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Integrating production-transportation planning decision with fuzzy multiple goals in supply chains

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2008年第6期46卷 1477-1494页

作者： Liang, T. -F. Hsiuping Inst Technol Dept Ind Engn & Management Taichung 412 Taiwan

This work presents a novel fuzzy multi-objective linear programming (f-MOLP) model for solving integrated production-transportation planning decision (PTPD) problems in supply chains in a fuzzy environment. The proposed model attempts to simultaneously minimise total production and transportation costs, total number of rejected items, and total delivery time with reference to available capacities, labor level, quota flexibility, and budget constraints at each source, as well as forecast demand and warehouse space at each destination. An industrial case demonstrates that the proposed f-MOLP model achieves an efficient compromise solution and overall decision maker satisfaction with determined goal values. Additionally, the proposed model provides a systematic framework that facilitates decision makers to interactively modify the fuzzy data and parameters until a satisfactory solution is obtained. Overall, the f-MOLP model offers a practical method for solving PTPD problems with fuzzy multiple goals, and can effectively improve producer-distributor relationships within a supply chain.

关键词： production-transportation planning decisions fuzzy multi-objective linear programming supply chain fuzzy set theory

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fuzzy multi-objective decision making approach for nuclear power plant installation

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JOURNAL OF INTELLIGENT & fuzzy SYSTEMS 2020年第5期39卷 6339-6350页

作者： Cakir, Esra Ulukan, Ziya Galatasaray Univ Dept Ind Engn Ciragan Cad 36 TR-34349 Ortakoy Istanbul Turkey

Due to the increase in energy demand, many countries suffer from energy poverty because of insufficient and expensive energy supply. Plans to use alternative power like nuclear power for electricity generation are being revived among developing countries. Decisions for installation of power plants need to be based on careful assessment of future energy supply and demand, economic and financial implications and requirements for technology transfer. Since the problem involves many vague parameters, a fuzzy model should be an appropriate approach for dealing with this problem. This study develops a fuzzy multi-objective linear programming (FMOLP) model for solving the nuclear power plant installation problem in fuzzy environment. FMOLP approach is recommended for cases where the objective functions are imprecise and can only be stated within a certain threshold level. The proposed model attempts to minimize total duration time, total cost and maximize the total crash time of the installation project. By using FMOLP, the weighted additive technique can also be applied in order to transform the model into fuzzy multiple Weighted-objective linear programming (FMWOLP) to control the objective values such that all decision makers target on each criterion can be met. The optimum solution with the achievement level for both of the models (FMOLP and FMWOLP) are compared with each other. FMWOLP results in better performance as the overall degree of satisfaction depends on the weight given to the objective functions. A numerical example demonstrates the feasibility of applying the proposed models to nuclear power plant installation problem.

关键词： Project management nearest interval approximation method goal programming fuzzy multi-objective linear programming nuclear power plant

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fuzzy multi-objective production/distribution planning decisions with multi-product and multi-time period in a supply chain

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COMPUTERS & INDUSTRIAL ENGINEERING 2008年第3期55卷 676-694页

作者： Liang, Tien-Fu Hsiuping Inst Technol Dept Ind Engn & Management Taichung 412 Taiwan

This work develops a fuzzy multi-objective linear programming (FMOLP) model with piecewise linear membership function to solve integrated multi-product and multi-time period production/distribution planning decisions (PDPD) problems with fuzzy objectives. The original multi-objective linear programming designed in this work model attempts to simultaneously minimize total costs and total delivery time in relation to inventory levels, available machine capacity and labor levels at each Source, and forecast demand and available warehouse space at each destination and total budget. The proposed FMOLP model provides a systematic framework that facilitates fuzzy decision-making process, enabling the decision maker (DM) to interactively adjust the search direction during the solution procedure to obtain a DM's preferred satisfactory solution. Additionally, the DM computes the value in each cost category by considering the time value of money in the proposed model, which is appropriate for practical application to the PDPD problem in a supply chain. Finally, an industrial case demonstrates the feasibility of applying the proposed model to a real-world integrated PDPD problem in a supply chain under uncertain

关键词： Supply chain management Production/distribution planning decisions fuzzy multi-objective linear programming fuzzy sets

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A fuzzy multiobjective program with quasiconcave membership functions and fuzzy coefficients

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fuzzy SETS AND SYSTEMS 2000年第1期109卷 59-81页

作者： Li, HL Yu, CS Natl Chiao Tung Univ Inst Informat Management Hsinchu 30050 Taiwan Shih Chien Univ Dept Informat Management Taipei 10020 Taiwan

A method is proposed for solving a fuzzy multi-objective linear programming problem (FMP) with quasiconcave membership functions and fuzzy coefficients. The proposed method first expresses a piecewise function as the summation of absolute terms. Then we search for the interval where the optimal solution is allocated by finding the corresponding points with same value of membership functions. After that, the problem is solved by goal programming techniques. Comparing with other FMP methods, the proposed method does not need to add extra zero-one variables, to divide the original problem into several sub-problems, or transforming all original quasiconcave functions into concave functions. In addition, the proposed method could solve a FMP problem with fuzzy coefficients;to obtain a solution closing to a global optimum. (C) 2000 Elsevier Science B.V. All rights reserved.

关键词： fuzzy multi-objective linear programming goal programming piecewise linear membership function quasiconcave function

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fuzzy multi-objective procurement/production planning decision problems for recoverable manufacturing systems

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JOURNAL OF MANUFACTURING SYSTEMS 2015年第Part1期37卷 396-408页

作者： Su, Tai-Sheng Lin, Yu-Fan Natl Pingtung Univ Sci & Technol Dept Ind Management Pingtung 91201 Taiwan

In actual lot-sizing production-to-order problems for recoverable remanufacturing systems, input data or parameters are often imprecise or fuzzy. This study develops a novel fuzzy multi-objective linear programming (FMOLP) model with a piecewise linear merhbership function to solve integrated,procurement/production, planning decision problems with fuzzy environments and deal with multi-component, multi-vendor, multi-source and multi-machines under recoverable remanufacturing systems. The initial FMOLP model developed in this study attempts to simultaneously minimize total costs and total lead times in relation to supplier capacity, lead time, lot release, machine yield and customer demand. The proposed FMOLP model provides a systematic framework that facilitates a fuzzy decision-making process, enabling a decision maker to interactively adjust search direction during the solution procedure to obtain the preferred satisfactory solution. To test the model's adequacy, an actual implementation of several scenarios was conducted using remanufacturing production systems. The analytical results presented in this study can help decision managers better understand systematic analysis and the potential for improving cost-effectiveness and lead time in terms of recoverable remanufacturing planning. (C) 2014 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.

关键词： Lot-sizing fuzzy multi-objective linear programming Recoverable remanufacturing systems Procurement/production planning

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Application of fuzzy sets to manufacturing/distribution planning decisions with multi-product and multi-time period in supply chains

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EXPERT SYSTEMS WITH APPLICATIONS 2009年第2期36卷 3367-3377页

作者： Liang, Tien-Fu Cheng, Hung-Wen Hsiuping Inst Technol Dept Ind Engn & Management Dali City 412 Taichung Taiwan

This work applies fuzzy sets to integrating manufacturing/distribution planning decision (MDPD) problems with multi-product and multi-time period in supply chains by considering time value of money for each of the operating cost categories. The proposed fuzzy multi-objective linear programming model (FMOLP) attempts to simultaneously minimize total costs and total delivery time with reference to inventory levels, available machine capacity and labor levels at each source, as well as market demand and available warehouse space at each destination, and the constraint oil total budget. An industrial case demonstrates the feasibility of applying the proposed model to a realistic MDPD problem and several significant management implications are presented based oil computational analysis and comparisons with the existing MDPD methods. The main advantage of the proposed model is that it presents a systematic framework that facilitates fuzzy decision-making for solving the multi-objective MDPD problems with multi-product and multi-time period in supply chains under all uncertain environment, enabling the decision maker to adjust the search direction during the solution procedure to obtain a preferred satisfactory solution. (C) 2008 Elsevier Ltd. All rights reserved.

关键词： Supply chains fuzzy sets Manufacture/distribution planning decisions fuzzy multi-objective linear programming

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Vendor selection problem by using an interactive fuzzy multi-objective approach with modified S-curve membership functions

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COMPUTERS & MATHEMATICS WITH APPLICATIONS 2010年第4期60卷 1038-1048页

作者： Diaz-Madronero, Manuel Peidro, David Vasant, Pandian Univ Politecn Valencia Res Ctr Prod Management & Engn CIGIP Valencia Spain Univ Teknol PETRONAS Dept Elect & Elect Engn Tronoh Malaysia

In this paper, the vendor selection (VS) problem with fuzzy goals is considered. An interactive method is developed for solving multi-objective VS problems where fuzzy data are represented by using S-curve membership functions. The proposed method attempts simultaneously to minimize the total order costs, the number of rejected items and the number of late delivered items with reference to several constraints such as meeting buyers' demand, vendors' capacity, vendors' quota flexibility, vendors' allocated budget, etc. An interactive solution methodology is proposed to solve the multi-objective VS problem and to find a preferred compromise solution. Moreover, the performance of S-curve membership functions that represent uncertainty goals and constraints in VS problems with linear membership functions in an industrial case is compared. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： Vendor selection problem Supply chain management S-curve membership function fuzzy multi-objective linear programming Uncertainty

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Selection of Calibration Supplier under fuzzy Environment

Selection of Calibration Supplier under Fuzzy Environment

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World Congress on Engineering (WCE 2011)

作者： Erginel, Nihal Gecer, Ayse Anadolu Univ Eskisehir Turkey

ISBN: (纸本)9789881925145

Companies measure several quality characteristics of row metarial and/or semi product and/or product for both incoming quality control and the manufacturing process according to quality control plans. Behind the measurement devices and capabilities of operators, calibration of measurement devices is crucially important for measurement system, especially for ISO 9001 Quality System Management Standard. So, selection of calibration supplier is coming into prominence. This paper presents a methodology for selection among calibration supplier. Firstly, the selection criteria of a calibration supplier and their weights are determined with a questionnaire. Then, multi-objective linear programming (MOLP) model is used to assign the devices to the calibration supplier in fuzzy environment. Two objectives are considered in this model: maximizing the weights of criterions and minimizing calibration cost under the constraints. Two phase approach is used for this model.

关键词： calibration supplier selection fuzzy approach fuzzy multi-objective linear programming supplier selection two phase approach

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A fuzzy integrated approach for project selection

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JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT 2014年第3期27卷 247-+页

作者： Bolat, Bersam Cebi, Ferhan Temur, Gul Tekin Otay, Irem Istanbul Tech Univ Management Engn Istanbul Turkey

Purpose - The purpose of this paper is to develop a systematic and comprehensive project selection model utilizing fuzzy multi-objective linear programming (FMOLP) that deals with the imprecise data in IS projects and uncertain judgment of decision makers. Design/methodology/approach - First, projects are prioritized by considering both quantitative and qualitative factors. A fuzzy analytical hierarchical process (FAHP) is used in order to obtain weights of each project that indicates their priorities. At the second step, project selection decision is completed by using FMOLP. Then, the sensitivity analysis is performed to evaluate the robustness of the proposed integrated model. Findings - The result of this study indicates that an integrated approach utilizing FAHP and FMOLP can be used as a supportive tool for project selection in IS context. It decreases the uncertainty caused from uncertain judgment of decision makers. Research limitations/implications - Future studies are suggested to design models having fuzzy constraints such as budget and resources. Moreover, for future studies, non-linear membership functions can be used. Practical implications - Actual projects are provided from the Turkish IS company for prioritizing process and a hypothetical mathematical model is demonstrated using illustrative data. Originality/value - This study contributes to the relevant literature by proposing a comprehensive model considering many conflicting ideas of decision makers on quantitative and qualitative criteria, and evaluating projects in an integrated way including FAHP and FMOLP.

关键词： Information systems Project selection fuzzy analytical hierarchical process fuzzy multi-objective linear programming multi-criteria decision making

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A New Approach for Solving fuzzy Supplier Selection Problems Under Volume Discount

A New Approach for Solving Fuzzy Supplier Selection Problems...

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Academic Conference on 30th Anniversary of fuzzy Geometric programming and 40th Education Year by and of Cao Bingyuan (ACFGPAEC)

作者： Nasseri, S. H. Chitgar, S. Univ Mazandaran Dept Math Babol Sar Iran

ISBN: (纸本)9783319665146;9783319665139

In order to achieve a compromised solution for a multi-objective linear programming with fuzzy right hand sides, Tchebycheff norm and a new approach based on alpha-cut is suggested to minimize the distance from the current estimate of the objective values from the ideal point. Since the obtained solutions by the Tchebycheff approach are weakly efficient for multi-objective problems. Hence, an augmented weighted Tchebycheff norm has been proposed. Here, the satisficing tradeoff algorithm is used to solve the augmented weighted Tchebycheff problems. Since the supplier selection problem is usually a multi-objective problem, the augmented weighted Tchebycheff method is applied for obtaining its solutions.

关键词： fuzzy multi-objective linear programming Augmented weighted Tchebycheff norm alpha-cut approach Satisficing tradeoff algorithm

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