TY - JOUR
T1 - A new goal-directed benchmarking for supplier selection in the presence of undesirable outputs
AU - Azadi, Majid
AU - Saen, Reza Farzipoor
AU - Zoroufchi, Kamyar Hosseinzadeh
PY - 2014/4
Y1 - 2014/4
N2 - Purpose: In this paper, the authors extend the goal-directed benchmarking theory proposed by Stewart for benchmarking and selecting suppliers. This extension is in recognition of the fact that benchmarking for suppliers is more than a pure monitoring process and includes a component of future planning. The paper aims to discuss these issues. Design/methodology/approach: In this paper, the proposed model utilizes a goal programming structure to find points on the efficient frontier which are realistically attainable by suppliers in the presence of undesirable outputs, but at the same time achieving a closer method to long-term organizational goals (as distinct from the local performance of individual suppliers). Findings: The contributions of the current paper are as follows: the proposed model considers undesirable outputs in the context of goal-directed benchmarking. The proposed model does not demand weights from the decision maker. The proposed model can be easily computerized, enabling it to serve as a decision making tool to assist decision makers. For the first time, the proposed model is applied for the supplier selection and benchmarking. Originality/value: To the best of knowledge of the authors, there is not any reference that discusses supplier selection problem and benchmarking in the presence of undesirable outputs in the context of goal-directed benchmarking.
AB - Purpose: In this paper, the authors extend the goal-directed benchmarking theory proposed by Stewart for benchmarking and selecting suppliers. This extension is in recognition of the fact that benchmarking for suppliers is more than a pure monitoring process and includes a component of future planning. The paper aims to discuss these issues. Design/methodology/approach: In this paper, the proposed model utilizes a goal programming structure to find points on the efficient frontier which are realistically attainable by suppliers in the presence of undesirable outputs, but at the same time achieving a closer method to long-term organizational goals (as distinct from the local performance of individual suppliers). Findings: The contributions of the current paper are as follows: the proposed model considers undesirable outputs in the context of goal-directed benchmarking. The proposed model does not demand weights from the decision maker. The proposed model can be easily computerized, enabling it to serve as a decision making tool to assist decision makers. For the first time, the proposed model is applied for the supplier selection and benchmarking. Originality/value: To the best of knowledge of the authors, there is not any reference that discusses supplier selection problem and benchmarking in the presence of undesirable outputs in the context of goal-directed benchmarking.
KW - Benchmarking
KW - Data envelopment analysis
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U2 - 10.1108/BIJ-01-2012-0004
DO - 10.1108/BIJ-01-2012-0004
M3 - Article
AN - SCOPUS:84897053608
SN - 1463-5771
VL - 21
SP - 314
EP - 328
JO - Benchmarking
JF - Benchmarking
IS - 3
ER -