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دسته بندی:
زنجیره تامین - supply chain
سال انتشار:
2017
عنوان انگلیسی مقاله:
A quantitative model for disruption mitigation in a supply chain
ترجمه فارسی عنوان مقاله:
یک مدل کمی برای کاهش ضعف در یک زنجیره تامین
منبع:
Sciencedirect - Elsevier - European Journal of Operational Research, 257 (2017) 881-895. doi:10.1016/j.ejor.2016.08.035
نویسنده:
Sanjoy Kumar Paul a,∗, Ruhul Sarker b, Daryl Essam
چکیده انگلیسی:
In this paper, a three-stage supply chain network, with multiple manufacturing plants, distribution cen
ters and retailers, is considered. For this supply chain system we develop three different approaches, (i)
an ideal plan for an infinite planning horizon and an updated plan if there are any changes in the data,
(ii) a predictive mitigation planning approach for managing predictive demand changes, which can be
predicted in advance by using an appropriate tool, and (iii) a reactive mitigation plan, on a real-time
basis, for managing sudden production disruptions, which cannot be predicted in advance. In predictive
mitigation planning, we develop a fuzzy inference system (FIS) tool to predict the changes in future de
mand over the base forecast and the supply chain plan is revised accordingly well in advance. In reactive
mitigation planning, we formulate a quantitative model for revising production and distribution plans,
over a finite future planning period, while minimizing the total supply chain cost. We also consider a
series of sudden disruptions, where a new disruption may or may not affect the recovery plans of earlier
disruptions and which consequently require plans to be revised after the occurrence of each disruption
on a real-time basis. An efficient heuristic, capable of dealing with sudden production disruptions on
a real-time basis, is developed. We compare the heuristic results with those obtained from the LINGO
optimization software for a good number of randomly generated test problems. Also, some numerical
examples are presented to explain both the usefulness and advantages of the proposed approaches.
Keywords: Supply chain | Mitigation | Production disruption | Quantitative model | Heuristic
قیمت: رایگان
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