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Characterizing Digital Dashboards for Smart Production Logistics

Flores-García, Erik (author)
KTH,Avancerad underhållsteknik och produktionslogistik,KTH Royal Institute of Technology, Södertälje, Sweden,KTH Royal Inst Technol, S-15136 Södertälje, Sweden.
Jeong, Yongkuk (author)
KTH,Avancerad underhållsteknik och produktionslogistik,KTH Royal Institute of Technology, Södertälje, Sweden,KTH Royal Inst Technol, S-15136 Södertälje, Sweden.
Wiktorsson, Magnus, 1971- (author)
KTH,Avancerad underhållsteknik och produktionslogistik,KTH Royal Institute of Technology, Södertälje, Sweden,KTH Royal Inst Technol, S-15136 Södertälje, Sweden.
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Kwak, Dong Hoon (author)
Seoul National University, Seoul, South Korea,Seoul Natl Univ, Seoul 08826, South Korea.
Woo, Jong Hun (author)
Seoul National University, Seoul, South Korea,Seoul Natl Univ, Seoul 08826, South Korea.
Schmitt, Thomas (author)
Uppsala universitet,Institutionen för samhällsbyggnad och industriell teknik,Scania CV AB, S-15138 Södertälje, Sweden.
Hanson, Lars (author)
Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,Scania CV AB, S-15138 Södertälje, Sweden.;Univ Skövde, S-54128 Skövde, Sweden.,Användarcentrerad produktdesign, User Centred Product Design
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 (creator_code:org_t)
2022-09-17
2022
English.
In: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. - Cham : Springer Nature Switzerland AG. - 9783031164101 - 9783031164118 ; , s. 521-528, s. 521-528
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Developing digital dashboards (DD) that support staff in monitoring, identifying anomalies, and facilitating corrective actions are decisive for achieving the benefits of Smart Production Logistics (SPL). However, existing literature about SPL has not sufficiently investigated the characteristics of DD allowing staff to enhance operational performance. This conceptual study identifies the characteristics of DD in SPL for enhancing operational performance of material handling. The study presents preliminary findings from an ongoing laboratory development, and identifies six characteristics of DD. These include monitoring, analysis, prediction, identification, recommendation, and control. The study discusses the implications of these characteristics when applied to energy consumption, makespan, on-time delivery, and status for material handling. The study proposes the prototype of a DD in a laboratory environment involving Autonomous Mobile Robots. 

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik -- Miljöledning (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Environmental Engineering -- Environmental Management (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Annan samhällsbyggnadsteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Other Civil Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Annan maskinteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Other Mechanical Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Robotteknik och automation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Robotics (hsv//eng)

Keyword

Energy utilization
Mobile robots
Navigation
Autonomous Mobile Robot
Conceptual study
Corrective actions
Digital dashboard
Laboratory development
Material handling
Operational performance
Production logistics
Smart production logistic
Support staff
Materials handling
Autonomous mobile robots
Digital dashboards
Smart production logistics
User Centred Product Design
Användarcentrerad produktdesign
Industrial Engineering and Management

Publication and Content Type

ref (subject category)
kon (subject category)

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