EP4352580A1 - Verfahren, system und computerprogramm zur planung einer produktion in einer aus mehreren separaten aufeinanderfolgenden anlagenteilen bestehenden produktionsanlage, insbesondere einer metallurgischen produktionsanlage zur erzeugung von industriegütern wie metallischem halbzeug und/oder metallischen endprodukten - Google Patents
Verfahren, system und computerprogramm zur planung einer produktion in einer aus mehreren separaten aufeinanderfolgenden anlagenteilen bestehenden produktionsanlage, insbesondere einer metallurgischen produktionsanlage zur erzeugung von industriegütern wie metallischem halbzeug und/oder metallischen endproduktenInfo
- Publication number
- EP4352580A1 EP4352580A1 EP22734489.2A EP22734489A EP4352580A1 EP 4352580 A1 EP4352580 A1 EP 4352580A1 EP 22734489 A EP22734489 A EP 22734489A EP 4352580 A1 EP4352580 A1 EP 4352580A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- production
- plant
- products
- sequence
- sequences
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Program-control systems
- G05B19/02—Program-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32088—Master production planning, highest level
Definitions
- the invention relates to a method for planning production in a system consisting of several separate, sequential parts
- Production plant in particular a metallurgical production plant for the production of industrial goods such as metallic semi-finished products and/or metallic end products.
- the invention also relates to a system and a computer program for planning production in a production plant consisting of several separate, successive plant parts, in particular a metallurgical production plant for producing industrial goods such as metallic semi-finished products and/or metallic end products.
- Production of industrial goods such as metallic semi-finished products and/or metallic end products link various process steps with one another. Different process steps for the production of an end product of the production plant are carried out in the separate parts of the plant.
- the (intermediate) product manufactured in one part of the plant serves as an input product for the subsequent part of the plant or is delivered to a customer as an intermediate product or, after processing in the last part of the plant, as an end product.
- the parts of the plant can be spatially separated from one another and the (intermediate) products are optionally transported between the parts of the plant, temporarily stored or the like.
- the products to be manufactured in the production plant or in the separate parts of the plant are available in a production list or in partial production lists for the separate parts of the plant.
- the partial production lists can be derived from the production list, for example.
- products from the partial production lists are produced in production sequences, preferably immediately one after the other.
- different products usually require an adaptation of the mode of operation of the plant part, an adjustment of the mechanical equipment of the plant, the performance of maintenance work on the plant part or comparable modifications of the plant part.
- a product change in a production sequence can consequently cause a delay and unnecessary waste.
- a delay occurs, for example, due to set-up times or the replacement of wearing parts. Rejects can arise due to transient production conditions, where the product manufactured during the transition period does not meet the requirements of the end product.
- wearing parts can be replaced at a point in time that is not optimized, in particular at an early point in time.
- the production in a plant part can be optimized manually and/or with system support.
- the optimization relates in particular to the determination of the production sequence, i.e. the determination of the production order in a plant part.
- comparable products are grouped in a production sequence with the help of a system. It is known to use algorithms that perform similarity considerations between products and filter the backlog.
- the products to be manufactured in the production plant require a number of production steps, which are carried out in the separate parts of the plant.
- the separate parts of the system relate to different types of systems, each of which has different (product) characteristics for the evaluation of Product transitions within the production sequence are relevant.
- the chemical composition of the products to be manufactured can be relevant, while in another part of the plant the product dimensions of the products to be manufactured are relevant.
- Due to the complex dependencies and the large number of individual production orders manual planning and optimization of the production orders cannot be implemented, since the relationships between all production orders for all plant parts would have to be analyzed and optimized, taking into account set-up times, output losses or similar disadvantages.
- a system-supported global minimization of the production orders taking into account the product transitions of the production sequences across all plant parts, has not yet taken place, which leads to avoidable output losses and downtimes, which represent economic and social damage.
- the object is achieved according to the invention by a method for planning production in a production plant consisting of several separate, successive plant parts, in particular a metallurgical production plant for the production of industrial goods such as metallic semi-finished products and/or metallic end products, with the products to be manufactured in the production plant being available in a production list and/or partial production lists for the separate successive plant parts are available or are determined from the production list (BE: production list/partial production lists, possibly supplemented by future expected orders) including the steps:
- part of the plant can be manufactured
- the invention relates to a method for planning a production in a production plant consisting of several separate successive plant parts. These are in particular industrial production plants such as a metallurgical production plant for the production of
- Industrial goods such as metallic semi-finished products and/or metallic end products.
- the products to be manufactured in the production plant are available in a production list.
- partial production lists can be available for the separate parts of the plant, or these are derived from the production list of the production plant.
- the production list or the partial production lists can also include products expected in the future from expected incoming orders if the production plant can provide a corresponding forecast of incoming orders or receives it from another system.
- the partial production lists of the plant parts are analyzed in order to determine which products from the corresponding partial production list can be manufactured in the corresponding plant part without production restrictions or production interruptions.
- production sequences for the Part of the plant determined, each production sequence summarizes the products that can be produced in the corresponding part of the plant, which can be produced in the plant part without production restrictions or production interruptions.
- the products contained in a partial production list are thus grouped, with each group being able to be produced in the corresponding part of the plant without restrictions or without interruption.
- a production restriction within the meaning of the invention causes a significant reduction in the output of the production plant or significant resource losses, which are associated with a product change in the production process of the plant part. According to the method according to the invention, it is then analyzed which products from the production list or the partial production lists for all plant parts of the production plant are each in a common
- At least one overall production sequence for the production plant is determined on the basis of this analysis, each overall production sequence containing products which are contained in a common production sequence for all plant parts.
- An overall production sequence thus contains an option for manufacturing the products specified in the overall production sequence, which is uninterrupted in the individual parts of the plant.
- production is optimized in a production plant consisting of a plurality of separate, successive plant parts.
- downtimes and output losses are minimized, for example by avoiding set-up times and output losses during transitions between products to be manufactured.
- An increase in efficiency is achieved due to a higher utilization of the production capacities, for example by minimizing plant downtimes.
- Output losses are avoided through optimized product changes. This results in a more economical operation of the production plant, as well as socially avoiding unnecessary use of resources.
- a product is assigned to a production sequence of a plant part if the product can be produced without production restrictions or production interruptions before or after a product contained in the production sequence. It is therefore checked for each plant part and each combination of two products from the partial production list of the corresponding plant part, whether these can be produced consecutively without interruption.
- the method includes the step of setting limit values for product properties in the separate plant parts that cause a production restriction or production interruption.
- the product properties of the products to be manufactured which are essential for production and which limit or interrupt production in the system are therefore identified for each part of the plant
- Limit values the products contained in a partial production list can be easily divided into the production sequences, with each production sequence being able to be executed without interruption in the corresponding part of the plant.
- the limit values can be formed from a combination of individual parameters.
- the limits are in particular machine-evaluable criteria for the classification of product changes.
- the analysis of the partial production lists to determine production sequences for the corresponding plant parts includes the creation of graph models for the plant parts.
- the products contained in the partial production lists represent a node in the graph model and the nodes are connected to one another via an edge if the corresponding products can be manufactured in the plant part without production restrictions or production interruptions. All nodes connected via edges in the graph model created thus form a production sequence for the corresponding plant part.
- the partial production lists are thus analyzed with the aid of computers and transferred to a graph model.
- the production sequences can be derived from this graph model. This means that even very extensive partial production lists can be analyzed quickly and easily and transferred to production sequences.
- the method according to the invention can be based on methods which can represent and evaluate relationships between the products contained in the partial production lists and their production in the plant parts.
- the production sequences can be derived easily and efficiently from the relationships, in particular the graph model
- analyzing the production sequences of the plant parts to determine at least one overall production sequence for the production plant includes evaluating the graph models for the plant parts. Products are included in an overall production sequence if these products are connected via an edge for all plant parts in the corresponding graph models are.
- the overall production sequence thus contains products that are contained in a common production sequence on all parts of the plant, ie can be produced on all parts of the plant without interruption. Since the products in the graph models are represented by nodes and the uninterrupted production sequences are defined by the edges, the graph models of the plant parts must be evaluated to determine which nodes in all graph models are connected via an edge.
- the analysis of the partial production lists to determine production sequences for the corresponding plant parts includes the creation of lists, in particular lists of vectors, adjacency matrices, or comparable data structures for detecting relationships.
- the created lists, adjacency matrices or comparable data structures can subsequently be evaluated analogously to the created graph models in order to determine an overall production sequence for the production facility.
- the production sequences of the plant parts contain products that do not require processing in all plant parts.
- the production sequences of the plant parts contain products that are delivered to a customer after processing by a plant part or processing by a part of the available plant parts.
- the production sequences of the plant parts at least partially contain products that are part of different overall production sequences. So it is possible that products of a Production sequence in one part of the plant is part of several production sequences in another part of the plant, resulting in several overall production sequences. For example, products in an upstream part of the plant can be included in one production sequence, while the same products are included in two different production sequences in a subsequent part of the plant. Since an overall production sequence only contains products that are contained on all plant parts in a production sequence, two overall production sequences are determined in this example because of different production sequences in the subsequent plant part. The production sequence of the upstream part of the plant thus contains, for example, products that are contained in two overall production sequences. This is only an exemplary explanation and the other way around is also possible, ie that a production sequence of a subsequent part of the plant contains products from two production sequences of an upstream part of the plant.
- the method includes the step of optimizing a plurality of overall production sequences to determine a master production sequence.
- the master production sequence preferably includes all products to be manufactured in the production facility from the production list and/or the partial production lists. If not all of the products to be produced in the production plant that are specified by the production list or partial production lists can be produced in an overall production sequence, the execution of the several specific overall production sequences is optimized according to this variant of the invention. In particular, it is taken into account that production sequences can be part of different overall production sequences.
- the master production sequence only sees production restrictions or Production interruptions in parts of the plant where these are unavoidable due to the linking of the overall production sequences.
- the master production sequence thus preferably reduces the production restrictions or production interruptions to a minimum.
- the method comprises the step of determining production start times and production end times for the products to be manufactured which are listed on the production list or in the partial production lists. For the individual products to be manufactured, it is therefore determined when production begins and when it is completed. If necessary, the corresponding start and end times of the processing by the individual plant parts can also be determined.
- the processing status of the individual products to be manufactured and, if applicable, their intermediate products can be determined at any time.
- storage capacities of the production plant, plant parts, interim storage facilities or the like are also taken into account, in particular for products that are manufactured early in a production sequence but are only taken into account at a later point in time in subsequent overall production sequences.
- the optimization of several overall production sequences to determine the master production sequence is based on an algorithm for solving the job shop problem, in particular on an algorithm from the field of mixed-integer optimization, genetic optimization, heuristic methods from Operation research such as particle swarm, simulated annealing, tabu search, predator-prey, or comparable algorithms.
- the master production sequence is determined forwards or backwards along a corresponding process chain.
- a production chain concerns, for example, the manufacture of products from one processing of raw materials to several
- the master sequence can be determined taking into account the process chain in both directions.
- a prioritization of the system parts is taken into account when determining the at least one overall production sequence and/or the master production sequence.
- the prioritization is based, for example, on the added value, utilization or other properties of the plant components.
- the overall production sequence and/or the master production sequence is determined iteratively, starting with the plant part with the highest priority, so that optimal utilization is achieved for these plant parts.
- the method comprises the step of checking the production sequences for the corresponding parts of the plant for actually uninterrupted execution in the corresponding part of the plant.
- the operational conditions and processes of the corresponding system part are taken into account in particular, in particular necessary maintenance downtimes, replacement of operational parts, or the like. Even if a production sequence can theoretically be carried out without interruption in one part of the plant, operational conditions and processes may be necessary
- the method comprises the step of dividing production sequences if an actually uninterrupted execution is not possible in the corresponding plant part.
- the integration of the production sequence to be divided into an overall production sequence is preferably taken into account during the division, so that a division of the overall production sequence is preferably avoided. If this is not possible, the entire production sequence must also be divided and, if necessary, a specific master production sequence must be re-determined.
- the method includes the step of optimizing the production sequences for the plant parts with regard to processing by the corresponding plant part.
- the optimization is preferably based on an algorithm for solving the Traveling Salesman problem, in particular on an algorithm from the field of mixed-integer optimization, genetic optimization, heuristic methods from operation research such as particle swarm, simulated annealing, tabu search, predator-prey, or similar algorithms.
- sorting can also be carried out according to one or more product properties.
- the method takes into account the starting materials and their states for the products to be manufactured in the Planning of production in the production plant.
- inventories, delivery times, delivery conditions, availability of raw materials, condition of the starting materials, processing status of (intermediate) products or the like can be taken into account. This allows the planning of the products to be optimized in terms of time, but also with regard to the tied-up capital or other economic aspects.
- the method according to the invention includes the step of defining a time horizon for the execution of the method, in particular with regard to the manufacture of the products from the production list and/or the partial production lists.
- the method according to the invention achieves a time-optimized production of the products.
- delivery dates, availability of raw materials, or similar time specifications must be taken into account during planning. Since the circumstances can change continuously, planning for a specific time horizon is sufficient, so that planning continuously for this time horizon is optimal.
- the method includes the step of adjusting production at a later point in time during production if production capacities are still available in the specified time horizon.
- the method comprises the step of inserting a new product to be manufactured into existing production sequences and/or an overall production sequence.
- the planning can also be adapted to short-term incoming orders, especially urgent incoming orders.
- the due date of the new product to be manufactured, the product properties or the like are taken into account when inserting.
- similarities to product properties of products that are already planned and contained in an overall production sequence and/or master production sequence can be taken into account.
- a product to be newly manufactured is expediently included in an existing overall production sequence if this does not unnecessarily delay the overall production sequence, in particular does not cause the overall production sequence to be separated.
- An unnecessary delay within the meaning of the invention is a delay in excess of the normal manufacturing time for the product to be inserted.
- the method according to the invention comprises the linking of two existing total production sequences through the inserted new product to be produced.
- the newly added product means that two previously separate overall production sequences can be combined into a single overall production sequence. This is made possible, for example, by the fact that the newly inserted product can mediate between two separate production sequences of a plant part, i.e. these can be combined into one production sequence.
- the method is carried out iteratively, in particular on a fixed time basis or after specific events such as completion of an optimization run, status changes, receipt of new orders, or the like.
- the method is used for the production of steel, non-ferrous metals, slabs, blocks, rods, strips, sheets, tubes, beams, forgings or the like.
- non-ferrous metals are aluminum, copper, nickel, or the like.
- the method includes one or more of the following process steps: melting, casting, hot forming, cold forming, pickling, coating, or the like.
- the plant parts are selected from: blast furnaces, sinter plants, converters, electric arc furnaces, induction furnaces, ladle furnaces, vacuum treatment plants, powder atomization plants, continuous casting machines, block or mold foundries, hot rolling mills, cold rolling mills, pickling plants, winding lines, blasting plants, galvanizing lines,
- Tinning lines painting lines, slitting lines, cut-to-length lines, finishing lines, forging presses, drop forging, reheating furnaces, heat treatment lines, batch annealing, or the like.
- forging presses drop forging, reheating furnaces, heat treatment lines, batch annealing, or the like.
- Partial production lists for determining production sequences for the corresponding plant part the creation of graph models for the plant part, the products contained in the partial production lists representing a node in the graph model in a graph model and the nodes being connected to one another via a directed edge if the corresponding products in the corresponding production sequence without Production restrictions or production interruptions can be produced in the plant part.
- a directed graph model is created that takes into account the order of products in a production sequence in order to ensure uninterrupted production.
- analyzing the production sequences of the plant parts to determine at least one overall production sequence for the production plant includes evaluating the graph models for the plant parts, products being included in an overall production sequence if these products for all plant parts in the corresponding graph models have directed edges are connected. Since the edges take the production sequence into account, uninterrupted production is guaranteed. This corresponds to the determination of Hamiltonian paths in a directed graph model.
- the directed edges are taken into account directly when creating the production sequences for the corresponding plant parts, or production sequences are subsequently adapted and/or subdivided on the basis of the directed edges.
- a directed graph model is created directly and the production sequence is derived from it, which directly takes into account the production sequence of the products based on the directed edges, or an already determined production sequence is adapted and/or subdivided based on the directed graph model.
- a subdivision of a production sequence is necessary if not all products contained in the production sequence can be manufactured in an uninterrupted production sequence.
- the method comprises the step of subdividing the overall production sequence according to the subdivision of the production sequences. Will a production sequence due to the directed graph model is divided, the overall production sequence based on it is also divided accordingly.
- directed lists in particular lists of directed vectors, directed adjacency matrices, or comparable directed data structures can also be used to record relationships.
- the method includes the step of filtering the production list and/or the partial production lists, in particular with regard to the delivery dates.
- the production lists and/or partial production lists are preferably filtered before the partial production lists are analyzed.
- the filtering takes place in particular on the basis of delivery dates of the products to be manufactured in the production plant.
- products to be manufactured can be sorted out, for example, which are currently not time-critical and can or must only be taken into account at a later point in time when planning production in the production plant.
- the result of the filtering is therefore a list of products that are relevant to the current process situation and are to be manufactured in the production plant.
- FIG. 1 shows a schematic view of a production plant with several separate successive plant parts according to a first exemplary embodiment of the invention
- Fig. 2a-2d detailed examples of graph models of production sequences and superimposition of the graph models to determine a
- the production plant 1 shows a schematic view of a production plant 1 with a plurality of successive plant parts 2 according to a first exemplary embodiment of the invention.
- the production plant 1 is designed to carry out a method according to the invention for planning a production in the production plant 1 .
- the production plant 1 from FIG. 1 is a metallurgical production plant 1 for the production of industrial goods such as metallic fluff and/or metallic end products.
- the production plant 1 comprises three separate, consecutive plant parts 2, namely in the order from top to bottom: a casting and rolling plant, a pickling tandem line and a hot-dip galvanizing line.
- the system parts 2 are selected purely as an example and are limited to three for the sake of clarity. In principle, the number and type of system parts 2 is not limited and relates, for example, to floc furnaces, sintering systems, converters, electric arc furnaces, induction furnaces, ladle furnaces, vacuum treatment systems, powder atomization systems, continuous casting machines, block or mold foundries, hot rolling mills, cold rolling mills, pickling systems, winding lines, blasting systems, galvanizing lines, tinning lines , painting lines, slitting lines, cut-to-length lines, finishing lines, forging presses, drop forging lines, reheating furnaces, heat treatment lines, batch annealing, or the like.
- the method according to the invention is used for the production of steel, non-ferrous metals, slabs, blocks, rods, strips, sheets, tubes, beams, forgings or the like.
- the method includes, for example, one or more of the following process steps: melting, casting, hot forming, cold forming, pickling, coating, or the like.
- the products P1, P2, P3, P4, P5 to be manufactured in the production plant 1 are present in a production list 3 according to the first exemplary embodiment from FIG. From the production list 3, partial production lists 4 for the separate, consecutive system parts 2 can be determined.
- the production list 3 can also contain orders expected in the future, that is to say products P1, P2, P3, P4, P5 which are likely to be manufactured in the future.
- the partial production lists are analyzed for the plant parts 2 and production sequences for the corresponding plant parts 2 are determined.
- the products P1, P2, P3, P4, P5 that can be produced in the corresponding plant part 2 and that can be produced in the plant part 2 without production restrictions or production interruptions are combined in each production sequence.
- the products P1 , P2 , P3 , P4 , P5 listed in the partial production lists 4 are thus analyzed to determine whether they are produced without interruption in the plant part 2 . All products P1, P2, P3, P4, P5 of the partial production list 4 that can be produced without interruption are combined in a production sequence.
- the partial production list 4 is consequently subdivided into a number of production sequences, with each production sequence being able to be executed by the plant part without interruption.
- a product is assigned to a production sequence of a plant part 2 in particular if the product can be produced without production restrictions or production interruptions before or after a product contained in the production sequence.
- limit values for product properties that cause production to be restricted or interrupted are set for the separate plant parts 2 .
- the partial production lists 4 can be easily and quickly grouped into the production sequences.
- the production sequences of the plant parts 2 are analyzed in order to identify products P1, P2, P3, P4, P5 that are contained in all plant parts 2 in a common production sequence.
- an overall production sequence is determined, which contains the products P1, P2, P3, P4, P5, which are contained in a common production sequence for all plant parts 2.
- the overall production sequence thus ensures that the products P1, P2, P3, P4, P5 contained therein can be produced on all system parts 2 without interruption. Expediently, only products P1, P2, P3, P4, P5 that require production in the same successive plant parts 2 are taken into account in an overall production sequence. At the same time, the production sequences of the plant parts 2 can at least partially contain products P1, P2, P3, P4, P5, which are part of different overall production sequences.
- the method according to the invention for planning production in production plant 1, which consists of several separate, successive plant parts 2, preferably includes the optimization of several overall production sequences to determine a master production sequence, which preferably contains all products P1, P2, P3, P4, P5 to be manufactured in production plant 1 from the Production list 3 or the partial production lists 4 includes. So not only overall production sequences are determined, which optimize the production of the products P1, P2, P3, P4, P5 contained therein over all plant parts 2 of the production plant 1, but also the Execution of the several total production plants in the plant parts 2 of the production plant 1 optimized.
- the number, weight, volume or similar properties of products P1, P2, P3, P4, P5 are taken into account, which are manufactured early in a production sequence, but continue at a later point in time in subsequent overall production sequences are taken into account. Furthermore, storage capacities of the production plant 1, the parts of the plant 2, intermediate storage facilities or the like can be taken into account in this regard.
- the optimization of several overall production sequences to determine the master production sequence is based, for example, on an algorithm for solving the job shop problem, in particular on an algorithm from the field of mixed-integer optimization, genetic optimization, heuristic methods from operation research such as particle swarm , simulated annealing, tabu search, predator-prey, or similar algorithms.
- the master production sequence can be determined forwards or backwards along the corresponding process chain.
- a prioritization of the system parts 2 can be taken into account when determining the at least one overall production sequence and/or the master production sequence.
- the prioritization is based, for example, on the added value, utilization or other properties of the plant parts 2.
- the method includes the step of checking the production sequences for the corresponding plant parts 2 for an actually uninterrupted execution in the corresponding plant part 2.
- the products P1, P2, P3, P4, P5 in a production sequence are theoretically uninterrupted in the plant part 2 executable, but it is quite possible that the production sequence is too long overall and cannot be executed without interruption. For example, maintenance work on the plant part 2 can be pending during the production sequence, so that the production sequence has to be interrupted for the maintenance work. For this reason, the operational conditions and processes of the corresponding system part 2 are taken into account during the check, in particular necessary maintenance downtimes, replacement of operational changeover parts, or the like are taken into account. If an uninterrupted execution in the plant part 2 is not possible, the corresponding production sequence is preferably divided. The integration of the production sequence to be divided into an overall production sequence is taken into account during the division, so that preferably a division of the overall production sequence is avoided.
- the corresponding processing of the production sequences by the plant part 2 can be optimized for the plant parts 2 . It is therefore determined for each plant part 2 in which order the products P1, P2, P3, P4, P5 of the production sequence are produced. For example, sorting takes place according to one or more product properties.
- the optimization is based, for example, on an algorithm for solving the Traveling Salesman problem, in particular on an algorithm from the field of mixed-integer optimization, genetic optimization, heuristic methods from operation research such as particle swarm, simulated annealing, tabu search, predator-prey, or similar algorithms.
- the method according to the invention can take into account the starting materials and their states for the products P1, P2, P3, P4, P5 to be manufactured. This allows further optimize the profitability of the production plant 1 since, for example, capital tied up in the starting materials can be taken into account.
- the method includes the definition of a time horizon for the execution of the method, in particular the production of the products P1, P2, P3, P4, P5 from the production list 3 and/or the partial production lists 4. If in the defined time horizon still If production capacities are available, ongoing production can be adjusted at a later point in time, for example.
- a new product to be manufactured can be inserted into existing production sequences and/or an overall production sequence.
- due dates of the products P1, P2, P3, P4, P5 to be inserted, product properties or the like are taken into account.
- a product to be newly manufactured is preferably only included in an existing overall production sequence if this does not unnecessarily delay the overall production sequence, in particular if it does not cause the overall production sequence to be separated.
- a new product to be manufactured is inserted in particular if this allows two existing overall production sequences to be linked.
- the method is expediently executed iteratively, in particular on a fixed time basis or after specific events such as the completion of an optimization run, status changes, receipt of new orders, or the like.
- the analysis of the partial production lists 4 to determine production sequences for the corresponding plant parts 2 includes the creation of graph models for the plant parts 2.
- the products contained in the partial production lists 4 P1, P2, P3, P4, P5 represented by a node in the graph model. The nodes are connected to one another via an edge if the corresponding products P1, P2, P3, P4, P5 can be manufactured in plant part 2 without production restrictions or production interruptions.
- FIGS. 2a to 2c show detailed examples of graph models of production sequences for the three plant parts 2 of the production plant 1 from FIG. 1 and FIG. 2d shows a superimposition of the graph models from FIGS. 2a to 2c to determine an overall production sequence.
- the angular position of a node represents the carbon of the associated product and the radius represents the bandwidth of the associated product.
- FIG. 2a shows the graph model for the casting and rolling plant, which is the first plant part 2 of the production plant from FIG.
- the parameters relevant for the analysis of the partial production lists 4 and the determination of production sequences for this plant part 2 are the steel quality, the carbon content, changes in width and changes in thickness.
- products P1, P2, P3, P4, P5 have a similar carbon content
- FIG. 2b shows the graph model for the pickling tandem line, which is the second plant part 2 of the production plant 1 from FIG.
- the parameters relevant for the analysis of the partial production lists 4 and the determination of production sequences for this plant part 2 are different pickling speeds, Changes in width, changes in thickness at the inlet, changes in thickness at the outlet and changes in cross-section.
- products P1, P2, P3, P4, P5 with similar dimensions are combined in production sequences for the pickling tandem train, since they can be produced without interruption in the casting and rolling plant.
- the carbon content (angular position) is less relevant for the pickling tandem train than for the casting and rolling plant.
- FIG. 2c shows the graph model for the hot-dip galvanizing plant, which is the third and last plant part 2 of the production plant from FIG.
- the parameters relevant for the analysis of the partial production lists 4 and the determination of production sequences for this plant part 2 are the annealing treatment, the carbon content, changes in thickness, changes in width and changes in cross section.
- products P1, P2, P3, P4, P5 with a comparable carbon content (angular position) and similar dimensions (radius position) are combined in production sequences for the hot-dip galvanizing plant, since they can be produced in the hot-dip galvanizing plant without interruption.
- FIGS. 2a to 2c shows an overlay of the graph models from FIGS. 2a to 2c, the graph model of the casting and rolling plant being shown at the bottom, the graph model of the pickling tandem line in the middle and the graph model of the hot-dip galvanizing line at the top.
- Overall production sequences can be derived from the superimposition, an overall production sequence containing only products P1, P2, P3, P4, P5, which are contained in all three plant parts 2 in a common production sequence.
- 3a to 3d show reduced examples of graph models of production sequences for the three plant parts 2 from FIGS. 1 and 2 and an overall production sequence derived therefrom.
- 3a shows that the products P1, P2 and P3 are contained in the casting-rolling plant in a first production sequence and the products P4 and P5 in a second production sequence.
- 3b shows that the products P1 to P5 can be produced in one production sequence in the pickling tandem train.
- Fig. 3c shows that in the hot-dip galvanizing plant in a first
- Production sequence containing the products P1 and P2 and in a second production sequence the products P3, P4 and P5.
- the first overall production sequence includes the products P1 and P2
- the second overall production sequence includes the product P3
- the third overall production sequence includes the products P4 and P5.
- the overall production sequence for the products P1 and P2 is carried out, which can also be carried out without interruption for all plant parts 2.
- the product P3 is contained in a production sequence with the products P1 and P2 with regard to the casting and rolling plant, i.e. it is also produced without interruption can be made, the product P3 is also produced directly in the casting and rolling plant and, if necessary, stored.
- the pickling tandem train the product P3 can be produced with the products P4 and P5 in one production sequence, i.e. without interruption. Therefore, the product P3 is stored until the products P4 and P5 have been produced in the casting and rolling plant.
- the products P3 to P5 can then be manufactured in the pickling tandem train.
- the master production sequence determined in this way essentially only contains the interruption with regard to the changeover between the two production sequences in the casting and rolling plant.
- the interruption in hot-dip galvanizing is at least partially or even fully compensated by the intermediate storage of the product P3 after the first production sequence in the casting and rolling plant.
- the analysis of the partial production lists 4 to determine production sequences for the corresponding plant parts 2 can include the creation of lists, in particular lists of vectors, adjacency matrices, or comparable data structures for detecting relationships.
- the nodes are connected to each other via a directed edge if the corresponding products P1, P2, P3, P4, P5 in the corresponding production order without
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Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102021205910.4A DE102021205910A1 (de) | 2021-06-10 | 2021-06-10 | Verfahren, System und Computerprogramm zur Planung einer Produktion in einer aus mehreren separaten aufeinanderfolgenden Anlagenteilen bestehenden Produktionsanlage, insbesondere einer metallurgischen Produktionsanlage zur Erzeugung von Industriegütern wie metallischem Halbzeug und/oder metallischen Endprodukten |
| PCT/EP2022/064977 WO2022258463A1 (de) | 2021-06-10 | 2022-06-01 | Verfahren, system und computerprogramm zur planung einer produktion in einer aus mehreren separaten aufeinanderfolgenden anlagenteilen bestehenden produktionsanlage, insbesondere einer metallurgischen produktionsanlage zur erzeugung von industriegütern wie metallischem halbzeug und/oder metallischen endprodukten |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP4352580A1 true EP4352580A1 (de) | 2024-04-17 |
Family
ID=82270672
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP22734489.2A Pending EP4352580A1 (de) | 2021-06-10 | 2022-06-01 | Verfahren, system und computerprogramm zur planung einer produktion in einer aus mehreren separaten aufeinanderfolgenden anlagenteilen bestehenden produktionsanlage, insbesondere einer metallurgischen produktionsanlage zur erzeugung von industriegütern wie metallischem halbzeug und/oder metallischen endprodukten |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US20250123615A1 (de) |
| EP (1) | EP4352580A1 (de) |
| DE (1) | DE102021205910A1 (de) |
| WO (1) | WO2022258463A1 (de) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0300456A2 (de) * | 1987-07-24 | 1989-01-25 | Bruce H. Faaland | Ablauffolgeplanungsverfahren und System |
| US5808891A (en) * | 1996-07-30 | 1998-09-15 | International Business Machines Corporation | Method for creating a direct hot charge rolling production schedule at a steel plant |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5197001A (en) * | 1990-05-14 | 1993-03-23 | International Business Machines Corp. | Bill of material and project network processing |
| US5216612A (en) * | 1990-07-16 | 1993-06-01 | R. J. Reynolds Tobacco Company | Intelligent computer integrated maintenance system and method |
| US5969973A (en) * | 1994-11-09 | 1999-10-19 | Amada Company, Ltd. | Intelligent system for generating and executing a sheet metal bending plan |
| US6278901B1 (en) * | 1998-12-18 | 2001-08-21 | Impresse Corporation | Methods for creating aggregate plans useful in manufacturing environments |
| US7239931B2 (en) * | 2003-11-13 | 2007-07-03 | Amada Company, Limited | Sheet metal factory processing system |
| US8086595B2 (en) * | 2007-12-03 | 2011-12-27 | Palo Alto Research Center Incorporated | Systems and methods for solving multiple interacting state-space search problems |
| US8145334B2 (en) * | 2008-07-10 | 2012-03-27 | Palo Alto Research Center Incorporated | Methods and systems for active diagnosis through logic-based planning |
| US8266092B2 (en) * | 2008-07-10 | 2012-09-11 | Palo Alto Research Center Incorporated | Methods and systems for target value path identification |
| KR101223569B1 (ko) * | 2012-06-01 | 2013-01-17 | 주식회사 내담씨앤씨 | 단계적 제품 산출 과정의 싱글페깅 기반 제품 공급량 계획 장치 |
| EP3358431A1 (de) * | 2017-02-07 | 2018-08-08 | Primetals Technologies Austria GmbH | Ganzheitliche planung von produktions- und/oder wartungsplänen |
| WO2020054047A1 (ja) * | 2018-09-14 | 2020-03-19 | 日本電気株式会社 | 情報処理装置、生産計画決定方法、及びプログラムが格納された非一時的なコンピュータ可読媒体 |
| US12547973B1 (en) * | 2020-03-02 | 2026-02-10 | Blue Yonder Group, Inc. | System and method of variable-fixing decomposition of supply chain planning problems |
| JP7483563B2 (ja) * | 2020-08-28 | 2024-05-15 | 株式会社日立製作所 | 工場計画装置、工場計画システムおよび工場計画方法 |
-
2021
- 2021-06-10 DE DE102021205910.4A patent/DE102021205910A1/de active Pending
-
2022
- 2022-06-01 US US18/568,512 patent/US20250123615A1/en active Pending
- 2022-06-01 EP EP22734489.2A patent/EP4352580A1/de active Pending
- 2022-06-01 WO PCT/EP2022/064977 patent/WO2022258463A1/de not_active Ceased
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0300456A2 (de) * | 1987-07-24 | 1989-01-25 | Bruce H. Faaland | Ablauffolgeplanungsverfahren und System |
| US5808891A (en) * | 1996-07-30 | 1998-09-15 | International Business Machines Corporation | Method for creating a direct hot charge rolling production schedule at a steel plant |
Non-Patent Citations (1)
| Title |
|---|
| See also references of WO2022258463A1 * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2022258463A1 (de) | 2022-12-15 |
| US20250123615A1 (en) | 2025-04-17 |
| DE102021205910A1 (de) | 2022-12-15 |
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