Fernandes, Rui and Gouveia, Borges and Pinho, Carlos (2010): Modeling Overstock. Published in: 17th international annual euroma conference. Book of abstracts No. Managing Operations in Service Economies (6. June 2010): p. 72.
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Two main problems have been emerging in supply chain management: the increasing pressure to reduce working capital and the growing variety of products. Most of the popular indicators have been developed based on a controlled environment. A new indicator is now proposed, based on the uncertainty of the demand, the flexibility of the supply chains, the evolution of the products lifecycle and the fulfillment of a required service level. The model to support the indicator will be developed within the real options approach.
|Item Type:||MPRA Paper|
|Original Title:||Modeling Overstock|
|Keywords:||overstock, stock management, real options|
|Subjects:||E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E22 - Investment ; Capital ; Intangible Capital ; Capacity
C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis
|Depositing User:||Rui Fernandes|
|Date Deposited:||19. Sep 2010 15:51|
|Last Modified:||12. Feb 2013 15:39|
Antanies, J. (2002), “Recognizing the effects of uncertainty to achieved working capital efficiency”, Pulp & Paper. San Francisco, Vol. 76, Iss. 7, pp. 46, 4 pgs.
Bengtsson, J. (2001), “Manufacturing flexibility and real options”, Department of Production Economics, IMIE, Linköping Institute of Technology, S-581 83, Linköping, Sweden.
Bish, E.; Liu, J. and Suwandechochai, R.(2009), “Optimal Capacity, Product Substitution, Linear Demand Models, and Uncertainty”, The Engineering Economist. Norcross: Apr-Jun, Vol. 54, Iss. 2, pp. 109.
Bollapragada, R.; Rao, U.S. and Zhang, J. (2004), “ Managing two-stage serial inventory systems under demand and supply uncertainty and customer service level requirements”, IIE Transactions, 36, pp.73–85.
Borgonovo, E. and Peccati, L. (2007), “Global sensitivity analysis in inventory management “, International Journal of Production Economics. Amsterdam, Jul, Vol. 108, Iss. ½, pp. 302.
Boyer, M.; Christoffersen, P.; Lasserre, P. and Pavlov, A. (2003), “Value Creation, Risk Management, and Real Options”, CIRANO, Université de Montréal, McGill University, UQÀM, Simon Fraser University.
Ding, D. and Chen, J. (2008), “Coordinating a three level supply chain with flexible return policies”, Omega, Oxford, Vol. 36, Iss. 5, Oct, pp. 865.
Emsermann, M. and Simon, B. (2007), “Optimal Control of an Inventory with Simultaneous Obsolescence”, Interfaces. Linthicum, Sep/Oct , Vol. 37, Iss. 5, p. 445 (12 pages).
Forslund, H. and Jonsson, P. (2007), “The impact of forecast information quality on supply chain performance”, International Journal of Operations & Production Management, vol 27, n 1, pp. 90- 107, 98-104.
Gertner, R.; Rosenfield, A. (1999), “How real options lead to better decisions; [Surveys edition]” Financial Times. London (UK): Oct 25, p. 06.
Graman,G. A. (2010), “A partial-postponement decision cost model”, European Journal of Operational Research, Amsterdam, Feb 16, Vol. 201, Iss. 1; pp. 34.
Graves, S. C.; Willems, S. P. (2000), “Optimizing strategic stock placement in supply chains”, Manufacturing & Service Operations Management, Informs, Vol 2, Nº 1, Winter, pp 68-83.
Hadley, S. W. (2004), “A Modern View of Inventory”, Strategic Finance. Montvale, Vol. 86, Iss. 1, p.30,6pgs.
Hemmelmayr, V.; Doerner, K. F.; Hartl, R. F.; Savelsbergh, Martin WP (2010), “Vendor managed inventory for environments with stochastic product usage”, European Journal of Operational Research, Amsterdam, May 1, Vol. 202, Iss. 3, pp. 686.
Handfield, R.; Warsing, D. and Wu, X. (2009), “ (Q,r) Inventory policies in a fuzzy uncertain supply chain environment”, European Journal of Operational Research, Amsterdam, Sep 1, Vol. 197, Iss. 2, pp. 609.
Jian, L. and Ma, S. (2004), “Research on values of safety factor coordination under random supply”, International Journal of Services Technology and Management, Geneva, Vol. 5, Iss. 1; pp. 90.
Jia-zhen, H.; Jian-jun, Z.; Jin, Z. (2007), “Influence of Overstock Risk on Buy Back Strategy in Supply Chain”,Wireless Communications, Networking and Mobile Computing, WiCom. International Conference on, 21-25 Sept., pp 4657 – 4661.
Lapide, L. (2008), “How Buffers Can Mitigate Risk”, Supply Chain Management Review. New York, Apr, Vol. 12, Iss. 4, pp. 6, 1 pgs.
Lusa, A. ; Corominas, A. and Muñoz, N. (2008), “A multistage scenario optimisation procedure to plan annualised working hours under demand uncertainty”, International Journal of Production Economics, Amsterdam, Jun, Vol. 113, Iss. 2, pp. 957.
Marvel, H. P. and Wang, H. (2007), “A generic approach to measuring the machine flexibility of manufacturing systems Inventories, Manufacturer Returns Policies, and Equilibrium Price Dispersion under Demand Uncertainty”, Journal of Economics & Management Strategy, Cambridge, Winter, Vol. 16, Iss. 4, pp. 1031.
Matuyama, K.; Sumita, T. and Wakayama, D. (2009), “Periodic forecast and feedback to maintain target inventory level”, International Journal of Production Economics, Amsterdam, Mar, Vol. 118, Iss. 1, pp. 298. 10
Moole, B. R. and Korrapati, R. B. K. (2004), “A Decision Support System Model for Forecasting in Inventory Management using Probabilistic Multidimensional Data Model (PMDDM)”, Allied Academies International Conference. Academy of Information and Management Sciences. Proceedings. Cullowhee, Vol. 8, Iss. 2, pp. 35, 6 pgs.
Mukhopadhyay, S. K. and Ma, H. (2009), “Joint procurement and production decisions in remanufacturing under quality and demand uncertainty”, International Journal of Production Economics, Amsterdam, Jul, Vol. 120, Iss. 1; pp. 5.
Pearson, M. (2003), “An equilibrium solution to supply chain synchronization”, Centre for Mathematics and Statistics, Management School, Napier University, Edinburgh, EH11 4BN, UK IMA Journal of Management Mathematics, 14(3), pp.165-185.
Pindyck, R. S. (1988), “Irreversible Investment, Capacity Choice, and the Value of the Firm”, The American Economic Review, Vol. 78, No. 5, pp. 969-985.
Ryu, Seung-Jin; Tsukishima, T.; Onari, H. (2009), “A study on evaluation of demand information-sharing methods in supply chain”, International Journal of Production Economics, Amsterdam, Jul, Vol. 120, Iss. 1, pp. 162.
Sengupta, S. (2004), “The top 10 supply chain mistakes”, Supply Chain Management Review, New York, Vol. 8, Iss. 5, Jul/Aug, pp. 42.
Sheffi, Y. (2001), “Supply Chain Management Under The Threat of International Terrorism”, The International Journal of Logistics Management, 12, 2, pp. 1-11.
Sodhi, ManMohan S. and Tang, C. S. (2009), “Modeling supply-chain planning under demand uncertainty using stochastic programming: A survey motivated by asset-liability management”, International Journal of Production Economics, Amsterdam, Oct, Vol. 121, Iss. 2, pp. 728.
Song, Dong-Ping (2008), “Stability and optimization of a production inventory system under prioritized base-stock control”, International Shipping & Logistics Group, The Business School, University of Plymouth, UK.
Song, Jing-Sheng; Zhang, H.; Hou, Y. and Wang, M. (2010), “The Effect of Lead Time and Demand Uncertainties in (r, q) Inventory Systems”, Operations Research. Linthicum, Jan/Feb, Vol. 58, Iss. 1, pp. 68, 16 pgs.
Stalk, G. (2008), “Confronting the Growing Supply Chain Crisis”, Business Finance, Loveland, Vol. 14, Iss. 6, Jun, pp. 28-29.
Tan, T. (2008), “Using Imperfect Advance Demand Information in Forecasting”, Department of Technology Management, Eindhoven University of Technology, IMA Journal of Management Mathematics Advance, February 16.
Tannous, G.F. (1996), “Capital Budgeting for Volume Flexible Equipment”, Decision Sciences, 27, No. 2. pp. 157-184.
Walsh, P. M.; Williams, P. A. and Heavey, C. (2007), “Investigation of rolling horizon flexibility contracts in a supply chain under highly variable stochastic demand”, Enterprise Engineering Research Group, Department of Manufacturing and Operations Engineering, University of Limerick, Ireland.