Research on Dynamic Closed-Loop Remanufacturing Decision-Making Model
International Journal of Science, Technology and Society
Volume 6, Issue 2, March 2018, Pages: 43-46
Received: Jul. 18, 2018; Published: Jul. 19, 2018
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Liang Tu Chen, Department of Commerce Automation and Management, National Pingtung University, Pingtung, Taiwan ROC
Shih Wen Chien, Department of Information Management, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan ROC
Chun Chin Wei, Department of Marketing and Distribution Management, Chien-Hsin University, Chungli, Taiwan ROC
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This study proposes a dynamic multi-period pricing-ordering decision model for a closed-loop remanufacturing system with product substitution between the new and remanufactured goods. In particular, this study considers both new and remanufactured versions of a single product that are both subject to continuous decay and a multivariate demand function of price and time. The problem is formulated using a dynamic programming model. In analyzing the problem, it is assumed that the firm utilizes a periodic review inventory system in which the sales price can be arbitrarily increased or decreased in response to changes in the market demand over the product lifecycle. The proposal model takes the time-value of money into account. In solving the decision-making problem, it is assumed that the aim is to maximize the total discounted profit over a finite planning horizon. The numerical result shows that the total discounted profit is sensitive to demand parameters, but less sensitive to cost parameter and time-discounting factor parameter. In practice, the proposed pricing-ordering model may instruct frequent price-adjustments in the upward or downward direction in response to changes in the demand structure, with advances in information and Internet technology in a cost-effective fashion.
Closed-Loop Remanufacturing, Pricing, Net Present Value
To cite this article
Liang Tu Chen, Shih Wen Chien, Chun Chin Wei, Research on Dynamic Closed-Loop Remanufacturing Decision-Making Model, International Journal of Science, Technology and Society. Vol. 6, No. 2, 2018, pp. 43-46. doi: 10.11648/j.ijsts.20180602.13
Guide Jr VDR, Jayraman V, Srivastava R, Benton WC. Supply chain management for recoverable manufacturing systems. Interfaces 2000; 30 (3):125-142
Srivastava SK. Green supply-chain management: a state-of-the-art literature review. International Journal of Management Reviews 2007; 9 (1):53-80.
Mitra S, Webster S. Competition in remanufacturing and the effects of government subsidies. International Journal of Production Economics 2008; 111 (2):287-298.
Atasu A, Guide Jr VDR, Van Wassenhove LN. Product reuse economics in closed-loop supply chain research. Production and Operations Management 2008; 17 (5):483-496.
Abbey JD, Guide JrA VDR. Typology of remanufacturing in closed-loop supply chains. International Journal of Production Research 2018; 56 (1-2):374-384.
Kurilova-Palisaitiene J, Sundin E, Poksinska B. Remanufacturing challenges and possible lean improvements. Journal of Cleaner Production 2018; 172:3225-3236.
Low JSC, Ng YT. Improving the economic performance of remanufacturing systems through flexible design strategies: a case study based on remanufacturing laptop computers for the cambodian market. Business Strategy and the Environment 2018; 27 (4):503-527.
de Brito MP, Flapper SDP, Dekker R. Reverse logistics: a review of case studies. Report Series Research in Management ERS-2003-012-LIS, Erasmus University Rotterdam, the Netherlands. 2003.
Ferrer G, Ketzenberg ME. Value of information in remanufacturing complex products. IIE Transactions 2004; 36 (3):265-277.
Fleischmann M, Van Nunen JAEE, Gräve B. Integrating closed loop supply chains and spare parts management at IBM. Interfaces 2004; 33 (6):44-56.
Chaowanapong J, Jongwanich J, Ijomah W. The determinants of remanufacturing practices in developing countries: evidence from Thai industries. Journal of Cleaner Production 2018; 170:369-378.
Kalverkamp M, Raabe T. Automotive remanufacturing in the circular economy in Europe: marketing system challenges. Journal of Macromarketing 2018; 38 (1):112-130.
Whitin TM. Inventory control and price theory. Management Science 1955; 2:61-68.
Mills ES. Uncertainty and price theory. Quarterly Journal of Economics 1959; 73:116-130.
Webster S, Mitra S. Competitive strategy in remanufacturing and the impact of take-back laws. Journal of Operations Management 2007; 25:1123-1140.
Ferrer G, Swaminathan JM. Managing new and differentiated remanufactured products. European Journal of Operational Research 2010; 203 (2):370-379.
Chen LT.Dynamic co-opetitive approach of a closed loop system with remanufacturing for deteriorating items in e-markets, Journal of Manufacturing Systems 2014; 33 (1): 166-176.
Chen JM, Chen LT. Periodic pricing and replenishment policy for continuously decaying inventory with multivariate demand, Applied Mathematical Modelling 2007; 31( 9): 1819-1828.
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