41 research outputs found
Digital technology enablers for resilient and customer driven food value chains
Food production chains have to respond to disrupted global markets and dynamic customer demands. They are coming under pressure to move from a supply to a demand-driven business model. The inherent difficulties in the lifecycle management of food products, their perishable nature, the volatility in global and regional supplier and customer markets, and the mix of objective and subjective drivers of customer demand and satisfaction, compose a challenging food production landscape. Businesses need to navigate through dynamically evolving operational risks and ensure targeted performance in terms of supply chain resilience and agility, as well as transparency and product assurance. While the industrial transition to digitalised and automated food production chains is seen as a response to such challenges, the contribution of industry 4.0 technology enablers towards this aim is not sufficiently well understood. This paper outlines the key features of high performing food production chains and performs a mapping between them and enabling technologies. As digitalisation initiatives gain priority, such mapping can help with the prioritisation of technology enablers on delivering key aspects of high performing food production chains
A Fuzzy-based Integrated Framework for monitoring stochastic demand in a supply chain environment
Risk quantification in cold chain management : a federated learning-enabled multi-criteria decision-making methodology
202208 bcwwAccepted ManuscriptSelf-fundedPublishe
A Study on SSD Aware Scan Operation Optimization in PostgreSQL Database
Cost functions used by query optimizers in database systems are built around the properties of conventional
hardware technologies like spin type hard disk drives. But with the rapid development in storage technology
several new technologies have emerged to overcome the limitations in conventional storage media. One such storage
technology is flash storage type which belongs to the broader category of SSDs (Solid State Devices). In this paper
we discuss a study done to optimize scan operation performance in PostgreSQL database running on flash storage
media by changing the random block transfer cost parameter to a suitable value
Standardising fresh produce selection and grading process for improving quality assurance in perishable food supply chains: an integrated Fuzzy AHP-TOPSIS framework
Team innovation in retail services : the role of ambidextrous leadership and team learning
Drawing upon the ambidextrous leadership theory for innovation, this study investigates the role of opening and closing leadership behaviors in both exploratory and exploitative learning in teams, and subsequently, in team innovation in the context of retail services. Results based on a survey data set collected from 296 team leaders in retail services in two major cities in Vietnam show that opening leadership behavior positively affects team exploratory learning and closing leadership behavior underlies team exploitative learning. Further, the interaction between opening and closing leadership behaviors positively affects both team exploratory and exploitative learning. Finally, these two types of team learning enhance team innovation. Our findings extend the existing literature on ambidextrous leadership, learning, and innovation to the team level in a transitioning economy and suggest possible ways for team leaders to enhance team innovation performance
