Lot-Sizing and scheduling in a flexible job-shop environment considering energy efficiency

Arezoo Osati; Esmaeil Mehdizadeh; Sadoullah Ebrahimnejad

Volume 9, Issue 2 , December 2022, , Pages 129-147

https://doi.org/10.22116/jiems.2022.333764.1479

Abstract
  The purpose of this paper is to optimize the integrated problem of lot-sizing and scheduling in a flexible job-shop environment considering energy efficiency. The main contribution of the paper is simultaneously considering lot-sizing and scheduling decisions, while accounting for energy efficiency.  ...  Read More

Integrated production-inventory-routing problem incorporating greenness consideration: A mathematical model and heuristic solver

Seyed Ahmad Razavi; Adel Aazami; Mohammad Reza Rasouli; Ali Papi

Volume 9, Issue 2 , December 2022, , Pages 148-169

https://doi.org/10.22116/jiems.2022.334765.1482

Abstract
  This research focuses on the integrated production-inventory-routing planning (PIRP) problem, which persuades necessary decisions to study the supply chains (SCs). Previous research studies confirm that corporations coping with production, inventory, and routing problems, can remarkably decrease the ...  Read More

A routing- allocation model for relief logistics with demand uncertainty: A Genetic algorithm approach

Ali Bozorgi Amiri; Mostafa Akbari; Iman Dadashpour

Volume 8, Issue 2 , December 2021, , Pages 93-110

https://doi.org/10.22116/jiems.2022.138125

Abstract
  Quick response to the relief needs right after disasters through efficient emergency logistics distribution is vital to the alleviation of disaster impact in the affected areas. In this paper, by focusing on the distribution of relief commodities after disaster, the best possible allocation for the affected ...  Read More

Hybrid genetic algorithm for the economic-statistical design of variable sample size and sampling interval x-bar control chart

Mohammad Mirabi; Mohammad Taghi Fatemi Ghomi; Fariborz Jolai

Volume 8, Issue 2 , December 2021, , Pages 160-174

https://doi.org/10.22116/jiems.2022.138128

Abstract
  The design of control chart has economic consequences that pure statistical viewpoint does not consider them. The economic-statistical design of control chart, attends not only statistical properties such as average time to signal (ATS) but also economic consequences like hourly expected total cost. ...  Read More

Ant colony optimization, genetic algorithm and hybrid metaheuristics: A new solution for parallel machines scheduling with sequence-dependent set-up times

Mahdi Nakhaeinejad

Volume 7, Issue 2 , August 2020, , Pages 223-239

https://doi.org/10.22116/jiems.2020.206474.1310

Abstract
  The parallel machine scheduling problem (PMSP) is one of the most difficult classes of problem. Due to the complexity of the problem, obtaining optimal solution for the problems with large size is very time consuming and sometimes, computationally infeasible. So, heuristic algorithms that provide near-optimal ...  Read More

Simulation based optimization of multi-product supply chain under a JIT system

Arman Sajedinejad; Erfan Hassannayebi; Mohammad Saviz Asadi Lari

Volume 7, Issue 1 , June 2020, , Pages 87-106

https://doi.org/10.22116/jiems.2020.110009

Abstract
   It is scientifically challenging to determine the inventory level all through the supply chain in such a way that the desired objectives such as effectiveness and responsiveness of the supply chain system can be obtained. Simulation is a means for solving various problems which cannot be solved ...  Read More

Partial inspection problem with double sampling designs in multi-stage systems considering cost uncertainty

Taha-Hossein Hejazi; Pardis Roozkhosh

Volume 6, Issue 1 , June 2019, , Pages 1-17

https://doi.org/10.22116/jiems.2019.87659

Abstract
  The nature of input materials is changed as long as the product reaches the consumer in many types of manufacturing processes. In designing and improving multi-stage systems, the study of the steps separately may not lead to the greatest possible improvement in the whole system, therefore the study of ...  Read More

A realistic perish ability inventory management for location-inventory-routing problem based on Genetic Algorithm

Mohammad Bagher Fakhrzad; Zahra Alidoosti

Volume 5, Issue 1 , June 2018, , Pages 106-121

https://doi.org/10.22116/jiems.2018.66507

Abstract
  In this paper, it was an attempt to be present a practical perishability inventory model. The proposed model adds using spoilage of products and variable prices within a time period to a recently published location-inventory-routing model in order to make it more realistic. Aforementioned model by integration ...  Read More