مدیریت توزیع زنجیره تامین با استفاده از بهینه سازی کلونی مورچگان
چکیده:Successful supply chain management requires a cooperative integration between all the partners in the
network. At the operational level, the partners individual behavior should be optimal and therefore their
activities have to be planned using sophisticated optimization tools. However, these tools should take
into account the planning of the remaining partners, through the exchange of information, in order to
allow some kind of cooperation between the elements of the chain. This paper introduces a new supply
chain management technique, based on modeling a generic supply chain with suppliers, logistics and distributers,
as a distributed optimization problem. The different operational activities are solved by the
optimization meta-heuristic called ant colony optimization, which allows the exchange of information
between different optimization problems by means of a pheromone matrix. The simulation results show
that the new methodology is more efficient than a simple decentralized methodology for different
instances of a supply chain
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مقاله انگلیسی
یکپارچه سازی زنجیره تامین و عملکرد اثر روابط بلند مدت ، فناوری اطلاعات و به اشتراک گذاری و تدارکات
Supply chain integration and performance: The effects of long-term
relationships, information technology and sharing, and logistics integration
چکیده:Supply chain integration is widely considered by both practitioners and researchers a vital contributor
to supply chain performance. The two key flows in such relationships are material and information.
Previous studies have addressed information integration and material (logistics) integration in separate
studies. In this paper, we investigate the integrations of both information and material flows between
supply chain partners and their effect on operational performance. Specifically, we examine the role of
long-term supplier relationship as the driver of the integration. Using data from 232 Australian firms,
we find that logistics integration has a significant effect on operations performance. Information
technology capabilities and information sharing both have significant effects on logistics integration.
Furthermore, long-term supplier relationships have both direct and indirect significant effects on
performance; the indirect effect via the effect on information integration and logistics integration.
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مقاله انگلیسی:یکپارچه سازی زنجیره تامین و عملکرد اثر روابط بلند مدت ، فناوری اطلاعات و به اشتراک گذاری و تدارکات ادغام
روش پیش بینی تقاضا بهبود به منظور کاهش اثر شلاق چرمی در زنجیره تامین
An improved demand forecasting method to reduce bullwhip effect in
supply chains
]چکیده:
Accurate forecasting of demand under uncertain environment is one of the vital tasks for improving supply
chain activities because order amplification or bullwhip effect (BWE) and net stock amplification
(NSAmp) are directly related to the way the demand is forecasted. Improper demand forecasting results
in increase in total supply chain cost including shortage cost and backorder cost. However, these issues
can be resolved to some extent through a proper demand forecasting mechanism. In this study, an integrated
approach of Discrete wavelet transforms (DWT) analysis and artificial neural network (ANN)
denoted as DWT-ANN is proposed for demand forecasting. Initially, the proposed model is tested and validated
by conducting a comparative study between Autoregressive Integrated Moving Average (ARIMA)
and proposed DWT-ANN model using a data set from open literature. Further, the model is tested with
demand data collected from three different manufacturing firms. The analysis indicates that the mean
square error (MSE) of DWT-ANN is comparatively less than that of the ARIMA model. A better forecasting
model generally results in reduction of BWE. Therefore, BWE and NSAmp values are estimated using a
base-stock inventory control policy for both DWT-ANN and ARIMA models. It is observed that these
parameters are comparatively less in case of DWT-ANN model
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مقاله انگلیسی