Supplier selection decision support model: a case study of giant hypermarket in Selangor / Raja Nazim Raja Abdullah

UNSPECIFIED (2016) Supplier selection decision support model: a case study of giant hypermarket in Selangor / Raja Nazim Raja Abdullah. In: UNSPECIFIED (ed.) The Doctoral Research Abstracts. IGS Biannual Publication, 10 (10). Institute of Graduate Studies, UiTM, Shah Alam.

Abstract

Increased global competitiveness in supply chain foresees the significance of supplier selection with radical changes in decision-making process. Uncertain situation in purchasing, such as supplier selection, makes hypermarket relies on multiple criteria to make decision. Recent approaches of supplier selection implemented by hypermarket are still practicing a traditional decision-making process, using experience and personal judgment to decide on the supplier. Conflict of interest occurred when personal history is influenced by individual decision by decision makers. Hence, there are four types of multi criteria decision-making (MCDM) methods to solve decision problem and one of the decision models under MCDM is analytical hierarchy process (AHP), developed by Saaty (1980), is a tool for decision-making process continuously be the extensively decision-making theory to be employed. AHP has been widely exercised in solving decision problems. However, AHP tools are still lacking in performance and there are issues regarding supplier selection decision-making have been identified. This study introduced a multidisciplinary approach to operational decision support model applied to Giant hypermarket to provide the decision maker with a systematic decision making process…

Metadata

Item Type: Book Section
Subjects: H Social Sciences > HF Commerce > Customer services. Customer relations
Divisions: Universiti Teknologi MARA, Shah Alam > Institut Pengajian Siswazah (IPSis) : Institute of Graduate Studies (IGS)
Series Name: IGS Biannual Publication
Volume: 10
Number: 10
Keywords: Abstract; Abstract of thesis; Newsletter; Research information; Doctoral graduates; IPSis; IGS; UiTM;
Date: 2016
URI: https://ir.uitm.edu.my/id/eprint/20063
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