Scheduling
Integration of two-stage assembly flow shop scheduling and vehicle routing using Improved Whale Optimization Algorithm

Vahid Bahmani; Mohammad Amin Adibi; Esmaeil Mehdizadeh

Articles in Press, Accepted Manuscript, Available Online from 09 July 2022

http://dx.doi.org/10.22105/jarie.2022.329251.1450

Abstract
  This paper provides an integrated model for a two-stage assembly flow shop scheduling problem and distribution through vehicle routing in a soft time window. So, a mixed-integer linear programming (MILP) model has been proposed with the objective of minimizing the total cost of distribution, holding ...  Read More

Operations Research
A new queuing-based mathematical model for hotel capacity planning: a genetic algorithm solution

Saeed Khalili; Masood Mosadegh Khah

Volume 7, Issue 3 , September 2020, , Pages 203-220

http://dx.doi.org/10.22105/jarie.2020.244708.1187

Abstract
  This study presents a new mathematical optimization model using queuing theory to determine the hotel capacity in an optimal manner. For this purpose, a Knapsack model based on the queuing theory is proposed. In this regard, after simulating a hotel's reception system with the help of queuing models ...  Read More

Engineering Computations
An Optimized Heat Sink for Thermophotovoltaic Panels

Giampietro Fabbri; Matteo Greppi

Volume 5, Issue 1 , June 2018, , Pages 1-9

http://dx.doi.org/10.22105/jarie.2018.108774.1026

Abstract
  In the present work, an innovative hybrid solar panel is proposed, which can be used to pave floors or to cover roofs. A particular heat sink is employed, which gives robustness to the panel and provides a better heat transfer effectiveness with respect to tube heat exchangers. The geometry of the heat ...  Read More

Fuzzy optimization
A New Fuzzy Hybrid Dynamic Programming for Scheduling Weighted Jobs on Single Machine

Seyedeh Maedeh Mirmohseni; Seyed Hadi Nasseri; Mohammad Hossein Khaviari

Volume 4, Issue 2 , October 2017, , Pages 97-115

http://dx.doi.org/10.22105/jarie.2017.49214

Abstract
  In this paper, dynamic programming for sequencing weighted jobs on a single machine to minimizing total tardiness is focused, to significance of fuzzy numbers field, and importance of that for decision makers who are facing on uncertain data, combination of dynamic programming and fuzzy numbers is applied. ...  Read More