Booking Limit Based Revenue Management Approaches for Customer-Value Oriented Make-to-Order Production

In make-to-order (MTO) production, decisions are to be made about the jobs which are to be accepted and the sequence in which they are to be carried out. While in practice often rather simple rules like first-come-first-served (FCFS) are used, also strategies from the field of revenue management can be applied to achieve better results. In MTO not only the maximization of short-term profit should be focused on, but also the long-term perspective of performing good service in particular to valuable and returning customers is important. Therefore, in this work a booking-limit approach is combined with an order acceptance and scheduling model for a single machine environment to derive new strategies which take this aspect into account by defining different service levels to be strived at for the different customer segments. These strategies are tested on data settings with three customer segments. It turns out that a newly developed reversed nested booking limit approach (RNBL) leads to the best results regarding the conflicting aims of short-term profit maximization and customer satisfaction, whereas the classical partitioned booking limit (PBL) strategy is not recommendable.

[1]  Mark Stevenson,et al.  A review of production planning and control: the applicability of key concepts to the make-to-order industry , 2005 .

[2]  Jonathan P. Pinder,et al.  A revenue management approach to demand management and order booking in assemble-to-order manufacturing , 1995 .

[3]  Luis Onieva,et al.  Technology revenue management system for customer groups in hotels , 2010 .

[4]  Mehmet Barut,et al.  Revenue Management in Order-Driven Production Systems , 2005, Decis. Sci..

[5]  Nicolas Zufferey,et al.  Order acceptance and scheduling with earliness and tardiness penalties , 2016, J. Heuristics.

[6]  Thomas Spengler,et al.  Revenue Management in a Make-to-Order Environment , 2004, OR.

[7]  Eric Sucky,et al.  Revenue Management bei Auftragsfertigung – Ein Ansatz zur Kapazitätssteuerung , 2009 .

[8]  Stefan Rehkopf,et al.  Revenue Management Konzepte zur Entscheidungsunterstützung bei der Annahme von Kundenaufträgen , 2005 .

[9]  Thomas Volling,et al.  Revenue Management in Make-To-Order Manufacturing: Case Study of Capacity Control at ThyssenKrupp VDM , 2010 .

[10]  Nagraj Balakrishnan,et al.  Rationing Capacity Between Two Product Classes , 1996 .

[11]  Vibhu Kalyan,et al.  Dynamic Customer Value Management: Asset Values under Demand Uncertainty using Airline Yield Management and Related Techniques , 2002, Inf. Syst. Frontiers.

[12]  K. Talluri,et al.  The Theory and Practice of Revenue Management , 2004 .

[13]  Andreas Hilbert,et al.  Customer-value-based revenue management , 2011 .

[14]  Heinrich Kuhn,et al.  Revenue management for a make-to-order company with limited inventory capacity , 2007, OR Spectr..

[15]  Thomas Spengler,et al.  Revenue management in make-to-order manufacturing—an application to the iron and steel industry , 2007, OR Spectr..

[16]  Wen-Chyuan Chiang,et al.  An overview of research on revenue management: current issues and future research , 2007 .

[17]  Revenue management for a home construction products manufacturer , 2007 .

[18]  Kathrin Fischer,et al.  Einsatz des Revenue Managements in der Make-to-Order-Produktion , 2019, Logistik im Wandel der Zeit – Von der Produktionssteuerung zu vernetzten Supply Chains.

[19]  Stefan Rehkopf Revenue Management-Konzepte zur Auftragsannahme bei kundenindividueller Produktion : am Beispiel der Eisen und Stahl erzeugenden Industrie , 2006 .

[20]  B. Dan,et al.  Integrated order acceptance and scheduling decision making in product service supply chain with hard time windows constraints , 2017 .