COLLABORATIVE MODELS FOR TRUCKS LOGISTICS: SYSTEMS THINKING AND SIMULATION MODELING TO INFORM TRUCK SHARING ECONOMY POLICY

• Main Author: Parada Siahaan, Batara
• Format: Dissertations
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/70375
• Institution: Institut Teknologi Bandung

Truck logistics is one of the essential modes of transportation in the economy. Thus, understanding the history, evolution, technology, legal, and logistical phenomena of the current trucking phenomenon can have substantial managerial, corporate, and academic effects on the economy. Regarding the economic importance of truck logistics in Indonesia, it is projected that the economic turnover of trucks is 32 billion US dollars. However, the problematization of truck logistics manifests in various forms tightly linked to laws, infrastructure, and other directly or indirectly related issues. This position is complicated by legal, regulatory, technological, and operational complications. In order to comprehend the issues with truck logistics in Indonesia, this dissertation examines the present truck logistics system rules in depth. Observations on the ground were conducted by visiting several trucking companies and speaking with business owners, trucking associations, and other parties deemed knowledgeable about the state of truck logistics in Indonesia to comprehend the current system. By specifying various significant variables, the scope of this study is clarified, allowing the proposed method to be utilized to gather data, analyze it, and develop models. The postulation of systems thinking leads to the view that all phenomena in natural mechanisms are caused by sub-systemic interconnection. Some parts work and are related to more significant sub-systems. The philosophical position of this research is very close to the Systems Thinking approach because the postulations of collaboration and phenomena that occur in truck logistics cannot be seen only from the trucking company's perspective. Some sub-systems are directly and indirectly related, so a choice of analysis methods arises, such as actor-agent analysis, system dynamics modeling, and sub-system simulation through the theory of deviation. This research aims to comprehend the current truck logistics issue, particularly with regard to trucking enterprises in Indonesia. In addition, policy recommendations are made to solve the identified problems. This study selected the paradigm of the "collaborative economy" as one of the principles commonly applied to modes of transportation, particularly truck logistics. Essential rules and aspects, such as the usage of trucks, operational analysis, information systems, and the responsibilities of actors, must be better understood, mainly when designing and implementing 3 policies for a collaborative economy. This study proposes a modeling approach with the Statistical Analytic Hierarchy Process (AHP), System Dynamics Modeling, Agent Analysis, and Actors, and Monte Carlo Deviation Simulation to analyze truck logistics system policies from macro and micro factors; such as variable analysis, actor analysis, and possible optimization scenarios in the design of a holistic approach. This research focuses on current system difficulties, actor perspectives, truck logistics components, and associated laws. This study investigates in depth the connection between the analyzed components, the state of players, and the cooperation ecosystem policy model, which aims to build a collaborative economy ("Sharing Economy"). In addition, this study aims to provide simulated evaluation scenarios adopting the collaborative economy paradigm by analyzing the suggestions with the most optimal outcomes. This dissertation's key findings and contributions are as follows: Firstly, at three integrative levels, the output of the analytical hierarchy process in service science theory lays the foundation for a service blueprint from the perspective of customers and collaborators. Secondly, the results of the actor-agent analysis provide an understanding of the participation of significant and relevant players as a critical foundation for analyzing how cooperation occurs. Furthermore, the results of the actor-agent analysis provide an understanding of the participation of significant and relevant players. Thirdly, system dynamics modeling thoroughly analyzes the current problem conditions, and the resulting variables serve as the basis for simulations of deviation. In conclusion, the Monte Carlo simulation of deviation revealed how optimization might be performed in the examined circumstances. In conclusion, this study able to propose direction of discussions, reflections, and recommendations for managerial actions based on an analysis of the results of the methods used, including preliminary studies, literature reviews, analysis of the theories used, the AHP approach, the agent and actor analysis approach, system dynamics modeling, and the Monte Carlo deviation simulation approach. Based on simulation evidence, it is believed that the proposed policy will improve the situation by integrating processes and operations and utilizing information technology system blueprints and collaboration blueprints amongst actors.