Analysis of Pull Postponement by EOQ-based Models

T.C. Edwin Cheng (), Jian Li (), C.L. Johnny Wan () and Shouyang Wang ()
Additional contact information
T.C. Edwin Cheng: The Hong Kong Polytechnic University
Jian Li: School of Economics & Management Beijing University of Chemical Technology (BUCT)
C.L. Johnny Wan: The Hong Kong Polytechnic University
Shouyang Wang: Chinese Academy of Sciences Academy of Mathematics & Systems Science

Chapter Chapter 2 in Postponement Strategies in Supply Chain Management, 2010, pp 19-41 from Springer

Abstract: A number of quantitative models for analyzing postponementpostponement based upon cost and time evaluation have been discussed in the literature. Most of them assumed that the product demand is uncertain. However, if the demand is deterministic, e.g., because there is a long-term supply contract between the manufacturer and the retailers, the benefits due to economies of scope economies of scope and risk pooling risk-pooling do not exit. Thus, evaluation of postponement structures under scenarios with deterministic demand is also an important issue.

Keywords: Supply Chain; Total Average Cost; Economic Order Quantity; Scope Economy; Perishable Product (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4419-5837-2_2

Ordering information: This item can be ordered from
http://www.springer.com/9781441958372

DOI: 10.1007/978-1-4419-5837-2_2

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().