Revenue management in make-to-order manufacturing-an application to the iron and steel industry
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Publication:858612
DOI10.1007/s00291-005-0024-1zbMath1144.90418OpenAlexW2147260289MaRDI QIDQ858612
Stefan Rehkopf, Thomas Volling, Thomas Stefan Spengler
Publication date: 11 January 2007
Published in: OR Spectrum (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00291-005-0024-1
Related Items (15)
Integrating revenue management and sales and operations planning in a Make-To-Stock environment: softwood lumber case study ⋮ Revenue management for operations with urgent orders ⋮ Network capacity control using self-adjusting bid-prices ⋮ A review of revenue management: recent generalizations and advances in industry applications ⋮ Reinforcement learning for joint pricing, lead-time and scheduling decisions in make-to-order systems ⋮ A survey on risk-averse and robust revenue management ⋮ Using flexible products to cope with demand uncertainty in revenue management ⋮ A clearing function based bid-price approach to integrated order acceptance and release decisions ⋮ A two-stage bid-price control for make-to-order revenue management ⋮ Dynamic control mechanisms for revenue management with flexible products ⋮ Order acceptance for motorail transportation with uncertain parameters ⋮ Dynamic capacity reservation and due date quoting in a make-to-order system ⋮ Revenue management approach to due date quoting and scheduling in an assemble-to-order production system ⋮ Value chain management for commodities: a case study from the chemical industry ⋮ Revenue management and demand fulfillment: Matching applications, models, and software
Cites Work
- Air cargo revenue management: Characteristics and complexities
- A class of generalized greedy algorithms for the multi-knapsack problem
- The Dynamic and Stochastic Knapsack Problem
- A Randomized Linear Programming Method for Computing Network Bid Prices
- Revenue Management: Research Overview and Prospects
- An Analysis of Bid-Price Controls for Network Revenue Management
- The Dynamic and Stochastic Knapsack Problem with Random Sized Items
- The Dynamic and Stochastic Knapsack Problem with Deadlines
- Cost Allocation and Opportunity Costs
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