JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Optimal Operation for Green Supply Chain in Consideration of Collection Incentive and Quality for Recycling of Used Products
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Optimal Operation for Green Supply Chain in Consideration of Collection Incentive and Quality for Recycling of Used Products
Watanabe, Takeshi; Kusuawa, Etsuko; Arizono, Ikuo;
  PDF(new window)
 Abstract
In recent years, for the purpose of solving the problem regarding environment protection and resource saving, certain measures and policies have been promoted to establish a green supply chains (GSC) with material flows from collection of used products to reuse of recycled parts in production of products. In this study, we propose an optimal operation of the GSC while considering the collection incentive of the used products and quality for recycling of used products. Two types of decision-making approaches are used for product quantity, collection incentive of used products and lower limit of quality level of reusable parts in the used products for recycling in the GSC. One is the decision-making under an independent policy in decentralized supply chains where a retailer and a manufacturer make decisions so as to maximize profits individually. The other is the decision-making under a cooperative policy in centralized supply chains where a retailer and a manufacturer make decisions cooperatively so as to maximize the whole system's profit. Additionally, we also discuss supply chain coordination as a manufacturer-retailer partnership based on profit sharing. Furthermore, we show the effect of the quality of the reusable parts on the optimal decisions. The collection incentive of the used products was found to bring more profitability to the GSC activity.
 Keywords
Green Supply Chain;Quality;Collection Incentive;Independent Policy;Cooperative Policy;
 Language
English
 Cited by
1.
Optimal Operation for Green Supply Chain Considering Demand Information, Collection Incentive and Quality of Recycling Parts,;;

Industrial Engineering and Management Systems, 2014. vol.13. 2, pp.129-147 crossref(new window)
2.
Analyzing the Evolutionary Stability for Behavior Strategies in Reverse Supply Chain,;;

Industrial Engineering and Management Systems, 2015. vol.14. 1, pp.44-57 crossref(new window)
3.
Optimal Operation for Green Supply Chain with Quality of Recyclable Parts and Contract for Recycling Activity,;;

Industrial Engineering and Management Systems, 2015. vol.14. 3, pp.248-274 crossref(new window)
1.
Optimal Operation for Green Supply Chain Considering Demand Information, Collection Incentive and Quality of Recycling Parts, Industrial Engineering and Management Systems, 2014, 13, 2, 129  crossref(new windwow)
2.
Analyzing the Evolutionary Stability for Behavior Strategies in Reverse Supply Chain, Industrial Engineering and Management Systems, 2015, 14, 1, 44  crossref(new windwow)
3.
Optimal Operation for Green Supply Chain with Quality of Recyclable Parts and Contract for Recycling Activity, Industrial Engineering and Management Systems, 2015, 14, 3, 248  crossref(new windwow)
 References
1.
Aras, N., Boyaci, T., and Verter, V. (2004), The effect of categorizing returned products in remanufacturing, IIE Transactions, 36(4), 319-331. crossref(new window)

2.
Aust, G. and Buscher, U. (2012), Vertical cooperative advertising and pricing decisions in a manufacturer-retailer supply chain: a game-theoretic approach, European Journal of Operational Research, 223(2), 473-482. crossref(new window)

3.
Bakal, I. S. and Akcali, E. (2006), Effects of random yield in remanufacturing with price-sensitive supply and demand, Production and Operations Management, 15(3), 407-420.

4.
Behret, H. and Korugan, A. (2009), Performance analysis of a hybrid system under quality impact of returns, Computers and Industrial Engineering, 56(2), 507-520. crossref(new window)

5.
Berr, F. (2011), Stackelberg equilibria in managerial delegation games, European Journal of Operational Research, 212(2), 251-262. crossref(new window)

6.
Cachon, G. P. and Netessine, S. (2004), Sequential moves: Stackelberg equilibrium concept. In: Simchi-Levi, D., Wu, S. D., and Shen, Z. J. M. (eds.), Handbook of Quantitative Supply Chain Analysis: Modeling in the e-Business Era, Kluwer, Boston, MA, 40-41.

7.
Cai, G. G., Zhang, Z. G., and Zhang, M. (2009), Game theoretical perspectives on dual-channel supply chain competition with price discounts and pricing schemes, International Journal of Production Economics, 117 (1), 80-96. crossref(new window)

8.
Du, J., Liang, L., Chen, Y., Cook, W. D., and Zhu, J. (2011), A bargaining game model for measuring performance of two-stage network structures, European Journal of Operational Research, 210(2), 390-397. crossref(new window)

9.
Esmaeili, M. amd Zeephongsekul, P. (2010), Sellerbuyer models of supply chain management with an asymmetric information structure, International Journal of Production Economics, 123(1), 146-154. crossref(new window)

10.
Ferguson, M., Guide, V. D., Koca, E., and Souza, G. C. (2009), The value of quality grading in remanufacturing, Production and Operations Management, 18(3), 300-314. crossref(new window)

11.
Fleischmann, M., Bloemhof-Ruwaard, J. M., Dekker, R., Van Der Laan, E., Van Nunen, J. A., and Van Wassenhove, L. N. (1997), Quantitative models for reverse logistics: a review, European Journal of Operational Research, 103(1), 1-17. crossref(new window)

12.
Guide, V. D. R. and Van Wassenhove, L. N. (2001), Managing product returns for remanufacturing, Production and Operations Management, 10(2), 142-155.

13.
Hu, Y., Guan, Y., and Liu, T. (2011), Lead-time hedging and coordination between manufacturing and sales departments using Nash and Stackelberg games, European Journal of Operational Research, 210(2), 231-240. crossref(new window)

14.
Inderfurth, K. (2005), Impact of uncertainties on recovery behavior in a remanufacturing environment: a numerical analysis, International Journal of Physical Distribution and Logistics Management, 35(5), 318-336. crossref(new window)

15.
Kaya, O. (2010), Incentive and production decisions for remanufacturing operations, European Journal of Operational Research, 201(2), 442-453. crossref(new window)

16.
Konstantaras, I., Skouri, K., and Jaber, M. Y. (2010), Lot sizing for a recoverable product with inspection and sorting, Computers and Industrial Engineering, 58(3), 452-462. crossref(new window)

17.
Lee, C., Realff, M., and Ammons, J. (2011), Integration of channel decisions in a decentralized reverse production system with retailer collection under deterministic non-stationary demands, Advanced Engineering Informatics, 25(1), 88-102. crossref(new window)

18.
Leng, M. and Parlar, M. (2009), Lead-time reduction in a two-level supply chain: non-cooperative equilibria vs. coordination with a profit-sharing contract, International Journal of Production Economics, 118(2), 521-544. crossref(new window)

19.
Liu, Z. L., Anderson, T. D., and Cruz, J. M. (2012), Consumer environmental awareness and competition in two-stage supply chains, European Journal of Operational Research, 218(3), 602-613. crossref(new window)

20.
Mukhopadhyay, S. K. and Ma, H. (2009), Joint procurement and production decisions in remanufacturing under quality and demand uncertainty, International Journal of Production Economics, 120(1), 5-17. crossref(new window)

21.
Mukhopadhyay, S. K., Yue, X., and Zhu, X. (2011), A Stackelberg model of pricing of complementary goods under information asymmetry, International Journal of Production Economics, 134(2), 424-433. crossref(new window)

22.
Nenes, G., Panagiotidou, S., and Dekker, R. (2010), Inventory control policies for inspection and remanufacturing of returns: a case study, International Journal of Production Economics, 125(2), 300-312. crossref(new window)

23.
Pokharel, S. and Liang, Y. (2012), A model to evaluate acquisition price and quantity of used products for remanufacturing, International Journal of Production Economics, 138(1), 170-176. crossref(new window)

24.
Shi, J., Zhang, G., and Sha, J. (2011), Optimal production planning for a multi-product closed loop system with uncertain demand and return, Computers and Operations Research, 38(3), 641-650. crossref(new window)

25.
Shi, J., Zhang, G., Sha, J., and Amin, S. H. (2010), Coordinating production and recycling decisions with stochastic demand and return, Journal of Systems Science and Systems Engineering, 19(4), 385-407. crossref(new window)

26.
Tagaras, G. and Zikopoulos, C. (2008), Optimal location and value of timely sorting of used items in a remanufacturing supply chain with multiple collection sites, International Journal of Production Economics, 115(2), 424-432. crossref(new window)

27.
Teunter, R. H. and Flapper, S. D. P. (2011), Optimal core acquisition and remanufacturing policies under uncertain core quality fractions, European Journal of Operational Research, 210(2), 241-248. crossref(new window)

28.
Thierry, M. C., Salomon, M., van Nunen, J. A., and van Wassenhove, L. N. (1995), Strategic issues in product recovery management, California Management Review, 37(2), 114- 135. crossref(new window)

29.
Tsay, A. A., Nahmias, S., and Agrawal, N. (1999), Modeling supply chain contracts: a review, In: Tayur, S., Ganeshan, R., and Magazine, M. (eds.), Quantitative Models for Supply Chain Management, Springer, New York, NY, 299-336.

30.
Van Wassenhove, L. N., and Zikopoulos, C. (2010), On the effect of quality overestimation in remanufacturing, International Journal of Production Research, 48(18), 5263-5280. crossref(new window)

31.
Wei, C., Li, Y., and Cai, X. (2011), Robust optimal policies of production and inventory with uncertain returns and demand, International Journal of Production Economics, 134(2), 357-367. crossref(new window)

32.
Wei, J., Zhao, J., and Li, Y. (2012), Pricing decisions for a closed-loop supply chain in a fuzzy environment, Asia-Pacific Journal of Operational Research, 29 (1), 1240003. crossref(new window)

33.
Wu, C. H. (2012), Product-design and pricing strategies with remanufacturing, European Journal of Operational Research, 222(2), 204-215. crossref(new window)

34.
Xu, J., Jiang, W., Feng, G., and Tian, J. (2012), Comparing improvement strategies for inventory inaccuracy in a two-echelon supply chain, European Journal of Operational Research, 221(1), 213-221. crossref(new window)

35.
Yan, N. N. and Sun, B. W. (2012), Optimal Stackelberg strategies for closed-loop supply chain with thirdparty reverse logistics, Asia-Pacific Journal of Operational Research, 29(5), 1250026. crossref(new window)

36.
Yano, C. A. and Gilbert, S. M. (2004), Coordinated pricing and production/procurement decisions: a review, In Chakravarty, A. K. and Eliashberg, J. (eds.), Managing Business Interfaces, Springer, New York, Ny, 65-103.

37.
Zikopoulos, C. and Tagaras, G. (2007), Impact of uncertainty in the quality of returns on the profitability of a single-period refurbishing operation, European Journal of Operational Research, 182(1), 205-225. crossref(new window)

38.
Zikopoulos, C. and Tagaras, G. (2008), On the attractiveness of sorting before disassembly in remanufacturing, IIE Transactions, 40(3), 313-323. crossref(new window)