模糊情况下供应商选择问题多层次决策模型的中性规划方法

A. Adhami, Anas Melethil, F. Ahmad
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引用次数: 0

摘要

在供应链管理中,供应商的选择是至关重要的,对组织的绩效起着重要的作用。采用分层结构,在供应商选择中具有不同的层次,其中从最高到最低的层次进行顺序决策。被称为控制因素的决策变量分为几类。在决策过程中,往往由于缺乏信心或不确定性,决策者很难对任何参数给出明确/清晰的值,从而导致问题的不确定性。本文研究了一个具有模糊供需关系的多层次供应商选择问题。为了避免决策冲突,上级或上级决策者给出了可作为可能的放松的容忍度。因此,该问题具有模糊约束。在中性决策集的基础上,采用中性妥协规划方法(NCPA)作为一种求解方法,该方法以不确定度为思想,对隶属度和非隶属度设定不同的目标。利用隶属函数(线性型)模糊描述目标函数和控制因素,得到满意的解。最后,通过一个算例说明了NCPA的有效性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neutrosophic programming approach to multilevel decision-making model for supplier selection problem in a fuzzy situation
In supply chain management, the selection of supplier is of vital importance, and plays a valuable role in the performance of organizations. A hierarchical structure, with different levels in the selection of suppliers, is employed, wherein sequential decisions are made from the highest to the lowest level. Decision variables, called controlling factors, are divided into several categories. In the decision-making process, often because of the lack of confidence or uncertainty, It becomes hard for decision-makers to give explicit/crisp values to any parameter, resulting in uncertainty in the problem. In this paper, we address a multi-level supplier selection problem with fuzzy supply and demand. To avoid decision conflicts, superior or upper-level decision makers give tolerances that could be used as a possible relaxation. Thus, the problem is employed with fuzzy constraints. Based on a neutrosophic decision set, the Neutrosophic Compromise Programming Approach (NCPA) is used as a solution technique with the idea of indeterminacy degree as well as different objectives for membership and non-membership degree. Membership functions (Linear-type) are used to develop satisfactory solutions by fuzzily describing objective functions as well as controlling factors. A numerical illustration is provided to demonstrate the validity and appropriateness of NCPA.
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