Application of Activity Based Costing in Reverse Logistics Environment: A Case of End-of-life Vehicle Recovery in Turkey

Nowadays, there has been a growing interest in reverse logistics in both theory and practice due to legislations, economic and ecological benefits, and social responsibilities. If enterprises incorporating reverse logistics activities to its structure want to realize the required level of customer service and comply with related obligations at the lowest total cost, analyzing the actualized reverse logistics activities and correct determination and reduction of costs of these activities are essential for them. Traditional accounting methods are inadequate for accurate assignment of overhead costs. In this paper, an actual application of Activity Based Costing (ABC) to reverse logistics activities is presented in order to help managers to improve their understanding of costs that arises from reverse logistics activities. An illustrative case study in the end-of-life vehicle (ELV) recovery industry in Turkey is presented to demonstrate the steps of how ABC is applied to reverse logistics systems. The results enable to efficient management of reverse logistics activities and their costs in an ELV recovery chain and exhibit which reverse logistics activities performed by a dismantler cause the highest cost and can be improved. In the case study, products (ELVs) are evaluated as inputs and the obtained materials from reverse logistics activities are evaluated as outputs of the system by force of the nature of reverse logistics. Results show that while most cost of the company (52.7%) was related with the output of B Group of components/parts (sent to shredders); the minimum cost (12.3%) was realized for the output of A Group components/parts (sent to recyclers). The remaining 35% of the costs belong to the C Group of outputs (sent to secondary markets).

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Al-Omiri, M.; Drury C. (2007). Organizational and behavioral factors influencing the adoption and success of ABC in the UK. Cost Manag, 21, 38.

Arslan, S.; Varol N.B. (2010). Storage costs in respect to activity-based cost on the logistics chain and a case study. Account Auditing Rev, 69-88.

Askarany, D.; Yazdifar, H.; Askary, S. (2010). Supply chain management, activity-based costing and organisational factors. Int J Prod Econ, 127 (2010): 238-248.

Askarany, D.; Yazdifar, H.; Askary, S. (2012). An investigation into the mixed reported adoption rates for ABC: Evidence from Australia, New Zealand and the UK. Int J Prod Econ, 135 (1): 430-439.

Baykasoğlu, A.; Kaplanoğlu, V. (2008). Application of activity-based costing to a land transportation company: A case study. Int J Prod Econ, 116 (2): 308-324.

Bras, B.; Emblemsvag J. (1995). The use of activity-based costing, uncertainty, and disassembly action charts in demanufacture cost assessments. 1995 ASME Advances in Design Automation Conference, Boston, Massachusetts, September, 17-20.

Brierley, J.A.; Cowton, C.J.; Drury, C. A (2006). Comparison of product costing practices in discrete-part and assembly manufacturing and continuous production process manufacturing. Int J Prod Econ, 100: 314–321.

Chen, F.F. (1996). Activity-Based Approach to Justification of Advanced Factory Management Systems. Ind Man Data Sys, 96 (2): 17-27.

Chileshe, N.; Rameezdeen, R.; Hosseini, M.R. (2016). Drivers for adopting reverse logistics in the construction industry: a qualitative study. Eng Constr Archit Manag, 23 (2): 134-157.

Chileshe, N.; Rameezdeen, R.; Hosseini, M.R.; Lehmann, S.; Udeaja, C. (2016). Analysis of reverse logistics implementation practices by South Australian construction organizations. Int J Oper Prod Manag, 36 (3): 332-356.

Coates, G.; Rahimifard, S. A cost estimation framework to support increased value recovery from end-of-life vehicles. Int J Comput Integr Manuf, 2008, 21 (8): 895-910.

Dekker, H.C.; van Goor, A.R. (2000). Supply chain management and management accounting: a case study of activity based costing. Int J Logist: Res Appl, 3(1): 41–52.

Deran, A.; Arslan, S.; Köksal, A.G. İşletmelerde Lojistik Maliyetlerin Hesaplanması. Eğitim Press, Konya, Turkey.

Demirel, E.; Demirel, N.; Gökçen, H. (2016). A mixed integer linear programming model to optimize reverse logistics activities of end-of-life vehicles in Turkey. J Clean Prod, 112(3): 2101–2113.

Demirel, N.Ö.; Gökçen, H. (2008). A mixed integer programming model for remanufacturing in reverse logistics environment. Int J Adv Manuf Technol, 39 (11-12): 1197-1206. Directive 2000/53/EC, Available online: http://eurlex.europa.eu/LexUriServ/LexUriServ.do?uri=CONSLEG:2000L0053:20050701:EN:PDF, (Accessed on 20 December 2017).

Doğan, A. (1996). Activity based costing system: Structure, Differences and costing process. Çukurova Univ Fac Econ Adm Sci, 6(1): 207-228.

Fleischmann, M.; Beullens, P.; Bloemhof-Ruwaard, J.M.; van Wassenhove, L.N. (2001).The impact of product recovery on logistics network design. Prod Oper Manag, 10(2): 156-173.

GHK, (2006). A study to examine the benefits of the End of Life Vehicles Directive and the costs and benefits of a revision of the 2015 targets for recycling, re-use and recovery under the ELV Directive, Final report to DG Environment, Birmingham, USA, 2006.

Goldsby, T.J.; Closs, D.J. (2000). Using activity-based costing to reengineer the reverse logistics channel. Int J Physl Distrib Logist Manag, 30(6): 500-514.

Hao, H; Zhang, Q.; Wang, Z; Zhang, J. (2018). Forecasting the number of end-of-life vehicles using a hybrid model based on grey model and artificial neural network. J Clean Prod, 2018, 202,684-696. Hilton, R.W. (2005). Managerial accounting. New York, McGraw-Hill.

Huang, X.X.; Newness, L.B.; Parry, G.C. (2012). The adaptation of product cost estimation techniques to estimate the cost of service. Int J Comput Integr Manuf, 25(4-5): 417-431.

https://izinlisans.cevre.gov.tr/Sorgular/YazilimNetIzinLisansSorgula.aspx, Turkish Republic Ministry of Environment and Urbanization, (Accessed on 10 January 2018).

https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/31736/11-528-depolluting-end-of-life-vehicles-guidance.pdf, Depolluting End-of-Life Vehicles (cars and light goods vehicles) Guidance for Authorised Treatment Facilities, (Accessed 13 December 2017).

Karğın, S. (2013). Rise And Fall Of Activity Based Costing Method. MUFAD J, 2013, 58: 21-40.

Khan, S.A.R.; Dong, Q.L.; Yu, Z.; Khan, S.S. (2017). Research on Decision-making of Green Reverse Logistics in Enterprises: A Case Study on Electronic Products Manufacturers from the Perspective of South Africa. 2017 2nd International Conference on Advances in Management Engineering and Information Technology AMEIT 2017: 11-18.

Krajnc, J.; Logozar, K.; Korosec, B. (2012). Activity-based management of logistic costs in a manufacturing company: A Case of Increased Visibility of Logistic Costs in a Slovenian Paper Manufacturing Company. Traffic and Transp, 2012, 24(1): 15-24.

LaLonde, B.J.; Pohlen, T.L. (1996). Issues in supply chain costing. Int J Logist Manag, 1996, 7(1): 1–12.

Lin, B.; Collins, J.; Su, R.K. (2001). Supply chain costing: an activity-based perspective. Int J Physl Distrib Logist Manag, 2001, 31(10): 702-713.

Lin, Y.; Jia, H.; Yang, Y.; Tian, G.; Tao, F.; Ling, L. (2018). An improved artificial bee colony for facility location allocation problem of end-of-life vehicles recovery network. J Clean Prod, 2018, 205 (2018): 134-144.

Liu, J.M. (2006). End-of-life vehicle recycling and disassembly technique. Chemical Industry Press, Beijing in Chinese, 2006.

Mohan, C.J.B. (2013). The Impact of Logistic Management on Global Competitiveness. Int Jof Bus Manag Invent, 2013, 2(3): 39-42.

Özceylan, E.; Demirel, N.; Çetinkaya, C.; Demirel, E. (2017). A closed-loop supply chain network design for automotive industry in Turkey. Comput Ind Eng, 2017, 113(2017): 727–745.

Özdemir, E.; Kaygusuz, S.Y. (2009). Customer profitability analysis: measuring with activity-based costing and using customer profitability analysis in marketing decisions. “Is, Guc" Ind Relat Hum Resour J, 2009, 11(3): 87-112.

Özkan, A.; Aksoylu, S. (2002). Integrated Implementation of Kaizen and Activity Based Costing. MODAV World Acc Sci, 2002, 4(3): 49-63.

Peretti, U.; Tatham, P.; Wu, Y; Sgarbossa, F. (2015). Reverse logistics in humanitarian operations: challenges and opportunities. J Hum Logist Supply Chain Manag, 2015, 5 (2), 253-274.

Pirttilä, T.; Hautaniemi, P. (1995). Activity-based Costing and Distribution Logistics Management. Int J Prod Econ, 1995, 41(1-3): 327-333.

Pohlen, T.; Coleman, B.J. (2005). Evaluating internal operations and supply chain performance using EVA and ABC, SAM Adv Manag J, 2005, 70(2): 45–58.

Rajeshkumar. B.C.; RameshBabu, T. (2006). Evaluation of logistics related policies between two different levels of the supply chain network—a case study. Ann Op Res, 2006, 143: 77-89.

Schulze, M.; Seuring, S.; Ewering, C.(2012). Applying activity-based costing in a supply chain environment. Int J Prod Econ, 2012, 135 (2012): 716-725.

Seuring, S. Supply chain costing—a conceptual framework in: Seuring S, Goldbach M(Eds.), Cost Management in Supply Chains, Heidelberg, 16-30, 2000.

Shibi, A.; Eglese, R.W. (2010). Combinatorial optimization and Green Logistics. Ann Op Res, 2010, 175: 159-175.

Stapleton, D.; Pati, S.; Beach, E.; Julmanichoti, P. (2004). Activity-based costing for logistics and marketing. Bus Process Manag J, 2004, 10(5): 584-597.

Şen, İ.K. (2014). Management of Logistics Activities and Costing Approaches. Çankırı Karatekin Univ J Fac Econ and Adm Sci, 2014, 4(1): 83-106.

Tsai, W.H.; Hung, S.J. (2009). A fuzzy goal programming approach for green supply chain optimisation under activity-based costing and performance evaluation with a value-chain structure. Int J Prod Res, 2009, 47(18): 4991-5017.

Wang, G.; Gao, Z.; Lin, T.W. (2010). Using ABC to Improve the Logistics Value Chain in a Chinese Food Product Company. Cost Manag, 2010, 24(1): 39-46.

Xia, X.; Li, J.; Tian, H.; Zhou, Z.; Li. H.; Tian, G.; Chu, J. (2016). The construction and cost-benefit analysis of end-of-life vehicle disassembly plant: a typical case in China. Clean Technol Environ Policy, 2016, 18(8): 2663-2675.

Zhongdong, X.; Jianan, S.; Wenjun, S.; Tianwei, W. (2018). Location-allocation problem of reverse logistics for end-of-life vehicles based on the measurement of carbon emissions. Comput Ind Eng, https://doi.org/10.1016/j.cie.2018.12.012.