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12th International Conference on Computational Logistics (ICCL)

作者： Damm, Ricardo de Brito Ronconi, Debora P. Univ Sao Paulo Polytech Sch Sao Paulo Brazil

ISBN: (纸本)9783030876722;9783030876715

Every day many service companies need to plan the tasks that will be carried out by its field staff. Maintenance service technicians have to perform a set of jobs at different locations in a city or state. This problem can be defined as the Service Technician Routing and Scheduling Problem in which tasks have different priorities and time windows, and technicians have different skills and working hours. Scheduling must account for technicians' lunch breaks, which must be respected. Each task is performed by only one technician. To ensure quality customer service and consumer rights are upheld, a novel approach is proposed: to address the problem in a multi-objective context aiming to execute the priority tasks and, simultaneously, to serve the customers at the beginning of their time windows. A Multi-objective Biased Random-Key Genetic Algorithm (BRKGA) was customized to tackle this NP-hard optimization problem and then compared with the Non-dominated Sorting Genetic Algorithm II (NSGA-II). The analyzed methods showed similar performance for small instances, but for medium- and large-sized instances the proposed method presented superior performance and more robust results.

关键词： multiple objective programming Routing and scheduling technicians Time windows Biased Random-Key Genetic Algorithm NSGA-II

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Robust optimization: Sensitivity to uncertainty in scalar and vector cases, with applications

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OPERATIONS RESEARCH PERSPECTIVES 2018年 5卷 113-119页

作者： Crespi, Giovanni R. Kuroiwa, Daishi Rocca, Matteo Univ Insubria Dept Econ Via Montegeneroso 71 I-21100 Varese Italy Shimane Univ Dept Math Matsue Shimane 6908504 Japan

The question we address is how robust solutions react to changes in the uncertainty set. We prove the location of robust solutions with respect to the magnitude of a possible decrease in uncertainty, namely when the uncertainty set shrinks, and convergence of the sequence of robust solutions. In decision making, uncertainty may arise from incomplete information about people's (stakeholders, voters, opinion leaders, etc.) perception about a specific issue. Whether the decision maker (DM) has to look for the approval of a board or pass an act, they might need to define the strategy that displeases the minority. In such a problem, the feasible region is likely to unchanged, while uncertainty affects the objective function. Hence the paper studies only this framework. (c) 2018 The Authors. Published by Elsevier Ltd.

关键词： Uncertainty modelling Decision analysis multiple objective programming Set optimization

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Quest for appropriate overcapacity in the fisheries industry

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Socio-Economic Planning Sciences 2010年第3期44卷 141-150页

作者： Kjærsgaard, Jens Institute of Food and Resource Economics 1958 Frederiksberg Rolighedsvej 25 Denmark

The effective management of natural resources is a critical issue that concerns many people with differing interests. This paper examines aspects of overcapacity and optimal capacity within fisheries by accounting for multiple objectives. Overcapacity arises when a fishing fleet is capable of producing more than what is demanded at the industry level, or allowed by a regulatory framework. The presence of multiple objectives within fisheries management is most often an unavoidable reality, where the objectives determine what level of overcapacity is considered optimal. A two-stage model is suggested that can produce information for management in terms of tradeoffs, policy frontiers, objective values and optimal fleet structure. In the first stage, an output-based Data Envelopment Analysis (DEA) model is applied. Efficiency is evaluated and production units transformed such that they use technologically efficient inputs and produce at their full potential. In the second stage, these transformed units are included in an aggregate industry model formulated as a multi-objective optimization program. The model provides information for managers in terms of tradeoffs, policy frontiers, objective values, and optimal fleet structure (by generating Pareto optimal solutions). The proposed model has then been applied to the Danish commercial fishing fleet. © 2009 Elsevier Ltd.

关键词： Data envelopment analysis Industry capacity multiple objective programming Tradeoffs

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A Metaheuristic Approach for Supply Chain Network Design Problems

A Metaheuristic Approach for Supply Chain Network Design Pro...

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International Conference of Modeling and Simulation in Engineering, Economics, and Management

作者： Venkatadri, Uday Bose, Soumen Azaron, Amir Reykjavik Univ Dept Financial Engn & Engn Management Reykjavik Iceland Dalhousie Univ Dept Ind Engn Halifax NS Canada Indian Inst Technol Dept Ind Engn & Management Kharagpur W Bengal India Univ Coll Dublin Michael Smurfit Grad Sch Business Dublin Ireland

ISBN: (纸本)9783642304330;9783642304323

We develop a multi-objective stochastic programming model for supply chain design under uncertainty using a metaheuristic approach. This is a comprehensive model, which includes both the strategic and tactical levels. The uncertainty regarding demands, supplies, processing and transportation costs is captured by generating discrete scenarios with given probabilities of occurrence. To solve the problem, we use multi-objective simulated annealing and compare the results against the goal attainment technique. Numerical results show that the proposed metaheuristic approach is a very practical solution technique.

关键词： Supply chain management Metaheuristics Stochastic programming multiple objective programming

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A multiobjective optimization approach to smart growth in land development

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Socio-Economic Planning Sciences 2006年第3期40卷 212-248页

作者： Gabriel, Steven A. Faria, José A. Moglen, Glenn E. Department of Civil and Environmental Engineering University of Maryland College Park MD 20742 United States Applied Mathematics and Scientific Computation Program University of Maryland College Park MD 20742 United States

In this paper we apply a multiobjective optimization model of Smart Growth to land development. The term Smart Growth is meant to describe development strategies-that do not promote urban sprawl. However, the term is somewhat open to interpretation. The multiobjective aspects arise when considering the conflicting interests of the various stakeholders involved in land development decisions: the government planner, the environmentalist, the conservationist, and the land developer. We present a formulation-employing linear and convex quadratic objective functions subject to polyhedral and binary constraints for the stakeholders. The resulting optimization problems are convex, quadratic mixed integer programs that are NP-complete. We report numerical results with this model for Montgomery County, Maryland, and present them using a geographic information system (GIS). © 2005 Elsevier Ltd. All rights reserved.

关键词： Geographic Information System Integer programming Land use planning Large Scale Optimization multiple objective programming Quadratic programming Smart Growth

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Reconfigurable and Resilient Closed-Loop Supply Chain Design: A Simulation–Optimization Approach

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Global Journal of Flexible Systems Management 2024年第1期26卷 85-113页

作者： Gholizadeh, Hadi Pasha, Amirabbas Hejazi, Taha-Hossein Jahani, Hamed Département de Génie Mécanique Université Laval Québec Canada Department of Industrial Engineering Mazandaran University of Science and Technology Babol Iran Department of Industrial Engineering College of Garmsar Amirkabir University of Technology Tehran Iran School of Accounting Information Systems and Supply Chain RMIT University Melbourne Australia

This study develops a dynamic, multi-product, multi-period, and multi-stage framework for a reconfigurable closed-loop supply chain in the dairy sector, with a strong emphasis on flexibility. The model effectively manages fluctuating demand by optimizing production, transportation, inventory, and queuing delays while considering warehouse queue lengths and constraints. A simulation-based optimization approach, integrated with response surface methodology, is employed to determine optimal resource capacities and batch sizes, enhancing the system's flexibility in terms of reconfigurability, resilience and responsiveness to market shifts. The results highlight a 13% improvement in new product development flexibility and a 30% increase in adaptability to consumer demand. Furthermore, the model demonstrates a reduction in unmet customer demand and orders by 37% and 25%, respectively, compared to the current system, underscoring its effectiveness in improving both supply chain performance and flexibility. © The Author(s) under exclusive licence to Global Institute of Flexible Systems Management 2024.

关键词： Closed-loop supply chain Flexibility Flexibility analysis multiple objective programming Reconfigurable and resilient Simulation–optimization

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Optimal placement of sensors and interception resource assessment for the protection of regional infrastructure from covert attack

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JOURNAL OF TRANSPORTATION SECURITY 2011年第2期4卷 145-169页

作者： Yates, Justin Batta, Rajan Karwan, Mark Texas A&M Univ 237D Zachry Engn Ctr3131 TAMU College Stn TX 77843 USA Univ Buffalo Buffalo NY USA

This paper considers two specific aspects for the problem of protection of regional infrastructure from covert attack. The first aspect considered is the optimal placement of sensors whose goal is to detect vehicles on the transportation network that pose a potential threat to regional infrastructure. These sensors generate both true alarms and false alarms that both need response from an interception team. The second aspect of our problem is related to the sizing of the interception team and on the placement of these resources on the network. A mathematical programming model is developed for the optimal placement of sensors. This model contains a master and a sub-problem;a Bender's decomposition approach is used for solving the master problem whereas the sub-problem is solved by recognizing that it has the integrality property. For the interception team aspect, a p-median with server unavailability model is developed for determining locations for units, whereas the Hypercube queuing model is used for determining the performance of these units in responding to both true and false alarms generated from sensors. A demonstrative case analysis is offered for the region of Lancaster-Palmdale, CA.

关键词： Integer programming multiple objective programming Transportation Critical infrastructure protection

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Modeling Multi-stage Assembly Systems with Finite Capacity as a Queueing Network

Modeling Multi-stage Assembly Systems with Finite Capacity a...

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IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

作者： Yaghoubi, Saeed Azaron, Amir Iran Univ Sci & Technol Dept Ind Engn Tehran Iran Istanbul Sehir Univ Dept Ind Engn Istanbul Turkey

ISBN: (纸本)9781479909865

This article models a multi-stage assembly system with finite capacity as an open queueing network using continuous-time Markov process. We also propose a multi-objective model with three conflicting objectives to optimally control the service rates, and apply the goal attainment method to solve a discrete-time approximation of the original multi-objective problem.

关键词： Assembly systems Markov processes multiple objective programming

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A Heuristic for Multi-objective Chinese Postman Problem

A Heuristic for Multi-Objective Chinese Postman Problem

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International Conference on Computers and Industrial Engineering (CIE39)

作者： Prakash, Satya Sharma, Mahesh K. Singh, Amarinder Amity Sch Engn & Technol New Delhi India Thapar Univ SMCA Patiala Punjab India Baba Banda Singh Bahadur Engn Coll Fatehgarh Sahib India

ISBN: (纸本)9781424441358

Transportation systems can be represented by graphs with travel weights accorded to each of the edges that represent the roads to be travelled. This paper gives brief introduction of the Euler's path and the description of Chinese postman problem. The said problem is then extended to multi-objective problem by considering multiple weights for each edge. Finally, this paper presents an algorithm to solve this multi-objective problem and implements the same on a biobjective Chinese postman problem.

关键词： multiple objective programming Euler circuit Chinese postman problem Heuristics

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Continuity of minimal points with applications to parametric multiple objective optimization

Continuity of minimal points with applications to parametric...

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International Workshop on Smooth and Nonsmooth Optimization

作者： Bednarczuk, EM Polish Acad Sci Syst Res Inst PL-01447 Warsaw Poland

Basing ourselves on general results we investigate stability of Pareto points to finite-dimensional parametric multiple objective optimization problems (linear and/or convex). (C) 2003 Published by Elsevier B.V.

关键词： multiple objective programming parametric programming stability analysis

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