract

This paper studies on proposed inventory policy at a well-known pharmacy in Riau Province, Indonesia. Pharmacy X often experiences stockouts, especially during the critical period of the COVID-19 pandemic. These stockouts lead to lost sales. The Q and P inventory models are used to determine the optimal order quantity and order period using several simulation scenarios. Storage capacity and the ability of suppliers to supply drugs are constraints in this study. However, only 7 SKUs that often run out will be examined. The purpose of this paper is to minimize the shortage level of the SKUs using a parameter of shortage costs. After simulation, it was proven there was a decrease in the shortage costs in each SKU compared to the actual state. The reduction reached 23% - 74%.