Biofuel logistics network scheme design with combined data envelopment analysis approach

Hong, Jae‐Dong; Mwakalonge, Judith

doi:10.1016/j.energy.2020.118342

Cited by 18 publications

(4 citation statements)

References 34 publications

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“…However, few articles talk about the combination of Internet public opinion and MCDM method. MCDM is often used in the research of supplier problems ( Alidoosti et al, 2021 , Ar et al, 2020 , Feng and Gong, 2020 , Hong and Mwakalonge, 2020 , Mina et al, 2021 ). However, a few scholars apply MCDM to the field of Internet public opinion.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19

Liu

et al. 2022

Information Processing & Management

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In the period of Corona Virus Disease 2019 (COVID-19), millions of people participate in the discussion of COVID-19 on the Internet, which can easily trigger public opinion and threaten social stability. This paper creatively proposes a multi-stage risk grading model of Internet public opinion for public health emergencies. On the basis of general public opinion risk grading analysis, the model continuously pays attention to the risk level of Internet public opinion based on the time scale of regular or major information updates. This model combines Analytic Hierarchy Process Sort II (AHPSort II) and Swing Weighting (SW) methods and proposes a new Multi-Criteria Decision Making (MCDM) method – AHPSort II-SW. Intuitionistic fuzzy number and linguistic fuzzy number are introduced into the model to evaluate the criteria that cannot be quantified. The multi-stage model is tested using more than 2,000 textual data about COVID-19 collected from Microblog, a leading social media platform in China. Seven public opinion risk assessments were conducted from January 23 to April 8, 2020. The empirical results show that in the early COVID-19 outbreak, the risk of public opinion is more serious on macroscopic view. In details, the risk of public opinion decreases slowly with time, but the emergence of important events may still increase the risk of public opinion. The analysis results are in line with the actual situation and verify the effectiveness of the method. Comparative analysis indicates the improved method is proved to be superior and effective, sensitivity analysis confirms its stability. Finally, management suggestions was provided, this study contributes to the literature on public opinion risk assessment and provides implications for practice.

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Section: Literature Reviewmentioning

confidence: 99%

Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19

Liu

et al. 2022

Information Processing & Management

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“…Considering the requirement of location-allocation decisions to high investment, it is necessary to generate an efficient scheme design for the logistics network. Therefore, Hong and Mwakalonge (2020) proposed a multiobjective programming model to design a biofuel logistics network and then evaluated various schemes through the DEA model based on changing the importance weights of each objective function. Fathi and Saen (2018) offered a DEA network model to assess the performance of twostage supply chains where the connections among supply chain echelons are bidirectional.…”

Section: Literature Reviewmentioning

confidence: 99%

A branch and efficiency algorithm to design a sustainable two-echelon supply chain network considering traffic congestion and uncertainty

Babaei

Khedmati

Jokar

2022

Environ Sci Pollut Res

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This work aims to design a sustainable two-echelon supply chain not only based on the widely used cost perspective, but also based on the efficient use and preservation of limited resources. For this purpose, a branch and efficiency (B&E) algorithm is developed, which includes an optimization model and an evaluation model. The proposed tri-objective optimization model simultaneously minimizes the total cost of the supply chain, maximizes the sustainability score, and minimizes inequity among customers. The solutions obtained from the optimization model are then evaluated by extended data envelopment analysis (EDEA) models based on common criteria (i.e., cost and service) and traffic congestion criterion. To take into account real-world conditions, parameters related to labor and demand are assumed under uncertainty. Since the presented models consist of more than one objective function, fuzzy goal programming (FGP) method is utilized to tread the multiobjectiveness. The obtained results from tackling a case study problem demonstrate that considering sustainability issues can positively affect both the economic and social aspects of the problem. Furthermore, the developed B&E algorithm is able to reduce costs in each iteration; this is what supply chain managers are interested in. On the other hand, this algorithm can provide more services to applicants compared to one of the competing algorithms.

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“…Li et al (2020b) assessed the regional vulnerability of China to swine fever using DEA. Hong and Mwakalonge (2020) used DEA in the design of a biofuel logistics network. Moreover, Ghanem et al (2020) used DEA to analyze the efficiency of Turkish railways.…”

Section: Data Envelopment Analysis In Performance Evaluationmentioning

confidence: 99%

Benchmarking of COVID-19 testing facilities: a case in the Philippines

Velos

Dayupay

et al. 2022

JM2

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Purpose With the aggressive movement towards testing for COVID-19 across the globe, this study aims to shed light on how testing facilities perform in an operational perspective. Design/methodology/approach With 102 testing facilities in the Philippines, the relative efficiencies of each facility are quantified using a data envelopment analysis technique. Afterwards, a best-worst method was conducted to assign priority weights to each testing facility. Findings Results show that the proposed approach effectively prioritizes testing facilities that most likely have high utilization. Research limitations/implications The findings in this study would be significant to the literature in a number of respects. For one, it reveals results that would stimulate the interest among scholars in a wide variety of disciplines such as management, data mining, policymaking, decision science and epidemiology, among others. Originality/value This study differs from previous works in a number of respects, particularly, in that to the best of the authors’ knowledge, this is the first study to examine the relative efficiencies of COVID-19 testing facilities.

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Biofuel logistics network scheme design with combined data envelopment analysis approach

Cited by 18 publications

References 34 publications

Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19

Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19

A branch and efficiency algorithm to design a sustainable two-echelon supply chain network considering traffic congestion and uncertainty

Benchmarking of COVID-19 testing facilities: a case in the Philippines

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