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fuzzy multi-objective programming for supplier selection and risk modeling: A possibility approach

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2010年第3期200卷 774-787页

作者： Wu, Desheng Dash Zhang, Yidong Wu, Dexiang Olson, David L. Reykjavik Univ Sch Sci & Engn IS-103 Reykjavik Iceland Univ Toronto RiskLab Toronto ON M5S 3G8 Canada SUNY Buffalo Dept Ind & Syst Engn Buffalo NY 14260 USA Univ Sci & Technol China Sch Management Hefei 230026 Anhui Peoples R China Univ Nebraska Dept Management Lincoln NE 68588 USA

Selection of supply chain partners is an important decision involving multiple criteria and risk factors. This paper proposes a fuzzy multi-objective programming model to decide on supplier selection taking risk factors into consideration. We model a supply chain consisting of three levels and use simulated historical quantitative and qualitative data. We propose a possibility approach to solve the fuzzy multi-objective programming model. Possibility multi-objective programming models are obtained by applying possibility measures of fuzzy events into fuzzy multi-objective programming models. Results indicate when qualitative criteria are considered in supplier selection, the probability of a certain supplier being selected is affected. (C) 2009 Elsevier B.V. All rights reserved.

关键词： Supplier selection Risk fuzzy multi-objective programming multiple criteria Chance constraint

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fuzzy multi-objective programming Approach To Hazard Materials Treatment Center Location

Fuzzy Multi-objective Programming Approach To Hazard Materia...

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International Conference on Artificial Intelligence and Computational Intelligence

作者： Dai, Wenqiang Huang, Qian Univ Elect Sci & Technol China Sch Management & Econ Chengdu 610054 Sichuan Peoples R China Xian Physical Educ Univ Dept Sports Sociol Xian 710068 Peoples R China

ISBN: (纸本)9780769538167

This paper mainly focus on the hazard materials treatment center location problem using the fuzzy multi-objective programming approach. We consider the factor of treating volume of each treatment center into the classical MAX-MIN model. The problem is formulated as a bi-objective problem, which is rarely studied previously. Additionally, to provide a more realistic model structure, decision makers imprecise aspiration levels for the goals are incorporated into the model through fuzzy modelling approach. In the decision process, a fuzzy goal programming method is developed. We also discuss the computing approach and prove that the fuzzy optimal solution has a good performance.

关键词： Location Hazard Materials fuzzy multi-objective programming

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fuzzy multi-objective programming Application for Time-Cost Trade-off of CPM in Project Management

Fuzzy Multi-objective Programming Application for Time-Cost ...

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2nd International Conference on Computational Collective Intelligence: Technologies and Applications

作者： Yang, Gino K. Department of Computer Science and Information Management Hungkuang University Taiwan

ISBN: (纸本)9783642166921

In pragmatic project management cases, many complex resources and large-scale related activities are involved. Moreover, when situations are under the conflict and incommensurate of time and cost, it becomes more difficult for managers to make their decisions. Hence, we construct fuzzy multi-objective programming model from CPM technique. Through emphasizing the selectable flexibility among the feasible projects, we describe the decision problem brought from uncertainty and complex in project. In our research, taking the conflict and incommensurate of time and cost as two major factors, we measure weight and priority to denote the importance degree between the objectives. Adopting Tiwari et al., we also develop the result when trading off the decision vs. the vague environment of time and cost and the past' single objective' method has become the exceptional case of multi-objective models. Secondly, we broaden the consumed time and cost of activity events when assumptions are certain to merge the practical situation. We applied fuzzy number to express estimate time and cost. It based on Lee and Li method to solve this problem. Finally, we employ numerical example to explain it with LINGO package to calculate.

关键词： Project management CPM fuzzy number fuzzy multi-objective programming

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A fuzzy multi-objective programming model for supplier selection with volume discount and risk criteria

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2014年第5-8期71卷 1483-1492页

作者： Aghai, Shima Mollaverdi, Naser Sabbagh, Mohammad Saeed Tehran Payamnoor Univ TPNU Esfahan Iran Isfahan Univ Technol IUT Esfahan Iran

In contemporary supply chain management, the performance of potential suppliers is evaluated against multiple criteria. In this paper, a fuzzy multi-objective programming model is outlined to propose supplier selection taking quantitative, qualitative, and risk factors into consideration. Also quantity discount has been considered to determine the best suppliers and to place the optimal order quantities among them. The mixed integer derivative nonlinear programming is obtained from fuzzy multi-objective programming model by chance-constrained method. To solve this problem, an innovative method is proposed. In addition, several "what if" scenarios are facilitated. Finally, a real-life sample is used to validate the proposed model.

关键词： Supplier selection Risk fuzzy multi-objective programming Chance-constrained Discount quantity

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fuzzy multi-objective programming: A systematic literature review

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EXPERT SYSTEMS WITH APPLICATIONS 2022年第0期196卷 116663-116663页

作者： Karimi, Negar Feylizadeh, Mohammad Reza Govindan, Kannan Bagherpour, Morteza Islamic Azad Univ Dept Ind Engn Shiraz Branch Shiraz Iran Shanghai Maritime Univ China Inst FTZ Supply Chain Shanghai 201306 Peoples R China Univ Southern Denmark Ctr Sustainable Supply Chain Engn Danish Inst Adv Study Dept Technol & Innovat Campusvej 55 Odense M Denmark Yonsei Univ Yonsei Frontier Lab Seoul South Korea Iran Univ Sci & Technol Dept Ind Engn Tehran Iran

multi-objective programming is commonly used in the literature when conflicted objectives arise in solving optimization problems. Over the past decades, classical optimization methods have been developed as useful tools to discover optimal solutions for multi-objective problems (MOPs). In recent years, under uncertainty, multi-objective Optimization (MOO) has received much attention due to its practical applications in real-world problems. However, many studies have been conducted on this matter. Some of which ignored the effects of uncertainty on optimization problems. This paper systematically reviews and summarizes various multi-objective methods applied to the problems with more than one objective in uncertain environments where uncertainty is expressed using fuzzy sets. In this paper, 439 articles on fuzzy multi-objective programming published from 1978 to 2021 are reviewed using corresponding texts, charts, and tables. Finally, the basic features of MOO are briefly presented, along with a prologue of MOO techniques and current trends. Recommendations for further research are also is provided.

关键词： fuzzy environment fuzzy multi-objective programming multi-objective optimization methods Asystematic literature review

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Time, cost, and quality trade-offs in material requirements planning using fuzzy multi-objective programming

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE 2012年第B3期226卷 560-564页

作者： Bagherpour, M. Feylizadeh, M. R. Cioffi, D. F. George Washington Univ Dept Decis Sci Washington DC 20052 USA Iran Univ Sci & Technol Dept Ind Engn Tehran Iran Islamic Azad Univ Dept Ind Engn Shiraz Iran

In this paper, three simultaneous objectives - material requirements planning (MRP) completion time minimization, total cost minimization, and maximization of the quality of raw materials in an MRP system - are balanced by using a fuzzy multi-objective programming (F-MOP) model. Crashing the total MRP completion time;that is, reducing the time by increasing the resources, can improve on-time delivery to the customer. The goal is to determine the optimum crashing in an MRP context such that maximum total satisfaction is achieved. The approach proposed in this paper is given in both symmetric and asymmetric cases, and relevant results are presented and discussed. The model can help manufacturers deliver products on time, at low cost, with high quality.

关键词： material requirements planning production planning fuzzy multi-objective programming network modelling symmetric and asymmetric modelling time-cost trade-offs

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Method for solving quasi-concave and non-concave fuzzy multi-objective programming problems

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fuzzy SETS AND SYSTEMS 2001年第2期122卷 205-227页

作者： Yu, CS Li, HL Shih Chien Univ Dept Informat Management Taipei 10497 Taiwan Natl Chiao Tung Univ Inst Informat Management Hsinchu 30050 Taiwan

This paper proposes a method based on linear programming techniques to treat quasi-concave and non-concave fuzzy multi-objective programming (FMOP) problems. The proposed method initially presents a piecewise linear expression to interpreting a quasi-concave membership function. Then we find the convex-type break points acid transform all quasi-concave membership functions into concave functions. After that, the converted program is solved by linear programming techniques to obtain a global optimum. Tn addition to not containing any of the zero-one variables, the proposed method does not require dividing the quasi-concave FMOP problem into large sub-problems as in conventional methods. The extension of the proposed method can treat general non-concave FMOP problems by merely adding less number of zero-one variables. (C) 2001 Elsevier Science B.V. All rights reserved.

关键词： fuzzy multi-objective programming linear programming non-concave piecewise

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Designing sustainable supply chain networks under uncertain environments: fuzzy multi-objective programming

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JOURNAL OF CLEANER PRODUCTION 2018年 174卷 1550-1565页

作者： Tsao, Yu-Chung Vo-Van Thanh Lu, Jye-Chyi Yu, Vincent Natl Taiwan Univ Sci & Technol Dept Ind Management Taipei Taiwan Georgia Inst Technol Sch Ind & Syst Engn Atlanta GA 30332 USA

Sustainable supply chain networks have attracted considerable attention in recent years as a means of dealing with a broad range of environmental and social issues. This paper reports a multi-objective mathematical programming model for use in the design of a sustainable supply chain network under uncertain conditions. The proposed model is aimed at maximizing social benefits while minimizing economic costs and environmental impacts. The objective assists in making decisions concerning the selection of production technologies and materials and determining the number and locations of production and distribution centers and the quantity of product to be transported between facilities. Uncertainty related to customer demand is dealt by using stochastic variables, whereas overall costs, carbon emissions, job opportunities, and the detrimental effects of the resulting solutions are handled using fuzzy numbers. An interactive method based on two-phase stochastic programming and fuzzy probabilistic multi-objective programing is used to overcome problems related to uncertainty. Finally, numerical analysis demonstrates the efficacy and efficiency of the proposed model. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Sustainable supply chain network multi-echelon Economic benefits Environmental and social responsibilities fuzzy multi-objective programming Two-phase stochastics programming

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The fuzzy multi-objective programming Model and Solving Methods Based on Group Weight

The Fuzzy Multi-Objective Programming Model and Solving Meth...

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5th International Conference on fuzzy Systems and Knowledge Discovery

作者： Xiong, Guoqiang Pan, Quan Zhang, Hongcai Northwestern Polytech Univ Xian 710072 Peoples R China Xian Univ Technol Sch Business Adm Xian 710054 Peoples R China

ISBN: (纸本)9780769533056

This paper proposed an issue that among the objectives it need to weight to reflect the different importance in the fuzzy multi-objective programming. Established a fuzzy multi-objective programming model with preference weight;Taking into account many decision-makers participating in evaluation, gave a method which made the preference information set of different forms assembled into group preference, and applied integrated weight into the fuzzy multi-objective programming. Finally, examples are given in this paper to verify the effectiveness of the model and method.

关键词： fuzzy multi-objective programming group decision preference weight

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Application of fuzzy multi-objective programming approach to supply chain distribution network design problem

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5th Mexican International Conference on Artificial Intelligence (MICAI 2006)

作者： Selim, Hasan Ozkarahan, Irem Dokuz Eylul Univ Dept Ind Engn TR-35100 Izmir Turkey

ISBN: (纸本)9783540490265

A supply chain distribution network design model is developed in this paper. The goal of the model is to select the optimum numbers, locations and capacity levels of plants and warehouses to deliver the products to the retailers at the least cost while satisfying the desired service level. Maximal covering approach is employed in statement of the service level. Different from the previous researches in this area, coverage functions which differ among the retailers according to their service standard requests are defined for the retailers. Additionally, to provide a more realistic model structure, decision maker's imprecise aspiration levels for the goals, and demand uncertainties are incorporated into the model through fuzzy modeling approach. Realistic computational experiments are provided to confirm the viability of the model.

关键词： fuzzy multi-objective programming supply chain distribution network design

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