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1992
In demographic research, we often face situations where the dependent variable of interest is a dichotomy, such as dead or alive, divorced or still in marriage, accept or reject contraception, and so forth. In recent years, logistic regression has been used to study topics as diverse as marital formation and dissolution (Abdelrahman and Morgan, 1987 ...
K. Vaninadha Rao, Shiva S. Halli
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In demographic research, we often face situations where the dependent variable of interest is a dichotomy, such as dead or alive, divorced or still in marriage, accept or reject contraception, and so forth. In recent years, logistic regression has been used to study topics as diverse as marital formation and dissolution (Abdelrahman and Morgan, 1987 ...
K. Vaninadha Rao, Shiva S. Halli
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1997
The vehicle routing models discussed in Part II assume that the frequency, timing and sizes of customer deliveries are predetermined. There are however many distribution problems in which the vehicle schedules and the timing and size of the customer deliveries are (or should be) simultaneously determined.
Julien Bramel, David Simchi-Levi
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The vehicle routing models discussed in Part II assume that the frequency, timing and sizes of customer deliveries are predetermined. There are however many distribution problems in which the vehicle schedules and the timing and size of the customer deliveries are (or should be) simultaneously determined.
Julien Bramel, David Simchi-Levi
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2011
Logistic model is widely used growth model with many useful properties for technological and market development forecasting. The chapter presents developed modifications of the model that are suitable for particular cases of new product adoption forecasting. Limitations of the logistic model are shown and discussed.
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Logistic model is widely used growth model with many useful properties for technological and market development forecasting. The chapter presents developed modifications of the model that are suitable for particular cases of new product adoption forecasting. Limitations of the logistic model are shown and discussed.
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Modeling the Logistic Objectives
2011According to a well-known and perhaps already worn out saying from publications on management, one can only control what one can measure. This prerequisite holds true for the targeted control of logistic objectives, however, it alone is not enough.
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Monitoring models for logistics
2012Companies are demanding improved transparency of their order status, inventory, and shipments across the supply chain. This paper describes the main aspects of monitoring goods in freight transport including the drivers and concepts for monitoring, the models for tracking and data collection as well as related state-of-the-art technologies.
Permala, Antti +3 more
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, 2018