JOURNAL BROWSE
Search
Advanced SearchSearch Tips
A Manufacturing/Remanufacturing System with the Consideration of Required Quality of End-of-used Products
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
A Manufacturing/Remanufacturing System with the Consideration of Required Quality of End-of-used Products
Guo, Jianquan; Ko, Young-Dae; Hwang, Hark;
  PDF(new window)
 Abstract
A manufacturing/remanufacturing system is investigated with the consideration of required minimum quality of end-of-used products. A constant demand is satisfied by remanufacturing end-of-used products and manufacturing raw materials outsourced from outside. It is assumed in this system that the buyback price and remanufacturing cost are related to the different quality level of end-of-used products. For remanufacturing, only the used products that satisfy a required minimum quality level will be recycled. Thus, the returning rate is a function of the required minimum quality level. Functions of returning rate, buyback price and remanufacturing cost, which are closely connected to the quality level of end-of-used products, are investigated here. Treating the required minimum quality level of end-of-used products, the length of a cycle, the number of manufacturing lots and remanufacturing lots in a cycle as decision variables, the mathematical models with the objective of minimizing the average total cost are constructed. Through construction of a solution process based on Tabu Search algorithm and calculating examples, the validity of the models is illustrated.
 Keywords
Buyback Cost;Manufacturing/Remanufacturing System;Quality Level;Remanufacturing Cost;Return Rate;
 Language
English
 Cited by
1.
Inventory Management Practices Approach to Reverse Logistics,;;

Industrial Engineering and Management Systems, 2010. vol.9. 4, pp.303-311 crossref(new window)
2.
A PROMETHEE Method Based Heuristic for Disassembly Line Balancing Problem,;;;;

Industrial Engineering and Management Systems, 2013. vol.12. 3, pp.254-263 crossref(new window)
3.
Planning Demand- and Legislation-Driven Remanufacturing for a Product Family: A Model for Maximizing Economic and Environmental Potential,;

Industrial Engineering and Management Systems, 2015. vol.14. 2, pp.159-174 crossref(new window)
1.
Inventory Management Practices Approach to Reverse Logistics, Industrial Engineering and Management Systems, 2010, 9, 4, 303  crossref(new windwow)
2.
Planning Demand- and Legislation-Driven Remanufacturing for a Product Family: A Model for Maximizing Economic and Environmental Potential, Industrial Engineering and Management Systems, 2015, 14, 2, 159  crossref(new windwow)
 References
1.
Alexander, F. (1996), ISO 14001: what does it mean for IE's? IIE Solutions, 14-18.

2.
Aras, N., Boyaci, T., and Verter, V. (2004), The effect of categorizing end-of-used products in remanufacturing, IIE Trans., 36, 319-331. crossref(new window)

3.
Beamon, B. M. (1999), Designing the green supply chain, Logistics Information Management, 12, 332-342. crossref(new window)

4.
Choi, D-W., Hwang, H., and Koh S-G. (2007), A generalized ordering and recovery policy for reusable items, European Journal of Operational Research, 182, 764-774. crossref(new window)

5.
Dobos, I. and Richter, K. (2004), An extended production/ recycling model with stationary demand and return rates, International Journal of Production Economics, 90, 311-323. crossref(new window)

6.
Dobos, and Richter, K. (2006), A production/recycling model with quality consideration, International Journal of Production Economics, 104, 571-579. crossref(new window)

7.
GLOVER, F. (1990), Tabu Search-part II, ORSA Journal on Computing, 2, 4-32. crossref(new window)

8.
Fleischmann, M., Bloemhof-Ruwaard, J. M., Dekker, R., van der Laan, E., van Nunen, J. A. E. E., and Van Wassenhove, L. N. (1997), Quantitative models for reverse logistics: A review, European Journal of Operational Research, 103, 1-17. crossref(new window)

9.
Fleischmann, M., Krikke, H. R., Dekker, R., and Flapper, S. D. P. (2000), A characterization of logistics networks for product recovery, Omega, 28, 653-666. crossref(new window)

10.
Fleischmann, M. (2001), Quantitative models for reverse logistics, LNEMS, 501.

11.
Guide, V. D. R. and Jayaraman, V. (2000), Product acquisition management: current industry practice and a proposed framework, International Journal of Production Research, 38, 3779-3800. crossref(new window)

12.
Guide, V. D. R. and Van Wassenhove, L. N. (2001), Managing product returns for remanufacturing, Production and Operations Management, 10, 142-155.

13.
Galbreth, M. R. (2006), Managing condition variability in remanufacturing [D], Tennessee: Vanderbilt University.

14.
Huang, H. and Chang (2004), An application of fuzzy sets to EOQ model with imperfect quality items, Computers and Operations Research, 31, 2079-2092. crossref(new window)

15.
Jayaraman, V., Guide, V. D. R., and Srivastava, R. (1999), A closed-loop logistics model for remanufacturing, Journal of the Operational Research Society, 50, 497-508. crossref(new window)

16.
Krikke, H. R., van Harten, A. and Schuur, P. C. (1999), Business case Oce: reverse logistic network redesign for copiers, OR Spektrum, 21, 381-409. crossref(new window)

17.
LI, X. (2007), Monopoly production optimization problem for remanufacturing cost with stochastic distribution and market segmentation, Chinese journal of management science, 15, 72-77.

18.
LI, X. and DA, Q. (2008), Monopoly production optimization problem for remanufacturing cost with stochastic distribution, control and decision, 23, 41-45.

19.
Lindhqvist, T. (2001), Cleaner Production: government policies and strategies, Industry and Environment, 24, 41-45.

20.
Majumder, P. and Groenvelt, H. (2001), Competition in remanufacturing, Production and Operations Management, 10, 125-141.

21.
Richter, K. (1996a), The EOQ repair and waste disposal model with variable setup numbers, European Journal of Operational Research, 96, 313-324.

22.
Richter, K. (1996b), The extended EOQ repair and waste disposal model, International Journal of Production Economics, 45, 443-447. crossref(new window)

23.
Roberts, J. H. and Urban, G. L. (1988), Modeling multiattribute utility, risk, and belief dynamics for new consumer durable brand choice, Management Science, 34, 167-185. crossref(new window)

24.
Salameh, M. K. and Jaber, M. Y. (2000), Economic production quantity model for items with imperfect quality, International Journal of Production Economics, 64, 59-64. crossref(new window)

25.
Savaskan, R. C., Bhattacharya, S., and Van Wassenhove, L. N. (2004), Closed-loop supply chain models with product remanufacturing, Management Science, 50, 239-252. crossref(new window)

26.
Schrady, D. A. (1967), A deterministic inventory model for repairable items, Naval Research Logistic Quarterly, 14, 391-398. crossref(new window)

27.
Sergio Rubio, Antonio Chamorro and Francisco J. Miranda (2008), Characteristics of the research on reverse logistics (1995-2005), International Journal of Production Research, 46, 1099-1120. crossref(new window)

28.
Singer, M., Donoso, P., and Traverso, P. (2003), Quality strategies in supply chain alliances of disposable items, Omega, 31, 499-509. crossref(new window)

29.
Smith, A. S. and Achabal, D. D. (1998), Clearance pricing and inventory policies for retail chains, Management Science, 44, 285-300. crossref(new window)

30.
Spicer, A. J. and Johon, M. R. (2004), Third-party demanufacturing as a solution for extended producer responsibility, Journal of Cleaner Production, 12, 37-45. crossref(new window)

31.
Teunter, R. H. (1998), Economic ordering quantities for repairable/manufacturable item inventory systems, Preprint No. 31, Faculty of Economics and Management, Otto-von-Guericke University of Magdeburg, Germany.

32.
Teunter, R. H. (2001), Economic Ordering Quantities for Recoverable Item Inventory Systems, Naval Research Logistics, 48, 484-495. crossref(new window)

33.
Thierry, M., Salomon, M., Van Nunen, J., and Van Wassenhove, L. (1995), Strategic issues in product recovery management, California Management Review, 37, 114-135. crossref(new window)

34.
Trebilcock, B. (2002), A winning formula for reverse logistics, Modern Materials Handling, 37-39.

35.
Voros, J. (2002), Product Balancing under conditions of quality inflation, cost pressures and growth strategies, European Journal of Operational Research, 141, 153-166. crossref(new window)

36.
Wells, P. E. and Seitz, M. A. (2004), Business models and closed-loop supply chains : an analysis of the automotive industry, Proceedings of the Second World Conference on POM and 15th POM Conference, Cancun, Mexico.

37.
Ying, D. and Ma, Z. (2006), Models for optimal production lot sizing in hybrid manufacturing /remanufacturing system, Journal of southeast Jiaotong University, 41, 116-121.

38.
Yune, S. H. (2008), A closed loop recycling system with minimum allowed quality level on end-of-used products [M], Daejeon: Korean Advantage Institute of Science and Technology.