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International Conference on Energy Engineering and Environmental Engineering (ICEEEE 2013)

作者： Bai, Lu Liu, Shuming Wang, Huanhuan Tsinghua Univ Environm Sch Beijing 100084 Peoples R China

ISBN: (纸本)9783037856833

Water shortage emerges and restricts the urban construction and the social-development due to the rapid expansion of the cities. Recent research mainly focuses on the water resources management or water distribution network management separately. In this paper, a joint optimal model for water allocation and water distribution network management is developed. In the first phase, a multi-objectives linear programming is used for the optimal allocation on multi-water resources for multi-users, in which cost and water conservation are regards as objectives. In the second phase, a non-linear model is proposed, which is solved by single-objective GA linking to EPANET hydraulic solver. The result of the first phase is a parameter of the objective in the second phase.

关键词： EPANET multi-objective linear programming water allocation Genetic Algorithm

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An optimal model of a agriculture circular system for paddy & edible fungus & dry land

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INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT 2009年第4期4卷 302-310页

作者： Zhao, Yong Zhang, Dong Tang, Yonglu Wang, Jiao Zheng, Lingyong Sichuan Univ Uncertainty Decis Making Lab Chengdu 610064 Sichuan Peoples R China Sichuan Acad Agr Sci Chengdu 610066 Sichuan Peoples R China

Paddy circular economic system, edible fungus economic system and dry land economic system constitute of the typical circular agricultural system. In the process of developing the circular economy, it is necessary to build a mathematical model to optimize the circular production of the system both on economic and ecological benefits. Based on building a multi-objective linear programming model of the typical circular agricultural system, this paper get some significant results and conclusion combining with genetic algorithm. The conclusions show that comprehensive utilization the agricultural wastes can bring huge economic and ecological benefits.

关键词： optimal model multi-objective linear programming typical circular agricultural system genetic algorithm

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An improvement in possibilistic linear programming approach for imprecise production/transportation planning decisions

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JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES 2009年第5期30卷 995-1017页

作者： Cheng, Hung-Wen Hsiuping Inst Technol Dept Ind Engn & Management 11 Gungye Rd Taichung 412 Taiwan

In many existing applications of possibilistic linear programming (PLP) model, the decision makers (DM) are asked to specify the positive ideal solution (PIS) and negative ideal solution (NIS) for defining the linear membership function proposed by Zimmermann. In practice, this is a real difficulty for an ordinary DM without possessing acute sense of arithmetic operation and adequate comprehension of PLP model. Furthermore, this task is obviously subjective and will influence the search route of the solution process via the linear membership functions. This study provides an objective method to specify appropriate PIS and NIS for defining efficient linear membership functions so as to rapidly approach a better compromise solution, and also presents a simple way for further improvement of the compromise solution to reach a satisfactory solution. The proposed approaches aim to facilitate the decision making process and promote computational efficiency as well as improve the compromise solution for the PLP method. Additionally, an integrated production/transportation planning decision (PTPD) problem is used to demonstrate the feasibility of applying the proposed methods to real industrial case. Not only the simplicity and objectivity in specifying PIS and NIS but also the computational efficiency, the results of this study show definite advantage of the proposed methods in solving PLP problem.

关键词： Possibilistic linear programming multi-objective linear programming integrated production/transportation planning decision fuzzy linear programming

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A multi-product and multi-period aggregate production plan: a case of automobile component manufacturing firm

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BENCHMARKING-AN INTERNATIONAL JOURNAL 2022年第10期29卷 3396-3425页

作者： Dohale, Vishwas Ambilkar, Priya Gunasekaran, Angappa Bilolikar, Vijay Natl Inst Ind Engn Ind Engn & Mfg Syst IEMS Mumbai Maharashtra India Penn State Harrisburg Sch Business Adm Middletown PA USA Fr Conceicao Rodrigues Coll Engn Mumbai Maharashtra India

Purpose The study attempts to develop a multi-product multi-period (MPMP) aggregate production plan (APP) to fulfill the customers' demand in terms of throughput and lead time for achieving market competence. Design/methodology/approach This research proposes an integrated Fuzzy analytical hierarchy process (FAHP), multi-objective linear programming (MOLP), and simulation approach. Initially, FAHP is used to select the essential objectives a firm desires to achieve. Adopting the MOLP, an APP is formulated for the firm under study. Later, the simulation model of a firm is created in a discrete-event simulation (DES) software Arena (c) to evaluate the applicability of the proposed APP. A comparative analysis of the manufacturing performance levels (namely throughput, lead time, and resource utilization) achieved through the implication of an existing production plan and proposed APP is conducted further. Findings The findings from the study depict that the proposed MOLP-based APP can satisfy the customers' requirement (namely throughput and lead time) and improve the level of resource utilization compared with the firm's existing production plan. Research limitations/implications The proposed research facilitates researchers and practitioners to understand the process of developing MOLP-based MPMP APP and analyzing its applicability through simulation technique to be utilized for developing APP at their firm. Originality/value An integrated FAHP-MOLP-simulation framework is the novel contribution to the literature on production planning. It can be extended to solve strategic, tactical, and operational problems in different domains like service, healthcare, supply chain, logistics, and project management.

关键词： Aggregate production planning Fuzzy AHP multi-objective linear programming Simulation Manufacturing performance

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WEIGHTED ITERATION ALGORITHM FOR SOLVING BI-objective linear programming PROBLEM

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INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 2024年第3期20卷 755-770页

作者： Wang, Shuoqi Wang, Zhanzhong Jilin Univ Transportat Coll 5988 Renmin Rd Changchun 130025 Peoples R China

Based on the multi-objective linear weighted method and the characteristic that the sum of the weighted coefficients of the bi-objective function is 1, a weighted iteration algorithm for solving bi-objective linear optimization has been proposed. The basic principle of the algorithm is that when the weighted coefficients increase gradually from a very small value to 1, an efficient solution can be obtained. The iteration algorithm needs convergence conditions. This paper proves the relationship between the iterative convergence conditions and the optimal solution of the objective function, and multiple efficient solutions can be obtained by iteration. According to the actual demand of the project, a method of determining the most efficient solution is given. The main advantage of the algorithm is that the implementation process of the weighted iteration algorithm only needs the optimal solution of a single objective function, and there is no complex process or algorithm for solving weighted coefficients. The algorithm is simple and effective, and overcomes the shortcomings of the existing algorithms that have the complex parameter setting and solving process. The examples and application show that the weighted iteration algorithm is scientific and correct, and it is easy to be used and programmed and can play an important role in practical engineering application.

关键词： linear programming Iteration algorithm Bi-objective linear programming multi-objective linear programming Mathematical programming

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Designing the green supply chain performance optimisation model

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Global Journal of Flexible Systems Management 2014年第3期15卷 235-259页

作者： Jakhar, Suresh Kumar Indian Institute of Management Rohtak Rohtak India

There is a growing concern that business enterprises and their supply chains focus on economic activities while ignoring their impact on the environment. An attempt is made here to develop a green supply chain to address this concern. With the objectives of achieving economic growth and environmental protection, the paper develops a green supply chain performance measures and proposes a partner selection and flow allocation decision making model. An integrated methodology of structural equation modeling (SEM), analytical hierarchy process (AHP), and multiobjective linear programming (MOLP), has been applied to the proposed model. To assess green performance of a supply chain, a scale is developed that includes qualitative as well as quantitative measures. Using the scale and the survey data of 278 business organizations from Indian apparel industry supply chain network, the SEM model is developed to estimate the weights of the green constructs and their measures. Based on the measures, relative scores of different supply chain alternatives (i.e. suppliers, manufacturing plants, distribution and logistics) are calculated by the AHP. The weights estimated by the SEM approach are combined with AHP relative scores to obtain weighted relative scores of different available alternatives. These weighted relative scores are then used in MOLP problem formulation for partner selection and flow allocation decision making. To illustrate the use of the optimization model, real-time data from an apparel manufacturer are presented. © 2014 Global Institute of Flexible Systems Management.

关键词： Analytical hierarchy process Flow optimization Green supply chain multi-objective linear programming Performance evaluation Structural equation modeling

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A Procurement Model with Material Purchasing Value Analysis in Construction Supply Chain

A Procurement Model with Material Purchasing Value Analysis ...

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23rd Chinese Control and Decision Conference

作者： Gou, Huanhuan Liu, Zhenyuan Li, Zheng Huazhong Univ Sci & Technol Control Sci & Engn Dept Wuhan 430074 Hubei Peoples R China Ertan Hydropower Dev Co Chengdu Sichuan Peoples R China

ISBN: (纸本)9781424487363

As the source of the modern enterprise value chain, purchasing value drives the value updated and added constantly. Based on construction supply chain, the origin of the purchasing value was analyzed from three dimensions which consist of materials value, suppliers value, and social value in this paper. A multi-objective linear programming model was proposed and solved by the fuzzy mathematics. Meanwhile by the application of the model based on the example of EHDC procurement, the distribution result kept with the purchasing intention of the owner. Compared to the traditional purchasing model which was just to control the cost as the core, the order quantities was distributed according to materials value, suppliers value, and social value further in this model.

关键词： multi-objective linear programming purchasing value construction supply chain fuzzy mathematics

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Study on Environmental-Economic Planning for Groundwater Resources

Study on Environmental-Economic Planning for Groundwater Res...

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International Research Conference of Resources Utilization and Environmental Effectiveness

作者： MA Zhenmin LI Lingling School of City Development University of Jinan

ISBN: (纸本)9781921712043

multi-objective linear programming method and groundwater environmental-economic model of groundwater is used to make environmental and economic planning for groundwater resources,with karst water system in Tai an as an *** exploitation quantity of groundwater in different management subarea of Tai an is simulated and calculated,and planning scheme for environmental control of groundwater resources in 2010 under planning conditions is also put forward,which provide a scientific basis for the sustainable use of groundwater resources in Tai an.

关键词： groundwater resources multi-objective linear programming environmental and economic management model

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Economic and Ecological Impacts of Adjusting the Age-Class Structure in Korean Forests: Application of Constraint on the Period-to-Period Variation in Timber Production for Long-Term Forest Management

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FORESTS 2022年第12期13卷 2144页

作者： Kim, Dayoung Han, Hee Shin, Joonghoon Kim, Younghwan Chang, Yoonseong Seoul Natl Univ Dept Agr Forestry & Bioresources Seoul 08826 South Korea Korea Forest Serv Div Int Cooperat Daejeon 35208 South Korea Seoul Natl Univ Res Inst Agr & Life Sci Seoul 08826 South Korea Natl Inst Forest Sci Div Forest Policy & Econ Seoul 02445 South Korea

South Korea's successful reforestation efforts over the past 50 years have led to abundant forest resources. However, intensive reforestation during the 1970s and 1980s skewed the forests' age distribution towards forest stands aged 30 years or older, which results in an unbalanced distribution of age-class, requiring redistribution with harvest and effective regeneration plans to produce a sustained yield of timber as well as long term ecological benefits. During this conversion process, variations in timber production can occur, causing economic and ecological risks if excessive. To prevent these likely risks, permissible levels of increase and decrease in timber production can be restricted in the planning phase. In determining the appropriate variation rate in timber production, it is necessary to understand the impacts of variation in timber production on forest management. This study performed a sensitivity analysis to evaluate the economic and ecological impacts of constraining the period-to-period variation in timber production. A multi-objective linear programming (MOLP) forest management planning model was utilized to study forests in Mt. Gari, South Korea. Nine management alternatives were set with different levels of variation rate in timber production and further constraints. The total volume and net present value (NPV) of timber production, carbon storage, and water storage were analyzed for each alternative. As timber production variation rates decreased, the amount of timber production increased and forest carbon storage decreased;furthermore, NPV diminished as variation constraints strengthened. These differences were mainly caused by selection of regeneration species according to the constraint on variation in timber production. If the variation rate was strictly restricted, the area of timber species with short rotation age increased during conversion period, in order to reduce the gap of timber production between periods. At the latter part of pl

关键词： age-class structure variation in timber production carbon storage water storage multi-objective linear programming

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Emergy based optimization of regional straw comprehensive utilization scheme

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JOURNAL OF CLEANER PRODUCTION 2021年 297卷 126638-126638页

作者： Xu, Zhaopeng Tang, Yuzhou Wang, Qingsong Xu, Yue Yuan, Xueliang Ma, Qiao Wang, Guangxu Liu, Mingqiang Hao, Hongli Minist Educ Shandong Key Lab Energy Carbon Reduct & Resource Res Ctr Sustainable Dev Natl Engn Lab Reducing Emiss Coal CombustEngn Re Jinan 250061 Shandong Peoples R China Beijing Jiaotong Univ Sch Econ & Management Beijing 100044 Peoples R China

With the continuous development for the straw utilization industry, studying the sustainability of different straw utilization industries and the realization of the optimal distribution of regional straw utilization industries has become an important issue. This paper studied the straw utilization industry in Shandong through field investigation and literature research, and comprehensively evaluated these industries through emergy analysis. Results showed that the emergy-based sustainability indexes (ESI) of straw biogas (SBP) and feed productions (SFP) are both high, 1.61 and 1.49 respectively, which should be encouraged. ESIs of straw-based particleboard (SBPP) and straw-bioethanol production (SP) are low, 0.61 and 0.54 respectively, which should be restricted, and other ways could be developed appropriately. Moreover, a methodology combining emergy analysis and multi-objective programming was constructed to solve optimization of regional straw comprehensive utilization scheme. The results suggested that if the main goal was to improve the regional economy, the proportion of straw returning to the field (SRF) should be reduced and that of the SBP should be increased. If the environmental impact was the main optimization goal, then SRF should be the main straw treatment method. Furthermore, to avoid adverse effects on environmental benefits and sustainable development, it was recommended that more attention should be paid to avoid blindly pursuing the increase in the scale of straw utilization. (C) 2021 Elsevier Ltd. All rights reserved.

关键词： Straw utilization Emergy analysis multi-objective linear programming Sustainable development

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