Equipment failures can have significant implications in terms of cost and customer satisfaction. Reducing the time required to find the cause of a failure can provide large cost savings and help preserve customer goodwill. Single-item discrete sequential search models can be used to sequence the tasks in diagnostic search to minimize the expected time required to find the cause of the failure. We increase the utility of the single-item discrete sequential search model by developing a formulation that includes simple precedence relationships as well as sequence dependent relationships defined by group activities. This formulation can be applied to a number of other problems including determining the sequence for multiple quality control tests on an item, scheduling oil well workovers to maximize the expected increase in oil production, and sequencing tasks in a research project where there is a technological risk associated with each task.
[1]
William L. Black,et al.
Discrete Sequential Search
,
1965,
Inf. Control..
[2]
W. B. Joyce,et al.
Organizations of unsuccessful R&D projects
,
1971
.
[3]
J. J. Brennan,et al.
Scheduling a Backlog of Oilwell Workovers
,
1977
.
[4]
Yufei Yuan,et al.
A Sequential Selection Problem
,
1988
.
[5]
B. Gluss.
An Optimum Policy for Detecting a Fault in a Complex System
,
1959
.
[6]
J. Kadane.
Quiz show problems
,
1969
.
[7]
L. Khachiyan.
Polynomial algorithms in linear programming
,
1980
.
[8]
Al Sweetser.
Improving Generator Availability at a Western United States Electric Power Plant
,
1998,
Interfaces.
[9]
Marjorie B. Platt,et al.
On the Sequential Selection Problem
,
1992
.
[10]
Thomas S. Ferguson,et al.
Who Solved the Secretary Problem
,
1989
.