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 ...
详细信息
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.
Purpose This study aims to create a model for defining the best supplier for a company and allocating order that considers sustainability criteria beyond the traditional selection criteria. Design/methodology/approach...
详细信息
Purpose This study aims to create a model for defining the best supplier for a company and allocating order that considers sustainability criteria beyond the traditional selection criteria. Design/methodology/approach In this paper, sustainable supplier Selection and order allocation (SSS and OA) problem is managed based on a multiobjectivelinearprogramming (MOLP) model that incorporates sustainability dimensions. First, an interval type-2 fuzzy analytic hierarchy process (FAHP) method is applied for the main criteria and subcriteria to determine the weight of the selected criteria. Then, these values are used to convert the proposed MOLP model into a single-objective model. Findings The economic criterion (0.438) was the most important criterion for SSS in the agricultural machinery sector, followed by the social criterion (0.333) and the environmental criterion (0.229). Practical implications The results show that the proposed framework can be utilized by the agricultural machinery industry for SSS and OA. Originality/value The proposed framework provides to develop an integrated model by interval type-2 fuzzy sets for SSS and OA, taking into account the relationships between qualitative and quantitative evaluation criteria with different priorities. The validity of the developed model is confirmed by a case study of the agricultural machinery industry in Turkey.
The optimal components assignment problem in a flow network with node failure in the presence of system reliability and total lead-time constraints is studied in this paper. By using fuzzy membership functions, we for...
详细信息
The optimal components assignment problem in a flow network with node failure in the presence of system reliability and total lead-time constraints is studied in this paper. By using fuzzy membership functions, we formulated the problem as fuzzylinear optimization. Genetic optimization algorithm with fuzzy optimization is suggested for solving the presented problem. The suggested approach succeeded in finding an optimal solution that distinguishes with increasing reliability and minimizing total lead-time. The suggested technique is examined on various models, four nodes, six nodes, and eight nodes computer networks. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University.
Rapid economic growth and urbanization in China have led to significant changes in land use structure and seriously threatened the sustainability of urban ecosystems. A fuzzy multi-objective linear programming (FMLP) ...
详细信息
Rapid economic growth and urbanization in China have led to significant changes in land use structure and seriously threatened the sustainability of urban ecosystems. A fuzzy multi-objective linear programming (FMLP) model is developed in this paper to determine an optimal land use structure with social, economic and ecological benefits of lands considered comprehensively. Ecosystem service assessment is integrated into the FMLP model for emphasizing the ecological benefits of land use, and the uncertainty in the optimization process have been addressed. Wuhan is selected as a case study. The results indicate that (1) the relative equilibrium between economic and ecological benefits can be achieved by establishing the FMLP model. (2) The optimized land use structure can increase the ecosystem service value (ESV) at a lower cost of economic benefits. (3) The optimal land use allocation can contribute to a growth of ecological benefit by 1.51 billion RMB and economic benefit by 348.6 billion RMB compared to the government's land use planning. (4) The ESVs of 11 types of ecosystem service functions are all increased in varying degrees through land use structure optimization. (5) There are huge differences in economic and ecological benefits between the central and remote urban areas of Wuhan. The economic benefit is 603 folds of the ecological benefit in central urban area while the ESV in remote urban area is 25 folds of that of the central urban area in Wuhan. These findings could provide valuable decisionmaking support for the sustainable land use planning in Wuhan. The FMLP model is proven to be feasible and applicable for land use planning under uncertain conditions and thus could be applied to other cities with unbalanced land use structure.
To meet specific customer demands, many new materials and recyclable components must be mixed into the production process in order to minimize total manufacturing costs and total lead time. The lot-sizing production-t...
详细信息
To meet specific customer demands, many new materials and recyclable components must be mixed into the production process in order to minimize total manufacturing costs and total lead time. The lot-sizing production-to-order problem requires optimizing the lot size in the purchase and manufacture of required materials. This paper analyzes the relationships between new materials and recycled components with a specific purchase/ manufacturing cost, machine yield and capacity, and lead time. fuzzy multi-objective linear programming (FMOLP) is used to model relative cost-effectiveness and lead time, among various factors. The proposed model evaluates cost-effectiveness and lead time while integrating multiple products, multiple suppliers, multiple components and multiple machines for a remanufacturing production system. Decision makers and managers can use the analytical results of this work to improve their understanding of cost-effectiveness and lead time of recyclable remanufacturing planning.
This study develops a novel fuzzymulti-objective decision system (FMODS) that uses the Simplex method, Access database technology and the JAVA programming language, for recoverable product of remanufacturing planning...
详细信息
This study develops a novel fuzzymulti-objective decision system (FMODS) that uses the Simplex method, Access database technology and the JAVA programming language, for recoverable product of remanufacturing planning. The system can be used to determine optimal purchase quantities and lot release sizes to make decision system for remanufacturing planning more effective, more convenient and smarter. The system has both single-objectivelinearprogramming (SOLP) and fuzzy multi-objective linear programming (FMOLP) functions to help managers in practical situations. The results in this investigation indicate that the proposed FMODS has a very favorable solution time in cases of large demand, and can significantly shorten the production planning time.
Forest biomass energy enjoys merit of large production, renewability, and clean combustion. However, most related works focused on only the objective of minimization of cost or pollution, but seldom on the social aspe...
详细信息
Forest biomass energy enjoys merit of large production, renewability, and clean combustion. However, most related works focused on only the objective of minimization of cost or pollution, but seldom on the social aspect. Social enterprise provides business models that cope with social or environmental problems, e.g., offering employment opportunities in disadvantaged areas. Therefore, this work considers social enterprises and environmental uncertainties in a forest biomass-to-biofuel factory location problem with multiple objectives, which determines whether to open forest biomass-to-biofuel factories at their potential locations to meet the energy demand and other practical constraints. Aside from minimization of cost and carbon emissions, the concerned problem additionally considers the objective of maximizing the job offers provided by opening factories from the social enterprise aspect. Additionally, based on the fuzzy theory, this problem includes the following environmental uncertainties: uncertain number of inventory days, uncertain job offers per unit of surplus factory scale, uncertain biomass production amount, and uncertain biofuel demand due to the price fluctuation of fossil fuels. This work employs the GIS to determine candidate locations of acquiring forest biomass and opening factories, and then solves the problem by fuzzy multi-objective linear programming. Through simulation, we observe the conflict among objectives, compare the differences between the proposed method and previous methods, and analyze the key factors that affect practical implementation. Simulation results show that when the total biofuel demand exceeds 200 million liters per year, the proposed method provides 16% more job offers than the previous method that focused on only cost minimization. (c) 2020 Elsevier Ltd. All rights reserved.
暂无评论