Optimizing the dam site selection problem considering sustainability indicators and uncertainty: An integrated decision-making approach

M Ekhtiari, M Zandieh, EB Tirkolaee - Journal of Cleaner Production, 2023 - Elsevier
Abstract Changes of climate, population growth, extended droughts, water scarcity, and
sustainability considerations are amongst the concerns that stress more than before the …

A hybrid fuzzy-stochastic multi-criteria ABC inventory classification using possibilistic chance-constrained programming

SH Razavi Hajiagha, M Daneshvar, J Antucheviciene - Soft Computing, 2021 - Springer
Inventory classification is a fundamental issue in the development of inventory policy that
assigns each inventory item to several classes with different levels of importance. This …

A cuckoo search algorithm for scheduling multiskilled workforce

H Nie, B Liu, P **e, Z Liu, H Yang - Journal of networks, 2014 - search.proquest.com
Based on the situation of the construction and software industry, this paper presents a multi-
skilled human resource scheduling model which considers the skill and the salary of the …

[PDF][PDF] Application of linear programming model for production planning in an engineering industry-a case study

DN Jyothi, KSP Rao, M Sivasundari - International Journal of …, 2019 - academia.edu
In the era of globalization, integrated planning for production, workforce and capacity are the
key factors for attaining success in any industry. This paper develops a mathematical model …

A multi-objective bi-level stochastic programming for water sustainable supply and allocation problem

M Ekhtiari, M Zandieh - Journal of Industrial and Systems Engineering, 2022 - jise.ir
In recent years, the existence of some challenges in the water industry has led organizations
to design and implement various solutions. This paper seeks to propose a methodology to …

Bi-objective mean–variance method based on Chebyshev inequality bounds for multi-objective stochastic problems

HA Mahdiraji, SHR Hajiagha, SS Hashemi… - RAIRO-Operations …, 2018 - rairo-ro.org
Multi-objective programming became more and more popular in real world decision making
problems in recent decades. There is an underlying and fundamental uncertainty in almost …

Multiobjective stochastic programming for mixed integer vendor selection problem using artificial bee colony algorithm

M Ekhtiari, S Poursafary - International Scholarly Research …, 2013 - Wiley Online Library
It has been always critical and inevitable to select and assess the appropriate and efficient
vendors for the companies such that all the aspects and factors leading to the importance of …

[PDF][PDF] Optimization model to design the crew training plan in an airline

P Lechuga-Vázquez… - International Joint …, 2022 - portalabepro.educacao.ws
Populations, flows and manpower hours are considered in the manpower planning problem.
The objective is to project the structure of the categories with actual conditions that satisfy …

A new model for probabilistic multi-period multi-objective project selection problem

K Khalili-Damghani, M Poortarigh… - … on Production Research …, 2017 - shura.shu.ac.uk
The project selection problem is considered as one of the most imperative decisions for
investor organizations. Due to non-deterministic nature of some criteria in the real world …

Modeling M Warehouse N Manpower-Team Allocation Problem Using Dynamic Programming Approach

M Goswami - International Journal of Strategic Decision Sciences …, 2019 - igi-global.com
In this research, a dynamic programming-based approach is deployed to model and solve
the manpower allocation problem for warehouses. The authors specifically evolve the …