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Supply chain network design with financial considerations: A comprehensive review
Supply chain network design (SCND) is a large and growing area of research. Although
SCND has a remarkable effect on companies' main financial accounts, our examination …
SCND has a remarkable effect on companies' main financial accounts, our examination …
Location–allocation problem for green efficient two-stage vehicle-based logistics system: A type-2 neutrosophic multi-objective modeling approach
In recent decades, global climate change has become one of the most critical environmental
issues, leading to increased environmental and social concerns about the sustainability of …
issues, leading to increased environmental and social concerns about the sustainability of …
An intuitionistic fuzzy multi-objective goal programming approach to portfolio selection
Portfolio selection can be regarded as a type of multi-objective decision problem. However,
traditional solution methods rarely discussed the decision maker's nonsatisfaction and …
traditional solution methods rarely discussed the decision maker's nonsatisfaction and …
A review of goal programming
D Jones, M Tamiz - Multiple criteria decision analysis: State of the art …, 2016 - Springer
The field of goal programming is continuing to develop at a rapid pace. New variants of the
goal programming model are being introduced into the literature and existing variants …
goal programming model are being introduced into the literature and existing variants …
Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review
Goal programming (GP) is an important class of multi-criteria decision models widely used to
analyze and solve applied problems involving conflicting objectives. Originally introduced in …
analyze and solve applied problems involving conflicting objectives. Originally introduced in …
Multi-objective two-stage grey transportation problem using utility function with goals
Abstract Multi-Objective Goal Programming is applied to solve problems in many application
areas of real-life decision making problems. We formulate the mathematical model of Two …
areas of real-life decision making problems. We formulate the mathematical model of Two …
Conic scalarization approach to solve multi-choice multi-objective transportation problem with interval goal
This paper explores the study of multi-choice multi-objective transportation problem
(MCMTP) under the light of conic scalarizing function. MCMTP is a multi-objective …
(MCMTP) under the light of conic scalarizing function. MCMTP is a multi-objective …
Applying the goal programming in the management of the 7P marketing mix model at universities-case study
R Ryńca, Y Ziaeian - PloS one, 2021 - journals.plos.org
The decision-making relating to effective marketing is less supported by operational
methodologies and optimizing methods in high education sectors than in the companies …
methodologies and optimizing methods in high education sectors than in the companies …
[HTML][HTML] Dynamic dairy facility location and supply chain planning under traffic congestion and demand uncertainty: A case study of Tehran
In this paper, dynamic dairy facility location and supply chain planning are studied through
minimizing the costs of facility location, traffic congestion and transportation of …
minimizing the costs of facility location, traffic congestion and transportation of …
[KNIHA][B] Linear and multiobjective programming with fuzzy stochastic extensions
M Sakawa, H Yano, I Nishizaki, I Nishizaki - 2013 - Springer
Since GB Dantzig invented the celebrated simplex method around 1947, linear
programming, an optimization method for maximizing or minimizing a linear objective …
programming, an optimization method for maximizing or minimizing a linear objective …