An overview of weighted goal programming: a multi-objective transportation problem with some fresh viewpoints
Goal programming (GP) is one of the widely used and effective method of solving real-world
multi-objective decision-making problems. The term “multi-objective transportation problem” …
multi-objective decision-making problems. The term “multi-objective transportation problem” …
A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms
Municipal solid waste (MSW) management is known as one of the most crucial activities in
municipalities that requires large amounts of fixed/variable and investment costs. The …
municipalities that requires large amounts of fixed/variable and investment costs. The …
Plithogenic fuzzy graph: A study of fundamental properties and potential applications
A fuzzy graph is a symmetric binary fuzzy relation on a fuzzy subset. It has been successfully
involved in a number of applications in data science, social networks, neural systems, and …
involved in a number of applications in data science, social networks, neural systems, and …
Modeling for human resources management by data mining, analytics and artificial intelligence in the logistics departments
M Graczyk-Kucharska, M Szafrański, S Gütmen… - Smart and sustainable …, 2020 - Springer
As a result of the environment changes, all Logistic Departments need to cover gaps
between their needs and possibilities in regard to resources potential available in market and …
between their needs and possibilities in regard to resources potential available in market and …
Modelling IT specialists competency in the era of industry 4.0
M Szafrański, S Gütmen, M Graczyk-Kucharska… - Innovations in …, 2022 - Springer
The topic of the future and development of human capital in the context of issues related to
the digitization of the economy, including Industry 4.0, matching IT competencies to the needs …
the digitization of the economy, including Industry 4.0, matching IT competencies to the needs …
Human paradigm and reliability for aggregate production planning under uncertainty
Aggregate production planning (APP) within a supply chain is known as one of the main
activities in general planning of large and leading companies throughout the world. In the …
activities in general planning of large and leading companies throughout the world. In the …
Correction to: A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms
EB Tirkolaee, A Goli, S Gütmen… - Annals of …, 2024 - search.proquest.com
… Annals of Operations Research (2024) 332:1215 https://doi.org/10.1007/s10479-022-04557-y
CORRECT ION Correction to: A novel model for sustainable waste collection arc routing …
CORRECT ION Correction to: A novel model for sustainable waste collection arc routing …
Modeling problems in a regional labor market-by mars and artificial intelligence-poland case
S Gütmen - 2019 - open.metu.edu.tr
… submitted by SELMA GÜTMEN in partial fulfillment of the requirements for the degree of
Master of Science in Actuarial Sciences Department, Middle East Technical University by, …
Master of Science in Actuarial Sciences Department, Middle East Technical University by, …
Solving multi-choice multi-objective transportation problem: a utility function approach
G Maity, SK Roy - Journal of uncertainty Analysis and Applications, 2014 - Springer
This paper explores the study of multi-choice multi-objective transportation problem (MCMTP)
under the environment of utility function approach. MCMTP is converted to multi-objective …
under the environment of utility function approach. MCMTP is converted to multi-objective …
Optimal queueing-based vehicle charging scheduling and assignment for dynamic electric ridepooling service
Electrifying electric vehicle fleet for ride-hailing service needs to efficiently manage the daily
charging operation to minimize charging waiting times and cost under stochastic customer …
charging operation to minimize charging waiting times and cost under stochastic customer …