Fuzzy multi-objective programming: A systematic literature review

N Karimi, MR Feylizadeh, K Govindan… - Expert systems with …, 2022 - Elsevier
Multi-objective programming is commonly used in the literature when conflicted objectives
arise in solving optimization problems. Over the past decades, classical optimization …

[HTML][HTML] Multi-objective optimization modelling of sustainable green supply chain in inventory and production management

AAH Ahmadini, UM Modibbo, AA Shaikh, I Ali - Alexandria Engineering …, 2021 - Elsevier
The ever increasing pressure to conserve the environment from global warming cannot be
overemphasized. Emission from the inventory and production process contributes …

Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment

S Gupta, A Haq, I Ali, B Sarkar - Complex & Intelligent Systems, 2021 - Springer
Determining the methods for fulfilling the continuously increasing customer expectations and
maintaining competitiveness in the market while limiting controllable expenses is …

A multi-objective transportation problem with cost dependent credit period policy under Gaussian fuzzy environment

RK Bera, SK Mondal - Operational Research, 2022 - Springer
In the recent competitive market of transportation business, it is becoming increasingly
difficult to improve the facilities for retailer services. Recently, several kinds of policies are …

An integrated multi-objective multi-product inventory managed production planning problem under uncertain environment

UM Modibbo, S Gupta, A Ahmed, I Ali - Annals of Operations Research, 2024 - Springer
Integrating inventory with production–distribution operations has critical importance realized
by several companies' top management a long time before; however, challenging. The …

Neutrosophic goal programming technique with bio inspired algorithms for crop land allocation problem

S Angammal, GH Grace - Scientific Reports, 2024 - nature.com
In agriculture, crop planning and land distribution have been important research subjects.
The distribution of land involves several multi-functional tasks, such as maximizing output …

A fuzzy goal programming approach for solving multi-objective supply chain network problems with pareto-distributed random variables

V Charles, S Gupta, I Ali - International Journal of Uncertainty …, 2019 - World Scientific
Uncertainty is unavoidable and addressing the same is inevitable. That everything is
available at our doorstep is due to a well-managed modern global supply chain, which takes …

A bi-objective integrated transportation and inventory management under a supply chain network considering multiple distribution networks

S Gupta, L Vijaygargy, B Sarkar - RAIRO-Operations Research, 2022 - rairo-ro.org
In order to respond to the customer's needs effectively and efficiently, logistics is
characterized as a part of the supply chain that executes and handles forward and reverse …

An efficient algorithm for two-stage capacitated time minimization transportation problem with restricted flow

S Kaur, E Jain, A Sharma, K Dahiya - RAIRO-Operations Research, 2024 - rairo-ro.org
This paper discusses a two-stage capacitated time minimization transportation problem with
the restricted flow (TSCTMTP-F) in which the transportation takes place in two stages and …

Robust multi-objective hybrid flow shop scheduling

B Zanjani, M Amiri, P Hanafizadeh… - Journal of applied …, 2021 - journal-aprie.com
Scheduling is an important decision-making process that aims to allocate limited resources
to the jobs in a production process. Among scheduling problems, Hybrid Flow Shop (HFS) …