Current Issue : July - September Volume : 2017 Issue Number : 3 Articles : 5 Articles
In productive enterprises, timely preparation and procurement of goods is very important due to that related costs to\nthe production and working capitals of organization is severely affected. In available scientific methods, including MRP,\nregardless of resource constraints and other factors, the amount of lead time of goods have always considered to be\nfixed. In this paper, then a model will present that lead time of goods is considered as dynamic by using statistical and\nalso effectiveness models from internal and external environment variables of organization and optimized the cost of\nproduction in order to reduce the latency in timely receiving and balancing the warehousing time. At the end, researcher\nwith the implementation of issue in a simulated environment and compare it with the real environment, shows the\nadvantage of proposed model compared to other models by numbers and figures....
The purpose of this paper is to develop a business model using analytical tools to\ngenerate quantitative evidence of the benefits of implementing an effective supply chain to\nassure the success of the organization in a highly competitive environment, limiting the\nscope to Egyptian SMEs.Design/methodology/approach: The study primarily uses a\nmixed methods approach; including semi-structured interview that was conducted to\nEgyptian SMEs and the data collected we reanalyzed using the Unified Modeling Language\ntechnique which provides an effective object oriented modeling tool that could be an\nappropriate analysis tool in the SMEs that operate in Egypt. Findings: The analysis showed\nhow the supply chain was defined by Egyptian SMEs; it also mapped the current\nperformance of the supply chain in order to understand the process�s characteristics and\ncapabilities. The result shows the obstacles and constrains facing the supply chain of the\nSME. Originality/value: Many SMEs in the Egyptian environment will be impacted as this\nresearch develops a model that suits them. The use of a Case Study approach with an object\noriented tool, namely UML, makes this a thorough investigation that helps decision makers\nin Egyptian SMEs make better informed decisions.SMEs do not use the object oriented\ntechniques in evaluating their problems, although it is very useful in analyzing the case\nstudy and modeling the current situation of the supply chain....
The fast development of e-commerce has provoked cutthroat competition between tour wholesalers and\nretailers. This study explores and empirically examines the correlations among retailers� e-transaction satisfaction,\ninterpersonal relationships, switching barriers, and repurchase intentions under the burgeoning e-commerce of\nTaiwan�s travel agencies. To achieve the objectives of this study, we adopt a Delphi research design. This research\nis quite innovative in that no related studies in the literature have analyzed nor tried to explore these linking factors\nfor travel agency e-commerce. We also propose an optimal B2B transaction model that matches the essential\ndevelopment needs of B2B commerce transactions...
This report has worked to characterize the way in which the contemporary retail environment is privileging\nthe omnichannel supply chain for consumer product goods (CPG) retailers. The most accepted supply chain\nconfigurations such as multi-channel supply chains all integrate the established use of distribution centers and hub\nconfigurations in the logistics field. However, as this report indicates, CPG retailers are developing more emergent\nsupply chain configurations that integrate different modalities. Furthermore, these modalities are extending the\nsupply chain directly to the consumer�s front door. These developing supply chain configurations for CPG retailers\nare referred to as omnichannel supply chains and they depend upon both in-house and 3rd party providers to institute\nsame-day and next-day delivery services. Also, some major retailers such as Amazon are developing drone delivery\nmodalities and technology companies like Google are not far behind. The report finds that such efforts are designed\nto respond to emerging consumer behaviors and purchase patterns such as showrooming . Therefore, CPG retailers\nmust now identify ways in which their marketing initiatives respond to these emergent omnichannel attributes. These\nmarketing initiatives must be able to integrate considerations made for how products might be packaged, product\ndesign factors such as weight and form, and also messaging elements that are directed at the consumer. Consumer\nmessaging in particular must reflect the purchase-advantages gained by the omnichannel for the consumer such as\nconvenience, free-shipping when offered and originality or first-mover status of the delivery modality. This report�s\nfindings suggest that all of these types of factors affect not necessarily whether or not a CPG retailer chooses\nimplement an omnichannel distribution configuration but whether or not the CPG retailer can afford not do so.\nThis report makes the recommendation that CPG retailers that are intent on implementing an omnichannel supply\nchain and logistics technologies that integrate same-day/next-day delivery can enhance these outcomes through the\nmarketing function. This can be accomplished by notifying the consumer of a delivery through the use of image or\nvideo confirmation of the CPG delivery and in the case of future drone deliveries, integration of satellite imagery and\nGPS mapping as a means to confirm the practicality of drone drop-offs at a targeted consumer residence....
With the development of economic globalization and financial liberalization,\ncredit assessment plays an important role in maintaining the normal relationship\nof social economy. Personal credit assessment requires establishing\ncalibration models with statistic methods. The mono-method-based models\nare not capable to simultaneously hold the robustness, interpretation and prediction\naccuracy of the models. In this paper, back-propagation neural network\n(BPNN) was used to generate a new comprehensive variable for logistic\nregression (LR) by tuning the number of hidden nodes. The optimal backpropagation\nneural network-logistic regression combination model (BPNNLR)\nwas established with 5 input nodes, 7 hidden nodes and 1 output node.\nThe model performance was slightly improved. The prediction accuracy was\nraised up to 86.33% and 87.96% for the training samples and the test samples,\nrespectively. Results showed that the BPNN-LR model had higher classification\naccuracy than the LR model. It is concluded that the outcome performance\nprovides technical reference for the corporation�s decision making....
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