A Multi-Round Auction for Staff to Job Assignment Under Myopic Best Response Dynamics

Merz, Felix; Schwindt, Christoph; Westphal, Stephan; Zimmermann, Jürgen

doi:10.1109/ieem45057.2020.9309851

Cited by 2 publications

(2 citation statements)

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“…For a single-stage manufacturing setting, Ref. [148] proposes a descending multi-round auction with capacity constraints where the shop floor personnel compete for tasks while guaranteeing certain processing times. Each worker can only get assigned to a maximum number of tasks and is not allowed to increase his or her bid on any task compared to the preceding round.…”

Section: Optimization and Simulation Of Collaborative Human-machine T...mentioning

confidence: 99%

“…Following a hierarchical planning approach, the problem then would be decomposed into two consecutive decision levels, where the team formation precedes the task assignment and sequencing. For given teams, model [148] can readily be generalized to cover the assignment of tasks to work shifts, which provides the sequence in which the tasks assigned to the same team are executed. An alternative approach consists of incorporating the team formation into the task assignment auction.…”

Section: Integrated Team Formation and Task Sequencing/planningmentioning

confidence: 99%

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Engineering Human–Machine Teams for Trusted Collaboration

Alhaji

Beecken

Ehlers

et al. 2020

BDCC

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The way humans and artificially intelligent machines interact is undergoing a dramatic change. This change becomes particularly apparent in domains where humans and machines collaboratively work on joint tasks or objects in teams, such as in industrial assembly or disassembly processes. While there is intensive research work on human–machine collaboration in different research disciplines, systematic and interdisciplinary approaches towards engineering systems that consist of or comprise human–machine teams are still rare. In this paper, we review and analyze the state of the art, and derive and discuss core requirements and concepts by means of an illustrating scenario. In terms of methods, we focus on how reciprocal trust between humans and intelligent machines is defined, built, measured, and maintained from a systems engineering and planning perspective in literature. Based on our analysis, we propose and outline three important areas of future research on engineering and operating human–machine teams for trusted collaboration. For each area, we describe exemplary research opportunities.

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Section: Optimization and Simulation Of Collaborative Human-machine T...mentioning

confidence: 99%

Section: Integrated Team Formation and Task Sequencing/planningmentioning

confidence: 99%