Article Per Year (5 Year)
p-Index From 2021 - 2026
1.037
P-Index
This Author published in this journals
All Journal J@TI (TEKNIK INDUSTRI) Journal Industrial Servicess Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Journal of Research in Industrial Engineering and Management
Rully Tri Cahyono
Institut Teknologi Bandung
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Multi-agent Based Modeling of Container Terminal Operations Cahyono, Rully Tri
Journal Industrial Servicess Vol 6, No 2 (2021): MARET 2021
Publisher : Fakultas Teknik Jurusan Teknik Industri Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/62020

Abstract

The existing research in container terminal operations systems have not yet fully depicted the entire operations processes. Moreover, these past works tend to use centralized static (linear programming-based) modeling methods to model the systems. A more suitable approach in distributed and changing environment of seaports is dynamical multi-agent systems (MAS). The existing methods (centralized and static) result in high terminal operations cost, which is a burden to the terminal operators. This research aims to utilize of MAS-based dynamics methods, which is also expected to cope the current drawbacks of the sequential communication methods. Eight agents that depict entities in the terminal are ship, port captain, terminal manager, stevedore, quay crane, straddle carrier, customs, and truck. The agents interact in the processes of ship arrival sequencing, determination of ship’s service time and container picking. Based on the simulation result, agents’ behavior is able to depict the real systems, and the current problem of the operations cost can be reduced up to 3% using our proposed methods. The agents tend to maximize profit in the early period and gradually decrease it to attain common agreement. The velocity of utility function attainment is about 2-5%, but because of the descend monotonic function, negotiation agreement is guaranteed to be attained. Moreover, we provide the detail MAS-based dynamical model as well as the proof that the consensus will be attained by the entire agents.
Multi-agent Based Modeling of Container Terminal Operations Rully Tri Cahyono
Journal Industrial Servicess Vol 6, No 2 (2021): Maret 2021
Publisher : Fakultas Teknik Jurusan Teknik Industri Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v6i2.11107

Abstract

The existing research about multi-agent systems (MAS) in container terminal have not yet fully depicted the entire operations processes. These past works tend to use static (linear programming-based) modeling methods to model the systems. This method has a weakness because decision optimality is only guaranteed for the agents that are directly involved in the discussion. While the other agents whose performance are affected by the decision, but not directly taking part in discussion, are not considered in the decision-making process. The utilization of MAS-based dynamics negotiation method is also expected to cope lack of the sequential communication methods. Eight agents that depict entities in the terminal are ship, port captain, terminal manager, stevedore, quay crane, straddle carrier, customs, and truck. The agents interact in the processes of ship arrival sequencing, determination of ship’s service time and container picking. Based on the simulation result, agents’ behavior is able to depict the real system. The agents tend to maximize profit in the early period and gradually decrease it to attain common agreement. The velocity of utility function attainment is about 2-5%, but because of the descend monotonic function, negotiation agreement is guaranteed to be attained. Moreover, we provide the detail MAS-based dynamical model as well as the proof that the consensus will be attained by the entire agents.
Discrete-Event Control and Predictive Optimization of Fuel Tankers and Pumps Allocation Adrian Ramanda; Nur Faizatus Sa'idah; Rully Tri Cahyono
Journal of Research in Industrial Engineering and Management Vol 1 No 1 (2023): May 2023
Publisher : Program Studi Teknik Industri, Fakultas Teknologi Industri, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61221/jriem.v1i1.8

Abstract

This paper deals with a dynamic scheduling model of a general fuel tankers and pumps operations. The models are dynamics because the ships’ arrival time is allowed to vary. The goal of the study is to determine the optimal berth allocation/scheduling and the policy recommendations, which minimize ships’ total waiting time, berth occupancy ratio, and ships’ charter cost. Discrete-event Systems (DES) modeling is chosen due to aperiodicity in ships’ arrival time and asynchrony operations’ time among different berthing positions. Two DES models are developed, i.e.: (1) multiple cost allocation problem (MBAP) for the supply jetty and (2) simple berth allocation problem (SBAP) for the consignment jetty. Furthermore, we use model predictive control (MPC) to optimize the DES model, and we also provide mathematical analysis of the proposed algorithm. Numerical examples examining two cases (tidal and non-tidal) in each of the two models are presented to illustrate the optimal solution. The problem encountered is that current berth allocation is not working efficiently, as indicated by the average waiting time for ships at the supply jetties (jetties 1 and 2) which is above the standard (14 hours), while the consignment jetty (jetty 3) is well below standard.
A NOVEL DEMAND FORECASTING METHOD USING LOGISTIC REGRESSION AND CONJOINT ANALYSIS FOR PREDICTING THE VOLUME OF NEW TRANSPORTATION ACTIVITIES Cahyono, Rully Tri; Adabi, Akmalul
J@ti Undip: Jurnal Teknik Industri Vol 20, No 3 (2025): September 2025
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jati.20.3.138-147

Abstract

In developing new transportation projects, the common approach is to prioritize infrastructure first, with the expectation that demand will follow. This is particularly true for public sector logistics activities, such as seaports, airports, and logistics zones. Unlike the private sector, predicting future demand for public transportation is more challenging due to its complexity. Incorrect demand forecasting can result in improperly sized infrastructure and inefficient human resource allocation. This paper introduces a novel method for forecasting demand in public sector transportation projects. It integrates historical data with the perceptions of transportation stakeholders, improving forecasting accuracy. The method combines conjoint analysis with disaggregated forecasting for each product group. It was applied to a real case namely the Indonesian Ministry of Transportation's plan to develop a cargo transshipment terminal at Denpasar Airport in Bali. A survey of 233 logistics professionals in Jakarta, Bandung, and Denpasar was conducted, and the forecasts were verified through interviews. The results showed that the forecasts for each product category were accurate. This method’s reliability suggests its potential for use in other transportation development projects.
Integrated Optimization of Heterogeneous Fleet Deployment, Sailing Speed, and Bunkering Strategy Considering Adaptive Safety Stock Muhammad Syolahudin Abdurrahman; Tresnaningati Sekar Pramesta; Lailatul Rohmah; Suprayogi Suprayogi; Andi Cakravastia; Rully Tri Cahyono
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 28 No. 1 (2026): June 2026
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.28.1.59-75

Abstract

Logistics cost inefficiencies often stem from fragmented operational policies. Volatile global fuel prices and unpredictable maritime schedules further complicate matters. Traditional isolated optimization methods frequently fail to ensure supply chain resilience. This study addresses these limitations by developing a Mixed-Integer Linear Programming (MILP) model. The model simultaneously integrates three core strategic decisions: heterogeneous fleet deployment, sailing speed optimization, and bunkering strategy. Inventory thresholds are dynamically adjusted based on real-time sailing conditions and port-to-port consumption rates, moving beyond static buffer assumptions. This model incorporates an adaptive stock mechanism to mitigate energy supply uncertainties at transit ports while minimizing total costs, which diverges from conventional approaches. The mathematical formulation is designed to minimize total operating expenses while accounting for technical constraints, such as fixed time windows and fluctuating cargo capacities. Optimization results show that integrating these variables effectively reduces cost inefficiencies. Quantitatively, the Proposed Scenario reduced Total Cost by 18.89%, saving USD 191,555 per service cycle compared to the Existing Scenario. The integrated approach uncovers a significant trade-off between speed reduction and inventory holding costs, identifying a more balanced operational equilibrium than previous models. The findings demonstrate that applying adaptive safety stock enhances the robustness of the bunkering strategy by aligning minimum inventory levels with fuel consumption across segments between bunkering ports. This study contributes to maritime management theory by synchronizing adaptive fuel inventory management with vessel deployment and speed optimization. There are practical implications for designing more resilient and cost-effective shipping strategies. Finally, this framework serves as a precursor tool for shipping liners to maintain service reliability while navigating the complexities of modern maritime logistics.
Co-Authors Adabi, Akmalul Adrian Ramanda Andi Cakravastia Lailatul Rohmah Muhammad Syolahudin Abdurrahman Nur Faizatus Sa'idah Suprayogi Suprayogi Tresnaningati Sekar Pramesta