Supplier selection plays a vital role in evolving an effective supply chain and the overall performance of organisations. Choosing suppliers may involve different levels arranged in a hierarchical structure. Decisions are made successively starting from the first level to the last level. Decision variables are partitioned between different levels and are called controlling factors. In the paper, we propose a multilevel supplier selection problem with uncertain or fuzzy demand and supply. Since objectives may be conflicting in nature, possible relaxations in the form of tolerances are provided by the upper level decision makers to avoid decision deadlocks. We use (linear) membership functions to fuzzily describe objective functions, as well as the controlling factors, and generate satisfactory solutions. We extend and present an approach to solving multilevel decision making problems when fuzzy constraints are employed. Different scenarios are constructed within a numerical illustration, based on the selection of controlling factors by the upper level decision makers.
W artykule skupiono się na omówieniu zagadnienia oceny i wyboru dostawców. Przedstawiono podstawowy przegląd literatury badanego obszaru, zdefiniowano fazy procesu oceny i wyboru dostawców będące podstawą podziału metod oceny dostawców wykorzystywanych w praktyce.
EN
In the paper, there is discussed supplier selection problem. Moreover, there is presented basic literature review in this research area. The phases of supplier selection process are defined as a basis for supplier selection methods classification.
W artykule skupiono się na omówieniu zagadnienia oceny i wyboru dostawców. Na wybranym przykładzie przedsiębiorstwa produkcyjnego pokazano możliwości zastosowania wybranych metod oceny i wyboru dostawcy.
EN
In the paper, there is discussed supplier selection problem. The focus is on investigation of the example of chosen manufacturing company is shown providing the possibilities of few supplier selection methods implementation.
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Purpose: The problem includes the three objective functions: minimizing the total cost, the net rejected items and the inverse total value of purchasing (TVP), while satisfying capacity and demand requirement constraints. Design/methodology/approach: The model is established for supplier selection problem and later the proposed single objective model is used to calculate the optimum order quantities among the selected suppliers. A numerical example is given to illustrate how the model is applied. Findings: In this article, we proposed a single objective function to solve the fuzzy multi-item multi-objective model in order to calculate the optimum order quantities to each supplier. Practical implications: Single objective function, which is able to consider the relative importance of the goals, is proposed to solve the model. A numerical example is given to illustrate how the model is applied. Originality/value: This approach is able to help the DM evaluate the suppliers in order to find out the appropriate order to each them, and allows purchasing manager(s) to manage supply chain performance on service, cost, quality and etc. the suppliers price breaks, which depend on the sizes of order quantities, affects the selection process.
Ocena i wybór dostawców jest jednym z najbardziej istotnych problemów w przedsiębiorstwie. Zależność organizacji od dostawców staje się bardziej złożona, a bezpośrednie i pośrednie konsekwencje błędnie podjętych decyzji w coraz większym stopniu wpływają na jej działalność. Problem wyboru dostawców jest wielokryterialnym problemem decyzyjnym. W artykule przedstawiono zastosowanie metody Data Envelopment Analysis (DEA) w procesie oceny i wyboru dostawców na wybranym przykładzie.
EN
One of the most important In purchasing research that Has significant practical implications is the supplier evaluation and selection. As organizations become more dependent on suppliers the direct and indirect consequences of poor decision making become more severe. A supplier selection problem is inherently a multi-decision problem. The paper proposes the usage of the Data Envelopment Analysis (DEA) method for supplier selection. A case study is than presented.
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