89
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

A first introduction of customer-driven capacity exchange for job shops

, &
Pages 2743-2758 | Received 01 Jan 2004, Published online: 22 Feb 2007
 

Abstract

With demand variability and unpredictability, decreasing product life cycles, globalisation and increasing competition, rush orders are increasingly being received at job shops. However, these rush orders can be difficult to fulfil owing to a lack of capacity during boom and heavy workload periods. In this situation, a feasible solution is capacity exchange, through which capacity is transacted and exchanged with other customers for whom the manufacturer has already reserved capacity. Accordingly, this study develops a customer-driven capacity exchange mechanism for solving the foregoing problem of temporary capacity shortage caused by the receipt of rush orders in a job shop. Notably, this innovative concept and mechanism can be expected to concurrently benefit capacity holders, capacity demanders and manufacturers. Additionally, this study presents a comprehensive design scheme, working scenario, and possible implementation for a capacity exchange mechanism.

Acknowledgments

The research is jointly supported by the National Science Council, Taiwan, Republic of China under contract no. NSC-90-2622-E-009-001, and the United Microelectronics Corp.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 973.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.