Modeling the leader–follower supply chain network under uncertainty and solving by the HGALO algorithm

Ghahremani-Nahr, Javid; Mahmoodi, Anwar; Ghaderi, Abdolsalam

doi:10.1007/s00500-022-07364-6

Cited by 4 publications

(2 citation statements)

References 43 publications

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“…In this problem, there is a combination of facility location, vehicle routing, and allocation problems. It has been shown in many articles that location problems are among NP-hard problems (Ghahremani Nahr et al, 2022). Therefore, the minimum level of difficulty of the mathematical model presented in this article is equal to the level of difficulty of the location problems.…”

Section: Setsmentioning

confidence: 95%

Providing a multi-objective sustainable distribution network of agricultural items considering uncertainty and time window

Eshlaghy

Daneshvar

Chobar

2023

Preprint

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In this article, a sustainable network of distribution of agricultural items with suppliers, distribution centers, and retailers is considered. The main purpose of presenting the mathematical model in this article is to determine the optimal number and location of suppliers, assigning suppliers to distribution centers and optimal routing for the distribution of agricultural items to retailers in a predefined time window. Also, determining the optimal amount of inventory and the reorder point in retailers and distribution centers is another problem decision. To model the problem, some parameters of the model were considered non-deterministic and were controlled by the probabilistic fuzzy method. The results of solving numerical examples in different sizes showed that with the increase of the total costs of the distribution network of agricultural items, the amount of greenhouse gas emissions decreases, and the employment rate increases. Also, with the increase of the uncertainty rate, due to the increase of the real demand and the change in the optimal amount of production, distribution, storage and reorder point, the values of all the objective functions also increase. It was also observed by solving different numerical examples with NSGA II and MOGWO algorithms, these algorithms have been able to solve the problem in a much shorter period than the epsilon constraint method, and comparison indicators such as NPF, MSI, SM, and computing time show These algorithms have a high efficiency in solving numerical examples of the problem of the distribution network of agricultural items.

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Section: Setsmentioning

confidence: 95%

Providing a multi-objective sustainable distribution network of agricultural items considering uncertainty and time window

Eshlaghy

Daneshvar

Chobar

2023

Preprint

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“…However, the effective and efficient management depends on making right or wrong decisions and the proper or improper analysis of data (Marseguerra et al, 2004). The logic that states which side is indeed right and which one wrong, can be said to have given form to the underlying foundations of a major part of an organizational management in recent decades (Ghahremani et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Approach to Implementing Health and Environmental Safety System in Construction Projects Using Fuzzy Logic

Jafari

Ehsanifar

2022

IJIE

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The present study's objective is the implementation of the general Health and Safety Executive(HSE) Plan in civil projects; at first, it is required to formulate the Work Breakdown Structure(WBS) in the relevant project with the aim of coming to a proper time plan. In this study, the scope of the implementation of this system includes two items in which the probability and risks of timing projects can come to light.The two substantial items in timing projects are activity and time itself which, in some projects, given the un-clarity of the scope of these two items, one is required to take into consideration the probable and approximate value of such scope with the analysis of the fuzzy expert method. And, one of the methods used for the analysis of the scope of timing probabilities is the use of the practical implications of fuzzy logic in engineering sciences; thus, in the essay at hand, the basic information required for risk assessment, fuzzy logic, the theory of fuzzy numbers, and the method used for analyzing, disintegrating, and composing them, with the purpose of applying them in projects' risk assessment, is presented.Fuzzy logic can be introduced as a powerful and flexible tool for analyzing the scope of risk of projects which is enabled to provide us with the mathematical formulation of the unclear or unspecific parameters and, eventually, represent the analysis and evaluation of data in a numerical format.

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Global supply chain flow planning for Chinese manufacturing under the BRI: An SFG-DRO method

Li,

Liu

2024

Computers & Industrial Engineering

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Modeling the leader–follower supply chain network under uncertainty and solving by the HGALO algorithm

Cited by 4 publications

References 43 publications

Providing a multi-objective sustainable distribution network of agricultural items considering uncertainty and time window

Providing a multi-objective sustainable distribution network of agricultural items considering uncertainty and time window

Approach to Implementing Health and Environmental Safety System in Construction Projects Using Fuzzy Logic

Global supply chain flow planning for Chinese manufacturing under the BRI: An SFG-DRO method

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