Because of its unique decentralization, encryption, reliability, and tamper-proof, the block chain system makes smart contracts break through the shackles of the lack of trusted environment, and its application field keeps expanding. We read the source code and official documents of Bitcoin, Ethereum, and Hyperledger to explore the operation principle and implementation mode of smart contract. By analyzing the evolution process of smart contracts in blockchain and the sequence of its function expansion, according to the multirole business process of supply chain, we design a semipublic smart contract chain model based on Ethereum and Hyperledger in order to provide useful inspiration and help for the future research of smart contracts in blockchain applied in supply chain.
Contact center is a development trend of call center. The aim that enterprises and governments organize their contact centers is to offer convenient and quick service forms such as telephone, email and fax communicating with their users. A service quality, which is too low, will decrease their credit and even cause losses. Thus, contact centers must offer high-quality service. But cost of service has to be considered, especially, cost of staffing. Hence, the service quality of the planned staff scheduling must be monitored such that it can run smoothly. But it is a challenge because the randomness of arrival of jobs and abandonment of impatient customers has to be considered. In this paper we present a strategy of service quality monitoring by introducing engineering process control (EPC), an effective tool of quality monitoring, to contact centers. The service quality is measured by service level (SL), taking the fraction of jobs completed whose time in queue is shorter than a given threshold, and probability to abandon (PA), the fraction that abandons while waiting, together. The method is implemented by fore-setting bounds for SL and PA. We adjust the service quality only if any of the forecasts for SL and PA is out of the bounds.
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