13 results about "Manufacturing planning" patented technology

Provided are a manufacturing planning system, a manufacturing planning method, and a program that make it possible to improve production efficiency and reduce the load of off-line setup. A manufacturing planning system (1) is for determining a manufacturing plan for producing a plurality of types of products by one or more production lines, and comprises an arithmetic circuit (15) capable of accessing changeover time data (D1) indicating a changeover time for one or more production lines due to a changeover between a plurality of types of products, and workload data (D2) indicating a workload of off-line setup due to a changeover. The arithmetic circuit (15) outputs a manufacturing plan (D5) for optimizing the sum of changeover times and the sum of workloads, on the basis of the changeover time data (D1) and the workload data (D2), in response to an input of production requirement data (D4) including target quantities of a plurality of types of products.

The application provides a composite pressure vessel fiber winding angle sensitivity analysis and optimization method, and belongs to the technical field of composite pressure vessel design and manufacturing. The method comprises the following steps: S1, model partitioning; S2, manufacturing constraint; S3, establishing a constitutive relation; S4, design variable parameterization; S5, mathematical expression of the optimization problem; S6, sensitivity analysis solution; S7, design variable updating; S8, iteration cycle and convergence determination. The method converts the design variables of the optimization problem from the unmanufacturable "local layer angle" to the actual "winding path parameters" that determine the fiber space angle, thereby strictly embedding the manufacturing constraint in the optimization process. Through the construction of a high-fidelity finite element model and the use of efficient analytical sensitivity analysis, efficient exploration of the design space is realized, and finally a winding angle distribution scheme that seamlessly connects with the numerical control winding equipment and can be directly used for multi-beam non-crossing production is output, thereby realizing the technical closed loop from optimization design to manufacturing planning.

A production cost of fuel provided to a vehicle is reduced. A production plan generation system 10 generates a production plan for fuel or a vehicle and includes a condition information acquisition unit 11 acquiring condition information including information indicating an amount of fuel suppliable to a vehicle to which a produced fuel can be supplied and a production plan generation unit 12 generating the production plan including a production time of the fuel and an amount of fuel produced on the basis of the condition information acquired by the condition information acquisition unit 11.

A computer-implemented method (100) for preparing a manufacturing plan, comprising: receiving (102) plan template data defining a plan template; receiving (104) pattern data defining a plurality of patterns; processing the plan template data and pattern data to generate (106) initial plan data, the initial plan data defining an initial pattern arrangement on the plan template; generating (108) a plan efficiency score based on the initial plan arrangement; and generating (110) a pattern adjustment recommendation for modifying the pattern data by reference to the initial plan data and the plan efficiency score.

The application discloses a kind of shipbuilding industry intelligent manufacturing operation system, belong to shipbuilding digital management technical field.System includes ten big modules such as basic data management, production plan and scheduling, material management, production process control, equipment management, quality management, data traceability and analysis, exception and safety management, cost and change management, system integration;Adopt microservice architecture, containerized deployment and encryption security system, built-in shipbuilding global collaborative optimization algorithm, intelligent scheduling algorithm, matching algorithm, equipment health degree prediction algorithm, quality traceability algorithm, exception hierarchical response algorithm, cost dynamic accounting algorithm and multi-dimensional data analysis algorithm, realize multi-objective optimization by mathematical formula modeling.The application solves the problems of weak shipbuilding plan coordination, disordered material management, difficult quality traceability, low resource utilization, incompatible system, etc., realizes transparent, refined and intelligent control of the whole production process, and significantly improves production efficiency.

Provided are a manufacturing plan making method, a manufacturing plan making system, a program, and an information terminal with which it is possible to improve the realizability of a manufacturing plan. The manufacturing plan making method is executed by an arithmetic circuit in order to make a manufacturing plan of a product manufactured by a manufacturing process in which a plurality of execution subjects perform work in order, and in this manufacturing plan making method, a first index value indicating the degree of replacement of the plurality of execution subjects during a first period is determined (S12), and a second index value indicating the degree of replacement of the plurality of execution subjects during a second period is determined (S13). On the basis of the first index value, a change in the degree of proficiency of the plurality of execution subjects from the start of the first period is determined (S14), and on the basis of the change in the degree of proficiency, a product manufacturing plan for the first period is output (S16).

This information processing device: acquires a manufacturing plan; calculates, for each of a plurality of manufacturing tasks constituting the acquired manufacturing plan, an index value indicating the desirability of each of the plurality of manufacturing tasks on the basis of a grace period from the completion of a product to the delivery date of the product in each of the plurality of manufacturing tasks; creates an image in which a relationship between the calculated index value for each of the plurality of manufacturing tasks and the number of products to be produced in each of the plurality of manufacturing tasks is graphed; and outputs the created image.

[PROBLEM] To provide an environment in which multiple factories can individually manage information about production and manufacturing and can smoothly share or link the information.[SOLVING MEANS] An information management system according to an embodiment is based on the assumption that each of cooperating factories holds a manufacturing plan based on a production management plan, a goods arrival plan about procurement from the other cooperating factories, and achievements from the manufacturing plan and the goods arrival plan, and includes an existing manufacturing management system which independently manages plans and achievements of manufacturing in the factory. The information management system includes a storage apparatus configured to store, for each of the factories, a production request data model, a production instruction data model, and a goods arrival planning data model; a data accumulation management apparatus configured to structure the plans and the achievements of manufacturing acquired thorough the manufacturing management systems in the factories into the data models according to a predetermined data structure definition template; and an information management apparatus configured to refer to information about the plans and achievements of manufacturing in the other factories via the data models.

The manufacturing panning system includes an arithmetic circuit accessible to data on a manufacturing plan for manufacturing a plurality of different products by a manufacturing facility performing a plurality of processes. The arithmetic circuit is configured to: for a shortage product among the plurality of different products of which a predicted quantity of a finished product by a due date is less than a target quantity, output, a first modification proposal to change the manufacturing plan so as to increase a production quantity of the shortage product in a first process performed first among the plurality of processes when remaining time until the due date is equal to or longer than manufacturing lead time; and output, a second modification proposal to change the manufacturing plan so as to prioritize manufacturing the shortage product in a second process performed after the first process among the plurality of processes.

The invention relates to a computer-supported manufacturing method (10) for manufacturing workpieces (12, 12a, 12b, 14, 16) from a plurality of workpiece blanks (26) using a manufacturing system (28) by means of a plurality of workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) defined in manufacturing orders (18, 18a-c), having the method steps of: a) forming (30) a processing stock (32) by separating the workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) contained in the manufacturing orders (18, 18a-c) by assigning an order association; b) creating (36) a cross-order manufacturing plan (38) by positioning at least some of the workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) provided in the processing stock (32) on one or more workpiece blanks (26); c) defining (40) a partial manufacturing plan (42a-d) of the manufacturing plan (38), wherein the partial manufacturing plan (42a-d) comprises manufacturing the workpiece orders (20, 20a, 20b, 22a, 22b, 24a, 24b, 24a, 24b) positioned on an individual workpiece blank (26), wherein the partial manufacturing plan (42a-d) is defined while taking into account an occupancy level of the workpiece blank (26); d) manufacturing (40) the workpieces (12, 12a, 12b, 14, 16) according to the workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) of the partial production plan (42a-d). The invention further relates to a manufacturing system (28).

A manufacturing plan formulation method is a manufacturing plan formulation method performed by an arithmetic circuit for formulating a manufacturing plan for a product to be manufactured by a manufacturing process in which a plurality of actors perform tasks sequentially, and includes: identifying a first indicator value indicating a degree of replacement of the plurality of actors during a first period; identifying, based on the first indicator value, a change in proficiency of the plurality of actors from a start of the first period; and outputting a manufacturing plan of the product for the first period based on the change in proficiency.

The invention provides a composite material pressure vessel fiber winding angle sensitivity analysis and optimization method, and belongs to the technical field of composite material pressure vessel design and manufacture, the method comprises the following steps: S1, model partitioning; s2, manufacturing constraints; s3, establishing a constitutive relationship; s4, designing variable parameterization; s5, mathematically expressing the optimization problem; s6, analyzing and solving the sensitivity; s7, updating the design variables; and S8, performing iterative loop and convergence judgment. According to the method, a design variable of an optimization problem is converted into an actual winding path parameter for determining a fiber space angle from a non-manufacturable local ply angle, so that manufacturing constraints are strictly embedded in the optimization process, efficient exploration of a design space is realized by constructing a high-fidelity finite element model and adopting efficient analysis sensitivity analysis, and the method has the advantages of being simple in structure and high in practicability. And finally, a winding angle distribution scheme which is seamlessly connected with numerical control winding equipment and can be directly used for multi-beam non-cross production is output, and a technical closed loop from optimization design to manufacturing planning is realized.