Abstract
The supplier selection and order allocation are two key strategic decisions in purchasing problem. The review presented in this paper focuses on the supplier selection problems (SSP) and order allocation from year 2000 to 2017 in which a new structure and classification of the existing research streams and the different MCDM methods and mathematical models used for SSP will be presented. The review was examined in three aspects: the summaries of the existing evidence concerning the problems, the identification of gaps in the current research to help determine where further investigation might be needed and positioning new research activities.
Highlights
The supplier selection problem (SSP) is a procurement decision-making problem that consists of the definition of methods and the models to analyze and measure the performance of a set of suppliers in order to improve customer’s competitiveness
We provided a bibliography of 270 published papers in order to answer the following questions: which journals are mostly touched on this problem? Which multi-criteria decisionmaking methods are frequently applied in the process of supplier selection? Which mathematical models are prevalently used to formulate the supplier selection and order allocation problem? Which techniques are frequently used to solve these models? What are the limitations of these methods and models?
This paper attempted to review papers published in the period 2000–2017 about supplier selection and order allocation issues
Summary
The supplier selection problem (SSP) is a procurement decision-making problem that consists of the definition of methods and the models to analyze and measure the performance of a set of suppliers in order to improve customer’s competitiveness This decision is more complex because the diversity of quantitative and qualitative criteria assigns on evaluation and decision-making process. Journal of Industrial Engineering International (2019) 15 (Suppl 1):S267–S289 meaningful information concerning this subject This new classification seeks to identify any new trends in this field and highlight any gaps that would benefit from future research efforts, including MCDM methods and optimization models. This survey aims to enhance our ability to discover important knowledge in this large number of literature. Section “Observations and remarks” presents an observation and discussion about the most prevalently used methods and journals by years
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