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Impact of flexible work contracts and multi-skilled agents on a multi-objective workforce planning problem

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2022年第5期60卷 1650-1665页

作者： Doan, M. P. Fondrevelle, J. Botta-Genoulaz, V Ribeiro, J. F. F. Univ Lyon INSA Lyon EA4570 DISP F-69621 Villeurbanne France Univ Sao Paulo USP FEARP RAD Ribeirao Preto Brazil

This article studies the impact of flexible work contracts and multi-skilled agents on a multi-objective workforce planning problem. Each agent has a work contract with a weekly and daily work capacity. The company has to create a planning for its agents to fulfil the customers' demands. When assigning agents to specific demands, three different objectives have to be attained, including minimising the travel costs between agents' home and their workplace, and maximising agents' satisfaction related to the workload balance between them, and to their preferences for certain working periods. In the context of the evolution of the demands over time, the company has to introduce different levers to increase the level of workforce flexibility. Flexible work contracts and multiple skills are the two levers that are focused on here. The mixed integer linear programming method is used to model and solve the problem. Numerical experiments with real data provided by a Brazilian company show the positive impact of these two levers on the feasibility of problem solving and on the quality of the solutions obtained. Different managerial recommendations based on these results are proposed to companies to help improve their strategy for workforce development.

关键词： Workforce assignment multi-objective optimisation mixed integer linear programming preference satisfaction workload balance cost minimisation

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Single Machine Scheduling Problem With a Weight-Modifying-Activity to Minimize the Total Weighted Completion Time

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IEEE ACCESS 2022年 10卷 45444-45456页

作者： Chen, Yarong Guan, Zailin Tsai, Ya-Chih Chou, Fuh-Der Huazhong Univ Sci & Technol Coll Mech Sci & Engn Wuhan 430074 Peoples R China Wenzhou Univ Coll Mech & Elect Engn Wenzhou 325035 Zhejiang Peoples R China Vanung Univ Dept Hotel Management Taoyuan 32061 Taiwan

The single-machine scheduling problem with a weight-modifying-activity (WMA) to minimize the total weighted completion time was initially addressed by Mosheiov and Oron in 2020, where the activity was an option, and once the activity was performed, the weights of the subsequent jobs become decreased. This problem has proven to be NP-hard. Following their study, we propose two mixed integer linear programming models (model_1 and model_2). Based on some optimality properties, a heuristic algorithm with swap and insert procedures is developed. The computation results indicate that model_2 can optimally solve problems of up to 40 jobs efficiently, while the average relative percentage of error and hit rate of the proposed heuristic is 0.0005% and 98.2%, respectively. The influence of parameters, such as the number of jobs, the adjusted coefficient for the job weight, and the time of the WMA, on the performance of the proposed methods, are also analyzed.

关键词： Heuristic algorithms Costs Computational modeling Single machine scheduling Schedules Production mixed integer linear programming Heuristic algorithm mixed integer linear programming model single-machine scheduling weight-modifying activity

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A Mathematical Model for an Optimal PV System with Battery and Hydrogen Energy Storage 1

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3rd International Conference on Digital Technologies and Applications

作者： El Bakali, Hanane Derrhi, Mostafa Rami, Mustapha Ait ENSA Tangier LTI Lab Tangier Morocco ENSI Tangier Res & Innovat Dept Tangier Morocco

ISBN: (数字)9783031298608

ISBN: (纸本)9783031298592;9783031298608

This paper aims to provide a systematic approach of studying a hybrid system composed of Photovoltaic panels (PV) and two energy storage methods (batteries and hydrogen storage). For this purpose, a mathematical model is proposed to minimize the installation cost for a residential lead located in Fes city (Morrocco) to analyze the sizing of this installation. This approach is based on mixed integer linear programming (MILP) using the model proposed. Furthermore, a comparative study is performed between Branch and Bound (BB) and Branch and Cut (BC) algorithms. The results show the efficiency of the proposed model.

关键词： Battery hybrid hydrogen sizing optimization mixed integer linear programming energy storage state of charge

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Segmentation of scanning-transmission electron microscopy images using the ordered median problem

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2022年第2期302卷 671-687页

作者： Calvino, Jose J. Lopez-Haro, Miguel Munoz-Ocana, Juan M. Puerto, Justo Rodriguez-Chia, Antonio M. Univ Cadiz Dept Estadist & Invest Operat Cadiz Spain Univ Seville IMUS Inst Matemat Seville Spain Univ Cadiz Dept Ciencia Mat & Ingn Met & Quim Inorgan Cadiz Spain

This paper presents new models for segmentation of 2D and 3D Scanning-Transmission Electron Microscope images based on the ordered median function. The main advantage of using this function is its good adaptability to the different types of images to be studied due to the wide range of weight vectors that can be cast. Classical segmentation models stand out for their ability to provide a segmentation of the original image very quickly and with low computational burden. However, they do not usually achieve high quality segmentations with a small number of clusters in order to classify the different elements which compose the structure represented in the image. The quality of the segmentation provided by our approach is analysed using different choices of the weight vector in some real instances. Moreover, improvements are proposed for the formulations to reduce the computational time needed to solve these problems by taking advantage of the weight vector structure. (C) 2022 The Author(s). Published by Elsevier B.V.

关键词： Location Ordered median function Segmentation Clustering mixed integer linear programming

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Optimization of Multi-microgrid System Operation Cost with Different Energy Management Tools in the Presence of Energy Storage System

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2022年第16-17期50卷 951-971页

作者： Shirdar, Hamed Babanezhaad Ghafouri, Alireza Islamic Azad Univ Dept Elect Engn Sari Branch Sari Iran

Given the increasing capacity of distributed generation and renewable resources, how to use this capacity and proper energy management will be a major challenge for low-capacity networks such as microgrids. With the help of peripherals tools, an arrangement can be made to achieve a more desirable result in the energy management system (EMS). Storage resources and at a higher level, the storage module is used as one of these tools in the subsystems of the EMS. In this article, in addition to taking advantage of the connection of several microgrids to each other and reducing interactions with the main network, by using the storage module and other related tools, the cost of providing energy to a cluster of microgrids is reduced to the lowest possible value. By implementing a mathematical model based on mixed-integer linear programming, the best program for generation resources obtains in such a way that the cost of energy supply reduces to the minimum value. The study results have been analyzed in two case studies;a modified laboratory microgrid and the IEEE 33-bus distribution network. Although different solvers in Gams will provide almost similar answers, the optimal answer was found by the Cplex solver.

关键词： optimization of operation cost energy storage system energy storage module microgrid system mixed integer linear programming energy management tools

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Space Exploration Architecture and Design Framework for Commercialization

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JOURNAL OF SPACECRAFT AND ROCKETS 2022年第2期59卷 538-551页

作者： Chen, Hao Ornik, Melkior Ho, Koki Georgia Inst Technol Daniel Guggenheim Sch Aerosp Engn Atlanta GA 30332 USA Univ Illinois Dept Aerosp Engn Urbana IL 61801 USA Univ Illinois Coordinated Sci Lab 104 S Wright St Urbana IL 61801 USA

The trend of space commercialization is changing the decision-making process for future space exploration architectures, and there is a growing need for a new decision-making framework that explicitly considers the interactions between the mission coordinator (i.e., government) and the commercial players. In response to this challenge, this paper develops a framework for space exploration and logistics decision making that considers the incentive mechanism to stimulate commercial participation in future space infrastructure development and deployment. By extending the state-of-the-art space logistics design formulations from the game-theoretic perspective, the relationship between the mission coordinator and commercial players is first analyzed, and then the formulation for the optimal architecture design and incentive mechanism in three different scenarios is derived. To demonstrate and evaluate the effectiveness of the proposed framework, a case study on lunar habitat infrastructure design and deployment is conducted. Results show how total mission demands and in-situ resource utilization system performances after deployment may impact the cooperation among stakeholders. As an outcome of this study, an incentive-based decision-making framework that can benefit both the mission coordinator and the commercial players from commercialization is derived, leading to a mutually beneficial space exploration between the government and the industry.

关键词： In Situ Resource Utilization Space Logistics Optimization Space Commercialisation Lunar Exploration Propellant Earth Space Transportation mixed integer linear programming Sensitivity Analysis Manufacturing Cost

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Economic optimization for a dual-feedstock lignocellulosic-based sustainable biofuel supply chain considering greenhouse gas emission and soil carbon stock

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BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR 2022年第3期16卷 653-670页

作者： Zhang, Bingquan Guo, Changqiang Lin, Tao Faaij, Andre P. C. Univ Groningen Energy & Sustainabil Res Inst Groningen Groningen Netherlands Yale Univ Ctr Ind Ecol 380 Edwards St New Haven CT 06511 USA Zhejiang Univ Coll Biosyst Engn & Food Sci Hangzhou Peoples R China Netherlands Org Appl Sci Res TNO Energy Transit Utrecht Netherlands

Environmental factors, including greenhouse gas (GHG) emissions and soil organic carbon (SOC), should be considered when building a sustainable biofuel supply chain. This work developed a three-step optimization approach integrating a geographical information system-based mixed-integer linear programming model to economically optimize the biofuel supply chain on the premise of meeting certain GHG emission criteria. The biomass supply grid cell was considered first, based on a maximum level of GHG emissions, prior to economic optimization. The optimization simultaneously considered dual-feedstock sourcing, selection between distributed and centralized configurations, and the impact of maintaining SOC balance in agricultural soil on biomass availability. The applicability of the modeling approach was demonstrated through a case study that optimized a dual-feedstock renewable jet fuel supply chain via a gasification-Fischer-Tropsch (gasification-FT) conversion pathway in 2050 under three biomass availability scenarios. The case study results show that the differences in procurement costs and GHG emissions between energy crops and agricultural residues have a large impact on the layout of the supply chain. The supply-chain configuration tends to be more centralized with large-scale biorefineries when a supply region has an intensive and centralized distribution of biomass resources. The cost-supply curves demonstrated the technical potential of biofuels that could be obtained at a certain level of cost. Additionally, sensitivity analysis shows that the GHG emission credit from producing extra electricity during the gasification-FT process will be significantly reduced with a rising share of renewable electricity generation in the future. (c) 2022 The Authors. Biofuels, Bioproducts and Biorefining published by Society of Industrial Chemistry and John Wiley & Sons Ltd.

关键词： biofuel supply chain optimization GHG emission lignocellulosic biomass mixed integer linear programming soil organic carbon sustainable

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An Effective Matheuristic for the Multivehicle Inventory Routing Problem

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TRANSPORTATION SCIENCE 2022年第4期56卷 1044-1057页

作者： Solyali, Oguz Sural, Haldun Middle East Tech Univ Business Adm Program Northern Cyprus Campus TR-99738 Kalkanli Turkey Middle East Tech Univ Dept Ind Engn TR-06800 Ankara Turkey

This study considers the multivehicle inventory routing problem in which a supplier has to build a distribution plan over a discrete time horizon to replenish a set of customers that faces a given demand. Transportation costs as well as inventory costs at the supplier and at the customers are to be minimized. A matheuristic algorithm is proposed that is based on sequentially solving different mixed integer linear programs. The algorithm merges the advantage of being easy to design and implement, as it is mainly based on the problem formulation, with the benefit of providing high-quality solutions. A computational study is performed on benchmark test instances by comparing the results with the ones obtained from previous algorithms proposed in the literature. The results show that the matheuristic algorithm outperforms the existing heuristic algorithms and finds a significant number of new best solutions in both small and large instances.

关键词： inventory routing mixed integer linear programming matheuristic

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Variable fixing heuristics for the capacitated multicommodity network flow problem with multiple transport lines, a heterogeneous fleet and time windows

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TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH 2022年第2期14卷 84-93页

作者： Guimaraes, Lucas Reboucas de Sousa, Jorge Pinho Prata, Bruno de Athayde Fed Inst Educ Sci & Technol Espirito Santo Dept Ind Chem Vilha Velha Brazil Univ Porto Fac Engn INESC TEC Porto Portugal Univ Fed Ceara Dept Ind Chem Vilha Velha Brazil

In this paper, we investigate a new variant of the multi-commodity network flow problem, taking into consideration multiple transport lines and time windows. This variant arises in a city logistics environment, more specifically in a long-haul passenger transport system that is also used to transport urban freight. We propose two mixed integer programming models for two objective functions: minimization of network operational costs and minimization of travel times. Since the problems under study are NP-hard, we propose three size reduction heuristics. In order to assess the performance of the proposed algorithms, we carried out computational experiments on a set of synthetic problem instances. We use the relative percentage deviation as performance criterion. For the cost objective function, a LP-and-Fix algorithm outperforms other methods in most tested instances, but for the travel time, a hybrid method (size reduction with LP-and-Fix algorithm) is, in general, better than other approaches.

关键词： Combinatorial optimization network design problems mixed integer linear programming city logistics size reduction algorithms

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Identification of Potential Off-Grid Municipalities With 100% Renewable Energy Supply for Future Design of Power Grids

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IEEE TRANSACTIONS ON POWER SYSTEMS 2022年第4期37卷 3321-3330页

作者： Weinand, Jann M. Ried, Sabrina Kleinebrahm, Max McKenna, Russell Fichtner, Wolf Karlsruhe Inst Technol KIT Chair Energy Econ Inst Ind Prod IIP D-76187 Karlsruhe Germany Tech Univ Denmark Lyngby Denmark Univ Aberdeen Sch Engn Aberdeen Scotland

An increasing number of municipalities are striving for energy autonomy. This study determines in which municipalities and at what additional cost energy autonomy is feasible for a case study of Germany. An existing municipal energy system optimization model is extended to include the industrial, commercial and personal transport sectors. Multiple regression methods are benchmarked in order to identify the model best suited for the transfer of individual optimization results to a large proportion of German municipalities. The resulting levelized cost of energy (LCOE) from the optimization of representative case study municipalities are transferred using energy-relevant indicators. The study demonstrates that energy autonomy is technically feasible in 6,314 (56%) municipalities. Thereby, the LCOEs increase in the autonomous case on average by 0.41 euro/kWh compared to the minimum cost scenario. Apart from energy demand, base-load-capable bioenergy and deep geothermal energy have the greatest influence on the LCOEs. Overall, it appears that municipal energy autonomy is not economically viable under current framework conditions. This study represents a starting point for defining possible scenarios in studies of future national energy system or transmission grid expansion planning, which for the first time consider completely energy autonomous municipalities.

关键词： Optimization Planning Sociology Statistics Power grids Energy consumption Economics Energy autonomy renewable energy geothermal power generation electric vehicles vehicle-to-grid mixed integer linear programming regression analysis

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