Designing and solving a bi-level model for rice supply chain using the evolutionary algorithms

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

doi:10.1016/j.compag.2019.04.041

Cited by 102 publications

(41 citation statements)

References 49 publications

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“…Therefore, many papers have been published in competitive situations in a BLSC. A bi-level rice supply chain was given by Cheraghalipour et al [29] for minimizing the agricultural costs. The model was solved using two meta-heuristics and hybrid algorithms and a numerical example inspired by a real case was employed to show the model's applicability.…”

Section: Literature Reviewmentioning

confidence: 99%

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Impact of Adopting Quick Response and Agility on Supply Chain Competition with Strategic Customer Behavior

2020

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A growing trend towards computerization and competition in supply chains results in uncertainty and quick variability that make the decisions difficult for both levels of retailers and manufacturers. In this paper, two Bi-Level Stackelberg models are developed under nonand agile conditions in the presence of strategic customers. Our main novelty approach in this paper is to consider both levels competing with each other in a sequential game to determine the optimal production and order quantities and prices with and without agile abilities. In addition, both proposed models are simplified single-level using the Karush-Kuhn-Tucker (KKT) approach. Then, they are remodeled by a Robust Optimization technique due to existing uncertain parameters. To have a better assessment of the models' efficiency and applicability, they have been implemented in a real case and finally, the results are compared and analyzed.

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Section: Literature Reviewmentioning

confidence: 99%

“…Constraints (27 and 28) ensure that the retail price cannot exceed a certain limit since customers do not be disposed to incur extra expenses. The ordering capacity and available budget for the follower are limited by constraints (29)(30)(31)(32). And finally, the constraint (33) shows the positive variables.…”

Section: mentioning

confidence: 99%

Impact of Adopting Quick Response and Agility on Supply Chain Competition with Strategic Customer Behavior

2020

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“…The reason is that each problem dimension is different from others. The settings of RPD is defined by equation (30) ( [104] , [105] ).

…”

Section: Computational Resultsmentioning

confidence: 99%

Utilizing IoT to design a relief supply chain network for the SARS-COV-2 pandemic

Zahedi

Salehi-Amiri

Smith

et al. 2021

Applied Soft Computing

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The current universally challenging SARS-COV-2 pandemic has transcended all the social, logical, economic, and mortal boundaries regarding global operations. Although myriad global societies tried to address this issue, most of the employed efforts seem superficial and failed to deal with the problem, especially in the healthcare sector. On the other hand, the Internet of Things (IoT) has enabled healthcare system for both better understanding of the patient’s condition and appropriate monitoring in a remote fashion. However, there has always been a gap for utilizing this approach on the healthcare system especially in agitated condition of the pandemics. Therefore, in this study, we develop two innovative approaches to design a relief supply chain network is by using IoT to address multiple suspected cases during a pandemic like the SARS-COV-2 outbreak. The first approach (prioritizing approach) minimizes the maximum ambulances response time, while the second approach (allocating approach) minimizes the total critical response time. Each approach is validated and investigated utilizing several test problems and a real case in Iran as well. A set of efficient meta-heuristics and hybrid ones is developed to optimize the proposed models. The proposed approaches have shown their versatility in various harsh SARS-COV-2 pandemic situations being dealt with by managers. Finally, we compare the two proposed approaches in terms of response time and route optimization using a real case study in Iran. Implementing the proposed IoT-based methodology in three consecutive weeks, the results showed 35.54% decrease in the number of confirmed cases.

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“…The objective is to maximize profit. Cheraghalipour et al (2019) considered the rice supply chain and provided a bilevel model for rice supply chain management. The objective function is to minimize total cost.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing and planning a rice supply chain: a case study for Iran farmlands

Jifroudi¹,

Teimoury²,

Barzinpour³

2020

10.5267/j.dsl

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Agricultural food supply chains of different grains such as wheat, rice, and corn include several processes from cropping and harvesting to distribution. Integrating these processes to reduce costs, in addition to providing sufficient supply, are of the major goals of agri-food supply chain management. Rice is an important grain that constitutes an important part of people's diets throughout the world. FAO predicts that global rice utilization would increase over the next few years. Considering rice's importance, in this paper, a mixed-integer linear mathematical model for designing and planning of rice supply chain is proposed which aims to maximize total profit by integrating different decisions of the rice supply chain including supplier selection, cropping, fertilizing, pest control, harvesting, milling, transportation, and distribution. This model considers different rice varieties and takes into account irrigation water requirements of crops and available water resources. A case study of Iran farmlands in Gilan province is employed to show the applicability and advantages of the proposed model for the rice supply chain. Results indicate that increasing conversion ratio of paddy to rice and reducing labor costs would have a significant impact on the total profit of the supply chain. .

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Designing and solving a bi-level model for rice supply chain using the evolutionary algorithms

Cited by 102 publications

References 49 publications

Impact of Adopting Quick Response and Agility on Supply Chain Competition with Strategic Customer Behavior

Impact of Adopting Quick Response and Agility on Supply Chain Competition with Strategic Customer Behavior

Utilizing IoT to design a relief supply chain network for the SARS-COV-2 pandemic

Designing and planning a rice supply chain: a case study for Iran farmlands

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