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July  2016, 12(3): 1075-1089. doi: 10.3934/jimo.2016.12.1075

Production planning in a three-stock reverse-logistics system with deteriorating items under a periodic review policy

Abdelghani Bouras 1, , Ramdane Hedjar 2, and  Lotfi Tadj 3,

1. 

Industrial Engineering Department, College of Engineering, King Saud University, P.O Box 800, Riyadh 11421
2. 

King Saud University, Computer Engineering Department, College of Computer and Information Sciences, Riyadh 11421, Saudi Arabia
3. 

Fairleigh Dickinson University, Silberman College of Business, Department of Information Systems and Decision Sciences, 842 Cambie Street, Vancouver, BC, V6B 2P6

Received  December 2014 Revised  May 2015 Published  September 2015

In this paper, we study a reverse supply chain with three stocks for a firm implementing the periodic-review as policy. The first stock consists of newly manufactured items, while the second one is devoted to remanufactured items. The third stock contains all the items returned from the market. We made the following assumptions: items are not as-good-as-new, deterioration and dynamic demands affect new and remanufactured items, and dynamic customer return rate. Using optimal control theory, explicit expressions of the optimal rates in all three stocks have been provided: those for manufacturing, remanufacturing, disposal, and inventory levels. In the case where items deterioration rates are assumed to be unknown, self-tuning optimal control has also been implemented using the recursive least-squares method. Numerical examples and sensitivity analyses illustrate the results.
Keywords: deterioration, Optimal control, remanufacturing and disposal, three-level inventory, as-good-as-old., periodic-review, as-good-as-new.
Mathematics Subject Classification: 90B30, 49J1.
Citation: Abdelghani Bouras, Ramdane Hedjar, Lotfi Tadj. Production planning in a three-stock reverse-logistics system with deteriorating items under a periodic review policy. Journal of Industrial & Management Optimization, 2016, 12 (3) : 1075-1089. doi: 10.3934/jimo.2016.12.1075
References:
[1]

S. S. Ahiska and E. Kurtul, Modeling and analysis of a product substitution strategy for a stochastic manufacturing/remanufacturing system, Computers & Industrial Engineering, 72 (2014), 1-11. doi: 10.1016/j.cie.2014.02.015.  Google Scholar

[2]

N. Aras, R. Gullu and S. Yurulmez, Optimal inventory and pricing policies for remanufacturable leased products, International Journal of Production Economics, 133 (2011), 262-271. doi: 10.1016/j.ijpe.2010.01.024.  Google Scholar

[3]

R. U. Ayres, Metals recycling: economic and environmental implications, Resources, Conservation and Recycling, 21 (1997), 145-173. doi: 10.1016/S0921-3449(97)00033-5.  Google Scholar

[4]

M. Bakker, J. Riezebos and R. H. Teunter, Review of inventory systems with deterioration since 2001, European Journal of Operational Research, 221 (2012), 275-284. doi: 10.1016/j.ejor.2012.03.004.  Google Scholar

[5]

A. Bouras and L. Tadj, Production planning in a three-stock reverse-logistics system with deteriorating items under a continuous review policy, Journal of Industrial and Management Optimization, 11 (2015), 1041-1058. doi: 10.3934/jimo.2015.11.1041.  Google Scholar

[6]

A. E. Bryson and Y.-C. Ho, Applied Optimal Control, Halsted Press, Washington D.C., 1975. Google Scholar

[7]

X. Cai, M. Lai, X. Li, Y. Li and X. Wu, Optimal acquisition and production policy in a hybrid manufacturing/ remanufacturing system with core acquisition at different quality levels, European Journal of Operational Research, 233 (2014), 374-382. doi: 10.1016/j.ejor.2013.07.017.  Google Scholar

[8]

H. K. Chan, S. Yin and F. T. Chan, Implementing just-in-time philosophy to reverse logistics systems: A review, International Journal of Production Research, 48 (2010), 6293-6313. doi: 10.1080/00207540903225213.  Google Scholar

[9]

P. Chanintrakul, A. E. Coronado Mondragon, C. Lalwani and C. Y. Wong, Reverse logistics network design: A state-of-the-art literature review, International Journal of Business Performance and Supply Chain Modelling, 1 (2009), 61-81. Google Scholar

[10]

A. L. Craighill and J. C. Powell, Lifecycle assessment and economic evaluation of recycling: A case study, Resources, Conservation and Recycling, 17 (1997), 75-96. doi: 10.1016/0921-3449(96)01105-6.  Google Scholar

[11]

O. S. S. Filho and I. R. Salviano, Choosing an optimal return rate and a reverse logistics policy from the solution of a constrained LQG problem, 19th World Congress, The International Federation of Automatic Control, Cape Town, South Africa, 2014. Google Scholar

[12]

M. Fleischmann, J. M. Bloemhof-Ruwaard, R. Dekker, E. van der Laan, J. A. E. E. van Nunen and L. N. Van Wassenhove, Quantitative models for reverse logistics: A review, European Journal of Operational Research, 103 (1997), 1-17. doi: 10.1016/S0377-2217(97)00230-0.  Google Scholar

[13]

A. Foul, S. Djemili and L. Tadj, Optimal and self-tuning optimal control of a periodic-review hybrid production inventory system, Nonlinear Analysis: Hybrid Systems, 1 (2007), 68-80. doi: 10.1016/j.nahs.2006.05.001.  Google Scholar

[14]

M. S. Garcia-Alvarado, M. Paquet and A. Chaabane, An inventory model with recovery and environment considerations, Interuniversity Research Centre on Entreprise Networks, Logistics and Transportation, CIRRELT, 3 (2014). Google Scholar

[15]

P. Goodall, E. Rosamond and J. Harding, A review of the state of the art in tools and techniques used to evaluate remanufacturing feasibility, Journal of Cleaner Production, 81 (2014), 1-15. doi: 10.1016/j.jclepro.2014.06.014.  Google Scholar

[16]

K. Govindan, H. Soleimani and D. Kannan, Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future, European Journal of Operational Research, 240 (2015), 603-626. doi: 10.1016/j.ejor.2014.07.012.  Google Scholar

[17]

A. Gungor and S. M. Gupta, Issues in environmentally conscious manufacturing and product recovery: A survey, Computers and Industrial Engineering, 36 (1999), 811-853. doi: 10.1016/S0360-8352(99)00167-9.  Google Scholar

[18]

S. Guo, G. Aydin and G. C. Souza, Dismantle or remanufacture?, European Journal of Operational Research, 233 (2014), 580-583. doi: 10.1016/j.ejor.2013.09.042.  Google Scholar

[19]

R. Haijema, Optimal ordering, issuance and disposal policies for inventory management of perishable products, International Journal of Production Economics, 157 (2014), 158-169. doi: 10.1016/j.ijpe.2014.06.014.  Google Scholar

[20]

R. Hedjar, M. Bounkhel and L. Tadj, Receding horizon control of a hybrid production system with deteriorating items, Nonlinear Analysis, 63 (2005), 405-422. doi: 10.1016/j.na.2005.05.027.  Google Scholar

[21]

M. A. Ilgin and S. M. Gupta, Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art, Journal of Environmental Management, 91 (2010), 563-591. doi: 10.1016/j.jenvman.2009.09.037.  Google Scholar

[22]

X. Li, Operations management of logistics and supply chain: Issues and directions, Discrete Dynamics in Nature and Society, 2014 (2014), Article ID 701938, 7 pages. doi: 10.1155/2014/701938.  Google Scholar

[23]

A. D. Lokhande, R. L. Shrivastava and R. R. Shrivastava, A review on critical success factors of remanufacturing, International Journal International Journal of Entrepreneurship & Business Environment Perspectives, 3 (2014), 982-987. Google Scholar

[24]

M. Mahmoudzadeh, S. J. Sadjadi and S. Mansour, Robust optimal dynamic production/pricing policies in a closed-loop system, Applied Mathematical Modelling, 37 (2013), 8141-8161. doi: 10.1016/j.apm.2013.03.008.  Google Scholar

[25]

J. Pahl and S. Voß, Integrating deterioration and lifetime constraints in production and supply chain planning: A survey, European Journal of Operational Research, 238 (2014), 654-674. doi: 10.1016/j.ejor.2014.01.060.  Google Scholar

[26]

J. Pahl, S. Voß and D. L. Woodruff, Production planning with deterioration constraints: A survey, 19th International Conference on Production Research, Valparaiso, Chile, 2007. Google Scholar

[27]

S. Pokharel and A. Mutha, Perspectives in reverse logistics: A review, Resources, Conservation and Recycling, 53 (2009), 175-182. doi: 10.1016/j.resconrec.2008.11.006.  Google Scholar

[28]

M. Pourakbary, E. van der Laanz and R. Dekker, End-of-life inventory problem with phase-out returns, Production and Operations Management, 23 (2014), 1561-1576. Google Scholar

[29]

H. Sarimveis, P. Patrinos, C. D. Tarantilis and C. T. Kiranoudis, Dynamic modeling and control of supply chain systems: A review, Computers & Operations Research, 35 (2008), 3530-3561. doi: 10.1016/j.cor.2007.01.017.  Google Scholar

[30]

P. Sasikumar and G. Kannan, Issues in reverse supply chains, part II: Reverse distribution issues-An overview, International Journal of Sustainable Engineering, 1 (2008), 234-249. doi: 10.1080/19397030802509974.  Google Scholar

[31]

P. Sasikumar and G. Kannan, Issues in reverse supply chains, part I: End-of-life product recovery and inventory management-An overview, International Journal of Sustainable Engineering, 1 (2008), 154-172. doi: 10.1080/19397030802433860.  Google Scholar

[32]

P. Sasikumar and G. Kannan, Issues in reverse supply chain, part III: Classification and simple analysis, International Journal of Sustainable Engineering, 2 (2009), 2-27. doi: 10.1080/19397030802673374.  Google Scholar

[33]

C. S. Tang and S. Zhou, Research advances in environmentally and socially sustainable operations, European Journal of Operational Research, 223 (2012), 585-594. doi: 10.1016/j.ejor.2012.07.030.  Google Scholar

[34]

Z. Tao and S. X. Zhou, Approximation balancing policies for inventory systems with remanufacturing, Mathematics of Operations Research, 39 (2014), 1179-1197. doi: 10.1287/moor.2014.0647.  Google Scholar

[35]

D. Wang, O. Tang and L. Zhang, A periodic review lot sizing problem with random yields, disruptions and inventory capacity, International Journal of Production Economics, 155 (2014), 330-339. doi: 10.1016/j.ijpe.2014.02.007.  Google Scholar

[36]

T. Ye and Y. Zhenhua, Reverse logistics network: A literature review, Journal of Chemical and Pharmaceutical Research, 6 (2014), 1916-1921. Google Scholar

[37]

S. Zhang, C. K. M. Lee, H. K. Chan, K. L. Choy and Z. Wu, Swarm intelligence applied in green logistics: A literature review, Engineering Applications of Artificial Intelligence, 37 (2015), 154-169. doi: 10.1016/j.engappai.2014.09.007.  Google Scholar

show all references

References:
[1]

S. S. Ahiska and E. Kurtul, Modeling and analysis of a product substitution strategy for a stochastic manufacturing/remanufacturing system, Computers & Industrial Engineering, 72 (2014), 1-11. doi: 10.1016/j.cie.2014.02.015.  Google Scholar

[2]

N. Aras, R. Gullu and S. Yurulmez, Optimal inventory and pricing policies for remanufacturable leased products, International Journal of Production Economics, 133 (2011), 262-271. doi: 10.1016/j.ijpe.2010.01.024.  Google Scholar

[3]

R. U. Ayres, Metals recycling: economic and environmental implications, Resources, Conservation and Recycling, 21 (1997), 145-173. doi: 10.1016/S0921-3449(97)00033-5.  Google Scholar

[4]

M. Bakker, J. Riezebos and R. H. Teunter, Review of inventory systems with deterioration since 2001, European Journal of Operational Research, 221 (2012), 275-284. doi: 10.1016/j.ejor.2012.03.004.  Google Scholar

[5]

A. Bouras and L. Tadj, Production planning in a three-stock reverse-logistics system with deteriorating items under a continuous review policy, Journal of Industrial and Management Optimization, 11 (2015), 1041-1058. doi: 10.3934/jimo.2015.11.1041.  Google Scholar

[6]

A. E. Bryson and Y.-C. Ho, Applied Optimal Control, Halsted Press, Washington D.C., 1975. Google Scholar

[7]

X. Cai, M. Lai, X. Li, Y. Li and X. Wu, Optimal acquisition and production policy in a hybrid manufacturing/ remanufacturing system with core acquisition at different quality levels, European Journal of Operational Research, 233 (2014), 374-382. doi: 10.1016/j.ejor.2013.07.017.  Google Scholar

[8]

H. K. Chan, S. Yin and F. T. Chan, Implementing just-in-time philosophy to reverse logistics systems: A review, International Journal of Production Research, 48 (2010), 6293-6313. doi: 10.1080/00207540903225213.  Google Scholar

[9]

P. Chanintrakul, A. E. Coronado Mondragon, C. Lalwani and C. Y. Wong, Reverse logistics network design: A state-of-the-art literature review, International Journal of Business Performance and Supply Chain Modelling, 1 (2009), 61-81. Google Scholar

[10]

A. L. Craighill and J. C. Powell, Lifecycle assessment and economic evaluation of recycling: A case study, Resources, Conservation and Recycling, 17 (1997), 75-96. doi: 10.1016/0921-3449(96)01105-6.  Google Scholar

[11]

O. S. S. Filho and I. R. Salviano, Choosing an optimal return rate and a reverse logistics policy from the solution of a constrained LQG problem, 19th World Congress, The International Federation of Automatic Control, Cape Town, South Africa, 2014. Google Scholar

[12]

M. Fleischmann, J. M. Bloemhof-Ruwaard, R. Dekker, E. van der Laan, J. A. E. E. van Nunen and L. N. Van Wassenhove, Quantitative models for reverse logistics: A review, European Journal of Operational Research, 103 (1997), 1-17. doi: 10.1016/S0377-2217(97)00230-0.  Google Scholar

[13]

A. Foul, S. Djemili and L. Tadj, Optimal and self-tuning optimal control of a periodic-review hybrid production inventory system, Nonlinear Analysis: Hybrid Systems, 1 (2007), 68-80. doi: 10.1016/j.nahs.2006.05.001.  Google Scholar

[14]

M. S. Garcia-Alvarado, M. Paquet and A. Chaabane, An inventory model with recovery and environment considerations, Interuniversity Research Centre on Entreprise Networks, Logistics and Transportation, CIRRELT, 3 (2014). Google Scholar

[15]

P. Goodall, E. Rosamond and J. Harding, A review of the state of the art in tools and techniques used to evaluate remanufacturing feasibility, Journal of Cleaner Production, 81 (2014), 1-15. doi: 10.1016/j.jclepro.2014.06.014.  Google Scholar

[16]

K. Govindan, H. Soleimani and D. Kannan, Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future, European Journal of Operational Research, 240 (2015), 603-626. doi: 10.1016/j.ejor.2014.07.012.  Google Scholar

[17]

A. Gungor and S. M. Gupta, Issues in environmentally conscious manufacturing and product recovery: A survey, Computers and Industrial Engineering, 36 (1999), 811-853. doi: 10.1016/S0360-8352(99)00167-9.  Google Scholar

[18]

S. Guo, G. Aydin and G. C. Souza, Dismantle or remanufacture?, European Journal of Operational Research, 233 (2014), 580-583. doi: 10.1016/j.ejor.2013.09.042.  Google Scholar

[19]

R. Haijema, Optimal ordering, issuance and disposal policies for inventory management of perishable products, International Journal of Production Economics, 157 (2014), 158-169. doi: 10.1016/j.ijpe.2014.06.014.  Google Scholar

[20]

R. Hedjar, M. Bounkhel and L. Tadj, Receding horizon control of a hybrid production system with deteriorating items, Nonlinear Analysis, 63 (2005), 405-422. doi: 10.1016/j.na.2005.05.027.  Google Scholar

[21]

M. A. Ilgin and S. M. Gupta, Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art, Journal of Environmental Management, 91 (2010), 563-591. doi: 10.1016/j.jenvman.2009.09.037.  Google Scholar

[22]

X. Li, Operations management of logistics and supply chain: Issues and directions, Discrete Dynamics in Nature and Society, 2014 (2014), Article ID 701938, 7 pages. doi: 10.1155/2014/701938.  Google Scholar

[23]

A. D. Lokhande, R. L. Shrivastava and R. R. Shrivastava, A review on critical success factors of remanufacturing, International Journal International Journal of Entrepreneurship & Business Environment Perspectives, 3 (2014), 982-987. Google Scholar

[24]

M. Mahmoudzadeh, S. J. Sadjadi and S. Mansour, Robust optimal dynamic production/pricing policies in a closed-loop system, Applied Mathematical Modelling, 37 (2013), 8141-8161. doi: 10.1016/j.apm.2013.03.008.  Google Scholar

[25]

J. Pahl and S. Voß, Integrating deterioration and lifetime constraints in production and supply chain planning: A survey, European Journal of Operational Research, 238 (2014), 654-674. doi: 10.1016/j.ejor.2014.01.060.  Google Scholar

[26]

J. Pahl, S. Voß and D. L. Woodruff, Production planning with deterioration constraints: A survey, 19th International Conference on Production Research, Valparaiso, Chile, 2007. Google Scholar

[27]

S. Pokharel and A. Mutha, Perspectives in reverse logistics: A review, Resources, Conservation and Recycling, 53 (2009), 175-182. doi: 10.1016/j.resconrec.2008.11.006.  Google Scholar

[28]

M. Pourakbary, E. van der Laanz and R. Dekker, End-of-life inventory problem with phase-out returns, Production and Operations Management, 23 (2014), 1561-1576. Google Scholar

[29]

H. Sarimveis, P. Patrinos, C. D. Tarantilis and C. T. Kiranoudis, Dynamic modeling and control of supply chain systems: A review, Computers & Operations Research, 35 (2008), 3530-3561. doi: 10.1016/j.cor.2007.01.017.  Google Scholar

[30]

P. Sasikumar and G. Kannan, Issues in reverse supply chains, part II: Reverse distribution issues-An overview, International Journal of Sustainable Engineering, 1 (2008), 234-249. doi: 10.1080/19397030802509974.  Google Scholar

[31]

P. Sasikumar and G. Kannan, Issues in reverse supply chains, part I: End-of-life product recovery and inventory management-An overview, International Journal of Sustainable Engineering, 1 (2008), 154-172. doi: 10.1080/19397030802433860.  Google Scholar

[32]

P. Sasikumar and G. Kannan, Issues in reverse supply chain, part III: Classification and simple analysis, International Journal of Sustainable Engineering, 2 (2009), 2-27. doi: 10.1080/19397030802673374.  Google Scholar

[33]

C. S. Tang and S. Zhou, Research advances in environmentally and socially sustainable operations, European Journal of Operational Research, 223 (2012), 585-594. doi: 10.1016/j.ejor.2012.07.030.  Google Scholar

[34]

Z. Tao and S. X. Zhou, Approximation balancing policies for inventory systems with remanufacturing, Mathematics of Operations Research, 39 (2014), 1179-1197. doi: 10.1287/moor.2014.0647.  Google Scholar

[35]

D. Wang, O. Tang and L. Zhang, A periodic review lot sizing problem with random yields, disruptions and inventory capacity, International Journal of Production Economics, 155 (2014), 330-339. doi: 10.1016/j.ijpe.2014.02.007.  Google Scholar

[36]

T. Ye and Y. Zhenhua, Reverse logistics network: A literature review, Journal of Chemical and Pharmaceutical Research, 6 (2014), 1916-1921. Google Scholar

[37]

S. Zhang, C. K. M. Lee, H. K. Chan, K. L. Choy and Z. Wu, Swarm intelligence applied in green logistics: A literature review, Engineering Applications of Artificial Intelligence, 37 (2015), 154-169. doi: 10.1016/j.engappai.2014.09.007.  Google Scholar

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