Patent Description:
Currently there is a trend of digitalization in the industry domain. Hence, e.g. a manufacturing process for a product may be digitally controlled. For describing several facets of this trend, the term "Industry <NUM>" (in German: "Industrie <NUM>") is a commonly used term. It has become not only a major part of today's industry, but it also drives the business in many industrial domains.

Considering complex industrial plants, the industrial plants usually comprise distinct parts, modules or units with a multiplicity of individual functions. Exemplary units include sensors and actuators. The units and functions have to be controlled and regulated in an interacting manner. They are often monitored, controlled and regulated by automation systems, for example the Simatic system of Siemens AG. The units can either exchange data directly with one another or communicate via a bus system. The units are connected to the bus system via parallel or, more often, serial interfaces.

The increasing degree of digitalization allows for manufacturing or industrial installation of products in a production line of the industrial plant to be performed by robot units or other autonomous units in an automatic manner and thus efficiently at least in part up to now.

However, with the increasing degree of digitalization it remains a challenge to manufacture enough products meeting the customer demand, but without incurring an excess of products or without an unfavorable production sequence of products and, hence, unnecessary costs.

A further challenge lies in the optimal selection of the type, sequence and the number of products, in particular the raw products or other inventory items in e.g. warehouses of industrial plants. This selection has to be optimized to minimize both warehousing and consequential costs. These factors are severely influenced by contractual terms of a contract e.g. stipulated by a supplier.

Thereby, a contract can be interpreted in the common sense of the term as a legally binding agreement between two contractual parties, e.g. a manufacturer, the aforementioned supplier and a customer. Accordingly, the contracts can be split e.g. into supplier contracts and customer contracts. Examples of such contracts are listed further below. Further, the contract specifies the contractual object and further circumstances in the form of the aforementioned contractual terms, such as delivery date and warranty. In other words, the contract in this case involves the exchange of the contractual object, such as a manufactured product or raw product.

The contract specifies the rights and obligations of the parties to the agreement. The contract can be legally enforceable because it meets the requirements and approval of the law. In the event of breach of contract, the law awards the injured party access to such as damages and cancellation.

Referring to the exemplary product as contractual object, the manufacturer agrees to deliver the product to the customer at an agreed delivery date and in the agreed quality, which is defined in the contract. The customer has to pay an agreed price for the delivered product, which is also defined in the contract.

Further exemplary contractual terms are listed in the following. The product types, such as raw product or end-product are each marked with P in the following for simplification and better understanding.

The contractual terms can also be subject to negotiation between the manufacturer and the suppliers, or a choice can be made among possible suppliers offering the same type of raw products but with different contractual terms.

According to prior art, the production lines of the industrial plants are configured based mainly on technical concerns like e.g. the manufacturing of end-product P needs amount Y of raw product. The contractual criteria in the form of the contractual terms are not dealt with in an integrated and automated manner by the industrial plant and essential aspects are neglected in prior art.

The reason is the following:
Prior art approaches use incomplete, insufficient and oversimplified means for modeling and evaluation since the known approaches cannot deal with the complex interrelations of contractual, commercial and production aspects. For instance, the decision of prioritization of feedstock planning and production activities is usually achieved by persons in charge who rely on past experience and best practice up to now. Thus, the manual feedstock planning is error-prone since it relies on the subjective experience.

Hence, in other words, approaches according to prior art tend to be overly simplified, informal and thereby do not support the complexity of today's smart and distributed production lines.

It is therefore an objective of the present invention to provide a computer-implemented method for determining contractual output data in response to a contract request in an efficient and reliable manner.

Document <CIT> relates to a contractual terms determining method for product e.g. tire, manufacturing company, involves determining contractual term and governing performance of engineering company, consumer and operating company.

Document <CIT> relates to a supply chain execution system that has server executing out-sourced supply chain tool with network links to manufacturing division and trading partner systems. Document <CIT> relates to a system used for enabling lending transactions, has crowd sourcing request circuit structured to construct no less than one parameter of crowd sourcing request.

This problem is according to one aspect of the invention solved by a computer-implemented method for determining contractual output data in response to a contractual request, comprising the steps.

Accordingly, the invention is directed to a method for determining contractual output data in response to a contractual request in context of Industry <NUM> and industrial plants. The contractual request can be directed to requesting one or more contracts or other contractual information meeting the specified contractual requirement. Preferred embodiments are explained further below. Hence, the contractual output data, in this case, comprises the requested contract or any other information related to the contract or technical information.

In the first steps a. , the input data sets are provided or received as input for the optimization step g. , namely the contractual request with the respective specified contractual requirement, contracts and technical information. The contracts and technical information are defined in a domain-specific language. The input data sets can be received and/or transmitted via one or more interfaces of a technical unit, wherein the technical unit can be designed as any computing unit.

The contractual requirement can be considered as condition, term or clause which has to be fulfilled. This contractual requirement can be defined or specified by a user, such as an expert in the field of Industry <NUM> and hence industrial plants. For example, the expert can request the contractual output data for diverse use cases, which are explained further below. Thus, the contractual output data can depend on the contractual request.

The contracts can be predefined, stored in a storage unit and/or retrieved from the storage unit as kind of reference data or templates.

The technical information can comprise any information related to or associated with any plant or device. Preferably, the plant is allocated to the field of Industry <NUM> and is hence an industrial plant. For example, the technical information can describe the required number and type of raw products to manufacture the end product including information like the risk of a warranty claim from the customer, or the possible number of manufactured end products per unit time.

These input data sets are used to determine and provide the contractual output data in response to the received contractual request using an optimization algorithm. Examples of such an optimization algorithm include linear or nonlinear optimization algorithms, where the objective function is the expected profit gained by the manufacturer from executing a given production order, and the optimization variables is the offered warranty duration, or the offered order price. In this context, constraints on the optimization variables like e.g. legal requirements on the minimum warranty duration may apply. If the sequence of raw materials selected from the inventory is subject to optimization, then this may represent a mixed-integer optimization program. Thereby, the optimization is performed in the manner that the contractual output data meet contract request and the specified contractual requirement.

In one aspect the contractual object is a product of a production line of an industrial plant or other item regarding industrial manufacturing or industrial installation.

In another aspect the plurality of contracts comprises at least one contract between at least two parties selected from the group comprising:.

In another aspect the contractual output data comprises at least one data element selected from the group comprising:.

In another aspect the at least one contractual term is a term selected from the group comprising:
date of delivery, liquidated damage, penalty in case of delayed delivery, price of the contractual object, related costs, amount of the contractual object and duration of a warranty period. Accordingly, the contractual term can be selected in a flexible manner according to the specific application case, underlying technical system and user requirements.

In another aspect, the at least one specified contractual requirement is a requirement selected from the group comprising:
specified date of delivery, specified liquidated damage, or penalty in case of a delayed delivery, specified price of the contractual object, specified amount of the contractual object and specified duration of a warranty period.

In another aspect the adaptation is an increase, decrease, extension or limitation of the contractual requirement.

In another aspect the contractual requirement is a contract option or any other constraint.

In another aspect the adaptation is an addition or removal of the contract option or any other constraint to the contract or from the contract. Accordingly, the contractual requirement can also be an option, which can be flexibly added or removed according to the specific application case, underlying technical system and user requirements.

In another aspect the method further comprises the step of performing at least one action.

In another aspect at least one action is selected from the group, comprising:.

Accordingly, the input data, data of intermediate method steps and/or resulting output data can be further handled. The output data is in particular the contractual output data. The output data can additionally comprise part of the input data e.g. contractual request, contractual requirement and details about the optimization. One or more actions can be performed. The action can be equally referred to as measure.

These actions can be performed by one or more technical units, such as computing unit or robot unit. The actions can be performed gradually or simultaneously. Actions include e.g. storing and processing steps. The advantage is that appropriate actions can be performed in a timely manner.

According to one preferred use case, the contractual object can be manufactured and/or installed in a production line of an industrial plant in an autonomous manner and in line or in accordance with the contractual output data. Moreover, according to one preferred use case, the industrial plant or its units can be designed or planned in accordance with the contractual output data. According to another preferred use case, the raw material can be selected from the inventory in accordance with the contractual output data. According to a yet another preferred use case, the raw material can be manufactured by suppliers with properties as specified by contractual requirements that are in accordance with the contractual output data.

A further aspect of the invention is a technical unit for performing the aforementioned method.

The technical unit may be realized as any device, or any means, for computing, in particular for executing a software, an app, or an algorithm. For example, the unit may comprise a central processing unit (CPU) and a memory operatively connected to the CPU. The unit may also comprise an array of CPUs, an array of graphical processing units (GPUs), at least one application-specific integrated circuit (ASIC), at least one field-programmable gate array, or any combination of the foregoing. The unit may comprise at least one module which in turn may comprise software and/or hardware. Some, or even all, modules of the unit may be implemented by a cloud computing platform.

A further aspect of the invention is a computer program product directly loadable into an internal memory of a computer, comprising software code portions for performing the steps according to the aforementioned method when said computer program product is running on a computer.

In the following detailed description, presently preferred embodiments of the invention are further described with reference to the following figures:
<FIG>. illustrates a flowchart of the method according to the invention.

<FIG> illustrates a flowchart of the method according to the invention with the method steps S1 to S8. The method steps will be explained in the following in more detail.

First, the contractual request and the contracts are received as input data S1 to S4. The contracts are contracts between at least two contractual parties A and B, e.g. supplier contracts and customer contracts about a contractual object P. Exemplary contracts are listed in the following. Moreover, technical information is provided as additional input data S5, S6.

Referring to the aforementioned preferred embodiment of an industrial plant, the technical information can be associated with the industrial plant itself or to its units, such as warehouse facility or other storage facility. More specifically, the technical information can comprise information about the size or storage capacity of the facility.

In other words, the input data comprises both the contractual information and the technical information.

This input data is used to determine and provide the optimized contractual output data in response to the received contractual request by means of optimization S7, S8.

Exemplary use cases are listed in the following:
Use cases:.

Claim 1:
A computer-implemented method for determining optimized contractual output data in response to a contractual request, comprising the steps:
a. Receiving the contractual request with at least one specified contractual requirement to be met requesting the contractual output data (S1);
b. Providing a plurality of contracts or contractual alternatives of at least one contract about a contractual object (S2); wherein
c. each contract is defined in a domain-specific language (S3); wherein
d. each contract comprises at least one contractual term regarding the respective contractual object (S4);
e. Providing technical information regarding an industrial plant or associated unit (S5); wherein
f. the technical information is defined in a domain-specific language (S6);
characterized in that:
g. Determining contractual output data in response to the received contractual request using an optimization algorithm based on the plurality of contracts or the contractual alternatives and the technical information in accordance with the contract request and specified contractual requirement (S7);
h. Providing the determined contractual output data (S8) to a production line of the industrial plant; and
i. Manufacturing the contractual object associated with the determined contractual output data in the production line of the industrial plant in accordance with the determined contractual output data and any other related data, wherein the contractual object is a product of a production line of an industrial plant.