Understanding value creation in closed loop supply chains – Past findings and future directions

The topic of value creation through the recovery of returned products in closed loop supply chains is scattered across various bodies of literature. We undertake a systematic literature review of 144 articles in relevant green, reverse and closed loop supply chain literature to synchronize existing knowledge on value creation. Value manifestations of four types of value, namely economic, environmental, information and customer value, are identified. Value adding concepts from the forward- and reverse supply chain may leverage the process of value creation. They are classified into six subclasses, namely partnerships and collaboration, product design characteristics, service concepts, IT solutions, supply chain processes and organizational characteristics. We present a conceptual framework on a strategic level. In this way companies can create competitive advantages by closing the loop. The results of the literature analysis suggest avenues for future research on the operational and strategic level.     

Does decision quality (always) increase with the size of information samples? Some vicissitudes in applying the law of large numbers.

Adaptive decision making requires that contingencies between decision options and their relative assets be assessed accurately and quickly. The present research addresses the challenging notion that contingencies may be more visible from small than from large samples of observations. An algorithmic account for such a seemingly paradoxical effect is offered within a satisficing-choice framework. Accordingly, a choice is only made when the sample contingency describing the relative evaluation of the 2 options exceeds a critical threshold. Small samples, because of the high dispersion of their sampling distribution, facilitate above-threshold contingencies. Across a broad range of parameters, the resulting small-sample advantage in terms of hits is stronger than their disadvantage in false alarms. Computer simulations and experiments support the model predictions. The relative advantage of small samples is most apparent when information loss is low, when the threshold is high relative to the ecological contingency, and when the sampling process is self-truncated. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

RFID电子门票解决方案(三)

继第二、三期的专题连载(一)和(二)之后,这次介绍门票系统的扩展和系统的优势,并且给出了各种门票的对比表。     

生物包粒的分类与命名——兼论徐州大北望中下寒武统生物包粒特征

对于碳酸盐岩中由生物及生物化学作用形成的具有同心或放射结构的异化颗粒(生物包粒),已为人们所熟悉,但目前还没有统一的分类与命名。本文在研究徐州大北望中下寒武统生物包粒特征的基础上,结合已有研究成果,对由生物及生物化学作用形成的具有同心或放射状内部结构的碳酸盐颗粒,按其粒度和形成颗粒的生物类型不同进行分类命名,提出分类命名的原则。     

隔河岩水电厂220 kV线路保护配置及运行分析

介绍了隔河岩电厂220kV线路保护的原理设计及运行情况，以及采用了双重微机化继电保护装置后带来的优越性，简要描述了CSL-101A高频保护和RCS-931A光纤保护的应用特点。     

土壤源热泵原理及工程实例介绍

简述土壤源热泵基本工作原理、埋管形式、优势及实用性,工程实例介绍北京九华山庄二期土壤热泵系统的设计、施工、调试情况,阐述了选择复合式系统的理由。     

臭氧法水处理在空调冷却水系统中的应用

探讨了臭氧法杀菌灭藻，缓蚀，阻垢的机理，认为臭氧法可用于空调冷却水处理，并给出在工程设计中的应用方法。     

离子静电水处理技术在循环冷却水中的应用

简要介绍了离子静电水处理技术杀菌、灭藻、防垢阻垢的机理，及在循环冷却水系统中的应用情况。     

A study on the critical success factors for corporations embarking on knowledge community-based e-learning

Corporations have felt the pressure for fast-paced innovations and knowledge transfer as major driving forces in raising their sustainable competitive advantage and organizational total productivity. Thus, the development of the knowledge community through e-learning is an important strategy in implementing knowledge management policy. This paper illustrates an empirical study with which to conduct qualitative research of learning organization. From the case company’s real progress and practical experience, some core principles were extracted from four managerial aspects, such as: strategy, technology, process, and personnel. These aspects were analyzed in order to understand the value chain framework and the major concerns of knowledge community development. Further, the main benefits are addressed and certain critical factors are proposed and shown in this paper to ensure the success of corporations embarking on knowledge community-based e-learning.