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All Journal ESENSI: JURNAL BISNIS DAN MANAJEMEN Jurnal Teknik ITS IPTEK Journal of Proceedings Series Jurnal Ilmiah Teknik Industri OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Jurnal Studi Manajemen dan Bisnis PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri ASRO JOURNAL - STTAL STTAL POSTGRADUATE - INTERNATIONAL CONFERENCE Indonesian Journal of Halal Research Jurnal Manajemen dan Usahawan Indonesia BISMA (Bisnis dan Manajemen) Journal of International Conference Proceedings Journal Research of Social Science, Economics, and Management Sewagati Riwayat: Educational Journal of History and Humanities International Journal of Business and Management Technology in Society (IJBMTS)
Iwan Vanany
Center Business Excellence - Fakultas Teknologi Industri, Jurusan Teknik Industri, Institut Teknologi Sepuluh Nopember, Surabaya
Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Optimizing Product Delivery through Two-Dimensional Time Warping Demand Allocation under Uncertainty Meilanitasari, Prita; Vanany, Iwan; Ma'ady, Mochamad Nizar Palefi; Isrofi, Nisa
International Journal of Business and Management Technology in Society Vol. 2 No. 2: December 2024
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j30254256.v2i2.1341

Abstract

Purpose – This study aims to optimize delivery operations by implementing a flexible clustering method to handle demand uncertainty and improve logistics efficiency. Methodology – This study develops a clustering algorithm using a two-dimensional time-warping approach to group demand points based on spatial proximity and demand characteristics. The methodology consists of three stages: 1) processing data on point distances, 2) clustering using two-dimensional time warping, and 3) validating through silhouette analysis. Findings – This study resulted in optimal and efficient demand clustering through location clustering with a Silhouette coefficient value of 0.7 or an accuracy and feasibility level of 70%. The algorithm also shows improved computational efficiency compared to traditional approaches, making it suitable for practical applications in uncertain and dynamic environments. Practical implications – This study holds significant importance for businesses in the logistics and retail sectors. Through demand clustering, businesses can effectively group customer demands and utilize this information to optimize inventory management and delivery solutions.
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.
Analisa Multi Faktor Terhadap Peningkatan Value Penjualan Batubara Indonesia Untuk Ekspor Husodo, Mohammad Bimo; Vanany, Iwan
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i5.15865

Abstract

Tingginya permCCCintaan batubara memberikan prospek pasar yang menarik bagi para eksportir batubara Indonesia. Penelitian ini bertujuan untuk menganalisis pengaruh faktor-faktor tertentu terhadap peningkatan nilai penjualan batubara untuk ekspor di Indonesia selama periode 2019-2022. Faktor-faktor yang dipertimbangkan dalam penelitian ini meliputi nilai tukar rupiah, produksi batubara, permintaan batubara dalam negeri, dan harga acuan batubara serta penggunaan renewable energy. Metode analisis regresi linier berganda digunakan untuk menguji hubungan antara variabel-variabel ini dengan peningkatan nilai penjualan batubara untuk ekspor. Faktor lain yang mempengaruhi adalah permsalahan geopolitik yang mencakup perang/invasi suatu negara, perang dagang, perang mata uang dan perubahan teknologi untuk energi terbarukan. Metode Analytic Heirarky Process (AHP) digunakan untuk menguji hubungan antara variabel-variabel terhadap nilai penjualan batubara untuk ekspor. Hasil penelitian ini dapat memberikan wawasan yang berharga bagi pemerintah Indonesia dan pemangku kepentingan terkait dalam mengelola sektor batubara, serta dapat digunakan sebagai dasar untuk perumusan kebijakan yang lebih efektif dalam memaksimalkan penerimaan negara dari sumber daya alam ini dan meningkatkan daya saing industri batubara Indonesia di pasar internasional.
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.
Internal Initiative vs External Pressure: Evidence from Halal Standard Adoption in Indonesian Food Small and Medium Industries (SMIs) Putri, Nilda Tri; Meuthia, Meuthia; Saputra, Ikhsan Rapi; Rahmahdian S, Rini; Vanany, Iwan; Zakuan, Norhayati
Indonesian Journal of Halal Research Vol. 7 No. 1 (2025): February
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/ijhar.v7i1.38173

Abstract

This research's focal points are identifying key factors of halal food standards (HFS) in small-medium industries (SMIs) in Padang and exploring the roles of traceability systems in compliance with the halal assurance system (HAS). The sample size included 105 food SMIs in Padang through a survey using questionnaires. The study employed Structural Equation Modeling-Partial Least Square (SEM-PLS) as a data analysis technique. Results demonstrated that external pressure from government regulations and organizational commitment as part of internal initiatives significantly affected HFS adoption, whereas the latter had a stronger effect. Meanwhile, consumer pressure, industrial competition, marketing function, operational improvement, and suppliers had no significant impact. Results also exhibited that HFS adoption and traceability systems had a significant implication for compliance with HAS. The limitation lies in variables related to halal food standard adoption factors. Accordingly, future researchers have to explore the analyzed phenomenon in various research contexts. In sum, the results afford valuable information that is favorable for industries, allowing them to provide better and safer halal food products for consumers. They also indicate that the halal traceability system enables food SMIs to elevate their business and offers a vast potency for further developing halal industries in Indonesia.
Development of Inventory Policy Using Demand Driven Material Requirements Planning (Ddmrp) and Probabilistic Inventory Model: A Case Study on the Water Tank Industry in Indonesia Maarif, Ghoffar Albab; Vanany, Iwan
Journal Research of Social Science, Economics, and Management Vol. 5 No. 7 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i7.1343

Abstract

PT. X, a water tank manufacturer in Indonesia, has long faced inventory management challenges due to the lack of a structured policy. The current MRP system relies heavily on subjective employee judgment, leading to a reactive and imbalanced inventory system with frequent stockouts or overstock. This study aims to develop a more structured inventory policy that is examined using Monte Carlo simulations in order to achieve more effective and efficient control. Materials are first classified into two groups, namely general components and special components and mixtures. These two groups receive different treatment according to their characteristics. The general components utilize a probabilistic inventory model (R, s, S) to create structured inventory parameters, which are then evaluated against the existing system. Special and mixed components improve the existing MRP system to DDMRP (Demand Driven Material Requirements Planning) with buffer levels across different materials. This adjustment is necessary because the behavior of the MRP system causes system instability, as it is highly dependent on the estimated demand for the final product. Overall, the selected inventory policy resulted in total cost savings of IDR 494,464,820 per week, equivalent to IDR 25,712,170,632 per year. This study proves that pull-based inventory system adjustments, namely DDMRP for special and mixed components and probabilistic inventory models (R, s, S) for general components, are effective in minimizing overstock, stabilizing demand variability, and significantly improving service levels.
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 Husodo, Mohammad Bimo I Nyoman Pujawan Iskandar Iskandar Jeremi, Nofariza Aulia Johan Krisnanto Runtuk Koerniawan, Heri Krisdiono, Eko Lilik Fatmawati, Lilik Maarif, Ghoffar Albab 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