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Articles 1 - 7 of 7
Full-Text Articles in Industrial Engineering
A Multi-Objective Stochastic Programming Model For Resilient And Sustainable Supply Chains Under Uncertainty, Mohammad H. Majdfaghihi
A Multi-Objective Stochastic Programming Model For Resilient And Sustainable Supply Chains Under Uncertainty, Mohammad H. Majdfaghihi
Dissertations
Supply chain resilience (SCRES) and sustainable supply chain management (SSCM) have garnered significant attention in the field of Supply Chain Management (SCM) science. This heightened interest is largely attributable to the increasing frequency and severity of uncertainty and disruptions in global supply chains. Resilience is a beneficial approach to managing uncertainties and preparing for and mitigating the adverse consequences of Supply Chain (SC) disruptions. Sustainability is a key concept in SCM, driven by governmental regulations and heightened stakeholder and customer concerns for environmental and societal well-being. Studies on SCRES have traditionally focused on preparing for and reacting to disruptions and …
Multi-Stage Stochastic Optimization And Reinforcement Learning For Forestry Epidemic And Covid-19 Control Planning, Sabah Bushaj
Multi-Stage Stochastic Optimization And Reinforcement Learning For Forestry Epidemic And Covid-19 Control Planning, Sabah Bushaj
Dissertations
This dissertation focuses on developing new modeling and solution approaches based on multi-stage stochastic programming and reinforcement learning for tackling biological invasions in forests and human populations. Emerald Ash Borer (EAB) is the nemesis of ash trees. This research introduces a multi-stage stochastic mixed-integer programming model to assist forest agencies in managing emerald ash borer insects throughout the U.S. and maximize the public benets of preserving healthy ash trees. This work is then extended to present the first risk-averse multi-stage stochastic mixed-integer program in the invasive species management literature to account for extreme events. Significant computational achievements are obtained using …
Two Multi-Objective Stochastic Models For Project Team Formation Under Uncertainty In Time Requirements, Fahimeh Rahmanniyay
Two Multi-Objective Stochastic Models For Project Team Formation Under Uncertainty In Time Requirements, Fahimeh Rahmanniyay
Masters Theses
Team formation is one of the key stages in project management. The cost associated with the individuals who form a team and the quality of the tasks completed by the team are two of the main concerns in team formation problems. In this study, two mathematical models to optimize simultaneously cost and quality in a team formation problem are developed. Because team formation problem arises in uncertain environment, different scenarios are defined for the time requirement of the project. Two-stage stochastic programming and multi-stage stochastic programming are applied to solve the first and the second model respectively. The presented models …
A Stochastic Model For Self-Scheduling Problem, Lili Zhang
A Stochastic Model For Self-Scheduling Problem, Lili Zhang
Masters Theses
The unit commitment (UC) problem is a typical application of optimization techniques in the power generation and operation. Given a planning horizon, the UC problem is to find an optimal schedule of generating units, including on/off status and production level of each generating unit at each time period, in order to minimize operational costs, subject to a series of technical constraints. Because technical constraints depend on the characteristics of energy systems, the formulations of the UC problem vary with energy systems. The self-scheduling problem is a variant of the UC problem for the power generating companies to maximize their profits …
A Multi-Objective Facility Location Model For Closed-Loop Supply Chain Network Under Uncertain Demand And Return, Saman Hassanzadeh Amin, Guoqing Zhang
A Multi-Objective Facility Location Model For Closed-Loop Supply Chain Network Under Uncertain Demand And Return, Saman Hassanzadeh Amin, Guoqing Zhang
Mechanical, Automotive & Materials Engineering Publications
A closed-loop supply chain (CLSC) network consists of both forward and reverse supply chains. In this paper, a CLSC network is investigated which includes multiple plants, collection centres, demand markets, and products. To this aim, a mixed-integer linear programming model is proposed that minimizes the total cost. Besides, two test problems are examined. The model is extended to consider environmental factors by weighed sums and ε-constraint methods. In addition, we investigate the impact of demand and return uncertainties on the network configuration by stochastic programming (scenario-based). Computational results show that the model can handle demand and return uncertainties, simultaneously.
Locating And Protecting Facilities Subject To Random Disruptions And Attacks, Hugh Medal
Locating And Protecting Facilities Subject To Random Disruptions And Attacks, Hugh Medal
Graduate Theses and Dissertations
Recent events such as the 2011 Tohoku earthquake and tsunami in Japan have revealed the vulnerability of networks such as supply chains to disruptive events. In particular, it has become apparent that the failure of a few elements of an infrastructure system can cause a system-wide disruption. Thus, it is important to learn more about which elements of infrastructure systems are most critical and how to protect an infrastructure system from the effects of a disruption. This dissertation seeks to enhance the understanding of how to design and protect networked infrastructure systems from disruptions by developing new mathematical models and …
Optimization Models For The Single Machine Scheduling Problem With A Single Flexible Maintenance Activity And Stochastic Maintenance Activities Time, Kamran Shahanaghi, Azizolah Jafari, Mehdi Jafarian, Hamid Babaei, Hojat Mehrazmay, Majid Beikverdi, Ahmad Yazdian
Optimization Models For The Single Machine Scheduling Problem With A Single Flexible Maintenance Activity And Stochastic Maintenance Activities Time, Kamran Shahanaghi, Azizolah Jafari, Mehdi Jafarian, Hamid Babaei, Hojat Mehrazmay, Majid Beikverdi, Ahmad Yazdian
Mehdi Jafarian
In this paper, modeling and solving of a single machine scheduling problem with a single flexible maintenance activity and stochastic maintenance activities time was considered. Also it assumes that the all activities are resumable. Chen solved and investigate complexity of this problem without probabilistic condition by Mixed binary integer programming (BIP) so we solving this problem with considering stochastic programming concepts. An example has investigated at the end chapter to show actual consequences by Lingo.