Decision support for effective production control: Insights from industry

Arica, Emrah; Nehzati, Taravatsadat; Strandhagen, Jan Ola; Hvolby, Hans‐Henrik; Alfnes, Erlend

doi:10.1109/coginfocom.2012.6421980

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…A variety of research has been conducted to investigate interface and display design as a means of supporting humans acting in the role of supervisory controller (e.g., Arica et al, 2012; Baek et al, 1999; Benson et al, 1989; Higgins, 1994; Jackson & Browne, 1989; Jones & Maxwell, 1986; Ketteringham & O'Brien, 1974; Nakamura & Salvendy, 1988; Ojstersek et al, 2019; Sharit, 1985; Stern & Becker, 2019; Yahouni et al, 2018). In general, these studies show that graphical interfaces tend to produce more effective supervisory control, although there are exceptions (e.g., Sharit, 1985).…”

Section: Introductionmentioning

confidence: 99%

Decision Support for Flexible Manufacturing Systems: The Evaluation of an Ecological Interface and Principles of Ecological Interface Design

Bennett

Cravens

Jackson

et al. 2022

Journal of Cognitive Engineering and Decision Making

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The cognitive systems engineering (CSE)/ecological interface design (EID) approach was applied in developing decision support for the flexible manufacturing system (FMS) work domain. Four interfaces were designed via the factorial application/non-application of direct perception (DP) and direct manipulation (DM). The capability of these interfaces to support performance in a simulated FMS was evaluated using a variety of traditional and novel dependent variables. The ecological interface (with DP, DM and an intact perception-action loop) provided clearly superior decision support (32 favorable significant results) relative to the other three interfaces (a combined total of 28 favorable significant results). The novel dependent variables were very sensitive. The results are interpreted from three different perspectives: traditional EID, the quality of constraint matching between triadic system components and closed-loop, dynamical control systems. The rationale for an expanded theoretical framework which complements, but does not replace, the original principles of CSE/EID is discussed. The potential for both specific interface features and novel dependent variables to generalize to real-world FMS applications is addressed. The expanded theoretical framework is universally relevant for the development of decision making and problem solving support in all computer-mediated work domains.

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