The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 89-414
Full Name: Singa wang Chiu
Position: Professor
Age: ON
Sex: Female
Address: Department of Business Administration, Chaoyang University of Technology, Taichung 413
Country: TAIWAN
Tel: +886 4-2332-3000 (ext. 4379)
Tel prefix:
Fax:
E-mail address: swang@cyut.edu.tw
Other E-mails: swang@mail.cyut.edu.tw,chss@ms4.kntech.com.tw
Title of the Paper: Economic Production Quantity Model with Backordering, Rework and Machine Failure Taking Place in Stock Piling Time
Authors as they appear in the Paper: Feng-tsung Cheng, Huei-hsin Chang, Singa wang Chiu
Email addresses of all the authors: swang@mail.cyut.edu.tw,chss@ms4.kntech.com.tw,swang@cyut.edu.tw
Number of paper pages: 11
Abstract: This paper investigates the optimal inventory replenishment policy for an economic production quantity (EPQ) model with backordering, rework and machine breakdown taking place in stock piling time. A prior paper [Chiu, Y.P., 2003, Determining the optimal lot size for the finite production model with random defective rate, the rework process, and backlogging, Engineering Optimization 35, 427-437] has examined the lot-sizing problem on an imperfect quality EPQ model. Due to another reliability factor - random machine breakdown seems to be inevitable in most real world manufacturing environments, and to deal with it the production planners must practically compute the mean time between failures (MTBF) and establish a robust production plan accordingly in terms of the optimal replenishment lot size that minimizes total production-inventory costs for such an unreliable system. This study extends Chiu¡¦s work and incorporates a machine breakdown taking place in the stock!
piling stage into his model. The effects of random machine failure on optimal run time and on the long-run average costs are examined in this paper. Mathematical modeling and cost analysis are employed. The renewal reward theorem is utilized to cope with variable cycle length. Convexity of the long-run average cost function is proved and an optimal lot-size that minimizes the expected overall costs for such an imperfect system is derived. Numerical example is given to demonstrate its practical usage. Managers in the field can adopt this run time decision to establish their own robust production plan accordingly.
Keywords: Optimization, Run time, Breakdown, Lot size, Production, Backorder, Rework, Inventory
EXTENSION of the file: .doc
Special (Invited) Session: Production Systems with Backordering, Rework and Machine Failure Taking Place in Stock Piling Time
Organizer of the Session: 629-110
How Did you learn about congress: (1) Prof. Gary C. Lin, Dept. of Industrial & Manufacturing Engineering & Technology, Bradley University, IL 61625 USA, Email: clin@bradley.edu; (2) Prof. Chi-Bin Cheng, Department of Information Management, Tamkang University, Taipei 251, Taiwan, Email: cbcheng@mail.tku.edu.tw
IP ADDRESS: 122.118.76.68
