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In this article we address the transportation logistic problem of a company which has a number of warehouses and has to supply to a number of customers (retailer outlets). The problem facing the decision maker is to select contractors to transport the items from warehouses to retailer outlets at the minimum possible costs. Only one contractor must be given a contract to transport items from a particular warehouse. However, all the contractors can provide transportation facilities at all the warehouses if required by the company. We formulate a math model to address this problem and solve it using a math programming software. The following selections deal with the model formulation and the solution.

Sharing services increasingly extends beyond intraorganizational concentration of service delivery. Organizations have started to promote cooperation across their boundaries to deal with strategic tensions in their value ecosystem, moving beyond traditional outsourcing. This chapter addresses two research questions geared to the challenge of interorganizational shared services (ISS): why would organizations want to get and remain involved in ISS? And: what are the implications of ISS for (inter)organizational value creation?

The conceptual chapter reviews literature pertaining to ISS from public, commercial, and nongovernmental sectors. ISS is understood as a multistakeholder organizational innovation. In order to analyze ISS and conduct empirical research, we developed a taxonomy and research framework.

The chapter shows how ISS can be positioned in value chains, distinguishing vertical, horizontal, and hybrid ISS. It outlines ISS implications for developing business models, structures, and relationships. Success factors and barriers are presented that epitomize the dynamic interplay of organizational autonomy and interorganizational dependence.

The research framework offers conceptual ideas for theoretical and empirical work. Researchers involved in ISS studies may adopt strategic, strategic innovation, and organizational innovation perspectives.

ISS phases are distinguished to focus innovation management — initiation, enactment, and evaluation. Furthermore, insights are provided into processes and interventions aimed at making ISS a success for participating organizations.

Cross-sectoral perspective on ISS; taxonomy of ISS; research framework built on organization and strategic management literature.

The present paper aims to propose a basic current mirror-sensing circuit as an alternative to the traditional Wheatstone bridge circuit for the design and development of high-sensitivity complementary metal oxide semiconductor (CMOS)–microelectromechanical systems (MEMS)-integrated pressure sensors.

This paper investigates a novel current mirror-sensing-based CMOS–MEMS-integrated pressure-sensing structure based on the piezoresistive effect in metal oxide field effect transistor (MOSFET). A resistive loaded n-channel MOSFET-based current mirror pressure-sensing circuitry has been designed using 5-μm CMOS technology. The pressure-sensing structure consists of three identical 10-μm-long and 50-μm-wide n-channel MOSFETs connected in current mirror configuration, with its input transistor as a reference MOSFET and output transistors are the pressure-sensing MOSFETs embedded at the centre and near the fixed edge of a silicon diaphragm measuring 100 × 100 × 2.5 μm. This arrangement of MOSFETs enables the sensor to sense tensile and compressive stresses, developed in the diaphragm under externally applied pressure, with respect to the input reference transistor of the mirror circuit. An analytical model describing the complete behaviour of the integrated pressure sensor has been described. The simulation results of the pressure sensor show high pressure sensitivity and a good agreement with the theoretical model has been observed. A five mask level process flow for the fabrication of the current mirror-sensing-based pressure sensor has also been described. An n-channel MOSFET with aluminium gate was fabricated to verify the fabrication process and obtain its electrical characteristics using process and device simulation software. In addition, an aluminium gate metal-oxide semiconductor (MOS) capacitor was fabricated on a two-inch p-type silicon wafer and its CV characteristic curve was also measured experimentally. Finally, the paper presents a comparative study between the current mirror pressure-sensing circuit with the traditional Wheatstone bridge.

The simulated sensitivities of the pressure-sensing MOSFETs of the current mirror-integrated pressure sensor have been found to be approximately 375 and 410 mV/MPa with respect to the reference transistor, and approximately 785 mV/MPa with respect to each other. The highest pressure sensitivities of a quarter, half and full Wheatstone bridge circuits were found to be approximately 183, 366 and 738 mV/MPa, respectively. These results clearly show that the current mirror pressure-sensing circuit is comparable and better than the traditional Wheatstone bridge circuits.

The concept of using a basic current mirror circuit for sensing tensile and compressive stresses developed in micro-mechanical structures is new, fully compatible to standard CMOS processes and has a promising application in the development of miniaturized integrated micro-sensors and sensor arrays for automobile, medical and industrial applications.

Cracks on surface are often identified as one of the early indications of damage and possible future catastrophic structural failure. Thus, detection of cracks is vital for the timely inspection, health diagnosis and maintenance of infrastructures. However, conventional visual inspection-based methods are criticized for being subjective, greatly affected by inspector's expertise, labor-intensive and time-consuming.

This paper proposes a novel self-adaptive-based method for automated and semantic crack detection and recognition in various infrastructures using computer vision technologies. The developed method is envisioned on three main models that are structured to circumvent the shortcomings of visual inspection in detection of cracks in walls, pavement and deck. The first model deploys modified visual geometry group network (VGG19) for extraction of global contextual and local deep learning features in an attempt to alleviate the drawbacks of hand-crafted features. The second model is conceptualized on the integration of K-nearest neighbors (KNN) and differential evolution (DE) algorithm for the automated optimization of its structure. The third model is designated for validating the developed method through an extensive four layers of performance evaluation and statistical comparisons.

It was observed that the developed method significantly outperformed other crack and detection models. For instance, the developed wall crack detection method accomplished overall accuracy, F-measure, Kappa coefficient, area under the curve, balanced accuracy, Matthew's correlation coefficient and Youden's index of 99.62%, 99.16%, 0.998, 0.998, 99.17%, 0.989 and 0.983, respectively.

Literature review lacks an efficient method which can look at crack detection and recognition of an ensemble of infrastructures. Furthermore, there is absence of systematic and detailed comparisons between crack detection and recognition models.

The purpose of this paper is to develop a composite index (CI) to evaluate the sustainability performance of an aircraft manufacturing firm using Fuzzy Best Worst Multi Criteria (FBWM) decision-making approach. It identifies a wide range of sub-dimensions and their attributes to measure sustainability in a multi-echelon supply chain.

FBWM, a hybrid multi-criteria decision making method, relies on multiple sub-dimensions and attributes for assessment of sustainability. Sub-dimensions and attributes are identified from a detailed literature review and inputs from 17 experts. The weights are evaluated using best worst method (BWM). Quantitative measurements are very difficult for attributes like living conditions, noise emission, etc., so the performance of attributes are assessed using Fuzzy logic. The proposed methodology is validated with the case study of a single unit of an Indian aircraft manufacturing firm.

Economic concerns emerge as the most influential dimension of sustainability in the aerospace sector. The results reveal that the firm considered in the case study is “Very Sustainable.” Firm’s performance ratings are excellent in three out of 79 attributes considered for the study. Further, 24 weaker (least performing) attributes are identified with the help of fuzzy performance index. These require managerial action for improvements.

The present study is based on inputs from a small group of managers in a single firm in India. It can be extended to a large group of executives in other firms like Boeing, Airbus, etc. for testing the validity of the proposed methodology and generalization of the findings.

Managers, consultants and audit agencies can use the proposed CI developed in this paper for evaluating the sustainability performance of a firm. It assists managers to identify weaker attributes for which they may plan and prioritize their activities for improvements.

To the best of the authors’ knowledge, this is the first paper to measure sustainability in an aircraft manufacturing firm. The paper proposes a novel framework based on fuzzy BWM, for assessing sustainability performance.

The purpose of this paper is to report a literature review which was conducted to trace the quality journeys occurring in industrial and educational scenarios.

First, the literature was reviewed to trace the efforts made to implement quality models in industrial scenarios. Quality models include International Organisation for Standardisation (ISO) 9000 certification, Malcolm Baldrige National Quality Award (MBNQA), Deming Prize and European Quality Award (EQA). Next, the literature was reviewed to trace the quality journey being undertaken in an engineering educational scenario.

Modern Engineering Educational Institutions (EEIs) are required to first accredit their programs by following Accreditation Board for Engineering and Technology (ABET)‐based stipulations. Then, these EEIs have to strive to implement quality models.

Because of the low volume of research conducted, relatively very few papers dealing with ABET and quality models could be reviewed. However, the exhaustive review of most of these papers has overcome this limitation.

First, modern EEIs should gain accreditation to ABET and then strive to obtain quality models. This endeavour would make fresh engineers employable in industrial scenarios.

It appears that no researcher has so far attempted to examine the implementation of quality models in an engineering educational scenario. In this context, the results of the literature review reported in this paper could be utilized while implementing quality models in EEIs via ABET‐based accredited programs.

The purpose of this article is to explore and classify the pattern of themes and challenges in developing socially sustainable supply chains.

The methodology is based on a systematic review of the peer-reviewed literature to explore what major themes and challenges have been discussed and the significant gaps where opportunities for further research can be found.

In total, four categories of themes were identified, namely, human-centric, focal organization-centric, supply chain-centric and governance-centric. Challenges were classified into seven categories, namely, inadequate and asymmetric knowledge, difficulties of operationalization, shifting the values, subjectivity in evaluation, governance complexity, difficulties of small- and medium-sized enterprises and sustainability fade.

The focus of the article is on the social pillar of sustainable development in the context of supply chains. A more holistic systematic investigation of synergy of all the three pillars/bottom lines of sustainable development (economic, environmental and social) can be an opportunity for further research.

Taking a more holistic view of the pattern of currently discussed themes and challenges may be beneficial in increasing the absorptive capacity of industrial and business practitioners, by accumulating and assimilating external knowledge, when they design and operationalize innovative strategies in developing sustainable supply chains.

This article may increase awareness about the social responsibilities of supply chains actors and stakeholders in different scales. It may also guide managers, decision makers and practitioners to better understand the difficulties, obstacles or dilemmas that can hinder the sustainable development of supply chains. The results section presents a framework driven from the emerged themes, and the discussion section provides propositions for tackling the challenges and opportunities for further research.

Traditional artisans are the worst victims of globalisation and corporate entry into their local economy and hand-driven production processes. For their rehabilitation, protection, preservation and promotion of cultural heritage, embedded, inter alia, in the built environment, a suitable framework need to be crafted within the broad domain of mandatory corporate social responsibility (CSR) envisaged under The Indian Companies Act, 2013. Conceived in the above backdrop, the study attempts to situate traditional artisans as stakeholders worthy of development interventions under CSR. For want of studies and notable interventions in the above context, few small CSR cases are reviewed and a number of worthwhile areas of interventions are proposed in terms of a wish list, drawn from the socio, economic, educational, employment and cultural milieu of traditional artisans. It is found that they come under the discretionary category of stakeholders, who possess the attribute of legitimacy, but they have no power to influence the firms and no urgent claims. The study points to the necessity for establishing a National Artisans’ Rehabilitation and Development Fund, besides artisan-friendly sharpening of the schedule of CSR activities in the Indian context.