In recent years, multinational corporations (MNCs) have shifted their decision-making strategies from solely focusing on economic factors to adopting a sustainable perspective that considers environmental and social impacts. Consequently, the sustainable facility location problem (SFLP) has...

This study focuses on investigating a multi-objective search allocation game problem, specifically addressing the distribution of a search budget (player 1) across a searched area to detect an evading target (player 2). The game is characterized as a two-person zero-sum game, as an optimal...

Understanding how skilled workers interact with assistance systems in manufacturing and how they experience the factory environment is fundamental to modeling human interaction and optimizing the processes correctly. This paper investigates humans’ behaviors and perceived experiences while...

Reverse supply chain management is one of the most effective ways to protect the environment and conserve natural resources, while simultaneously generating significant economic benefits for manufacturing firms. The present paper examines the design of a reverse supply chain of a variety of...

Waste management is a critical sector that needs to coordinate its activities with outcomes that impact society. Multi-criteria decision-making methods for waste management have been widely considered using both, environmental and economic criteria. With the development of new social regulations...

Probabilistic dual hesitant fuzzy set (PDHFS), as a decision information preference combining membership degree (MD) and non-membership degree (NMD) and probability, is an important tool to express uncertain information powerfully. It is well known that distance measures are very useful tools in...

The rapid growth in the volume of international container transport requires that the entire transport chain become more competitive, including maritime container terminals. The aim of the article is to identify the number and location of major Baltic container terminals and to perform a...

Data envelopment analysis (DEA) is a methodology for evaluating the efficiencies of decision-making units (DMUs), with each unit having its own set of inputs and outputs. However, there are situations where the DMUs can be interdependent. The authors in previous papers examine the case of a...