ABSTRACT While a fairly large body of literature dealing with just‐in‐time (JIT) manufacturing exists, most of it is descriptive. JIT research consists primarily of case studies, surveys, a few analytic models (primarily dealing with Kanban), and some simulations. This research builds on the existing literature to develop and test an exploratory model of JIT purchasing with an empirical field study of an actual JIT implementation. While the results basically follow hypotheses developed from the literature, some anomalies were found. The research provides both a methodology for further JIT study and an indication of the possible relative importance of JIT purchasing characteristics as they exist in a North American installation. Especially insightful is the fact that the relative importance changes depending on whether customer inventory or supplier inventory is used as the dependent variable. With customer inventory, the variables measuring delivered lot size, the size of release changes, and supplier manufacturing lead time were significant. With supplier inventory, only supplier manufacturing lot size was significant.
Decision Sciences – Wiley
Published: Jan 1, 1990
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera