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Recently, much research about the effects of simulation on an organization’s operational performance and efficiency has been carried out. But still, there is a need for lean-based simulations rather than just modelling the system. However, these studies still lack systematization. Consequently, the purpose of this paper is to systematize the literature on lean simulations in the area of production and operations management.

A systematic analysis was performed on 93 articles extracted from the Clarivate Analytics Web of Science (WoS) Core Collection database. The analysis was limited to only articles that come under the “Engineering industrial,” “Engineering Manufacturing” and “Operations Research and Management” subject category in WoS Core Collection database. Later, a bibliometric analysis was integrated with the literature review for deeper literature categorization.

A bibliometric analysis displayed the relevance of selected literature (keywords, authors and sources). The systematic literature review helped to clarify each clusters’ content and purpose.

This study portrays the gaps in the lean simulation integration methods and techniques through a detailed systematic and bibliometric review.

Lean managers can get various insights and ideas on implementing lean and simulation integration methods in real-time process improvement scenarios.

This study demonstrates the best future recommendations for lean based modelling for both consumers and organizations that shall address the social and economic issues.

To the best of the authors’ knowledge, minimal attention has been paid to systematizing the literature on lean simulation in industrial, manufacturing and operations management. This study contributes to close this gap.

Lean implementation is vastly incorporated in core manufacturing processes; however, its applicability in the supply chain and service industry is still in its infancy. To acquire performance excellence and thrive in the global competitive market, many firms are adopting newer methodologies. But, there is a stringent need for production simulation systems to analyze supply chains both inbound and outbound. The era of face validation is slowly disappearing. Lean tools and procedures that provide future state assumptions need advanced tools and techniques to measure, quantify, analyze and validate them. The purpose of this study is to enable dynamic quantification and visualization of the future state of a warehouse supply chain value stream map using discrete event simulation (DES) technique.

This study aimed to apply an integrated approach of the value stream mapping (VSM) and DES in a Malaysian pharmaceutical production warehouse. The main focus is diverted towards reducing the warehouse supply chain lead time by initially constructing a supply chain value stream map (both present state and future state) and integrating its data in a DES modelling and simulation software to dynamically visualize the changes in future state value stream map.

The DES simulation was able to mimic the future state lead time reductions successfully, which assists in better decision-making. Improvements were seen related to total lead time, process time, value and non-value-added percentage. Warehouse performance metrics such as receiving, put away and storage rates were substantially improved along with pallet processing time, worker and forklift throughput usage percentage. Detailed findings are clearly stated at the end of this paper.

This study is limited to the warehouse environment and further additional process models and functional upgrades in the DES software systems are very much needed to directly visualize and quantify all the possible Lean assumptions such as radio frequency image identification/Andon (Jidoka), 5S, Kanban, Just-In-Time and Heijunka. However, DES has a leading edge in extracting dynamic characteristics out of a static VSM timeline and capture details on discrete events precisely by picturizing facility modification and lead time related to it.

This paper includes all the fundamental pharmaceutical warehouse supply chain processes and the simulations of the future state VSM in a real-life context by successfully reducing supply chain lead time and allowing managers in inculcating near-optimal decision-making, controlling and coordinating warehouse supply chain activities as a whole.

This integrated approach of DES and VSM can involve managers and top management to support the adoption of anticipated changes. This study also has the potential to engage practitioners, researchers and decision-makers in the warehouse industry.

This study involves a powerful DES software package that can mimic the real situation as a virtual simulation and all the data and model building are based on a real warehouse scenario in the pharmaceutical industry.

This paper aims to identify the interaction of different intervention strategies implemented in Malaysia towards flattening the curve of COVID-19 cases. Since the outbreak of COVID-19, many approaches were adopted and implemented by the Malaysian government. Some strategies gained quick wins but with negative unintended consequences after execution, whereas other strategies were slow to take effect. Learning from the previous strategies is pivotal to avoid repeating mistakes.

This paper presents the cause, effect of and connection among the implemented COVID-19 intervention strategies using systems thinking through the development of a causal loop diagram. It enables the visualisation of how each implemented strategy interacted with each other and collectively decreased or increased the spread of COVID-19.

The results of this study suggested that it is not only essential to control the spread of COVID-19, but also to prevent the transmission of the virus. The Malaysian experience has demonstrated that both control and preventive strategies need to be in a state of equilibrium. Focusing only on one spectrum will throw off the balance, leaving COVID-19 infection to escalate rapidly.

The developed feedback loops provided policy makers with the understanding of the merits, pitfalls and dynamics of prior implemented intervention strategies before devising other effective intervention strategies to defuse the spread of COVID-19 and prepare the nation for recovery.

The purpose of this study is to apply value stream mapping (VSM) in Malaysian pharmaceutical production warehouse. A current and future state value stream map from the raw material receiving end to the production unit was developed to find out waste and unwanted lead time. It was very much essential to cut down the supply chain lead time at the initial phase as the raw material unloading, sorting, temporary storage and dispatch to production were seen contributing to a huge lead time build-up.

The study was initiated with the selection of a product family, construction of the current state map, identification of various wastes and the development of future state map.

The expected outcomes of the study include the quantification of wastes, improvement in value-added percentage and lead time reduction.

The study was carried out in a single pharmaceutical company. The results of the study are deployable and can be functional in similar production organizations. Contrary to common VSMs that capture core production processes, this study provides strong insights that shall help design lean supply chains, especially in the pharmaceutical domain. This paper has also addressed the viability of the lean in the pharmaceutical warehouse and the reduction in lead time to improve demand forecasting, marketing and sales.

The results of this study have indicated that a significant reduction in pharmaceutical warehouse supply chain lead time is possible as a result of the implementation of VSM from the supply chain’s perspective.

The insights from this study help in understanding the pharmaceutical supply chain risks and their outcomes.

The paper reports a real-time study conducted in a warehouse of a pharmaceutical organization. Hence, the contributions are original.

This study aims to evaluate the knowledge structure of halal certification in food and beverages. The growth of the Muslim population and the expanding economic activities among the Muslim community have necessitated extensive and comprehensive halal certification, particularly in food and beverage products.

Through a science mapping approach, this study explores the knowledge structure based on past publications in food and beverages and its association with halal certification, logos and brands. Applying bibliographic coupling and co-word analysis, the present and future trends of halal certification in food and beverages are explored by presenting a network visualization to present the underlying themes and research streams.

The main finding from recent and emerging themes shows that the pivotal perspective is increasing consumers’ knowledge and awareness of halal-certified food products. Future trends stemming from the co-word analysis suggest the importance of exploring consumer halal food product determinants.

This study is relevant to stakeholders, scholars and practitioners, particularly in disseminating information and voice on the importance of halal-certified food products that are recognized as having better quality and contributing to environmental sustainability.

The purpose of this study is to review the application of social media for knowledge sharing (KS) in higher education. KS is the most crucial component in knowledge management. Higher education institutions (HEIs) are the epitome of knowledge creation and acquisition. With the advancement in technology and the embracement of social media, knowledge should be shared more freely and easily.

Using a bibliometric analysis, this study applies bibliographic coupling and co-word analysis to analyze the present and future trends on KS using social media in HEIs. 455 journal publications and 21,181 cited references were retrieved from Web of Science (WoS) database.

Findings show that most themes are categorized towards academics and students. Themes related to academics are the use of social media for expertise sharing and KS's impact on university-industry networking. In contrast, themes related to students revolved around the impacts of social media and academic performance.

Implications towards major social media practices on KS are discussed.

This study provides a novel, state-of-the-art bibliometric review of knowledge sharing via social media in the higher education context.

This study aims to examine the young Malaysian consumers’ switching intention from synthetic to biodegradable plastics. This research shows the factors affecting young Malaysian consumers’ switching intention towards biodegradable plastic rather than traditional plastic (synthetic plastics). In this study, there are three factors to be considered whether they influence the young consumers in Malaysia to change their intention towards biodegradable plastic. The three factors are environmental concern, knowledge and the perceived value of biodegradable plastic. However, biodegradable plastic’s switching intention is also affected by biodegradable plastic’s attitude, where the three factors influence this attitude. Thus, all variables are considered in this research to investigate the reasons for switching intention from synthetic to biodegradable plastics among young Malaysian consumers.

In line with the recent economic growth, especially in developing countries, human concern for the environment has increased over time. This paradigm shift has influenced Malaysians to pay more attention to the issues related to synthetic plastics, especially in Malaysia itself. To reduce the use of synthetic plastic in Malaysia, this research is conducted to identify the young consumer’s behaviour in Malaysia towards the use of biodegradable plastics. In this study, the theory of planned behaviour (TPB) is broadened into three additional factors that potentially enhance the young consumer’s attitude and increase switching intention towards biodegradable plastics: environmental concern, knowledge and perceived value. The data were collected using a structured questionnaire via an online survey method. The structural equation modelling with SmartPLS 3 was used to analyse the data from a total of 162 respondents. The study’s key findings confirmed that switching intention towards biodegradable plastics is significantly influenced by environmental concern, perceived value, and attitude. This study also provided empirical evidence that the attitude acts as a mediator for the relationship between environmental concern and perceived value towards the switching intention. These results could help the government establish a new policy to encourage citizens to use biodegradable plastics while reducing environmental pollution.

The study’s key findings confirmed that switching intention towards biodegradable plastics is significantly influenced by environmental concern, perceived value and attitude. Furthermore, this study extends the TPB to include the intention to switch from synthetic to biodegradable plastics, where attitudes towards the environment, environmental concern and perceived value all have an impact on the intention to switch from synthetic to biodegradable plastics in the first place. As an additional contribution to the existing body of knowledge, this study provides empirical data about the variables influencing decision-makers’ intentions towards the transition from synthetic to biodegradable plastics. The findings of this study may also be useful for future research by academic institutions, the Department of Research and Development and the government. As a result, this research is important for future academics who want to better understand the intentions of young Malaysian consumers when it comes to biodegradable plastics.

This research might provide direction to a firm considering implementing a new business strategy to develop creative and sustainable products that will contribute to the protection of the environment. More importantly, this research contributes to improving government policy and regulation in environmental preservation by integrating environmental knowledge and attitude into Malaysian cultural practices. Also possible are even greater levels of environmental awareness and environmentally friendly activities on the part of the government and the commercial sector, such as various initiatives and events to encourage green and environmentally friendly purchasing habits. As a result, given that sustainability has emerged as one of the most pressing issues facing society today, this research is important in that it provides insights for stakeholders (policymakers, marketers and others) to strategise the government’s plan to reduce the use of synthetic plastics and promote the use of biodegradable plastics. As the analysis of consumer behaviour is one of the most important aspects of improving the profitability of businesses, the collaboration between marketing and the research and development department to examine consumer behaviour is extremely important to meet the needs of consumers. This research could serve as a reference for them during the decision-making process, particularly in the plastics industry, which is highly recommended. Aside from that, the findings of the study may be used as a guide for the government in developing new policies to attain the objective of sustainable development in the future. As a result, it can aid in introducing environmentally friendly products and raising public knowledge about them.

The latest novel coronavirus disease 2019 (COVID-19) pandemic continues to have a significant social and financial impact globally. It is very essential to study, categorize and systematize published research on mitigation strategies adopted during previous pandemic scenario that could provide an insight into improving the current crisis. The goal of this paper is to systematize and identify gaps in previous research and suggest potential recommendations as a conceptual framework from a strategic point of view.

A systematic review of Scopus and Web of Science (WoS) core collection databases was performed based on strict keyword search selections followed by a bibliometric meta-analysis of the final dataset.

This study indicated that the traditional mitigation techniques adopted during past pandemics are in place but are not capable of managing the transmission capability and virulence of COVID-19. There is a greater need for rethinking and re-engineering short and long-term approaches to prevent, control and contain the current pandemic situation.

Integrating various mitigation approaches shall assist in flattening the pandemic curve and help in the long run.

Articles, conference proceedings, books, book chapters and other references from two extensive databases (Scopus and WoS) were purposively considered for this study. The search was confined to the selected keywords outlined in the methodology section of this paper.