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The purpose of this paper is to optimize the design of charging station deployed at the terminal station for electric transit, with explicit consideration of heterogenous charging modes.

The authors proposed a bi-level model to optimize the decision-making at both tactical and operational levels simultaneously. Specifically, at the operational level (i.e. lower level), the service schedule and recharging plan of electric buses are optimized under specific design of charging station. The objective of lower-level model is to minimize total daily operational cost. This model is solved by a tailored column generation-based heuristic algorithm. At the tactical level (i.e. upper level), the design of charging station is optimized based upon the results obtained at the lower level. A tabu search algorithm is proposed subsequently to solve the upper-level model.

This study conducted numerical cases to validate the applicability of the proposed model. Some managerial insights stemmed from numerical case studies are revealed and discussed, which can help transit agencies design charging station scientifically.

The joint consideration of heterogeneous charging modes in charging station would further lower the operational cost of electric transit and speed up the market penetration of battery electric buses.

This paper aims to optimize the charging schedule for battery electric buses (BEBs) to minimize the charging cost considering the time-of-use electricity price.

The BEBs charging schedule optimization problem is formulated as a mixed-integer linear programming model. The objective is to minimize the total charging cost of the BEB fleet. The charge decision of each BEB at the end of each trip is to be determined. Two types of constraints are adopted to ensure that the charging schedule meets the operational requirements of the BEB fleet and that the number of charging piles can meet the demand of the charging schedule.

This paper conducts numerical cases to validate the effect of the proposed model based on the actual timetable and charging data of a bus line. The results show that the total charge cost with the optimized charging schedule is 15.56% lower than the actual total charge cost under given conditions. The results also suggest that increasing the number of charging piles can reduce the charging cost to some extent, which can provide a reference for planning the number of charging piles.

Considering time-of-use electricity price in the BEBs charging schedule will not only reduce the operation cost of electric transit but also make the best use of electricity resources.

Samuels always saw the history of economics as intellectual history (Samuels, 1974). The history of economics could not be confined to a record of doctrines economists have advanced, particularly as found in a handful of key written texts, since these doctrines had to be understood in their historical context along with many other types of historical evidence and materials. That is, economic doctrines do not stand on their own, however plausible and well-argued they may appear to be, but have their meaning and credibility according to how well they along with many other historical materials speak to the issues of their time. While this seems an obvious and correct point to make about how to understand the history of economics, Samuels argued that it turns out to be more far-reaching than it initially appears when one considers the character of the world which economic doctrines must somehow explain together with the problem of representation.First, social reality is itself heterogeneous and ambiguous … [which] permits a complex and heterogeneous body of knowledge thereof. Second, our modes of intellectualizing and interpreting social reality are complex and heterogeneous: there are diverse epistemological credentials, diverse modes of thought, and diverse systems of rationality. (Samuels, 1974, p. 306)

The purpose of this paper is to investigate the impact of wholesale price discrimination by a manufacturer in a retailer–e-tailer dual-channel supply chain for different product categories based on their online channel preference.

This paper considers a dual-channel supply chain comprising of a retailer and an e-tailer engaged in competition. Game-theoretic models are developed to model the competition between the retailer and e-tailer and to derive their optimal price, optimal order quantity and optimal profit under (1) equal wholesale price strategy and (2) discriminatory wholesale price strategy. Further, a numerical example was employed to quantify the results and to capture the variation with respect to online channel preference of the product.

It is beneficial for the manufacturer to adopt a discriminatory wholesale price strategy for products having both high online channel preference and low online channel preference. However, equal wholesale price strategy is beneficial for the e-tailer and the retailer in the case of products having high online channel preference and in the case of products having low online channel preference, respectively.

The study helps the manufacturers to maximize their profit by adopting the right wholesale price strategy considering the online channel preference of the product when the manufacturers are supplying to heterogeneous retailers.

There is scant literature on the wholesale price strategy of the manufacturer considering the heterogeneous downstream retailers. This paper contributes the literature by bridging this gap. In addition, the study establishes a link between the wholesale price strategy and online channel preference of the product.

A paucity of studies has used a microfoundation lens to examine servitization processes in internationalized knowledge-intensive business service (KIBS) companies. The research aims to bridge this gap by considering knowledge sharing as a form of both codified knowledge and informal feedback knowledge; it also assesses whether the adoption of knowledge transfer and translation practices in a servitization process positively moderates the effect of knowledge transformation on knowledge sharing for internationalized KIBS companies.

By adopting a microfoundation lens, the research offers an empirical analysis to identify the relations between codified and tacit knowledge in servitization processes within internationalized KIBS companies. The study is based on 326 respondents from 30 KIBS companies. A multiple regression analysis was used for hypotheses testing.

The authors found significant relations among the use of electronic documents in the servitization process (formal codified knowledge), personal advice in servitization (informal feedback knowledge) and knowledge sharing in internationalized KIBS companies. Findings also support the indirect effect assumed in the hypothesis between knowledge transformation and knowledge sharing in internationalized KIBS companies, which is positively moderated by the adoption of cross-cultural knowledge practices in the servitization process.

To the best of the authors’ knowledge, this research provides the first conceptual model of the use of a microfoundation lens to examine knowledge sharing in internationalized KIBS companies. The micro level features individual knowledge sharing in the servitization process, while the meso level focuses on knowledge transformation in KIBS companies and the adoption of knowledge transfer and translation practices in the servitization process.

Heterogeneous traffic in Delhi is complex to understand due its typical composition, speed acceleration, cruising, deceleration and idling activity in flow. To arrive at accurate emission factor estimates and implement proper traffic demand management there is need to understand microscopic vehicle operation activity. The vehicular operations are easily quantified by understanding driving cycle of the particular vehicle in real world driving conditions. The purpose of this paper is to present a study on the understanding of driving conditions in India that are heterogeneous in nature.

To understand the heterogeneity, the driving cycle data were collected using GPS on different types of both motorised and non‐motorized modes of transport, e.g. car, auto rickshaw, bus, motorcycle and cycle rickshaw and bicycle on different traffic corridors in Delhi.

Research findings show that driving cycles differ for different types of vehicles. Therefore, each mode should be encouraged based on their average speed‐time sequence in any traffic mix. The real‐world driving cycle will be also useful for the understanding of fuel consumption and emissions in real‐world scenarios, in order to control vehicle emissions properly, achieve fuel efficiency and to obtain a more sustainable transport system.

This type of research has not been carried out previously in any Indian city.

The purpose of this paper is to discuss the inelastic behavior of heterogeneous structures within the framework of finite element modelling, by taking into the related probabilistic aspects of heterogeneities.

The paper shows how to construct the structured FE mesh representation for the failure modelling for such structures, by using a building‐block of a constant stress element which can contain two different phases and phase interface. All the modifications which are needed to enforce for such an element in order to account for inelastic behavior in each phase and the corresponding inelastic failure modes at the phase interface are presented.

It is demonstrated by numerical examples that the proposed structured FE mesh approach is much more efficient from the non‐structured mesh representation. This feature is of special interest for probabilistic analysis, where a large amount of computation is needed in order to provide the corresponding statistics. One such case of probabilistic analysis is considered in this work where the geometry of the phase interface is obtained as the result of the Gibbs random process.

The paper confirms that one can make the most appropriate interpretation of the heterogeneous structure properties by taking into account the fine details of the internal structure, along with the related probabilistic aspects with the proper source of randomness, such as the one addressed herein in terms of porosity.