Cloud computing in Food Sector
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The document discusses cloud computing and its applications in the food industry. It begins with an introduction to cloud computing, describing how it allows users to access applications over the internet. It then discusses key cloud concepts like deployment models (public, private, hybrid clouds) and service models (IaaS, PaaS, SaaS). The document also discusses how cloud computing improves supply chain management in the food industry by providing real-time visibility, seamless collaboration, and insights. It explains how cloud computing enables food traceability from farm to fork. Finally, it discusses specific cloud applications for food safety systems and how cloud computing is being used in agriculture.
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Cloud computing in Food Sector
- 2. Focus 1. Introduction 2. Cloud and Cloud Computing 3. Working models- Deployment and Service 4. Supply chain management in the cloud 5. Food traceability: The potential of cloud computing 6. Cloud Computing-Food Safety System Data 7. Cloud computing in Agriculture 8. Visual representation of Cloud Computing in Food Industry
- 3. Introduction Cloud Computing provides us a means by which we can access the applications as utilities, over the Internet. It allows us to create, configure, and customize applications online. With Cloud Computing users can access database resources via the internet from anywhere for as long as they need without worrying about any maintenance or management of actual resources. Source: L.N. Chavali, Cloud Computing in Agriculture
- 4. What is Cloud? The term Cloud refers to a Network or Internet. In other words, we can say that Cloud is something, which is present at remote location. Cloud can provide services over network, i.e., on public networks or on private networks, i.e., WAN, LAN or VPN. Applications such as e-mail, web conferencing, customer relationship management (CRM), all run in cloud.
- 5. What is Cloud Computing? Cloud Computing refers to manipulating, configuring, and accessing the applications online. It offers online data storage, infrastructure and application. Cloud Computing is both a combination of software and hardware based computing resources delivered as a network service.
- 6. Conceptual view of Cloud Computing Differences between conventional and cloud computing
- 7. Working models for cloud computing Deployment Models Public cloud Private cloud Hybrid Cloud Service Models Infrastructure as a Service (IaaS) Platform as a Service (PaaS) Software as a Service (SaaS)
- 8. ` PUBLIC CLOUD • The Public Cloud allows systems and services to be easily accessible to the general public. Public cloud may be less secure because of its openness, e.g., e-mail. PRIVATE CLOUD • The Private Cloud allows systems and services to be accessible within an organization. It offers increased security because of its private nature. HYBRID CLOUD • The Hybrid Cloud is mixture of public and private cloud. However, the critical activities are performed using private cloud while the non-critical activities are performed using public cloud. Deployment Models
- 9. Software as a service (SaaS) Through this service delivery, model end users use the software application services directly over network according to on-demand basis. In this type, service only required administrator & cloud consultants. Example salesforce, drop box and Google applications such as Email, Google drive, talk etc. Platform as a service (PaaS) Cloud providers deliver a computing platform, typically including operating system, programming language execution environment, database, and web server. This type service only software developer required for deployment of software, Example Google application engine, window Azure, force.com etc. Infrastructure as a service (IaaS) Resources can easily be scaled up, depending upon the demand from the user, services being charged in a pay-per use model. Network administrator & programmer required for Iaas services, Example Amazon web service, IBM, HP etc. Service Models
- 10. CHARACTERISTICS OF CLOUD COMPUTING • On-demand self-service • Broad network access • Rapid elasticity • Measured service • Resource pooling
- 12. Cloud Computing in Food Industry
- 13. WHAT IS SUPPLY CHAIN? Flow of products and services from: Raw materials manufacturers Intermediate products manufacturers End product manufacturers Wholesalers and distributors and Retailers •Connected by transportation and storage activities •Integrated through information, planning, and integration activities •Cost and service levels
- 14. Supply Chain Management:- The design and management of seamless, value-added process across organizational boundaries to meet the real needs of the end customer -Institute for Supply Management Managing supply and demand, sourcing raw materials and parts, manufacturing and assembly, warehousing and inventory tracking, order entry and order management, distribution across all channels, and delivery to the customer - The Supply Chain Council
- 15. SCM Cloud computing SCM in the cloud High Performance-Delivered New cloud computing technologies are enabling breakthrough innovations in supply chain management (SCM) applications delivered via SaaS (software as a service) models. Interaction of Cloud Computing with SCM
- 16. SCM SCM
- 17. Volatility is the new normal Data volumes are surging What new capabilities does cloud computing bring to supply chain management? End-to-end visibility has arrived Digital technologies are industrial grade
- 18. Understanding what cloud computing can do for supply chains • Real-time visibility • Seamless collaboration • Highly evolved operating models • Actionable insights • Automated execution • Enhanced, accelerated innovation • Enhanced responsiveness • Proactive prevention • Last mile postponement • Maximum efficiency • Organizational flexibility • Personalized experiences
- 19. Food Traceability: The potential of cloud computing Farm to fork visibility Surprisingly cost effective Streamlines complexity Speed of data sharing Source: Matt Ferro, Food Traceability : The potential of cloud computing, 2014
- 20. Cloud Computing-Food Safety System Data • In a global economy, supply chains are growing more complex and extensive. The ingredient list of a typical processed food product found on a store shelf can easily reach 50. • a modern food producer may have hundreds of unique suppliers with ingredients passing through many different hands before reaching the consumer. It’s easy to see how food producers at any point in the supply chain are at risk. • cloud-based ERP system should include comprehensive food safety management capabilities (FSMS) that deliver manufacturing operations management, a dynamic, database-driven electronic HACCP program, and easily produce traceability records instantly in a single solution. These systems are taking the lead in helping food manufacturers comply and excel in today’s complex world. Source: Cloud Computing Maximizes Usefulness of Food Safety System Data, By Tom Nessen and Jon Cowan
- 21. Cloud Computing In Agriculture Source: L.N. Chavali, Cloud Computing in Agriculture
- 22. Visual representation of Cloud Computing in Food Industry C
- 24. References:- • Accenture, Supply Chain Management in the Cloud, Copyright © 2014 • Faheem Zafar, Abid Khan *, Saif Ur Rehman Malik, Mansoor Ahmed, Adeel Anjum, Majid Iqbal Khan, Nadeem Javed, Masoom Alam, Fuzel Jamil, A survey of cloud computing data integrity schemes: Design challenges, taxonomy and future trends, Elsevier 2016. • L.N. Chavali, Cloud Computing in Agriculture • Matt Ferro, Food Traceability : The potential of cloud computing, 2014 • Cloud Computing Maximizes Usefulness of Food Safety System Data, By Tom Nessen and Jon Cowan, 2012
Editor's Notes
- On-demand self-service: A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider. Broad network access: Capabilities are available over the network & accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations). Rapid elasticity: Cloud services can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time. Measured service: Pay per use-capabilities is charged using a metered, fee-for-service, or advertising based billing model to promote optimization of resource use. Examples are measuring the storage, bandwidth, & computing resources consumed and charging for the number of active user accounts per month. Resource pooling: The provider is computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. Examples of resources include storage, processing, memory, network bandwidth, and virtual machines.
- Now, as every business becomes a digital business, digitization has the potential to transform the supply chain by making services more valuable, accessible and affordable. For digital technologies to create new supply chain opportunities, a new perspective is needed. Organizations should reimagine the supply chain as a digital supply network that unites not just physical flows of products and services, but also talent, information and finance. In an abstract sense, people and data—as well as materials, products and supplies—must travel together across the extended enterprise. 1.Although unstable conditions are familiar terrain to supply chain professionals, few supply chains can accommodate the relentless speed and amplitude of volatility today. Cloud computing facilitates enhanced responsiveness to supply chain disruptions. 2. Because most data technologies have been adopted in piecemeal fashion, enterprise data is vastly underutilized. To unlock the value of external and internal data, companies must start to treat it as a supply chain, enabling data to flow through the entire organization—and out to its ecosystem of partners. By leveraging this data, cloud solutions facilitate the actionable insights that make digital supply networks intelligent. 3. The flow of goods can now be managed with digital tools that leverage high volumes of data from multiple sources, connect resources (machines and humans) in real-time, and embrace social media to collaborate beyond organization boundaries. By moving to the cloud, organizations can operate with increased flexibility and mass-customize their products and services. 4. New technologies and service providers make it possible for companies to turn their supply chains into end-to-end business operating strategies. The connected cloud enables the real-time collaboration that makes this possible.
- The connected supply chain advantage means: • Real-time visibility: supply chains become more dynamic, secure and interactive • Seamless collaboration: supply chain capabilities are harmonized beyond physical boundaries • Highly evolved operating models: product/ service delivery is exponentially improved to meet customers’ evolving demands. The intelligent supply chain advantage means: • Actionable insights: innovative data analysis supports advanced decision-making • Automated execution: seamless humanmachine interaction increases operational effiency • Enhanced, accelerated innovation: digital inspires and supports creative advances in design, personnel, operations and customer relationships. The scalable supply chain advantage means: • Maximum effiency: integration of people, process and technology • Organizational flxibility: digital plug-andplay enablers provide natural “confiure and re-confiure” capabilities • Personalized experiences: channel-centric supply networks help foster individualized products and services. The rapid supply chain advantage means: • Enhanced responsiveness: using better information and sophisticated analytics to interpret and react speedily to disruptions, including demand and supply signals • Proactive prevention: decision support, driven by predictive analytics, helps to confim reliability and rapid adaptability • Last mile postponement: swift repurposing of organizational assets at short notice helps to ensure that supplies always meet changing demands.
- Farm to fork visibility: The complexity of the food supply chain in combination with increased public concern and awareness of the origin of even minute ingredients have put pressure on foodservice operators to provide product genealogies. A cloud-based platform enables all collaborating parties to see exactly where each ingredient is in the supply chain in real time, whether they are in the office or out in the field and whether they are using a smartphone, tablet, or laptop. Surprisingly cost effective: Costs associated with traditional software solutions such as system upgrades, virus patches, and database management are eliminated with cloud computing. Rather than paying high upfront fees for hardware and software, a third party solution provider offers the cloud based service in exchange for a monthly subscription fee. Streamlines complexity: Multiple suppliers, different protocols, global sourcing – few companies have the capability to confidently navigate the array of obstacles to visibility into the food supply chain. But proponents of cloud-based traceability applications suggest such solutions “can capture data from all of these sources, translate it into common formats and integrate it into appropriate applications for processing.”