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An approach toward profit-driven optimization

Min Zhao, Bruce R. Childers, Mary Lou Soffa
2006 ACM Transactions on Architecture and Code Optimization (TACO)  
We compared the profit-driven approach with an approach that uses a heuristic in deciding when optimizations should be applied.  ...  The profitability of an optimization depends on code context, the particular optimization, and machine resources. Thus, our framework has analytic models for each of these components.  ...  We compared the profit-driven approach with an approach that uses a heuristic in deciding when optimizations should be applied.  ... 
doi:10.1145/1162690.1162691 fatcat:ghtqlxl45vcirgcibbvbho2lo4

Towards Sustainability-Driven Innovation through Product-Service Systems [chapter]

Anthony W. Thompson, Tobias C. Larsson, Göran Broman
2011 Functional Thinking for Value Creation  
Product-service systems (PSS) in particular can be a vehicle through which sustainability-driven innovation occurs.  ...  approaches could be aligned within product innovation.  ...  This naturally tends towards an incremental approach to improving the sustainability performance of products.  ... 
doi:10.1007/978-3-642-19689-8_22 fatcat:qcei2fbaifevpgktdvpawk4pau

A hierarchical Food-Energy-Water Nexus (FEW-N) decision-making approach for Land Use Optimization [chapter]

Styliani Avraamidou, Burcu Beykal, Ioannis P.E. Pistikopoulos, Efstratios N. Pistikopoulos
2018 Computer-aided chemical engineering  
Results show that our data-driven approach allows us to provide feasible solutions to complex bilevel problems, which are essentially very difficult to solve deterministically.  ...  The land use allocation problem is an important issue for a sustainable development.  ...  Conclusions It is evident that the developed model and approach constitutes a greatly effective means of optimizing land use through a Food-Energy-Water Nexus approach.  ... 
doi:10.1016/b978-0-444-64241-7.50309-8 pmid:30397687 pmcid:PMC6214625 fatcat:3d3bdl3tovbzzan2ldbvnm3uye

Theory vs. Data-Driven Learning in Future E-Commerce

Maurits Kaptein, Petri Parvinen, Essi Poyry
2013 2013 46th Hawaii International Conference on System Sciences  
We explore different types of computerbased learning methods and present two evaluations of primarily data-driven learning applications that advance e-commerce in the direction of interactive eselling  ...  persuasion are called for in e-commerce and as computational power increases, a question emerges: should companies use theories to develop and run their e-commerce operations or does mere data based optimization  ...  After the structure is imposed, a data-driven approach is used to converge to the profit maximizing sales price.  ... 
doi:10.1109/hicss.2013.549 dblp:conf/hicss/KapteinPP13 fatcat:klbf3plyfvftxc5rtbcrgxvqq4

Combining Worst-Case Timing Models, Loop Unrolling, and Static Loop Analysis for WCET Minimization

Paul Lokuciejewski, Peter Marwedel
2009 2009 21st Euromicro Conference on Real-Time Systems  
Our novel optimization is driven by worst-case execution time (WCET) information to effectively minimize the program's worst-case behavior.  ...  In this paper, we present loop unrolling that is tailored towards real-time systems.  ...  In addition, other optimizations following unrolling might profit from the unrolled code, thus standard literature proposes to execute unrolling not too late in an optimization sequence [22] .  ... 
doi:10.1109/ecrts.2009.9 dblp:conf/ecrts/LokuciejewskiM09 fatcat:ed5c7ckgg5bnzebs3ke5fyvtsm

Special Issue on Profit-Driven Analytics

Bart Baesens, Wouter Verbeke, Cristián Bravo
2018 Big Data  
By merging the conventional likelihood of fraud with the profitability driven Loss Ratio, they succeeding at identifying segments that are demonstrably worstaffected by fraud.  ...  The objective of this special issue was to publish high-quality papers that address the added value of an analytical model from a profit perspective.  ...  These studies may further pinpoint interesting differences between statistical and profit optimization.  ... 
doi:10.1089/big.2018.29025.bba pmid:29570413 fatcat:r7qsy5nxfreelfeue45ys2inpi

Value Driven Design Revisited: Emerging Modelling Concepts and Applications

Marco Bertoni, Alessandro Bertoni, Eres Murat Hakki
2019 Proceedings of the International Conference on Engineering Design  
The idea of optimising a system towards the best 'value' is both "intuitive and sensible", and processes such as Value Driven Design (VDD), have been proposed to supplement traditional engineering design  ...  Yet, value-driven initiatives struggle to communicate their benefits and to demonstrate how value models can solve actual problems.  ...  The research leading to these results has received financial support by the Swedish Knowledge and Competence Development Foundation (Stiftelsen för kunskaps-och kompetensutveckling) through the Model Driven  ... 
doi:10.1017/dsi.2019.247 fatcat:gqf2mr63vzd6jb2b2itjy3smtm

Alternate approaches to the political economy of endogenous trade liberalization

Robert Edward Baldwin, Richard Edward Baldwin
1996 European Economic Review  
This paper reviews two types of approaches to answering this question: Approaches that view liberalization driven by strenghtened anti-protection forces, and approaches that view liberalization driven  ...  by an erosion of pro-protection forces.  ...  Entry occurs until pure profits are driven down to zero including the lobbying contribution.  ... 
doi:10.1016/0014-2921(95)00089-5 fatcat:a32lsz7o2zhn3edkv7llqhic74

Market Mechanisms for Local Electricity Markets: A review of models, solution concepts and algorithmic techniques

Georgios Tsaousoglou, Juan S. Giraldo, Nikolaos G. Paterakis
2022 Renewable & Sustainable Energy Reviews  
. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.  ...  Data-driven approaches usually use a learning algorithm to learn to optimize dispatch decisions directly.  ...  A hybrid case between Lagrangian and data-driven approaches includes [32, 43] , and [86] .  ... 
doi:10.1016/j.rser.2021.111890 fatcat:zlxfciaf6bahbn3sp7u7tj7j2q

Discrete Event Simulation Software for Agent-Based Supply Chain Demand

Haider Al-Fedhly, Duncan Folley
2020 International Journal of Industry and Sustainable Development  
Firstly, demand have been defined based on the literature to develop an appropriate concept. Complex elements of external and internal variables affect the SC performance especially at service level.  ...  An experiment has been carried out to examine the effect of different distribution patterns. Four pattern have been tested for both supply and demand: uniform, normal, triangular, and exponential.  ...  They approach the problem using a simulation-optimization based on an invented method called 'hedging strategy' by capturing the randomness of the uncertain parameters.  ... 
doi:10.21608/ijisd.2020.101606 fatcat:vm7p5c5gqjcxlkkyujm2p5p3hq

The Role of Analytics in Data-Driven Business Models of Multi-Sided Platforms: An exploration in the food industry

Diane Isabelle, Mika Westerlund, Mohnish Mane, Seppo Leminen
2020 Technology Innovation Management Review  
The analytics, use, and monetization of data are increasingly crucial for the profitability and The Role of Analytics in Data-Driven Business Models of Multi-Sided Platforms: An exploration in the food  ...  However, many aspiring MSPs lack effective strategies for using data to establish a profitable data-driven business model (DDBM).  ... 
doi:10.22215/timreview/1371 fatcat:46ouqz6rb5hqznrkhnevqar4cq

Analyzing the impact of maintenance on profitability using dynamic bayesian networks

Kai Schenkelberg, Ulrich Seidenberg, Fazel Ansari
2020 Procedia CIRP  
In today's business environment, the trend towards more product variety and customization is unbroken.  ...  Cost-effective deployment of Cyber Physical Production Systems raises the question whether data-driven and knowledge-based maintenance affects profitability of smart factories.  ...  The proposed model contributes to the existing body of literature in KBM and data-driven maintenance, including predictive and prescriptive approaches, especially focusing on exploring the impact of maintenance  ... 
doi:10.1016/j.procir.2020.05.008 fatcat:ddkt75e6rva4de4jc7kcckixzu

On the impact of advertising initiatives in supply chains

Wenqing Zhang, Shanling Li, Dan Zhang, Wenhua Hou
2014 European Journal of Operational Research  
An example is the advertising initiative adopted by several major food manufacturers to limit the advertising of unhealthy food categories to children.  ...  Advertising plays an important role in affecting consumer demand. Socially responsible firms are expected to use advertising judiciously, limiting advertising of "bad" products.  ...  Then the retailer follows up with an optimal advertising level as well in order to maximize her own profit.  ... 
doi:10.1016/j.ejor.2013.10.069 fatcat:l74rynsnfbg3tgu7luprxm3ury

A Micro Simulated and Demand Driven Supply Chain Model To Calculate Regional Production and Consumption Matrices

Omar Abed, Tom Bellemans, Gerrit Janssens, Bharat Patil, Ansar Yasar, Davy Janssens, Geert Wets
2013 Procedia Computer Science  
The model is based on an optimized universal cost function and different initial conditions can be used to mimic real life firm to firm interactions.  ...  Modeling demand and production relations shall constitute a starting point towards an agent based freight model under development.  ...  is a first step towards an agent based freight model under development.  ... 
doi:10.1016/j.procs.2013.06.055 fatcat:34mtfoii3fe2femmyoiot5okae

Towards Dynamic Data-Driven Optimization of Oil Well Placement [chapter]

Manish Parashar, Vincent Matossian, Wolfgang Bangerth, Hector Klie, Benjamin Rutt, Tahsin Kurc, Umit Catalyurek, Joel Saltz, Mary F. Wheeler
2005 Lecture Notes in Computer Science  
The overall goal of this research is to use the emerging Grid infrastructure to realize an autonomic dynamic data-driven self-optimizing reservoir framework.  ...  In this paper, we present the use of distributed data to dynamically drive the optimization of well placement in an oil reservoir.  ...  Integrated System for Data-Driven Oil Production Optimization The oil production optimization process involves (1) the use of an integrated multiblock reservoir model and several numerical optimization  ... 
doi:10.1007/11428848_85 fatcat:iukav7fyujgvvay2m4vhzsr7am
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