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WO2019120341A1 - Système de surveillance de la production - Google Patents

Système de surveillance de la production Download PDF

Info

Publication number
WO2019120341A1
WO2019120341A1 PCT/DE2017/000371 DE2017000371W WO2019120341A1 WO 2019120341 A1 WO2019120341 A1 WO 2019120341A1 DE 2017000371 W DE2017000371 W DE 2017000371W WO 2019120341 A1 WO2019120341 A1 WO 2019120341A1
Authority
WO
WIPO (PCT)
Prior art keywords
production
market
resources
factory
logistics
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.)
Ceased
Application number
PCT/DE2017/000371
Other languages
German (de)
English (en)
Inventor
Jens MONSER
Nina MONSER
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Priority to DE112017008177.7T priority Critical patent/DE112017008177A5/de
Application filed by Individual filed Critical Individual
Priority to PCT/DE2017/000371 priority patent/WO2019120341A1/fr
Publication of WO2019120341A1 publication Critical patent/WO2019120341A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Definitions

  • the program must be able to receive the output of the various tools in a single language, and so on one data
  • the program cross-site creates a virtual factory that captures every single part (independent of the production site) and forwards its data (hourly recording of production output) to the virtual factory.
  • the virtual factory is equipped with parameters that represent ideal production of the components. Due to the ideal state and the constant input, the program is capable of using prediction algorithms disruptions
  • a subapplication can track the GPS data of deliveries and match it with traffic information. Thus, predictions for the arrival of deliveries can be made.
  • Another subapplication records the utilization of logistics in order to anticipate possible disruptions that may result. It is possible at every critical point of the supply chain not only to detect any damage, but also to determine its extent and corresponding
  • measures for quality assurance sorting, cleaning, reworking
  • measures for quality assurance sorting, cleaning, reworking
  • cockpits dominate the market.
  • the functioning of these cockpits is limited to the collection and processing of the data of a factory / factory / manufacturer. These data are more or less completely related to each other in order to
  • KPIs Key Performance Indicators
  • Programs allows a specific view per user.
  • a plant manager needs an overview of the production lines, which offers no further details, whereas the line master needs every detail of his line in the view.
  • Plant and department managers see who is responsible for a problem, the person in charge sees for himself where the problem arises and can fix it.
  • the common performance management cockpits have universal interfaces for connecting third-party applications, an intuitive user interface, a location-independent access (cloud system) and a strong analytical application in the background, optimally consisting of an in-memory database, the can process larger amounts of data with high performance. Systems of this kind are offered for example by large software manufacturers. The analysis of tool performance or wear is mostly done by the
  • the system is an innovative advancement that combines existing components to create a new value.
  • a complex end product is indeed produced within a plant, the individual
  • the system automatically calculates the maximum output of the virtual factory. This is regularly compared with the actual needs of the final producer. If this differs positively from the maximum output size, the final producer can define a parameter for an estimated demand and produce a buffer on this basis. If it deviates negatively, the end producer must analyze with the system whether he has the
  • the system alerts the person responsible at the destination when an unforeseeable event (full closure, unusually high traffic volume) delays the delivery.
  • the second aspect requires two things: Firstly, there must be free in the system
  • Subcontractors receive their own production data.
  • the constellation means that data security is guaranteed at all times. Because every transfer of data takes place only with explicit release and always via the system as a stopover.
  • the system simultaneously manages two fundamentally different areas: the planned and the spontaneous business.
  • the planned business is based on firm agreements and a certain amount of partners. It is the normal core business that can be planned almost 100% through the connection in the system and is always controllable and customizable.
  • the spontaneous business is the exact opposite. Since every participant can enter into a spontaneous and temporary connection with every other participant, this business can not be planned, it can only be controlled. It's dynamic, it promotes new ones
  • the chaos-led storage system of the worldwide resources of the companies belonging to the Monser system enables an intelligent distribution of resources (processing including logistics managed by the system).
  • processing including logistics managed by the system.
  • the ordered products follow a predictable, regular process between the manufacturers, logistics companies and the final production. All processes are recorded in the system so that unplanned disruptions are immediately communicated to all involved. This allows productions along the supply chain to be planned alternatively. This reduces downtime and losses.
  • the processes of overproduction also run through the system. Here are 2 essential components recorded and controlled:
  • the overproduction / under-utilization can be offered in the market of the system. There it is available for every participant. In the market, goods can be sold in all directions. From manufacturer to manufacturer, from manufacturer to
  • Final production but also from the final production to the manufacturer.
  • This overproduction may be commodity whose market price is changing rapidly, such as aluminum, where too long storage may mean a loss to raw materials like
  • Cotton which can spoil by too long or wrong storage.
  • free loading capacities or entire means of transport can be offered or rent via the market.
  • manufacturer 2 owns a truck that he does not currently use
  • manufacturer 3 who does not own one, can rent it through the market and use it at times.
  • manufacturer 2 it would also be possible for manufacturer 2 to use the truck only partially and manufacturer 1 (excluding trucks) with the remaining available cargo area on a) the same route, b) a part of the same route and destination on the originally planned route or c) one Leg starting with the originally planned route and the same destination; or d) a leg where the start and finish lie within the planned route.
  • Another option is to pick up goods at transhipment points or transshipment points.
  • the system is purchased in the basic version, which optimizes production planning and control. This version is purchased per site and has as many accesses as needed within that location.
  • the secured system has a secure
  • Each retrieval of a service / goods from the market costs a fee.
  • the provision of services / goods is free of charge. It is possible to subscribe to offers of certain services / goods. In that case, the Subscriber will receive an email notification for each new offer that is being posted. There is a fee per subscription for this service. However, the fee per call will be waived if the call is made from one of the subscribed offers.
  • the system can also provide intelligent resource management. Again, the basis is the placement of supply / demand in the market of the system.
  • Supplier A has produced out of turn because of a good opportunity.
  • the resource used cotton is still available in some quantity. Since the temporary production change has come to an end and the resource cotton is no longer needed, supplier A wants to sell the cotton as long as the quality has not suffered from too long storage.
  • Supplier A puts the cotton in the market of the system. Every supplier who regularly processes cotton now has the opportunity to buy the resource directly. If neither supplier A nor the buyer has immediate transportation, the logistics management of the system can solve this problem. Existing resources are optimally used by the possibilities of the system, over-stocks are avoided and storage places for more important resources free.
  • the resource management also offers the management and offering of production capacities. In the case of an unscheduled shortfall, the free production capacity can be circumscribed and offered through the market.
  • the advantage for medium-sized companies and micro-enterprises is another way to compensate for under-utilization in the event of a bad order situation.
  • the advantage for end producers is that unpredictable events cut them off from the flow of goods of a planned and secured part. A fire in a forge, for example, can cause a headache for an OEM if the part made there is not available for the foreseeable future.
  • several smaller blacksmiths can cross the market

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Theoretical Computer Science (AREA)
  • General Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Quality & Reliability (AREA)
  • Development Economics (AREA)
  • Operations Research (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Manufacturing & Machinery (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

L'industrie ne dispose pas d'une mise en réseau qui permet une utilisation intelligente et judicieuse des rares ressources mondiales, qu'elles soient matérielles ou humaines. La solution selon l'invention porte sur un programme réunissant toutes les ressources nécessaires et leurs propriétaires pour rendre la production aussi efficace que possible de telle sorte que les matériaux peuvent être utilisés au niveau le plus élevé possible et les temps d'arrêt de production peuvent être pratiquement éliminés. L'invention permet ainsi également de planifier efficacement la main-d'œuvre, d'éviter les heures supplémentaires, d'améliorer l'équilibre travail-vie personnelle et de commander de manière presque idéale la production générale. L'environnement est également épargné, des voyages à vide ou un chargement partiel dans la logistique sont ainsi évités et le gaspillage de ressources est limité. Toute production dans toutes les usines peut être commandée comme si elle s'effectuait dans une usine. Le flux d'informations et le flux de travail sont optimisés à un point tel que la prévisibilité des postes de planification individuels rend un événement imprévu presque impossible. Industrie 5.0 exploite les acquis de la numérisation pour rendre la production et la main-d'œuvre commandables à approximativement 100%.
PCT/DE2017/000371 2017-12-21 2017-12-21 Système de surveillance de la production Ceased WO2019120341A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
DE112017008177.7T DE112017008177A5 (de) 2017-12-21 2017-11-03 Produktionsüberwachungssystem
PCT/DE2017/000371 WO2019120341A1 (fr) 2017-12-21 2017-12-21 Système de surveillance de la production

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/DE2017/000371 WO2019120341A1 (fr) 2017-12-21 2017-12-21 Système de surveillance de la production

Publications (1)

Publication Number Publication Date
WO2019120341A1 true WO2019120341A1 (fr) 2019-06-27

Family

ID=61189189

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/DE2017/000371 Ceased WO2019120341A1 (fr) 2017-12-21 2017-12-21 Système de surveillance de la production

Country Status (2)

Country Link
DE (1) DE112017008177A5 (fr)
WO (1) WO2019120341A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112987671A (zh) * 2021-02-26 2021-06-18 天津中德应用技术大学 一种锻压线智能控制系统
CN115423289A (zh) * 2022-08-29 2022-12-02 广东鑫光智能系统有限公司 智能板材加工车间数据处理方法及终端
CN119378765A (zh) * 2024-12-27 2025-01-28 绍兴柯桥昌盛复合布业有限公司 一种基于数据模块的复合布生产管理优化方法及系统

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140156346A1 (en) * 2012-12-04 2014-06-05 Sap Ag Methods and systems for dynamic demand sensing
US20150006732A1 (en) * 2013-06-28 2015-01-01 Sap Ag Generic exposure of enterprise resource planning data using a cloud-based, on-demand service

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140156346A1 (en) * 2012-12-04 2014-06-05 Sap Ag Methods and systems for dynamic demand sensing
US20150006732A1 (en) * 2013-06-28 2015-01-01 Sap Ag Generic exposure of enterprise resource planning data using a cloud-based, on-demand service

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112987671A (zh) * 2021-02-26 2021-06-18 天津中德应用技术大学 一种锻压线智能控制系统
CN115423289A (zh) * 2022-08-29 2022-12-02 广东鑫光智能系统有限公司 智能板材加工车间数据处理方法及终端
CN119378765A (zh) * 2024-12-27 2025-01-28 绍兴柯桥昌盛复合布业有限公司 一种基于数据模块的复合布生产管理优化方法及系统

Also Published As

Publication number Publication date
DE112017008177A5 (de) 2020-10-29

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