This paper proposes a bivariate long term fuzzy inference system for time series forecasting task in the field of freight market. Fuzzy time series methods are applied by many scholars and it is broadly accepted pattern recognition and forecasting tool. Previous studies mainly establish algorithms for high frequency time series data such as daily and monthly intervals. The proposed model perfor…
The purpose of this article is to evaluate the service requirements of dedicated container terminals (DCTs). In this article, the service attributes (SAs) of DCTs were first discussed. A fuzzy analytic hierarchy process model was then constructed to measure the users’ perceived importance and dissatisfaction for each of the SAs. Based on these two measurements, a revised importance-performanc…
A robust adaptive control approach is proposed for underactuated surface ship linear path-tracking control system based on the backstepping control method and Lyapunov stability theory. By employing T-S fuzzy system to approximate nonlinear uncertainties of the control system, the proposed scheme is developed by combining “dynamic surface control” (DSC) and “minimal learning parameter” …
The purpose of this paper is to make out a complete solution to logistic outsourcing problem in a medium-scale organization by using consistent fuzzy preference relation (CFPR) and vlsekriterijumska optimizacija i kompromisno resenje (VIKOR) method.
The purpose of this paper is to provide an insight into the use of an integrated approach of fuzzy analytical hierarchy process (fuzzy AHP) and TOPSIS in evaluating the performance of global third party logistics service providers for effective supply chain management.
As environmental concerns over managing seaports are gaining its importance, evaluating the greenness of the port accordingly draws a serious academic and research attention. However, the lack of the research aptly dealing with this particular problem attributes to the complexity of the problems involving various quantitative and qualitative factors, combined with the appropriateness of an eval…
The purpose of this paper is to construct a realistic best practice benchmark and develop a methodology for comparison of individual suppliers of marine bunker fuel. As is well-known in this trade, unfair business behaviors in the bunker fuel market are not uncommon, resulting in financial losses for the buyers
The criteria selection of green suppliers is an interesting and practical research topic. With the development and consciousness of environmental management, this issue has received a significant consideration from academics, researchers and businessmen. The purpose of this paper is to study what factors are considered to be the most important when choosing partners/suppliers in a green supply …
The purpose of this paper is to propose a structured model for the selection of a third-party reverse logistics provider (3PRLP) under fuzzy environment for the battery industry, which establishes the relative weights for attributes and sub-attributes.
The purpose of this paper is to develop a method to select the best alternative in a multi-criteria decision making (MCDM) environment when the decision is taken by a group of members in an uncertain environment.
An organization’s supply chain is the upstream fraction of the value chain activities, aiming to ensure that the right materials, services, and technologies are purchased from the right sources, at the right time, and in the right quality. It is essential that a company is able to utilize its supply chain with the support of a good monitoring scheme. This paper considers a framework of supp…
This paper aims to propose a new approach called “analytical hierarchy process weighted fuzzy linear programming model (AHP-FLP)” for supplier selection.
Hub location selection problems have become one of the most popular and important issues not only in the truck transportation and the air transportation, but also in the marine transportation. The main focus of this paper is on container transshipment hub locations in southeastern Asia. Transshipment is the fastest growing segment of the containerport market, resulting in significant scope to d…
The purpose of this study is to develop a fuzzy expert system to design robust forecast of return quantity in order to handle uncertainties from the return process in reverse logistic network.