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Equi-Reward Utility Maximizing Design in Stochastic Environments

Sarah Keren, Luis Pineda, Avigdor Gal, Erez Karpas, Shlomo Zilberstein
2017 Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence  
We present the Equi Reward Utility Maximizing Design (ER-UMD) problem for redesigning stochastic environments to maximize agent performance.  ...  ER-UMD fits well contemporary applications that require offline design of environments where robots and humans act and cooperate.  ...  Conclusions We presented the ER-UMD framework for maximizing agent utility by the off-line design of stochastic environments.  ... 
doi:10.24963/ijcai.2017/608 dblp:conf/ijcai/KerenPGKZ17 fatcat:xt3ng2nakje5jifor22rf6twt4

Ranking of Distribution System's Redesign Scenarios Using Stochastic MCDM/A Procedure

Hanna Sawicka, Jacek Zak
2014 Procedia - Social and Behavioral Sciences  
of redesign scenarios.  ...  classification algorithm, the construction of a final ranking of redesign scenarios with an application of a spreadsheet, the recommendation of the compromise solution based on stochastic final ranking  ...  of in-company transportation means [%] -maximized criterion (C3), inventory rotation level [days]minimized criterion (C4), utilization of human resources [%] -maximized criterion (C5), difference between  ... 
doi:10.1016/j.sbspro.2014.01.051 fatcat:mupoycktcraopc6vd5vvh52xpe

Solving a Real-World Urban Postal Service System Redesign Problem

Hao Yu, Xu Sun, Wei Deng Solvang, Gilbert Laporte, Tingsong Wang
2021 Scientific Programming  
This has led to a complex decision-making problem for the redesign of urban postal service networks across the country.  ...  In the second stage, a simulation model is built to evaluate the urban postal service system with different location and demand allocation plans under a realistic and stochastic environment.  ...  [34] formulated an improved biobjective MCLP for the network redesign of a large-scale emergency response system. e model aims at simultaneously maximizing the demand coverage and minimizing the efforts  ... 
doi:10.1155/2021/3058472 fatcat:zazrhaiib5bjvoeh2ly2jcoj6i

Recent Developments in Boolean Matrix Factorization

Pauli Miettinen, Stefan Neumann
2020 Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence  
Acknowledgements The research leading to these results is partially supported by Accenture LTD and by the Center for Research on Computation and Society at Harvard University.  ...  in order to maximize some utility measure.  ...  goal in a stochastic environment.  ... 
doi:10.24963/ijcai.2020/675 dblp:conf/ijcai/KerenGK20 fatcat:v2av6qtykrbn3oai3fyqi7aide

Multi-objective optimisation of facility location decisions within integrated forward/reverse logistics under uncertainty

Hamid Afshari, Masoud Sharafi, Tarek Y. ElMekkawy, Qingjin Peng
2016 International Journal of Business Performance and Supply Chain Modelling (IJBPSCM)  
Competitive result of the stochastic model compared to deterministic model ensures that the proposed approach is valid to be applied for decision making under uncertainty.  ...  The objective of the model is to minimize establishment, transportation and inventory management costs and simultaneously maximize customer satisfaction with sustainable perspective.  ...  The model is utilized in a real case study to redesign the current network.  ... 
doi:10.1504/ijbpscm.2016.078565 fatcat:tooyyyfdkngk3psgewazaetkeq

A Bi-Objective Sustainable Supply Chain Redesign: What Effect Does Energy Availability Have on Redesign?

Paweł Hanczar, Zahra Azadehranjbar
2022 Energies  
The implications of these ecological relationships for the supply chain redesign problem were considered in this study in order to minimize the negative outcomes while minimizing the process's related  ...  During supply chain redesign processes, many environmental initiatives at facilities and their surrounding regions are affected by the closing, opening, or even broadening of facilities.  ...  The electricity authority in the region might plan for this extra energy to be utilized by other buildings in the area.  ... 
doi:10.3390/en15103642 fatcat:6dkf7fyfmvhzzm4gvjhkspnpbe

Competitive location: a state-of-art review

Milad Gorji Ashtiani
2016 International Journal of Industrial Engineering Computations  
location models based on the following seven components: 1) Variables, 2) Competition type, 3) Solution space, 4) Customer behavior, 5) Demand type, 6) Number of new facilities and 7) Relocation and redesign  ...  For solving the problem, first the α-level sets for fuzzy numbers have been used for transforming it to a stochastic programming problem, and then, by using their expectations and variances, the problem  ...  Relocation and redesign possibility In most competitive facility location models, it is assumed that the chain and its competitors maximize their market share by opening new facilities and the location  ... 
doi:10.5267/j.ijiec.2015.8.002 fatcat:vxobc47bavfevmwmc2fqlqbvt4

Evaluation of Product and Process Design Robustness

David Kazmer, Christoph Roser
1999 Research in Engineering Design  
This article proposes a definition for integrated product and process robustness and extends existing stochastic methods to model the important role of the manufacturing flexibility in elimination of defects  ...  Stochastic simulations have been developed to estimate the end-use performance distribution prior to the commitment of hard tooling.  ...  While design synthesis utilizes deterministic data, the environment surrounding the manufacture and end-use of the design is largely uncontrolled and stochastic.  ... 
doi:10.1007/s001630050002 fatcat:d2kceawcwrdmfihew3r4q2kk3a

Facility Location Decisions within Integrated Forward/Reverse Logistics under Uncertainty

Hamid Ashfari, Masoud Sharifi, Tarek Y. ElMekkawy, Qingjin Peng
2014 Procedia CIRP  
Competitive result of the stochastic model compared to deterministic model ensures that the proposed approach is valid to be applied for decision making under uncertainty.  ...  The objective of the model is to minimize establishment, transportation and inventory management costs and simultaneously maximize customer satisfaction with sustainable perspective.  ...  The model is utilized in a real case study to redesign the current network.  ... 
doi:10.1016/j.procir.2014.01.092 fatcat:27mwowbdfjepve37qxm4are5sm

Trade-off between multiple criteria in smart home control system design

Aleksandar Janjic, Lazar Velimirovic, Miomir Stankovic, Vladimir Djordjevic
2018 Facta universitatis - series Electronics and Energetics  
Aggregated functions describing different smart home alternatives are compared using stochastic dominance principle.  ...  In this paper, a problem of smart home design has been solved using the methodology based on multiplicative form of multi-attribute utility theory.  ...  environment.  ... 
doi:10.2298/fuee1801141j fatcat:waq4lkc2fbes3pp6nxbm5a7u2e

Methods for Efficiency Improvement of Production and Logistic Processes

György Kovács
2018 Research Papers. Faculty of Materials Science and Technology. Slovak University of Technology in Trnava  
In the changing economic environment, global competition where the customer demands are changing continuously, the enterprises have to focus on cost reduction, efficiency improvement, higher productivity  ...  The author introduces the most often applied methods for it, which are the simulation, Lean method and layout design.  ...  Economical and profitable operation of enterprises can be achieved by utilizing the maximal production (or service) and logistics capacities, which includes the optimal utilization of human sources and  ... 
doi:10.2478/rput-2018-0006 fatcat:qqc22hhbrvco5iu5phirbnjmzi

Capacity Allocation and Flexibility in Primary Care [chapter]

Hari Balasubramanian, Ana Muriel, Asli Ozen, Liang Wang, Xiaoling Gao, Jan Hippchen
2013 International Series in Operations Research and Management Science  
Each primary care provider (PCP) has a panel of patients for whose long term holistic care the PCP is responsible.  ...  We discuss capacity allocation for primary care practices at three different planning levels: the strategic, the tactical and the operational.  ...  environment.  ... 
doi:10.1007/978-1-4614-5885-2_8 fatcat:huqelb6bpnbrlllszfw5arkydq

Data-Driven Optimization for Atlanta Police Zone Design [article]

Shixiang Zhu, He Wang, Yao Xie
2021 arXiv   pre-print
We present a data-driven optimization framework for redesigning police patrol zones in an urban environment.  ...  We develop a stochastic model for police emergency response by integrating multiple data sources, including police incidents reports, demographic surveys, and traffic data.  ...  Song Wei for his help to prepare the data and the post-implementation results. This research is supported in part by the Atlanta Police Foundation and NSF (CMMI-2015787).  ... 
arXiv:2104.00535v2 fatcat:sgxlp3lptbartb7h2xkau2agae

Online algorithms for joint application-VM-physical-machine auto-scaling in a cloud

Yang Guo, Alexander L. Stolyar, Anwar Walid
2014 The 2014 ACM international conference on Measurement and modeling of computer systems - SIGMETRICS '14  
We consider a shadow routing based approach for this joint assignment problem.  ...  We consider the joint application-VM-Physical-Machine assignment problem in a cloud environment, where application requests are serviced by Virtual Machines (VMs) residing on Physical Machines (PMs).  ...  rates change Fig. 7 7 depicts the PM utilization after running PM-redesignation algorithm.  ... 
doi:10.1145/2591971.2592035 dblp:conf/sigmetrics/GuoSW14 fatcat:2vrzlquqlva2xijqh63gq2x2em

Online algorithms for joint application-VM-physical-machine auto-scaling in a cloud

Yang Guo, Alexander L. Stolyar, Anwar Walid
2014 Performance Evaluation Review  
We consider a shadow routing based approach for this joint assignment problem.  ...  We consider the joint application-VM-Physical-Machine assignment problem in a cloud environment, where application requests are serviced by Virtual Machines (VMs) residing on Physical Machines (PMs).  ...  rates change Fig. 7 7 depicts the PM utilization after running PM-redesignation algorithm.  ... 
doi:10.1145/2637364.2592035 fatcat:ugrgcxixb5a65buut4gyo7sx2i
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