Cherbaka, Natalie S

Roidl, Moritz

English

Georgia Southern University: Digital Commons@Georgia Southern

Breakout Session A-3: Digital Continuum in Logistics Lead: Moritz Roidl; Scribe: Natalie Cherbaka Participants: Yossi Bukchin, Banu Yetkin Ekren, Anike Murrenhoff, Sadan Kulturel-Konak, Jennifer Pazour Summary of key ideas discussed  Primary topic: Defining the Digital Continuum 1. How is the human involved in the digital space - defining the system, identifying the disruptions and states, defining and updating needs/objectives 2. What is the value of the continuum beyond traditional simulation? a. Real time and quality of data b. Physical control c. Operational control d. Financial control e. Control is dependent on the system level (e.g. robot vs SC)  and data accessibility f. Design vs. Operations - we focused on operations and management instead of design influences 3. Extensions and value beyond a warehouse a. Identifying disruptions in supply chains b. Capturing SME inputs and decisions  Additional notes and details of discussion 1. “Digital Continuum” a. Continuum - sequence of elements that follow each other, limits are different, but similar elements b. Digital continuum - connects physical and virtual worlds, such that the virtual and real worlds are indistinguishable.  Virtual world decisions control physical world. 2. What objects do we need to imitate - defining state changes - is this necessary?  Have ML learn the process.  Needs to dynamically learn the system and behavior. 3. Human involvement a. Defining of the system b. Identifying potential disruptions c. Control mechanisms - e.g. create a copy to then run a predictive model d. Defining the actions and action space of the system - different levels of inputs, e.g. system level or object level decisions 4. Simulation vs Digital Twin a. Model creation is continuous and accurate b. Information flows both directions  5. Identifying difference between DT and CPS - MLA 6. What data is really needed for logistics, states 7. Related work a. Capturing SME feedback b. SCM stress tests - identification and decision making 8. “Financial Digital Twin” a. Determine the costs of each action b. Live view of the current costs c. Feedback loop for pricing negotiations d. Rules of engagement - decisions for market bidding 9. How do we use the live data? a. Parameter optimization vs. policy optimization  (e.g. changing the values of S,s vs changing from S,s to Q,R) b. Updating regulations c. When to make decisions?  How many simulations should run? - Goes back to defining disruption points. 

Breakout Session A-3:  Digital Continuum in Logistics

https://digitalcommons.georgiasouthern.edu/cgi/viewcontent.cgi?article=1108&context=imhrc

Breakout Session A-3: Digital Continuum in Logistics

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Georgia Southern University: Digital Commons@Georgia Southern