Remote control and maintenance outsourcing networks and its applications in supply chain management

The paper analyzes the impact of e-business technologies on maintenance management and supply chain operations. The aim of this work is to investigate the network organization level of supply chains in case of remote maintenance application and to understand how maintenance policies are coupled with information technology (IT) solutions. To this purpose two literature reviews are presented: firstly, on the supply chain and network integration, and then on the evolution of maintenance using information technology. Following this, the paper present four specific industrial case-studies of eMRO network organisation. They have been chosen as reference models from a set of practical applications and pilot tests performed by the authors in different production sectors in the last 5 years. Technology complexity environments, maintenance outsourcing level, and supply chain integration context are discussed for each case-studies with particular regards to the profitable forms of collaboration provided by the introduction of IT and the Web. This analysis work toward the development of a framework useful to: (1) classify different e-maintenance systems and understand the relationships between the different members of the network, and (2) identify the variables which can influence the introduction and development of the systems.     

STOCHASTIC ANALYSIS OF INPUT–OUTPUT MULTIPLIERS ON THE BASIS OF USE AND MAKE TABLES

Although technical coefficients are estimated on the basis of flow data (use and make matrices), they are rarely treated as random variables. If this is done, an error term is added to the coefficients, rather than derived from the distribution of the data. Even so, the calculation of multipliers, by means of the Leontief inverse, is difficult. Due to the nonlinearity of this operation, the multiplier estimates are biased. By going back to the flow data, this paper provides unbiased and consistent employment and output multipliers estimates for the Andalusian economy. Rectangular use and make matrices are accommodated and problems associated with the construction and estimation of technical coefficients and the Leontief inverse are circumvented.     

On the role of the utility function in the estimation of preference parameters

Modern economic theory summarizes the main characteristics of individual preferences through a definite set of parameters: risk aversion, prudence, and the elasticity of intertemporal substitution. Despite their importance, the results of the literature devoted to the parameters’ estimation are controversial. This paper highlights the neglected role that may have been played by the constraints that the quantitative definition of the parameters and the utility functions employed impose on the estimation. A number of simulation exercises are presented, which show that the same saving behaviour can be associated with quite different values of the parameters depending on the utility function adopted.     

Structural change and blurred sectoral boundaries: assessing the extent to which knowledge-intensive business services satisfy manufacturing final demand in Western countries

This paper focuses on the vertical integration of knowledge-intensive business services (KIBS) into manufacturing sectors, using a subsystem approach to input–output analysis. It aims at correctly assessing the process of structural change that has occurred in the four main European countries (France, Germany, Italy and the UK) over time (1995–2005). It does not focus on KIBS sectors per se, but on their function as carriers and sources of knowledge which influences the performance of sectors, value chains and clusters across industries and within countries. The analysis shows that KIBS’ contribution to satisfying the final demand of manufacturing is in general largely underestimated; that KIBS vertical integration into manufacturing has increased over time in all the countries investigated except the UK; and that the extent to which manufacturing sectors outsource to KIBS is significantly affected by their technological intensity.     

General competitive equilibrium of the spatial economy : Two Teasers

The local indivisibility of space complicates general equilibrium analysis. Mazzoleni and Montesano (1984, p. 286), suggest that the usual reasoning of the non-spatial analyses of competitive equilibrium can be performed in the context of a commodity space that contains subsets of land. This space, however, lacks a linear structure, so it resists application of the usual reasoning. Two examples will show that Mazzoleni and Montesano's existence results are flawed.     

Optimal safety stock levels of subassemblies and manufacturing components

In order to control the time to market and manufacturing costs, companies produce and purchase many parts and components before receiving customer orders. Consequently, demand forecasting is a critical decision process. Using modular product design and super bills of materials are two effective strategies for developing a reliable demand forecasting process. They reduce the probability of stockouts in diversified production contexts. Furthermore, managing and controlling safety stocks for pre-assembled modules provide an effective solution to the problem of minimizing the effects of forecast errors. This paper develops, evaluates, and applies innovative cost-based analytical models so that the optimal safety stock of modular subassemblies and components in assembly to order and manufacturing to order systems, respectively, can be rapidly quantified. The implementation of the proposed models in two industrial case applications demonstrates that they significantly reduce the safety stock inventory levels and the global logistical cost.     

PRIMARY VERSUS SECONDARY PRODUCTION TECHNIQUES IN U.S. MANUFACTURING

In this paper we analyze the determinants of material inputs into individual production activities as a function of their outputs. We use observations on a large cross-section of U.S. manufacturing plants from the Census of Manufactures, including those that make goods primary to other industries, to study differences in production techniques. We find that in most cases material requirements do not depend on whether goods are made as primary products or as secondary products. We thus elucidate support for the commodity technology model as a useful working hypothesis.     

经济转轨国家劳动力市场政策及对我国的启示

劳动力市场是市场经济的重要组成部分，我国要继续深化经济体制改革。必须要建立一个高效、有序的劳动力市场。本文在阐述了劳动力市场理论之后，分析了原苏联、东欧国家在经济转轨过程中关于劳动力市场的经验和教训，并以此提出了进一步完善我国劳动力市场的几点建议。     

Retailers’ product location problem with consumer search

Quantitative Marketing and Economics - With few exceptions, today’s retailers sell products across multiple categories. One strategic consideration of such retailers is product location,...     

Defining and measuring the development of a country over time: a proposal of a new index

This paper introduces the concept of harmonic growth as an extended acceptation of the notion of development, and discusses its measurement via the Harmonic Growth Index (HGI). The growth is seen as harmonic when the behaviour of a benchmark time series, which here is a measure of wealth, such as per capita GDP, is followed by a similar pattern in socio-economic series. Unlike most widely used indicators in the literature, which take into account the measurement of development over a single time, HGI measures the degree to which a social indicator’s time series pattern matches with the GDP’s. The index is a function, ranging in [0, 1], of the coefficients of the uniform B-splines fitted to each time series, according to the functional data framework. A case study on Mediterranean welfare countries (Greece, Italy, Portugal, and Spain), in the period 1996–2007, shows critical differences in the selected indicators which can be ascribed to their dissimilar specific development models. HGI can be also considered as a general index to measure the similarity between time patterns, or as an alternative to correlation for (non-necessarily linear) time series.