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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 6 Documents
 1 
Search results for , issue "Vol 5 No 1 (2021): Juni" : 6 Documents clear
Analisa Resiko Postur Kerja Berdasarkan Hasil Evaluasi Menggunakan Metode Quick Exposure Check Achmad Ganni Rizaldi; Atikha Sidhi Cahyana
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 5 No 1 (2021): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v5i1.1350

Abstract

UMKM XYZ merupakan industri bergerak dibidang pembuatan sepatu, produk yang menjadi unggulan adalah jenis sepatu bordir. Proses pengerjaan pembuatan sepatu bordir membutuhkan penanganan secara manual oleh pekerja sehingga pada proses produksinya masih terdapat serangkaian postur kerja yang tidak ergonomi. Metode penilaian postur kerja yang digunakan yaitu Quick Exposure Check (QEC). Metode QEC dipilih karena metode ini merupakan metode yang sederhana dan mudah untuk dipahami serta metode ini juga menilai dari dua sudut pandang, yaitu worker assessment dan observer assessment. Berdasarkan dari penelitian ini perhitungan kembali total exposure level dari usulan perbaikan fasilitas kerja, diharapkan mendapat nilai exposure level dengan range
Development of Particle Swarm Optimization and Simulated Annealing Algorithms to Solve Vehicle Routing Problems with Drones Hasan Aji Prawira; Budi Santosa
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 5 No 1 (2021): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v5i1.1398

Abstract

Vehicle Routing Problem with Drone (VRPD) is a problem of determining the number of routes for delivery of goods from the depot to a number of customers using trucks and drones. Drones are an alternative delivery tool besides trucks, each truck can be equipped with a support drone. Drones can be used to make a delivery while the truck is making others. By combining a truck and a drone, the truck can act as a tool for drone launch and landing so that the drones can reach long distances from the depot. The purpose of this problem is to minimize the cost of sending goods by trucks and drones. In this study, the Particle Swarm Optimization (PSO) and the Simulated Annealing (SA) are proposed to solve these problems. The Route Drone algorithm are used to help change the structure of the PSO and SA solutions into a VRPD solution. The proposed algorithm has been applied to 24 different scenarios ranging from 6 customers to 100 customers. The PSO and SA algorithms are able to find solutions that are close to optimal. The SA is able to find a better solution than the PSO.
Development of Lean Assessment Tools Dimensions and Indicators For SMEs in Indonesia David Dwi Harjanto; Putu Dana Karningsih
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 5 No 1 (2021): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v5i1.1426

Abstract

In advance, the lean concept was used and applicated for big manufacturing industry. However, the lean concept used widely for all kinds of industry in the world. The improvement practice as lean and JIT also used for small industry (SMEs) in any countries which have implemented lean. The SMEs which have implemented lean showed any improvement, as the increasing of efficiency and flexibility, clear of communication and close with the Customers so the response and feedback are quicker and the costs are lower. The lean assessment tools used to value the effectiveness and the efficiency from lean implementation in the certain industry. The development of lean assessment tool for SMEs done by considering the difference between SMEs characteristic with industry a big scale. Have been many studies development of lean assessment to measure lean implementation in manufacturing industry and service generally without considered the size of his industry. However there are just a few development of lean assessment tools study that specific to measure the implementation lean manufacturing on SMEs. Therefore, this study aims to collect and compare the dimensions and indicators of the Lean Assessment Tool from several countries that are suitable for use in manufacture SMEs in Indonesia.
Multimethodological Framework in the Development of Traceability Systems for Food Supply Chains Ivan Gunawan
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 5 No 1 (2021): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v5i1.1439

Abstract

Food traceability has an important role in maintaining the sustainability of the food supply chain. Every player in a food supply chain must be able to create an internal and external traceability so that the chain traceability can be formed. However, building a suitable food traceability system is not an easy task. The development of a food traceability system has been identified as a complex problem due to the difficulty of accommodating the varied characteristics of each stage in the food supply chain and the interdependence between stages in the food supply chain. Therefore, to solve these complex problems a multimethodology approach is proposed. The multimethodology approach is believed to be able to solve complex multidimensional problems. This article describes a framework for multimethodology in the development of a food traceability system that involves the integration of the Decision Making Trial and Evaluation Laboratory and Interpretive Structural Modeling (DEMATEL-ISM) and System Dynamics (SD). The vegetable oil industry which manages its products in bulk is an interesting case study for the development of a food traceability system because the upstream is in the commodity focused chain and the downstream is in the consumer driven value chain. Ultimately, the multi-methodological framework proved effective in answering the research question of "How to develop a suitable traceability system for the bulk vegetable oil industry?"
Analysis of Demand Disruption on Product Availability in the Retail Industry Nuarania Nadif; Iwan Vanany
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 5 No 1 (2021): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v5i1.1504

Abstract

The customer behavior in shopping were changing the demand disruptions when the COVID-19 pandemic attacked the countries. Retail industries are one of business sectors which were directly impacted the availability of item products. The purpose of this study is to understand the level of demand disruptions of COVID-19 pandemic using Bayesian Network (BN). BN method is powerful method to assess and decide the uncertainly of demand and risk. Based on relevant literature and interviews, the hierarchy of BN were developed and stock out data to represent the product of availability in 5 case study were collected in case study. Finally, the analysis to understand the level of demand disruptions each item products, product family and categories have been performed. This paper provides a new evidence by changing of shopping behavior when the COVID-19 pandemic attached in Indonesia and presents the BN application could be used to handle risk assessment based on stock out data systematically and comprehensively.
Computational Liquid Dynamic Simulation Mixing Time from Side Inlet Mixer Tank Nadia Mumtazah; Ainurazis Ramadhana Putraninghadi; Ni'am Nisbatul
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 5 No 1 (2021): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v5i1.1505

Abstract

This study aims to investigate the mixing time of the side-entry mixer tank and the influence of the propeller's rotational speed on mixing time by the Computational Fluid Dynamic (CFD) method. The tank's model is a flat-bottom cylinder tank whose diameter is 40 cm with a 6 cm propeller contains three blades. The tracer, HCL 37%, was injected on the water's surface while the propeller's rotation speed is varied 100 rpm, 200 rpm, 300 rpm, and 400 rpm. The simulation process is examined using CFD FLUENT 17.1, with a turbulence model is k-ɛ RNG. Its conditions are single-phase then proceeded using species transport. Furthermore, the monitoring point's simulation is identical to the experimental data monitoring probe, which is used to inspect the mass fraction at each point. After all, this simulation contains three processes: pre-processing, solving, and post-processing. as a result, the propeller's higher rotational speed makes the mixing time shorter in the CFD method, which has a good agreement with the experimental method. Moreover, this study also examines the impact of the grid's type and the geometric size for the mixing process in the side-entry mixer tank.

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