A Systematic Literature Review: Database Optimization Techniques

In the past decade the humanitarian supply chain (HSC) has attracted the attention of researchers due to the increasing frequency of disasters. The uncertainty in time, location, and severity of disaster during predisaster phase and poor conditions of available infrastructure during postdisaster phase make HSC operations difficult to handle. In order to overcome the difficulties during these phases, we need to assure that HSC operations are designed in an efficient manner to minimize human and economic losses. In the recent times, several mathematical optimization techniques and algorithms have been developed to increase the efficiency of HSC operations. These techniques and algorithms developed for the field of HSC motivate the need of a systematic literature review. Owing to the importance of mathematical modelling techniques, this paper presents the review of the mathematical contributions made in the last decade in the field of HSC. A systematic literature review methodology is used for this paper due to its transparent procedure. There are two objectives of this study: the first one is to conduct an up-to-date survey of mathematical models developed in HSC area and the second one is to highlight the potential research areas which require attention of the researchers.

Download Full-text

A Systematic Literature Review on Particle Swarm Optimization Techniques for Medical Diseases Detection

Computational and Mathematical Methods in Medicine ◽

10.1155/2021/5990999 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Sobia Pervaiz ◽

Zia Ul-Qayyum ◽

Waqas Haider Bangyal ◽

Liang Gao ◽

Jamil Ahmad

Keyword(s):

Health Care ◽

Particle Swarm Optimization ◽

Literature Review ◽

Systematic Literature Review ◽

Particle Swarm ◽

Optimization Techniques ◽

Disease Detection ◽

Swarm Optimization ◽

Medical Disease ◽

Numerical Experimentation

Artificial Intelligence (AI) is the domain of computer science that focuses on the development of machines that operate like humans. In the field of AI, medical disease detection is an instantly growing domain of research. In the past years, numerous endeavours have been made for the improvements of medical disease detection, because the errors and problems in medical disease detection cause serious wrong medical treatment. Meta-heuristic techniques have been frequently utilized for the detection of medical diseases and promise better accuracy of perception and prediction of diseases in the domain of biomedical. Particle Swarm Optimization (PSO) is a swarm-based intelligent stochastic search technique encouraged from the intrinsic manner of bee swarm during the searching of their food source. Consequently, for the versatility of numerical experimentation, PSO has been mostly applied to address the diverse kinds of optimization problems. However, the PSO techniques are frequently adopted for the detection of diseases but there is still a gap in the comparative survey. This paper presents an insight into the diagnosis of medical diseases in health care using various PSO approaches. This study presents to deliver a systematic literature review of current PSO approaches for knowledge discovery in the field of disease detection. The systematic analysis discloses the potential research areas of PSO strategies as well as the research gaps, although, the main goal is to provide the directions for future enhancement and development in this area. This paper gives a systematic survey of this conceptual model for the advanced research, which has been explored in the specified literature to date. This review comprehends the fundamental concepts, theoretical foundations, and conventional application fields. It is predicted that our study will be beneficial for the researchers to review the PSO algorithms in-depth for disease detection. Several challenges that can be undertaken to move the field forward are discussed according to the current state of the PSO strategies in health care.

Download Full-text

Applications of MCDM methods in research on corporate sustainability

Management of Environmental Quality An International Journal ◽

10.1108/meq-12-2019-0284 ◽

2020 ◽

Vol 31 (2) ◽

pp. 385-405 ◽

Cited By ~ 18

Author(s):

Priyabrata Chowdhury ◽

Sanjoy Kumar Paul

Keyword(s):

Literature Review ◽

Systematic Literature Review ◽

Corporate Sustainability ◽

Multicriteria Decision Making ◽

Optimization Techniques ◽

Future Research ◽

Strategy Formulation ◽

Content Type ◽

Integrated Methods ◽

And Performance

PurposeCorporate sustainability (CS) is becoming a popular research topic. In recent years, researchers have conducted a significant number of studies in this area. Although a number of those studies have used a variety of multicriteria decision-making (MCDM) methods, to date there is no systematic literature review of this area of research. This paper fulfills this research gap.Design/methodology/approachThe authors use a systematic literature review and bibliometric analysis approach to analyze the applications of MCDM methods in research on CS.FindingsThe authors have observed that both single and integrated MCDM methods have been used in this domain; however, single MCDM methods are dominant. Further, this review shows that most of the integrated methods use only two MCDM methods and that there has been no comparison of results obtained from different MCDM methods. After reviewing these developments and summarizing the findings, the authors propose directions for future research, including investigating and formulating strategies for specific CS initiatives, integrating three or more MCDM methods, integrating MCDM methods with optimization techniques, analyzing results from a small and medium-sized enterprise (SME) perspective, reconsidering the tenets of existing theories via MCDM methods, and comparing the results of studies of CS in different kinds of economies, as well as the results of using different MCDM methods.Originality/valueTo the best of the authors' knowledge, this is the first study that has conducted a systematic literature review to analyze applications of MCDM methods to different aspects of corporate sustainability, including enablers of and barriers to CS, the evaluation and design of CS initiatives, system or strategy formulation, and performance evaluation, among others.

Download Full-text