APPLICATION OF FUZZY TOPSIS MODEL FOR CONTAINER PORT SELECTION CONSIDERING ENVIRONMENTAL FACTORS

Container ships are the type of ships that produce the most emissions in maritime transport. In container transportation not only in navigation but also at container ports, a lot of emissions are formed. Ports are generally close by and highly interacted with the inner parts of the city, the impacts of the gas emissions are quite high on people. The study investigated port selection criteria, in terms of cost, efficiency and especially in terms of environmental impacts in order to create awareness. Container port selection problem was solved using fuzzy TOPSIS (The Technique for Order Preference by Similarity to Ideal Situation) method considering the perspective of carriers. In the study, the container port selection was carried out among the four largest container ports in Turkey.

Conformance Checking of Dwelling Time Using a Token-based Method

Background: Standard operating procedure (SOP) is a series of business activities to achieve organisational goals, with each activity carried to be recorded and stored in the information system together with its location (e.g., SCM, ERP, LMS, CRM). The activity is known as event data and is stored in a database known as an event log.Objective: Based on the event log, we can calculate the fitness to determine whether the business process SOP is following the actual business process.Methods: This study obtains the event log from a terminal operating system (TOS), which records the dwelling time at the container port. The conformance checking using token-based replay method calculates fitness by comparing the event log with the process model.Results: The findings using the Alpha algorithm resulted in the most traversed traces (a, b, n, o, p). The fitness calculation returns 1.0 were produced, missing, and remaining tokens are replied to each of the other traces.Conclusion: Thus, if the process mining produces a fitness of more than 0.80, this shows that the process model is following the actual business process. Keywords: Conformance Checking, Dwelling time, Event log, Fitness, Process Discovery, Process Mining

Scheduling Tugboats in a Seaport

In a seaport, vessels need the assistance of tugboats when mooring and unmooring. Tugboats assist a vessel by pushing or towing the vessel’s tug points, and the vessel can moor (or unmoor) successfully only if each of the tug points is operated with sufficient horsepower. For a busy port where vessels frequently require the service of tugboats, effectively scheduling tugboats for serving incoming and outgoing vessels is a key to successful execution of the vessels’ berth plans. In this paper, we study a tugboat scheduling problem in a busy port, where incoming and outgoing vessels frequently require the assistance of tugboats, but the number of available tugboats is limited. We make use of a network representation of the problem and develop an integer programming formulation, which takes into account the berth plans of vessels, the tug points of vessels for different move types, and the horsepower requirements of the tug points, to minimize the weighted sum of the berthing and departure tardiness of vessels, the operating cost of tugboats, and the number of vessels that cannot be served successfully. We analyze the computational complexity of the problem and develop a novel iterative solution method, which combines Lagrangian relaxation and Benders decomposition, for generating near-optimal solutions. Computational performance of the proposed solution method is evaluated on problem instances generated from the operational data of a container port in Shanghai.

A Study on Supply Chain Management and Characteristics of Container Port Operation Efficiency in Vietnam by Emerging Measure Tools

Seaport services are an important and decisive focal point in improving the logistics process's efficiency. Several prerequisites such as productivity and customer satisfaction are considered to be mandatory measures of port performance. Therefore, the determination of the characteristics and the evaluation of the effects of those important factors on the efficient operation of the port has always attracted much attention from scholars. This work aims to identify and evaluate the factors of port characteristics affecting container port operation efficiency. As a result, the port operation is more efficient. The competitiveness is enhanced in the context of fierce competition in seaport business in general and container ports and container terminals in particular. With qualitative methods combined with quantitative, using a 5-point width scale, analysis according to the linear structure model (SEM) with 530 samples. The research results show that 6 factors belong to the characteristics of container ports: infrastructure, location, inland connectivity, dynamism, logistics services, attractiveness impact the performance of container port operation. As meaningful, the study can bring benefits to port and container terminal businesses to build the right policies and decisions in competitiveness enhancement and help policymakers and port planning have an overview when implementing the plan.