Managing a Single-Product Assemble-to-Order System with Technology Innovations

Published Online:https://doi.org/10.1287/mnsc.1070.0709

References

  • Agrawal N., Cohen M. Optimal material control and performance evaluation in an assembly environment with component commonality. Naval Res. Logist. (2001) 48:409–420CrossrefGoogle Scholar
  • Akçay Y., Xu S. H. Joint inventory replenishment and component allocation optimization in an assemble-to-order system. Management Sci. (2004) 50:99–116LinkGoogle Scholar
  • Angelus A., Porteus E. Simultaneous capacity and production management of short-life-cycle, produce-to-stock goods under stochastic demand. Management Sci. (2002) 48:339–413LinkGoogle Scholar
  • Baker K., Magazine M., Nuttle H. The effect of commonality of safety stock in a simple inventory model. Management Sci. (1986) 32:320–332LinkGoogle Scholar
  • Billington C., Lee H. L., Tang C. S. Successful strategies for product rollovers. Sloan Management Rev. (1998) 24–30Google Scholar
  • Cheng F., Ettl M., Lin G., Yao D. Inventory-service optimization in configure-to-order systems: From machine-type models to building blocks. Manufacturing Service Oper. Management (2002) 4:114–132LinkGoogle Scholar
  • Clark D. Intel chip is cited in AMD price cut. Wall Street J. (2001) August 28):B4Google Scholar
  • Dayanik S., Song J.-S., Xu S. H. The effectiveness of several performance bounds for capaciated production, partial-order-service, assemble-to-order systems. Manufacturing Service Oper. Management (2003) 5:230–251LinkGoogle Scholar
  • Eynan A., Rosenblatt R. Component commonality effects on inventory costs. IIE Trans. (1996) 28:93–104CrossrefGoogle Scholar
  • Gallien J., Wein L. A simple and effective component procurement policy for stochastic assembly systems. Queueing Systems (2001) 38:221–248CrossrefGoogle Scholar
  • Gerchak Y., Henig M. Component commonality in assemble-to-order systems: Models and properties. Naval Res. Logist. (1989) 36:61–68CrossrefGoogle Scholar
  • Gerchak Y., Magazine M., Gamble A. Component commonality with service level requirement. Management Sci. (1988) 34:753–760LinkGoogle Scholar
  • Gjerde K. A. P., Slotnick S. A., Sobel M. J. New product innovation with multiple features and technology constraints. Management Sci. (2002) 48:1268–1284LinkGoogle Scholar
  • Glasserman P., Wang Y. Lead-time-inventory trade-offs in assemble-to-order systems. Oper. Res. (1998) 46:858–871LinkGoogle Scholar
  • Hausman W., Lee H. L., Zhang A. Joint demand fulfillment probability in a multi-item inventory system with independent order-up-to policies. Eur. J. Oper. Res. (1998) 109:646–659CrossrefGoogle Scholar
  • Hillier M. Component commonality in multi-period assemble-to-order systems. IIE Trans. (1998) 32:755–766CrossrefGoogle Scholar
  • Hopp W., Nair S. Timing replacement decisions under discontinuous technological change. Naval Res. Logist. (1991) 38:203–220CrossrefGoogle Scholar
  • Hopp W., Nair S. Markovian deterioration and technological change. IIE Trans. (1994) 26:74–82CrossrefGoogle Scholar
  • Hsu V., Lee C. Y., So K. C. Optimal component stocking policy for assemble-to-order systems with lead-time-dependent product pricing. Management Sci. (2006) 52:337–351LinkGoogle Scholar
  • Jain A., Moinzadeh K. A supply chain model with reverse information exchange. Manufacturing Service Oper. Management (2005) 7:360–378LinkGoogle Scholar
  • Lu Y., Song J.-S., Yao D. Order fill rate, leadtime variability, and advance demand information in an assemble-to-order system. Oper. Res. (2003) 51:292–308LinkGoogle Scholar
  • Nahmias S. Optimal ordering policies for perishable inventory-II. Oper. Res. (1975) 23:735–749LinkGoogle Scholar
  • Nair S. Modeling strategic investment decisions under sequential technological change. Management Sci. (1995) 41:282–297LinkGoogle Scholar
  • Nansakumar P., Morton T. Near-myopic heuristics for the fixed-life perishable problem. Management Sci. (1993) 39:1490–1498LinkGoogle Scholar
  • Neuts M.Matrix-Geometric Solutions in Stochastic Models: An Algorithm Approach (1981) (Johns Hopkins University Press, Baltimore, MD) Google Scholar
  • Raafat F. Survey of literature on continuously deteriorating inventory models. J. Oper. Res. Soc. (1991) 42:27–37CrossrefGoogle Scholar
  • Rajagopalan S., Singh M., Morton T. Capacity expansion and replacement in growing markets with uncertain technological breakthroughs. Management Sci. (1998) 44:12–30LinkGoogle Scholar
  • Roberts E. B.Generating Technological Innovation (1987) (Oxford University Press, New York) Google Scholar
  • Rosling K. Optimal inventory policies for assembly systems under random demands. Oper. Res. (1989) 37:565–579LinkGoogle Scholar
  • Schlender B. Apple slips as result of hoarding chips. Wall Street J. (1989) January 30):A1Google Scholar
  • Silverberg G., Lehnert D. Long waves and evolutionary chaos in a simple schumpeterian model of embodied technical change. Structural Change Econom. Dynam. (1993) 4:9–37CrossrefGoogle Scholar
  • Silverberg G., Verspagen B. Breaking the waves: A poisson-regression approach to schumpeterian clustering of basic innovations. Cambridge J. Econom. (2003) 27:671–693CrossrefGoogle Scholar
  • Song J.-S. On the order fill rate in a multi-item, base-stock inventory system. Oper. Res. (1998) 46:831–845LinkGoogle Scholar
  • Song J.-S., Yao D. Performance analysis and optimization of assemble-to-order systems with random lead times. Oper. Res. (2002) 50:889–903LinkGoogle Scholar
  • Song J.-S., Zipkin P. Managing inventory with the prospect of obsolescence. Oper. Res. (1996) 44:215–222LinkGoogle Scholar
  • Song J.-S., Zipkin P., de Kok A. G., Graves S. C. Supply chain operations: Assemble-to-order systems. Handbooks in Operations Research and Management Science (2003) (Elsevier, Amsterdam, The Netherlands) 561–596CrossrefGoogle Scholar
  • Song J.-S., Xu S. H., Liu B. Order-fullfillment performance measures in an assemble-to-order system with stochastic leadtimes. Oper. Res. (1999) 47:131–149LinkGoogle Scholar
  • Souza G., Bayus B., Wagner H. New-product strategy and industry clockspeed. Management Sci. (2004) 50:537–549LinkGoogle Scholar
  • Swaminathan J., Tayur S. Managing broader product lines through delayed differentiation using vanilla boxes. Management Sci. (1998) 44:S161–S172LinkGoogle Scholar
  • Tekin E., Gurler U., Berk E. Age-based vs. stock-level control policies for a perishable inventory system. Eur. J. Oper. Res. (2001) 134:309–329CrossrefGoogle Scholar
  • Veinott A. Optimal policy for a multi-product, dynamic, nonstationary inventory problem. Management Sci. (1965) 12:206–222LinkGoogle Scholar
  • Walrand J.An Introduction to Queuing Networks (1988) (Prentice Hall, Englewood Cliffs, NJ) Google Scholar
  • Wheelwright S. C., Clark K. B.Revolutionizing Product Development: Quantum Leaps in Speed, Efficiency, and Quality (1992) (Free Press, New York) Google Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.