An optimal stocking policy for machining tools with stochastically distributed lifespan and demand

References

• Adhitya, A., I. Halim, and R. Srinivasan. 2011. “Decision Support for Green Supply Chain Operations by Integrating Dynamic Simulation and LCA Indicators: Diaper Case Study.” Environmental Science & Technology 45 (23): 10178–10185.
   PubMed Web of Science ®Google Scholar
• Alves de Albuquerque, Gabriel, Paulo Maciel, Ricardo Massa Ferreira Lima, F. Magnani, and R. Massa. 2013. “Strategic and Tactical Evaluation of Conflicting Environment and Business Goals in Green Supply Chains.” IEEE Transactions on Systems, Man, and Cybernetics: Systems 43 (5): 1013–1027.10.1109/TSMCA.2012.2227311
   Web of Science ®Google Scholar
• Amin, S. H., and G. Zhang. 2012. “An Integrated Model for Closed-loop Supply Chain Configuration and Supplier Selection: Multi-objective Approach.” Expert Systems with Applications 39 (8): 6782–6791.10.1016/j.eswa.2011.12.056
   Web of Science ®Google Scholar
• Bonvoisin, J., S. Thiede, and D. Brissaud. 2013. “An Implemented Framework to Estimate Manufacturing-related Energy Consumption in Product Design.” International Journal of Computer Integrated Manufacturing 26 (9): 866–880.10.1080/0951192X.2013.799782
   Web of Science ®Google Scholar
• Cobb, B. R., R. Rumi, and A. Salmeron. 2013. “Inventory Management with Log-normal Demand per Unit Time.” Computer & Operation Research 40 (7): 1842–1851.
   Web of Science ®Google Scholar
• El Wardany, T. I., and M. A. Elbestawi. 1997. “Prediction of Tool Failure Rate in Turning Hardened Steels.” International Journal of Advanced Manufacturing Technology 13 (1): 1–16.10.1007/BF01179225
   Web of Science ®Google Scholar
• Geismar, H. N., G. Laporte, L. Lei, and C. Sriskandarajah. 2008. “The Integrated Production and Transportation Scheduling Problem for a Product with a Short Lifespan.” INFORMS Journal on Computing 20 (1): 21–33.10.1287/ijoc.1060.0208
   Web of Science ®Google Scholar
• Hirvikorpi, M., T. Knuutila, and T. Leipälä. 2007. “Job Scheduling and Management of Wearing Tools with Stochastic Tool Lifetimes.” International Journal of Flexible Manufacturing Systems 19 (4): 443–462.10.1007/s10696-008-9043-y
   Google Scholar
• Hsu, P. H., H. M. Teng, and Y. T. Jou. 2008. “Coordinated Ordering Decisions for Products with Short Lifecycle and Variable Selling Price.” Computers & Industrial Engineering 54 (3): 602–612.
   Web of Science ®Google Scholar
• Inderfurth, K., P. Kelle, and R. Kleber. 2013. “Dual Sourcing Using Capacity Reservation and Spot Market: Optimal Procurement Policy and Heuristic Parameter Determination.” European Journal of Operational Research 225 (2): 289–309.
   Web of Science ®Google Scholar
• Karimi-Nasab, M., S. Dowlatshahi, and H. Heidari. 2013. “A Multiobjective Distribution-pricing Model for Multiperiod Price-sensitive Demands.” IEEE Transactions on Engineering Management 60 (3): 640–654.10.1109/TEM.2012.2223822
   Web of Science ®Google Scholar
• Kim, H., J. Lee, and C. Jung. 2013. “Scheduling Cluster Tools with Ready Time Constraints for Consecutive Small Lots.” IEEE Transactions on Automation Science and Engineering 10 (1): 145–159.10.1109/TASE.2012.2220355
   Web of Science ®Google Scholar
• Li, C. R., and B. R. Sarker. 2013. “Lifespan Prediction of Cutting Tools for High-value-added Products.” International Journal of Advanced Manufacturing Technology 69 (5–8): 1887–1894.10.1007/s00170-013-5160-1
   Web of Science ®Google Scholar
• Minguez Gabiña, R., S. Zamora de la Fuente, and L. Barrenetxea Apraiz. 2013. “Life Cycle Assessment in Switchgears for Primary Electrical Distribution.” DYNA 88 (3): 543–550.10.6036/dynaii
   Google Scholar
• Mungan, D., J. Yu, and B. R. Sarker. 2010. “Manufacturing Lot-sizing, Procurement and Delivery Schedules over a Finite Planning Horizon.” International Journal of Production Research 48 (12): 3619–3636.10.1080/00207540902878228
   Web of Science ®Google Scholar
• Naeem, M. A., D. J. Dias, and R. Tibrewal. 2013. “Production Planning Optimization for Manufacturing and Remanufacturing System in Stochastic Environment.” Journal of Intelligent Manufacturing 24 (4): 717–728.10.1007/s10845-011-0619-0
   Web of Science ®Google Scholar
• Nair, A., and D. J Closs. 2006. “An Examination of the Impact of Coordinating Supply Chain Policies and Price Markdowns on Short Lifecycle Product Retail Performance.” International Journal of Production Economics 102 (2): 379–392.10.1016/j.ijpe.2005.04.009
   Web of Science ®Google Scholar
• Parija, G. R., and B. R. Sarker. 1999. “Operations Planning in a Supply Chain System with Fixed-interval Deliveries of Finished Goods to Multiple Customers.” IIE Transactions 31 (11): 1075–1082.
   Web of Science ®Google Scholar
• Sarker, B. R. 1989. “Simulating a Just-in-time Production System.” Computers & Industrial Engineering 16 (1): 127–137.
   Web of Science ®Google Scholar
• Shaw, M. C. 2005. Metal Cutting Principles. New York: Oxford University Press.
   Google Scholar
• Shen, Y., and S. P. Willems. 2012. “Strategic Sourcing for the Short-lifecycle Products.” International Journal of Production Economics 139 (2): 575–585.10.1016/j.ijpe.2012.05.032
   Web of Science ®Google Scholar
• Taleizadeh, A. A., S. T. A. Niaki, and H. Wee. 2013. “Joint Single Vendor–Single Buyer Supply Chain Problem with Stochastic Demand and Fuzzy Lead-time.” Knowledge-Based Systems 48: 1–9.10.1016/j.knosys.2013.03.011
   Web of Science ®Google Scholar
• Ventura, J. A., V. A. Valdebenito, and B. Golany. 2013. “A Dynamic Inventory Model with Supplier Selection in a Serial Supply Chain Structure.” European Journal of Operational Research 230 (2): 258–271.10.1016/j.ejor.2013.03.012
   Web of Science ®Google Scholar
• Yu, J., D. Mungan, and B. R. Sarker. 2011. “An Integrated Multi-stage Supply Chain Inventory Model under an Infinite Planning Horizon and Continuous Price Decrease.” Computers & Industrial Engineering 61 (1): 118–130.
   Web of Science ®Google Scholar
• Yu, J., B. R. Sarker, Q. Duan, and B. Wu. 2012. “Single-manufacturer, Multi-retailer Consignment Policy for Retailers’ Generalized Demand Distributions.” Journal of the Operational Research Society 63 (12): 1708–1719.10.1057/jors.2012.13
   Web of Science ®Google Scholar