We developed a high efficiency endocrine operative protocol based on a mathematical programming approach, process reengineering, and value-stream mapping to increase the number of operations completed per day without increasing operating room time at a tertiary-care, academic center.
Though similar results can be obtained through traditional mathematical programming models, the process graph platform has the advantage to visually present the distribution of scarce resources, commodities or capital within the system.
The approaches of analytic hierarchy process (AHP), analytic network process (ANP), mathematical programming, neural networks (NN), case-based reasoning (CBR) and fuzzy set theory (FST) are applied in the literature (Guneri et al. 2009).
This chapter presents a general mathematical programming formulation for the multifloor process plant layout problem, which considers a number of cost and management/engineering drivers within the same framework, thus resolving various tradeoffs at an optimal manner.
This paper introduces a methodology framework for optimal synthesis of a cascade refrigeration system (CRS) coupled with heat-exchanger network (HEN) design by systematically utilizing process simulation, mathematical programming, pinch analysis, and HEN design heuristics.
This chapter focuses on the mathematical programming decision frameworks for the optimal process and equipment design of the biopharmaceutical manufacturing processes, especially for the production of a monoclonal antibody (mAb).
This paper presents a general mathematical programming formulation for the multi-floor process plant layout problem, which considers a number of cost and management/engineering drivers within the same framework thus resolving various trade-offs at an optimal manner.
The process is accomplished using mathematical programming MATLAB software.
The methodology uses a mathematical programming model to map the industry manufacturing process onto potential production-distribution facility locations and capacity options.
The use of the mathematical programming approach to the synthesis of chemical processes and other systems has many advantages: feasibility, optimality, integrality and flexibility of solutions.
