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Journal : OPERATION EXCELLENCE: Journal of Applied Industrial Engineering

Model Sensitivitas Kenaikan Tarif Dasar Listrik Terhadap Keberlangsungan Usaha UMKM Di Kota Bandung Vita Sarasi; Ina Primiana; Umi Kaltum; Merita Bernik
Operations Excellence: Journal of Applied Industrial Engineering Vol 13, No 3, (2021): OE November 2021
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2021.v13.i3.034

Abstract

Micro Small and Medium Enterprises (MSMEs) are often faced with a number of problems that are very influential on their growth and can reduce their competitiveness, where one of them is the increase in Basic Electricity Tariff. The increase in Basic Electricity Tariff will occur every three months and the average annual increase is 15%, which will result a direct impact on surging production costs. The increase in Basic Electricity Tariff will result in declining growth of MSMEs, making it difficult to compete because MSMEs have to make adjustments to prices and ultimately result in weakening purchasing power. The Sensitivity Analysis of Basic Electricity Tariff increase on the sustainability of MSME businesses aims to (1) Know the structure of production costs in relation to electricity usage and (2) Create a sensitivity model for TDL increase on the sustainability of MSME businesses using Data Envelopment Analysis (DEA). This research is analytical descriptive and useful as an effort to focus on actions in anticipating the sensitive increase in Basic Electricity Tariff on the sustainability of MSME businesses. These actions include reducing the ratio of electricity costs to production costs and increasing capital to increase business turnover. This research is focused on MSMEs which are very sensitive to the increase in the Basic Electricity Tariff. 
Analysis of Lean Process Factors to Improve Production Process Effectiveness (Case Study in BFM Pharmaceutical Industry) Oom Oman Abdurrahman; Vita Sarasi; Iman Chaerudin; Ina Primiana; Akhmad Yunani
Operations Excellence: Journal of Applied Industrial Engineering Vol 14, No 1, (2022): OE Maret 2022
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2022.v14.i1.045

Abstract

BFM is a pharmaceutical company that produces bulk Tetanus Toxoid (TT). Bulk TT demand will continue to increase until 2025, while the current utilization rate has reached 97% of its design capacity. Bulk TT's current production capacity is insufficient, while the building area cannot be enlarged. This research was conducted to improve non-necessary value added by identifying and reducing waste to run well even though the production capacity is limited. Mix descriptive qualitative and quantitative methods are applied in this research. Production simulation is undertaken to reduce waste through the Gemba Kaizen approach and Kanban, while production capacity simulation is carried out using Dynamic Systems. The results of the simulations are described in the Balanced Scorecard. The research revealed there are 148 wastes consisting of 4 causes of waste in the high priority category, 20 medium priority and 124 low priority. The simulation generates a significant decrease value of the waste priority number (WPN) from 347.3 to 47.2. There was also an increase in the overall value stream. Value-added ratio (VAR) increased 12.57%, production lead time reduced 21.01%, and total cycle time decreased 11.65%. These findings indicated that the improvement was effective in eliminating waste. From the overall improvement, there was an increase in productivity of 25.0%.
Application of Value Stream Mapping to Improve Service in The Departure Terminal at Halim Perdanakusumah Airport Vita Sarasi; Ina Primiana; Desita Astira Kusnadiuthor
Operations Excellence: Journal of Applied Industrial Engineering Vol 14, No 1, (2022): OE Maret 2022
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2022.v14.i1.040

Abstract

This study aims to identify and reduce waste in the passenger flow process at the Halim Perdanakusuma Airport departure terminal, so that passenger service remains good even with limited terminal capacity. This research used a qualitative method with a case study approach. The method stages are the observation of the departure passenger flow process mapped through current state Value Stream Mapping (VSM), distribution of questionnaires to obtain critical waste with Borda analysis, and fishbone diagrams to find out the rooting causes of critical waste, the proposing process improvements, and the future state of VSM, The results showed that critical waste in the flow of departure passengers is 22.11%, which includes passenger activities waiting for the Security Check Point 1 and Point 2 queue. Furthermore, based on the current state of VSM, the lead time for departure passengers is 33 minutes 47 seconds and VAR is 20.22%. While form the future state of VSM, the lead time is 28 minutes 22 seconds with a VAR of 20.36%, resulting in time efficiency of 5 minutes 24 seconds.
Aplikasi Supply Chain Operation Reference (SCOR) pada Produk Chocodot PT Tama Cokelat Garut Indonesia Nur Hasanah; Vita Sarasi; Ina Primiana
Operations Excellence: Journal of Applied Industrial Engineering Vol. 14, No. 2, (2022): OE JULY 2022
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2022.v14.i2.052

Abstract

This study applies the SCOR (Supply Chain Operations Reference) method at one of the companies engaged in the Food and Beverage (F&B) sector, namely PT. Chocolate Tama. The goal is to determine the level of importance of the company's five main activities, namely Plan, Source, Make, Deliver and Return so as to measure and improve the company's total supply chain performance. The research begins with determining KPIs and Supply Chain Management Metrics and weighting supply chain management metrics Level I, II and III using AHP. The results of the validation process there are 44 metrics that represent the performance of supply chain activities, namely 11 plan metrics, 10 source metrics, 7 make metrics, 10 deliver metrics and 6 return metrics. The plan activity has the highest weight value of 0.3188, after that successively source is 0.2254, deliver is 0.1560, make is 0.1511 and return is 0.1487. There are 21 sequences of supply chain performance metrics that must be improved so that there are no more delays in the supply of raw materials as well as recommendations for improvement for increasing the company's revenue in the future. The first three sequences that have the highest values that need to be improved are plan source (planning the source of raw materials), forecast accuracy (forecasting accuracy) and purchase order cycle time (determination of purchase order cycle time).