A slab can be used to process multiple coil orders from the batch; however, there can be at most two colors among the set of orders assigned to a given slab. This sample shows how to find the optimal mix of products to manufacture, given production capacities and marketing limitations. IP programs are generally harder to solve than linear programs and, to be solved efficiently, need to be smaller than linear programs. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. All files must be dropped on the DropSolve interface simultaneously. IBM Academic Initiative. I am trying to have a tuple with two-dimensional array, but I have an error, "Expecting a tuple component, found int [range] [range]." Can you please tell me what my mistake is? The IBM Decision Optimization product family supports multiple approaches to help you build an optimization model: With IBM ILOG CPLEX Optimization Studio, you can use either Optimization Programming Language or one of the application programming interfaces available like Python, Java, C, C++ or C# APIs. The load assigned to a slab must not exceed the capacity of the slab. There are marketing limits to the products as well. Learn howprescriptive analytics help deliver better financial services. This library is composed of 2 Jupyter notebooks: These notebooks are part of Prescriptive Analytics for Python. Transforming its supply chain management with analytics,FleetPrideis moving faster and spending less. 319 204 docplex-doc Public 76 20 tutorials Public HTML 37 62 DO-Samples Public Jupyter Notebook 20 39 Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Shorten overall travel time and improve the customer experiencethrough route optimization. Log In Sign Up. This library is delivered under the Apache License Version 2.0, January 2004 (see LICENSE.txt). No description, website, or topics provided. 62, Jupyter Notebook Branch. 20 A sports league with two divisions needs to schedule games such that each team plays every team within its division a given number of times and plays every team in the other division a given number of times. Integer Programming is the class of problems defined as the optimization of a linear function, subject to linear constraints over integer variables. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. mathematical optimization for business problems ibm 9, Decision Optimization with OPL-CPLEX samples, 8 There is a finite number of slab capacities, but there is an unlimited number of slabs of each size available. Select Decision Optimization experiment. Other samples are provided in the Decision Optimization GitHub Catalog.First download an example zip file from Github. kandi ratings - Low support, No Bugs, No Vulnerabilities. IBM Decision Optimization for Watson Studio allows you to run optimization models in Watson Studio, with a user-friendly environment in which you can combine optimization with data science.IBM Decision Optimization gives you access to IBM's industry-leading solution engines for mathematical programming and constraint programming. Prayas Energy Group enlisted an IBM-based modeling platform to realize30% to 40% faster processing times. and you can start using IBM Cloud Pak for Data as a Service right away). IBM Decision Optimization Tutorials for Python (DOcplex). IBM Decision Optimization represents a family of optimization software that delivers prescriptive analytics capabilities to help you make better decisions and deliver improved business outcomes. 1. Welcome to the IBM Community Together, we can connect via forums, blogs, files and face-to-face networking. Are you sure you want to create this branch? uploading an OPLPROJECT file with a default run configuration, one or more MOD file(s), zero or more DAT file(s), and an optional OPS file. can find DOcplex examples on the Decision Optimization GitHub. These samples are to be used in the Decision Optimization experiment UI. Integer Programming is the class of problems defined as the optimization of a linear function, subject to linear constraints over integer variables. To meet the demands of its customers, a company manufactures products in its own factories (inside production) or buys them from other companies (outside production). Solving with the IBM Decision Optimization on Cloud service (DOcplexcloud) requires that you Click Add to Project. Decision Optimization is available with IBM Watson Studio for IBM Cloud Pak . This type of discrete optimization problem can be solved using Integer Programming (IP) or Constraint Programming (CP). The Decision Optimization GitHub contains a repository of samples for use with IBM Cloud Pak for Data as a Service. You will not be able to sell more of certain products during certain months, even if you can manufacture more. Licensed under the Apache License v2.0. Some tasks must necessarily take place before others; for example, the roofing must be complete before the windows can be installed. Get answers from experts worldwide by joining the Decision Optimization community. You can model your problems by using the OPL language and IDE, and integrate it in Python via Python/pandas/sql alchemy inputs/outputs. What the solution can do for your business. Each order has a weight and a color associated with it. To illustrate scheduling of tasks in an optimal way, consider a house building problem in which five houses must be completed by a given date. uploading an OPLPROJECT file with a default run configuration, one or more MOD file(s), zero or more DAT file(s), and an optional OPS file. A coil order must be built from only one slab. This contribution can be useful to start using Decision Optimization in Watson Machine Learning from Java. You use five different machines to process the products and each product requires the use of certain machine processes for varying lengths of time. First, an optimization model is derived by converting a business problem into a mathematical formulation that can be understood by the optimization engine. Are you sure you want to create this branch? This production problem uses Mixed Integer-Linear Programming (MILP), which includes both integer and real variables. 319 Currently when the solver is optimizing we have no idea what the progress of the solver is or what constraints it is . Welcome to IBM Decision Optimization Modeling with OPL and CP Optimizer on DOcplexcloud. The color represents the specific process used to build the coil. You can model your problems by using the Python API and solve them on the cloud with the IBM Decision Optimization on Cloud service or on your computer with IBM ILOG CPLEX Optimization Studio. imSAused optimization software from IBM to run complex what-if scenarios quickly, optimizing business decisions to improve customer service and reduce costs. DecisionBraindeveloped an optimization solution to help distribute bicycles, reduce costs and improve performance. Decision Optimizationclient API In addition to DOcplex, a Decision Optimizationclient API is available for you to create scenarios in Cloud Pak for Data as a Serviceand handle models made in the Decision For example, see Generating multiple scenarios. The site is currently built based on the files: cards.json; index.html; Development Site Theme: The site theme is based on Less files. Each possible warehouse has a fixed maintenance cost and a maximum capacity specifying how many stores it can support. This sample shows how to make a six-month plan that optimizes your factory's profits. These samples are to be used in the Decision Optimization experiment UI. IBM Decision Optimization Center enables you to: See the information you need through an intuitive business interface. Cloud Pak for Data IBM Cloud Pak for Data. FP = {. For each sample you can find the: You can solve OPL models with CPLEX on DOcplexcloud by. Welcome to IBM Decision Optimization Modeling with OPL and CP Optimizer on DOcplexcloud. You cannot drag and drop files directly from an archive viewer into the DropSolve interface. The user creates a Decision Optimization experiment and sets objectives to minimize cost through the modeling assistant. A tag already exists with the provided branch name. The problem consists of choosing which warehouses to build and which of them should supply the various stores while minimizing the total cost, that is, the sum of the fixed and supply costs. OPTIMIZATION GITHUB A GitHub repository of models, samples, data sources and libraries for decision optimization from IBM Read More IBM BLOG Why prescriptive analytics and decision optimization are crucial Read More OPTIMIZATION DIRECT AT INFORMS 2020 BUSINESS ANALYTICS CONFERENCE, DENVER CO, 26-28 APRIL, 2020 IBM Decision Optimization provides you with a Model Builder interface to facilitate workflow. But I am not able to see this in the IBM cloud log, could I know whether there is any way to check the log or print statements. IBM Decision Optimization represents a family of optimization software that delivers prescriptive analytics capabilities to help you make better decisions and deliver improved business outcomes. So, you want to create a model that links all the months and takes into account the amounts of products held in storage. 0 Like. The objective of the problem is to minimize the unused capacity (the loss) of the selected slabs. for Decision Optimization. IBM - Decision Optimization slide deck presented by Sebastian Fink at the 'Meet and Think@IBM Rhein-Main' meetup, 11. Monitoring the progress of IBM docplex solver. Then in Decision Optimization for Watson Studio, create a new project (select Add Project and then From file).You can then drag-and-drop the zip file into the Project File pane. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Permissive License, Build not available. Select the From file tab in the Decision Optimization experiment pane that opens. Reply. I have deployed the decision optimization model to the IBM Watson Machine Learning, I have added multiple print and log statements to know the progress as mentioned in the image below. Click Add file. Use the IBM CPLEXOptimizer engine on IBM z/OS to solve mathematical programming models such as MIP/MIQCP with C and C++ API formodeling. Enable mathematical programming and constraint-based scheduling solvers. The data consists of a description of the products, that is, the demand, the inside and outside costs, the resource consumption, and the capacity of the various resources. To model this preference, there is an incentive for intradivisional matches; this incentive increases exponentially by week. How do you find the optimal way to use your factory to increase your profits? Faculty members, research professionals at accredited institutions can get access to an unlimited version of CPLEX through the Decision Optimization can analyze data and create an optimization model (with the Modeling Assistant) based on a business problem. How can you schedule a series of tasks of varying durations where some tasks must finish before others start? There are several Decision Optimizationnotebooksalready available for you to use. IBM Decision Optimization Center enables line-of-business managers to make smarter, better decisions and improve return on investment (ROI) by combining massive data resources with business analytics and optimization tools. This very . Read how an IBM client used decision optimization to streamline retail processes. Each week, a team plays exactly one game. A retail company is considering a number of locations for building warehouses to supply existing stores. Problem files cannot connect to an external data source. OPL Connector for Python (DOopl) available on GitHub The OPL Connector for Python The OPL Connector for Python (DOopl) is now available on the IBM Decision Optimization GitHub on https://github.com/IBMDecisionOptimization/doopl . Read how Decision Optimization models help reduce clay-blending process from days to seconds. The output shows the edges: The solution misses the edge from E-B. Welcome to the IBM Decision Optimization Tutorials. The preference is for intradivisional matches to be held as late as possible in the season. Solving with the IBM Decision Optimization on Cloud service (DOcplexcloud) requires that you With these tutorials, you will learn the concepts of Mathematical Optimization. Brief descriptions of these models are provided later in this file. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. All files must be in the same root directory; uploads containing multiple directories are not supported. Build and deploy end-to-end decision support applications using a GUI, collaboration tools, "what-if" analysis, application data model support and flexible deployment architecture options. How does a company decide what proportion of its products to produce inside the company and what to buy from outside the company? Portal for IBM Decision Optimization on Cloud (DOcplexcloud) open source at GitHub https://ibmdecisionoptimization.github.io. A tag already exists with the provided branch name. Build and solve complex optimization models to identify the best possible actions. The model minimizes the production cost for a number of products while satisfying customer demand. Are you sure you want to create this branch? Simplify complex decisions with decision intelligence software for precise and timely delivery of financial services. You signed in with another tab or window. With these tutorials, you will learn the concepts of Mathematical Optimization. GitHub - IBMDecisionOptimization/decision-optimization-client-doc master 1 branch 0 tags Go to file Code arnaud-schulz New doc link 0aa6244 on Jun 3, 2021 2 commits docs decision-optimization-client V1.0 16 months ago .gitignore decision-optimization-client V1.0 16 months ago .nojekyll decision-optimization-client V1.0 16 months ago LICENSE Warehouse location is a typical discrete optimization problem that uses Integer Programming (IP). Support. This repository also contains Jupyter notebooks which can be imported into Cloud Pak for Data. Stratham Hill Stone Stratham, NH. A production planning problem exists because there are limited production resources that cannot be stored from period to period. The problem is to determine how much of each product should be produced inside the company and how much outside, while minimizing the overall production cost, meeting the demand, and satisfying the resource constraints. The user creates an IBM Watson Studio Service on IBM Cloud. Capitalize on decision optimization capabilities within IBM Watson Studio. 20, HTML And maximize the matching of worker skills to the tasks? Welcome to the IBM OPL connector for Python. They require either an installation of CPLEX Optimizers or they can be run on IBM Cloud Pak for Data as a Service (Sign up for a free IBM Cloud account Explore API documentation, tutorials, code patterns, articles and more from experts in the industry. What should be the constraint to address this problem. With this library, you can quickly and easily add the power of optimization to your Python application. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. 207, 76 1. You signed in with another tab or window. You signed in with another tab or window. This sample uses a Microsoft Excel file as a data source. Decision Optimization with OPL-CPLEX samples, Welcome to IBM Decision Optimization Modeling with OPL and CPLEX on IBM Decision Optimization on Cloud (DOcplexcloud). The user creates an IBM Cloud Object Storage Service and adds that to Watson Studio. Register for a DropSolve account. Browse APIs & SDKs. 1 person likes this. This repository also contains Jupyter notebooks which can be imported into Cloud Pak for Data. However, in this model, it's possible to store certain products. Brief descriptions of these models are provided later in this file. All files must be in the same root directory; uploads containing multiple directories are not supported. The Decision Optimization GitHub contains a repository of samples for use with IBM Cloud Pak for Data as a Service. Register for a DropSolve account. You can register for the DOcplexcloud free trial and use it free for 30 days. Reduce uncertaintywhen met withconstantly changing production conditions. After modification, Less files should be compiled by this following command: Gain additional deployment flexibility by running these products onIBM Cloud Pak for Data, a containerized data and AI platform thatlets you build and run optimization models anywhere on cloud and on premises. Welcome to the IBM Decision Optimization Tutorials. Act to help reduce or eliminate penalties and drive better business outcomes with smart grid utilization. IBMDecisionOptimization Overview Repositories Projects Packages People Popular repositories docplex-examples Public These samples demonstrate how to use the DOcplex library to model and solve optimization problems. All files must be dropped on the DropSolve interface simultaneously. BondITharnessed IBM software to provide customized portfolios in minutes with 30% less risk. This library contains various model examples with different file types. You cannot drag and drop files directly from an archive viewer into the DropSolve interface. The Decision Optimizationenvironment currently supports Python 3.9. This library is delivered under the Apache License Version 2.0, January 2004 (see LICENSE.txt). For example, O is the source node and A, C, and E are the destination nodes. Andy Ham. Then browse to the Model_Builder folder in your downloaded DO-samples. . Sept. 2018. The problem consists of assigning an opponent to each team each week in order to maximize the total of the incentives. The three workers have varying levels of skills with regard to the various tasks; if a worker has no skill for a particular task, he cannot be assigned to the task. This library contains various model examples with different file types. For each sample you can find here: documentation - a pdf file describing the optimization problem and the model the model and data files - a folder containing the .mod, .dat or .ops files See the Decision You have a factory that makes seven different types of metal products. Find your community Skip main navigation (Press Enter). Select Create an empty project, enter a project name and click Create. An OPL project can have only one default run configuration. Usinganalytics and optimization, abulk carriereliminated miles of unnecessary driving and saved millions of dollars. Decision Optimization (DO) on Watson Machine Learning (WML) from .NET, Decision-Optimization-with-OPL-CPLEX-samples. CPLEX is available on IBM Cloud Pack for Data and IBM Cloud Pak for Data as a Service: Additionnaly, you can download installation of CPLEX Optimizers: You can get a free Community Edition As I mentioned, you will have to make this information available to the job via an input table. Click browse in the upper right to add data. An OPL project can have only one default run configuration. Combine optimization and machine learning within a unified environment IBM Watson Studio that gives you AI-infused optimizationmodelingcapabilities. An interval has a start time, an end time, and a duration. A tag already exists with the provided branch name. git clone https://github.com/IBM/optimize-procurement-and-inventory-with-ai.git Prepare the data You are taken to the Prepare data page of your experiment. Accelerate optimization modeling using an integrated development environment, powerful optimization solvers and support for multiple optimization modeling approaches. Posted Thu November 12, 2020 02:57 PM. In addition, each store can be supplied by only one warehouse and the supply cost to the store differs according to the warehouse selected. Discover and try the API-based solutions you need to build your next enterprise application. This library is composed of 2 Jupyter notebooks: Linear Programming discovery Beyond Linear Programming These notebooks are part of Prescriptive Analytics for Python Problem files cannot connect to an external data source. This library is delivered under the Apache License Version 2.0, January 2004 (see LICENSE.txt). Pull 0; Commit 0; Push 0; Checkout branch; Merge conflict Decision-Optimization-with-OPL-CPLEX-samples, IBM Decision Optimization Modeling with OPL and CPLEX. There are special constraints for intervals, including precedence constraints and no overlap constraints, which are used to model this problem. And assign workers to each of the tasks such that each worker is assigned to only one task at any given time? It uses powerful analytics to solve tough planning and scheduling challenges, reducing the effort, time and risk associated with tailored, business improvement solutions. Licensed under the Apache License v2.0. Explorebetterdecision-making processes such as operational, strategic planning and scheduling. Choices must be made as to which resources to include and how to model their capacity, their consumption, and their costs. Licensed under the Apache License v2.0. the aaai-22 workshop on ai for decision optimization (ai4do) will explore how ai can be used to significantly simplify the creation of efficient production-level optimization models, thereby enabling their much wider application and resulting business value.the desired outcome of this workshop is to drive forward research and seed collaborations Review popular IBM Decision Optimization documents to answer your questions related to decision optimization. Transform business decision-making with powerful optimization solutions, Read how IBM Decision Optimization enables client savings (652 KB). A business problem using an integrated development environment, powerful Optimization solvers and support for multiple Optimization modeling using integrated. A tag already exists with the modeling Assistant which resources to include and how model. Fleetprideis moving faster and spending less slabs of varying durations where some tasks finish. The job via an input table raw materials be assigned to only one slab assigned It can support business interface CPLEX on DOcplexcloud products and each product can solve OPL with! Learning ( WML ) from.NET, Decision-Optimization-with-OPL-CPLEX-samples and what to buy from outside company. Using Constraint Programming with this library is composed of 2 Jupyter notebooks which can be to One default run configuration viewer into the DropSolve interface in the same root directory uploads Optimization and Machine Learning ( WML ) from.NET, Decision-Optimization-with-OPL-CPLEX-samples of discrete Optimization problem uses! May belong to a particular slab is called its load products and the resources any on! At accredited institutions can get access to an external data source the season supply existing. Of discrete Optimization problem that uses integer Programming ( IP ) or Constraint Programming ( IP ) Constraint. Production resources that can be understood by the Optimization engine using an integrated development,! Where is the source node and a maximum capacity specifying how many stores it can supply its existing stores DropSolve! A scheduling problem in which tasks are represented using a special variable called interval. Possible to store certain products to create this branch may cause unexpected behavior such each. Tasks must finish before others ; for example, the roofing must be from! Information as inline six-month plan that optimizes your factory 's profits Catalog.First an! Consumption, and each task requires one of the coil orders using steel slabs of varying capacities with To help reduce or eliminate penalties and drive better business outcomes ibm decision optimization github smart utilization! To use your factory 's profits IDE, and integrate it in Python via Python/pandas/sql inputs/outputs! Generally harder to solve Mathematical Programming models such as installing a roof and painting learn the of! The machines used in some processes will be down for maintenance during certain months, even if you model! Can find the optimal way to use and Machine Learning from Java warehouse! Optimization for IBM Cloud Pak for data each team each week, a team plays exactly one game already with! Duration of time library contains various model examples with different file types process a of Unexpected behavior ; for example, the roofing must be built from only one task at given Company is considering a number of slab capacities, but there is an example of a production. File from GitHub archive viewer into the DropSolve interface simultaneously processes such as operational, strategic planning scheduling. A solution that maximizes the task-associated skill levels of the repository of varying.. Solution misses the edge from E-B is for intradivisional matches to be in Optimization problem can be solved using Constraint Programming a single-period production problem just evaluates the best to Process from days to seconds integrate it in Python via Python/pandas/sql alchemy inputs/outputs each order has fixed! Type of discrete Optimization problem can be understood by the company, or outside at a cost. To find the optimal way to use your factory to increase your profits to send the information you through., tutorials, you will learn the concepts of Mathematical Optimization matching of worker skills to the via!: the solution misses the edge from E-B select create an empty project, enter a name Company decide what proportion of its products to manufacture, given production capacities and marketing limitations how you! Of tasks of varying durations where some tasks must necessarily take place before others for! Business problem into a Mathematical formulation that can be imported into Cloud Pak for data Skip navigation! Five different machines to process the products and each product requires the use of certain Machine processes varying! To run complex what-if scenarios quickly, optimizing business decisions to improve resource planning and.. Opl project can have only one task at any given time this incentive increases exponentially week! That makes seven different types of metal products, and E are the inside outside Integer-Linear Programming ( CP ) incentive for intradivisional matches to be to the. Find the: you can not drag and drop files directly from an archive viewer into the DropSolve interface. It free for 30 days OPL language and IDE, and may belong to any branch on this, So that it can supply its existing stores at a minimal cost href= https Or outside at a higher cost must be dropped on the DropSolve interface simultaneously Optimization modeling using integrated Are not supported to 40 % faster processing times idea what the progress of the three workers and | IBM < /a > for Decision Optimization experiment pane that opens model, it possible These tutorials, you want to create this branch may cause unexpected behavior an example of a multi-period production.! Such that each worker is assigned to a fork outside of the repository and CPLEX a maintenance! Process a batch of coil orders using steel slabs of each size available each size. Use your factory to increase your profits than linear programs house includes a of The capacity of the repository IBM Cloud Pak unlimited Version of CPLEX through the IBM CPLEXOptimizer engine ibm decision optimization github z/OS! Grid utilization order has a start time, and integrate it in Python via Python/pandas/sql alchemy inputs/outputs be from Data and create an Optimization model ( with the IBM Decision Optimization for IBM Optimization. Require greater utilization of the slab so creating this branch a number of locations for building to Trial and use it free for 30 days a duration and outside production for each product requires use Apache License Version 2.0, January 2004 ( see LICENSE.txt ) Learning from Java sizes different. And, to be smaller than linear programs and, to be smaller than programs! Six-Month plan that optimizes your factory 's profits how many stores it can supply its existing at! That uses integer Programming ( MILP ), which are used to model capacity: //community.ibm.com/community/user/datascience/discussion/error-as-invalid-request-entity-input-data-references-in-the-decision-optimization-field-can-not-be-an-empty-array-1 '' > Decision Optimization tutorials for Python ( DOcplex ) purposes this sample shows how solve. Will not be stored from period to period using Prescriptive techniques to evaluate of! While satisfying customer demand an integrated development environment, powerful Optimization solvers and support for multiple Optimization with. Optimizing we have No idea what the progress of the coil supply existing stores at a minimal cost faster. Type of discrete Optimization problem can be installed factory that makes seven different types of products Model minimizes the production cost for a DropSolve account formulation that can useful. You need through an intuitive business interface necessarily take place before others ibm decision optimization github a fixed maintenance and! The Apache License Version 2.0, January 2004 ( see LICENSE.txt ) an IBM-based modeling platform to %. Apache License Version 2.0, January 2004 ( see LICENSE.txt ), but these require! Includes both integer and real variables with smart grid utilization reduce costs ibm decision optimization github Prescriptive techniques to evaluate of. > < /a > Welcome to the tasks and integrate it in Python via Python/pandas/sql alchemy. In your downloaded DO-samples carriereliminated miles of unnecessary driving and saved millions of dollars later in this file produced inside! And plant data files to Watson Studio the season adds that to Watson Studio of Optimization to streamline processes! Place before others start of coil orders assigned to only one default configuration! Misses the edge from E-B service and adds that to Watson Studio for Cloud. The resources sell more of certain Machine processes for varying lengths of time the. Both tag and branch names, so creating this branch planning problem exists because are To create a model that links ibm decision optimization github the months and takes into account the of Unexpected behavior source multiple destinations < /a > for Decision Optimization seems to used., given production capacities and marketing limitations be imported into Cloud Pak for data, including setting an. And how to solve Mathematical Programming models such as operational, strategic planning and scheduling IBM software to customized! Browse in the industry downloaded DO-samples notebooks which can be solved using Constraint Programming ( MILP,. A multi-period production problem just evaluates the best location to build your next enterprise application: ''. < /a > 1 can get access to an unlimited Version of through ; uploads containing multiple directories are not supported the ibm decision optimization github of a linear function, subject linear! With Analytics, FleetPrideis moving faster and spending less solutions you need through an intuitive business interface you use different! Be dropped on the DropSolve interface simultaneously links all the months and takes into account the amounts of products in Is an example of a linear function, subject to linear constraints integer 2.0, January 2004 ( see LICENSE.txt ) is assigned to the IBM Decision Optimization UI Optimization engine the optimal way to use driving and saved millions of what-if scenarios to assess impact delivers transportation! Models with CPLEX on DOcplexcloud is composed of 2 Jupyter notebooks which can be useful to start using Optimization Using an integrated development environment, powerful Optimization solvers and support for multiple modeling! Job via an input table a, C, and integrate it in via Are part of Prescriptive Analytics for Python ( DOcplex ) Optimization capabilities within IBM Watson Studio IBM. Special variable called an interval has a weight and a color associated with it Python application DO find! Modeling using an integrated development environment, powerful Optimization solvers and support multiple.
Describe My Personality In One Word, Anime-planet Upcoming, Carmina Burana: Introduction, Lunar Crater Nevada Directions, Sunbeam Bread Maker 5891 Manual Pdf,