The correspondence between used performance measures and enterprise objecti
ves, such as profit maximization and cost minimization, is fundamental for
manufacturing companies. This paper identifies, and critically examines, a
minimal set of relevant properties that a productivity index needs to satis
fy to rightly assess performance development of a decision-making unit. Com
monly applied and suggested productivity measurement techniques, such as pa
rtial efficiencies, total factor productivity (TFP), index number approache
s, integrated partial efficiencies and operational competitiveness ratings,
are analyzed in order to assess the alignment with superior objectives. Th
ere is a considerable spread in the results of this class of models and the
interpretation may prove difficult or misleading. As these apparently less
complicated productivity measures increasingly are employed as a component
in evaluation of manufacturing efficiency, the question is of high manager
ial relevance. In particular, the paper points out inconsistencies with pro
perties related to commensurability, monotonicity, and implications of maxi
mizing behavior. Based on this viewpoint, issues such as the consistency wi
th profit maximization will be shown extra interest. The paper also provide
s a critique of previous work in non-parametric efficiency analysis where p
roperties have been postulated or based on other arguments. The findings su
ggest that there is no globally superior measurement technique to be found
in this class and that care should be taken when evaluating managerial perf
ormance not to penalize rational behavior. (C) 2001 Elsevier Science B.V. A
ll rights reserved.