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Anak Agung Ngurah Perwira Redi
Sampoerna University
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Tabu search heuristic for inventory routing problem with stochastic demand and time windows Meilinda Fitriani Nur Maghfiroh; Anak Agung Ngurah Perwira Redi
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 2 (2022): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (917.832 KB) | DOI: 10.30656/jsmi.v6i2.4813

Abstract

This study proposes the hybridization of tabu search (TS) and variable neighbourhood descent (VND) for solving the Inventory Routing Problems with Stochastic Demand and Time Windows (IRPSDTW). Vendor Managed Inventory (VMI) is among the most used approaches for managing supply chains comprising multiple stakeholders, and implementing VMI require addressing the Inventory Routing Problem (IRP). Considering practical constraints related to demand uncertainty and time constraint, the proposed model combines multi-item replenishment schedules with unknown demand to arrange delivery paths, where the actual demand amount is only known upon arrival at a customer location with a time limit. The proposed method starts from the initial solution that considers the time windows and uses the TS method to solve the problem. As an extension, the VND is conducted to jump the solution from its local optimal. The results show that the proposed method can solve the IRPSDTW, especially for uniformly distributed customer locations.
Pemilihan Lokasi Operasi Timbang untuk fasilitas Community & Playground Center Menggunakan Model Maximum Covering Location Problem di Kota Iloilo, Filipina Anak Agung Ngurah Perwira Redi; Roland Ross Faina Flame; Anak Agung Ngurah Agung Redioka; Winarno Winarno; Adji Chandra Kurniawan
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 2 (2022): December
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (733.653 KB) | DOI: 10.30656/jsmi.v6i2.4599

Abstract

Operation Timbang (OPT) Plus is one of the Philippines’ programs that focuses on nutrition by conducting an annual assessment for 0-59 months old children in barangays to identify the malnutrition data in the area. The barangay is the smallest administrative entity in the Philippines. OPT is a plan of action that estimates the number of malnutrition individuals and identifies those who will get prioritized programs in the community. The Iloilo City Health Office conducted the program in seven districts in the Philippines. The office planned to establish a community centre and playground facility based on the priority/demand areas. Maximum Covering Location Problem (MCLP) is used for this study to determine the optimal location that covers the area. A Mathematical Programming Language (AMPL) is used to apply mathematical programming to the MCLP. The results can be used to identify the optimal facility and the maximum coverage of the demand points. The experiment showed that the facility located in Mandurriao District is the optimal facility location. For Underweight/Severely Underweight children, a maximum total of 646 are covered, and for the Overweight/Obese, 1,041 are covered for the chosen facility. In addition, the findings of the sensitivity analysis indicate that the building of the three facilities in the case study can offer 100 percent of the required coverage area.
Cuckoo search algorithm for construction site layout planning Meilinda Fitriani Nur Maghfiroh; Anak Agung Ngurah Perwira Redi; Janice Ong; Muhamad Rausyan Fikri
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i2.pp851-860

Abstract

A novel metaheuristic optimization algorithm based on cuckoo search algorithm (CSA) is presented to solve the construction site layout planning problem (CSLP). CSLP is a complex optimization problem with various applications, such as plant layout, construction site layout, and computer chip layout. Many researchers have investigated the CSLP by applying many algorithms in an exact or heuristic approach. Although both methods yield a promising result, technically, nature-inspired algorithms demonstrate high achievement in successful percentage. In the last two decades, researchers have been developing a new nature-inspired algorithm for solving different types of optimization problems. The CSA has gained popularity in resolving large and complex issues with promising results compared with other nature-inspired algorithms. However, for solving CSLP, the algorithm based on CSA is still minor. Thus, this study proposed CSA with additional modification in the algorithm mechanism, where the algorithm shows a promising result and can solve CSLP cases.
Mix method analysis for analyzing user behavior on logistic company mobile pocket software Satria Fadil Persada; Farid Afandi; Anak Agung Ngurah Perwira Redi; Reny Nadlifatin; Yogi Tri Prasetyo; Adji Candra Kurniawan
Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v7i1.5937

Abstract

The present study emphasizes mixed-method analysis, integrating the partial least square structural equation model (PLS-SEM) and customer journey for mobile pocket office improvement in logistic XYZ company. The extension of the unified theory of acceptance and use of technology (UTAUT 2) model by incorporating perceived risk (PR), personal innovativeness (PI), and trust (TR) variables are used. The sample for this study consisted of 243 res­pondents. Based on the results of the PLS-SEM analysis, two of the eleven tested hypotheses were determined to be rejected. In application usage, the proposed model effectively explained 85.7 per cent of the influence on beha­vioral intention (BI) and 72.1 per cent on use behavior (UB). The customer journey mapping (CJM) investigation's findings show that fluctuations in the use of mobile pocket office technology in the field are generally brought on by a lot of data entry, sluggish internet connections, and overworked field operations. The XYZ company may acquire sugges­tions and knowledge for developing further applications due to this inquiry.
Optimal Location Selection for Mega-Kitchens in the Network Design of Free Lunch Programs in Nusa Tenggara Barat Adji Candra Kurniawan; Anak Agung Ngurah Perwira Redi; Delinda Amarajaya; Theodora Rinda Hernawati; I Dewa Gde Yogindra Adipramana
Jurnal Serambi Engineering Vol. 9 No. 4 (2024): Oktober 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study addresses the optimization of the supply chain network for the free lunch program in West Nusa Tenggara, Indonesia, aiming to enhance operational efficiency and service quality. The primary objective was to determine the optimal number and locations of mega-kitchens required to ensure efficient and timely meal delivery to various elementary schools across the region. Employing a combination of Greenfield Analysis (GFA) and simulation techniques within the anyLogistix software, the research systematically improved the supply chain configuration across five iterative simulations. The initial setup, with only one mega-kitchen, resulted in a 45% Expected Lead Time (ELT) Service Level, highlighting significant inefficiencies. Progressive iterations incorporated additional mega-kitchens, leading to substantial improvements in service levels and reductions in transportation costs. By the fifth iteration, the introduction of a fifth mega-kitchen achieved a perfect 100% ELT Service Level, demonstrating optimal operational efficiency with significant cost reductions. The findings confirm that strategic increases in the number of mega-kitchens, coupled with optimal location planning, significantly enhance the service delivery framework, meeting logistic demands while aligning with regional health and nutrition goals. This study illustrates the efficacy of advanced simulation tools in strategic planning and provides a scalable model for similar public health initiatives globally. Future research could explore more complex scenarios, including multi-modal transportation options and variable demand forecasts, to refine the operational efficiencies of such critical service delivery programs further.
Co-Authors Adji Candra Kurniawan (Universitas Pertamina) Adji Chandra Kurniawan Anak Agung Ngurah Agung Redioka Delinda Amarajaya Farid Afandi I Dewa Gde Yogindra Adipramana Janice Ong Meilinda Fitriani Nur Maghfiroh Muhamad Rausyan Fikri Reny Nadlifatin Roland Ross Faina Flame Satria Fadil Persada Theodora Rinda Hernawati Winarno Winarno Yogi Tri Prasetyo