zbMATH — the first resource for mathematics

Examples
Geometry Search for the term Geometry in any field. Queries are case-independent.
Funct* Wildcard queries are specified by * (e.g. functions, functorial, etc.). Otherwise the search is exact.
"Topological group" Phrases (multi-words) should be set in "straight quotation marks".
au: Bourbaki & ti: Algebra Search for author and title. The and-operator & is default and can be omitted.
Chebyshev | Tschebyscheff The or-operator | allows to search for Chebyshev or Tschebyscheff.
"Quasi* map*" py: 1989 The resulting documents have publication year 1989.
so: Eur* J* Mat* Soc* cc: 14 Search for publications in a particular source with a Mathematics Subject Classification code (cc) in 14.
"Partial diff* eq*" ! elliptic The not-operator ! eliminates all results containing the word elliptic.
dt: b & au: Hilbert The document type is set to books; alternatively: j for journal articles, a for book articles.
py: 2000-2015 cc: (94A | 11T) Number ranges are accepted. Terms can be grouped within (parentheses).
la: chinese Find documents in a given language. ISO 639-1 language codes can also be used.

Operators
a & b logic and
a | b logic or
!ab logic not
abc* right wildcard
"ab c" phrase
(ab c) parentheses
Fields
any anywhere an internal document identifier
au author, editor ai internal author identifier
ti title la language
so source ab review, abstract
py publication year rv reviewer
cc MSC code ut uncontrolled term
dt document type (j: journal article; b: book; a: book article)
Random yield and uncertain demand in decentralised supply chains under the traditional and VMI arrangements. (English) Zbl 1198.90069
Summary: Both random yield and uncertain demand are common occurrences in the semiconductor industry. This paper studies a decentralised supply chain comprised of a single manufacturer and a single distributor for a short life-cycle product with random yield and uncertain demand. We analyse two alternatives for doing business. One alternative is the traditional supply chain arrangement, where the distributor is fully responsible for the inventory decision whereas the manufacturer is fully responsible for the production decision. The other alternative is the vendor-managed-inventory (VMI) arrangement, where the manufacturer (vendor) is fully responsible for the entire production and inventory decisions in the supply chain. We characterise the optimal production and inventory decisions under both arrangements. We also compare the individual firms and supply chain performance under the traditional and VMI arrangements. Our results provide insights into how firms can choose the right supply chain arrangement to improve supply chain efficiency.
MSC:
90B06Transportation, logistics
90B90Case-oriented studies in OR