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A Stochastic Integrated Inventory Model Single Supplier-Single Retailer in Periodic Review with Losing Flexibility Cost Rizqi Afrizal; Utaminingsih Linarti
Jurnal Ilmiah Teknik Industri Vol. 21, No. 2, December 2022
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v21i2.19752

Abstract

Efficiency in the supply chain can be established by integrating the supplier-retailer inventory policy. This article proposes the integrated inventory model between supplier-retailer under stochastic demand. This model aims to determine the optimal review period and calculate the total inventory cost, including some defective items, backorder price discounts, and losing flexibility costs. We assume that the retailer can order  'n' times for every 'm' shipment from supplier to retailer in each production cycle under a periodic review. Stochastic conditions can cause sudden changes in orders by the retailer in large quantities, eventually forcing the supplier to reduce their setup policies. This condition makes the retailer be charged a losing flexibility cost as compensation for the reduction setup pushed by the supplier in a long-term partnership contract. Based on numerical examples and sensitivity analysis, the percentage of defective items in each shipment from supplier to retailer significantly affects integrated total inventory cost.
Optimization of Vehicle Routing Problem Using Particle Swarm Optimization: A Case Study Watering Plants in Yogyakarta City Riski Andriyansah; Utaminingsih Linarti
Jurnal Ilmiah Teknik Industri Vol. 21, No. 2, December 2022
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v21i2.19753

Abstract

Dinas Lingkungan Hidup (DLH) Yogyakarta City always tries to monitor, control, and control activities regarding all aspects of the environment, one of which is watering plants. The right path must be selected so as not to exceed the time limit set. This study aims to determine the direction of watering plants in Sector 3 for Vehicle Route Problem (VRP) using the Particle Swarm Optimization (PSO) and compare the performance results of the PSO method with the Genetic Algorithm (GA) in previous studies. The VRP criteria are heterogeneous fleet, intermediated facility, multi-trip, split delivery, and times window   (VRPHFIFMTSDTW). The results of the comparison between the two methods, namely, the GA method, are better than the PSO method in terms of computational time efficiency and fitness value. The total travel time for the GA method is 22 minutes, or 2.1% faster than the PSO method. In contrast, the total distance traveled by the PSO method is 345 meters shorter than the GA method. These two methods' results are also excellent compared to the current watering route. The difference in total mileage is about 20.4%, and total travel time is about 11.7% between the two methods.
Model Perilaku Partisipasi Warga di Bank Sampah (Studi Kasus di Bantul, DIY) Reni Dwi Astuti; Utaminingsih Linarti
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in April 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v19.n1.p50-58.2020

Abstract

The increasing volume of waste in Bantul Regency is a problem that must be solved. One of the things that the Regency Government does is by promoting waste banks. From the existing waste banks, citizen participation is still low, so it is not significant enough to reduce the volume of waste disposed of at the Piyungan landfill. One of the factors identified is the low interest of residents to join the waste bank. For this reason, a study of citizens' behavior is needed so that they join the waste bank with a theory of planned behavior coupled with knowledge of how and what and knowledge of consequences factors. Data collection was carried out by distributing questionnaires to members of the garbage bank. The number of respondents was 1265 from 29 waste banks spread throughout Bantul Regency. The method of data analysis uses linear regression. Research shows that attitudes, perceived behavioral control, knowledge of how and what, and knowledge of consequences have positive and significant effects, both simultaneously and partially, on the intention of residents to join the waste bank. Intention is also a significant positive and significant effect on behavior.