Heuristics with guaranteed performance bounds for a manufacturing system with product recovery
We consider a manufacturing system with product recovery. The system manufactures a new product as well as remanufactures the product from old, returned items. The items remanufactured with the returned products are as good as new and satisfy the same demand as the new item. The demand rate for the...
Saved in:
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/103121 http://hdl.handle.net/10220/19242 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-103121 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1031212023-05-19T06:44:41Z Heuristics with guaranteed performance bounds for a manufacturing system with product recovery Feng, Yan Viswanathan, S. Nanyang Business School DRNTU::Business::Industries and labor We consider a manufacturing system with product recovery. The system manufactures a new product as well as remanufactures the product from old, returned items. The items remanufactured with the returned products are as good as new and satisfy the same demand as the new item. The demand rate for the new item and the return rate for the old item are deterministic and constant. The relevant costs are the holding costs for the new item and the returned item, and the fixed setup costs for both manufacturing and remanufacturing. The objective is to determine the lot sizes and production schedule for manufacturing and remanufacturing so as to minimize the long-run average cost per unit time. We first develop a lower bound among all classes of policies for the problem. We then show that the optimal integer ratio policy for the problem obtains a solution whose cost is at most 1.5% more than the lower bound. Accepted version 2014-04-11T03:38:23Z 2019-12-06T21:06:04Z 2014-04-11T03:38:23Z 2019-12-06T21:06:04Z 2013 2013 Journal Article Feng, Y., & Viswanathan, S. (2014). Heuristics with guaranteed performance bounds for a manufacturing system with product recovery. European Journal of Operational Research, 232(2), 322-329. 0377-2217 https://hdl.handle.net/10356/103121 http://hdl.handle.net/10220/19242 10.1016/j.ejor.2013.07.006 en European journal of operational research © 2013 Elsevier B.V. This is the author created version of a work that has been peer reviewed and accepted for publication by European Journal of Operational Research, Elsevier B.V. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [DOI:http://dx.doi.org/10.1016/j.ejor.2013.07.006]. 30 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Business::Industries and labor |
spellingShingle |
DRNTU::Business::Industries and labor Feng, Yan Viswanathan, S. Heuristics with guaranteed performance bounds for a manufacturing system with product recovery |
description |
We consider a manufacturing system with product recovery. The system manufactures a new product as well as remanufactures the product from old, returned items. The items remanufactured with the returned products are as good as new and satisfy the same demand as the new item. The demand rate for the new item and the return rate for the old item are deterministic and constant. The relevant costs are the holding costs for the new item and the returned item, and the fixed setup costs for both manufacturing and remanufacturing. The objective is to determine the lot sizes and production schedule for manufacturing and remanufacturing so as to minimize the long-run average cost per unit time. We first develop a lower bound among all classes of policies for the problem. We then show that the optimal integer ratio policy for the problem obtains a solution whose cost is at most 1.5% more than the lower bound. |
author2 |
Nanyang Business School |
author_facet |
Nanyang Business School Feng, Yan Viswanathan, S. |
format |
Article |
author |
Feng, Yan Viswanathan, S. |
author_sort |
Feng, Yan |
title |
Heuristics with guaranteed performance bounds for a manufacturing system with product recovery |
title_short |
Heuristics with guaranteed performance bounds for a manufacturing system with product recovery |
title_full |
Heuristics with guaranteed performance bounds for a manufacturing system with product recovery |
title_fullStr |
Heuristics with guaranteed performance bounds for a manufacturing system with product recovery |
title_full_unstemmed |
Heuristics with guaranteed performance bounds for a manufacturing system with product recovery |
title_sort |
heuristics with guaranteed performance bounds for a manufacturing system with product recovery |
publishDate |
2014 |
url |
https://hdl.handle.net/10356/103121 http://hdl.handle.net/10220/19242 |
_version_ |
1770567367049347072 |