TY - JOUR
T1 - Specialized inspection problems in serial production systems
AU - Rebello, Ranjit
AU - Agnetis, Alessandro
AU - Mirchandani, Pitu B.
N1 - Funding Information:
yield without inspection is low and the increase in the yield resulting from the installation of the inspection station is high. This observation is supported by the following theorem.
Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 1995/1/19
Y1 - 1995/1/19
N2 - When defects are sometimes introduced in a serial manufacturing system, objectives such as minimization of total 'cost', maximization of yield, and minimization of undetected faulty units are all viable optimization objectives. We take a comprehensive look at the inspection problems in this setting and develop several new models for locating specialized inspection stations, stations which can only detect defects produced by specific operations. We consider the cases (1) when inspection/ rework stations are to be located, (2) when inspection stations are already located but their operating modes (rework or scrap) are to be determined, and (3) when both locations and operating modes are to be determined. We discuss exact and/or heuristic methods of solutions for these models, and present some computational experience.
AB - When defects are sometimes introduced in a serial manufacturing system, objectives such as minimization of total 'cost', maximization of yield, and minimization of undetected faulty units are all viable optimization objectives. We take a comprehensive look at the inspection problems in this setting and develop several new models for locating specialized inspection stations, stations which can only detect defects produced by specific operations. We consider the cases (1) when inspection/ rework stations are to be located, (2) when inspection stations are already located but their operating modes (rework or scrap) are to be determined, and (3) when both locations and operating modes are to be determined. We discuss exact and/or heuristic methods of solutions for these models, and present some computational experience.
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U2 - 10.1016/0377-2217(94)00171-8
DO - 10.1016/0377-2217(94)00171-8
M3 - Article
AN - SCOPUS:0029185257
VL - 80
SP - 277
EP - 296
JO - European Journal of Operational Research
JF - European Journal of Operational Research
SN - 0377-2217
IS - 2
ER -