C4.5: Programs for Machine Learning (書評)

The Sage Encyclopedia of Qualitative Research Methods

The article reviews the book “Information Rules: A Strategic Guide to the Network Economy,” by Carl Shapiro and Hal R. Varian.

Information Rules: A Strategic Guide to the Network Economy

(1991). Soft Systems Methodology in Action. European Journal of Information Systems: Vol. 1, No. 3, pp. 215-216.

https://link.springer.com/content/pdf/10.1057%2Fejis.1991.37.pdf

Soft Systems Methodology in Action

Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art

An Internet based supply chain simulation game (ISCS) is introduced and demonstrated in this paper. Different from other games and extended from the Beer game, a comprehensive set of supply chain (SC) management strategies can be tested in the game, and these strategies can be evaluated and appraised based on the built-in management information system (MIS). The key functionalities of ISCS are designed to increase players' SC awareness, facilitate understanding on various SC strategies and challenges, foster collaboration between partners, and improve problem solving skills. It is concluded that an ISCS can be used as an efficient and effective teaching tool as well as a research tool in operations research and management science. Problems and obstacles have been observed while engaging in the SC business scenario game. The actions proposed and implemented to solve these problems have resulted in improved SC performance.

/pdf/learning-and-practising-supply-chain-management-strategies-3fxp6d2x1y.pdf

Learning and practising supply chain management strategies from a business simulation game: a comprehensive supply chain simulation

Service capacity procurement of logistics service supply chain with demand updating and loss-averse preference

This special issue explores original practices and applications in Smart Supply Chains (SSCs) and Intelligent Logistics Services (ILSs), inviting academics to contribute a better understanding of SSCs and ILSs in tandem with advanced OR methods. This editorial summarizes discussions and major findings from the featured papers in SSCs and ILSs, including the studies exploring the impacts of government policy, process optimization, system design, and the choice of strategies and so on.

Special issue editorial: Smart supply chains and intelligent logistics services

A simple dynamic model of a hybrid manufacturing/remanufacturing system is developed. In particular the model is used to study an infinite horizon, continuous time, APIOBPCS (automatic pipeline inventory and order based production control system) model. We specifically highlight the effect of remanufacturing lead-time and the return rate on the bullwhip produced by the ordering policy. Our results clearly show that a larger return rate leads to less bullwhip, thus returns can be used to absorb demand fluctuations to some extent. Longer remanufacturing lead-times have less impact at reducing bullwhip than shorter lead-times. We conclude, within our specified system, that bullwhip is always less with returns than without returns.

/pdf/reverse-logistics-a-study-of-bullwhip-in-continuous-time-4x0h94k3t9.pdf

Reverse logistics: a study of bullwhip in continuous time

This paper aims to analyze the green efficiency performance of the logistics industry in China’s 30 provinces from 2008 to 2017. We first evaluate the green efficiency of the logistics industry through the non-directional distance function method. Then, we use the functional clustering method funHDDC, which is one of the popular machine learning methods, to divide 30 provinces into 4 clusters and analyze the similarities and differences in green efficiency performance patterns among different groups. Further, we explore the driving factors of dynamic changes in green efficiency through the decomposition method. The main conclusions of this paper are as follows: (1) in general, the level of green efficiency is closely related to the geographical location. From the clustering results, we can find that most of the eastern regions belong to the cluster with higher green efficiency, while most of the western regions belong to the cluster with lower green efficiency. However, the green efficiency performance in several regions with high economic levels, such as Beijing and Shanghai, is not satisfactory. (2) Based on the analysis of decomposition results, the innovation effect of China’s logistics industry is the most obvious, but the efficiency change still needs to be improved, and technical leadership should be strengthened. Based on these conclusions, we further propose some policy recommendations for the green development of the logistics industry in China.

/pdf/green-efficiency-performance-analysis-of-the-logistics-37gxuthwmf.pdf

Li Zhou

Papers

Learning and practising supply chain management strategies from a business simulation game: a comprehensive supply chain simulation

Service capacity procurement of logistics service supply chain with demand updating and loss-averse preference

Special issue editorial: Smart supply chains and intelligent logistics services

Reverse logistics: a study of bullwhip in continuous time

Green efficiency performance analysis of the logistics industry in China: based on a kind of machine learning methods