Machine scheduling with job delivery coordination [An article from: European Journal of Operational Research]
Book Details
Author(s)Y.C. Chang, C.Y. Lee
PublisherElsevier
ISBN / ASINB000RR0VRI
ISBN-13978B000RR0VR2
MarketplaceFrance 🇫🇷
Description
This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
This paper considers together machine scheduling and finished product delivery. In particular, it addresses the situation in which jobs require different amounts of storage space during delivery. Three scenarios of the problem are discussed. For the problem in which jobs are processed on a single machine and delivered by a single vehicle to one customer area, we provide a proof of NP-hardness and a heuristic with worst-case analysis. The worst-case performance ratio for our heuristic is proven to be 5/3, and the bound is tight. For the problem in which jobs are processed by either one of two parallel machines and delivered by a single vehicle to one customer area, our heuristic could cause at most 100% error under the worst-case with the bound being tight. For the problem that considers jobs to be processed by a single machine and delivered by a single vehicle to two customer areas, we provide another heuristic that is 100% error bound.
Description:
This paper considers together machine scheduling and finished product delivery. In particular, it addresses the situation in which jobs require different amounts of storage space during delivery. Three scenarios of the problem are discussed. For the problem in which jobs are processed on a single machine and delivered by a single vehicle to one customer area, we provide a proof of NP-hardness and a heuristic with worst-case analysis. The worst-case performance ratio for our heuristic is proven to be 5/3, and the bound is tight. For the problem in which jobs are processed by either one of two parallel machines and delivered by a single vehicle to one customer area, our heuristic could cause at most 100% error under the worst-case with the bound being tight. For the problem that considers jobs to be processed by a single machine and delivered by a single vehicle to two customer areas, we provide another heuristic that is 100% error bound.
