Managing supplier delivery reliability risk under limited information: Foundations for a human-in-the-loop DSS |
Abstract:
The potential impact of suppliers' delivery reliability issues in many industries requires a proper decision support system (DSS) that allows decision makers to analyze and reduce the delay's detrimental effects. Despite the relevance of the topic, companies are often confronted with the lack of historical, quantitative data and knowledge about a supplier's performance (i.e., when selecting a new supplier). In this paper, we address the problem of the scarcity of quantitative data by considering and extending the human-in-the-loop DSS concept, which accounts for an expert's knowledge and experience. In our concept, a human expert is involved in making and revising data provided by a computational model, with the aim of supporting companies in making decisions when dealing with unreliable suppliers, in order to minimize the costs related to external discontinuities. To deal with scant quantitativ data, we developed a distribution-free model. Our findings positively support th distribution-free approach as an effective tool to be used when only a limited and perhaps unstructured base of data is available. The presented computational model aims at creating a solid foundation for developing a comprehensive human-in-the-loop decision support system. |
| Keywords: |
Delivery reliability Distribution-free Human-in-the-loop DSS Supply risk mitigation Limited information |
| Author(s): |
. |
| Source: |
Decision Support Systems 54 (2013) 1076–1084 |
| Subject: |
لجستیک |
| Category: |
مقاله مجله |
| Release Date: |
2013 |
| No of Pages: |
9 |
| Price(Tomans): |
0 |
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بر اساس شرایط و ضوابط ارسال مقاله در سایت مدیر، این مطلب توسط یکی از نویسندگان ارسال گردیده است. در صورت مشاهده هرگونه تخلف، با تکمیل فرم گزارش تخلف حقوق مؤلفین مراتب را جهت پیگیری اطلاع دهید.
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