1 to 10 of 26 Results
Purba Daru Kusuma; Abduh Sayid Albana, 2022, "A Parallel Permutation Flow-Shop Scheduling Model by Using a Two-Step Evolutionary Algorithm to Minimize Intermediate Storage with Tolerable Maximum Completion Time", https://doi.org/10.34820/FK2/DC4WZP, Telkom University Dataverse, V1
This work aims to minimize intermediate storage with a tolerable maximum completion time level. In this work, the proposed model was developed by using an evolutionary algorithm (EA). |
Purba Daru Kusuma; Ratna Astuti Nugrahaeni, 2022, "Collaborative Course Assignment Problem to Minimize Unserved Classes and Optimize Education Quality", https://doi.org/10.34820/FK2/L8ES0C, Telkom University Dataverse, V1
This work proposes a collaborative course assignment model among universities. It is different from existing studies in educational assignment problems or course timetabling, where the scope is only within the institution or department. In this work, the system consists of severa... |
Purba Daru Kusuma; Ratna Astuti Nugrahaeni, 2022, "Collaborative flow-shop scheduling using simulated annealing and first price sealed bid auction to minimize total cost and make-span", https://doi.org/10.34820/FK2/GIMMFJ, Telkom University Dataverse, V1
This work proposes a new flow-shop scheduling model that consists of several flow-shops. Every flowshop acts as an independent entity, but there is a collaboration among them. Although the relation between flow-shops and their customers is exclusive, collaboration through produc... |
Purba Daru Kusuma, 2022, "Collaborative vendor managed inventory model by using multi agent system and continuous review (r, q) replenishment policy", https://doi.org/10.34820/FK2/Z4QOD3, Telkom University Dataverse, V1
In this work, we develop VMI model for the multi-vendor-customer-product scenario. This model is developed based on the collaborative multi-agent system. |
Purba Daru Kusuma; Ratna Astuti Nugrahaeni, 2022, "Coordinated COVID-19 vaccination scheduling model by using nearest distance-single course timetabling method", https://doi.org/10.34820/FK2/X2LMRE, Telkom University Dataverse, V1
This work proposes a new coordinated vaccine scheduling model suitable for the city size COVID-19 vaccination program. It is different from the existing COVID-19 vaccination scheduling mechanism where there is no coordination among endpoint providers. |
Purba Daru Kusuma; Meta Kallista, 2022, "Dispatching Model in Online Taxi System by Using Stable Marriage and First Price Sealed Bid Auction Models", https://doi.org/10.34820/FK2/UBUYJF, Telkom University Dataverse, V1
This work aims to develop a dispatching model for online taxi system that accommodates these aspects too rather than waiting time and pickup cost only. This model is developed by combining stable marriage and first price sealed bid auction. |
Purba Daru Kusuma; Ashri Dinimaharawati, 2022, "Fixed Step Average and Subtraction Based Optimizer", https://doi.org/10.34820/FK2/QTDX72, Telkom University Dataverse, V1
This work proposes a new metaheuristic algorithm: a fixed-step average and subtraction-based optimizer (FS-ASBO). This algorithm is the improved version of the average and subtraction-based optimizer (ASBO). |
Purba Daru Kusuma, 2022, "Hybrid Make-to-Stock and Make-to-Order (MTS-MTO)Scheduling Model in Multi-Product Production System", https://doi.org/10.34820/FK2/Z69FHT, Telkom University Dataverse, V1
This work aims to propose hybrid MTS-MTO model that can improve lead time and maintain low inventory. In this work, we propose three hybrid MTS-MTO scheduling models for the multi-product production system. |
Purba Daru Kusuma; Ashri Dinimaharawati, 2022, "Hybrid Pelican Komodo Algorithm", https://doi.org/10.34820/FK2/4PZIZ9, Telkom University Dataverse, V1
In this work, a new metaheuristic algorithm, namely the hybrid pelican Komodo algorithm (HPKA), has been proposed. This algorithm is developed by hybridizing two shortcoming metaheuristic algorithms: the Pelican Optimization Algorithm (POA) and Komodo Mlipir Algorithm (KMA). |
Purba Daru Kusuma, 2022, "K medoid-least cost combined model in combined and scheduled shipping service", https://doi.org/10.34820/FK2/KWI9RW, Telkom University Dataverse, V1
In this work, we develop dispatch model that supports combined shipping model. In combined shipping model, customer can create one order that contains more than one destination. |
