The Applications of Nature-Inspired Algorithms in Logistic Domains: A Comprehensive and Systematic Review

Wang, Chen; Yongfu, Qian; Shaic, Seid

doi:10.1007/s13369-020-05129-7

Cited by 9 publications

(3 citation statements)

References 69 publications

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“…The system helps reduce the loss of applicants, who couldn't be reached by phone; track completion of the selection stages by each of the candidates; reduce unproductivity of manager's recruitment work (to raise his productiveness). Software of different CRM systems include recruitment modules designed to automate the recruitment process for personnel departments of companies and recruitment agencies (Korableva, 2018;Wang, 2021). They have various functions, which help HR managers.…”

Section: Discussion and Resultsmentioning

confidence: 99%

Digital Instruments And Country Linguacultural Definitions Of Mass Recruitment For Large Retailers

Богомолова¹

2021

ALR Journal

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Section: Discussion and Resultsmentioning

confidence: 99%

Digital Instruments And Country Linguacultural Definitions Of Mass Recruitment For Large Retailers

Богомолова¹

2021

ALR Journal

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“…It is essential to simulate designed plan process before the execution such that the effectiveness and efficiency of the process plan are ascertained. This allows the reduction of unwarranted factors surrounded in the process plan and thereby enhance the process plan [26]. For instance, the use of Computer Numerical Control machine as simulation tool for a manufacturing process involves tool path simulation, motion detection interference, machining process characteristic and machining accuracy.…”

Section: Production Line Optimizationmentioning

confidence: 99%

Process Optimization in Manufacturing Industries Using Simulation Technologies

Okuyelu,

Doskenov,

Aribike

2024

CJAST

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The industrial application and importance of simulation technologies for process optimization in manufacturing industries cannot be underestimated. Adequate monitoring of raw materials processing to finished products and their conveyance to the end users is required together with profits and cost optimization to ensure the company attained the set goals. Thus, it is imperative to adopt the use of simulation-based optimization tools. This paper succinctly discussed the importance of simulation-based optimization technologies as effective techniques in manufacturing industries. The concept of process optimization, simulation and simulation techniques as related to manufacturing were discussed. Various techniques of simulation-based optimization in manufacturing were presented. These include Monte Carlo simulation, discrete event simulation and system dynamics. Also, typical examples of manufacturing optimization techniques were stated. These include Just-in-Time, statistical process control, total quality management, six sigma, value stream mapping and computer numerical control. Various applicable areas of simulation-based optimization technologies in manufacturing were also addressed. However, resistance to change, lack of expertise, lack of data, unintended consequences, over-reliance on technology and insufficient testing are the associated problems to simulation-based optimization in manufacturing. In conclusion, relevant simulation-based optimization technologies should be adopted by various manufacturing companies to ensure profit maximization while still keeping the chain between production of good and supply to customers intact.

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“…These issues are discussed for the future directions of the research. 3 Wang et al 2021 This study presents an organized review of the literature on the natureinspired method in logistics. Logistics includes the planning, monitoring, and control of product storage between the levels of use and manufacture.…”

Section: Yang 2020mentioning

confidence: 99%

Study of real-world optimization problems using advanced Nature Inspired Algorithms (NIA) discovered from 2019 to 2022

Rani¹,

Jain²,

Garg

2023

Preprint

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The nature inspired algorithm (NIA) is a very essential research area that continuously facilitates finding the solution of optimization problems. NIA is one of the metaheuristic algorithm categorizations that have attracted researchers from last few decades. NIA contributes notably by dealing with many large-scale problems and attaining optimal outcomes. In this study, NIA discovered from 2019 to 2022 is listed with a brief description. The major objective of this paper is to find some best NIA for finding reasonably better solution of real-world complex optimization problems. Bearing this in mind, we have found eight common engineering problems and analyzed their solution using different NIA algorithms. Our comparative study with bibliographic analysis suggests that there are four algorithms which give us the best result for all mentioned eight engineering problems and gives us an optimal solution. This paper also gives the recent development in NIA and their application in different fields like health care, environment, industrial, commercial, machine learning and smart cities. This will support the new and developing researcher to give a broader view on NIA along with future investigation guidelines.

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The Applications of Nature-Inspired Algorithms in Logistic Domains: A Comprehensive and Systematic Review

Cited by 9 publications

References 69 publications

Digital Instruments And Country Linguacultural Definitions Of Mass Recruitment For Large Retailers

Digital Instruments And Country Linguacultural Definitions Of Mass Recruitment For Large Retailers

Process Optimization in Manufacturing Industries Using Simulation Technologies

Study of real-world optimization problems using advanced Nature Inspired Algorithms (NIA) discovered from 2019 to 2022

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