Industrial Engineering and Management Systems

Korean Institute of Industrial Engineers (대한산업공학회)
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Optimal Operation for Green Supply Chain Considering Demand Information, Collection Incentive and Quality of Recycling Parts

  • Received : 2014.03.02
  • Accepted : 2014.05.06
  • Published : 2014.06.30
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Abstract

This study proposes an optimal operational policy for a green supply chain (GSC) where a retailer pays an incentive for collection of used products from customers and determines the optimal order quantity of a single product under uncertainty in product demand. A manufacturer produces the optimal order quantity of product using recyclable parts with acceptable quality levels and covers a part of the retailer's incentive from the recycled parts. Here, two scenarios for the product demand are assumed as: the distribution of product demand is known, and only both mean and variance are known. This paper develops mathematical models to find how order quantity, collection incentive of used products and lower limit of quality level for recycling affect the expected profits of each member and the whole supply chain under both a decentralized GSC (DGSC) and an integrated GSC (IGSC). The analysis numerically compares the results under DGSC with those under IGSC for each scenario of product demand. Also, the effect of the quality of the recyclable parts on the optimal decisions is shown. Moreover, supply chain coordination to shift the optimal decisions of IGSC is discussed based on: I) profit ratio, II) Nash bargaining solution, and III) Combination of (I) and (II).

Keywords

Acknowledgement

Supported by : Japan Society for the Promotion of Science

References

  1. Alfares, H. K. and Elmorra, H. H. (2005), The distribution-free newsboy problem: extensions to the shortage penalty case, International Journal of Production Economics, 93-94, 465-477. https://doi.org/10.1016/j.ijpe.2004.06.043
  2. Aras, N., Boyaci, T., and Verter, V. (2004), The effect of categorizing returned products in remanufacturing, IIE Transactions, 36(4), 319-331. https://doi.org/10.1080/07408170490279561
  3. 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. https://doi.org/10.1016/j.ejor.2012.06.042
  4. 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.
  5. 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. https://doi.org/10.1016/j.cie.2007.11.001
  6. Berr, F. (2011), Stackelberg equilibria in managerial delegation games, European Journal of Operational Research, 212(2), 251-262. https://doi.org/10.1016/j.ejor.2011.02.021
  7. Cachon, G. P. and Netessine, S. (2004), Game theory in supply chain analysis. In: Simchi-Levi, D., Wu, S. D., and Shen, Z. J. (eds.), Handbook of Quantitative Supply Chain Analysis: Modeling in the e-Business Era, Kluwer, Boston, MA, 13-65.
  8. 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. https://doi.org/10.1016/j.ijpe.2008.08.053
  9. Daniel, V., Guide Jr, R., and Jayaraman, V. (2000), Product acquisition management: current industry practice and a proposed framework, International Journal of Production Research, 38(16), 3779-3800. https://doi.org/10.1080/00207540050176003
  10. 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. https://doi.org/10.1016/j.ejor.2010.08.025
  11. Esmaeili, M. and Zeephongsekul, P. (2010), Seller-buyer models of supply chain management with an asymmetric information structure, International Journal of Production Economics, 123(1), 146-154. https://doi.org/10.1016/j.ijpe.2009.07.016
  12. 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. https://doi.org/10.1111/j.1937-5956.2009.01033.x
  13. 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. https://doi.org/10.1016/S0377-2217(97)00230-0
  14. Gallego, G. and Moon, I. (1993), The distribution free newsboy problem: review and extensions, Journal of the Operational Research Society, 44(8), 825-834. https://doi.org/10.1057/jors.1993.141
  15. Guide, V. D. R. and Wassenhove, L. N. (2001), Managing product returns for remanufacturing, Production and Operations Management, 10(2), 142-155.
  16. Guide, V. D. R., Teunter, R. H., and Van Wassenhove, L. N. (2003), Matching demand and supply to maximize profits from remanufacturing, Manufacturing and Service Operations Management, 5(4), 303-316. https://doi.org/10.1287/msom.5.4.303.24883
  17. 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. https://doi.org/10.1016/j.ejor.2010.09.001
  18. 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. https://doi.org/10.1108/09600030510607328
  19. Kaya, O. (2010), Incentive and production decisions for remanufacturing operations, European Journal of Operational Research, 201(2), 442-453. https://doi.org/10.1016/j.ejor.2009.03.007
  20. 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. https://doi.org/10.1016/j.cie.2009.11.004
  21. 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. https://doi.org/10.1016/j.aei.2010.04.001
  22. 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. https://doi.org/10.1016/j.ijpe.2009.01.002
  23. 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. https://doi.org/10.1016/j.ejor.2011.11.027
  24. Moon, I. and Choi, S. (1995), The distribution free newsboy problem with balking, Journal of the Operational Research Society, 46(4), 537-542. https://doi.org/10.1057/jors.1995.73
  25. Moon, I. and Gallego, G. (1994), Distribution free procedures for some inventory models, Journal of the Operational Research Society, 45(6), 651-658. https://doi.org/10.1057/jors.1994.103
  26. 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. https://doi.org/10.1016/j.ijpe.2008.07.032
  27. 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. https://doi.org/10.1016/j.ijpe.2009.11.015
  28. Nagarajan, M. and Sosic, G. (2008), Game-theoretic analysis of cooperation among supply chain agents:review and extensions, European Journal of Operational Research, 187(3), 719-745. https://doi.org/10.1016/j.ejor.2006.05.045
  29. 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. https://doi.org/10.1016/j.ijpe.2010.02.008
  30. 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. https://doi.org/10.1016/j.ijpe.2012.03.019
  31. 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. https://doi.org/10.1016/j.cor.2010.08.008
  32. 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. https://doi.org/10.1007/s11518-010-5147-5
  33. 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. https://doi.org/10.1016/j.ijpe.2007.10.026
  34. 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. https://doi.org/10.1016/j.ejor.2010.06.015
  35. Thierry, M. C., Salomon, M., van Nunen, J. A. E. E., and van Wassenhove, L. N. (1995), Strategic issues in product recovery management, California Management Review, 37(2), 114-135. https://doi.org/10.2307/41165792
  36. Tsay, A. A., Nahmias, S., and Agrawal, N. (1999), Modelling supply chain contracts: a review. In: Tayur, S., Ganeshan, R., and Magazine, M. (eds.), Quantitative Models for Supply Chain Management, Kluwer Academic Publishers, Boston, MA, 299-336.
  37. 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. https://doi.org/10.1080/00207540903150585
  38. Watanabe, T., Kusuawa, E., and Arizono, I. (2013), Optimal operation for green supply chain in consideration of collection incentive and quality for recycling of used products, Industrial Engineering and Management Systems, 12(4), 317-329. https://doi.org/10.7232/iems.2013.12.4.317
  39. 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. https://doi.org/10.1016/j.ijpe.2009.11.008
  40. 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. https://doi.org/10.1142/S0217595912400039
  41. Wu, C. H. (2012), Product-design and pricing strategies with remanufacturing, European Journal of Operational Research, 222(2), 204-215. https://doi.org/10.1016/j.ejor.2012.04.031
  42. 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. https://doi.org/10.1016/j.ejor.2012.03.008
  43. 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. https://doi.org/10.1142/S0217595912500261
  44. 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.
  45. 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. https://doi.org/10.1016/j.ejor.2006.10.025
  46. Zikopoulos, C. and Tagaras, G. (2008), On the attractiveness of sorting before disassembly in remanufacturing, IIE Transactions, 40(3), 313-323. https://doi.org/10.1080/07408170701488078

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