Shafique Ul Rehman Memon

Bio: Shafique Ul Rehman Memon is an academic researcher from Ocean University of China. The author has contributed to research in topics: Supply chain. The author has an hindex of 1, co-authored 1 publications receiving 4 citations.

Investigation of COVID-19 Impact on the Food and Beverages Industry: China and India Perspective

Abstract: The sudden breakout of coronavirus disease (COVID-19) rapidly spread across the globe, leaving no country behind in being affected by the global pandemic in the year 2019–20. As COVID-19 commenced, within months two major Asian giants initiated the norms of social distancing and lockdowns in their societies. The indiscriminate nature of the current pandemic has not only impacted the health and quality of life of people but has also disrupted the global economy, supply chains, and countries all over the world. In food and beverage manufacturing industries, the unanticipated disruption has encumbered its lock on the global food supply chain and service sector as major cities shut down for several months in China and India. Human existence is dependent upon food, which renders energy for activity, growth, and all functions of the body. Although both China and India have shown eminent response to tackle the ongoing pandemic, the food supply chain remains vastly exposed to significant COVID-19 risks. This research primarily investigates the ongoing COVID-19 scenario in two major economies (China and India), delivering insight into the pandemic’s impact within the food and beverage manufacturing sectors, and explores the policies adopted and strategies undertaken for sustainability in food supply chains.

On Deploying Blockchain Technologies in Supply Chain Strategies and the COVID-19 Pandemic: A Systematic Literature Review and Research Outlook

Abstract: The emergence of a new pandemic, known as COVID-19, has touched various sections of the supply chain (SC). Since then, numerous studies have been conducted on the issue, but the need for a holistic review study that highlights the gaps and limits of previous research, as well as opportunities and agendas for future studies, is palpable. Through a systematic literature review on blockchain technology (BCT) deployment in supply-chain management (SCM) concerning the COVID-19 pandemic, this research seeks to add to the content of previous studies and to enlighten the path for future studies. Relevant papers were found using a variety of resources (Scopus, Google Scholar, Web of Science, and ProQuest). Seventy-two articles were systematically selected, considering the PRISMA procedure, and were thoroughly analyzed based on BCT, methodologies, industrial sectors, geographical, and sustainability context. According to our findings, there is a significant lack of empirical and quantitative methodologies in the literature. The majority of studies did not take specific industries into account. Furthermore, the articles focusing on the sustainability context are few, particularly regarding social and environmental issues. In addition, most of the reviewed papers did not consider the geographical context. The results indicate that the deployment of BCT in several sectors is not uniform, and this utilization is reliant on their services during the COVID-19 pandemic. Furthermore, the concentration of research on the impacts of the BCT on SCM differs according to the conditions of various countries in terms of the consequences of the COVID-19 pandemic. The findings also show that there is a direct relationship between the deployment of BCT and sustainability factors, such as economic and waste issues, under the circumstances surrounding COVID-19. Finally, this study offers research opportunities and agendas to help academics and other stakeholders to gain a better knowledge of the present literature, recognize aspects that necessitate more exploration, and drive prospective studies.

Changes in the Innovation- and Marketing-Habits of Family SMEs in the Foodstuffs Industry, Caused by the Coronavirus Pandemic in Hungary

Abstract: The economic specialties caused by the global coronavirus pandemic completely changed everyday life regarding certain sectors. For the small and medium enterprises, processing during the pandemic held several significant challenges, such as: cost-efficient operations, hardship of keeping employees, efficient management of innovation and various corporate activities, keeping the customers, etc. Many enterprises saw severe damages indirectly from the coronavirus pandemic, as society itself had its habits significantly changed, thereby necessitating changes in strategy for small and medium enterprises, most notably for local service providers and producers that have no delivery service. In order to solve the issue at hand, several governments tried applying a variety of solutions—mostly by financing the enterprises in question. The goal of the authors is to understand the current operation of innovation initiatives that small and medium enterprises have post-COVID-19, and to obtain a clear view on changes in marketing habits. Furthermore, the analysis concentrates on the following: the state of family SMEs dealing in foodstuffs, and how to create a future view for such members of the sector by identifying best practices. Using data collected during 2020 and 2021, and employing descriptive statistics and a conjoint analysis, the authors wished to see how the coronavirus pandemic affected SMEs, detect the changes in their marketing and innovation policy due to the pandemic, and help them create core business strategy via consumer feedback. Authors found that SMEs had to innovate by 2021 beyond their 2019 expectations, and that customers had partially validated their endeavors through their answers.

Creation of Annual Order Forecast for the Production of Beverage Cans—The Case Study

Abstract: This article is focused on the creation of a system for forecasting of future orders for a specific beverage cans manufacturer. The problem comes from the irregular ordering of cans from different customers; not only national companies, but also from companies abroad. This causes fluctuations in production and consequently an irregular transport regime. That is why the beverage can producer demanded a forecasting system that would help to create an annual production plan. The aim is to analyze the ordering process for the last two years and on that basis to create a forecast system of the possible ordering process for the following year. This is necessary for the introduction of regularity of production, because the frequent transitions of the line to another assortment range or other surface printing requires long downtimes due to the technological setting, thus creating large losses due to inactivity of the production line. As drinking habits of final customers reflect the sale of cans, it was expected that sale data would have a seasonable character; this was proved after a brief analysis of the former data. After that, the appropriate forecasting methods were chosen. The methodology was created to combine multiple forecast results into one to increase the forecast objectivity. Forecasting is performed at three different levels: forecasting of assortment, forecasting of region sale and total forecasting of all orders. In spite of the change in market behavior in 2020, due to the pandemic situation in the first wave of the COVID-19 crisis, the sale of beverage cans is expected to stabilize and return to pre-crisis level as early as 2021. Then the forecasting system will fully meet the company’s requirements.