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Details of Grant 

EPSRC Reference: GR/L31364/01
Title: EFFECTIVE DECISION SUPPORT IN SCHEDULING: A NEW APPROACH COMBINING HUMAN FACTORS AND SCHEDULING THEORY
Principal Investigator: MacCarthy, Professor B
Other Investigators:
Wilson, Professor J Wilson, Professor J
Researcher Co-Investigators:
Project Partners:
BAE Systems Celestica Ltd Fisher Rosemount Ltd
Pre Nexus Migration
Department: Sch of Mech Materials Manuf Eng Mgt
Organisation: University of Nottingham
Scheme: Standard Research (Pre-FEC)
Starts: 02 February 1997 Ends: 01 February 2000 Value (£): 188,055
EPSRC Research Topic Classifications:
Manufact. Enterprise Ops& Mgmt
EPSRC Industrial Sector Classifications:
Manufacturing Electronics
Related Grants:
Panel History:  
Summary on Grant Application Form
Computer-based systems for scheduling have had very limited success across the manufacturing sector. In reality, it is human schedulers who must address the multiplicity of factors influencing real-time schedules and it is often only through their insight, knowledge and skills that many manufacturing organizations can function with any degree of success. This project addresses this critical research gap by innovative fieldwork in a range of manufacturing environments. The primary objective is to describe, analyse and model human action, decision making and information processing in scheduling from the perspectives of process and performance. Major research issues include the influence of internal and external environments, approaches and techniques employed, scheduler skill and expertise, cognitive load and stress, perceived and actual performance, consistency and bias, monitoring and feedback, benchmarking, job design and training. The research will generate new concepts for the optimal design and organization of scheduling systems and the scheduling function where people, information and modelling frameworks are mutually supportive. It will enable a re-appraisal of the vast body of theoretical scheduling research in terms of practical application. The research outcomes will contribute to the design of the generation of rapid flexible response scheduling systems, essential for competitive manufacturing.
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Organisation Website: http://www.nottingham.ac.uk