cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Wiwik Sulistiyowati
Contact Email
prozima@umsida.ac.id
Phone
+6231-8945444
Journal Mail Official
prozima@umsida.ac.id
Editorial Address
Jl. Majapahit 666 B, Kampus I, Universitas Muhammadiyah Sidoarjo, Jawa Timur, Indonesia 6127
Location
Kab. sidoarjo,
Jawa timur
INDONESIA
PROZIMA (Productivity, Optimization and Manufacturing System Engineering)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : 25415115     EISSN : 25415115     DOI : https://doi.org/10.21070/prozima
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Aim: to facilitate scholar, researchers, and teachers for publishing the original articles or review articles. Scope: Industrial Engineering included: Supply Chain Management Optimization and industry system Ergonomics Strategic Management Quality Engineering and Management Sustainability Experiment design Statistic Project Management Productivity Technology Management
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 106 Documents
 7   8   9   10   11 
Enhancing Food Supply Chain Efficiency: A Consolidation Shipping Approach For Multi-Product and Multiechelon: Meningkatkan Efisiensi Rantai Pasokan Pangan: Pendekatan Konsolidasi Pengiriman Untuk Multi-Produk dan Multiechelon Handayani, Dwi Iryaning; Kurnia Iswardani; Haryono, Haryono; Prihatinigsih, Tri Prihatiningsih
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.v7i2.1673

Abstract

This research applies the application of delivery consolidation in the context of a multi-product and multi-echelon food supply chain, as a strategy to address operational efficiency and cost management. The aim is to implement consolidation in multi-product and multi-echelon distribution systems, in order to optimize product placement and distribution efficiently. The method adopted is the Linear Programming model, which considers key variables such as the number of goods to be sent, delivery route, resource allocation, fleet capacity and delivery time limit. The research results show that shipment consolidation, by scheduling shipments that are delayed until the second or third day, allows combining orders into one large shipment, thereby increasing load and route efficiency, reducing trip frequency, and achieving significant transportation cost savings. This strategy successfully increased load and route efficiency, reduced the number of trips required, and resulted in substantial transportation cost savings. Using this method, the total shipping and storage costs are 1,328,834. This consolidation strategy has proven crucial in optimizing delivery types, in addition to facilitating more effective route planning, reducing travel distances and times, and resulting in significant operational cost savings.
Optimizing Distribution Center Network Design for a Cosmetic Manufacturer: A Case Study on Lightening Series Package Product Kusumawardani, Rindi; Rehaldy, Aufa Rais; Savitri, Niken Anggraini
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 8 No. 1 (2024): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v8i1.1681

Abstract

Ensuring customer satisfaction while maintaining optimal cost efficiency is paramount in designing a successful supply chain structure. This study explores the vital role of service quality and delivery efficiency in achieving customer satisfaction and a superior overall experience through a cost-effective supply chain structure. Furthermore, the strategic positioning of Distribution Centers (DC) and the geographical distribution of consumers serve as additional determinants in the quest to devise the most effective DC scheme that meets consumer expectations. Four simulation scenarios, each with measurable parameters including response time, lead time, and operational costs, were evaluated to identify the most cost-efficient and responsive solution. These parameters encompassed the performance metrics of the supply chain structure model, namely response time and lead time, in conjunction with the total operational cost of each scenario. Our findings reveal that scenario 1 emerges as the most cost-effective with the lowest distribution costs and shortest customer lead time. This scenario consistently maintains the lowest distribution costs from the first to the seventh year. Despite a surge in forecasted demand in the 7th year, resulting in an increase in total distribution costs to Rp. 3,392,793,440, scenario 1 still prevails with overall vehicle costs decreasing and the smallest percentage cost at 17.50%, thus yielding the most economical outcome compared to alternative scenarios. Scenario 4 offers a similar outcome to scenario 1 but incurs higher daily vehicle operating costs. The cost-effectiveness demonstrated by scenario 4 further highlights the significance of strategic DC placement in achieving optimal supply chain outcomes.
Food Safety Risk Analysis of Songkem Duck Using Failure Mode and Effect Analysis (FMEA) Method: Analisis Risiko Keamanan Pangan pada Bebek Songkem Menggunakan Metoda Failure Mode and Effect Analysis (FMEA) Anisa, Mawadatun; Burhan, Burhan; Indarto, Cahyo
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 8 No. 1 (2024): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v8i1.1682

Abstract

Food safety is an essential aspect of human health. Food processed without paying attention to food safety regulations can harm consumer health. This research aims to 1) identify activities with food safety risks, 2) determine the sequence of food safety risks that will be followed up, and 3) determine appropriate food safety risk mitigation. This research uses the Failure Mode and Effect Analysis (FMEA) method and fishbone diagrams. A case study was conducted on the Songkem pak Soleh Bangkalan duck supply chain. The research results show that activities that pose a food safety risk include receiving raw materials, storing raw material stocks, using raw materials and BTP, sanitizing production facilities, and storing finished products. The priority order of food safety risks in the Songkem duck supply chain is based on the FMEA method: storage of finished products, sanitation of production facilities, and storage of raw material stocks. Risk mitigation can be done to prevent food safety risks in storing raw material stocks and storing finished products, namely by controlling water activity (aw) and acidity factor (pH); and controlling the room's atmosphere. Meanwhile, to prevent risks due to sanitation hygiene, namely holding training to increase awareness of the importance of sanitation hygiene for restaurant employees monitoring and maintaining sanitation hygiene in the production environment.
Hazard Risk Analysis and Cathodic Maintenance Timing With Total Producvtive Maintenance Approach: Analisis Risiko Bahaya dan Penentuan Waktu Perawatan Katodik Dengan Pendekatan Total Producvtive Maintenance Dzulfikar, Tegar; Widiasih, Wiwin
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 8 No. 1 (2024): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v8i1.1687

Abstract

XYZ is a major player in natural gas distribution in Indonesia, with an extensive pipeline connecting production sources with a wide range of consumers, including households, industries, and power plants. The network ensures an efficient and safe gas supply throughout the region, with good distribution control for reliable service. However, corrosion problems in pipes can threaten the integrity of the system. To overcome this, PT. XYZ implements precautions such as protective coating and cathodic protection. Risk analysis and scheduled maintenance help reduce the impact of corrosion and minimize maintenance costs. The findings of this study reveal that optimal treatment can be established by analyzing potential risks through certain methods. The approach allows for the identification of possible hazards and helps in determining the most effective treatment measures.Thus, organizations can take appropriate precautions to reduce risks and ensure efficient maintenance. Total Productive Maintenance TPM, which recommends that maintenance be carried out every 3 days, has succeeded in reducing the maintenance cost of PT. XYZ Previously, the company incurred maintenance costs from Rp. 60,600,000 to Rp. 55,200,000 per month with an efficiency of 9.78% through the analysis of the maintenance budget. With the right precautions, PT. XYZ ensures efficient maintenance to maintain the smooth distribution of natural gas in a sustainable manner.
Analysis of Bolt Former Machine Effectiveness Using Overall Equipment Effectiveness (OEE) and Six Big Lossess: Analisis Efektivitas Mesin Bolt Former Menggunakan Overall Equipment Effectiveness (OEE) dan Six Big Losses Ardy, Haekal; Widiasih, Wiwin
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 8 No. 1 (2024): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v8i1.1688

Abstract

XYZ a manufacturer of nuts and bolts, frequently faced bolt former breakdowns that resulted in huge losses and disrupted the company's operational efficiency and reputation. To solve this problem, PT XYZ needs to implement an effective maintenance strategy and closely monitor machine conditions to reduce the risk of breakdowns and ensure smooth production. This can be analyzed using the OEE method that exists in the company to detect early symptoms of damage, and continuous monitoring of machine conditions. Based on the calculation (OEE) before maintenance scheduling is made on the bolt former machine is currently 69.34%, which is below the standard (JIPM) of 85%. Therefore, the machine still needs to increase productivity through the OEE and Six Big Losses methods and then proceed with analyzing the problem using a fishbone diagram. The results of the analysis found that the biggest factor of time loss was reduced speed losses of 23.15%. The value of setup and adjustment losses was 7.82%, idling and minor stoppages losses were 7.44%, equipment failure losses were 3.12%, defect losses were 0.99%, and scrap losses were 0.11%. After the implementation of OEE, it has an impact on the level of productivity with the calculation results increasing to 77.78%. The availability value reached 89.90%, the performance value was 87.75%, and the quality value was 99.57%.
Forecasting Analysis of Raw Material Needs for Manjakani and Pepet Key in the Manufacture of Madurese Herb Products : Analisis Peramalan Kebutuhan Bahan Baku Manjakani dan Kunci Pepet pada Pembuatan Produk Jamu Madura Asfan, Dian Farida; Ghooniyah, Indriana Mahrotul
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 8 No. 1 (2024): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v8i1.1689

Abstract

Demand for Madurese herbal products at PT. XYZ is increasing, especially for women's herbal medicine products, namely fragrant rapet herbal medicine. Uncertain demand means that the supply of raw materials for fragrant rapet herbal medicine, namely manjakani and pepet key, must be precise. Therefore, to meet the demand for herbal medicine, it is necessary to predict the need for raw materials for fragrant rapet herbal medicine. This article aims to predict the need for raw materials in the form of pepet and manjakani keys using various forecasting techniques, including average MA, WMA, ES and ES with trends. Forecasting results with the lowest MAD, MSE, and MAPE values—which show very minimal forecasting errors—will be selected for further examination. The results of the research show that for raw material needs for manjakani, the best forecast result value is 24.43 kg with the smallest percentage error value, namely MAPE of 11.255%, while for key raw material needs for pepet, the forecast result value is 13.59 kg with the smallest error percentage, namely MAPE of 14.851%.
Lean Six Sigma Project Selection to Improve College Business Processes: Pemilihan Proyek Lean Six Sigma untuk Meningkatkan Proses Bisnis Perguruan Tinggi Mulyana, Ig. Jaka; Gunawan, Ivan
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 8 No. 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v8i2.1717

Abstract

Higher education institutions are required to continuously improve the quality of their services to ensure institutional sustainability. Lean Six Sigma (LSS) offers a framework that integrates efficiency and quality improvement. This study aims to determine the priorities of LSS projects in higher education, considering the limited resources and the risk of project failure. The Analytical Hierarchy Process (AHP) and the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods were used to determine priorities. The results showed that improving human resources (HR) and financial information systems is a strategic step. An integrated HR system supports the effective management of lecturers and education personnel, while an accountable financial system increases the transparency and efficiency of financial management. Both systems contribute to improving the quality of services to students. This research provides a basis for developing a digital transformation roadmap for higher education institutions.
Clustering-Allocation Model Under Risk, and Emissions Factors: Evidence from an Indonesian Region Puspitorini, Pipit Sari
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 8 No. 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v8i2.1718

Abstract

This study contributes to risk-based location-allocation problems by constraining time and emergency medical services (EMS) carbon emissions. During the COVID-19 pandemic, this study develops a location set covering the problem of implementing ambulance allocation to optimize opening new facilities and the cluster with the highest emission value in heritage cities. This study also presents an integer linear program considering risk, time, and carbon emissions at three facilities with demand locations. The model was also validated using two cluster methods, K-means clustering and Agglomerative Hierarchical Clustering, with Python software and Google Collaboratory machine learning (GCC). The findings revealed the opening of three facilities and clusters with potential points, with the highest emission values at M3 (0.575% (kg). M2. potential point, with a value of 5832 represents the highest risk. Furthermore, the validation results indicate that the distance significantly total energy consumption (BTU) and carbon emissions (kg). This study ignores the vehicle category. It can be used as a reference by decision-makers by considering these parameters and making a clear contract with a third party in ambulance procurement for humanitarian logistics. The model will help provide insight into another region's relevant emergency medical center. Furthermore, research can anticipate strategies to deal with pandemic outbreaks.
Proposed Crane Machine Maintenance Schedule with Reliability Centered Maintenance Method: Usulan Jadwal Pemeliharaan Mesin Crane Dengan Metode Reliability Centered Maintenance Pratama, Dimas Maulana Agta; Widiasih, Wiwin
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 8 No. 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v8i2.1719

Abstract

PT XYZ is a steel smelting company located in Sidoarjo. The company is assisted in the production process by a total of 15 cranes to lift loads that cannot be lifted by bare human hands. Currently the crane machine has the highest downtime of 157 hours compared to other machines. The components that are often damaged are the hover control, braking system, and trolley cable. The purpose of this research is to find out what causes high downtime, know the maintenance schedule, and can improve the reliability of critical components. This research will discuss the maintenance scheduling of crane machine No. 5 using the Reliabilty Centered Maintenance method. The results showed that the cause of high downtime is 3 critical components, namely hover control, braking system, and trolley cable. The proposed maintenance schedule for the 3 critical components has a maintenance time interval of hover control every 250 hours, braking system every 397 hours, trolley cable every 1460 hours, and the machine reliability obtained is 60%. The costs incurred for preventive maintenance amounted to Rp. 382,104,000, this figure increased by Rp. 185,840,000 from the cost of corrective maintenance which initially amounted to Rp. 196,264,000.
Design and Build of Broom Handle Cutter and Shaper to Improve Production Efficiency and Working Time: Rancang Bangun Alat Pemotong dan Pembentuk Gagang Sapu untuk Meningkatkan Efisiensi Produksi dan Waktu Kerja Putra, Davin Herdiansyah; Widiasih, Wiwin
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 8 No. 2 (2024): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v8i2.1720

Abstract

This study designs a cutting and shaping tool for broom handles to improve production efficiency and reduce operator workload at Victory 2 Singa. The main issues include slow manual production processes, high costs due to the use of nails, and non-ergonomic tool designs. The proposed solution involves designing a new tool using Quality Function Deployment (QFD). Through QFD, customer requirements such as comfort, safety, durability, affordability, and ease of use are analyzed and translated into technical attributes for the tool. The results of the research show that the designed tool can meet the primary priorities, namely providing precise cutting results, ergonomic handle shapes, and an efficient working process.

Page 10 of 11 | Total Record : 106

 7   8   9   10   11 

Filter by Year

2017 2025


Reset
Filter By Issues
All Issue Vol. 9 No. 1 (2025): Juni Vol. 8 No. 2 (2024): December Vol. 8 No. 1 (2024): Juni Vol. 7 No. 2 (2023): December Vol. 7 No. 1 (2023): Juni Vol. 6 No. 2 (2022): Desember Vol. 6 No. 1 (2022): Juni Vol 5 No 2 (2021): Desember Vol 5 No 1 (2021): Juni Vol 4 No 2 (2020): Desember Vol 4 No 1 (2020): Juni Vol 3 No 2 (2019): Desember Vol 3 No 1 (2019): Juni Vol 2 No 2 (2018): December Vol 2 No 1 (2018): June Vol 1 No 2 (2017): December Vol 1 No 1 (2017): June More Issue