Assessment of challenges and problems in supply chain among retailers during COVID-19 epidemic through AHP-TOPSIS hybrid MCDM technique

Islam, S Mojahid Ul; Khan, Sameen; Ahmad, Hozaifa; Rahman, Md Adib Ur; Tomar, Sarika; Khan, Mohd Zaheen

doi:10.1016/j.iotcps.2022.10.001

Cited by 17 publications

(10 citation statements)

References 52 publications

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“…The evaluation of the response made it easier for SC managers to take the necessary steps to improve future SC responses. The issue of evaluation in the COVID-19 pandemic has been addressed from various aspects of the SC, such as resilience (Alajmi et al, 2021) [74], risk (Jomthanachai et al, 2022) [75], and challenges and problems among retailers (Ul Islam et al, 2022) [76]. However, no studies were found that examined the evaluation of the SCR during the COVID-19 pandemic.…”

Section: Discussionmentioning

confidence: 99%

Supply Chain Response during the COVID-19 Pandemic: A Multiple-Case Study

Pacheco

Benedito

2023

Processes

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This study explores the responses of manufacturing and service provision companies in Santiago de Cali to stimuli during the COVID-19 pandemic. The responses included changes in demand, absenteeism, and the development of new products, which affected the supply chain (SC). The qualitative methodology of the multiple-case study was used. The evidence for the multiple-case studies was collected through semi-structured interviews, where the interviewees were SC experts from four manufacturing companies and one service company. The data analysis was performed in two phases. In phase one, the case study protocol was completed, and in phase two, thematic analysis was used to identify supply chain response (SCR) patterns. The results revealed two aspects of the SCR. First, to respond to a stimulus, SC adapted activities other than those of suppliers and manufacturers, such as product design and development, human resources, budgeting, and logistics. Second, the SCs used several alternatives to respond to the stimuli. This study contributes to two aspects of the SCR literature: (1) it documents the identification, detection, planning, and evaluation of SCR in response to a stimulus, and (2) it proposes the concept of the response pathway. The response pathway concept facilitates decision-making and resource management in SCR.

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Section: Discussionmentioning

confidence: 99%

Supply Chain Response during the COVID-19 Pandemic: A Multiple-Case Study

Pacheco

Benedito

2023

Processes

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“…At an individual level, everyone can contribute by using such sustainable fuels with a smaller data set. Also, future researchers will have a feasible model that can yield efficient valuable experimental values for potential upcoming feedstocks being sustainable in nature. − …”

Section: Academic Contribution Of the Researchmentioning

confidence: 99%

Comparative Study of Soft Computing and Metaheuristic Models in Developing Reduced Exhaust Emission Characteristics for Diesel Engine Fueled with Various Blends of Biodiesel and Metallic Nanoadditive Mixtures: An ANFIS–GA–HSA Approach

Khan

Alam³

et al. 2023

ACS Omega

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Since the discovery of petrol-based products, a surge in energy-requiring equipment has been established across the world. Recent depletion of the existing crude oil resources has motivated researchers to opt for and analyze potential fuels that could potentially provide a cost-effective and sustainable solution. The current study selects a waste plant known as Eichhornia crassipes through which biodiesel is generated, and its blends are tested in diesel engines for feasibility. Different models using soft computing and metaheuristic techniques are employed for the accurate prediction of performance and exhaust characteristics. The blends are further mixed with nanoadditives, thereby exploring and comparing the changes in performance characteristics. The input attributes considered in the study comprise engine load, blend percentage, nanoparticle concentration, and injection pressure, while the outcomes are brake thermal efficiency, brake specific energy consumption, carbon monoxide, unburnt hydrocarbon, and oxides of nitrogen. Models were further ranked and chosen based on their set of attributes using the ranking technique. The ranking criteria for models were based on cost, accuracy, and skill requirement. The ANFIS harmony search algorithm (HSA) reported a lower error rate, while the ANFIS model reported the lowest cost. The optimal combination achieved was 20.80 kW, 2.48047, 150.501 ppm, 4.05025 ppm, and 0.018326% for brake thermal efficiency (BTE), brake specific energy consumption (BSEC), oxides of nitrogen (NOx), unburnt hydrocarbons (UBHC), and carbon monoxide (CO), respectively, thereby furnishing better results than the adaptive neuro-fuzzy interface system (ANFIS) and the ANFIS−genetic algorithm model. Henceforth, integrating the results of ANFIS with an optimization technique with the harmony search algorithm (HSA) yields accurate results but at a comparatively higher cost.

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“…This increase is attributed to factors together with growing purchaser call for, government incentives, and investments from multinational automotive businesses. However, along boom comes challenges, specifically in dealing with the complicated deliver chain networks and logistics operations which might be essential for the enterprise's achievement (Islam et al, 2022;Li & Chen, 2023).…”

Section: Introductionmentioning

confidence: 99%

Supply Chain and Logistics Management in the Automotive Industry

Nhung

2024

JAMREMS

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This examine investigates supply chain and logistics control practices inside the automobile enterprise, specializing in elements influencing deliver chain performance and organization profitability. The studies technique consists of stratified random sampling, device development, validation, and statistical analyses such as paired-samples t-take a look at, regression, ANCOVA, and Pearson correlational analyses. Descriptive records reveal key performance metrics, even as regression analyses show high-quality relationships between supply chain performance variables (inventory turnover, order achievement percentage, provider first-rate) and corporation profitability, controlling for corporation length. ANCOVA outcomes highlight mixed influences of deliver chain performance and organizational elements on profitability, while correlational analyses suggest robust positive correlations between stock turnover, order achievement percent, dealer high-quality, and organization profitability.

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Assessment of challenges and problems in supply chain among retailers during COVID-19 epidemic through AHP-TOPSIS hybrid MCDM technique

Cited by 17 publications

References 52 publications

Supply Chain Response during the COVID-19 Pandemic: A Multiple-Case Study

Supply Chain Response during the COVID-19 Pandemic: A Multiple-Case Study

Comparative Study of Soft Computing and Metaheuristic Models in Developing Reduced Exhaust Emission Characteristics for Diesel Engine Fueled with Various Blends of Biodiesel and Metallic Nanoadditive Mixtures: An ANFIS–GA–HSA Approach

Supply Chain and Logistics Management in the Automotive Industry

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