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Inventory Waste Management In Micro Scale-Food Industry Alam, Asnawi Mangku; Farmaciawaty, Desy Anisya
IPTEK Journal of Proceedings Series No 1 (2020): The 1st International Conference on Business and Engineering Management (IConBEM)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i1.7987

Abstract

Micro-businesses in the culinary industry often experience management constraints. Poor management leads to many losses and wastes, such as inventory waste that arises due to mismatch of production level with demand level. This research aims to learn how the micro-business conditions in the culinary industry in Bandung deal with the problem of inventory waste and find suitable methods to overcome the problem. To carry out the research, we conduct a mix method technique. Data were collected through interviews with respondents who involved in micro-scale culinary businesses in Bandung and also from sales reports of internal data from Yama, a micro-scale company engaged in the culinary business. We analyzed the data using a qualitative method and a single-period inventory model. From the research, we found that the micro-business condition in the culinary industry has currently run their waste inventory management based on intuition without a scientific approach. Also, to solve the wasted inventory problem, the single-period inventory model can reduce the amount of inventory waste and can be implemented. It can significantly increase Yama's opportunity to make a profit and decreasing the possibility of inventory waste due to unsold inventory
Inventory Level Improvement in Pharmacy Company Using Probabilistic EOQ Model and Two Echelon Inventory: A Case Study Farmaciawaty, Desy Anisya; Basri, Mursyid Hasan; Utama, Akbar Adhi; Widjaja, Fransisca Budyanto; Rachmania, Ilma Nurul
The Asian Journal of Technology Management (AJTM) Vol 13, No 3 (2020)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2020.13.3.4

Abstract

Abstract. This research is aimed to maintain the inventory level in a two-echelon pharmacy company. The company is a pharmacy company that has 16 branches that operate in Bandung and the surrounding area. The company has a problem with its high inventory cost. To solve the problem, the authors compare two methods that suit the company condition, i.e., the decentralized system using probabilistic EOQ model and the centralization system using the multi-echelon inventory technique. We analyzed sales data and on-hand inventory data acquired from the company information system to perform the study. We limit the scope to the class A items only. We also assume the lead time, setup cost, and holding cost used in this study with the company's owner's consent. To conclude, using the decentralized system, the company will save 31% of their inventory cost, while using the centralization system with the multi-echelon technique, the company will be able to save 61% of their inventory cost. We recommend the company to refer to its competitive strategy before deciding which model it would be implemented. Keywords:  Centralization, Decentralization, Probabilistic Economic Order Quantity (EOQ), Multi-Echelon Inventory, Pharmaceutical Inventory Management
Pricing Strategy and Pricing Determinant Factors in Sharing Logistics Farmaciawaty, Desy Anisya; Prasetyo, Ahmad Danu; Larasati, Niken; Inggis, Raka Achmad; Putri, Novialita Ayu C. Wibowo; Mulyono, Nur Budi
Jurnal Manajemen Teknologi Vol 20, No 2 (2021)
Publisher : SBM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/jmt.2021.20.2.1

Abstract

Abstract. There is a significant change in our current business practices where the change leads the mainstream business practice into a new concept: Sharing Economy. In this research, the sharing economy will be narrowed down to a specific topic called sharing logistics. This research aims: (1) to identify the determinants that are perceived as a priority by customers in logistics service, (2) to explore the pricing method suitable for sharing logistic companies based on priority determinants, which are previously identified. To arrive at the objectives of the research, many works of literature were reviewed related to the matter of determinants and pricing strategies in the logistics service industry and related to the concept of sharing economy. Primary data was also collected through an interview with the expert of the leading logistic service company in Indonesia. In addition, the analytical hierarchy process (AHP) was conducted as well to find the proportion that represents determinants’ priority based on the perspective of the customers of logistic service providers and academic researchers. Hopefully, by identifying the determinants that are perceived as a priority by customers in logistics service, and with its appropriate pricing method, companies that run their business in logistics sharing will have a proper pricing method guideline in the first place.Keywords: Sharing economy, sharing logistics, pricing method, determinants of logistics service, analytical hierarchy process  Abstrak. Saat ini terdapat perubahan signifikan terhadap praktik bisnis yang mengakibatkan munculnya konsep baru yaitu Sharing Ecpnomy. Dalam penelitian ini, sharing economy yang akan diteliti dipersempit ke topik tertentu, yaitu sharing logistics. Tujuan dari penelitian ini adalah: (1) untuk mengidentifikasi determinan yang dipersepsikan sebagai prioritas oleh pelanggan dalam layanan logistik, (2) untuk mengeksplorasi metode penetapan harga yang sesuai untuk perusahaan sharing logistics berdasarkan determinan prioritas, yang telah diidentifikasi sebelumnya. Untuk sampai pada tujuan penelitian, dilakukan tinjauan literatur terkait dengan masalah determinan dan strategi penetapan harga di industri jasa logistik serta tinjauan terhadap konsep sharing economy. Pengumpulan data primer dilakukan melalui wawancara dengan pakar dari perusahaan jasa logistik terkemuka di Indonesia. Selain itu, metode analytical hierarchy process (AHP) juga dilakukan untuk mengetahui proporsi yang mewakili prioritas determinan berdasarkan perspektif pelanggan penyedia jasa logistik dan peneliti akademis. Diharapkan dengan mengidentifikasi determinan yang dianggap sebagai prioritas oleh pelanggan dalam layanan logistik, dan dengan metode penetapan harga yang tepat, perusahaan yang menjalankan bisnisnya dalam logistics sharing akan memiliki pedoman metode penetapan harga yang tepat. Kata kunci: Sharing economy, sharing logistics, metode penetapan harga, determinan layanan logistik, analytical hierarchy process.
Improvement of Inventory Control Using Continuous Review Policy in A Local Hospital at Bandung City, Indonesia Hafnika, Fina; Farmaciawaty, Desy Anisya; Adhiutama, Akbar; Basri, Mursyid Hasan
The Asian Journal of Technology Management (AJTM) Vol 9, No 2 (2016)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2016.9.2.5

Abstract

Abstract. This research was aimed to analyze the excess inventories issue in pharmacy and medical equipment unit at a local hospital in Bandung which affected the service level of the hospital. As one of the busy hospital in Java, proven by the higher amount of the patient/year than in other average Java typical hospital, the hospital needs to concern about the pharmaceutical and medical equipment inventories in order to fulfill patients’ needs and in the same time keeping the inventory level under control. Therefore, an inventory control evaluation was conducted to determine the appropriate number of inventories and time of order to avoid the excessive goods in central warehouse of the hospital. By using probabilistic inventory model and continuous review policy, the pharmaceutical inventory in the hospital was calculated to compare the ideal and actual amount of the average inventory level (AIL). ABC (Always, Better, Control) classification also classified in this research to identify the proper item which potentially can be reduced from the inventory. From the analysis, we have discovered that the hospital potentially able to reduce almost Rp 830 million or 57% from the overstock inventory level by using continuous review policy as the basis of inventory control calculation system.Keywords:  Continuous review policy, inventory control, EOQ, ROP, AIL
Inventory Level Improvement in Pharmacy Company Using Probabilistic EOQ Model and Two Echelon Inventory: A Case Study Farmaciawaty, Desy Anisya; Basri, Mursyid Hasan; Utama, Akbar Adhi; Widjaja, Fransisca Budyanto; Rachmania, Ilma Nurul
The Asian Journal of Technology Management (AJTM) Vol. 13 No. 3 (2020)
Publisher : Unit Research and Knowledge, School of Business and Management, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2020.13.3.4

Abstract

Abstract. This research is aimed to maintain the inventory level in a two-echelon pharmacy company. The company is a pharmacy company that has 16 branches that operate in Bandung and the surrounding area. The company has a problem with its high inventory cost. To solve the problem, the authors compare two methods that suit the company condition, i.e., the decentralized system using probabilistic EOQ model and the centralization system using the multi-echelon inventory technique. We analyzed sales data and on-hand inventory data acquired from the company information system to perform the study. We limit the scope to the class A items only. We also assume the lead time, setup cost, and holding cost used in this study with the company's owner's consent. To conclude, using the decentralized system, the company will save 31% of their inventory cost, while using the centralization system with the multi-echelon technique, the company will be able to save 61% of their inventory cost. We recommend the company to refer to its competitive strategy before deciding which model it would be implemented. Keywords:  Centralization, Decentralization, Probabilistic Economic Order Quantity (EOQ), Multi-Echelon Inventory, Pharmaceutical Inventory Management
OPTIMIZING INVENTORY MANAGEMENT USING THE EOQ MODEL: CASE STUDY IN ONE OF THE BANKS IN INDONESIA Tamaputra, Reza Satria; Farmaciawaty, Desy Anisya
Journal of Research in Social Science and Humanities Vol 5, No 1 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i1.230

Abstract

Efficient inventory management is essential for maintaining operational excellence, particularly in the banking sector, where stock imbalances can disrupt workflows and impact service quality. This study examines inventory practices in of the Indonesia banking sector focusing on challenges like overstock and understock. Using the Economic Order Quantity (EOQ) model, the research determines optimal order quantities, safety stock, and reorder points for selected items. Analysis reveals that 27% of items were overstocked, incurring high holding costs, while understock situations disrupted operations. Root Cause Analysis (RCA) identified issues such as inefficient procurement processes and limited warehouse capacity. Recommendations include automation of inventory systems, improved procurement strategies, and optimized stock levels to enhance operational efficiency. These solutions contribute to reducing costs, improving service quality, and ensuring seamless operations.
Strategic Safety Stock Level For High Import Dependence Manufacturing Supply Chain For Enhanced Force Majeure Preparedness Dong Eon Kim; Desy Anisya Farmaciawaty; Adirizal Nizar
Eduvest - Journal of Universal Studies Vol. 5 No. 7 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i7.51630

Abstract

This study aims to determine the appropriate safety stock levels to enhance PT. Sukses Pharmapack’s preparedness for force majeure events and ensure operational continuity. By analyzing demand patterns over a five-year period, the research evaluates the effectiveness of safety stock in mitigating supply chain disruptions through scenario-based simulations. A mixed-method approach is applied, combining qualitative insights from key stakeholders with quantitative analysis of demand and lead time data. Statistical techniques such as mean, standard deviation, Z-score, and coefficient of variation are used to assess demand and lead time variability, while the Economic Order Quantity (EOQ) model with probability is employed to calculate optimal order quantities and safety stock levels. The findings indicate that a 30% increase in both demand and lead time results in the highest safety stock levels, improving service levels but raising inventory holding costs. Conversely, lower demand and shorter lead times reduce safety stock requirements but increase the risk of stockouts. The study is limited to a single product and supplier, which may restrict generalizability. Future research should explore multiple products and dynamic market conditions, implementing adaptive inventory policies with real-time demand monitoring.
Strategy Alternatives to Increase Capacity: Study Case in PT Turmerica, an Herbal Extract Manufacturer Haikal Sofyan Arif; Desy Anisya Farmaciawaty
Eduvest - Journal of Universal Studies Vol. 5 No. 11 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i11.52323

Abstract

The increased global demand for herbal extracts has made PT Turmerica need to re-evaluate its current output capacity. This study aimed to evaluate the most feasible and profitable business solution to solve the production capacity gap and meet the market demand through a combination of technical and financial analyses. Using the TELOS framework and Decision Tree Analysis, three strategic alternatives have been evaluated for consideration: A1 is to invest in a new concentrator machine; A2 is outsourcing; and A3 is extending working hours. From production data from 2023–2025 and expected market growth rates, it can be seen that the current production capacity of 161,915 kg/year is insufficient to meet future demand; the gap to be bridged is estimated to exceed 17% by 2027. The analysis found that the extractor machine was the main bottleneck in the extraction line, lowering throughput and increasing cleaning and maintenance time. A1 (investment in a new concentrator machine) is the most beneficial alternative, improving capacity by 35.1% as it speeds up extraction concentration, makes extract thickening unnecessary for the extractor, and prevents blockages. In contrast, both A2 (outsourcing) and A3 (additional working hours) have only increased capacity by 8.6% and 24.6%, respectively, with much higher operational risks and weaker long-term sustainability. Based on TELOS results, A1 offers the most feasible and profitable option according to decision tree analysis, which produces higher cash flow.
Balanced Scorecard Development Using Nine Steps to Success™ at RSUD Jampangkulon Rohmat Firmansyah; Desy Anisya Farmaciawaty
Eduvest - Journal of Universal Studies Vol. 6 No. 6 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i6.52921

Abstract

This study seeks to develop a more workable and structured strategic performance framework for RSUD Jampangkulon by applying the Balanced Scorecard and using the Nine Steps to Success as an implementation path. This study seeks to develop a more workable and structured strategic performance framework for RSUD Jampangkulon by applying the Balanced Scorecard and using the Nine Steps to Success as an implementation path. The research follows an analytical case study approach. An initial screening phase is used to identify a small set of performance framework options through a structured literature-based shortlist, then Value Focused Thinking is applied to decide which option fits the hospital needs most closely. The main phase develops the scorecard in a full sequence, starting from a program launch to set working boundaries, followed by situation assessment, strategy formulation, objective setting, strategy mapping, selection of a lean set of core KPIs from an existing indicator bank, design of linked strategic initiatives, preparation of monitoring and performance analysis routines, tier based alignment through cascading with role clarity, and the definition of an evaluation and refresh cycle. The findings suggest that dispersed mandated indicators can be reshaped into a manageable core scorecard that supports routine control, supported by a strategy map treated as a working hypothesis, more stable KPI definitions, an initiative portfolio tied to measures, and a review rhythm that encourages follow up actions.