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Open Building and IFD (Industrial Flexible Demountable) building are philosophies that aim to create high quality buildings with increased flexibility and better environmental characteristics. However, a successful adoption of IFD principles has not yet occurred because of concerns for the types of connections that are needed between building components. Therefore, this paper describes PhD research at the University of Twente that has the objective of designing a typology of flexible interfaces for IFD building that can be widely applied in the construction industry and aims to standardize connections, at the various levels of technical composition of a building, to create compatibility between building products from different suppliers. Such a typology of interfaces will increase the re-use and recycling of building parts, resulting in the increased sustainability of the building process. Furthermore, it will help accelerate the industrialization of the housing industry and mass customization of housing. A preliminary case study, in which a sustainable, flexible bathroom is designed, illustrates the various types of interfaces that can be applied, based on existing research. The paper illustrates the importance of interfaces, and aims to increase environmental benefits of buildings (less construction waste), improve the social aspects (higher user satisfaction in buildings) and achieve economical advantages (lower overall costs) by designing new interfaces.

Different techniques applied for the fabrication of thick‐film fine lines have been analysed. The basics, achievements, advantages and disadvantages of improved screen printing, screen printing with metal masks, the direct writing method, offset printing and photoformed or photoetched thick‐film are presented. In addition, current trends in front metallisation of silicon solar cells are described. Based on a critical review, the use of thick‐film fine lines for this purpose is discussed.

The literature is full of studies of production functions with capital and labour aggregate indices, mainly for the economies or manufacturing industries of the USA and Canada. Traditional Cobb‐Douglas and CES specifications treated aggregate labour on the assumption that heterogeneous labour categories were highly substitutable. Berndt and Christensen proposed that a consistent aggregate of diverse labour exists if certain Allen‐Uzawa partial elasticities of substitution (AUES, denoted σij, i, j = factor inputs) are equal.

A mixed two‐level system is considered for parts distribution. Three approaches are studied for the division of the total item set S into subsets S⊂1 and S⊂2. The subset S⊂1 includes items directly served by the company to the end‐users and subset S⊂2 includes items served through dealers. These approaches are dealer item‐based, company item‐based and system‐based. The systems approach is compared with the two item‐based approaches from the dealer′s and company′s point of view. A market sensitivity model is developed in the systems approach, which considers the effect of customer service (primarily average delivery time and number of items in set S⊂2) on the captured market share. Optimisation of total expected profit, based on a system′s approach, leads to higher profit levels and to a larger subset S⊂2 than obtained from the two item‐based approaches.

This paper will detail the development of a multi-objective mathematical programming model for audit sampling of balances for accounts receivable. The nonlinear nature of the model structure will require the use of a nonlinear solution algorithm, such as the GRG or the genetic algorithm embedded in a Solver spreadsheet modeling system, to obtain appropriate results.

The purpose of this paper is to develop an Internet of Things (IoT)-based framework for supply chain (SC) performance measurement and real-time decision alignment. The aims of the proposed model are to optimize the performance indicator based on integrated supply chain operations reference metrics.

The SC multi-dimensional structure is modeled by multi-objective optimization methods. The operational presented model considers important SC features thoroughly such as multi-echelons, several suppliers, several manufacturers and several products during multiple periods. A multi-objective mathematical programming model is then developed to yield the operational decisions with Pareto efficient performance values and solved using a well-known meta-heuristic algorithm, i.e., non-dominated sorting genetic algorithm II. Afterward, Technique for Order of Preference by Similarity to Ideal Solution method is used to determine the best operational solution based on the strategic decision maker’s idea.

This paper proposes a dynamic integrated solution for three main problems: strategic decisions in high level, operational decisions in low level and alignment of these two decision levels.

The authors propose a human intelligence-based process for high level decision and machine intelligence-based decision support systems for low level decision using a novel approach. High level and low level decisions are aligned by a machine intelligence model as well. The presented framework is based on change detection, event driven planning and real-time decision alignment.

A trend has been developing in the United States towards the use of vertical marketing systems. Of the many types of vertical marketing systems, franchising has become one of the most dominant. This is evidenced, in part, by the nearly one‐third of retail sales in 1973 that were through franchised retailers (US Department of Commerce, 1974). The success of the franchise form of distribution hinges upon franchisors and franchisees both contributing skills and resources, frequently however franchisees and franchisors become dissatisfied with the other's contributions and actions. This dis‐satisfaction in some cases leads to substantial friction. Although it is not clear that conflict (friction) will always decrease channel efficiency it is probably safe to assume that continued conflict would be dysfunctional in a franchise channel. It is therefore the purpose of this article to discuss and empirically test several propositions about the franchisee's satisfaction with his franchisor.

Sustainability is an integrating concept and demands strategic attention in developing countries like India. Due to strict environmental regulations and ongoing government sustainable policies such as “Namami Gange,” leather industries are extensively facing challenges to conform themselves toward these sustainable policies. The major challenge faced by leather industries is the exponentially increasing cost of adaptation to sustainable product and process. Under these operational constraints, survival of Indian leather industries has become a major challenge. In this context, this paper aims to identify and evaluate sustainable manufacturing policies. The key performance indicators (KPIs) based on triple bottom line of sustainability can assist leather industries that are about to initiate adopting sustainable practices.

This paper demonstrates the role of KPIs for evaluating sustainable manufacturing policies for leather industries in India. Initially, an in-depth literature review analysis has been carried out to identify indicators for evaluation of sustainable manufacturing policies. In this work, an integrated methodology has been developed to refine the priority map of the aforementioned KPIs based on consensus building among experts using Kappa analysis. Total interpretive structural modeling (TISM) has been used to demonstrate relationships which explain the significance of the KPIs. Further, Matriced Impact Croises Multiplication Applique analysis has been carried out to explore the relationships amongst KPIs.

Based on above analysis, identified interactive relationships among the KPIs will assist managers and decision-makers to incorporate effective sustainable policies in leather industries.

It is expected that these identified interactive interrelationships between KPIs will certainly facilitate the leather industry to achieve higher sustainable performance and competitiveness.

This study carries out an in-depth literature review analysis of sustainable manufacturing policies in leather industry. The author proposes an integrated methodology using kappa analysis, consensus building and TISM for evaluation of sustainable policies based on the literature review analysis and expert opinion.

This study investigates whether cyclical turning points in the U.S. and U.K. stock markets are unevenly distributed over the year, that is, whether they are more likely to occur during certain months of the year. In examining this form of periodic seasonality, a Markov switching‐model is applied to U.S. and U.K. stock market chronologies of monthly peak and trough dates for the periods May 1835 through March 2000 and May 1836 through September 2000, respectively. In order to provide some evidence on robustness with respect to the sample data, results are obtained for the entire sample periods as well as for various sub‐. For both markets, the evidence indicates that while the probability of moving from an expansion to a contraction does not depend on the month of the year, the probability of switching from a contraction is greater for some months. Additionally, the durations of contractions, but not expansions, are dependent on the month of the year in which they begin.

In a recent paper entitled “On Lateral Thinking,” Atkinson (2011) argued that Economics has benefited not only from borrowing ideas from other disciplines such as physics (e.g., Samuelson's Foundations of Economic Analysis, 1947) or psychology (e.g., the growing importance of behavioral economics) but also from applying ideas that appeared in one subfield of Economics to another domain of Economics. As examples of such a cross-fertilization, Atkinson cites duality theory where cost functions were applied to consumer theory or Harberger's (1962) model of tax incidence that was borrowed from international trade theory. Atkinson in fact cited a sentence from his famous 1970 (Atkinson, 1970) article: “My interest in the question of measuring inequality was originally stimulated by reading an early version of the paper by Rotschild and Stiglitz (1970, 1971)” The same parallelism between uncertainty and inequality had been drawn previously by Serge Kolm in his well-known presentation at the meeting of the International Economic Association in Biarritz, France (see Kolm, 1969), which was inspired by his previous work on uncertainty (Kolm, 1966). Atkinson, however, stressed also the need for care in drawing parallels.