11 to 20 of 26 Results
Purba Daru Kusuma; Dimas Adiputra, 2022, "Modified Social Forces Algorithm: from Pedestrian Dynamic to Metaheuristic Optimization", https://doi.org/10.34820/FK2/7GFPBU, Telkom University Dataverse, V1
This work proposes a new simple metaheuristic optimization method inspired by the social forces model used in pedestrian dynamics. The proposed model is a swarm-based model where a collective intelligence is shared among the agents, consisting of several persons or agents who wal... |
Purba Daru Kusuma, 2022, "Multi-parameter Coordinated Public School Admission Model by using Stable Marriage", https://doi.org/10.34820/FK2/4TZFSM, Telkom University Dataverse, V1
This work proposes coordinated public school admission model that accommodates flexible number of the concerned parameters. It is built based on the stable marriage algorithm or the deferred-acceptance algorithm as its derivative. |
Purba Daru Kusuma; Meta Kallista, 2022, "Pickup and delivery problem in the collaborative city courier service by using genetic algorithm and nearest distance", https://doi.org/10.34820/FK2/3X9FNO, Telkom University Dataverse, V1
This work aimed to propose a novel collaborative PDP model which minimizes total travel distance while maintains low outsourced jobs. |
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; Abduh Sayid Albana, 2022, "University Course Timetabling Model in Joint Courses Program to Minimize the Number of Unserved Requests", https://doi.org/10.34820/FK2/QD1ZVN, Telkom University Dataverse, V1
This work proposes a novel course timetable model for the national joint courses program. In this model, the participants, both students and lecturers, come from different universities. |
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; Dimas Adiputra, 2022, "Lecturer-course assignment model in national joint courses program to improve education quality and lecturers' time preference", https://doi.org/10.34820/FK2/3UHLDR, Telkom University Dataverse, V1
this work proposes a novel lecturer course assignment model that suits this program. The lecturers' preferred courses and timeslots become hard constraints. The model has three objectives: (1) maximizing the educational quality, (2) maximizing the lecturers' time preference, and... |
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, "Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithm", https://doi.org/10.34820/FK2/APKG5I, Telkom University Dataverse, V1
This work aims to develop a novel batch scheduling model for a collaborative multi-product flow shop system. Its objective is to minimize make-span and total production cost. This model is developed by using non-dominated sorting genetic algorithm (NSGA II) which is proven in man... |
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. |
