Abstract: In some examples, a distribution of values of a property of a given layer to be printed as part of three-dimensional (3D) printing is predicted, wherein the predicting is based on a distribution of values of the property in a previous layer that has been printed as part of the 3D printing. 3D printing of an object is controlled based on the predicted distribution of values of the property of the given layer.

Abstract: Examples disclosed herein relate to determining data usage effectiveness. A processor may determine data usage effectiveness information related to an entity's workflow based on workflow data collected related to the entity's operations and metrics determined based on the data. The determination may be based on a comparison of the information related to the entity's workflow to target workflow information and priority information associated with the target workflow information. The processor may output information related to the determined data usage effectiveness.

Abstract: Examples disclosed herein relate to selecting a 3D printing parameter based on voxel property association and conflict resolution. In one implementation, a processor assigns properties to a voxel of a 3D print object based on a first and second zone including the voxel and a condition of a first property associated with the first zone and a condition of a second property associated with the second zone. The processor may update the assigned properties to resolve conflicts between the properties and select a 3D printing parameter based on the assigned properties.

Abstract: An example technique for generating slice data from a voxel representation can include obtaining a shape specification of the 3-D object. The example technique for generating slice data from a voxel representation can also include obtaining a material specification of the 3-D object. The example technique for generating slice data from a voxel representation can also include merging the shape specification and the material specification to create a voxel representation of the 3-D object, wherein each voxel in the voxel representation includes a plurality of data types. The example technique for generating slice data from a voxel representation can also include generating slice data from the voxel representation, wherein the slice data provides a higher resolution than that provided by the voxel representation using the plurality of data types.

Abstract: A media binder has an inner assembly and a case assembly, The inner assembly includes inside boards pre-attached to a binding mechanism. Adhesive is placed on outward surfaces of the inside boards. The case assembly includes a cover sheet with at least one marginal edge attached to surface boards and at least one loose edge. To customize cover, a printed cover is inserted in-between the cover sheet and the surface board through an opening formed by the loose edge. The case assembly is then laminated. The laminated case assembly is combined with the inner assembly using the adhesive on the inside boards. A one-piece media binder has cover sheets wrapping around surface boards forming pockets. The surface boards are partially attached to paste downs. To customize cover, printed covers are inserted into the pockets, and the paste downs are then attached to the surface boards to seal loose edges.

Abstract: An example technique for generating slice data from a voxel representation can include obtaining a shape specification of the 3-D object. The example technique for generating slice data from a voxel representation can also include obtaining a material specification of the 3-D object. The example technique for generating slice data from a voxel representation can also include merging the shape specification and the material specification to create a voxel representation of the 3-D object, wherein each voxel in the voxel representation includes a plurality of data types. The example technique for generating slice data from a voxel representation can also include generating slice data from the voxel representation, wherein the slice data provides a higher resolution than that provided by the voxel representation using the plurality of data types.

Abstract: A user interface guides an interview of a print service provider (PSP) to generate interview data regarding the PSP. The interview data regarding the PSP is translated into simulation experiments regarding printing production services offerable by the PSP. The simulation results are concurrently executed to generate simulation results. The simulation results are synthesized to generate capacity planning analyses and recommendations for the PSP reviewable within the user interface.

Abstract: Systems and methods associated with resource provisioning are disclosed. One example method includes dividing a set of printing resources into a first partition and a second partition. The example method also includes provisioning the first partition to handle print jobs from a print queue that have a specified attribute. The first partition may be provisioned when print jobs having the specified attribute exceed a first predefined threshold.

Abstract: An example technique for generating slice data from the tree data structure representation of a three dimensional (3-D) object can include obtaining a shape specification of the 3-D object and obtaining a material specification of the 3-D object. The example technique for generating slice data from the tree data structure representation of a 3-D object can also include merging the shape specification and the material specification to create a tree data structure representation of the 3-D object. The example technique for generating slice data from the tree data structure representation of a 3-D object can also include generating slice data from the tree data structure.

Abstract: Examples herein disclose receiving a service request including a latency associated with a publication of a result of the service request. The examples disclose computing a workload for the service request and identifying multiple resources which are to perform the service request by applying the latency to the multiple resources.

Abstract: Scheduling of manufacturing jobs is described herein. In accordance with an example, the scheduling of manufacturing jobs includes obtaining an order parameter associated with a product to be manufactured on a manufacturing equipment set. A product dimension of an intermediate product for the product is determined based on the order parameter and a production attribute. Further, the manufacturing job is scheduled for the product amongst manufacturing jobs for other products to be manufactured on the manufacturing equipment set, based on the product dimension of the intermediate product and a scheduling criterion. The scheduling criterion can be a parameter to regulate the scheduling of the manufacturing jobs on the manufacturing equipment set.

Abstract: Determining compatible equipment in a manufacturing environment is disclosed. A method includes developing a list of compatible equipment for a manufacturing line to produce a product based on process information related to the product. The list of compatible equipment and a manufacturer constraint are modeled. Modeling includes at least one of developing manufacturing line scenarios, simulating the manufacturing line scenarios, and weighing the simulations against production metrics.

Abstract: Determining a payload estimate for a task in a process includes learning a payload control, storing a learned payload control in a database, and evaluating the payload estimate. Learning includes applying machine learning to process information to determine a learned payload control corresponding to the task in the process. Evaluating the payload estimate includes searching the database for a plurality of payload controls relevant to the task including the learned payload control, determining whether a condition of the learned payload control is met, and applying the payload control to determine the payload estimate using process information if the condition of the learned payload control is satisfied.

Abstract: A user interface (71) to a computing device (90) receives geographic locations for a plurality of production sites. A socio-economic relevancy analyzer (72) determines relevancy of socio-economic information for the plurality of production sites. A socio-economic events analyzer (73) performs analysis of potential effects of the socio-economic information obtained by the socio-economic event relevancy analyzer (72) as pertains to the plurality of production sites. A simulator (74) simulates production of each of the production sites. The simulator (74) utilizes analysis of potential effects of the socio-economic information performed by the socio-economic events analyzer (73).

Abstract: Examples disclosed herein relate to a likelihood of success of a remote document service. For example, a processor may determine to transmit information about a remote document service to a device based on a likelihood of success associated with the ability of the device to perform the remote document service.

Abstract: Examples disclosed herein relate to determining a manufacturing batch. In one implementation, the manufacturing batch relates to 3D printing. A processor may determine component parts of a product that. In one implementation, a processor determines a batch of the component parts related to different products based on a comparison to other potential batches.

Abstract: A print production system includes a dispatcher and a task-resource scheduler. The dispatcher sorts print requests for placement among a series of containers to identify relative priorities among all print requests in each container and then merges the containers together to produce a prioritized list of print requests among all containers. Upon release by the dispatcher of a top N print requests from the prioritized list, the scheduler converts the prioritized list into a task-resource schedule for print production.

Abstract: Examples disclosed herein relate to simulating production of an order. In one implementation, a processor extracts information about process flow of an order through resources, resource policy, and prioritization within the production environment from information related to the fulfillment of the previous orders. The processor may create a simulation of the fulfillment of new orders within the production environment based on the extracted information.

Abstract: A user interface guides an interview of a print service provider (PSP) to generate interview data regarding the PSP. The interview data regarding the PSP is translated into simulation experiments regarding printing production services offerable by the PSP. The simulation results are concurrently executed to generate simulation results. The simulation results are synthesized to generate capacity planning analyses and recommendations for the PSP reviewable within the user interface.

Abstract: A print production system includes a dispatcher and a task-resource scheduler. The dispatcher sorts print requests for placement among a series of containers to identify relative priorities among all print requests in each container and then merges the containers together to produce a prioritized list of print requests among all containers. Upon release by the dispatcher of a top N print requests from the prioritized list, the scheduler converts the prioritized list into a task-resource schedule for print production.