Keel can help you with optimizing the procurement cycle and all
spectrum of logistics management. Having extensive experience, we have created a database that allows us to support procurement
and project responsible with more accuracy and predict equipment maintenance periods based on the received data from the same equipment models.
Analytic Solution for Manufacturing Industryjsmith786
This is an Analytic Solution for manufacturing industry that enable companies to implement cost effective and integrated processes that quickly address changing consumer demands without eroding margins. We help customers accelerate time-to-market and streamline sourcing opportunities.
The following is a PowerPoint I created that includes a "bottom line" sentence for each video in the "Implementing Supply Chain Management" Lynda series.
Keel can help you with optimizing the procurement cycle and all
spectrum of logistics management. Having extensive experience, we have created a database that allows us to support procurement
and project responsible with more accuracy and predict equipment maintenance periods based on the received data from the same equipment models.
Analytic Solution for Manufacturing Industryjsmith786
This is an Analytic Solution for manufacturing industry that enable companies to implement cost effective and integrated processes that quickly address changing consumer demands without eroding margins. We help customers accelerate time-to-market and streamline sourcing opportunities.
The following is a PowerPoint I created that includes a "bottom line" sentence for each video in the "Implementing Supply Chain Management" Lynda series.
How To Optimize Logistic Delivery Operations Through AI.pdfPeppyOcean
Explore this presentation and learn the AI optimization strategies for logistics delivery apps that will elevate your app's functionality, ensuring it stands out in the competitive landscape of logistics and delivery solutions.
With Increased Government investment and focus on infrastructure and smart systems, rise of India as a manufacturing economy, introduction of GST, rise of e-commerce and increasing levels of digitization and technology adoption by traditional players the logistics sector is undergoing a massive change. Technologies like IoT and Big Data will play a key role in addressing the challenges of logistics industry in India.
Our platform is generic and agile enough to sit on top of any company’s database collection, and using machine intelligence, explores all of a company’s databases. Shipsy addresses problems related to area serviceability, real-time visibility, location intelligence, last mile delivery optimization and supply chain planning. Our clients have seen tremendous results in their operational efficiency and have been able to deliver a better experience to their customers.
Enhanced Order and Demand Management Systems1Enhanced Order and.docxSALU18
Enhanced Order and Demand Management Systems1
Enhanced Order and Demand Management Systems7 Enhanced Order and Demand Management Systems
Prateek Gupto
Harrisburg University
Abstract
Order and demand management is by far one of the prime aptitudes of supply chain and businesses. At present, maintaining a consistency in order management and fulfillment is more important for smooth functioning of a firm. At the same time, it has become tougher than ever. The reasons are familiar to any company operating in the global arena. This is mainly because rise in the complexity of order and delivery management process networks, the complexity of global supply chains and the increase in the awareness and outlook of customers and consumers. (Pearcy, 2013)
Every Retail Operations order management division in supply chain system would want to have an optimal way to capture and fulfil retail sales orders so that all the orders get processed, exceptions are flagged and resolved in time to meet the customer’s RDD (Requirement Delivery Date). Currently the most widely used systems by top tier companies are SAP EMW, NetOps, Oracle and others. But, these prove to cost companies a lot for contracting their services and becomes a big challenge specially when there’s an upgrade (e.g. Oracle 11g to 12 migration), ultimately costing companies. So, to overcome these challenges we can develop and introduce an independent in-house Order and Inventory management ERP system in Supply Chain Management division to capture all the B2B orders. The system will schedule a process which will run every half hour to sync all the retail orders inside the Order Management system to master database of supply chain. This in-house built system will act as the source of truth to view the information that is related to the whole lifecycle of B2B orders
Keywords: Order Management, Order Fulfilment, Demand Management, Inventory Management, Logistics, Logistic System, Warehouse, B2B orders, Warehouse Management
Table of Contents
Abstract2
Enhanced Order and Demand Management Systems4
Relation to CPT4
What HCL does?4
Overview of CPT Assignment.5
Relation to ISEM.5
Introduction6
Why do we need such system in SC Engineering?7
Key terms and Definitions8
Problem Statement and Justification9
Literature Review10
Proposed
Solution
Approach and Work Plan12
Conclusion13
References14
Enhanced Order and Demand Management Systems
Relation to CPT
My current CPT assignment is with the Global IT consulting firm, HCL Americas Inc. HCL America was established in 1989, headquartered in Sunnyvale, California. Based on a in depth assessment of the market and customer insights, HCL follows comprehensive services and portfolio that establishes it as one of the most reliable IT companies in the US.What HCL does?
“HCL uses its Integrated Infrastructure and Operations Management (IOMC) model to improve the supply chain and logistics for its customers which significantly reduces the vendor management overhea ...
When planning on producing a new product and/or service, the key factor is the product and service design. Successful designs come down to these basic principles: translate customers' wants and needs, refine existing products and services, develop new products and services, formulate quality goals, formulate cost targets, construct and test prototypes, document specifications, and translate products and service specification into process specifications. The process of design has certain steps that include motivation, ideas for improvement, organizational capabilities, and forecasting. In the product process innovations, research and development play a significant role. Because of the influence a product and service design can have on an organization, the design process is encouraged to be tied in with the organization's strategy and take into account some key considerations.
Companies choose various ways to design their products and the type of services they provide. Which include: standardization, mass customization, delayed differentiation, modular design, and robust design deciding which method to use is very important along with deciding the company's target market. Deciding the right method, establishes good productivity and efficient way of operations.
In the fast-paced world of business, optimizing logistics and supply chain management is crucial for staying competitive and ensuring seamless operations. The landscape is evolving, and businesses need to adapt by enhancing the efficiency of their logistical processes. In this blog, we'll explore valuable tips and strategies to optimize logistics and supply chain management, focusing on the key aspects that drive success in the modern business environment.
Using Predictive Analytics to Optimize Asset Maintenance in the Utilities Ind...Cognizant
Predictive analytics is a process of using statistical and data mining techniques to analyze historic and current data sets, create rules and predict future events. This paper outlines a game plan for effective implementation of predictive analytics.
Today, enterprises are looking for innovative ways to digitally transform their businesses - a crucial step forward to remain competitive and enhance profitability. Streaming analytics is a key technology enabler that supports this effort by providing real-time insights on data in motion to help organizations gain the business intelligence they need.
Every industry has its unique challenges, especially where data is concerned. A key advantage of streaming analytics is that it can be customized to create solutions that meet the specific requirements of a particular industry. With years of expertise adapting our analytics products to customer needs, we’ve designed solution templates that target prominent pain points in specific industries.
In this webinar Nirmal will,
Introduce WSO2 Analytics Solutions and theirs use cases (finance and banking, retail, location analytics, IT operations analytics, etc.)
Demonstrate our fleet management solution that gives you the ability to
Know where your fleet is at the moment
Analyze your drivers’ behavior (do they obey speed limits and use optimal routes?)
Find the optimal routes (predict congestion)
Check whether the driver and the cargo are safe
Receive alerts on violation of rules based on Geo-fences
Explain how to customize WSO2 Analytics Solutions
Discuss how to reach out to us
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
How To Optimize Logistic Delivery Operations Through AI.pdfPeppyOcean
Explore this presentation and learn the AI optimization strategies for logistics delivery apps that will elevate your app's functionality, ensuring it stands out in the competitive landscape of logistics and delivery solutions.
With Increased Government investment and focus on infrastructure and smart systems, rise of India as a manufacturing economy, introduction of GST, rise of e-commerce and increasing levels of digitization and technology adoption by traditional players the logistics sector is undergoing a massive change. Technologies like IoT and Big Data will play a key role in addressing the challenges of logistics industry in India.
Our platform is generic and agile enough to sit on top of any company’s database collection, and using machine intelligence, explores all of a company’s databases. Shipsy addresses problems related to area serviceability, real-time visibility, location intelligence, last mile delivery optimization and supply chain planning. Our clients have seen tremendous results in their operational efficiency and have been able to deliver a better experience to their customers.
Enhanced Order and Demand Management Systems1Enhanced Order and.docxSALU18
Enhanced Order and Demand Management Systems1
Enhanced Order and Demand Management Systems7 Enhanced Order and Demand Management Systems
Prateek Gupto
Harrisburg University
Abstract
Order and demand management is by far one of the prime aptitudes of supply chain and businesses. At present, maintaining a consistency in order management and fulfillment is more important for smooth functioning of a firm. At the same time, it has become tougher than ever. The reasons are familiar to any company operating in the global arena. This is mainly because rise in the complexity of order and delivery management process networks, the complexity of global supply chains and the increase in the awareness and outlook of customers and consumers. (Pearcy, 2013)
Every Retail Operations order management division in supply chain system would want to have an optimal way to capture and fulfil retail sales orders so that all the orders get processed, exceptions are flagged and resolved in time to meet the customer’s RDD (Requirement Delivery Date). Currently the most widely used systems by top tier companies are SAP EMW, NetOps, Oracle and others. But, these prove to cost companies a lot for contracting their services and becomes a big challenge specially when there’s an upgrade (e.g. Oracle 11g to 12 migration), ultimately costing companies. So, to overcome these challenges we can develop and introduce an independent in-house Order and Inventory management ERP system in Supply Chain Management division to capture all the B2B orders. The system will schedule a process which will run every half hour to sync all the retail orders inside the Order Management system to master database of supply chain. This in-house built system will act as the source of truth to view the information that is related to the whole lifecycle of B2B orders
Keywords: Order Management, Order Fulfilment, Demand Management, Inventory Management, Logistics, Logistic System, Warehouse, B2B orders, Warehouse Management
Table of Contents
Abstract2
Enhanced Order and Demand Management Systems4
Relation to CPT4
What HCL does?4
Overview of CPT Assignment.5
Relation to ISEM.5
Introduction6
Why do we need such system in SC Engineering?7
Key terms and Definitions8
Problem Statement and Justification9
Literature Review10
Proposed
Solution
Approach and Work Plan12
Conclusion13
References14
Enhanced Order and Demand Management Systems
Relation to CPT
My current CPT assignment is with the Global IT consulting firm, HCL Americas Inc. HCL America was established in 1989, headquartered in Sunnyvale, California. Based on a in depth assessment of the market and customer insights, HCL follows comprehensive services and portfolio that establishes it as one of the most reliable IT companies in the US.What HCL does?
“HCL uses its Integrated Infrastructure and Operations Management (IOMC) model to improve the supply chain and logistics for its customers which significantly reduces the vendor management overhea ...
When planning on producing a new product and/or service, the key factor is the product and service design. Successful designs come down to these basic principles: translate customers' wants and needs, refine existing products and services, develop new products and services, formulate quality goals, formulate cost targets, construct and test prototypes, document specifications, and translate products and service specification into process specifications. The process of design has certain steps that include motivation, ideas for improvement, organizational capabilities, and forecasting. In the product process innovations, research and development play a significant role. Because of the influence a product and service design can have on an organization, the design process is encouraged to be tied in with the organization's strategy and take into account some key considerations.
Companies choose various ways to design their products and the type of services they provide. Which include: standardization, mass customization, delayed differentiation, modular design, and robust design deciding which method to use is very important along with deciding the company's target market. Deciding the right method, establishes good productivity and efficient way of operations.
In the fast-paced world of business, optimizing logistics and supply chain management is crucial for staying competitive and ensuring seamless operations. The landscape is evolving, and businesses need to adapt by enhancing the efficiency of their logistical processes. In this blog, we'll explore valuable tips and strategies to optimize logistics and supply chain management, focusing on the key aspects that drive success in the modern business environment.
Using Predictive Analytics to Optimize Asset Maintenance in the Utilities Ind...Cognizant
Predictive analytics is a process of using statistical and data mining techniques to analyze historic and current data sets, create rules and predict future events. This paper outlines a game plan for effective implementation of predictive analytics.
Today, enterprises are looking for innovative ways to digitally transform their businesses - a crucial step forward to remain competitive and enhance profitability. Streaming analytics is a key technology enabler that supports this effort by providing real-time insights on data in motion to help organizations gain the business intelligence they need.
Every industry has its unique challenges, especially where data is concerned. A key advantage of streaming analytics is that it can be customized to create solutions that meet the specific requirements of a particular industry. With years of expertise adapting our analytics products to customer needs, we’ve designed solution templates that target prominent pain points in specific industries.
In this webinar Nirmal will,
Introduce WSO2 Analytics Solutions and theirs use cases (finance and banking, retail, location analytics, IT operations analytics, etc.)
Demonstrate our fleet management solution that gives you the ability to
Know where your fleet is at the moment
Analyze your drivers’ behavior (do they obey speed limits and use optimal routes?)
Find the optimal routes (predict congestion)
Check whether the driver and the cargo are safe
Receive alerts on violation of rules based on Geo-fences
Explain how to customize WSO2 Analytics Solutions
Discuss how to reach out to us
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
3. Operations Analytics
The industry use this terms as analytics that is done "on the fly" or in real time observation of
business processes.
It will mainly focus at how specific business operations work on a daily basis and coming up with
quick solutions for change.
It’s various models helps in finding what happens within a business, in real-time or over a specific
time frame.
For example, businesses may be looking each day at how many customers look at or buy a
particular product in an e-commerce store.
Operation Analytics tool will show you the customer behavior through live dashboards.
4. Supply Chain Analytics
Supply chain consist huge amount of historical data.
Along with maintaining the data, it is vital to understand and derive important insights from it,
which would help the business grow effectively.
(i) Descriptive analytics which includes KPI tracking and internal reporting metrics based on
historical data such as what sold where and how many provides the baseline analytics
foundation.
(ii) Diagnostic analytics takes the data a step further by pointing to the root-cause of issues
based on patterns in the historical data, enabling directional guidance for faster reactions to fix
problems.
(iii) Predictive analytics uses statistical techniques to estimate the likelihood of future events
such as stock outs or movements in your product's demand curve. It provides the foresight for
focused decision making that avoids likely problems in the future.
(iv) Prescriptive analytics closes the loop by tying all the analytics components into actions and
automated decisions (with exceptions based planning) to improve the bottom line supply chain
results.
5. Logistics Analytics
Logistics analytics helps into anticipate slow and busy periods, potential future supply shortage,
deliveries optimization and inefficiencies reduction.
Operational improvement due to logistics analytics:-
Forecast: It helps to plan and anticipate shifts, inventory shortages, and reduces costs.
Inventory Management: It related to storing and forecasting, the inventory management is
enhanced.
Route optimization: With help of real-time GPS data, weather data, road maintenance data and
fleet and personnel schedules integrated into a system looking at historical trends, the most
optimized routes and time are selected for delivery.
Labor management: It helps in staff management , which is a huge asset for the supply chain
where a lot of workforces is needed on a continual basis.
Automation:- Due to automation, it increased speed, accuracy and efficiency of the production
process. Which will helps save a lot of time and focus on less repetitive work.
6. McKinnsey& Company
Case 1 :- Maximizing value from advanced
Analytics in telco service operations
In this case they are solving the problem
of churning due to not good services.
With the help of advanced analytics they are
trying to make model. Which will solve the
problem of customer operations and network
operations.
9. WNS
Case 2 :-
Intelligent Shipping and Logistics Services
Pave the Way for Transformed Business Operations
Benefits of Logistics analytics
• In this case WNS using Logistics analytics :-
1. WNS' Shipping and Logistics Services
2. WNS' Supply Chain Management Analytics Capabilities
10. WNS' Shipping and Logistics Services
WNS partners with shipping and logistics companies across all segments — ocean, 3PL, trucking, freight
forwarders, ports and terminals, and air express — to drive efficient business processes and co-create sustainable
value through digital transformation.
WNS' Proprietary Shipping and Logistics Solutions
• Bill of Lading Platform — WNS Malkom
• Cognitive Data Capture & Processing Platform
• Risk and Audit Analytics Offering
• Big Data Analytics Platform – Agilius
11. WNS' Supply Chain Management Analytics Capabilities
• WNS develops an analytics-led transformation road map that enables clients to understand and
envision how analytics and automation can improve their operations over time.
• For supply chain management analytics, WNS helps clients address industry specific challenge.
Which is occurring continuously in operational activity. Like,
1. Demand Forecasting for Shipments and Inventory
2. Intelligent Network and Route Optimization
3.Predictive Bill of Lading Volumes/Forecasting
4. Driver Performance Analytics, Compliance, and Behavior Audit
5. Freight Cost Analysis
6. Inventory Optimization
7. Workload Forecasting
8. Asset Management Analytics
9. Air Waybill Processing and Identification of Early Warning Indicators of Erroneous Air Waybills
10.Dispute Prediction Analytics/Modeling for Invoice Disputes
11.Analysis of Bill of Lading Prioritization Logic for Vessel Planning and Scheduling
