Bike manufacturer
โข
0 likesโข363 views
The document outlines the quote to cash process for a bike manufacturer. It involves receiving quote requests through various channels like EDI, web forms, email, and fax. Quotes are prepared and orders are handled in the sales process. Manufacturing involves creating work orders from sales orders, planning material requirements, receiving components, and assembling the finished bike. The warehouse then ships the bike and the finance department handles invoicing, payments, and reconciliation to complete the process.
Report
Share
Report
Share
![bike manufacturing process
Authors: ย Danny Gaethofs Publishing date: ย not yet published Page: ย 2ย ofย 2
Manufacturer
Operations Dept
OperationsDept
creatework
order
salesorder
salesBOM
manufacturing
BOM
routingworkorder
created
material
requirements
planning
Warehouse Dept
WarehouseDept
Receive
components
Brakes
[available]
Frame
[available]
Tires
[available]
Saddle
[available] Purchasing Dept
PurchasingDept
Ordertires
Tires
ordered
Orderframe
Ordersaddle
Frame
ordered
Saddle
ordered
Orderbrakes
Brakes
ordered
Assembling Dept
AssemblingDept
Manufacturebike
Bike
ready](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
Thought Vectors and Knowledge Graphs in AI-powered Search
While traditional keyword search is still useful, pure text-based keyword matching is quickly becoming obsolete; today, it is a necessary but not sufficient tool for delivering relevant results and intelligent search experiences.
In this talk, we'll cover some of the emerging trends in AI-powered search, including the use of thought vectors (multi-level vector embeddings) and semantic knowledge graphs to contextually interpret and conceptualize queries. We'll walk through some live query interpretation demos to demonstrate the power that can be delivered through these semantic search techniques leveraging auto-generated knowledge graphs learned from your content and user interactions.
How Graph Databases efficiently store, manage and query connected data at s...
Graph Databases try to make it easy for developers to leverage huge amounts of connected information for everything from routing to recommendations. Doing that poses a number of challenges on the implementation side. In this talk we want to look at the different storage, query and consistency approaches that are used behind the scenes. Weโll check out current and future solutions used in Neo4j and other graph databases for addressing global consistency, query and storage optimization, indexing and more and see which papers and research database developers take inspirations from.
Searching on Intent: Knowledge Graphs, Personalization, and Contextual Disamb...
Search engines frequently miss the mark when it comes to understanding user intent. This talk will walk through some of the key building blocks necessary to turn a search engine into a dynamically-learning "intent engine", able to interpret and search on meaning, not just keywords. We will walk through CareerBuilder's semantic search architecture, including semantic autocomplete, query and document interpretation, probabilistic query parsing, automatic taxonomy discovery, keyword disambiguation, and personalization based upon user context/behavior. We will also see how to leverage an inverted index (Lucene/Solr) as a knowledge graph that can be used as a dynamic ontology to extract phrases, understand and weight the semantic relationships between those phrases and known entities, and expand the query to include those additional conceptual relationships.
As an example, most search engines completely miss the mark at parsing a query like (Senior Java Developer Portland, OR Hadoop). We will show how to dynamically understand that "senior" designates an experience level, that "java developer" is a job title related to "software engineering", that "portland, or" is a city with a specific geographical boundary (as opposed to a keyword followed by a boolean operator), and that "hadoop" is the skill "Apache Hadoop", which is also related to other terms like "hbase", "hive", and "map/reduce". We will discuss how to train the search engine to parse the query into this intended understanding and how to reflect this understanding to the end user to provide an insightful, augmented search experience.
Topics: Semantic Search, Apache Solr, Finite State Transducers, Probabilistic Query Parsing, Bayes Theorem, Augmented Search, Recommendations, Query Disambiguation, NLP, Knowledge Graphs
Deep Neural Methods for Retrieval
Deep neural methods have recently demonstrated significant performance improvements in several IR tasks. In this lecture, we will present a brief overview of deep models for ranking and retrieval.
This is a follow-up lecture to "Neural Learning to Rank" (https://www.slideshare.net/BhaskarMitra3/neural-learning-to-rank-231759858)
The Apache Solr Semantic Knowledge Graph
What if instead of a query returning documents, you could alternatively return other keywords most related to the query: i.e. given a search for "data science", return me back results like "machine learning", "predictive modeling", "artificial neural networks", etc.? Solrโs Semantic Knowledge Graph does just that. It leverages the inverted index to automatically model the significance of relationships between every term in the inverted index (even across multiple fields) allowing real-time traversal and ranking of any relationship within your documents. Use cases for the Semantic Knowledge Graph include disambiguation of multiple meanings of terms (does "driver" mean truck driver, printer driver, a type of golf club, etc.), searching on vectors of related keywords to form a conceptual search (versus just a text match), powering recommendation algorithms, ranking lists of keywords based upon conceptual cohesion to reduce noise, summarizing documents by extracting their most significant terms, and numerous other applications involving anomaly detection, significance/relationship discovery, and semantic search. In this talk, we'll do a deep dive into the internals of how the Semantic Knowledge Graph works and will walk you through how to get up and running with an example dataset to explore the meaningful relationships hidden within your data.
Advanced Querying with CakePHP 3
CakePHP 3 comes with a new ORM. This talk starts with a short history of how this library came to be and then walk through a series of examples from beginner to advanced for using the Querying features of the ORM.
From SKOS over SKOS-XL to Custom Ontologies
This slidedeck is about PoolParty Semantic Suite (http://www.poolparty.biz/), especially about features included by releases 5.2 and 5.3.
See how taxonomy management based on SKOS can be extended with SKOS-XL, all based on W3C's Semantic Web standards. See how SKOS-XL can be combined with ontologies like FIBO.
PoolParty's built in reference corpus analysis based on powerful text mining helps to continuously extend taxonomies. Its built-in co-occurence analysis supports taxonomists with the identification of candidate concepts.
PoolParty Semantic Integrator can be used for deep data analytics tasks and semantic search. See how this can be integrated with various graph databases and search engines.
PHP Workshop Notes
Put on by USC's Upsilon Pi Epsilon as part of Wonderful World of Web2.0 Workshop Series. http://pollux.usc.edu/~upe/
Recommended
Thought Vectors and Knowledge Graphs in AI-powered Search
While traditional keyword search is still useful, pure text-based keyword matching is quickly becoming obsolete; today, it is a necessary but not sufficient tool for delivering relevant results and intelligent search experiences.
In this talk, we'll cover some of the emerging trends in AI-powered search, including the use of thought vectors (multi-level vector embeddings) and semantic knowledge graphs to contextually interpret and conceptualize queries. We'll walk through some live query interpretation demos to demonstrate the power that can be delivered through these semantic search techniques leveraging auto-generated knowledge graphs learned from your content and user interactions.
How Graph Databases efficiently store, manage and query connected data at s...
Graph Databases try to make it easy for developers to leverage huge amounts of connected information for everything from routing to recommendations. Doing that poses a number of challenges on the implementation side. In this talk we want to look at the different storage, query and consistency approaches that are used behind the scenes. Weโll check out current and future solutions used in Neo4j and other graph databases for addressing global consistency, query and storage optimization, indexing and more and see which papers and research database developers take inspirations from.
Searching on Intent: Knowledge Graphs, Personalization, and Contextual Disamb...
Search engines frequently miss the mark when it comes to understanding user intent. This talk will walk through some of the key building blocks necessary to turn a search engine into a dynamically-learning "intent engine", able to interpret and search on meaning, not just keywords. We will walk through CareerBuilder's semantic search architecture, including semantic autocomplete, query and document interpretation, probabilistic query parsing, automatic taxonomy discovery, keyword disambiguation, and personalization based upon user context/behavior. We will also see how to leverage an inverted index (Lucene/Solr) as a knowledge graph that can be used as a dynamic ontology to extract phrases, understand and weight the semantic relationships between those phrases and known entities, and expand the query to include those additional conceptual relationships.
As an example, most search engines completely miss the mark at parsing a query like (Senior Java Developer Portland, OR Hadoop). We will show how to dynamically understand that "senior" designates an experience level, that "java developer" is a job title related to "software engineering", that "portland, or" is a city with a specific geographical boundary (as opposed to a keyword followed by a boolean operator), and that "hadoop" is the skill "Apache Hadoop", which is also related to other terms like "hbase", "hive", and "map/reduce". We will discuss how to train the search engine to parse the query into this intended understanding and how to reflect this understanding to the end user to provide an insightful, augmented search experience.
Topics: Semantic Search, Apache Solr, Finite State Transducers, Probabilistic Query Parsing, Bayes Theorem, Augmented Search, Recommendations, Query Disambiguation, NLP, Knowledge Graphs
Deep Neural Methods for Retrieval
Deep neural methods have recently demonstrated significant performance improvements in several IR tasks. In this lecture, we will present a brief overview of deep models for ranking and retrieval.
This is a follow-up lecture to "Neural Learning to Rank" (https://www.slideshare.net/BhaskarMitra3/neural-learning-to-rank-231759858)
The Apache Solr Semantic Knowledge Graph
What if instead of a query returning documents, you could alternatively return other keywords most related to the query: i.e. given a search for "data science", return me back results like "machine learning", "predictive modeling", "artificial neural networks", etc.? Solrโs Semantic Knowledge Graph does just that. It leverages the inverted index to automatically model the significance of relationships between every term in the inverted index (even across multiple fields) allowing real-time traversal and ranking of any relationship within your documents. Use cases for the Semantic Knowledge Graph include disambiguation of multiple meanings of terms (does "driver" mean truck driver, printer driver, a type of golf club, etc.), searching on vectors of related keywords to form a conceptual search (versus just a text match), powering recommendation algorithms, ranking lists of keywords based upon conceptual cohesion to reduce noise, summarizing documents by extracting their most significant terms, and numerous other applications involving anomaly detection, significance/relationship discovery, and semantic search. In this talk, we'll do a deep dive into the internals of how the Semantic Knowledge Graph works and will walk you through how to get up and running with an example dataset to explore the meaningful relationships hidden within your data.
Advanced Querying with CakePHP 3
CakePHP 3 comes with a new ORM. This talk starts with a short history of how this library came to be and then walk through a series of examples from beginner to advanced for using the Querying features of the ORM.
From SKOS over SKOS-XL to Custom Ontologies
This slidedeck is about PoolParty Semantic Suite (http://www.poolparty.biz/), especially about features included by releases 5.2 and 5.3.
See how taxonomy management based on SKOS can be extended with SKOS-XL, all based on W3C's Semantic Web standards. See how SKOS-XL can be combined with ontologies like FIBO.
PoolParty's built in reference corpus analysis based on powerful text mining helps to continuously extend taxonomies. Its built-in co-occurence analysis supports taxonomists with the identification of candidate concepts.
PoolParty Semantic Integrator can be used for deep data analytics tasks and semantic search. See how this can be integrated with various graph databases and search engines.
PHP Workshop Notes
Put on by USC's Upsilon Pi Epsilon as part of Wonderful World of Web2.0 Workshop Series. http://pollux.usc.edu/~upe/
RabbitMQ + CouchDB = Awesome
This document proposes a system using RabbitMQ and CouchDB to provide a scalable and flexible backend that can handle various frontends. RabbitMQ is used for messaging between daemons, while CouchDB is used to define and manage workflows and store persistent messages to allow asynchronous callbacks to continue workflows. The system addresses challenges of scaling, different frontends, cloud hosting, maintenance, asynchronous tasks, and message correlation.
Training Series - Intro to Neo4j
Heard about graph databases? Curious about what they are and how they work? Want to know where they're best used? Then this is the session for you!
In this workshop we will:
- Introduce you to graph databases
- Cover approaches for identifying graph-shaped problems
- Get our hands on our very first graph database experience where we will load and query data, using Neo4j Aura Free
We'll also cover what resources are available, and how to continue your graph journey.
The Web Is Changing โ From Strings to Things
The document contains JSON-LD markup describing a music event taking place on November 6, 2014 at The Worksmans Club in Dublin, Ireland, including details about the location and offers. It also includes snippets describing collections of attendees and classes of objects with supported properties.
Oracle APEX for Beginners
Mathias started to learn Oracle Application Express, and while learning we took notes what difficulties he had. This presentation goes over some concepts that were not clear for somebody coming from school with a specific background.
Using Graph and Transformer Embeddings for Vector Based Retrieval
For the longest time, term-based vector representations based on whole-document statistics, such as TF-IDF, have been the staple of efficient and effective information retrieval. The popularity of Deep Learning over the past decade has resulted in the development of many interesting embedding schemes. Like term-based vector representations, these embeddings depend on structure implicit in language and user behavior. Unlike them, they leverage the distributional hypothesis, which states that the meaning of a word is determined by the context in which it appears. These embeddings have been found to better encode the semantics of the word, compared to term-based representations. Despite this, it has only recently become practical to use embeddings in Information Retrieval at scale.
In this presentation, we will describe how we applied two new embedding schemes to Scopus, Elsevierโs broad coverage database of scientific, technical, and medical literature. Both schemes are based on the distributional hypothesis but come from very different backgrounds. The first embedding is a graph embedding called node2vec, that encodes papers using citation relationships between them as specified by their authors. The second embedding leverages Transformers, a recent innovation in the area of Deep Learning, that are essentially language models trained on large bodies of text. These two embeddings exploit the signal implicit in these data sources and produce semantically rich user and content-based vector representations respectively. We will evaluate these embedding schemes and describe how we used the Vespa search engine to search these embeddings for similar documents within the Scopus dataset. Finally, we will describe how RELX staff can access these embeddings for their own data science needs, independent of the search application.
CouchDB-Lucene
This document discusses integrating the Apache Lucene full-text search engine with CouchDB. It begins by explaining that while CouchDB supports basic search through MapReduce indexes, implementing a full search engine would require recreating existing work. Lucene is introduced as a high-performance search library that can be used with CouchDB through the couchdb-lucene integration. The document provides examples of Lucene index design documents, querying the index, and integrating search into a Ruby on Rails application with pagination.
Quick flask an intro to flask
A quick intro to using the Python micro framework Flask. Building a simple multiple page website from the ground up.
ShEx by Example
ShEx is a language for validating RDF data. It allows defining shapes that specify constraints on nodes and triples. ShEx expressions can be used to validate if RDF graphs conform to the defined shapes. The ShEx language is inspired by languages like RelaxNG and provides different serialization formats like ShExC, ShExJ, and ShExR. There are open-source implementations of ShEx validators in languages like JavaScript, Scala, Ruby, Python, and Java. ShEx provides a concise way to define RDF shapes and validate instance data against those shapes.
Pytest KT.pptx
This document provides an overview of Pytest features including that it is open source, supports command line usage and plugins. It discusses installing Pytest and setting up tests with naming conventions. Additionally, it covers running multiple tests, skipping tests, grouping tests and using fixtures to execute code before and after tests or once for all tests. Finally, it mentions assertions to validate results and using Pytest markers and parameterization.
E-Commerce search with Elasticsearch
Elasticsearch is a very flexible and useful search tool for any application. It helps to store data in multiple scopes, customize search relevance, collect statistics, and improve overall user experience. Let us see how Elasticsearch has been integrated with OroCommerce to improve E-Commerce flows and achieve better results. We will use the OroCommerce application to show real life use cases and how to implement them.
Python Flask Tutorial For Beginners | Flask Web Development Tutorial | Python...
This document provides an overview of Flask, a Python-based web application framework. It begins with an introduction to Flask, explaining what Flask is and its advantages like being open source with a large community. It then covers topics like installing Flask, creating Flask applications, routing, templates, static files, the request object, cookies, redirects and errors. It concludes by mentioning some popular Flask extensions that add additional functionality for tasks like email, forms, databases and AJAX. The document appears to be from an online training course on Flask and aims to teach the basics of how to use the Flask framework to build web applications.
JavaScript - Chapter 15 - Debugging Techniques
Debugging in JavaScript
It is common to have errors while writing codes and the errors can be due to syntax or logical. These errors create a lot of ambiguity in the logic and understanding of both users and programmers. There can also be errors in the code which can remain invisible to the programmerโs eye and can create havoc. To identify these errors we need Debuggers that can go through the entire code or program, identify the errors and also fix them.
-Debugger
The debugger keyword is used in the code to force stop the execution of the code at a breaking point and calls the debugging function. The debugger function is executed if any debugging is needed at all else no action is performed.
Baekjoon Online Judge 2873๋ฒ ํ์ด
The document discusses a problem on the Algorithm Competition site acmicpc.net. It references problem 2873 multiple times and includes notes about the problem involving moving from a starting point (1,1) to an end point (R,C) on a grid. It also includes brief mentions of the size of the grid being 2x2 and variables A and B.
Serving ML easily with FastAPI
This document discusses how FastAPI can be used to create web APIs for machine learning models. FastAPI allows ML developers to easily share models with colleagues by making them available as web APIs. It provides auto-generated documentation and supports features like validation, authentication, and file uploads that are useful for building ML APIs. FastAPI offers high performance and is easy to code, making it well-suited for both prototyping and production ML APIs.
MongoDB WiredTiger Internals
This presentation drills down into the architectural design of MongoDB's storage layer api and detailed view of WiredTiger.
Choose Your Weapon: Comparing Spark on FPGAs vs GPUs
Today, general-purpose CPU clusters are the most widely used environment for data analytics workloads. Recently, acceleration solutions employing field-programmable hardware have emerged providing cost, performance and power consumption advantages. Field programmable gate arrays (FPGAs) and graphics processing units (GPUs) are two leading technologies being applied. GPUs are well-known for high-performance dense-matrix, highly regular operations such as graphics processing and matrix manipulation. FPGAs are flexible in terms of programming architecture and are adept at providing performance for operations that contain conditionals and/or branches. These architectural differences have significant performance impacts, which manifest all the way up to the application layer. It is therefore critical that data scientists and engineers understand these impacts in order to inform decisions about if and how to accelerate.
This talk will characterize the architectural aspects of the two hardware types as applied to analytics, with the ultimate goal of informing the application programmer. Recently, both GPUs and FPGAs have been applied to Apache SparkSQL, via services on Amazon Web Services (AWS) cloud. These solutionsโ goal is providing Spark users high performance and cost savings. We first characterize the key aspects of the two hardware platforms. Based on this characterization, we examine and contrast the sets and types of SparkSQL operations they accelerate well, how they accelerate them, and the implications for the userโs application. Finally, we present and analyze a performance comparison of the two AWS solutions (one FPGA-based, one GPU-based). The tests employ the TPC-DS (decision support) benchmark suite, a widely used performance test for data analytics.
User guide edit a space
This user guide teaches how to edit Matterport spaces using Matterport Workshop to improve the user experience. Key steps include evaluating the space, making any necessary modifications in the Capture app, launching Workshop to hide scans, set the start position, take snapshots, and create guided tours. Workshops allows customizing spaces by adding posts, links, and measurements before publishing changes.
Questionnaire mm.doc
This document contains a business blueprint for procurement processes at a customer organization. It includes sections on the organization's procurement structure, master data requirements, and business processes for external procurement, procurement via subcontracting, internal procurement, pipeline processing, source administration, return deliveries, and outbound shipments. The blueprint provides details on key procurement activities like purchasing, goods receipt, warehouse management, transportation, and invoice processing.
Cdm presentation 10-2010
This document discusses CDM's inventory marketing solutions for dealerships. It promotes CDM's products and services which help dealers accelerate vehicle listings online, improve data accuracy, and provide useful reporting. The key products are DigitalLot Solution for capturing vehicle data, AutoOffice for online inventory management, and CDM Dealer Services for outsourced inventory marketing. These solutions aim to increase dealership sales by rapidly distributing vehicle listings to over 200 sites and integrating trusted Kelley Blue Book values.
Automotive
This document provides an overview of the key processes in SAP Dealer Business Management (DBM), including:
1. The vehicle sales process involving creating vehicle models and quotations, converting quotations to sales orders, fulfilling orders through inbound logistics and billing.
2. The parts sales process including parts order processing, delivery, billing, and cash desk functionality.
3. The vehicle service process from creating service quotations to processing orders, splitting orders, and billing.
4. The warranty process including maintaining master data, creating warranty service orders, splitting orders, and creating claims for reimbursement processing.
More Related Content
What's hot
RabbitMQ + CouchDB = Awesome
This document proposes a system using RabbitMQ and CouchDB to provide a scalable and flexible backend that can handle various frontends. RabbitMQ is used for messaging between daemons, while CouchDB is used to define and manage workflows and store persistent messages to allow asynchronous callbacks to continue workflows. The system addresses challenges of scaling, different frontends, cloud hosting, maintenance, asynchronous tasks, and message correlation.
Training Series - Intro to Neo4j
Heard about graph databases? Curious about what they are and how they work? Want to know where they're best used? Then this is the session for you!
In this workshop we will:
- Introduce you to graph databases
- Cover approaches for identifying graph-shaped problems
- Get our hands on our very first graph database experience where we will load and query data, using Neo4j Aura Free
We'll also cover what resources are available, and how to continue your graph journey.
The Web Is Changing โ From Strings to Things
The document contains JSON-LD markup describing a music event taking place on November 6, 2014 at The Worksmans Club in Dublin, Ireland, including details about the location and offers. It also includes snippets describing collections of attendees and classes of objects with supported properties.
Oracle APEX for Beginners
Mathias started to learn Oracle Application Express, and while learning we took notes what difficulties he had. This presentation goes over some concepts that were not clear for somebody coming from school with a specific background.
Using Graph and Transformer Embeddings for Vector Based Retrieval
For the longest time, term-based vector representations based on whole-document statistics, such as TF-IDF, have been the staple of efficient and effective information retrieval. The popularity of Deep Learning over the past decade has resulted in the development of many interesting embedding schemes. Like term-based vector representations, these embeddings depend on structure implicit in language and user behavior. Unlike them, they leverage the distributional hypothesis, which states that the meaning of a word is determined by the context in which it appears. These embeddings have been found to better encode the semantics of the word, compared to term-based representations. Despite this, it has only recently become practical to use embeddings in Information Retrieval at scale.
In this presentation, we will describe how we applied two new embedding schemes to Scopus, Elsevierโs broad coverage database of scientific, technical, and medical literature. Both schemes are based on the distributional hypothesis but come from very different backgrounds. The first embedding is a graph embedding called node2vec, that encodes papers using citation relationships between them as specified by their authors. The second embedding leverages Transformers, a recent innovation in the area of Deep Learning, that are essentially language models trained on large bodies of text. These two embeddings exploit the signal implicit in these data sources and produce semantically rich user and content-based vector representations respectively. We will evaluate these embedding schemes and describe how we used the Vespa search engine to search these embeddings for similar documents within the Scopus dataset. Finally, we will describe how RELX staff can access these embeddings for their own data science needs, independent of the search application.
CouchDB-Lucene
This document discusses integrating the Apache Lucene full-text search engine with CouchDB. It begins by explaining that while CouchDB supports basic search through MapReduce indexes, implementing a full search engine would require recreating existing work. Lucene is introduced as a high-performance search library that can be used with CouchDB through the couchdb-lucene integration. The document provides examples of Lucene index design documents, querying the index, and integrating search into a Ruby on Rails application with pagination.
Quick flask an intro to flask
A quick intro to using the Python micro framework Flask. Building a simple multiple page website from the ground up.
ShEx by Example
ShEx is a language for validating RDF data. It allows defining shapes that specify constraints on nodes and triples. ShEx expressions can be used to validate if RDF graphs conform to the defined shapes. The ShEx language is inspired by languages like RelaxNG and provides different serialization formats like ShExC, ShExJ, and ShExR. There are open-source implementations of ShEx validators in languages like JavaScript, Scala, Ruby, Python, and Java. ShEx provides a concise way to define RDF shapes and validate instance data against those shapes.
Pytest KT.pptx
This document provides an overview of Pytest features including that it is open source, supports command line usage and plugins. It discusses installing Pytest and setting up tests with naming conventions. Additionally, it covers running multiple tests, skipping tests, grouping tests and using fixtures to execute code before and after tests or once for all tests. Finally, it mentions assertions to validate results and using Pytest markers and parameterization.
E-Commerce search with Elasticsearch
Elasticsearch is a very flexible and useful search tool for any application. It helps to store data in multiple scopes, customize search relevance, collect statistics, and improve overall user experience. Let us see how Elasticsearch has been integrated with OroCommerce to improve E-Commerce flows and achieve better results. We will use the OroCommerce application to show real life use cases and how to implement them.
Python Flask Tutorial For Beginners | Flask Web Development Tutorial | Python...
This document provides an overview of Flask, a Python-based web application framework. It begins with an introduction to Flask, explaining what Flask is and its advantages like being open source with a large community. It then covers topics like installing Flask, creating Flask applications, routing, templates, static files, the request object, cookies, redirects and errors. It concludes by mentioning some popular Flask extensions that add additional functionality for tasks like email, forms, databases and AJAX. The document appears to be from an online training course on Flask and aims to teach the basics of how to use the Flask framework to build web applications.
JavaScript - Chapter 15 - Debugging Techniques
Debugging in JavaScript
It is common to have errors while writing codes and the errors can be due to syntax or logical. These errors create a lot of ambiguity in the logic and understanding of both users and programmers. There can also be errors in the code which can remain invisible to the programmerโs eye and can create havoc. To identify these errors we need Debuggers that can go through the entire code or program, identify the errors and also fix them.
-Debugger
The debugger keyword is used in the code to force stop the execution of the code at a breaking point and calls the debugging function. The debugger function is executed if any debugging is needed at all else no action is performed.
Baekjoon Online Judge 2873๋ฒ ํ์ด
The document discusses a problem on the Algorithm Competition site acmicpc.net. It references problem 2873 multiple times and includes notes about the problem involving moving from a starting point (1,1) to an end point (R,C) on a grid. It also includes brief mentions of the size of the grid being 2x2 and variables A and B.
Serving ML easily with FastAPI
This document discusses how FastAPI can be used to create web APIs for machine learning models. FastAPI allows ML developers to easily share models with colleagues by making them available as web APIs. It provides auto-generated documentation and supports features like validation, authentication, and file uploads that are useful for building ML APIs. FastAPI offers high performance and is easy to code, making it well-suited for both prototyping and production ML APIs.
MongoDB WiredTiger Internals
This presentation drills down into the architectural design of MongoDB's storage layer api and detailed view of WiredTiger.
Choose Your Weapon: Comparing Spark on FPGAs vs GPUs
Today, general-purpose CPU clusters are the most widely used environment for data analytics workloads. Recently, acceleration solutions employing field-programmable hardware have emerged providing cost, performance and power consumption advantages. Field programmable gate arrays (FPGAs) and graphics processing units (GPUs) are two leading technologies being applied. GPUs are well-known for high-performance dense-matrix, highly regular operations such as graphics processing and matrix manipulation. FPGAs are flexible in terms of programming architecture and are adept at providing performance for operations that contain conditionals and/or branches. These architectural differences have significant performance impacts, which manifest all the way up to the application layer. It is therefore critical that data scientists and engineers understand these impacts in order to inform decisions about if and how to accelerate.
This talk will characterize the architectural aspects of the two hardware types as applied to analytics, with the ultimate goal of informing the application programmer. Recently, both GPUs and FPGAs have been applied to Apache SparkSQL, via services on Amazon Web Services (AWS) cloud. These solutionsโ goal is providing Spark users high performance and cost savings. We first characterize the key aspects of the two hardware platforms. Based on this characterization, we examine and contrast the sets and types of SparkSQL operations they accelerate well, how they accelerate them, and the implications for the userโs application. Finally, we present and analyze a performance comparison of the two AWS solutions (one FPGA-based, one GPU-based). The tests employ the TPC-DS (decision support) benchmark suite, a widely used performance test for data analytics.
User guide edit a space
This user guide teaches how to edit Matterport spaces using Matterport Workshop to improve the user experience. Key steps include evaluating the space, making any necessary modifications in the Capture app, launching Workshop to hide scans, set the start position, take snapshots, and create guided tours. Workshops allows customizing spaces by adding posts, links, and measurements before publishing changes.
What's hot (19)
Using Graph and Transformer Embeddings for Vector Based Retrieval
Using Graph and Transformer Embeddings for Vector Based Retrieval
ย
Python Flask Tutorial For Beginners | Flask Web Development Tutorial | Python...
Python Flask Tutorial For Beginners | Flask Web Development Tutorial | Python...
ย
HTMLใใถใคใณใๅดฉใใชใใใณใใฌใผใใจใณใธใณใฎไฝใๆน
HTMLใใถใคใณใๅดฉใใชใใใณใใฌใผใใจใณใธใณใฎไฝใๆน
ย
Choose Your Weapon: Comparing Spark on FPGAs vs GPUs
Choose Your Weapon: Comparing Spark on FPGAs vs GPUs
ย
Similar to Bike manufacturer
Questionnaire mm.doc
This document contains a business blueprint for procurement processes at a customer organization. It includes sections on the organization's procurement structure, master data requirements, and business processes for external procurement, procurement via subcontracting, internal procurement, pipeline processing, source administration, return deliveries, and outbound shipments. The blueprint provides details on key procurement activities like purchasing, goods receipt, warehouse management, transportation, and invoice processing.
Cdm presentation 10-2010
This document discusses CDM's inventory marketing solutions for dealerships. It promotes CDM's products and services which help dealers accelerate vehicle listings online, improve data accuracy, and provide useful reporting. The key products are DigitalLot Solution for capturing vehicle data, AutoOffice for online inventory management, and CDM Dealer Services for outsourced inventory marketing. These solutions aim to increase dealership sales by rapidly distributing vehicle listings to over 200 sites and integrating trusted Kelley Blue Book values.
Automotive
This document provides an overview of the key processes in SAP Dealer Business Management (DBM), including:
1. The vehicle sales process involving creating vehicle models and quotations, converting quotations to sales orders, fulfilling orders through inbound logistics and billing.
2. The parts sales process including parts order processing, delivery, billing, and cash desk functionality.
3. The vehicle service process from creating service quotations to processing orders, splitting orders, and billing.
4. The warranty process including maintaining master data, creating warranty service orders, splitting orders, and creating claims for reimbursement processing.
Investment casting details
C3P Engineering Software International Co. develops CAX software solutions for manufacturing processes. Its authorized distributor, Auto-Design-Online, provides training and engineering services on CAD-CAE software, including C3P's casting and stamping simulation software. The software allows users to simulate mold filling, solidification, cooling rates and other factors for various casting and stamping processes. Auto-Design-Online demonstrates how to use the software through examples of simulating metal flow for complex investment casting parts.
8 keys to success for the digital tyre & rim business with a wheel configurator
The transformation in the European motor vehicle aftermarket also poses great challenges to the tyre business: Whether it is due to digitalisation, new business
models, or new players such as insurance agencies or motoring organisations. Tyre retailers and manufacturers now need to prepare themselves for upcoming developments.
96 bdcoperationsmanualtemplate-101108221504-phpapp01
The document provides an overview of operations and procedures for a Business Development Center (BDC) at a car dealership. The BDC aims to generate sales appointments and maintain customer relationships. It outlines the BDC structure and key roles. Major processes described include handling inbound phone calls and internet leads, scheduling test drives, and following up with customers. Metrics like appointments set and sales conversions are also discussed.
MJ PLM 2017
The document discusses introducing product lifecycle management (PLM) in Formula 1 racing. It describes the challenges of frequent design changes and tight development timelines in F1. Implementing a PLM approach could help maximize efficiency through joined-up engineering across departments. The summary identifies obstacles to a PLM approach, such as traditional organizational silos, and steps to prepare for PLM, including strategic planning, new design technologies, and configuration control.
Order Engineering Processes
The document describes three processes related to presales site surveys and feasibility studies for new and existing customer sites. The Presales Site Survey & Feasibility Study process involves conducting a site survey, assessing feasibility, designing network elements, and implementing the service if approved. The After Sales Site Survey & Feasibility Study process is similar but for existing customer sites. The Perform Feasibility Study process includes assessing time and scope, calculating return on investment, and obtaining appropriate approvals before accepting or rejecting customer requests.
CitNOW Newsletter - February 2014
The document provides an update on CitNOW, a software system for car dealerships. It includes the following key points:
1. It summarizes new features of CitNOW over the last 6 months to ensure dealers are informed of updates.
2. It highlights top-performing CitNOW users, including sales executives and technicians producing dozens to hundreds of videos per month, and tips on how managers can encourage use.
3. It announces 18 new dealer locations that have recently started using CitNOW, including several Audi, Lexus, Porsche, BMW and Honda dealerships.
FSBO - Web-Based WorkFlow Document Sample
The document discusses planned improvements to Mota's FSBO (For Sale By Owner) website for Release 1.5 in July 2007. It overviews the seller registration and vehicle listing process which involves 8 steps from landing page to auto biography creation to pricing. Key improvements include redesigning the landing and value proposition pages, adding a dynamic pricing module, clarifying the optional voice recording step, and upgrading overall page layouts and designs while keeping the existing color scheme. A business requirements spec for the MyMota seller portal has also been produced.
Homebuilder touch points
The document outlines the key customer touch points and technology needs for a homebuilder across the customer lifecycle, including web visits, sales office visits, the build cycle, closing, and warranty periods. It describes the business events that occur at each stage such as initial contact, converting leads to sales, applying for financing, building the home, closing on the loan, and addressing customer requests after closing. Technology needs at each stage include CRM, scheduling, contracting, and customer relationship management tools.
Tipping Point for CRE Tech - Brandon Weber, VTS
Chief Product Officer, Brandon Weber of VTS presentation from the IREM Asset & Property Management Symposium
Automotive digital advertising for car dealers v4
This document summarizes a presentation given at the Digital Advertising Dealer Summit on November 18, 2008. It introduces several speakers who discuss best practices in digital advertising and lead management for auto dealerships. Specific topics covered include the use of search engine advertising, display ads, and radio ads on platforms like Google AdWords and Google Audio. Case studies are presented showing how dealerships have increased leads, sales, and revenue through digital advertising strategies. Metrics for measuring the effectiveness of digital advertising campaigns are also discussed.
Automotive digital advertising for car dealers v4
Automotive digital advertising for car dealers v4Automotive Digital Marketing Professional Community
This document summarizes a presentation given at the Digital Advertising Dealer Summit on November 18, 2008. It introduces several speakers who will discuss best practices in digital advertising and lead management. It also provides an overview of the current state of digital advertising, how dealers can implement digital advertising strategies, and metrics to measure the success of digital advertising campaigns. Key topics covered include the growth of digital advertising spending, how consumers now research vehicles online, and approaches for dealers to set up their own digital advertising or work with partners to implement turn-key solutions.ย
Automotive Digital Advertising for Car Dealers
This document summarizes a presentation given at a digital advertising dealer summit. It discusses several speakers who shared their expertise in topics like digital marketing best practices, lead management, and metrics. It also outlines the OEM's three-tiered approach to digital advertising for dealers, including do-it-yourself options, setup and training, and turnkey solutions. Key performance metrics for digital advertising campaigns like impressions, clicks, leads, and vehicle sales are also reviewed.
Automotive Digital Advertising for Car Dealers
Automotive Digital Advertising for Car Dealers...
For more information on various services available for car dealers, visit http://www.SocialAutoSales.com and join the online network set up by Ralph's ADP Social Media Reputation Management Team at http://www.ADPsocial.com
Concept Development - Digital Marketing & Sales Tool 2017
1. The document describes an online sales tool for automotive dealers that aims to visualize the sales process, improve sales management, and increase productivity.
2. Key features of the tool include modules for customer information management, car ordering and pricing estimates, online sales process management, sales training through an academy, and financial product information.
3. The tool allows auto makers and dealers to share customer information and provides functions for tasks like updating customer and deal statuses, developing sales prospects, and tracking contact history.
Similar to Bike manufacturer (17)
8 keys to success for the digital tyre & rim business with a wheel configurator
8 keys to success for the digital tyre & rim business with a wheel configurator
ย
96 bdcoperationsmanualtemplate-101108221504-phpapp01
96 bdcoperationsmanualtemplate-101108221504-phpapp01
ย
Concept Development - Digital Marketing & Sales Tool 2017
Concept Development - Digital Marketing & Sales Tool 2017
ย
More from Danny Gaethofs
Danny Gaethofs Profile - D365 - SAP Solution Leader.pdf
Sr. Business Solution Manager & Technology Leader guiding and leading digital transformation initiatives in manufacturing and retail companies from idea to operation spanning whole enterprises and supply chains.
Danny has a strong background in Supply Chain Management, Manufacturing, Logistics and Distribution, Field Service, Warehousing, Business Analysis, Application Integration and EDI, Solution Design.
He has experience working with international retail and manufacturing companies such as Philips, ASML, M&G Group, Van Wijhe Verf, Coulisse, Duravent Group.
CV Danny Gaethofs v22.pdf
Business Transformation Manager & Technology Leader die digitale transformatie-initiatieven in de productie en detailhandel begeleidt en leidt, van idee tot operatie, die hele ondernemingen en hun toeleveringsketens omvat.
๐ Gepassioneerd door technologisch complexe en organisatiegevoelige zakelijke uitdagingen, het samenbrengen van bedrijven en het innoveren van processen, informatiestromen en systemen.
๐ Bewezen successen, geworteld in strategie en voorbereiding, in het tonen van persoonlijke verantwoordelijkheid en aansprakelijkheid, weten wat werkt en het naleven van principes die de beste oplossingen opleveren.
๐ Sterke achtergrond en diepgaande kennis van D365 Finance & Supply Chain, SAP (EDI, Sales, Inkoop), QAD ERP (eCommerce, EDI, Sales, Logistics & Distribution, Inkoop, Manufacturing) verkregen uit ervaring
Beschikbaar vanaf het begin van de Nieuwjaar.
Vrolijk kerstfeest en een gelukkig nieuw jaar!
Danny Gaethofs
CIONET - De Toekomst van ERP is Open - final - update 10-8-23.pdf
Report of the CIONET meeting "The Future of ERP is Open" from June 2022
CIONET - De Toekomst van ERP is Open - final - update 10-8-23.ppsx
Report of the CIONET meeting "The Future of ERP is Open" from June 2022
Product Creation & Classification Process
The document outlines the product creation process for a new HVAC manufacturer. It involves three main departments: the research and development department designs and tests the product; the marketing department evaluates market needs and launches the product; and the internal sales department releases product details and begins accepting orders. The process includes developing prototypes, conducting performance tests, finalizing the production design, and transmitting product data to external partners through a PLM system.
Business Process Modeling and Automation - Food for Thoughts
Food for Thoughts = no need for more insight, we are doing just fine, complying with all regulations and running smoothly.
The presentation I gave today triggered an interesting discussion showing the reluctance of companies for Business Process Management.
My only goal was to explain how getting more insight in business processes already improves the business values: efficiency, effectiveness and agility - whether you want it or not.
History bpmn tools based on Signavio - Oryx Academic Initiative
The document discusses the history and influence of Signavio - Oryx on business process modeling tools. It notes that Signavio started as the Signavio - Oryx Academic Initiative in 2006 at the Hasso Plattner Institute. Over time, Signavio developed additional products like the Oryx designer and acquired other BPM tools, becoming a major player in the BPM software industry.
Danga process driven applications
Process Driven Information Systems, the current reality
Breaking the hype into the realm of real business strengths
Bizz box โ the e networking hub
The document describes BizzBox, an e-networking hub that enables seamless information exchange and integrated business processes between enterprises. BizzBox acts as an integration service provider, allowing different enterprises to connect and exchange business documents electronically through a common information and process model. This provides world-wide, business-wide, and system-wide interoperability in a way that is more affordable and scalable than traditional point-to-point connections between individual enterprises. BizzBox hides the underlying technology and standards complexity, allowing for simplified and flexible connections across business verticals and partnerships.
Danga Back-to-Back ordering & invoicing
The document discusses intercompany and intracompany ordering and invoicing processes in SAP. It describes different shipment modes including direct delivery and transhipment. It outlines the standard SAP process flows and EDI support for different scenarios including direct delivery using one or two SAP systems, transhipment, production oriented ordering, and intracompany transactions.
E Business Networking Hub Offering
Danny Gaethofs is an expert in designing and implementing electronic business integration solutions with over 20 years of experience. He advises companies on strategies for electronic ordering, invoicing, and collaboration with trading partners. Danny founded the Electronic Business community and developed the concept of an electronic business highway to enable widespread information exchange across industries using open standards.
The New Approach For Bringing Adoption Of E Invoicing By Sm Es To The Next Le...
Bringing adoption of the new VAT directives to the next level requires a mind shift of Tax Authorities, internal and external Tax Auditors, Businesses and Solution / Service Providers.
They all need to consider and establish a new "Compliant e-Business (e-Invoicing) approach" with less focus on the processes and technologies used (technologically neutral) but more on the end-to-end-trade process.
Compliant P2 P O2 C Processes V9 1 A Ubl Dev
The document describes four key e-business processes: purchase order, distribution, billing/invoicing, and payment. It also outlines the standard audit file for tax purposes (SAF-T) format and how it supports authenticity and integrity requirements. Finally, it provides diagrams showing the steps and information flows for compliant purchase-to-pay and order-to-cash processes for both product inventory and staffing of hourly workers.
E-Invoice Gateway: Helmut Aschbacher, Stefan Engel-Flechsig
E-Invoice Gateway: Helmut Aschbacher, Stefan Engel-Flechsig
Presentation from Helmut Aschbacher, given on the 4th CEN Conference on e-invoicing from 18 June 2009 in Brussel.
Interconnection of Service Providers - Ahti Allikas & Jari Salo
Interconnection of Service Providers
Presentation from Ahti Allikas & Jari Salo, given on the 4th CEN Conference on e-invoicing from 18 June 2009 in Brussel.
Emerging Technologies and Business Processes โ Anders Grangard & Adrian Mueller
Emerging Technologies and Business Processes
Presentation from Anders Grangard & Adrian Mueller, given on the 4th CEN Conference on e-invoicing from 18 June 2009 in Brussel.
Overview on Compliance of Electronic Invoices - Joost Kuipers
Overview on Compliance of Electronic Invoices.
Presentation from Joost Kuipers, given on the 4th CEN Conference on e-invoicing from 18 June 2009 in Brussel.
Trends & Developments in e-Business (Hannes Selhofer, Empirica)
Trends & Developments in e-Business
Presentation from Hannes Selhofer, Empirica, given on the 4th CEN Conference on e-invoicing from 18 June 2009 in Brussel.
More from Danny Gaethofs (20)
Danny Gaethofs Profile - D365 - SAP Solution Leader.pdf
Danny Gaethofs Profile - D365 - SAP Solution Leader.pdf
ย
CIONET - De Toekomst van ERP is Open - final - update 10-8-23.pdf
CIONET - De Toekomst van ERP is Open - final - update 10-8-23.pdf
ย
CIONET - De Toekomst van ERP is Open - final - update 10-8-23.ppsx
CIONET - De Toekomst van ERP is Open - final - update 10-8-23.ppsx
ย
Business Process Modeling and Automation - Food for Thoughts
Business Process Modeling and Automation - Food for Thoughts
ย
History bpmn tools based on Signavio - Oryx Academic Initiative
History bpmn tools based on Signavio - Oryx Academic Initiative
ย
De toekomst van gegevensuitwisseling in de bouw en installatiesector
De toekomst van gegevensuitwisseling in de bouw en installatiesector
ย
Inter-enterprise-buziness-hub-slideshare-presentation
Inter-enterprise-buziness-hub-slideshare-presentation
ย
The New Approach For Bringing Adoption Of E Invoicing By Sm Es To The Next Le...
The New Approach For Bringing Adoption Of E Invoicing By Sm Es To The Next Le...
ย
E-Invoice Gateway: Helmut Aschbacher, Stefan Engel-Flechsig
E-Invoice Gateway: Helmut Aschbacher, Stefan Engel-Flechsig
ย
Interconnection of Service Providers - Ahti Allikas & Jari Salo
Interconnection of Service Providers - Ahti Allikas & Jari Salo
ย
Emerging Technologies and Business Processes โ Anders Grangard & Adrian Mueller
Emerging Technologies and Business Processes โ Anders Grangard & Adrian Mueller
ย
Overview on Compliance of Electronic Invoices - Joost Kuipers
Overview on Compliance of Electronic Invoices - Joost Kuipers
ย
Trends & Developments in e-Business (Hannes Selhofer, Empirica)
Trends & Developments in e-Business (Hannes Selhofer, Empirica)
ย
Recently uploaded
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART INDIA MATKA KALYAN SATTA MATKA 420 INDIAN MATKA SATTA KING MATKA FIX JODI FIX FIX FIX SATTA NAMBAR MATKA INDIA SATTA BATTA
High-Quality IPTV Monthly Subscription for $15
Experience high-quality entertainment with our IPTV monthly subscription for just $15. Access a vast array of live TV channels, movies, and on-demand shows with crystal-clear streaming. Our reliable service ensures smooth, uninterrupted viewing at an unbeatable price. Perfect for those seeking premium content without breaking the bank. Start streaming today!
https://rb.gy/f409dk
Kirill Klip GEM Royalty TNR Gold Lithium Presentation
Lithium Will Power Us For The Next 50 Years And Then Robots: Kirill Klip GEM Royalty TNR Gold Lithium Presentation
Prescriptive analytics BA4206 Anna University PPT
Business analysis - Prescriptive analytics Introduction to Prescriptive analytics
Prescriptive Modeling
Non Linear Optimization
Demonstrating Business Performance Improvement
ๆฌงๆดฒๆฏๆๆณจ-ๆฌงๆดฒๆฏๆๆณจๅคๅด็ๅฃ-ๆฌงๆดฒๆฏๆๆณจ็ๅฃapp|ใโ็ฝๅโ๐ac22.net๐โใ
ๆฌงๆดฒๆฏๆๆณจ-ๆฌงๆดฒๆฏๆๆณจๅคๅด็ๅฃ-ๆฌงๆดฒๆฏๆๆณจ็ๅฃapp|ใโ็ฝๅโ๐ac22.net๐โใconcepsionchomo153
ใโ็ฝๅโ๐ac22.net๐โใๆฌงๆดฒๆฏๆๆณจๆฏไฝ่ฒๅๅฝฉๅๅจ็บฟ่ตๅบไนไธ๏ผๅพ็ไบUKGC็ไธ้กน่ฎธๅฏใ ๆ็ซไนๅๆฏไธๅๅๅฝฉๅ
ฌๅธๅฐ40ๅฎถๅๅฝฉๅๅบ็ๅๅนถ็็ปๆ๏ผๅ
ฑๅๅๅปบไธๅฎถๅไธบๆฌงๆดฒๆฏๆๆณจ็ๅ
ฌๅธใ ๆฌงๆดฒๆฏๆๆณจๅจ็บฟ่ตๅบไธบๆธธๆ็ฑๅฅฝ่
ๆไพไบ300ๅค็งๆธธๆ๏ผๅ
ถไธญ200ๅค็ง่่ๆบ๏ผๅ
ถไปๆธธๆๅ
ๆฌไบๅไธ็น๏ผ่ฝฎ็๏ผ็ไบบ่ทๅฎๅ็ไบบ่ตๅบ็ญใย
Dpboss Matka Guessing Satta Matta Matka Kalyan panel Chart Indian Matka Dpbos...
Dpboss Matka Guessing Satta Matta Matka Kalyan panel Chart Indian Matka Dpbos...โโโโโโโโโโDpboss Matka Guessing Satta Matka Kalyan Chart Indian Matka
Sattamatka.satta.matka.satta matka.kalyan weekly chart.kalyan chart.kalyan jodi chart.kalyan penal chart.kalyan today.kalyan open.fix satta.fix fix fix Satta matka nambarย
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
1 Circular 003_2023 ISO 27001_2022 Transition Arrangments v3.pdf
1 Circular 003_2023 ISO 27001_2022 Transition Arrangments v3.pdf
AI Transformation Playbook: Thinking AI-First for Your Business
I dive into how businesses can stay competitive by integrating AI into their core processes. From identifying the right approach to building collaborative teams and recognizing common pitfalls, this guide has got you covered. AI transformation is a journey, and this playbook is here to help you navigate it successfully.
The latest Heat Pump Manual from Newentide
๐๐ง๐ฏ๐๐ข๐ฅ ๐ญ๐ก๐ ๐
๐ฎ๐ญ๐ฎ๐ซ๐ ๐จ๐ ๐๐ง๐๐ซ๐ ๐ฒ ๐๐๐๐ข๐๐ข๐๐ง๐๐ฒ ๐ฐ๐ข๐ญ๐ก ๐๐๐๐๐๐๐๐โ๐ฌ ๐๐๐ญ๐๐ฌ๐ญ ๐๐๐๐๐ซ๐ข๐ง๐ ๐ฌ
Explore the details in our newly released product manual, which showcases NEWNTIDE's advanced heat pump technologies. Delve into our energy-efficient and eco-friendly solutions tailored for diverse global markets.
The Most Inspiring Entrepreneurs to Follow in 2024.pdf
In a world where the potential of youth innovation remains vastly untouched, there emerges a guiding light in the form of Norm Goldstein, the Founder and CEO of EduNetwork Partners. His dedication to this cause has earned him recognition as a Congressional Leadership Award recipient.
8328958814KALYAN MATKA | MATKA RESULT | KALYAN
8328958814KALYAN MATKA | MATKA RESULT | KALYAN KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA
2024.06 CPMN Cambridge - Beyond Now-Next-Later.pdf
Slides presented by Phil Hornby, Founder and Director of "for product people", at Cambridge Product Management Network, on Monday 17th June 2024.
The Steadfast and Reliable Bull: Taurus Zodiac Sign
Explore the steadfast and reliable nature of the Taurus Zodiac Sign. Discover the personality traits, key dates, and horoscope insights that define the determined and practical Taurus, and learn how their grounded nature makes them the anchor of the zodiac.
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
Recently uploaded (20)
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
ย
Kirill Klip GEM Royalty TNR Gold Lithium Presentation
Kirill Klip GEM Royalty TNR Gold Lithium Presentation
ย
ๆฌงๆดฒๆฏๆๆณจ-ๆฌงๆดฒๆฏๆๆณจๅคๅด็ๅฃ-ๆฌงๆดฒๆฏๆๆณจ็ๅฃapp|ใโ็ฝๅโ๐ac22.net๐โใ
ๆฌงๆดฒๆฏๆๆณจ-ๆฌงๆดฒๆฏๆๆณจๅคๅด็ๅฃ-ๆฌงๆดฒๆฏๆๆณจ็ๅฃapp|ใโ็ฝๅโ๐ac22.net๐โใ
ย
Dpboss Matka Guessing Satta Matta Matka Kalyan panel Chart Indian Matka Dpbos...
Dpboss Matka Guessing Satta Matta Matka Kalyan panel Chart Indian Matka Dpbos...
ย
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
ย
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
ย
1 Circular 003_2023 ISO 27001_2022 Transition Arrangments v3.pdf
1 Circular 003_2023 ISO 27001_2022 Transition Arrangments v3.pdf
ย
Registered-Establishment-List-in-Uttarakhand-pdf.pdf
Registered-Establishment-List-in-Uttarakhand-pdf.pdf
ย
AI Transformation Playbook: Thinking AI-First for Your Business
AI Transformation Playbook: Thinking AI-First for Your Business
ย
The Most Inspiring Entrepreneurs to Follow in 2024.pdf
The Most Inspiring Entrepreneurs to Follow in 2024.pdf
ย
2024.06 CPMN Cambridge - Beyond Now-Next-Later.pdf
2024.06 CPMN Cambridge - Beyond Now-Next-Later.pdf
ย
The Steadfast and Reliable Bull: Taurus Zodiac Sign
The Steadfast and Reliable Bull: Taurus Zodiac Sign
ย
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
ย
Bike manufacturer
- 1. bike manufacturer quote to cash process Authors: ย Danny Gaethofs Publishing date: ย not yet published Page: ย 1ย ofย 2 Bike Manufacturer Sales Dept SalesDept process quotation request RFQreceivedviaEDI RFQreceivedviawebform RFQreceivedbyemail RFQreceivedbyfaxmessage RFQ received RFQ quote sent quote orderhandling process salesBOM bike configuration bike configuration sent confirmation sent salesorder Information Systems InformationSystems CPQ-CRMorderingsystemaccountingsystemWMSmanufacturingsystem Manufacturing Dept ManufacturingDept bike manufacturing process manufacturing BOM workorderrouting bike finished Warehouse Dept WarehouseDept pick,packand shipbike picklistdelivery shipment deliverynote sent Finance Dept FinanceDept accounting process invoice payment reconciliation invoice customer carrier confirmation quote+configuration request shipment deliverynoteinvoicepayment
- 2. bike manufacturing process Authors: ย Danny Gaethofs Publishing date: ย not yet published Page: ย 2ย ofย 2 Manufacturer Operations Dept OperationsDept creatework order salesorder salesBOM manufacturing BOM routingworkorder created material requirements planning Warehouse Dept WarehouseDept Receive components Brakes [available] Frame [available] Tires [available] Saddle [available] Purchasing Dept PurchasingDept Ordertires Tires ordered Orderframe Ordersaddle Frame ordered Saddle ordered Orderbrakes Brakes ordered Assembling Dept AssemblingDept Manufacturebike Bike ready