دانلود مقاله ISI انگلیسی شماره 50505
ترجمه فارسی عنوان مقاله

انباشت موجود، اثر شلاق چرمی و بحران وام و اعتبار: مدل تجربی پویایی زنجیره ی عرضه

عنوان انگلیسی
Destocking, the bullwhip effect, and the credit crisis: Empirical modeling of supply chain dynamics
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
50505 2015 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : International Journal of Production Economics, Volume 160, February 2015, Pages 34–46

ترجمه کلمات کلیدی
دینامیک سیستم - اثر شلاق - هماهنگی زنجیره تامین - تصمیم گیری رفتاری در برنامه ریزی زنجیره تامین
کلمات کلیدی انگلیسی
System dynamics; Bullwhip effect; Supply chain coordination; Behavioral decision making in supply chain planning
پیش نمایش مقاله
پیش نمایش مقاله  انباشت موجود، اثر شلاق چرمی و بحران وام و اعتبار: مدل تجربی پویایی زنجیره ی عرضه

چکیده انگلیسی

In this paper we analyze the strong sales dip observed in the manufacturing industry at the end of 2008, following the bankruptcy of Lehman Brothers and the subsequent collapse of the financial world. We suggest that firms׳ desire to retain liquidity during these times prompted a reaction characterized by the reduction of working capital, which materialized as a synchronized reduction in target inventory levels across industries. We hypothesize that such a reaction effectively acted as an endogenous shock to supply chains, ultimately resulting in the bullwhip-effect kind of demand dynamics observed. To test this proposition we develop a system dynamics model that explicitly takes into account structural, operational, and behavioral parameters of supply chains aggregated at an echelon level. We calibrate the model for use in 4 different business units of a major chemical company in the Netherlands, all situated 4–5 levels upstream from consumer demands in their respective supply chains. We show that the model gives a very good historical fit of the sales developments during the period following the Lehman collapse. We test the model׳s robustness to behavioral parameter estimation errors through sensitivity analysis, and the de-stocking hypothesis against an alternative model. Finally, we observe that the empirical data is aligned with experimental observations regarding human behavioral mechanisms concerning target adjustment times.