Selection of raw material supplier for cold-rolled mild steel manufacturing industry

Q3 Mathematics
A. Kamble, P. Kalos, K. Mahapatra, V. A. Bhosale
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引用次数: 1

Abstract

Appropriate supplier selection is important in success of every manufacturing industry. Improper supplier selection causes an adverse impact on functioning and development of any organization. Evaluating available suppliers and selecting most suitable supplier is very important task of procurement management. Theses selection problems can be solve using decision making methods. These methods are used to find most preferred alternative from given set of alternatives based on different attributes. The aim of the present work is to select raw material supplier for cold-rolled mild steel manufacturing industry using selected three decision making methods such as complex proportional assessment, operational competiveness rating analysis and preference selection index, etc. The selection is made among five suppliers based on five attributes viz: performance rating, productivity, yield, cost and lead time. The analytical hhierarchy process is used for determining weight of the attributes based on relative importance of each attribute which can have a great impact on the final solution. It is found from the ranks obtained using selected three methods that supplier S1 is best and supplier S5 is worst among the others alternatives. It is also observed that the rankings of suppliers has some deviations in the rankings due to different mathematical approaches used in these three selected methods. The proposed methods help to evaluate and rank different raw material suppliers for manufacturing industries.
冷轧低碳钢制造行业原料供应商选择
选择合适的供应商对于每一个制造业的成功都是至关重要的。供应商选择不当会对任何组织的运作和发展产生不利影响。评估可用供应商并选择最合适的供应商是采购管理的一项重要任务。这些选择问题可以用决策方法来解决。这些方法用于根据不同的属性从给定的一组备选方案中找到最受欢迎的备选方案。本文采用复杂比例评价、经营竞争力评级分析和偏好选择指数等三种决策方法,对冷轧低碳钢制造业原材料供应商进行选择。在五个供应商之间进行选择是基于五个属性,即:绩效评级,生产力,产量,成本和交货时间。根据对最终解有较大影响的各属性的相对重要性,采用层次分析法确定各属性的权重。从选择的三种方法得到的排名中发现,在其他备选方案中,供应商S1是最好的,供应商S5是最差的。我们还观察到,由于所选择的三种方法采用的数学方法不同,供应商的排名在排名中存在一定的偏差。所提出的方法有助于对制造业的不同原材料供应商进行评估和排序。
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来源期刊
CiteScore
2.00
自引率
0.00%
发文量
19
审稿时长
16 weeks
期刊介绍: The International Journal for Simulation and Multidisciplinary Design Optimization is a peer-reviewed journal covering all aspects related to the simulation and multidisciplinary design optimization. It is devoted to publish original work related to advanced design methodologies, theoretical approaches, contemporary computers and their applications to different fields such as engineering software/hardware developments, science, computing techniques, aerospace, automobile, aeronautic, business, management, manufacturing,... etc. Front-edge research topics related to topology optimization, composite material design, numerical simulation of manufacturing process, advanced optimization algorithms, industrial applications of optimization methods are highly suggested. The scope includes, but is not limited to original research contributions, reviews in the following topics: Parameter identification & Surface Response (all aspects of characterization and modeling of materials and structural behaviors, Artificial Neural Network, Parametric Programming, approximation methods,…etc.) Optimization Strategies (optimization methods that involve heuristic or Mathematics approaches, Control Theory, Linear & Nonlinear Programming, Stochastic Programming, Discrete & Dynamic Programming, Operational Research, Algorithms in Optimization based on nature behaviors,….etc.) Structural Optimization (sizing, shape and topology optimizations with or without external constraints for materials and structures) Dynamic and Vibration (cover modelling and simulation for dynamic and vibration analysis, shape and topology optimizations with or without external constraints for materials and structures) Industrial Applications (Applications Related to Optimization, Modelling for Engineering applications are very welcome. Authors should underline the technological, numerical or integration of the mentioned scopes.).
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