Revenue management for make-to-order manufacturing systems with a real-life application

References

• Barut, M. and Sridharan, V. (2005) Revenue management in order‐driven production systems. Decision Sciences, 36, 287–316.
   Web of Science ®Google Scholar
• Baykasoğlu, A., Gökçen, M. and Unutmaz, Z.D. (2008) New approaches in due date assignment in job shops. European Journal Of Operational Research, 187, 31–45.
   Web of Science ®Google Scholar
• Behret, H. and Korugan, A. (2007) Performance analysis of a hybrid system under quality impact of returns. Computers and Industrial Engineering, 56, 507–520.
   Web of Science ®Google Scholar
• Calosso, T., Cantamessa, M., Vu, D. and Villa, A. (2003) Production planning and order acceptance in business to business electronic commerce. International Journal of Production Economics, 85, 233–249.
   Web of Science ®Google Scholar
• Chaharsooghi, S.K., Honarvar, M., Modarres, M. and Kamalabadi, I.N. (2011) Developing a two stage stochastic programming model of the price and lead-time decision problem in the multi-class make-to-order firm. Computers and Industrial Engineering, 61, 1086–1097.
   Web of Science ®Google Scholar
• Chen, C.S., Mestry, S., Damodaran, P. and Wang, C. (2009) The capacity planning problem in make-to-order enterprises. Mathematical and Computer Modeling, 50, 1461–1473.
   Google Scholar
• Chen, J. and Askin, R.G. (2006) Throughput maximization in serial production lines with work sharing. International Journal Of Production Economics, 99, 88–101.
   Web of Science ®Google Scholar
• Cheraghi, S.H., Dadashzadeh, M. and Venkitachalam, P. (2010) Revenue management in manufacturing: a research landscape. Journal of Business and Economics Research, 8, 63–72.
   Google Scholar
• Defregger, F. and Kuhn, H. (2007) Revenue management for a make-to-order company with limited inventory capacity. OR Spectrum, 29, 137–156.
   Web of Science ®Google Scholar
• Easton, F.F. and Moodie, D.R. (1999) Pricing and lead time decisions for make-to-order firms with contingent orders. European Journal of Operational Research, 116, 305–318.
   Web of Science ®Google Scholar
• Fan, L. and Chen, X. (2008) Order acceptance and capacity allocation policies based on revenue management. International Conference on Information Management, Innovation Management and Industrial Engineering, 3, 248–251.
   Google Scholar
• Gallien, J., Le Tallec, Y. and Schoenmeyr, T. (2004) A model for make-to-order revenue management. Working Paper, Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA.
   Google Scholar
• Harris, F.H. and Pinder, J.P. (1995) A revenue management approach to demand management and order booking in assemble-to-order manufacturing. Journal of Operations Management, 13, 299–309.
   Google Scholar
• Hintsches, A., Spengler, T.S., Volling, T., Wittek, K. and Priegnitz, G. (2010) Revenue management in make-to-order manufacturing: case study of capacity control at ThyssenKrupp VDM. BuR-Business Research, 3, 173–190.
   Google Scholar
• Ilgin, M.A. and Gupta, S.M. (2008) Joint optimization of transportation and spare parts inventory policies in a reverse logistics network using OptQuest. In Proceedings of the ASME international mechanical engineering congress and exposition, October 31-November 6, Boston, Massachusetts, USA, pp. 877–885.
   Google Scholar
• Jensen, P.A. and Bard, J.F. (2003) Operations research models and methods. John Wiley & Sons, Hoboken, NJ.
   Google Scholar
• Kirkwood, C.W. (1993) An algebraic approach to formulating and solving large models for sequential decisions under uncertainty. Management Science, 39, 900–913.
   Web of Science ®Google Scholar
• Kleijnen, J.P.C. (1993) Simulation and optimization in production planning: A case study. Decision Support Systems, 9(3), 269–280.
   Google Scholar
• Kleijnen, J.P.C., Beers, W.V. and Nieuwenhuyse, I.V. (2010) Constrained optimization in expensive simulation: novel approach. European Journal of Operational Research, 202, 164–174.
   Web of Science ®Google Scholar
• Klein, R. (2007) Network capacity control using self-adjusting bid-prices. OR Spectrum, 29, 39–60.
   Web of Science ®Google Scholar
• Lee, G.C. (2014) Real-time order flow time estimation methods for two-stage hybrid flow shops. Omega, 42, 1–8.
   Web of Science ®Google Scholar
• Liu, S.C. and Liu, C.H. (2009) Simultaneous pricing, due-date setting and scheduling for make-to-order firms with contingent orders. Journal of the Chinese Institute of Industrial Engineers, 26, 32–43.
   Google Scholar
• Martínez, E. and Arredondo, F. (2010) Order acceptance for revenue management and capacity allocation in make-to-order batch plants. Computer Aided Chemical Engineering, 28, 1189–1194.
   Google Scholar
• Moodie, D.R. (1999) Due date demand management: negotiating the trade-off between price and delivery. International Journal of Production Research, 37, 997–1021.
   Web of Science ®Google Scholar
• Moodie, D.R. (2013) Testing overtime policies with different price and due date negotiation strategies. International Review of Management and Business Research, 2, 818–836.
   Google Scholar
• Moodie, D.R. and Bobrowski, P.M. (1999) Demand management: the evaluation of price and due date negotiation strategies using simulation. Production and Operations Management, 8, 151–162.
   Web of Science ®Google Scholar
• Olhagar, J. and Prajogo, D.I. (2012) The impact of manufacturing and supply chain improvement initiatives: a survey comparing make-to-order and make-to-stock firms. Omega, 40, 159–165.
   Web of Science ®Google Scholar
• Pratt, J.W. (1964) Risk aversion in the small and in the large. Econometrica, 32, 122–136.
   Web of Science ®Google Scholar
• Rogers, P. (2002) Optimum seeking simulation in the design and control of manufacturing systems: experience with OptQuest for Arena. In Proceedings of the winter simulation conference, Yucesan, E., Chen, C.H., Snowdon, J. L and Charnes, J. M. eds. December 8–11, Institute of Electrical and Electronics Engineers (IEEE), San Diego, California, USA, pp. 1142–1150.
   Google Scholar
• Ryzin, G.V. and Vulcano, G. (2008) Simulation-based optimization of virtual nesting controls for network revenue management. Operations Research, 56, 865–880.
   Web of Science ®Google Scholar
• Sen, A. (2013) A comparison of fixed and dynamic pricing policies in revenue management. Omega, 41, 586–597.
   Web of Science ®Google Scholar
• Shen, Z.J.M. and Su, X. (2007) Customer behavior modeling in revenue management and auctions: a review and new research opportunities. Production and Operations Management, 16(6), 713–728.
   Web of Science ®Google Scholar
• Spengler, T., Rehkopf, S. and Volling, T. (2007) Revenue management in make-to-order manufacturing—an application to the iron and steel industry. OR Spectrum, 29(1), 157–171.
   Web of Science ®Google Scholar
• Subulan, K., Baykasoğlu, A., Akyol, D.E. and Yildiz, G. (2017) Metaheuristic based simulation optimization approach to network revenue management with an improved self-adjusting bid-price function. The Engineering Economist, 62(1), 3–32.
   Web of Science ®Google Scholar
• Talluri, K. and Ryzin, G.V. (2004) Revenue management under a general discrete choice model of consumer behavior. Management Science, 50, 15–33.
   Web of Science ®Google Scholar
• Tsai, W.H. and Hung, S.J. (2009) Dynamic pricing and revenue management process in Internet retailing under uncertainty: an integrated real options approach. Omega, 37, 471–481.
   Web of Science ®Google Scholar
• Volling, T., Akyol, D.E., Wittek, K. and Spengler, T.S. (2012) A two-stage bid-price control for make-to-order revenue management. Computers and Operations Research, 39, 1021–1032.
   Web of Science ®Google Scholar
• Wang, J. (2011) Revenue management for make-to-order and make-to-stock systems. Ph.D. dissertation, University of Tennessee, Knoxville, Tennessee, USA.
   Google Scholar
• Watanapa, B. and Techanitisawad, A. (2005) Simultaneous price and due date settings for multiple customer classes. European Journal of Operational Research, 166(2), 351–368.
   Web of Science ®Google Scholar
• Webster, S. (2002) Dynamic pricing and lead‐time policies for make‐to‐order systems. Decision Sciences, 33(4), 579–600.
   Web of Science ®Google Scholar
• Wu, A., Chiang, D. and Chang, C.W. (2010) Using order admission control to maximize revenue under capacity utilization requirements in MTO B2B industries. Journal of the Operations Research Society of Japan, 53(4), 270–288.
   Google Scholar
• Zhao, L., Tian, P. and Li, X. (2012) Dynamic pricing in the presence of consumer inertia. Omega, 40, 137–148.
   Web of Science ®Google Scholar
• Zhou, H. and Zhou, S. (2009) Price and due date setting under service level constraints with contingent orders. In Proceedings of 16th International Conference on Industrial Engineering and Engineering Management, Institute of Electrical and Electronics Engineers (IEEE), October 21–23, Beijing, China, pp. 2111–2115.
   Google Scholar