Impact of inspection errors on performance measures of a complete repeat inspection plan

http://deepblue.lib.umich.edu/bitstream/2027.42/4686/5/bap4032.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/4686/4/bap4032.0001.001.tx

An optimal repeat inspection plan under varying inspection errors

http://deepblue.lib.umich.edu/bitstream/2027.42/4688/5/bap4039.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/4688/4/bap4039.0001.001.tx

An optimal ordering rule for a stochastic sequencing model

http://deepblue.lib.umich.edu/bitstream/2027.42/4687/5/bap3249.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/4687/4/bap3249.0001.001.tx

Mathematical models for designing optimal medical screening programs

http://deepblue.lib.umich.edu/bitstream/2027.42/4685/5/bbm0217.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/4685/4/bbm0217.0001.001.tx

Planning and control of maintenance systems: modelling and analysis

Analyzing maintenance as an integrated system with objectives, strategies and processes that need to be planned, designed, engineered, and controlled using statistical and optimization techniques, the theme of this book is the strategic holistic system approach for maintenance. This approach enables maintenance decision makers to view maintenance as a provider of a competitive edge not a necessary evil. Encompassing maintenance systems; maintenance strategic and capacity planning, planned and preventive maintenance, work measurements and standards, material (spares) control, maintenance operations and control, planning and scheduling, maintenance quality, training, and others, this book gives readers an understanding of the relevant methodology and how to apply it to real-world problems in industry. Each chapter includes a number exercises and is suitable as a textbook or a reference for a professionals and practitioners whilst being of interest to industrial engineering, mechanical engineering, electrical engineering, and industrial management students. It can also be used as a textbook for short courses on maintenance in industry. This text is the second edition of the book, which has four new chapters added and three chapters are revised substantially to reflect development in maintenance since the publication of the first edition. The new chapters cover reliability centered maintenance, total productive maintenance, e-maintenance and maintenance performance, productivity and continuous improvement

An optimal complete inspection plan for critical multicharacteristic components

http://deepblue.lib.umich.edu/bitstream/2027.42/4690/5/bap3256.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/4690/4/bap3256.0001.001.tx

DETERMINING AGGREGATE CRITERIA WEIGHTS FROM CRITERIA RANKINGS BY A GROUP OF DECISION MAKERS

In this paper, we present an empirical methodology to determine aggregate numerical criteria weights from group ordinal ranks of multiple decision criteria. Assuming that such ordinal ranks are obtained from several decision makers, aggregation procedures are proposed to combine individual rank inputs into group criteria weights. In this process, we use previous empirical results for an individual decision maker, in which a simple function provides the weight for each criterion as a function of its rank and the total number of criteria. Using a set of experiments, weight aggregation procedures are proposed and empirically compared for two cases: (i) when all the decision makers rank the same set of criteria, and (ii) when they rank different subsets of criteria. The proposed methodology can be used to determine relative weights for any set of criteria, given only criteria ranks provided by several decision makers.Multi-criteria, decision making/process, group decisions

A successive shortest path algorithm for the semi-assignment problem

http://deepblue.lib.umich.edu/bitstream/2027.42/4691/5/baq0883.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/4691/4/baq0883.0001.001.tx

A general inspection plan for criticial multichracteristic components

http://deepblue.lib.umich.edu/bitstream/2027.42/4689/5/bap3258.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/4689/4/bap3258.0001.001.tx