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Multi-period vehicle routing & Replenishment problem of neighbourhood disaster stations for pre-disaster humanitarian relief logistics

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IFAC-PapersOnLine 2019年第13期52卷 2614-2619页

作者： Gökçe, Mahmut Ali Ercan, Elif Industrial Engineering Department Yaar University Izmir Turkey Industrial Engineering Department Dokuz Eylül University Izmir Turkey

Natural disasters are uncontrollable situations that affect human life directly. Despite the researches and technological progress, it is still not possible to predict when or where the natural disaster will occur beforehand. Natural disasters cause severe loss of lives and damages. In addition, they cause physical, financial, social and environmental losses. Pre-disaster, during disaster and post-disaster activities are significant in order to decrease the losses caused by natural disasters. This study is about one of the pre-disaster activities. In the pre-disaster management process, a new activity is being tried in Turkey. Called "Neighborhood Disaster Stations", containers filled with emergency relief items such as medicines, painkillers, antiseptics and canned goods are located at the different predetermined locations. It is important to keep items in these stations usable at all times. Since these commodities have expiration dates, they need to be replenished periodically in order to remain useable at any time. The proper time for the replenishment should be determined by considering the probability of reselling or re-using the commodities with the maximum return as much as possible. However, replenishing frequently will result in large operational costs. Therefore, there is a trade-off between routing costs and replenishment. We propose a novel mixed integer-programming model in order to solve this problem. The proposed model determines the replenishment policy for each commodity in the containers and generates the route of each vehicle within a given planning horizon. The objective of this study is to maximize the total profit, which is the difference between expected revenue from reselling and the transportation cost for total routing costs for time periods in the planning horizon. The model determines the replenishment date of each commodity in each disaster container and provides optimal route for each vehicle within planning horizon. The proposed mixed

关键词： Emergency services Containers Disaster prevention Economic and social effects integer programming Optimization Replenishment (water resources) Vehicle routing Vehicles Humanitarian relief mixed integer programming mixed integer programming model Multi period Relief distribution Replenishment policy Social and environmental Technological progress

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Optimizing Resource Utilization in Biomass Supply Chains by Creating Integrated Biomass Logistics Centers

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ENERGIES 2020年第22期13卷 6153-6153页

作者： Guo, Xuezhen Voogt, Julien Annevelink, Bert Snels, Joost Kanellopoulos, Argyris Wageningen Food & Biobased Res Bornse Weilanden 9 NL-6708 WG Wageningen Netherlands Wageningen Univ Operat Res & Logist Hollandseweg 1 NL-6706 KN Wageningen Netherlands

Bio-based supply chains are by nature complex to optimize. The new logistic concept of integrated biomass logistical center (IBLC) provides us the opportunity to make full use of the idle capacity for a food/feed plant to produce biobased products so that the entire chain efficiency can be improved. Although research has been conducted to analyze the IBLC concept, is yet to be an optimization model that can optimally arrange the activities in the supply chain where an IBLC stands in the middle. To fill the knowledge gap in the literature, this paper makes the first step to develop a MILP model that enables biobased supply chain optimization with the IBLC concept, which supports logistic and processing decisions in the chain. The model is applied in a case study for a feed and fodder plant in Spain where managerial insights have been derived for transferring the plant to a profitable IBLC.

关键词： bio-based supply chains integrated biomass logistical center mixed integer programming model

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models for the single product disassembly lot sizing problem with disposal

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IFAC-PapersOnLine 2019年第13期52卷 547-552页

作者： Pour Massahian Tafti, M. Godichaud, M. Amodeo, L. ICD-LOSI University of Technology of Troyes France

This paper considers a single product disassembly lot sizing problem with disposal decision (DLSPD) in order to reduce the costs as well as environmental impacts related to returned products. This is the problem of determining the quantity and time of the returned products to be disassembled while satisfying the demand of their parts or components over a planning horizon. Due to the existence of yield (in a disassembly system) and demand, which are not well balanced during planning horizon, surplus inventory of leaf items will be conducted. The integer programming (IP) can be used to arrive at optimal solution, with the disadvantage that the computational time explodes with increasingly complex product structure and larger size of problem. In this case, LP relaxation approach can be useful. Two integer programming models (aggregate formulation (AGG) and disaggregate formulation (FAL)) with considering disposal decision are developed to cope with the unnecessary surplus inventory. This paper focus on the problem with no capacity restriction on disassembly resource, and single product type with two-level product structure. The computation experiments are conducted to evaluate the performance of proposed models using CPLEX solver for different generated instance sizes. For large-sized problem, LP relaxation approach is suggested and compared with integer/optimal solution to show its effectiveness. The LP relaxation gives a strong lower bound (LB) for the proposed mixed-integer programming models. © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： integer programming Environmental impact Waste disposal Capacity restriction Disassembly systems integer programming models Inventory Lot sizing mixed integer programming (MIP) mixed integer programming model Reverse logistics

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Mathematical models for a flexible job shop scheduling problem with machine operator constraints

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IFAC-PapersOnLine 2019年第13期52卷 94-99页

作者： Kress, Dominik Müller, David University of Siegen Management Information Science Kohlbettstraße 15 Siegen57068 Germany

We consider a flexible job shop scheduling problem that incorporates machine operators and aims at makespan minimization. In a detailed overview of the related literature, we reveal the fact that the research in this field is mainly concerned with (meta-)heuristic approaches. Only few papers consider exact approaches. In order to promote the use of exact approaches and in order to facilitate the evaluation of the performance of heuristic approaches, we present two mathematical models, a mixed-integer programming model and a constraint programming model, that are analyzed and compared with a state-of-the-art heuristic in computational tests with a standard solver. © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Job shop scheduling Constraint theory Heuristic methods Heuristic programming integer programming Machine shops Mathematical operators Scheduling Constraint programming Constraint programming model Flexible job shops Flexible job shop scheduling problem Makespan minimization mixed integer programming mixed integer programming model Workforce constraints

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Integrated Optimization model for Split-platform AS/RS and ASC in an Automated Container Terminal

International Core Journal of Engineering

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International Core Journal of Engineering 2020年第4期6卷 198-210页

作者： Qingyao Meng Jin Zhu

In this paper, a mixed integer programming model is established for the loading and unloading process of split-platform storage/retrieval system (SP-AS/RS), automatic straddle carrier (ASC) and quay crane (QC) in the automated terminal. In this model, the SP-AS/RS system operates in dual-command (DC) mode, where a storage operation is followed by a retrieval operation or a retrieval operation is followed by a storage operation. The model is solved by the improved genetic algorithm (IGA), in order to verify the effectiveness of IGA, the solution quality and solution speed of search algorithm, IGA and simulated annealing algorithm (SAA) are compared. By solving the single command (SC) mode and dual-command (DC) mode in small, medium and large scale, the influence of two working modes on loading and unloading efficiency is analyzed. The effects of ASC+SP-AS/RS and AGV+SP-AS/RS on the overall loading and unloading efficiency of the terminal are compared and solved by IGA.

关键词： Automated terminal Integrated scheduling mixed integer programming model Dual-command mode Automatic straddle carrier

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Integrated Scheduling model for Cranes, ASC and SP-AS/RS in Automated Terminal 38

Integrated Scheduling Model for Cranes, ASC and SP-AS/RS in ...

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38th Chinese Control Conference (CCC)

作者： Meng, Qingyao Zhu, Jin Xu, Hang Shanghai Maritime Univ Key Lab Transportat Technol & Control Engn Transp Shanghai 201306 Peoples R China

ISBN: (纸本)9789881563972

This paper establishes a mixed integer programming model for the integrated scheduling problem of quay crane(QC), automatic straddle carrier (ASC) and split-platform storage/retrieval system(SP-AS/RS),the objective function of the model is the sum of the minimum working time of ASC, SP-AS/RS and the minimum delay time of QC. The model is solved by an improved genetic algorithm(IGA),which objective function solution is compared with the corresponding model using AGV, the comparison results are analyzed in different scales. The quality of the solution of IGA and SAA was compared by simulation experiments. which verified the effectiveness of IGA in different scales.

关键词： Automatic Container Terminal mixed integer programming model SP-AS/RS Integrated Scheduling Problem

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Study on the Charging Station Layout of Electric Car Sharing Mode

Study on the Charging Station Layout of Electric Car Sharing...

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2020中国汽车工程学会年会暨展览会

作者： Wang Ning Li Junlin Liu Xiang Guo Jiahui School of Automotive Studies Tongji University College of Transportation Engineering Tongji University

Electric car sharing will become an important supplement to the existing traffic modes in the *** layout of charging station directly affects the convenience of users and the revenue of ***,few researches mentioned the layout of charging station of electric sharing *** article considered two electric sharing vehicle models,whose driving range were 280 km and150 km *** consumption,purchase cost,vehicle relocation and the state of charge of EVs were taken into consideration to establish a mixed integer programming(MIP) model for the layout of the charging *** model was validated by the real example of Anting which is in the west of Shanghai in China The results showed that the layout way in the model can provide an orderly operation process for the car sharing operator,improve utilization efficiency of EVs and reduce operating cost to a certain extent at the same time.

关键词： electric vehicle car sharing layout of charging station mixed integer programming model

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Minimizing the Total Weighted Completion Time of a Single Machine With Flexible Maintenance

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IEEE ACCESS 2019年 7卷 122164-122182页

作者： Huang, Shenquan Zhou, Hongming Tsai, Ya-Chih Chen, Yarong Chou, Fuh-Der Wenzhou Univ Coll Mech & Elect Engn Wenzhou 325035 Peoples R China Vanung Univ Dept Hotel Management Taoyuan 32061 Taiwan

This paper investigates the NP-hard problem of scheduling n jobs on a single machine, where the machine must be stopped periodically for maintenance after a certain continuous working time. The objective is to minimize the total weighted completion time. Two-phase heuristic algorithms are proposed: in the first phase, initial solutions are obtained by WSPT or look-ahead (LA) algorithms;then, in the second phase, the solutions are improved through improvement procedures. Additionally, a mixed integer programming (MIP) model and a branch and bound (BAB) algorithm are developed. The results of computational experiments demonstrate that when the number of jobs is less than or equal to 20, the BAB is competitive compared with an MIP model implemented in a commercial solver because in most instances the former can obtain optimal solutions faster. The results also indicate that the LA algorithm significantly outperforms the WSPT algorithm in terms of the solution quality, and the proposed improvement procedure is evidently useful in refining the solution quality for both the WSPT and LA algorithms.

关键词： Flexible maintenance branch and bound mixed integer programming model total weighted completion time

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mixed integer linear formulation for undervoltage load shedding to provide voltage stability

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IET GENERATION TRANSMISSION & DISTRIBUTION 2018年第9期12卷 2095-2104页

作者： Javadi, Masoud Amraee, Turaj KN Toosi Univ Technol Fac Elect Engn Tehran Iran

Undervoltage load shedding (UVLS) is the last resort against voltage instability in critical situations. Here, the UVLS scheme is formulated as a mixed integer programming (MIP) model. The aim of the proposed UVLS model is to provide a predetermined value of loading margin with minimum amount of load shed. The full non-linear AC power flow equations are linearised using a piecewise linear technique. The proposed linear AC power flow is then integrated into the UVLS problem. A ZIP load model is utilised to demonstrate the fulfilment of the MIP-based UVLS model under non-linear static loads. The efficacy of the developed linear AC power flow is verified under different operational conditions and contingencies. The results of the proposed MIP-based UVLS model are compared with the original non-linear programming UVLS formulation. To verify the performance of the developed load shedding strategy, the proposed MIP-based UVLS model is implemented in IEEE 14-bus and IEEE 118-bus test systems.

关键词： load shedding linear programming integer programming power system stability load flow piecewise linear techniques voltage stability undervoltage load shedding critical situations mixed integer programming model nonlinear AC power flow equations piecewise linear technique ZIP load model MIP-based UVLS model nonlinear static loads operational conditions IEEE 14-bus test systems IEEE 118-bus test systems

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An asset-management oriented methodology for mine haul-fleet usage scheduling

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RELIABILITY ENGINEERING & SYSTEM SAFETY 2018年第Dec.期180卷 336-344页

作者： Nakousi, C. Pascual, R. Anani, A. Kristjanpoller, F. Lillo, P. Univ Concepcion Mech Engn Dept Edmundo Larenas 219 Concepcion Chile Pontificia Univ Catolica Chile Min Engn Dept Vicuna Mackenna 4860 Santiago Chile Univ Tecn Federico Santa Maria Dept Ind Engn Av Espana 1680 Valparaiso 2340000 Chile

Different complexities force mining companies to find efficient ways to respond to demand challenges and ensure long-term sustainability. It explains, in part, the increase in the use of prescriptive analytics to optimize physical-asset life-cycle costs and decrease greenhouse gas (GHG) emissions. Mining, being an asset-intensive industry, provides huge improvement opportunities. This is especially true for scheduling practices of mine haulage fleet usage in long term planning. Fleet aging implies important cost increases in maintenance and repair (M&R), and overhauls. Fleets are often heterogeneous in term of truck performance, fuel consumption and GHG emissions. Sub-optimal scheduling decisions may induce severe cost over-runs and increased emissions. This paper proposes an original mixed integer programming formulation to optimize mine haulage equipment scheduling in the long term. The model considers the effects of equipment aging, fuel consumption, payload capacity and cycle times. Our formulation handles different aspects that according to author's knowledge have not been considered in the literature as a whole: (i) joint minimization of fuel, M&R, and overhaul costs, (ii) reduction of GHG emissions, (iii) heterogeneous equipment performance metrics, (iv) increase in cycle times due to mine aging. The case study shows a cost reduction of 13% in the discounted flows associated with fuel, M&R, and overhauls in a time horizon of 10 years. This figure translates into an NPV gain of 13.1 million USD. Additionally, GHG emissions are reduced by an average of 3470 t/year or 11% overall.

关键词： Physical asset management Greenhouse gas emissions mixed integer programming model Haulage fleet scheduling

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