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Integer fuzzy programming approach in bi-objective selective maintenance allocation problem

Journal of Mathematical Modelling and Algorithms 2014年第2期13卷 113-124页

作者： Ali, Irfan Hasan, S. Suhaib Department of Statistics and Operations Research Aligarh Muslim University Aligarh 202 002 U.P. India

An attempt has been made to obtain a compromise allocation based on maximization of individual reliabilities of repairable and replaceable components with in the subsystems, using the information of failed and operational components and a non linear cost function with fixed budget. A solution algorithm of fuzzy programming technique is used to solve the Bi-Objective SelectiveMaintenance Allocation Problem (BSMAP). Also, the problem has been solved by two other suggested methods;“Weighted Criterion Technique” and “Desirability Function Technique”. A numerical example is also presented to illustrate the computational details. © Springer Science+Business Media Dordrecht 2013.

关键词： Bi-objective optimization Compromise allocation Desirability function fuzzy programming Selective maintenance Weighted criterion

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Bioenergy production from agro-livestock waste under uncertainty: a sustainable network design (Feb, 10.1007/s13399-023-03814-9, 2023)

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BIOMASS CONVERSION AND BIOREFINERY 2024年第1期14卷 1173-1173页

作者： Zarrinpoor, Naeme Shiraz Univ Technol Dept Ind Engn Modarres BlvdPOB Shiraz 71555313 Iran

Global warming and other environmental issues brought on by the usage of fossil fuels and the unsustainable urban population development have prompted energy industry policymakers to look for renewable sources to create clean energy. Biogas production from agro-livestock waste is a sustainable renewable bioenergy option for overcoming fossil fuel depletion. Since there are a few considerations of sustainable development goals, all air contaminants during the network activities, uncertainties in critical parameters, and crucial strategic and operational decisions in a cohesive framework at the same time in the design of bioenergy systems, this research intends to establish a bioenergy supply chain network by constructing biogas plants to produce both bioelectricity and bio-fertilizer from agricultural and livestock waste. In order to design a profit maximizing, environmentally friendly, and socially responsible supply chain, a multi-objective mathematical model is elaborated to decide strategic and operational decisions of the bioenergy supply chain with the objectives of maximizing network profits, minimizing the environmental impacts of transportation and production, and maximizing the job opportunities generated by the designed network. The uncertainty of key parameters such as costs, revenues, availability of agro-livestock waste, maximum allowable budget, and demands are considered. An approach based on the fuzzy programming method is used to handle the uncertainty. The mathematical model is solved by combining a group best–worst method with a fuzzy goal programming approach. The model is tested using actual data from the Iranian province of Fars and various agro-livestock waste, such as rice straw, wheat straw, maize straw, cow manure, and hen manure. According to the findings, 87.2% of the total network income comes from the sale of bioelectricity, which accounts for the biggest share of network revenues. Most of the network’s overall costs are related to sett

关键词： Agro-livestock waste Bioenergy supply chain Sustainable development Uncertainty fuzzy programming

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A Generalized Equilibrium Value-based Approach for Solving fuzzy programming Problem

A Generalized Equilibrium Value-based Approach for Solving F...

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IEEE International Conference on fuzzy Systems

作者： Jin, Chenxia Shi, Yan Yang, Meng Li, Fachao Hebei Univ Sci & Technol Sch Econ & Management Shijiazhuang Peoples R China Tokai Univ Grad Sch Sci & Technol Kumamoto Japan Hebei Univ Sci & Technol Sch Sci Shijiazhuang Peoples R China

ISBN: (纸本)9781479920723

fuzzy programming approach has wide application in many fields such as project management, multi-attribute decision making, and comprehensive evaluation. Its solving methods have attracted many attentions. In this paper we present a new approach, based on the genetic algorithm, for dealing with a programming problem with fuzzy-valued objective function and constraints. Firstly, we propose the concept of generalized equilibrium value of fuzzy number, and analyze the properties, further give the operation rules;secondly, we establish a generalized equilibrium value-based fuzzy programming method combined with genetic algorithm;finally, we analyze the characteristic of the above mentioned method through a non-linear fuzzy programming problems.

关键词： fuzzy programming fuzzy number ranking triangular fuzzy number generalized equilibrium value genetic algorithm

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A novel energy-water-carbon coupling system optimization management model based on water environmental carrying capacity under the influence of climate change

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ENERGY STRATEGY REVIEWS 2024年 53卷

作者： Fu, Zhenghui Dong, Jiao Zhang, Jinbo Guo, Yunyan Zhang, Yang Jiang, Xia Wang, Han Wang, Shuhang Chinese Res Inst Environm Sci State Key Lab Environm Criteria & Risk Assessment Natl Engn Lab Lake Pollut Control & Ecol Restorat State Environm Protect Key Lab Lake Pollut Control Beijing 100012 Peoples R China Peking Univ Coll Environm Sci & Engn Beijing 100871 Peoples R China Chinese Acad Environm Planning Inst Strateg Planning Beijing 100012 Peoples R China

Under climate change, the ability of water bodies to maintain ecology and human activities becomes more fragile, leading to water shortages. The change in the carrying capacity of the water environment further intensifies the management difficulties of the resource-environment-economic system. This study aims to establish a comprehensive framework that integrates an interval fuzzy program and water environmental carrying capacity assessment model to obtain the optimal state of the energy-water-carbon coupling system by promoting industrial structure adjustment. It is demonstrated that a 10 % reduction in carbon emissions leads to a 15 % increase in the water environmental carrying capacity of the Huangshui watershed. Under the influence of climate change, total energy consumption and carbon emissions show a downward trend. Water consumption per unit of output, energy consumption and carbon emission management policies are highly related and are the main control points for policymakers. The developed model simultaneously considers industrial structure optimization and water environment carrying capacity, and assists in formulating the energy-water-carbon balanced management policies to promote the sustainability of the regional environ-economic system.

关键词： Industrial structure Water environmental capacity fuzzy programming Energy -water -carbon coupling system Climate change

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A generalized parametric approach for solving different fuzzy parameter based multi-objective transportation problem

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SOFT COMPUTING 2024年第4期28卷 3187-3206页

作者： Kacher, Yadvendra Singh, Pitam Motilal Nehru Natl Inst Technol Allahabad Dept Math Prayagraj 211004 Uttar Pradesh India

This research article presents a novel two-step generalized parametric approach to address various fuzzy parameter-based multi-objective transportation problems. These problems involve uncertain or imprecise data, making it challenging to find precise solutions. This research article aims to find multiple optimal solutions for various values of the parameter mu is an element of[0, 1], ultimately giving decision-makers a range of options from which the final solution is to choose. The suggested methodology consists of two main steps. In the first step, the fuzzy data is partitioned into distinct split levels using parametric equations controlled by the precision parameter mu, thereby transforming the FMOTPs intoCMOTPs. In the second step, fuzzy programming techniques are employed to solve the CMOTPs for varying values of mu, generating multiple optimal solutions. The gray relational analysis (GRA) technique is utilized within each split level to identify the best optimal compromise solution for that specific level. Furthermore, the preferred compromise solution is selected based on its minimal Euclidean distance to the ideal solution across all split levels, offering additional insights for decision-making. The proposed method is illustrated on three numerical problems, demonstrating its effectiveness in providing a range of trade-offs between conflicting objectives. A comparative analysis with existing methods in the literature highlights the advantages of the proposed approach, showcasing its practical usefulness in real-world transportation decision-making processes.

关键词： fuzzy parameter based multi-objective transportation problem Precision parameter fuzzy programming Grey relational analysis Euclidean distance Preferred compromise solution etc

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GAUSSIAN TYPE-2 fuzzy COOPERATIVE GAME BASED ON REDUCTION METHOD: AN APPLICATION TO MULTI-DRUG RESISTANCE PROBLEM

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JOURNAL OF DYNAMICS AND GAMES 2025年第3期12卷 215-242页

作者： Maiti, Sumit Kumar Roy, Sankar Kumar Weber, Gerhard Wilhelm Haldia Inst Technol Dept Appl Sci & Humanities Dept Comp Sci & Engn Data Sci Haldia 721657 West Bengal India Vidyasagar Univ Dept Appl Math Midnapore 721102 West Bengal India Poznan Univ Tech Fac Engn Management Poznan Poland Middle East Tech Univ Inst Appl Math Ankara Turkiye

Many developments of fuzzy sets have been suggested to accomplish uncertain information in real-world problems. But, in the greatest cases, fuzzy sets in two- dimensions or type-1 fuzzy sets are measured. Incomplete information can indeed be complicated to manage as it creates gaps in understanding. Sporadically, the insufficiency of the data depends upon the extent of time or source, or both. In that case, type-1 fuzzy sets are not adequate to describe the situation. A three-dimensional of the fuzzy set, or type-2 fuzzy set, is utilized here to associate this gap. In the present study, we aim to improve cooperative games in Gaussian type-2 fuzzy environments. To do this, we first delineate the mean reduction and critical value method in Gaussian type-2 fuzzy environments and their properties. A composite strategy combining parametric programming and fuzzy programming is proposed to resolve the created bi-level programming problem in the course of the cooperative game. The proposed methodology is outlined with the multiple drug resistance implementation problem to verify the applicability and validity.

关键词： Bi-level programming cooperative game fuzzy programming satisfactory solution genetic algorithm

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Green inventory management in a multi-product, multi-vendor post-disaster construction supply chain

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ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY 2025年第2期27卷 3629-3664页

作者： Mohammadnazari, Zahra Alipour-Vaezi, Mohammad Hassannayebi, Erfan Kingston Univ Kingston Business Sch Kingston Upon Thames England Virginia Tech Grad Dept Ind & Syst Engn Blacksburg VA 24060 USA Sharif Univ Technol Ind Engn Dept Tehran Iran

In the outcome of natural disasters, different factors, i.e., uncertain lead time and material quality, incur an additional cost, downgrading the supply chains' efficiency. The optimal inventory decisions are challenging due to the complexity arising from the multi-product, multi-vendor consideration, uncertainty of supplies, and conflicting objectives in sustainable construction supply chains. To fill the existing research gaps, this research presents an operation research modeling framework to minimize the amount of carbon emitted by suppliers' vehicles as well as ordering and holding costs in a post-disaster construction supply chain under the epistemic uncertainty of quality and cost data. Furthermore, the quality of the received material is maximized in the model. Also, the weights of objectives are estimated using two MCDM techniques. A case study is delineated to validate the proposed optimization model and its performance. To make the comparison of the proposed model with the suppliers' efficiency, the DEA model is applied, and sensitivity analysis is presented in this case. The results indicate that supplier selection based on the efficiency of suppliers can culminate in more contractors' satisfaction, although the mathematical model can choose the suppliers with consideration of the project timeline.

关键词： Post-disaster construction supply chain Green transportation Supplier selection Sustainability fuzzy programming Multi-criteria decision-making (MCDM) Post-disaster construction supply chain Green transportation Supplier selection Sustainability fuzzy programming Multi-criteria decision-making (MCDM)

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Evaluating manufacturing plants readiness for distributed ledger technology: a network framework for ambiguity levels

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INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS 2024年第1期11卷

作者： Babaei, Ardavan Tirkolaee, Erfan Babaee Ali, Sadia Samar Istinye Univ Dept Ind Engn Istanbul Turkiye Yuan Ze Univ Dept Ind Engn & Management Taoyuan Taiwan Western Caspian Univ Dept Mech & Math Baku Azerbaijan King Abdulaziz Univ Fac Engn Dept Ind Engn Jeddah Saudi Arabia

The utilisation of blockchain technology has gained significant traction within contemporary supply chains owing to its ability to enhance transparency, security, and traceability. Manufacturing plants, as pivotal components of the supply chain, stand to benefit from improved tracking and transparency of goods movement, real-time visibility, quality control processes, and adherence to industry standards through blockchain implementation. Nonetheless, without a comprehensive assessment of manufacturing plants' readiness to embrace blockchain technology, the anticipated benefits may give way to unforeseen challenges. In this study, a novel network framework is offered to evaluate manufacturing plants' readiness for adopting distributed ledger technology, specifically blockchain, under varying levels of ambiguity, including high (fuzzy) and low (scenario) ambiguity. This framework is distinguished by its ability to address uncertainty in evaluations, incorporating both scenario-based and fuzzy programming approaches. Furthermore, the framework treats evaluation criteria as interconnected entities, fostering a network perspective rather than a black-box approach. The proposed framework is then validated through a case study involving five manufacturing plants and twenty-four evaluation criteria. Our findings underscore the pivotal role of uncertainty considerations in ranking manufacturing plants, with the fifth plant emerging as the frontrunner across both fuzzy and scenario-based assessments in most instances.

关键词： Blockchain adoption manufacturing supply chain management fuzzy programming scenario programming

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Project scheduling problem with fuzzy activity durations: A novel operational law based solution framework

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2023年第2期306卷 519-534页

作者： Zhao, Mingxuan Zhou, Jian Wang, Ke Pantelous, Athanasios A. Tongji Univ Sch Econ & Management Shanghai 200092 Peoples R China Shanghai Univ Sch Management Shanghai 200444 Peoples R China Monash Univ Monash Business Sch Dept Econometr & Business Stat 20 Chancellors WalkWellington Rd Clayton Vic 3800 Australia

In this paper, we propose a novel operational law for calculating the credibility distributions of monotone functions of independent regular fuzzy numbers to study the project scheduling problem with partially (or fully) fuzzy activity durations. In this regard, we formulate three corresponding types of fuzzy mod-els, namely the alpha-cost minimization, the credibility maximization and the time-cost trade-off models, and show that they can be converted into crisp ones, and then be efficiently solved. Specifically, for the first model, its optimal solution is represented analytically, and thus determined precisely. The sec-ond and third ones can be solved exactly for small and medium, and approximately with high accuracy within reasonable time for large scale projects. Several numerical experiments on the public instance sets from the project scheduling problem library (PSPLIB) illustrate clearly the accuracy and efficiency of our treatment.(c) 2022 Elsevier B.V. All rights reserved.

关键词： Project scheduling Project management fuzzy programming Operational law

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A fuzzy optimization model for designing an efficient blood supply chain network under uncertainty and disruption

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ANNALS OF OPERATIONS RESEARCH 2023年第1期331卷 447-501页

作者： Seyfi-Shishavan, Seyed Amin Donyatalab, Yaser Farrokhizadeh, Elmira Satoglu, Sule Itir Istanbul Tech Univ Dept Ind Engn TR-34367 Istanbul Turkey

In a natural disaster such as an earthquake, due to the extensive number of injured, demand for blood units sharply increases in health care centers. Thus, designing an efficient supply chain network for managing blood distribution is one of the major concerns for the healthcare systems under uncertain conditions. This study aims to propose a methodology to minimize the total cost of the blood supply network and total blood shortage. We proposed a new fuzzy multi-period mathematical model using trapezoidal fuzzy numbers by Spherical fuzzy membership degrees for the blood supply network design. The proposed methodology has considered the possibility of natural disasters in Istanbul (Asian side), the economic and cultural center of Turkey. The proposed model is formulated by fuzzy objective function and fuzzy variables;thus, the final results remained in the fuzzy form. The uncertain parameters are the demand for blood from different blood types in each hospital, the amount of the blood supply in each blood donation facility, the percentage of usable blood, failure rates of the network's components, and network costs. These parameters are represented by trapezoidal fuzzy numbers so that they have membership degrees stated by spherical fuzzy sets. To aggregate decision-makers viewpoints about parameters, spherical fuzzy number algebraic weighted harmonic mean (SFNAWHM) aggregation operator is employed. The relevant network consists of four layers: blood donation areas, blood collection centers, main blood centers, and hospitals. We considered the concept of disruption throughout the supply chain by considering failure rates for all network components. Finally, a sensitivity analysis is performed to validate the proposed fuzzy model and solution methodology.

关键词： Blood supply chain fuzzy programming Spherical fuzzy sets Disaster Uncertainty

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