WO2018168310A1 - Système, procédé et programme de gestion de processus de fabrication - Google Patents

Système, procédé et programme de gestion de processus de fabrication Download PDF

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Publication number
WO2018168310A1
WO2018168310A1 PCT/JP2018/005288 JP2018005288W WO2018168310A1 WO 2018168310 A1 WO2018168310 A1 WO 2018168310A1 JP 2018005288 W JP2018005288 W JP 2018005288W WO 2018168310 A1 WO2018168310 A1 WO 2018168310A1
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Prior art keywords
event
work
information
time
lead time
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PCT/JP2018/005288
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English (en)
Japanese (ja)
Inventor
敏 中村
亮介 佐々木
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Necソリューションイノベータ株式会社
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Priority to JP2019505790A priority Critical patent/JP6750800B2/ja
Publication of WO2018168310A1 publication Critical patent/WO2018168310A1/fr

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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Definitions

  • the present invention relates to a production process management system, a production process management method, and a production process management program for managing a production process.
  • Patent Document 1 describes a schedule management device capable of managing a plan for each process and a plan for each part at the same time.
  • the schedule management device determines a current process of entity information based on the information, and based on the production schedule. The current process of the pacemaker is determined, and the entity information and the pacemaker are displayed.
  • Patent Document 2 describes a production system that grasps the production performance status of each process in the production line.
  • individual workpieces are identified by monitoring images of the workpieces flowing on the production line, and information such as work data and quality data values collected from the control device in each process is based on the identification. By recording, feedback control is performed to grasp the status of each process.
  • an object of the present invention is to provide a production process management system, a production process management method, and a production process management program that can easily manage the lead time for each event that occurs in the production process.
  • the production process management system detects that an object has entered a predefined work place or has come out of the work place, identification information of the object, detection date and time, and work place.
  • An event that represents the content of the event by determining the event performed on the target object by combining the work result generation unit that generates the work result that associates the work results and the multiple work results generated at each work place.
  • An event information generating unit that generates information
  • a trace information generating unit that generates trace information indicating the occurrence or change of an object in the production process based on the event information
  • each trace information based on the event information and the trace information
  • the actual time of each event is calculated based on the detection date and time included in the work result corresponding to the event, and the lead time calculation unit calculates the lead time by adding the actual time for each object. .
  • the production process management method detects that an object has entered a predetermined work place or has come out of the work place, identification information of the object, detection date and time, and work place. Is generated, event information that represents the contents of the event is generated by combining the multiple work results generated at each work location, determining the event performed on the target object, When generating trace information indicating the occurrence or change of an object in the production process based on the information, calculating the lead time for each trace information based on the event information and the trace information, and generating the event information, the event information As a result, the actual time of each event is calculated based on the determined event and the detection date and time included in the work result corresponding to the event. The was added to each object, and calculates the lead time.
  • the production process management program detects that an object has entered a predefined work place or has been output from the work place, and the identification information of the object, the detection date and time. And a work performance generation process that generates work results in which work locations are associated with each other, a plurality of work results generated at each work location are combined, an event performed on the target object is determined, and the contents of the event are determined.
  • Event information generation process for generating event information to represent, trace information generation process for generating trace information indicating the occurrence or change of an object in the production process based on event information, and trace based on event information and trace information Execute the lead time calculation process to calculate the lead time for each information, and the event information generation process As a report, the actual time of each event is calculated based on the determined event and the detection date and time included in the work performance corresponding to that event, and the lead time is calculated by adding the actual time for each target in the lead time calculation process. Is calculated.
  • the lead time for each event that occurs in the production process can be easily managed.
  • FIG. 1 is a block diagram showing an embodiment of a production process management system according to the present invention.
  • the production process management system 100 includes an operation result generation unit 11, an event information generation unit 12, a trace information generation unit 13, a lead time calculation unit 14, a management information output unit 15, and an object information storage.
  • Unit 20 work result storage unit 21, event information storage unit 22, trace information storage unit 23, and lead time storage unit 24.
  • the object information storage unit 20 stores an object to be managed in the production process (hereinafter referred to as an object). Specifically, the object information storage unit 20 stores a unique number that is information for uniquely identifying the object, an item code representing the item of the object, a lot number, and the quantity of the object. When there are a plurality of objects having the same lot number, the object information storage unit 20 may store the branch number (lot branch number) of the lot number. The object is stored in advance in the object information storage unit 20 by a user or the like.
  • the work record generation unit 11 generates a work record based on the position information of the object.
  • information when an object enters a predetermined work place (hereinafter sometimes referred to as a work center) and when the object comes out of the work place is generated as a work record.
  • the event that the object occurs in the work place (for example, material is received in a material warehouse, a product is “generated” in a processing step, etc.)
  • Represents an event of placing an object on the work place for example, “dispensed material is temporarily placed” in a place in the factory, “placed” product in a product warehouse, etc.).
  • an object comes out of the work place, it means that the object has been taken out of the work place (for example, “material has been“ paid out ”from the material warehouse, product has been carried out” from the processing process), The event that the object is lost (for example, the material has been used up, the product has been shipped, etc.), the quantity of the object has been changed (for example, only the necessary amount is paid out from the materials ordered together (material) Lot division)).
  • the method of defining the work place is arbitrary.
  • the work place may be defined by coordinate values (X coordinate, Y coordinate, Z coordinate), or the work place may be defined by an arbitrary area code that can specify the place.
  • the work record generation unit 11 detects that an object has entered a predefined work place or has come out of the work place, and identifies the object identification information (unique Number), detection date and time, and work result are generated.
  • the detection date and time may be represented by, for example, a 14-digit character string in the YYYYMMDDhh24mmss format.
  • the method by which the work result generation unit 11 detects the transition of the object is arbitrary.
  • the work record generation unit 11 may detect the transition of the object when the barcode is read by a barcode reader.
  • the work record generation unit 11 detects the transition of the object when the information of the IC chip is read. Also good.
  • the work record generation unit 11 may generate a work record in response to the input of the contents of the actual product slip issued when the person in charge accepts it.
  • the work record generation unit 11 registers the generated work record in the work record storage unit 21.
  • the event information generation unit 12 determines an event performed on the target object by combining a plurality of generated work results. Examples of events include “storage”, “transport”, “processing” and the like of an object.
  • the event is determined based on a location category set in advance for each work location or a change in location of the performance information. Therefore, the event information generation unit 12 determines an event performed on the target object by combining a plurality of work results from events determined according to the divisions set in advance for each work place.
  • FIG. 2 is an explanatory diagram showing an example of location classification.
  • FIG. 3 is an explanatory diagram illustrating an example of an event associated with a location category. For example, in the “work center 1” indicated by the location classification “03” illustrated in FIG. 2, referring to FIG. 3, the events “transportation”, “processing”, and “assembly” may occur. . The three events are distinguished by the contents described in “Description” in FIG.
  • “storage” illustrated in FIG. 3 indicates “a state from when a material is received in a material warehouse until it is delivered to a factory”.
  • “storage” can be said to be a state in which work results for a certain object exist in past work results at the same place. Therefore, when the work record for the object exists in the past work record at the same work place, the event information generation unit 12 determines that the object is an event in which the object stays (that is, is stored).
  • processing illustrated in FIG. 3 indicates that “one different type of object is created from one type of object”. Therefore, when the work record for a certain object does not exist in the past work record at the same work place, the event information generation unit 12 changes the object specified by the past work record at the work place to another object. The event is determined to be changed (that is, processed).
  • “assembly” illustrated in FIG. 3 indicates that “one different type of object is made from N types of objects”. Therefore, when there are three or more work results having different identification numbers in the same place, the event information generating unit 12 can identify a plurality of objects identified by the last work result by using other work results. It is determined that the event is generated (that is, assembled) by the target object.
  • “transport” illustrated in FIG. 3 indicates “a state where the object has moved and the location has changed”. Therefore, when there is a work record in which the same object exists in different work places, the event information generation unit 12 moves (that is, is transported) to the different work places. ) Judge that it is an event.
  • the event information generation unit 12 calculates the actual time of each event based on the determined event and the detection date / time of the work performance corresponding to the event.
  • the event information generation unit 12 may determine whether to capture the actual time as the net time or the non-net time according to the event. Whether to capture as net time or non-net time is determined in advance according to the event.
  • the event information generation unit 12 generates event information representing the content of the determined event and registers it in the event information storage unit 22.
  • the event information includes an event type for identifying the event, objects before and after the event, work place and date, and calculated actual time.
  • the event information may include information indicating whether the work performance time is captured as net time or non-net time.
  • the trace information generation unit 13 generates trace information indicating the occurrence or change of an object in the production process based on the determined event (event information). For example, when a new material is accepted as an object, the trace information generation unit 13 generates trace information of the object. In addition, for example, when a new object is generated by an “assembly” event, the trace information generation unit 13 converts the object that is the original material to be assembled into an object that represents the generated new material. Generate trace information.
  • FIG. 4 is an explanatory diagram showing an example of trace information.
  • the trace information generation unit 13 since an object identified by the unique number “1” is generated, the trace information generation unit 13 generates the trace information for tracing the information with the trace ID “T1”. Further, since the object identified by the unique number “2” is generated from the unique number “1” and newly generated, the trace information generating unit 13 sets the trace information for tracing the two pieces of information as the trace ID “T2”. It shows that it was generated by.
  • the trace information generation unit 13 registers the generated trace information in the trace information storage unit 23.
  • the lead time calculation unit 14 calculates the lead time for each trace based on the event information and the trace information. Specifically, the lead time calculation unit 14 calculates the lead time by adding the calculated actual time of each event for each object. When it is distinguished whether the actual time is regarded as net time or non-net time, the lead time calculation unit 14 calculates the lead time by adding the actual time for each net time and each non-net time. May be.
  • the lead time calculation unit 14 may calculate the lead time per piece by dividing the lead time by the number of objects included in the object.
  • the lead time calculation unit 14 registers the calculated lead time in the lead time storage unit 24.
  • the management information output unit 15 outputs the lead time of the object.
  • the management information output unit 15 may output a lead time for each process of the object.
  • FIG. 5 is an explanatory diagram showing an example in which the lead time of an object is visualized. The example shown in FIG. 5 indicates that a predetermined work process (for example, processing / assembly / inspection process) is set on the horizontal axis, and time is set on the vertical axis.
  • a predetermined work process for example, processing / assembly / inspection process
  • the work result generation unit 11, the event information generation unit 12, the trace information generation unit 13, the lead time calculation unit 14, and the management information output unit 15 are performed by a CPU of a computer that operates according to a program (production process management program). Realized.
  • the program is stored in a storage unit (not shown) included in the production process management system, and the CPU reads the program, and according to the program, the work result generation unit 11, the event information generation unit 12, and the trace information generation unit 13
  • the lead time calculation unit 14 and the management information output unit 15 may be operated.
  • the work result generation unit 11, the event information generation unit 12, the trace information generation unit 13, the lead time calculation unit 14, and the management information output unit 15 may each be realized by dedicated hardware.
  • the object information storage unit 20, the work performance storage unit 21, the event information storage unit 22, the trace information storage unit 23, and the lead time storage unit 24 are realized by, for example, a magnetic disk.
  • FIG. 6 is a flowchart showing an operation example of the production process management system of the present embodiment.
  • the work record generation unit 11 detects that an object has entered or exited the work place, and generates a work record (step S11).
  • the event information generation unit 12 determines an event performed on the object by combining a plurality of work results generated at each work place (step S12). Then, the event information generation unit 12 generates event information representing the contents of the event (step S13).
  • the trace information generation unit 13 generates trace information indicating the occurrence or change of the object in the production process based on the event information (step S14).
  • the lead time calculation unit 14 calculates the lead time for each piece of trace information based on the event information and the trace information (step S15).
  • the management information output part 15 outputs the lead time of a target object (step S16).
  • FIG. 7 is an explanatory diagram illustrating an example of a business scene assumed in this specific example.
  • FIG. 8 is an explanatory diagram showing an example of work results generated in each scene illustrated in FIG. In this specific example, it is assumed that the transition of the object is handled on the actual product slip for the sake of simplicity.
  • the material purchased by the person in charge is received into the material warehouse (acceptance).
  • the unique number of the received material is “00001”
  • the item code is “ITEM_A”
  • the lot number is “LOT001”
  • the lot branch number is “001”
  • the object of item A is referred to as object A.
  • the person in charge issues the material from the material warehouse (dispensing).
  • the work record generation unit 11 generates the work record (2) illustrated in FIG.
  • the person in charge enters the material in the storage / warehouse (start of storage).
  • the work result generation unit 11 generates the work result (3) illustrated in FIG.
  • the person in charge takes out the material from the storage (end of storage).
  • the work record generation unit 11 When the person in charge leaves three objects A from the factory storage area at 10:50 on September 1, the work record generation unit 11 generates the work record (4) illustrated in FIG.
  • the person in charge prepares the material in the machining process (start of machining).
  • start of machining the material in the machining process
  • the work record generation unit 11 generates the work record (5) illustrated in FIG.
  • a product (object of item B) is completed in the processing step (end of processing).
  • the unique number of the object of the item B is “00002”
  • the item code is “ITEM_B”
  • the object of the item B is the object B.
  • the person in charge prepares the material in the assembly process (start of assembly).
  • the person in charge places three objects B next to the work center 02 at 13:00 on September 1st.
  • the person in charge places three objects of the item C next to the work center 02 at 13:05 on September 1.
  • the unique number of the object of the item C is “00003”
  • the item code is “ITEM_C”
  • the object of the item C is the object C.
  • the object C is assumed to be paid out from the warehouse to the assembly process.
  • the work record generation unit 11 generates two work records (9) illustrated in FIG.
  • a product object of item D
  • the unique number of the object of the item D is “00004”
  • the item code is “ITEM_D”
  • the object of the item D is the object D.
  • the person in charge prepares an inspection target product in the inspection process (start of inspection).
  • start of inspection When the person in charge places three objects D at 14:30 on September 1, next to the work center 03, the work record generation unit 11 generates the work record (11) illustrated in FIG.
  • the person in charge ships the product from the product warehouse.
  • the work record generation unit 11 generates the work record (13) illustrated in FIG.
  • the work results illustrated in FIG. 8 are generated.
  • the event information generation unit 12 determines an event performed on the target object by combining the generated work results.
  • FIG. 9 is an explanatory diagram showing an example of a business scene assumed in this specific example for calculating the lead time.
  • the example shown in FIG. 9 does not have the work record of (7) illustrated in FIG. 8 as compared to the examples shown in FIGS. 7 and 8, and the work record of entering and leaving the object C to the material warehouse is low.
  • a work record in which the object D is placed in the product warehouse is added.
  • the event information generation unit 12 determines that the event is “storage”. In the example illustrated in FIG. 8, the event information generation unit 12 determines that the event is “stored” from the work results of (1) and (2) illustrated in FIG. 8, and the actual time is “3600 seconds (1 hour)”. ".
  • the event information generation unit 12 determines that the event is “transport”. In the example illustrated in FIG. 8, the event information generation unit 12 determines that the event is “transport” based on the work results of (2) and (3) illustrated in FIG. 8, and the actual time is “600 seconds (1 hour)”. ".
  • the event information generating unit 12 adopts the time when the material is input as the machining start time.
  • the event information generation unit 12 records the actual time of the event “processing” in the processed object (object B). If the work result of the same object exists as the work result at the previous time, the event information generation unit 12 determines that the event is “storage”, and if not, determines the event as “processing”. . This is because, in the actual product slip newly issued as a result of processing, there should be no work results of the previous time for the same object.
  • the event information generation unit 12 does not generate a “transport” event. At this time, the event information generation unit 12 adds the elapsed time to the actual time to the event information before discarding.
  • FIG. 10 is an explanatory diagram showing an example of generated event information. As illustrated in FIG. 10, six pieces of event information are generated from the work results of (1) to (6) and (8) illustrated in FIG.
  • the trace information generation unit 13 generates trace information based on the event information illustrated in FIG.
  • FIG. 11 is an explanatory diagram illustrating another example of generated trace information.
  • the object B is generated from the object A. Therefore, the trace information generation unit 13 generates three pieces of trace information of the occurrence of the object A, the change from the object A to the object B, and the occurrence of the object B.
  • the lead time calculation unit 14 calculates the lead time for each trace based on the event information illustrated in FIG. 10 and the trace information illustrated in FIG. Specifically, the lead time calculation unit 14 calculates the lead time by adding the actual time for each object specified by the parent_unique number illustrated in FIG. In addition, when there is a distinction between the net time and the non-net time in the actual time, the lead time calculation unit 14 calculates the lead time for each net time and each non-net time. Further, the lead time calculation unit 14 may calculate the lead time including the actual time of the target object (child target object) from which the target object is generated.
  • FIG. 12 is an explanatory diagram showing an example of the generated lead time information.
  • the example shown in FIG. 12 indicates that the trace time is calculated for each object.
  • the net time / non-net time (single) illustrated in FIG. 12 does not include the actual time of the object from which the object is generated, and the net time / non-net time (total) illustrated in FIG. ) also includes the actual time of the object from which the object is generated.
  • storage at work center 01 (3900 seconds) is not subject to addition.
  • the event information generation unit 12 generates event information based on the same process for assembly and inspection to shipment.
  • FIG. 13 is an explanatory diagram illustrating another example of the generated event information. For example, when the object D is assembled from the object B and the object C, two pieces of event information indicating “processing” are generated as illustrated in FIG.
  • the trace information generation unit 13 generates trace information based on the event information illustrated in FIG.
  • FIG. 14 is an explanatory diagram illustrating another example of generated trace information.
  • the object B is generated from the object A
  • the object D is generated from the object B and the object C. Therefore, as illustrated in FIG. 14, the trace information generation unit 13 copies the trace information of the child for the object D, and generates trace information in which the child, grandchild, and great-grandchild are recorded.
  • the lead time calculation unit 14 calculates the lead time for each trace based on the event information illustrated in FIG. 13 and the trace information illustrated in FIG.
  • FIG. 15 is an explanatory diagram showing another example of the generated lead time information.
  • FIG. 15A shows an example of lead time information before assembly
  • FIG. 15B shows an example of lead time information after shipment.
  • the lead time calculation unit 14 calculates the lead time for each of the target object B and the target object C that are children of the target object D, as illustrated in FIG.
  • the work result generation unit 11 detects that the target object has entered the work place or the target object has come out of the work place, generates the work result, and the event information generation unit 12 combines a plurality of work results generated at each work place, determines an event performed on the object, and generates event information representing the content of the event.
  • the trace information generation unit 13 generates trace information indicating the occurrence or change of the object in the production process based on the event information, and the lead time calculation unit 14 determines the trace information based on the event information and the trace information. Calculate the lead time.
  • the event information generation unit 12 calculates the actual time of each event based on the detected event and the detection date and time included in the work performance corresponding to the event as event information, and the lead time calculation unit 14
  • the lead time is calculated by adding time for each object. Therefore, the lead time for each event occurring in the production process can be easily managed. As a result, the lead time can be shortened.
  • FIG. 16 is a block diagram showing an outline of a production process management system according to the present invention.
  • the production process management system 80 according to the present invention has an object entered into a predefined work place (arrival, generation, temporary storage, etc.) or an object has come out of the work place (for example, paying out, carrying out).
  • a work result generation unit 81 for example, work result generation unit 11
  • a work result generation unit 81 for example, work result generation unit 11
  • a work result generation unit 82 for example, event information generation unit 12
  • An event information generation unit 82 that combines a plurality of work results generated at a place to determine an event performed on an object and generates event information representing the content of the event.
  • trace information generation unit 83 (for example, trace information) that generates trace information indicating the occurrence or change of an object in the production process based on the event information A generating unit 13), based on the event information and the trace information, the lead time calculation unit 84 for calculating a lead time for each trace information (for example, and a lead time calculation unit 14).
  • the event information generation unit 82 calculates the actual time of each event based on the detected event and the detection date and time included in the work performance corresponding to the event as event information, and the lead time calculation unit 84 calculates the actual time.
  • the lead time is calculated by adding each object.
  • the event information generation unit 82 determines an event performed on the target object by combining a plurality of work results from events determined according to the divisions set in advance for each work place. Also good.
  • the event information generation unit 82 for an event performed at a work place, when a work record for an object identified by the identification information exists in a past work record at the work place, When it is determined that the target object is an event (for example, storage) and the work record for the target object identified by the identification information does not exist in the past work record at the work place, the past work at the work place You may judge that it is an event (for example, processing) changed from the thing specified by the results to the target object.
  • an event for example, storage
  • the event information generating unit 82 selects the object identified by the last work result as the event performed at the work place. You may judge that it is an event (for example, assembly) generated with a plurality of objects identified by work results other than.
  • the lead time calculation unit 84 may calculate the lead time according to the number of objects (for example, dividing by the number).
  • the production process management system 80 may include a management information output unit (for example, the management information output unit 15) that outputs a lead time for each process of the object.
  • the management information output unit may output the lead time on a graph in which the process of the object is set in the horizontal axis direction and the time is set in the vertical axis direction. According to such a configuration, waste of work for each process can be visualized, and an operator can easily make the determination.

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Abstract

La présente invention concerne une unité de génération de performances d'exploitation (81) qui détecte soit qu'un sujet a pénétré dans un site d'exploitation prédéfini, soit que le sujet a quitté ledit site d'exploitation, et génère des performances d'exploitation dans lesquelles des informations d'identification du sujet ont été associées à la date et à l'heure de leur détection et au site d'exploitation. Une unité de génération d'informations d'événement (82) combine une pluralité d'occurrences des performances d'exploitation qui ont été générées pour chacun des sites d'exploitation, détermine un événement qui a été réalisé par rapport au sujet, et génère des informations d'événement qui représentent des détails dudit événement. Sur la base des informations d'événement, une unité de génération d'informations de traçage (83) génère des informations de traçage qui indiquent soit une apparition du sujet, soit un changement dans ce dernier dans un processus de fabrication. Sur la base des informations d'événement et des informations de traçage, une unité de calcul de délai d'approvisionnement (84) calcule un délai d'approvisionnement pour chaque occurrence des informations de traçage.
PCT/JP2018/005288 2017-03-15 2018-02-15 Système, procédé et programme de gestion de processus de fabrication WO2018168310A1 (fr)

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JP2002073749A (ja) * 2000-08-28 2002-03-12 Matsushita Electric Works Ltd 作業工程分析支援システム
JP2009110108A (ja) * 2007-10-26 2009-05-21 Hitachi Ltd 移動体の管理方法及び管理システム
JP2010191562A (ja) * 2009-02-17 2010-09-02 Hitachi Ltd 作業情報処理装置、プログラムおよび作業情報処理方法
JP2012185779A (ja) * 2011-03-08 2012-09-27 Tokyo Univ Of Science 生産または物流管理装置及び生産または物流管理方法
JP2017068816A (ja) * 2015-09-28 2017-04-06 オムロン株式会社 管理システム

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002073749A (ja) * 2000-08-28 2002-03-12 Matsushita Electric Works Ltd 作業工程分析支援システム
JP2009110108A (ja) * 2007-10-26 2009-05-21 Hitachi Ltd 移動体の管理方法及び管理システム
JP2010191562A (ja) * 2009-02-17 2010-09-02 Hitachi Ltd 作業情報処理装置、プログラムおよび作業情報処理方法
JP2012185779A (ja) * 2011-03-08 2012-09-27 Tokyo Univ Of Science 生産または物流管理装置及び生産または物流管理方法
JP2017068816A (ja) * 2015-09-28 2017-04-06 オムロン株式会社 管理システム

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