Demand Management Based on Model Predictive Control Techniques

Table 2

Demand management for manufacturing and services: literature review.

Author	Sector application	Methodology	Contribution
Bertsimas and Shioda [13]	Services	Research article (case studies)	Application of revenue management in restaurants. Using stochastic optimization via dynamic programming. Computational experiments are presented for reservation and without reservation case studies
Boyd and Bilegan [14]	Services	Research article (case study in e-commerce)	Analysis of revenue management applied to e-commerce in the airline industry. Optimization techniques are shown in inventory control mechanism
Defregger and Kuhn [15]	Manufacturing	Research article (case studies)	Application of revenue management to a make-to-order manufacturing company with limited inventory capacity. Classifying the underlying Markov decision process, by introducing a heuristic procedure
Kimes [16]	Services	Survey	Revenue management analysis via the application of optimization, forecasting, and overbooking
Kumar and Frederik [17]	Services	Survey	Application of revenue management in construction industry. The benefits of revenue management can be realized at manufacturing companies. Uncertain demand and pricing of available capacity are analyzed via this approach
Lee et al. [18]	Transportation	Research article (case studies)	Analysis and application of heuristic to solve a single revenue management problem with postponement, arising from the sea cargo industry. Optimization based case studies are addressed
Nair and Bapna [19]	Services	Research article	This paper studies optimal policies for allocating modems capacity among segments of customers using a continuous time Markov decision
Spengler et al. [20]	Manufacturing	Research article (case studies)	Revenue management approach for companies in the iron and steel industry is developed. The aim is to improve short-term order selection
Shin and Park [21]	Manufacturing	Research article (theoretical)	Yield improvement is analyzed in semiconductor manufacturing via machine learning
Steinhardt and Gönsch [22]	Services	Research article (case studies)	This paper addresses the problem of integrating revenue management capacity control with upgrade decision making. A new structural property for an integrated dynamic programming formulation is present