A bi-objective optimization for citrus closed-loop supply chain using Pareto-based algorithms

Cheraghalipour, Armin; Paydar, Mohammad Mahdi; Hajiaghaei–Keshteli, Mostafa

doi:10.1016/j.asoc.2018.04.022

Cited by 132 publications

(60 citation statements)

References 80 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their case study was Copiers industry. Cheraghalipour et al [5] proposed a citrus CLSC network. They formulated the problem as a Mixed Integer Programming (MIP) model and solved it by using metaheuristics algorithms.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Constraint (3) shows that production from scrap is only a part of the total production in each production factory. Constraints (4)(5) show that production factory inputs, which are raw materials and scrap, are converted into products after the production process. In mathematical equations, we used conversion coefficients to show the production process.…”

Section: Problem Formulationmentioning

confidence: 99%

“…Reverse Logistics (RL) is a noticeable topic in developed countries. RL is concerned with returned product flow; while the Closed-Loop Supply Chain (CLSC) considers forward and backward flows [5]. Utilizing CLSC can be a way to achieve sustainable development goals in the industrial area.…”

Section: Introductionmentioning

confidence: 99%

“…Utilizing CLSC can be a way to achieve sustainable development goals in the industrial area. Many studies on the CLSC area have been done in various cases such as citrus [5], faucet [6], gold [7], tire [8], and oil [9] industries.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Closed-loop Supply Chain Network Design Problem in Copper Industry

2020

IJE

View full text Add to dashboard Cite

Undoubtedly, metals are the basis of the sustainable development of all human societies. In the last century, the role of copper, as the third most widely used metal, after steel and aluminum, has been crucial. Copper is a recyclable metal. It has many applications such as industrial electricity, plumping, wiring, electronic equipment, transportation, and infrastructure. Today, with the growth of the industry in societies, the demand for copper has increased. This motivated us to study its supply chain network design firstly. To the best of our knowledge, there is no research reported about copper supply chain network design. This paper aims to maximize the profit of the copper closed-loop supply chain. We formulate this network design problem as a Mixed Integer Programming model. The model is considered as single-objective and multi-product. The exact solution of the model is found by using GAMS software. Sensitivity analysis results provide useful results that managers can use them in decisions.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Closed-loop Supply Chain Network Design Problem in Copper Industry

2020

IJE

View full text Add to dashboard Cite

show abstract

“…The plants convert the raw material to the final products while distributing them to the customers is performed by the distribution centres. A supply chain is called closed‐loop supply chain (see Cheraghalipour, Paydar, & Hajiaghaei‐Keshteli, 2018; Ma & Li, 2017; Özceylan & Paksoy, 2013; Wanke, Azad, Barros, & Hadi‐Vencheh, 2016) when there is a backward flow of products between customers (last stage) and the previous stages of the supply chain, otherwise it is called forward supply chain (see Hadi‐Vencheh, Wanke, Jamshidi, & Chen, 2018; Sanei, Mahmoodirad, Niroomand, Jamalian, & Gelareh, 2017). In order to design a supply chain network, two classical optimization problems of location and allocation problems are combined to form the supply chain network design problem.…”

Section: Introductionmentioning

confidence: 99%

Uncertain location–allocation decisions for a bi‐objective two‐stage supply chain network design problem with environmental impacts

Mahmoodirad

Niroomand²

2020

Expert Systems

View full text Add to dashboard Cite

In the cases that the historical data of an uncertain event is not available, belief degree-based uncertainty theory is a useful tool to reflect such uncertainty. This study focuses on uncertain bi-objective supply chain network design problem with cost and environmental impacts under uncertainty. As such network may be designed for the first time in a geographical region, this problem is modelled by the concepts of belief degree-based uncertainty theory. This article is almost the first study on belief degree-based uncertain supply chain network design problem with environmental impacts. Two approaches such as expected value model and chanceconstrained model are applied to convert the proposed uncertain problem to its crisp form. The obtained crisp forms are solved by some multi-objective optimization approaches of the literature such as TH, Niroomand, MMNV. A deep computational study with several test problems are performed to study the performance of the crisp models and the solution approaches. According to the results, the obtained crisp formulations are highly sensitive to the changes in the value of the cost parameters. On the other hand, Niroomand and MMNV solution approaches perform better than other solution approaches from the solution quality point of view.

show abstract

The Agri‐Food Supply Chain and Logistics Problems Optimization

2024

Optimization in the Agri‐Food Supply Chain

View full text Add to dashboard Cite

A bi-objective optimization for citrus closed-loop supply chain using Pareto-based algorithms

Cited by 132 publications

References 80 publications

A Closed-loop Supply Chain Network Design Problem in Copper Industry

A Closed-loop Supply Chain Network Design Problem in Copper Industry

Uncertain location–allocation decisions for a bi‐objective two‐stage supply chain network design problem with environmental impacts

The Agri‐Food Supply Chain and Logistics Problems Optimization

Contact Info

Product

Resources

About