cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Hapsoro Agung Jatmiko
Contact Email
hapsoro.jatmiko@ie.uad.ac.id
Phone
+6289675274807
Journal Mail Official
ijio@ie.uad.ac.id
Editorial Address
Universitas Ahmad Dahlan, 4th Campus Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191 Phone: +62 (274) 563515, 511830, 379418, 371120 ext. 4902, Fax: +62 274 564604
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
International Journal of Industrial Optimization (IJIO)
Published by Universitas Ahmad Dahlan
ISSN : 27146006     EISSN : 27233022     DOI : https://doi.org/10.12928/ijio.v1i1.764
Core Subject : Science, Engineering,
Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering
The Journal invites original articles and not simultaneously submitted to another journal or conference. The whole spectrums of Industrial Engineering are welcome but are not limited to Metaheuristics, Simulation, Design of Experiment, Data Mining, and Production System. 1. Metaheuristics: Artificial Intelligence, Genetic Algorithm, Particle Swarm Optimization, etc. 2. Simulations: Markov Chains, Queueing Theory, Discrete Event Simulation, Simulation Optimization, etc. 3. Design of experiment: Taguchi Methods, Six Sigma, etc. 4. Data Mining: Clustering, Classification, etc. 5. Production Systems: Plant Layout, Production Planning, and Inventory Control, Scheduling, System Modelling, Just in Time, etc.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 5 Documents
 1 
Search results for , issue "Vol. 4, No. 1 (2023)" : 5 Documents clear
Using general-purpose integer programming software to generate bounded solutions for the multiple knapsack problem: a guide for or practitioners Emre Shively-Ertas; Yun Lu; Myung Song; Francis Vasko
International Journal of Industrial Optimization Vol. 4, No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v4i1.6446

Abstract

An NP-Hard combinatorial optimization problem that has significant industrial applications is the Multiple Knapsack Problem. If approximate solution approaches are used to solve the Multiple Knapsack Problem there are no guarantees on solution quality and exact solution approaches can be intricate and challenging to implement.  This article demonstrates the iterative use of general-purpose integer programming software (Gurobi) to generate solutions for test problems that are available in the literature. Using the software package Gurobi on a standard PC, we generate in a relatively straightforward manner solutions to these problems in an average of less than a minute that are guaranteed to be within 0.16% of the optimum.  This algorithm, called the Simple Sequential Increasing Tolerance (SSIT) algorithm, iteratively increases tolerances in Gurobi to generate a solution that is guaranteed to be close to the optimum in a short time. This solution strategy generates bounded solutions in a timely manner without requiring the coding of a problem-specific algorithm. This approach is attractive to management for solving industrial problems because it is both cost and time effective and guarantees the quality of the generated solutions.  Finally, comparing SSIT results for 480 large multiple knapsack problem instances to results using published multiple knapsack problem algorithms demonstrates that SSIT outperforms these specialized algorithms.
Online synchronous inspection and system optimization of flexible food packaging bags by using machine vision and sensing technique Lizhi Gu; Qiong Li; Ehui Huang; Mingrui Li; Shanping Gao; Kin Sam Yen; Shuting Li; Junqin Zhou; Zhenjie Chen
International Journal of Industrial Optimization Vol. 4, No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v4i1.6619

Abstract

Flexible food packaging in the market is increasingly favored, and its quality is essential and indispensable for safety and convenience.  However, quality inspection still stays in the manual stage, or partially manual inspection remains, in production, leading low efficiency, lack and even false inspection, hardly meeting the requirements of the modern output.  This paper proposes and optimizes the design of an automatic detection system with intelligence for flexible food packaging bag, which can effectively be adopted to check the quality of packaging trademark patterns, fillers, and sealing quality.  The inspection system runs with two-stage structure, machine vision, pressure sensing and synchronization to improve efficiency and ensure the normal production beat. Simplex Method is adopted to determine the best synchronous speeds online to achieve the best expectation. Comparison has been made between the manual inspection and our automatic operation, the sample of 10000 was statistically analyzed and results have shown that two workers were saved and the correctness rate of inspection raised up to 999.8‰.
Analysis of the effect of temperature and raw material mixes on the pyrolysis process with single retort-rocket stove technology on the characteristics of sawdust charcoal briquettes Syaiful Mansyur; Enda Apriani
International Journal of Industrial Optimization Vol. 4, No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v4i1.6688

Abstract

Government-subsidized LPG gas as household fuel for the poor is increasingly scarce. The discourse to return to using traditional fuels emerged because one of the biomass wastes, namely wood processing in the form of sawdust produced by small and medium industries, can be used to replace LPG gas. This study aims to determine the effect of peak temperature and sawdust mixture on making charcoal briquettes with Single Retort-Rocket Stove Pyrolysis Technology. This technology is one of the alternative pyrolysis technology used for self-heating. This technology is cleaner because the smoke can help speed up combustion to be more energy-efficient. The Rocket Stove system allows spreading of heat from the bottom to the top of the reactor. The raw material for use from Mahogany and Sonokeling Sawdust. Both types of sawdust combine with different ratios. Completely Randomized Design (CRD) non-factorial methods showed that all treatments, namely the ratio of sawdust mixtures and the temperature settings used, greatly influenced the proximate value obtained, where all experiments were very significantly different because Fcalculate > Ftable (0.05). The best briquette proximate results were found in an optimum mixture of rosewood and mahogany with a ratio of 70:30 at 350°C with a setting time of 1 hour, which is close to the SNI 01-6235 standard, with respective characteristic values, namely: 5.5% moisture content; ash content 5.3%; bonded carbon 66.2%; volatile matter content of 22.8% and a caloric value of 6470 cal/gr.   
Embedded response technology and service cloud platform for vehicle information tracking Muhammad Faisal; Ida Ida; Darniati Darniati; Irmawati Irmawati; Muh Khayyir
International Journal of Industrial Optimization Vol. 4, No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v4i1.6928

Abstract

Based on the Indonesia national police crime database, it is reported that vehicle theft cases have increased during the Covid-19 pandemic. The database reported an increasing trend of vehicle theft, 4,065 cases from January 2019 to January 2020 in the province and regency region. Therefore, to help police officers work and minimize the criminal cases of vehicle theft, an effective strategy is needed to reduce these threats. This study proposes implementing SMS and QRcode technology embedded in the vehicle for validation information. Cloud computing capabilities can offer real-time network access to technology resources that can be physically located anywhere geographically based on business needs. This technology can rapidly search and show detailed information regarding the specific vehicle, including the vehicle owner, the vehicle registration number, and the validation of the driver's license. To implement and examine the effectiveness of the proposed technology, this study was conducted an experimental study in a real-world setting from January 2021 until April 2021 in Makassar city, Indonesia. This study concluded that the proposed technology could successfully be implemented and effectively show detailed information regarding the specific vehicle based on the experimental results. This study concluded the potential use of the proposed technology in the real world as an alternative solution to minimize the criminal cases of vehicle theft. It can be used as an alternative solution to reduce the increase in criminal cases of inter-island private vehicle theft syndicates.
Long term currency forecast with multiple trend corrected exponential smoothing with shifting lags Muhammed Sutcu; Ibrahim Tumay Gulbahar
International Journal of Industrial Optimization Vol. 4, No. 1 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v4i1.6972

Abstract

In the current global economy, exchange rate forecasting is critical for investors and businesses seeking to make informed investment decisions and manage risk. While many short-term exchange rate forecasting methods exist, long-term forecasting methods are limited and often fail to account for the complex macroeconomic factors that influence exchange rate trends. However, investors need to have an analytically examined basis for deciding to invest, which requires knowing more about the future values of the related market currency. This paper proposes a new Multiple Trend Corrected Exponential Smoothing with Shifting Lags model to forecast long-term exchange rates, which incorporates multiple trend corrections and shifting lags to provide more accurate predictions of future currency values. We apply the proposed method to six currency pairs (USD/EUR, USD/NOK, USD/TRY, USD/CNY, USD/XOF, and USD/MGF) from 2006 to 2018 and compare its performance to existing methods, such as moving average, weighted moving average, and exponential smoothing. Our results show that the proposed model provides more accurate long-term exchange rate forecasts for developed countries than existing methods. Our findings have important implications for investors and businesses seeking to manage currency risk and make informed investment decisions in the global economy.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol. 6 No. 2 (2025) Vol. 6 No. 1 (2025) Vol. 5 No. 2 (2024) Vol. 5 No. 1 (2024) Vol. 4 No. 2 (2023) Vol. 4, No. 1 (2023) Vol. 3 No. 2 (2022) Vol. 3 No. 1 (2022) Vol 2, No 2 (2021) Vol. 2 No. 2 (2021) Vol. 2 No. 1 (2021) Vol 2, No 1 (2021) Vol. 1 No. 2 (2020) Vol 1, No 2 (2020) Vol 1, No 1 (2020) Vol. 1 No. 1 (2020) More Issue