Measures for auditing performance and integration in closed‐loop supply chains

Adrian E.Coronado Mondragon1, ChandraLalwani1, Christian E.Coronado Mondragon2
1The University of Hull Logistics Institute, Hull, UK
2Départment de Mathématiques et Génie Industriel, École Polytechnique de Montréal, Campus de l'Université de Montréal, Montréal, Quebec, Canada

Tóm tắt

PurposeIn a growing number of competitive sectors with closed‐loop supply chains, the reverse component has become an inherent part of the business, not to mention a core competence; hence the need to have performance measures that can be used to provide an accurate diagnosis of the state of the supply chain by addressing both its forward and its reverse components. It is also important to identify the level of existing integration between parties, as this has been associated with supply chain performance. This paper seeks to address this issue.Design/methodology/approachElements gathered from the literature reviewed are used to present a set of measures that can be applied for auditing purposes in: the forward supply chain; product returns and reverse logistics; flows of materials and information and integration between supply chain tiers. To illustrate the use of the proposed set of measures for auditing purposes a case study involving a major European mobile phone network operator was analysed using the operator's own brand of handsets characterised for having a closed‐loop supply chain.FindingsThe proposed set of measures for auditing purposes provide an overall picture of the performance of a closed‐loop supply chain by revealing high levels of stock for the products analysed, consequence of the difficulty to generate accurate forecasts and the accumulation of high quantities of product prior to launch. Also the methodology presented in this paper identifies links between product returns (faulty and non‐faulty) to operations in the forward component of the supply chain (design, sourcing, manufacturing and forecasting) and also indicates how performance is affected because of integration.Research limitations/implicationsThe proposed set of measures for auditing purposes is relevant to closed‐loop supply chains which are related to products with short life cycles and during their lifetime can experience faulty and non‐faulty returns. The scope of the study presented may look limited; however, the application of the performance measures presented in this research can become a fundamental component of larger audit exercises. Further research should be carried out with supply chains on products with lifetime cycles that span long periods of time.Practical implicationsFor industry sectors with closed‐loop supply chains, the availability of a set of measures that address the forward and reverse components plus integration can provide a detailed picture of the performance of value streams over traditional approaches to measurement that focus on only one component of the supply chain. The set of measures has the potential to be used to achieve better customer service and reduction in costs involving shipping, warehousing, labour and call centres.Originality/valueThe contribution of this research on closed‐loop supply chains is a methodology that defines performance measures for auditing purposes of the forward and reverse components of supply chains and assists in assessing the importance of integration between different tiers of supply chains.

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Tài liệu tham khảo

Bagchi, P.K., Chung, H.B., Skjoett‐Larsen, T. and Soerensen, B. (2005), “Supply chain integration: a European survey”, International Journal of Logistics Management, Vol. 16 No. 2, pp. 275‐94.

Bhagwat, R. and Kumar Sharma, M. (2007), “Performance measurement of supply chain management: a balanced scorecard approach”, Computers and Industrial Engineering, Vol. 53 No. 1, pp. 43‐58.

Bolstorff, P. and Rosenbaum, R. (2003), Supply Chain Excellence: A Handbook for Dramatic Improvement Using the SCOR Model, AMACOM, New York, NY.

Cellular‐News (2006), available at: www.cellular‐news.com/story/18310.php (accessed December 2007).

Childerhouse, P. and Towill, D.R. (2002), “Analysis of the factors affecting the real‐world value stream performance”, International Journal of Production Research, Vol. 40 No. 15, pp. 3499‐518.

Cohen, M. (2006), “Five things you need to know to maximise the service supply chain”, Reverse Logistics Magazine, April, pp. 24‐5.

Coleman, J., Lyons, A.C. and Kehoe, D.F. (2004), “The glass pipeline: increasing supply chain synchronisation through information transparency”, International Journal of Technology Management, Vol. 28 No. 2, pp. 172‐90.

Coronado, A.E., Lyons, A.C., Kehoe, D.F. and Coleman, J. (2004), “Enabling mass customisation: extending build‐to‐order concepts to supply chains”, Production Planning and Control, Vol. 15 No. 4, pp. 398‐411.

Coronado Mondragon, A.E. and Lyons, A.C. (2008), “Investigating the implications of extending synchronised sequencing in automotive supply chains: the case of suppliers in the European automotive sector”, International Journal of Production Research, Vol. 46 No. 11, pp. 2867‐88.

De Brito, M. and Dekker, R. (2003), “A framework for reverse logistics”, ERIM Report series Research in Management, Erasmus University, Rotterdam.

De Brito, M.P. and Dekker, R. (2004), “A framework for reverse logistics”, in Dekker, R., Fleischmann, M., Inderfurth, K. and Van Wassenhove, L.N. (Eds), Reverse Logistics: Quantitative Models for Closed‐Loop Supply Chain, Springer, Berlin, pp. 1‐27.

Ellram, L.M. (2002), Strategic Cost Management in the Supply Chain: A Purchasing and Supply Management Perspective, CAPS Research, Tempe, AZ.

Fleischmann, M., Bloemhof‐Ruwaard, J.M., Dekker, R., Van der Laan, E., Van Nunen, J. and Van Wassenhove, L. (1997), “Quantitative models for reverse logistics: a review”, European Journal of Operational Research, Vol. 103, pp. 1‐17.

Frohlich, M.T. and Westbrook, R. (2001), “Arcs of integration: an international study of supply chain strategies”, Journal of Operations Management, Vol. 19, pp. 185‐200.

Guiffrida, A. and Nagi, R. (2006), “Cost characterizations of supply chain delivery performance”, International Journal of Production Economics, Vol. 102 No. 1, pp. 22‐36.

Gunasekaran, A. and Kobu, B. (2007), “Performance measures and metrics in logistics and supply chain management: a review of recent literature (1995‐2004) for research and applications”, International Journal of Production Research, Vol. 45 No. 12, pp. 2819‐40.

Gunasekaran, A., Lai, K.‐H. and Cheng, T.C.E. (2008), “Responsive supply chain: a competitive strategy in a networked economy”, Omega, Vol. 36, pp. 549‐64.

Gunasekaran, A., Patel, C. and McGaughey, R.E. (2004), “A framework for supply chain performance measurement”, International Journal of Production Economics, Vol. 87, pp. 333‐47.

Gunasekaran, A., Patel, C. and Tirtiroglu, E. (2001), “Performance measures and metrics in a supply chain environment”, International Journal of Operations & Production Management, Vol. 21 Nos 1/2, pp. 71‐87.

Hameri, A.P. and Paatela, A. (2005), “Supply network dynamics as a source of new business”, International Journal of Production Economics, Vol. 98, pp. 41‐55.

Hart, S. (1997), “Beyond greening strategies for a sustainable world”, Harvard Business Review, January/February, pp. 66‐76.

Heikkila, J. (2002), “From supply to demand chain management: efficiency and customer satisfaction”, Journal of Operations Management, Vol. 20 No. 6, pp. 747‐67.

Jayaraman, V. and Luo, Y. (2007), “Creating competitive advantages through new value creation: a reverse logistics perspective”, Academy of Management Perspectives, May, pp. 57‐73.

Johnston, D.A., McCutcheon, D.M., Stuart, F.I. and Kerwood, H. (2004), “Effects of supplier trust on performance of cooperative supplier relationship”, Journal of Operations Management, Vol. 22, pp. 23‐38.

Lee, H.L., Padmanabhan, V. and Whang, S. (1997), “Information distortion in supply chain: the bullwhip effect”, Management Science, Vol. 43 No. 4, pp. 546‐58.

Lee, H.L., So, K.C. and Tang, C.S. (2000), “The value of information sharing in a two‐level supply chain”, Management Science, Vol. 46 No. 5, pp. 626‐43.

Lyons, A.C., Coronado Mondragon, A.E., Bremang, A., Kehoe, D.F. and Coleman, J. (2005), “Prototyping an information systems' requirements architecture for customer‐driven, supply‐chain operations”, International Journal of Production Research, Vol. 43 No. 20, pp. 4289‐319.

MAMTC (2006), “Giving manufacturers the edge”, available at: www.mamtc.com/lean/building_vsm.asp.

Mukhopadhyay, T., Rajiv, S. and Srinivasan, K. (1997), “Information technology impact on process output and quality”, Management Science, Vol. 43 No. 12, pp. 1645‐59.

Potter, A., Mason, R., Naim, M. and Lalwani, C. (2004), “The evolution towards an integrated steel supply chain”, International Journal of Production Economics, Vol. 89, pp. 207‐16.

Prahinski, C. and Kocabasoglu, C. (2006), “Empirical research opportunities in reverse supply chains”, Omega, Vol. 34, pp. 519‐32.

Rai, A., Patnayakuni, R. and Seth, N. (2006), “Firm performance impacts of digitally enabled supply chain integration capabilities”, MIS Quarterly, Vol. 30 No. 2, pp. 225‐46.

Reverse Logistics Executive Council (2004), available at: www.rlec.org/Contact.html.

Rogers, D.S. and Tibben‐Lembke, R.S. (1999), Going Backwards: Reverse Logistics Trends and Practices, Reverse Logistics Executive Council, Reno, NV.

Romano, P. (2003), “Co‐ordination and integration mechanisms to manage logistics processes across supply markets”, Journal of Purchasing and Supply Management, Vol. 9, pp. 119‐34.

Seaman, C. (1999), “Qualitative methods in empirical studies of software engineering”, IEEE Transactions on Software Engineering, Vol. 25 No. 4, pp. 557‐72.

Stock, J.R., Speh, T.W. and Shear, L.H. (2002), “Many happy (product) returns”, Harvard Business Review, Vol. 80 No. 7, pp. 16‐17.

Thierry, M., Salomon, M., van Nunen, J. and van Wassenhove, L. (1995), “Strategic issues in product recovery management”, California Management Review, Vol. 37 No. 2, pp. 114‐34.

Van der Vaart, T. and Van Donk, D.P. (2008), “A critical review of survey‐based research in supply chain integration”, International Journal of Production Economics, Vol. 111, pp. 42‐55.

Van Nunen, J.A.E.E. and Zuidwijk, R.A. (2004), “E‐enabled closed‐loop supply chains”, California Management Review, Vol. 46 No. 2, pp. 40‐53.

Wells, P. and Seitz, M. (2005), “Business models and closed‐loop supply chains: a typology”, Supply Chain Management: An International Journal, Vol. 10 No. 4, pp. 249‐51.

Yin, R. (1994), Case Study Research, Design and Methods, 2nd ed., Sage Publications, Thousand Oaks, CA.