Abstract




 
   

IJE TRANSACTIONS C: Aspects Vol. 31, No. 3 (March 2018) 440-449    Article in Press

PDF URL: http://www.ije.ir/Vol31/No3/C/6-2723.pdf  
downloaded Downloaded: 39   viewed Viewed: 553

  AN INTEGRATED CLOSED-LOOP SUPPLY CHAIN CONFIGURATION MODEL AND SUPPLIER SELECTION BASED ON OFFERED DISCOUNT POLICIES
 
R. Sadeghi Rad, N. Nahavandi, Ali Hosseinzadeh and S.H. Zegordi
 
( Received: August 13, 2017 – Accepted in Revised Form: October 12, 2017 )
 
 

Abstract    In this paper, a mathematical programming model is presented for integrated problem of closed loop supply chain network design and supplier selection. The suppliers propose discount policy based on purchase amount and loyalty of buyers which are both taken from the elements of RFM (Recency, Frequency and Monetary) technique. The main objective of this paper which is formulated by a mixed-integer programming model is to minimize the total cost through determining location of facilities, production plan, inventory levels, flows between facilities, transportation type, purchasing amount and selecting best supplier based on a beneficial relationship. Sensitivity analysis is carried out to validate the model and examine the effects of considering discount according to purchase amount and loyalty on the supply chains costs and decisions. Computational results show the effectiveness and usefulness of the model.

 

Keywords    Supplier selection, Closed-loop Supply Chain Network, Loyalty, Discount

 

چکیده    در اين مقاله يك مدل برنامه ريزي رياضي براي مساله يكپارچه طراحي شبكه زنجيره تامين حلقه بسته و انتخاب تامين كننده ارائه مي­گردد. تامين كنندگان، سياست تخفيف را بر اساس ميزان خريد و وفاداري خريداران درنظر مي­گيرند كه اين دو سياست تخفيف بر گرفته از مولفه­هاي تكنيك RFM مي­باشد. بر خلاف ساير مدل­هاي طراحي شبكه زنجيره تامين حلقه بسته كه در انتخاب تامين كننده بيشتر به قيمت واحد مواد و تخفيف مقداري ارائه شده توجه دارند، مدل پيشنهادي سياست تخفيف مبتني بر وفاداري را همراه با قيمت واحد مواد خام و تخفيف مقداري، در انتخاب تامين كننده در نظر مي­گيرد. هدف اين مقاله كه به صورت مدل برنامه ريزي عدد صحيح مي­باشد، حداقل سازي هزينه­هاي كلي زنجيره تامين از طريق تعيين مكان تسهيلات، برنامه توليد، سطوح موجودي، جريان بين تسهيلات، نوع وسيله حمل و نقل، ميزان خريد و انتخاب بهترين تامين كننده بر مبناي ارتباط سودمند مي­باشد. به منظور اعتبارسنجي مدل، تحليل حساسيت صورت مي­گيرد و بر اين اساس تاثيرات در نظر گرفتن تخفيف بر اساس ميزان خريد و وفاداري بر هزينه­ها و تصميمات زنجيره تامين مورد بررسي قرار مي­گيرد. نتايج محاسباتي كارايي و سودمندي مدل پيشنهادي را نشان مي­دهد.

References   

1.      Melo, M.T., Nickel, S. and Saldanha-Da-Gama, F., "Facility location and supply chain management–a review", European Journal of Operational Research,  Vol. 196, No. 2, (2009), 401-412.

2.      Ghomi-Avili, M., Tavakkoli-Moghaddam, R., Jalali, G. and Jabbarzadeh, A., "A network design model for a resilient closed-loop supply chain with lateral transshipment", International Journal of Engineering-Transactions C: Aspects,  Vol. 30, No. 3, (2017), 374-384.

3.      Kaya, O. and Urek, B., "A mixed integer nonlinear programming model and heuristic solutions for location, inventory and pricing decisions in a closed loop supply chain", Computers & Operations Research,  Vol. 65, (2016), 93-103.

4.      Weber, C.A. and Current, J.R., "A multiobjective approach to vendor selection", European Journal of Operational Research,  Vol. 68, No. 2, (1993), 173-184.

5.      Yan, H., Yu, Z. and Cheng, T.E., "A strategic model for supply chain design with logical constraints: Formulation and solution", Computers & Operations Research,  Vol. 30, No. 14, (2003), 2135-2155.

6.      Swift, R.S., "Accelerating customer relationships: Using crm and relationship technologies, Prentice Hall Professional,  (2001).

7.      Schijns, J.M. and Schröder, G.J., "Segment selection by relationship strength", Journal of Direct Marketing,  Vol. 10, No. 3, (1996), 69-79.

8.      Dursun, A. and Caber, M., "Using data mining techniques for profiling profitable hotel customers: An application of rfm analysis", Tourism Management Perspectives,  Vol. 18, (2016), 153-160.

9.      Fleischmann, M., Beullens, P., BLOEMHOF‐RUWAARD, J.M. and Wassenhove, L.N., "The impact of product recovery on logistics network design", Production and Operations Management,  Vol. 10, No. 2, (2001), 156-173.

10.    Salema, M.I.G., Barbosa-Povoa, A.P. and Novais, A.Q., "An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty", European Journal of Operational Research,  Vol. 179, No. 3, (2007), 1063-1077.

11.    Pishvaee, M.S. and Torabi, S.A., "A possibilistic programming approach for closed-loop supply chain network design under uncertainty", Fuzzy Sets and Systems,  Vol. 161, No. 20, (2010), 2668-2683.

12.    Subramanian, P., Ramkumar, N., Narendran, T. and Ganesh, K., "Prism: Priority based simulated annealing for a closed loop supply chain network design problem", Applied Soft Computing,  Vol. 13, No. 2, (2013), 1121-1135.

13.    Hatefi, S. and Jolai, F., "Robust and reliable forward–reverse logistics network design under demand uncertainty and facility disruptions", Applied Mathematical Modelling,  Vol. 38, No. 9-10, (2014), 2630-2647.

14.    Sahraeian, R., Bashiri, M. and Moghadam, A.T., "Capacitated multimodal structure of a green supply chain network considering multiple objectives", International Journal of Engineering-Transactions C: Aspects,  Vol. 26, No. 9, (2013), 963-974.

15.    Fazli-Khalaf, M. and Hamidieh, A., "A robust reliable forward-reverse supply chain network design model under parameter and disruption uncertainties", International Journal of Engineering-Transactions B: Applications,  Vol. 30, No. 8, (2017), 1160-1169.

16.    Chen, Y.-W., Wang, L.-C., Wang, A. and Chen, T.-L., "A particle swarm approach for optimizing a multi-stage closed loop supply chain for the solar cell industry", Robotics and Computer-Integrated Manufacturing,  Vol. 43, (2017), 111-123.

17.    Yazdi, A.A. and Honarvar, M., "A two stage stochastic programming model of the price decision problem in the dual-channel closed-loop supply chain", International Journal of Engineering-Transactions B: Applications,  Vol. 28, No. 5, (2015), 738-745.

18.    Zohal, M. and Soleimani, H., "Developing an ant colony approach for green closed-loop supply chain network design: A case study in gold industry", Journal of Cleaner Production,  Vol. 133, (2016), 314-337.

 

 

 

 

 

 

 

 

 

 

 

19.    Kadambala, D.K., Subramanian, N., Tiwari, M.K., Abdulrahman, M. and Liu, C., "Closed loop supply chain networks: Designs for energy and time value efficiency", International Journal of Production Economics,  Vol. 183, (2017), 382-393.

20.    Pedram, A., Yusoff, N.B., Udoncy, O.E., Mahat, A.B., Pedram, P. and Babalola, A., "Integrated forward and reverse supply chain: A tire case study", Waste Management,  Vol. 60, (2017), 460-470.

21.    Thanh, P.N., Bostel, N. and Péton, O., "A dynamic model for facility location in the design of complex supply chains", International Journal of Production Economics,  Vol. 113, No. 2, (2008), 678-693.

22.    Amin, S.H. and Zhang, G., "An integrated model for closed-loop supply chain configuration and supplier selection: Multi-objective approach", Expert Systems with Applications,  Vol. 39, No. 8, (2012), 6782-6791.

23.    Govindan, K., Jafarian, A. and Nourbakhsh, V., "Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic", Computers & Operations Research,  Vol. 62, (2015), 112-130.

24.    Gholamian, M.R. and Taghanzadeh, A.H., "Integrated network design of wheat supply chain: A real case of iran", Computers and Electronics in Agriculture,  Vol. 140, (2017), 139-147.

25.    Mota, B., Gomes, M.I., Carvalho, A. and Barbosa-Povoa, A.P., "Sustainable supply chains: An integrated modeling approach under uncertainty", Omega,  Vol. 77, (2017), 32-57.

26.    Kamali, A., Ghomi, S.F. and Jolai, F., "A multi-objective quantity discount and joint optimization model for coordination of a single-buyer multi-vendor supply chain", Computers & Mathematics with Applications,  Vol. 62, No. 8, (2011), 3251-3269.

27.    Pariazar, M., Root, S. and Sir, M.Y., "Supply chain design considering correlated failures and inspection in pharmaceutical and food supply chains", Computers & Industrial Engineering,  Vol. 111, (2017), 123-138.

28.    Urata, T., Yamada, T., Itsubo, N. and Inoue, M., "Global supply chain network design and asian analysis with material-based carbon emissions and tax", Computers & Industrial Engineering,  Vol. 113, (2017), 779-792.

29.    Cortinhal, M., Lopes, M. and Melo, M., "Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: A computational study", Computers & Industrial Engineering,  Vol. 90, (2015), 118-131.

30.    Vidal, C.J. and Goetschalckx, M., "A global supply chain model with transfer pricing and transportation cost allocation", European Journal of Operational Research,  Vol. 129, No. 1, (2001), 134-158.


Download PDF 



International Journal of Engineering
E-mail: office@ije.ir
Web Site: http://www.ije.ir