1 to 10 of 26 Results
Purba Daru Kusuma, 2022, "Modified k-means clustering model in multi stire delivery service", https://doi.org/10.34820/FK2/UWEYZR, Telkom University Dataverse, V1
In this work, we propose the centralized shared delivery service model. As a centralized model, the delivery service is handled by the central management so that coordination in delivery process among vehicles can be more efficient. |
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Purba Daru Kusuma, 2022, "Modified K-means clustering in multi store delivery service", https://doi.org/10.34820/FK2/ZLWUXK, Telkom University Dataverse, V1
In this work, we propose the centralized shared delivery service model. As a centralized model, the delivery service is handled by the central management so that coordination in delivery process among vehicles can be more efficient. |
Purba Daru Kusuma, 2022, "Multi step automatic order fulfillment model in general trading company", https://doi.org/10.34820/FK2/JYGVAN, Telkom University Dataverse, V1
In this work, we propose three purchase order fulfillment model. In this work, our proposed models are developed by combining several common models, such as: FCFS, smallest quantity, highest price, and bidding models. |
Purba Daru Kusuma, 2022, "Modified sine wave based model in madurese batik pattern generation", https://doi.org/10.34820/FK2/LQETOK, Telkom University Dataverse, V1
In this work, we develop batik pattern model that identical with Madurese batik pattern. This model is developed by using sinusoid or sine wave as its basis model rather than popular fractal model |
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. |
Purba Daru Kusuma, 2022, "Weighted round robin based production scheduling model for seasonal product", https://doi.org/10.34820/FK2/0KEBDV, Telkom University Dataverse, V1
In this work, we propose new approach in production scheduling model based on Weighted Round Robin (WRR) scheduling method which is common in computer and networking fields. |
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, 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; 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; 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... |
