Abstract:
The present application a new and improved system and method of enhanced Lean Document Production (LDP), which applies cellular manufacturing to document printing operations. The LDP process incorporates process friendly cells and, a push model to order to improve efficiency, reduce work in progress and smooth out the “frictions” in production environments. The current application presents an earliest-completion-time strategy for assigning jobs to cells and a dynamic-priority-based-batch-scheduling algorithm.
Abstract:
A system and method is used to manage scheduling of a plurality of print jobs in a multi-site print shop environment. The multi-site environment includes a plurality of print shops each having resources and equipment to complete at least one type of print job. Also included is a multi-site scheduler configuration arranged to assign and schedule print jobs to one of a home shop and a non-home shop. The assigning and scheduling is based on a fastest completion time, wherein a completion time of a print job in a home shop is defined as the actual time taken to complete the print job and a completion time of a print job in a non-home shop is defined as the actual time taken to complete the print job and a transportation delay.
Abstract:
The present application presents a new and improved system and method of enhanced Lean Document Production (LDP), which employs cellular manufacturing concepts. The LDP process incorporates an auto-splitting algorithm and/or an earliest completion route algorithm to generate an operation schedule.
Abstract:
The present application presents a new and improved system and method of enhanced Lean Document Production (LDP), which employs cellular manufacturing concepts. The LDP process incorporates an auto-splitting algorithm and/or an earliest completion route algorithm to generate an operation schedule.
Abstract:
A system and method is used to manage scheduling of a plurality of print jobs in a multi-site print shop environment. The multi-site environment includes a plurality of print shops each having resources and equipment to complete at least one type of print job. Also included is a multi-site scheduler configuration arranged to assign and schedule print jobs to one of a home shop and a non-home shop. The assigning and scheduling is based on a fastest completion time, wherein a completion time of a print job in a home shop is defined as the actual time taken to complete the print job and a completion time of a print job in a non-home shop is defined as the actual time taken to complete the print job and a transportation delay.
Abstract:
The present application a new and improved system and method of enhanced Lean Document Production (LDP), which applies cellular manufacturing to document printing operations. The LDP process incorporates process friendly cells and, a push model to order to improve efficiency, reduce work in progress and smooth out the “frictions” in production environments. The current application presents an earliest-completion-time strategy for assigning jobs to cells and a dynamic-priority-based-batch-scheduling algorithm.
Abstract:
Features described herein relate to concurrently processing multiple batches of job requests for one or more machines and/or components thereof, using a plurality of job planning queues. Each batch of job requests is allocated to a planning queue, and each planning queue comprises an unplanned subqueue that stores unplanned jobs, an unsent subqueue that stores planned jobs waiting to be executed, and a sent subqueue that stores planned jobs that have been output to the machine(s) for execution. A job planner and related components determine which unsent subqueue has the fewest planned jobs at a given point in time, and selects an unplanned job from the unplanned subqueue in the same planning queue as the identified unsent subqueue. The planner then generates a plan for the selected job and inserts the planned job into the unsent subqueue for eventual output to the machine(s) for execution. In this manner, the unsent subqueues for each planning queue are maintained with substantially equal numbers of planned jobs ready for execution, which improves throughput by ensuring that all machines and/or associated components are kept busy.
Abstract:
Target value search methods and systems are presented for solving a target value path problem to identify a path or paths in a graph in which a connection graph is created and upper and lower bound values are determined for each node in the connection graph, and a first best search is performed to identify a path or paths from a starting node to a goal node having a path value closest to the target value.
Abstract:
A control systems and methods are presented for controlling a production system, in which a model-based planner includes a formulation, such as a SAT formulation representing possible actions in the production, with a solver being used to provide a solution to the formulation based at least partially on production and diagnostic goals and the current plant condition, and a translation component translates the solution into a plan for execution in the plant.
Abstract:
Features described herein relate to optimizing a job plan procedure for selecting a plan for executing a manufacturing job. A planner can receive a model of a system that is to perform a job, and may select a precomputed plan that is sufficient to perform the job. The precomputed plan is identified during a first portion of a planning period, and the remainder of the planning period may be utilized to search for and identify a better plan for executing the job. If a better plan cannot be identified by the end of the planning period, then the selected precomputed plan can be executed.