Agent-based Truck Appointment System for Containers Pick-up Time Negotiation

Congestion in the seaports area is a common issue in many parts of the world. Fluctuating truck arrival has been identified as one of the significant determinants of congestion. In response, a truck appointment system (TAS) is introduced to manage truck arrival, particularly at peak times. In the existing TAS mechanism, the scheduling decision is centralized and disregards the concerns of trucking companies. Moreover, TAS may complicate the business operation of trucking companies that already have a constrained truck schedule. This study proposes a decentralized negotiation mechanism in TAS that allows trucking companies to adjust arrival times by utilizing the waiting time estimation provided by the terminal operator. We develop an agent-based model of a TAS in the container terminal pick-up procedure. The simulation results indicate that compared to the existing TAS mechanism, the negotiation TAS mechanism generates a shorter average truck turnaround time regardless of truck arrival rates. In terms of average net time cost, the negotiation TAS mechanism provides better value under high truck arrival rate conditions. The incentive for trucking companies to participate in the negotiations is even higher at peak times

Warehouse Specification Proposition for Urbanis (Urban Farming Company) Using Discrete Event Simulation Method

Two percent of the world's surface use for cities, yet it consumes 75 percent of its resources. Urban farming is an emerging alternative food network that could supply some of the food needs in cities with less emission, healthier food, and the environment. Urbanis is a company that likes to contribute to the acceleration of urban farming, especially in Indonesia, by utilizing vacant land and labor. In 2021, Urbanis plans to scale up the production capacity to 10 tonnes per month or 400 kg per day. It requires us to have a warehouse to store the food product that has not been absorbed by the market. The purpose of this study is to find warehouse specifications for Urbanis and the amount of labor and rack inside the warehouse alongside capital and operational expenditure. This research uses a layout with an area of 5x14 meters for experimental design. The model then translated into a discrete-event simulation model named Anylogic. The results show, for each amount of arrival, the number of labor that utilizes effectively are two labors with a maximum number of rack 50. Given these results, the author conducted operational and capital expenditure, which consist of variable analysis and additional variables such as a table, fan, and chair. The result is Urbanis need Rp 50.738.000 for capital expenditure while Rp 10.871.337 for operational expenditure

Agent-based inter-organizational systems in advanced logistics operations

“Agent-based Inter-organizational Systems (ABIOS) in Advanced Logistics Operations” explores the concepts, the design, and the role and impact of agent-based systems to improve coordination and performance of logistics operations. The dissertation consists of one conceptual study and three empirical studies. The empirical studies apply various research methods such as a multiple-case study research, coordination mechanism design, and predictive analytics using big data. The conceptual study presents a theoretical exploration and synthesis explaining the demand for inter-organizational systems (IOS) and the corresponding IOS functionalities. The first empirical study presents a multiple-case study exploring real

A Comparative Case Study on Performance Management System in Architecture, Engineering, and Construction Start-up Enterprises in Indonesia

Abstract. Despite a growing sense that start-up enterprise is critical to economic growth, the topic of performance management affects strategic and organizational processes remains largely understudied. In Indonesia, as a sphere where the entrepreneurial ecosystem is on the rise, we explored the strategy of Architecture, Engineering, and Construction (AEC) start-up firms using a Balanced Scorecard (BSC). This research aims to determine how suitable the BSC is applied to AEC start-ups and how this tool is implemented as the enterprise evolves. We conduct in-depth case studies using multiple data sources, including interviews and field observation. By performing the comparative analysis, we identified managerial practices that enable the networking of BSC perspectives – learning and growth, internal process, customer, and financial – during the start-up lifecycle. From the contribution to the literature perspective, this study provides empirical evidence that the BSC is a valuable performance management tool for early-stage firms. However, the BSC must be reconfigured regularly to reflect the current development stage’s objectives throughout implementation. As the business implications, this research helps AEC entrepreneurs see the significance of achieving organizational balance to drive growth and transition from agile start-ups to sustainable companies. Future research may examine the interconnection between managerial control systems and leadership attributes in different business contexts.Keywords:  AEC firms, Balanced Scorecard, Performance Management System, Start-up Lifecycl

Relocating a Multiple-tenants Logistics Center: Lesson Learned from an Air Cargo Terminal Relocation Project

AbstractMoving a logistics center while assuring uninterrupted operation is a complex process. The task is even more complex as the relocation project intersects with the concerns the multiple stakeholders. Defining a proper plan to ensuring smooth transition execution is key. Stakeholders conditioning, infrastructure and facilities readiness, human resources, and the logistics operation transition plan are some of the concerns that have to be considered when defining the relocation action plan. Several relocation scenarios have to be developed and assessed before defining the final relocation plan. In this case study, we share our first-hand empirical experience in preparing an action plan for relocating an operating air cargo terminal of one of the biggest airports in the south-east Asia. The paper offers two main contributions. The first one is the air cargo center relocation framework which elaborated important sequences in translating the facility relocation objectives into the final relocation action plan definition. The second contribution, is the conceptual model of air cargo center relocation planning process which portrays the interdependencies and the contingencies among different aspects of the relocation components

Data Driven Building Electricity Consumption Model Using Support Vector Regression

Every building has certain electricity consumption patterns that depend on its usage. Building electricity budget planning requires a consumption forecast to determine the baseline electricity load and to support energy management decisions. In this study, an algorithm to model building electricity consumption was developed. The algorithm is based on the support vector regression (SVR) method. Data of electricity consumption from the past five years from a selected building object in ITB campus were used. The dataset unexpectedly exhibited a large number of anomalous points. Therefore, a tolerance limit of hourly average energy consumption was defined to obtain good quality training data. Various tolerance limits were investigated, that is 15% (Type 1), 30% (Type 2), and 0% (Type 0). The optimal model was selected based on the criteria of mean absolute percentage error (MAPE) < 20% and root mean square error (RMSE) < 10 kWh. Type 1 data was selected based on its performance compared to the other two. In a real implementation, the model yielded a MAPE value of 14.79% and an RMSE value of 7.48 kWh when predicting weekly electricity consumption. Therefore, the Type 1 data-based model could satisfactorily forecast building electricity consumption

Business Process Improvement of Fixed Wing UAV Assembly Process: Imperia Dirgantara Case

Abstract. Imperia Dirgantara is a company engaged in providing aerial survey solutions using their own university-based research Unmanned Aerial Vehicle (UAV) technology and data processing systems. To anticipate an increasing demand of the aerial survey, the UAV has to be prepared in a short preparation time. Currently, Imperia Dirgantara is facing an issue of lengthy assembly process of the UAV which may lead to lost sales opportunity. In response, this research focuses on providing proposition improvements for the UAV assembly business process, All of data source directly from Imperia Dirgantara internal archives. This business process improvement research is initiated with thorough analysis of bottleneck process in the existing UAV assembly process. Following the bottleneck process identification, we conduct root cause analyses and propose the corresponding business process improvement propositions. Finally we assess the impact of the solution propositions, define the required resources and provide a plan to implement the solution proposition. This research resulting time reduce in processing time as much 12.66% or equal to 10 days. The suggestion of keep improving the current business process instead picking up another option is stated in this research’s report.Keywords: Business Process Improvement; Business Process Model; Bottleneck Analysis; Unmanned Aerial Vehicle; UAV Assembly Process

Unraveling the Most Influential Determinants of Residential Segregation in Jakarta: A Spatial Agent-Based Modeling and Simulation Approach

This study involves the analysis of the residential segregation patterns in Jakarta, Indonesia, one of the largest global metropolitan cities. Our objective is to determine whether similarities in religion or socioeconomic status are more dominant in shaping residential segregation patterns in Jakarta. To do so, we extended Schelling’s segregation agent-based model incorporating the random discrete utility choice approach to simulate the relocation decisions of the inhabitants. Utilizing actual census data from the 2010–2013 time period and the Jakarta GIS map, we simulated the relocation movements of the inhabitants at the subdistrict level. We set the inhabitants’ socioeconomic and religious similarities as the independent variables and the housing constraints as the moderating variable. The segregation parameters of the inhabitants (i.e., dissimilarity and Simpson indexes) and the spatial patterns of residential segregation (i.e., Moran index and segregation maps) were set as the dependent variables. Additionally, we further validated the simulation outcomes for various scenarios and contrasted them with their actual empirical values. This study concludes that religious similarity is more dominant than socioeconomic status similarity in shaping residential segregation patterns in Jakarta

The Drivers, Barriers, and Enablers of Building Information Modeling (BIM) Innovation in Developing Countries: Insights from Systematic Literature Review and Comparative Analysis

Building information modeling (BIM) has received significant attention in the last two decades from the architecture, engineering, and construction (AEC) industry. Despite the popular trend of BIM in developing countries, the adoption of this technology is still low. This paper aims to investigate the drivers, barriers, and enablers of BIM adoption in developing countries with regard to global challenges. A systematic literature review and an in-depth comparative qualitative analysis were conducted to accomplish the objective. Relevant articles from three major databases covering 20 years (2002–2022) of journal article publications were analyzed. The comparative study identified drivers, barriers, and enablers influencing BIM innovation in six developing countries from three different continents. Additionally, a critical review and analysis explored the importance of BIM’s innovation factors in developing countries. The stakeholders of AEC will benefit from insights offered by this study to prepare BIM implementation strategies effectively

Investigating agent-based inter-organizational systems and business network performance: Lessons learned from the logistics sector

Purpose: From the theoretical perspectives of both multi-agent systems and smart business networks, empirical studies analyzing agent-based inter-organizational systems (ABIOS) in a real-life business setting are rare. The purpose of this paper is to investigate the impact of ABIOS on the performance of business networks. Design/methodology/approach: This study presents a theoretical conceptual model portraying the influence of ABIOS on clients’ coordination structure and information architecture; and the impact of those structural alterations on business network performance in terms of the coordination, agility, and informational performances. To validate the model, a cross-case analysis was conducted in three logistics cases, namely, warehousing, freight forwarding, and intermodal transportation. Findings: The application of ABIOS requires adjustments to the information architecture or the coordination structure, or both. Subsequently, those structural adjustments will stimulate improvements in the coordination, agility, and informational performances. Research limitations/implications: The assessment of the clients’ performance improvement is done at the company level not at an aggregate network level. Moreover, the study only covers cases from the logistics sector. Practical implications: This study explains the structural consequences of ABIOS applications. The adoption of an inter-organizational system is a strategic decision that requires support from multi-stakeholders. While the applications of ABIOS can offer performance improvement opportunities, adjustments must be made to the existing coordination structure or the information architecture, or both. Originality/value: This study contributes to the smart business network literature and the ABIOS literature by presenting a validated conceptual model explaining the interplay among ABIOS, the coordination structure, informational structure, and business network performance, namely, the coordination, agility, and informational performances