Name
Abstract | ||
|---|---|---|
Wholesale price contracts are widely studied in a single supplier-single retailer supply chain, but without considering an outside market where the supplier may sell if he gets a high enough price and the retailer may buy if the price is low enough. We fill this gap in the literature by studying push and pull contracts in a local supplier-retailer supply chain with the presence of an outside market. Taking the local supplier's maximum production capacity and the outside market barriers into account, we identify the Pareto set of the push and/or pull contracts and draw managerial implications. The main results include the following. First, the most inefficient point of the pull Pareto set cannot always be removed by considering both the push and pull contracts. Second, the supplier's production capacity plays a significant role in the presence of an outside market; it affects the supplier's negotiating power with the retailer and the coordination of the supply chain can be accomplished only with a large enough capacity. Third, the import and export barriers influence the supply chain significantly: (i) an export barrier in the local market and the supplier's production capacity influence the supplier's export strategy; (ii) a low import (resp., export) barrier in the local market can improve the local supply chain's efficiency by use of a push (resp., pull) contract; and (iii) a high import (resp., export) barrier in the local market encourages the supplier (resp., retailer) to bear more inventory risk. [Submitted: February 11, 2015. Revised: September 9, 2015. Accepted: November 5, 2015.] |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1111/deci.12209 | DECISION SCIENCES |
Keywords | Field | DocType |
production capacity | Economics,Microeconomics,Supply chain,Pareto principle,Negotiation | Journal |
Volume | Issue | ISSN |
47 | 6 | 0011-7315 |
Citations | PageRank | References |
3 | 0.42 | 25 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qinglong Gou | 1 | 27 | 5.04 |
| Suresh Sethi | 2 | 1215 | 255.98 |
| Jinfeng Yue | 3 | 143 | 11.37 |
| juan zhang | 4 | 9 | 1.73 |