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Evaluation of a data-model and a free-schemamodel for converting production shop floor datainto information using Relational and NoSQLdata management systems.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Machinery-level control systems and data capture technologies are generating a vast quantity of data about production systems nowadays. However, the majority of these data remain unprocessed occasioning a drawback. Getting insight from data is an important factor for competitive advantage when managing decision-making in the context of operational management or controlling real-time processes in the context of plant floor operators. Therefore, the process between the extraction of data and the delivery of processed data that is meaningful to final users becomes essential. This thesis investigates this gap. At the beginning a general review about informational model in discrete manufacturing is done, joined together with a discussion of the different forms that data can adopt. This lead to an investigation of a general solution for supporting data storage. Two data storage systems are selected and a technical implementation of both is done along with the creation of a web-based tool for visualizing key process indicators. The suggested solutions are not claimed to be complete. Rather, the work in this thesis can serve as a starting point for more exhaustive investigations or as a basis for something that can be extended.

Abstract [sv]

Styrsystem för maskinstatus och olika teknologier för datainsamling genererar nu för tiden en stor mängd data i ett produktionssystem. De flesta av dessa uppgifter förblir dock obearbetade vilket är en nackdel. Att få insikt/kunskap via data är någotsom är viktigt för att erhålla konkurrensfördelar när man hanterar beslutsfattande i operativsystem eller när man vill styra/kontrollera realtidsprocesser för operatörerna på fabriksgolvet. I detta sammanhang är processen mellan extraherandet av information och leveransen av relevant processdata till slutanvändaren av stor betydelse. Detta examensarbete undersöker detta gap. Arbetet inleds med en generell genomgång av informationsmodeller vid detaljtillverkning kopplat till en diskussion om i vilka olika former data kan förekomma i. Detta ledde fram till sökandet efter en generell lösning som kan stödja datalagring. Två olika datalagringssystem har valts ut och en teknisk implementering av båda genomförts tillsammans med skapandet av ett web-baserat verktyg för visualisering av viktiga processindikatorer, KPI (“Key Point Indicators”). De föreslagna lösningarna gör inte anspråk på att vara kompletta. Arbetet i detta examensarbete ska snarare ses som ett avstamp för ytterligare undersökningar eller som bas för utökade tester.

Place, publisher, year, edition, pages
2016. , 97 p.
Series
Degree Project in Production Engineering Management, Second Level, 672
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-189429OAI: oai:DiVA.org:kth-189429DiVA: diva2:945968
Supervisors
Examiners
Available from: 2016-07-04 Created: 2016-07-04 Last updated: 2016-07-04Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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