Random Energy-Efficient Models for Sustainable Facility Location Subject to Carbon Emission, Economical, Capacitated and Regional Constraints

An uncertainty facility location allocation (FLA) problem is a complex nonlinear optimization problem. Currently, researchers have discussed the stochastic cost/profit issues of FLA. However, rising energy conservation awareness and environmental concerns, energy-efficientcy and low-carbon emission should be regarded as key criteria in solving it. To do so, this paper presents a new FLA problem from a sustainable development point of view. By taking a typical facility service enterprise as a case, a new stochastic energy-efficient FLA model subject to carbon emission, economical, capacitated, and regional constraints is formulated. Then, stochastic simulation and scatter search are integrated as an intelligent algorithm to resolve it. Some examples are demonstrated to prove the availability of the proposed model and solution algorithm.

[1]  Kenneth Sörensen,et al.  Production control in a failure-prone manufacturing network using discrete event simulation and automated response surface methodology , 2011 .

[2]  Jan Rupnik,et al.  Predicting Users’ Mobility Using Monte Carlo Simulations , 2017, IEEE Access.

[3]  Nasrin Asgari,et al.  Multiple criteria facility location problems: A survey , 2010 .

[4]  Reza Tavakkoli-Moghaddam,et al.  A tri-level r-interdiction median model for a facility location problem under imminent attack , 2017, Comput. Ind. Eng..

[5]  Reza Zanjirani Farahani,et al.  Facility location dynamics: An overview of classifications and applications , 2012, Comput. Ind. Eng..

[6]  Kung-Jeng Wang,et al.  Location and allocation decisions in a two-echelon supply chain with stochastic demand - A genetic-algorithm based solution , 2011, Expert Syst. Appl..

[7]  Zvi Drezner,et al.  Facility location - applications and theory , 2001 .

[8]  Feng You,et al.  Study on Self-Tuning Tyre Friction Control for Developing Main-Servo Loop Integrated Chassis Control System , 2017, IEEE Access.

[9]  Miriam A. M. Capretz,et al.  Machine Learning With Big Data: Challenges and Approaches , 2017, IEEE Access.

[10]  Zhiwu Li,et al.  Operation patterns analysis of automotive components remanufacturing industry development in China , 2017 .

[11]  Mark S. Daskin,et al.  Network and Discrete Location: Models, Algorithms and Applications , 1995 .

[12]  Richard L. Church,et al.  Applying simulated annealing to location-planning models , 1996, J. Heuristics.

[13]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[14]  Hyoshin Park,et al.  A Stochastic Emergency Response Location Model Considering Secondary Incidents on Freeways , 2016, IEEE Transactions on Intelligent Transportation Systems.

[15]  Saïd Salhi,et al.  Location-routing: Issues, models and methods , 2007, Eur. J. Oper. Res..

[16]  Hao Di,et al.  Modelling uncapacitated facility location problem with uncertain customers' positions , 2015, J. Intell. Fuzzy Syst..

[17]  Krishna K. Krishnan,et al.  A simulation-based approach for risk assessment of facility layout designs under stochastic product demands , 2010 .

[18]  Yisheng Lv,et al.  Social media based transportation research: the state of the work and the networking , 2017, IEEE/CAA Journal of Automatica Sinica.

[19]  Saman Hassanzadeh Amin,et al.  A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return , 2013 .

[20]  Michael M. Khonsari,et al.  Statistical Analysis of the Influence of Imperfect Texture Shape and Dimensional Uncertainty on Surface Texture Performance , 2017, IEEE Access.

[21]  Ping Hu,et al.  Transit network design based on travel time reliability , 2014 .

[22]  Liang Qi,et al.  Modified cuckoo search algorithm to solve economic power dispatch optimization problems , 2018, IEEE/CAA Journal of Automatica Sinica.

[23]  Nathalie Bostel,et al.  A facility location model for logistics systems including reverse flows: The case of remanufacturing activities , 2007, Comput. Oper. Res..

[24]  Masood A. Badri,et al.  Combining the analytic hierarchy process and goal programming for global facility location-allocation problem , 1999 .

[25]  T. Aykin.  On “a quadratic integer program for the location of interacting hub facilities” , 1990 .

[26]  Richard M. Soland,et al.  Exact and approximate solutions to the multisource weber problem , 1972, Math. Program..

[27]  Andreas T. Ernst,et al.  Solution algorithms for the capacitated single allocation hub location problem , 1999, Ann. Oper. Res..

[28]  Andreas Drexl,et al.  Facility location models for distribution system design , 2005, Eur. J. Oper. Res..

[29]  Baoding Liu.  Uncertainty Theory: An Introduction to its Axiomatic Foundations , 2004 .

[30]  WangKung-Jeng,et al.  Location and allocation decisions in a two-echelon supply chain with stochastic demand - A genetic-algorithm based solution , 2011 .

[31]  Guangdong Tian,et al.  Fuzzy cost-profit tradeoff model for locating a vehicle inspection station considering regional constraints , 2014, Journal of Zhejiang University SCIENCE C.

[32]  Jun Cheng,et al.  Mobile Cyber Physical Systems: Current Challenges and Future Networking Applications , 2018, IEEE Access.

[33]  Qiang Li,et al.  Random Fuzzy Cost-Profit Equilibrium Model for Locating a Discrete Service Enterprise , 2018, IEEE Access.

[34]  Haldun Süral,et al.  A review of hierarchical facility location models , 2007, Comput. Oper. Res..

[35]  S. L. Hakimi,et al.  Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph , 1964 .

[36]  Dinesh Kumar Sharma,et al.  Finding the shortest path in stochastic networks , 2007, Comput. Math. Appl..

[37]  Guangdong Tian,et al.  Green decoration materials selection under interior environment characteristics: A grey-correlation based hybrid MCDM method , 2018 .

[38]  MengChu Zhou,et al.  Disassembly Sequence Planning Considering Fuzzy Component Quality and Varying Operational Cost , 2018, IEEE Transactions on Automation Science and Engineering.

[39]  M. O'Kelly,et al.  A quadratic integer program for the location of interacting hub facilities , 1987 .

[40]  Basheer M. Khumawala,et al.  An empirical comparison of tabu search, simulated annealing, and genetic algorithms for facilities location problems , 1997 .

[41]  Wenchao Xu,et al.  Internet of vehicles in big data era , 2018, IEEE/CAA Journal of Automatica Sinica.

[42]  Charles S. ReVelle,et al.  The Location of Emergency Service Facilities , 1971, Oper. Res..

[43]  Christian Prins,et al.  A survey of recent research on location-routing problems , 2014, Eur. J. Oper. Res..

[44]  MengChu Zhou,et al.  Multiobjective Optimization Models for Locating Vehicle Inspection Stations Subject to Stochastic Demand, Varying Velocity and Regional Constraints , 2016, IEEE Transactions on Intelligent Transportation Systems.

[45]  Huiyuan Xiong,et al.  Energy Recovery Strategy Numerical Simulation for Dual Axle Drive Pure Electric Vehicle Based on Motor Loss Model and Big Data Calculation , 2018, Complex..

[46]  MengChu Zhou,et al.  Probability Evaluation Models of Product Disassembly Cost Subject to Random Removal Time and Different Removal Labor Cost , 2012, IEEE Transactions on Automation Science and Engineering.

[47]  Cem Saydam,et al.  A multiperiod set covering location model for dynamic redeployment of ambulances , 2008, Comput. Oper. Res..

[48]  Mark Goh,et al.  Covering problems in facility location: A review , 2012, Comput. Ind. Eng..

[49]  L. Cooper.  Location-Allocation Problems , 1963 .

[50]  Feng Xia,et al.  Vehicular Social Networks: A survey , 2018, Pervasive Mob. Comput..

[51]  Franziska Abend,et al.  Facility Location Concepts Models Algorithms And Case Studies , 2016 .

[52]  Justo Puerto,et al.  Location Theory - A Unified Approach , 2005 .

[53]  MengChu Zhou,et al.  Stochastic Cost-Profit Tradeoff Model for Locating an Automotive Service Enterprise , 2015, IEEE Transactions on Automation Science and Engineering.

[54]  O. Tang,et al.  Manufacturing facility location and sustainability: A literature review and research agenda , 2014 .

[55]  MengChu Zhou,et al.  AHP, Gray Correlation, and TOPSIS Combined Approach to Green Performance Evaluation of Design Alternatives , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[56]  M. Gen,et al.  Hybrid evolutionary method for obstacle location-allocation , 1995 .

[57]  MengChu Zhou,et al.  A Chance Constrained Programming Approach to Determine the Optimal Disassembly Sequence , 2013, IEEE Transactions on Automation Science and Engineering.

[58]  MengChu Zhou,et al.  Toward cloud computing QoS architecture: analysis of cloud systems and cloud services , 2017, IEEE/CAA Journal of Automatica Sinica.

[59]  Xinyu Xiao,et al.  Accelerating the Optimal Shape Design of Linear Machines by Transient Simulation Using Mesh Deformation and Mesh Connection Techniques , 2018, IEEE Transactions on Industrial Electronics.

[60]  MengChu Zhou,et al.  Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[61]  Fred W. Glover,et al.  A Template for Scatter Search and Path Relinking , 1997, Artificial Evolution.

[62]  Yi Yang,et al.  The capacitated facility location-allocation problem under uncertain environment , 2015, J. Intell. Fuzzy Syst..

[63]  Francisco Saldanha-da-Gama,et al.  Facility location and supply chain management - A review , 2009, Eur. J. Oper. Res..

[64]  Hokey Min,et al.  Dynamic expansion and location of an airport: A multiple objective approach , 1997 .

[65]  Xiaojuan Sun,et al.  Primary resonance analysis and vibration suppression for the harmonically excited nonlinear suspension system using a pair of symmetric viscoelastic buffers , 2018, Nonlinear Dynamics.