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Journal : PROZIMA (Productivity, Optimization and Manufacturing System Engineering)

Risk Linkage Model for Cooking Oil Supply Chain: Model Keterkaitan Risiko Pada Rantai Pasok Minyak Goreng Arismawati, Paramaditya; Vanany, Iwan
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 7 No. 2 (2023): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v7i2.1585

Abstract

Cooking oil is one of nine elements of Indonesian staple cuisine, also known as basic food. In the middle of 2022, the public will experience cooking oil scarcity, with prices that are significantly higher than before. The price increase of CPO (Crude Palm Oil) raw materials, disruption of distribution channels, low supplies of domestic palm oil raw materials, and some domestic cooking oil producers exporting without permission from the government and violating the law are some of the causes of the rise in cooking oil prices. As a result, the supply that should be available to Indonesians has been curtailed, and there is a lack of cooking oil. One of the palm oil generating sectors involves supply chain activities that include palm oil suppliers, producers converting it into crude oil, and then sending the crude oil to domestic customers who utilize the crude oil as raw material to make the products they want, namely oil. fry. Unwanted risk occurrences will occur as a result of the supply chain activities that are formed. The goal of this study is to identify risk events, analyze the linkage between risks in the cooking oil supply chain using the DEMATEL-ISM-MICMAC fuzzy technique, and develop risk reduction strategies. DEMATEL fuzzy integration approach for developing structural models including complicated cause-and-effect interactions. Then, using graphs, ISM maps and visualizes risk correlations. The MICMAC approach is used to categorize existing elements based on their dependence power and driver power. The findings of this study found eleven risk events, with shipping uncertainty (R8) being the most influential risk event. To combat shipping unpredictability, the recommended mitigation action strategy is to supply alternative shipping partners.
Analysis Inventory For Supporting Materials In Nickel Industry Using Material Requirement Planning Method Tola, Alimuddin; Vanany, Iwan
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 6 No. 1 (2022): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v6i1.1571

Abstract

Nickel is one of the resources that is often used by humans with its use increasing from each year. In order to increase nickel production, an integrated and optimum system is needed with carrying out the production and business processes in the one of Indonessian nickel company. To achieve the objectives, system integration between the demand for nickel products and the process of supplying raw materials urgently needed to support nickel processing. Therefore, this study aims to estimate the amount of raw materials and scheduling the availability of raw materials with applying the Material Requirement Planning. Furthermore, to find out the differences in the strategy of ordering raw materials in the system. Order fulfillment strategies (lot sizing) used are level, modified level, and dynamic lot sizing. The level strategy, as the initial strategy of the company, is a strategy that uses inventory as a support with labor made steady and demand is met from inventory. Modified level strategy are formulated to adjust level ordering in dynamic time. The dynamic lot sizing is a strategy of dynamic order quantity and dynamic time order. As for the analysis. The initial level strategy ,that simulate with several equations, shows some overstock and understock condition in the nickel production and material inventory. Its resulted in higher total cost and unfulfill nickel production. The formulation of modified level strategy and dynamic lot sizing can fulfill the material demand with lower total cost.
Supply Chain Optimization Model for Fresh Cow's Milk to Reduce Carbon Emissions and Food Waste: Model Optimasi Rantai Pasok Susu Sapi Segar untuk Mereduksi Emisi Karbon dan Food Waste Jeremi, Nofariza Aulia; Vanany, Iwan
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 7 No. 1 (2023): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v7i1.1617

Abstract

The food and beverage industry occupies an important position in Indonesia, with growth in 5 (five) years, an average of 8.16%. In 2022, the food and beverage industry contributed more than one-third or 37.77% of the GDP of the non-oil and gas processing industry. However, growth considered positive for the economy is actually a threat to the environment. With the high demand for food, food waste and carbon emissions from all food supply chain (FSC) activities increase. This study raises a case of a dairy product processing supply chain in the West Java region with multiple milk suppliers (KUD Susu), a single processing production plant, multi distributors, and multi-consumer retail with multi-echelon, multi-period, and multi-product friendly conditions. Environment by considering food waste and carbon emissions as a function of the objective model. In solving this problem, the Mixed Integer Linear Programming (MILP) model is used in modeling supply chain processes to optimize total cost/TC, total food waste/TFW, and total carbon emissions/TCE. The results of the completion of the research showed a total cost of IDR 18,036,770,000, a total food waste/TFW of 21,734 liters, and a total carbon emission/TCE of 109,526 l.CO2-eq.
Analysis of Inventory Management Using The Demand Driven Material Requirements Planning (DDMRP) Approach in The Fast-Food Industry Nur Wakhid Habibullah; Vanany, Iwan
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 9 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v9i2.1740

Abstract

Effective inventory management is a critical element in ensuring smooth operations and business success, particularly in the fast-food industry, which is characterized by highly dynamic demand. CV X, a fast-food company based in East Java, is currently facing challenges related to overstock and stockout conditions that hinder operational efficiency. Additionally, limited cold storage capacity further complicates efforts to maintain inventory balance amidst fluctuating demand. As the industry shifts from a push-based to a pull-based system—prioritizing flexibility and responsiveness in meeting customer demand—an adaptive inventory management approach becomes essential. This study analyzes the inventory management system at CV X using the Demand-Driven Material Requirements Planning (DDMRP) method to address overstock and stockout issues. DDMRP is chosen due to its ability to integrate dynamic buffer stock control and inventory adjustments based on real-time demand signals, enabling a more responsive supply chain while optimizing the use of limited cold storage capacity. This research employs secondary data from CV X for the year 2023, including production, sales, and inventory records, analyzed using descriptive and quantitative methods. The results indicate that the implementation of DDMRP successfully reduced the average inventory level by 6.62%, decreased overstock by 96.29%, and lowered stockout occurrences by 88.51%.
Inventory Control Analysis in Food Retail Using the Demand Driven Material Requirements Planning (DDMRP) Method: Analisis Pengendalian Persediaan pada Retail Pangan Menggunakan Metode Demand Driven Material Requirements Planning (DDMRP) Riyanto, Anisah; Vanany, Iwan
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 9 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v9i2.1757

Abstract

The food supply chain is an integrated system encompassing all stages, from production, processing, distribution, to public consumption. Efficiency in the food supply chain is a crucial aspect to ensure the availability, timeliness, and accessibility of staple food distribution systems such as rice. Rice requires an efficient and equitable distribution system to meet the needs of all levels of society, including Civil Servants (PNS). PT. Food Station Tjipinang Jaya, a regionally-owned enterprise (BUMD), has implemented a rice provision program for civil servants, distributed through a network of partner retail stores. This study aims to determine the optimal buffer stock amount and replenishment time for each distribution point. The case study was conducted in Surabaya City, taking into account the number of civil servants and the distribution of their residential locations. The results of this study are expected to provide strategic recommendations for planning efficient, targeted, and sustainable food logistics distribution to optimally support regional food security programs.
Co-Authors Adi Soeprijanto Ahmad Rusdiansyah AHMADI Ahmadi Ahmadi Alivia Rosy Walidonna Amanda Dewi Paramita Andri, Kuntoro Boga Anindita Etri Wulandari Annisa Eviondra Antasena Thabit Abisha Aristo Andryanto Arvitrida, Niniet Indah Arwan Chrysdeckie Suratmodjo Astawa, Nyoman Awaluddin Bin Mohamed Shaharoun Awaluddin Bin Mohamed Shaharoun Bassam Muhammad Drehem Berto Mulia Wibawa Budisantoso Wirjodirdjo Chatarina Dian Indrawati Desy Emilasari Desy Emilasari Dian Tanukhidah Dian Tanukhidah Dian Wahyu Adriyanti Dimas Prasetyo Dody Hartanto Duha Awaluddin Kurniatullah Edi Jadmiko Enggar, Yohannes Fakhri Anggara Firman Mega Pahlawan Firman Mega Pahlawan, Firman Mega Hary Nurdi Hendrik Vicarlo Saragih Hidayati, Muthia Putri Husodo, Mohammad Bimo I Nyoman Pujawan Iskandar Iskandar Jeremi, Nofariza Aulia Johan Krisnanto Runtuk Koerniawan, Heri Krisdiono, Eko Lilik Fatmawati, Lilik Meilanitasari, Prita Meuthia, Meuthia Moch. Khoirul Anwar Mochamad Nizar Palefi Ma’ady Mukhlis Mukhlis Niken Anggraini Savitri Nilda Tri Putri Niniek Fajar Puspita, Niniek Fajar Nisa Isrofi Nur Wakhid Habibullah Okol Sri Suharyo Paramaditya Arismawati Pardede, Sri Rahayu Putera, Rizki Revianto Putu Dana Karningsih Rafsanjani , Hasemy Rafsanjani, Hasemy Rahmahdian S, Rini Rien Sofia Devi Riyanto, Anisah Rizki Revianto Putera Ronny Mardiyanto, Ronny Saputra, Ikhsan Rapi Satria*, Bangkit Nata Savitri, Niken Anggraini Sholichah, Wildatus Sri Wahyuni Suparno Suparno Suparno Suparno Supartono - Suratmodjo, Arwan Chrysdeckie Tola, Alimuddin Trihanyndio Rendy S, Trihanyndio Rendy Widi Riskianto Winarsih, Wiwik Heny Zakuan, Norhayati zulfiyah Musfiroh